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Copper-Based Antibiotic Strategies: Exploring applications in the hospital setting and the targeting of Cu Regulatory Pathways and Current Drug Design Trends

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23 May 2023

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23 May 2023

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Abstract
Classical antibacterial drugs were designed to target specific bacterial properties distinct from host human cells to maximize potency and selectivity. These designs were quite effective as they could be easily derivatized to bear next generation drugs. However, the rapid mutation of bacteria and their associated acquired drug resistance have led to the rise of highly pathogenic superbug bacterial strains for which treatment with first line drugs is no match. More than ever, there is a dire need for antibacterial drug design that goes beyond conventional standards. Taking inspiration by the body’s innate immune response to employ its own supply of labile copper ions in a toxic attack against pathogenic bacteria, which have a very low Cu tolerance, this review article examines the feasibility of Cu-centric strategies for antibacterial preventative and therapeutic applications. Promising results are shown for the use of Cu-containing materials in the hospital setting to minimize patient bacterial infections. Studies directed at disrupting bacterial Cu regulatory pathways elucidate new drug targets that can enable toxic increase of Cu levels and perturb bacterial dependence on iron. Likewise, Cu intracellular chelation/prochelation strategies effectively induce bacterial Cu toxicity. Cu-based small molecules and nanoparticles demonstrate the importance of the Cu ions in their mechanism and display potential synergism with classical drugs.
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Subject: Chemistry and Materials Science  -   Other

1. Introduction

Antibiotics are essential in modern healthcare to treat infectious diseases; however, because of inappropriate use in human health and agriculture, drug-resistant bacteria known as "superbugs" have emerged [1]. Antimicrobial resistance (AMR) is a leading cause of death, directly resulting in at least 1.27 million deaths worldwide in 2019 [2]. Out of the 1.27 million, six leading pathogens - Escherichia coli (E. coli), followed by Staphylococcus aureus (S. aureus), Klebsiella pneumoniae (K. pneumoniae), Streptococcus pneumoniae (S. pneumoniae), Acinetobacter baumannii, and Pseudomonas aeruginosa (P. aeruginosa)- were responsible for over 73% of deaths [2]. Aggravating this problem, the Center for Disease Control and Prevention (CDC) reported a decline in progress in combating AMR in the U.S.. There was a 15% increase in resistant nosocomial infections and deaths during the first year of the COVID-19 pandemic compared to 2019 [3]. While the effects of the pandemic on AMR have yet to be established globally, these reports emphasize the urgent need to refocus research and strategies to reduce AMR.
Traditional antibiotics are mostly comprised of organic compounds that target specific bacterial synthesis pathways like: DNA (quinolones) [4], cell wall (β-lactams) [5], protein (tetracyclines) [6], and folate (sulfonamides) [7]. Even if they’re selective towards bacteria, these drugs are now limited in their effect, and in some cases are inactive when it comes to treating AMR. Developing new classes of antimicrobials that are effective againstmulti-drug resistant (MDR)- bacteria is a global necessity. Frei et al. embarked on a quest to screen new and diverse compounds for antimicrobial properties.They screened over 295,000 compounds, which originated from compound libraries of academic laboratories [8]. While most fell into the usual conventions for antibacterial drug properties, 906 were metal-containing compounds, with 9.9% of these exhibiting antimicrobial activity and no toxicity as measured by their cytotoxicity against human embryonic kidney (HEK293) cells and red blood cells compared to the overall 0.87% hit rate, including all the compounds tested by the Community for Open Antimicrobial Drug Discovery (CO-ADD) [8]. This study highlights the diversity and potential of metals and their complexes in antimicrobial research. Additionally, from this work, Frei et al. also found 13 copper(Cu)-containing compounds as active against bacteria, and 6 were considered active and non-toxic.
Using Cu against pathogens has a long medical history traced back to wound treatments and water sanitization by Egyptians around 2600 BC [9]. Arendsen et al. summarized studies demonstrating Cu concentration-dependent bactericidal activity against a broad spectrum of bacteria, including multidrug-resistant (MDR)-Gram-negative bacteria like Methicillin Resistant Staphylococcus aureus (MRSA), in Cu welding coupons and Cu-containing bioactive wound dressings [9]. In these materials, Cu exhibits regulatory effects on cell proliferation and wound healing. Cu-impregnated sanitary towels, for instance, significantly reduce postpartum perineal wound infections [9,10].
Although essential in humans and to a lesser extent bacteria, Cu is quite toxic and is thus tightly regulated by these organisms. Humans, however, have a much higher tolerance for Cu than bacteria. In the case of Salmonella, labile Cu is maintained at 10-18 M [11], whereas in normal human serum, Cu is maintained at ~20 x 10-6 M [12]. Several researchers exploit the higher toxicity of Cu toward bacteria in the development of antibiotic strategies centered on using Cu against bacteria especially against superbug strains. In this perspective article we will discuss Cu-centered infection preventative measures in the hospital setting and the design of therapies focused on targeting Cu regulatory pathways in bacteria to increase Cu load and on Cu coordination chemistry. We also examine advances in the use of Cu nanoparticles (NPs) as antibiotic agents, especially with regards to surface modifications that improve their biocompatibility and potency. The underlying objective is to highlight key achievements of these Cu-based strategies and important synergism with known antibiotic drugs that researchers can use to expand the toolset of metal-based antibiotics to meet the challenges of current and future global health risks of AMR.

2. Copper uses in hospital settings

Taking advantage of the known antimicrobial properties of Cu, recent studies have examined the use of Cu and Cu alloys in hospital bed linens, patient gowns, bed rails, intravenous poles, faucet handles and many other highly touched surfaces in hospitals to decrease bacterial accumulation on these surfaces [13,14,15]. The motivation behind these studies is that one of the many factors that contribute to healthcare-associated infections (HAIs) is the hospital surfaces and medical devices contaminated with pathogenic bacteria [13]. HAIs are patient-acquired infections that were not present when the patient was admitted to the hospital. These types of infections are being constantly monitored by agencies such as the National Healthcare Safety Network (NHSN) of the Center for Disease Control and Prevention (CDC). Among the most common HAIs are the catheter-associated urinary tract infections (CAUTI), Hospital-acquired Pneumonia (HAP), Ventilator-associated Pneumonia (VAP), and Clostridium difficile infections [16].
In order to reduce HAIs in Sentara Healthcare Hospitals, regular non-biocidal linens were replaced with copper oxide-impregnated beddings. Butler et al. determined if such replacement had a reduced effect on HAIs [15]. They compared the rates of HAIs caused by Clostridium difficile (CD) and multidrug-resistant organisms (MDROs) in three parallel periods by replacing all the regular non-biocidal linens with the copper oxide-impregnated biocidal linens. CD is a superbug that can cause diarrhea and colitis, and one in 11 people over the age of 65 with this HAI die within one month [17]. A significant reduction of HAIs caused by combined CD and MDROs, and CD alone was seen, when copper oxide-impregnated linens were used. Reductions in HAIs caused by MDROs did not reach statistical significance [15]. A similar study by Arendsen et al., replaced non-Cu wound dressings with 3% copper-oxide impregnated wound dressings to investigate its effect on surgical site infection (SSI) rate after a cesarean section (CS). They measured, via a telephone questionnaire, the SSI incidence within a 30-day period from the CS. A significant 38.7% reduction of overall SSI rate and a significant 80.3% reduction of organ/space SSI with the use of a copper impregnated wound dressing was seen. Nevertheless, a significant difference was not seen for the incidence of superficial/deep SSI (24.2% vs. 17.6%) [10].
Additionally, various studies have shown that Cu alloy surfaces sustain the terminal cleaning bacteria concentration levels of different hospitals [18,19]. Terminal cleaning is the process of cleaning and disinfecting all surfaces in the healthcare facility or within an individual hospital room including floors and reusable equipment. This process is required after an outbreak or increased incidence of infection, and a transfer or death of a patient who has had a known infection [20]. Schmidt et. al. performed a pragmatic crossover study on the Highpoint Health Hospital where five high-touch intensive care unit (ICU) bed surfaces were either fabricated with polyester, or with U.S. Environmental Protection Agency (U.S. EPA) registered antimicrobial Cu, an alloy that contains 91.3% of Cu [21]. This study showed that beds with Cu surfaces harbored significantly fewer bacteria than control beds at levels below those considered to increase the likelihood of HAIs, and below the concentrations recommended after terminal cleaning and disinfection of 2.5 aerobic CFU/cm2 [18]. Similarly, another study by Hinsa-Leasure et. al. conducted at the Grinnell Regional Medical Center showed that in both occupied and unoccupied rooms, materials fabricated with Cu alloys had significantly lower bacteria concentrations compared with control rooms, and these were either at or below the levels prescribed upon terminal cleaning [19]. In these studies, the Cu surfaces are often referred to as self-disinfecting as these did not require additional cleaning or maintenance after terminal cleaning.
There are different types of Cu alloys used in hospital surfaces, and a study by Bryce et. al. evaluated whether three different Cu alloys differed from stainless steel (control) in their antimicrobial efficacy, durability, and compatibility with hospital-grade cleaner/disinfectants [22]. The three Cu-based alloys used in this study were: (a) spray-on alloy coating of 80% Cu–20% Nickel (Ni) applied onto hospital-grade stainless steel, (b) integral 80% Cu–20% Ni, and (c) Cu-impregnated surface that is a 16% copper oxide product embedded in the polymer. These alloys were tested by using 25 × 25 × 3 mm disks that were subjected to a year of cleaning and disinfection with the use of the WiperatorTM. Three different common hospital disinfectants were used to evaluate the compatibility: accelerated hydrogen peroxide (AHP), quaternary ammonium (QA), or sodium hypochlorite solution (CL). The results of this study showed that all Cu formulations exhibited antimicrobial activity, but integral and spray-on copper alloys showed the greatest efficacy. Additionally, exposure to disinfectants could also affect the antimicrobial efficacy of all the surfaces. In the case of integrated alloy, the antimicrobial efficacy was reduced when exposed to the disinfectant. The possible reason behind this reduction of the antimicrobial efficacy was because, as AHP is an oxidizing agent, it can oxidize the Cu on the alloy and create copper oxides, which have been demonstrated to have less Cu ion release. It is important to mention that there was an observed degradation of the copper surfaces throughout the year they analyzed, but it was not significant enough to affect the integrity of the surface. The same trend was seen when CL was used, which is also an oxidizing agent. As for the assessment of durability, integral Cu alloy showed the highest durability and the least mass loss and abrasion-corrosion rate compared to stainless steel [22].
Various Cu surface applications exhibit significant antimicrobial activity, and some of these prevent infections caused by the high bacteria burden on highly touched areas, demonstrating the feasibility of a real-life application of Cu for the prevention of HAIs. Cu also has the potential to be incorporated in individual medical equipment [23]. A preliminary study by Wu et. al. tested the possibility of an antimicrobial Cu surface for prosthetic joint material [23]. To do this, they coated ultra-high-molecular-weight polyethylene (UHMWPE) with Cu via aerosol assisted chemical vapor deposition. They used UHMWPE as it is used as a component for hip and knee implants worldwide. The results of this study showed a significant bactericidal effect of the Cu-containing surface and a 4.55log and 4.81log reduction of the bacterial number compared with the uncoated UHMWPE . In addition, after the recovery of the bacteria in PBS, the Cu-coated UHMWPE was stained with live-dead stain and compared with the uncoated UHMWPE. It was seen that the bacteria left on the copper coated sample were dead, whereas those on the control sample were alive [23].

3. Copper bioinorganic chemistry

Cu can be found in organisms in both ionic forms, Cu(I) and Cu(II), and it serves as an important cofactor for several enzymes. The capability of Cu to cycle between both oxidation states is essential because it provides redox (oxidation-reduction) activity to certain enzymes, allowing organisms to regulate reactive oxygen species (ROS) stress. ROS are the highly reactive radical byproducts of O2 metabolism [14]. The uncontrolled accumulation of ROS in organisms can damage proteins and DNA, via a generalized stress response [24]. Cu and Zn are cofactors in the enzyme superoxide dismutase (SOD); this enzyme has the antioxidant capability to transform ROS radicals into molecular oxygen (O2) [25,26]. Cu(II) coordination by the SOD active site promotes a two-step reaction that transforms superoxide into oxygen and hydrogen peroxide (Scheme 1) [25].
An excess of Cu ions can also affect organisms in the presence of oxygen. Cu has the potential to catalyze the production of ROS via a Fenton-like reaction (Scheme 2) [29,30]. The presence of peroxides is the critical component in promoting the formation of ROS via “Fenton-like” chemistry, leading to lipid peroxidation, protein oxidation, DNA damage, and degrade enzyme cofactors such as iron-sulfur (Fe-S) clusters [29].
To understand Cu’s activity in organisms, we must also look at its biorelevant coordination chemistry (Table 1) [31]. Cu(I), predominant in the reducing intracellular environment, is a soft Lewis acid, meaning that it can bind to soft Lewis bases like thiol groups -RS- (found in cysteine) and cyano (CN-) ligands. In contrast, Cu(II), an intermediate acid, prefers binding to, depending on its coordination number and geometry, base ligands such as H2O, OH-, and RNH2 [31,32], but can also bind to intermediate imidazole and soft S-donor groups [27]. As a point of comparison, the essential metal Fe exists physiologically in the (Fe(II) (intermediate acid) and (Fe(III) (hard acid) forms (Table 1) [27]. Different proteins interact with Cu(I/II) through some common modalities, by coordinating to the terminal amine and terminal carboxylate groups, the side groups containing O, N, S coordinating atoms, or the amide backbone. These binding capabilities make Cu(I/II) transport possible in living organisms.
Cu coordination in cuproenzymes and Cu proteins can have distinct modalities (Figure 1). Type 1 Cu, also known as blue copper, has a characteristic electronic absorption at 600 nm and is usually found in plastocyanins, auracyanin, azurin, and other cyanine derivatives [31]. Type 2 Cu has a characteristic for not having an absorption at 600 nm [33], and is usually found in Cu-Zn SOD enzymes, and some oxidases like amine oxidase [31]. The amino terminal copper and nickel (ATCUN) motif is similar to type 2 Cu. It is found in terminal sites of some proteins and has been observed to have antimicrobial properties, which will be discussed later (Section 6). Type 3 Cu is known as the binuclear family of copper binding proteins, with distinct electronic absorption bands at 350 and 600 nm [31,34]. Some examples of type 3 Cu are haemocyanins, tyrokinase, and tyrokinase derivatives [34]. Cu type A (CuA) is a subfamily group from type 3 copper, with the difference being that the Cu can bind to cysteines, and are characteristic for being clear when the Cu ions are reduced, and purple when oxidized; cytochrome c oxidase, and nitrous oxide reductases are common examples of CuA [31,34].

4. Copper transport in eukaryote and prokaryote cells

Metalloplasia, a recently coined term by Chang et al., defines metal-dependent cell growth and proliferation [35]. It exemplifies the importance of metals in cell regulatory pathways and their metabolic functions. Cuproplasia encompasses both primary and secondary effects of Cu in signaling pathways, including both enzymatic and non-enzymatic Cu modulated activities [35]. Cuproenzymes have evolved to utilize Cu as a catalytic cofactor to perform biological functions, many related to oxygen [36]. To avoid Cu metal loss when redox cycling in cuproenzymes, Cu(II) ions in these groups of proteins are tightly coordinated. Cu sensors, chaperones, and transporters are essential in the proper biodistribution of Cu and in the regulation and maintenance of Cu related functions.
In complex organisms like humans, Cu is transported throughout the plasma via the enzyme ceruloplasmin; this cuproenzyme carries 95% of copper in humans [37]. Eukaryote cells import Cu (Cu influx) via active transport using a plasma membrane enzyme Cu(I) importer (CTR1). Once Cu enters the cell, the Cu enters in a dynamic labile pool, which largely consists of small molecular weight Cu(I) complexes [38,39,40,41,42]. Recently, the existence of small molecular Cu(II) weight species were also identified to be part of this pool [43]. There is a rapid turnover of this Cu intracellular population, with metallochaperone proteins quickly binding Cu ions to deliver them to areas where the cell needs it for functionalization [44,45,46]. For instance, the ATOX metallochaperone delivers Cu to Cytochrome c oxidase and metallochaperone for dismutase (CCS) delivers Cu to superoxide dismutase (SOD) [44]. Metallochaperones also deliver Cu to metallothionein for storage. They also participate in maintaining Cu homeostasis by delivering Cu to exporters to efflux it from cells and enable its bodily redistribution or excretion (Figure 2). Under normal conditions, ATOX1 transfers Cu(I) to the Cu(I)-transporting ATPases, ATP7A, and ATP7B, primarily localized in the trans Golgi network to provide for systemic Cu supply and maturation of specific cuproproteins; from here, the Cu efflux from cells occurs [47].
Bacteria, which are prokaryotes, regulate Cu levels much more than eukaryotic cells because they have a much lower requirement for it [48]. Bacteria can be separated into two main groups due to structure and morphological differences: Gram-negative and Gram-positive. Gram-negative bacteria possess two cellular membranes, an inner and outer membrane separated by a peptidoglycan layer (Figure 3). This outer membrane contains phospholipids, lipoproteins, and lipopolysaccharides. Gram-positive bacteria only possess an inner membrane and do not have a periplasm. To protect the inner membrane, Gram-positive bacteria have a cell wall (Figure 3) [49]. There are atypical bacteria, which could be either Gram-positive or Gram-negative, but the thin or lack of peptidoglycan layer makes it impossible to be marked by the Gram stain [50]. Bacteria rely on a network of exporters to carefully control the accumulation of Cu [51]. Some bacteria have evolved to lower the effects of Cu toxicity via finetuning of their exporters. These transporters and affiliated chaperone proteins feature high affinity and specificity for Cu(I/II). Some bacteria have Cu exporters like Cop A, that function as ATPases to transport Cu across the cytoplasm back to the periplasm [29,52]. In other types of bacteria, like Mycobacterium tuberculosis (which can appear Gram-positive or Gram-negative), this ATPase is known as CtpV [53]. In S. pneumoniae, a Cu chaperone called CupA guides Cu through the inner membrane from the cytoplasm to the periplasm. The bacteria Escherichia coli (Gram-negative bacteria), possess a Cu efflux system known as the CusCBA complex (also refered to as CusFCBA/CusCFBA) (Figure 4). CusA is a transmembrane efflux pump, CusB is a periplasmic membrane fusion protein, and CusC is an outer membrane; this union produces the CusCBA complex, which allows the Cu(I) to exit out of the periplasm to the extracellular space [29]. Cu(I) exported into the periplasm of M. tuberculosis by CtpV is oxidized by the MmcO, a type of multicopper oxidase that protects bacteria from Cu stress. This MmcO is required for mycobacterial Cu resistance [29]. Cu resistance is an essential property for the virulence, or infectivity, of M. tuberculosis [54].
Cu is rarely observed being stored in bacteria compared to eukaryote cells and so Cu is typically thought to be in flux throughout bacteria. A recent field of interest in bacterial Cu regulation is the detection of the metal storage proteins metallothioneins [55]. Metallothionein are cysteine-rich proteins that bind and store Zn and Cu. Bacteria that express this type of protein exhibit the advantage of resisting Cu toxicity [55,56].

5. Copper utility against bacterial infections

The immune system comprises two parts, the acquired immune system, and the innate immune system. The acquired immune system is usually associated with the development of antibodies, whereas the innate immune system is related to a general 1st line of defense against pathogens [57]. One of the roles of the innate immune system against bacterial infection is achieving nutritional immunity, which is commonly defined as the sequestration or use of trace essential metals by the host as a defense against bacteria [58]. This term coined by Hood and Skaar in 2012, highlights the host immune systems’ response of withholding Fe and Zn from pathogens in an attempt to starve bacteria [59]. The host will also release Cu into the bloodstream to attack bacteria via Cu stress [60]. Bacteria however, can overcome the immune system’s response by rapidly adapting the capability of (a) overexpressing metal affinity proteins and siderophores to overcome starvation [59,61,62], and (b) increasing expression of Cu exporters [60]. A key example of the overexpression of Cu transporters was observed by He et al., where CusS-CusR levels increase in Vibrio alginolyticus during Cu stress, which then leads to an increase in the expression of the CusCFBA complex [60]. This limits the host response against bacteria, increasing the need for antibiotic treatment options.
With antibiotic resistant bacteria being an increasing threat to global health, Cu has been investigated as a solution especially due to its antibacterial property within the body. Cu(II) supplementation in salt form against bacteria has been extensively studied. Benhalima et al. [63] identified the antibacterial effect of Cu(II) sulfate (CuSO4) against multi-drug resistant nosocomial pathogens isolated from clinical samples. Febré et al. [64] observed the antibacterial effect of Cu(II) nitrate and Cu(II) acetate against microorganisms obtained from chronic ulcers. While Cu(II) salts display broad spectrum activity, they lack specificity, and require relatively high dosages in order to have a toxic effect against pathogens, for instance, ~1,100 µg/ml of Cu(II) nitrate. This is why there has been an increased interest to develop Cu-based antibacterial strategies that can target bacterial pathways and Cu-containing antibiotics.

5.1. Inhibition of Cu efflux pathways

Bacteria can develop Cu resistance; therefore, it’s crucial to target their capability of removing Cu from itself, in other words, by inhibiting the Cu efflux pathways. Cells have four main Cu(I) transport mechanisms: Cytoplasmic CueR-metal sensor (Cu(I) binds and initiates CueO transcription for CopA), CopA transfer (ATPase active transfer of Cu(I)), CusF metallochaperone (Cu(I) transport from the periplasm to extracellular domain), and CueO (oxidation of Cu(I) to Cu(II)) [65]. Meir et al. took advantage of CusCFBA and CueR systems, characteristic in bacterial Gram-negative Cu(I) efflux, and designed a method that aimed at inhibiting this system. They targeted the CusB protein, which is a channel opener; in other words, it regulates the Cu entering the cell. Meir et al. expressed the CusB protein in E. coli cells and identified peptides (via computational docking studies) that could inhibit CusB. They identified peptide 5 (Pep5), which exhibited the most significant effect on cell growth and viability, but they failed to demonstrate any interaction with CusB in the in vitro binding studies (Figure 5). However, they found that the Cu efflux system could be disrupted since Pep5 was much more active in the presence of 5 μM Cu(II) in the growth media at all tested concentrations (Figure 5). This showed the potential to develop a selective treatment against bacteria. However, this research was limited to identifying the potential peptides that disrupt the Cu efflux pathways present in Gram-negative bacteria, not the feasibility against Gram-positive or superbugs.
Wolschendorf et al. [54] discovered a Cu resistance mechanism in M. tuberculosis that decreases intracellular Cu concentrations by using the outer membrane channel protein Rv1698, another possible Cu efflux mechanism. They mutated M. tuberculosis so that it lacked gene expression of Rv1698 (ΔRv1698 mutant). The mutated bacteria presented impaired growth at higher Cu concentrations. A guinea pig model was used to assess Cu resistance. The guinea pigs were infected with wild type (WT) M. tuberculosis and with the ΔRv1698 mutant. After thirty days, the guinea pig with the ΔRv1698 mutant had reduced bacterial burden compared to the WT [54].

5.2. Targeting bacterial Cu storage may restore Cu sensitivity in bacteria

Two different studies have explored the possibility of targeting Cu storage in bacteria. One of the currently identified Cu storage proteins is Csp3 (Figure 6) [66,67,68]. Csp3 is a protein located in bacterial cytosol and has been identified in both Gram-positive bacteria (Bacillus subtilis) and Gram-negative bacteria (Methylosinus trichosporium OB3b) [67,68]. Lee et al. analyzed the expression of Bacillus subtilis Csp3 protein in E. coli bacteria to determine the effect of Csp3 on E. coli bacterial growth. First, they analyzed E. coli bacterial growth in their native state (WT), and mutant form without Cu transporter Cop A (ΔCopA) by adding dosages of Cu(II) nitrate up to 3.4 mM. After that, they performed a light scattering optical density (OD) analysis at 600 nm. This technique shows how bacterial growth responds to light; the higher the OD value, the more bacterial proliferation [69]. When the maximum proliferation signal decreases, the Cu resistance is lost. Using this analogy, Lee et al. [67] found that WT E. coli showed a Cu resistance of 2.0 mM and ΔCopA E. coli had Cu resistance up to 0.5mM. By overexpressing Csp3 in WT and ΔCopA E. coli, the Cu resistance increased to 2.8mM and 1.5mM, respectively.
Vita et al. characterized the crystal structures of Csp3 proteins from a Gram-negative bacteria Methylosinus trichosporium OB3b (MtCsp3) and a Gram-positive bacteria Bacillus subtilis (BsCsp3) [68]. Up to 80 Cu(I) ions are bound by Csp3, especially BsCsp3, which is greater than MtCsp3, which binds around 30 Cu(I) ions. BsCsp3 helps bacteria to tolerate Cu in the cytosol, even if they lack an intermembranal space (periplasm). The bacteria produce a Csp3 with more Cu binding sites to diminish the amount of free Cu(I) ions in the cytosol.

5.3. Cu toxicity by displacing iron and iron-sulfur clusters

Cuproptosis, in contrast to cuproplasia, defines Cu-mediated cell death. This terms was by Tsvetkov et al. [70]. While this term applies to eukaryotic cells and is an evolutionarily conserved pathway in mitochondrial respiration, it highlights a proposed mechanism for toxicity, Cu mismetallation. Mismetallation occurs when a metal ion coordinates to protein targets it should not, and as a result, interferes with regular protein interactions. This process can happen when Cu directly displaces metals from other sites, such as iron in iron-sulfur clusters, or by interacting with amino acids with chemical affinity to Cu as histidine, methionine, and cysteine.
Another possible strategy to increase Cu sensitivity in bacteria is by limiting Fe uptake in the cell. Steunou et al.[71] inactivated Fe-import in Cu(II) efflux mutants in Rubrivivax gelatinosus. Cu(II) and Fe(II) have comparable biorelevant coordination chemistry (Table 1). Steunou et al. observed that Cu displaces Fe in cells but can also degrade iron-sulfur clusters (Fe-S). Fe-S clusters are cofactors in several enzymes and contain more than one type of Fe in the structure. Damaging these clusters can release Fe(II) in the cells and trigger Fe-based Fenton chemistry [71] and induce oxidative stress. They found that Cu resistance is mainly due to genes that encode the formation of Fe-binding proteins like fpbA and Ftr. One of the highlights of their results using different Rubrivivax gelatinosus mutant strains was that wild type showed a resistance toward Cu(II) sulfate up 400 µM. When they mutated the bacteria by eliminating the Cu exporter CopA, the resistance of the bacteria was reduced by 200 µM. When they also eliminated the formation of Fe-binding protein fpbA, the Cu resistance was diminished to 1.6 µM and complete inhibition at a Cu(II) concentration of 50 µM, suggesting that Fe uptake is very important for Cu(I/II) tolerance. This strategy reinforces the importance of Fe for Cu homeostasis and takes advantage of a similar immune response against bacteria: starving bacteria of the essential metal.
By 2007 Macomber et al. had already noted that while Fe-driven Fenton reactions led to DNA damage and mutagenesis in E. coli, Cu overload in sensitive strains resulted in growth defects but no DNA damage [72]. This steered Macomber and Imlay to test the hypothesis that Cu toxicity involves uncontrolled ROS generation and, more importantly, to determine primary targets for Cu toxicity [72]. Their study found that branched amino acids and their biosynthesis were disrupted due to the inhibition of Fe-S cluster containing dehydratases under Cu toxicity. These results were also seen under anaerobic conditions, implying that this specific toxicity mechanism does not involve ROS, hence occurring through non-oxidative measures. This pivotal study inspired Fung et al. to study how E. coli protected their Fe-S clusters from Cu-induced degradation [73]. They highlighted that Cu(I) can detrimentally interfere with Fe-S assembly biosynthesis and that induction of the CusCFBA membrane efflux complex increases Cu(I) tolerance in E. coli. Additionally, they determined that methionine and cysteine can chelate Cu(I) ions, diminishing free intracellular Cu. Thus, under amino acid limitation E. coli cells have higher levels of intracellular free Cu ions, especially when coupled with anaerobic conditions where one underlying cause could come from the periplasmic Cu reductase CueO being inhibited.

6. Exploring Cu(II) chelation for potential drug designs

In the following sections we will discuss select highlights of the current work on Cu(II) strategies that utilize Cu(II) chelation in order to improve Cu(II) toxicity against bacteria. As previously discussed in Section 5, Cu(II) salts on their own have two major drawbacks, which are that they lack selectivity for bacteria and they require high dosages to exhibit an effec Before continuing, it is very important to address a common concept discussed by several researchers, which is the minimum inhibitory concentration (MIC). MIC is known as the lowest concentration at which full inhibition of the bacteria is detected, defined as a 80% or greater bacterial growth inhibition [74].

6.1. Cu(II) coordination complexes

Several families of Cu(II) complexes display promising antibiotic activity and could be excellent alternatives to combat the rising crisis of superbugs. Cu(II) complexes of Schiff bases, in particular, have demonstrated potent antimicrobial and antifungal properties [75]. Schiff bases are organic compounds with an imine or azomethine group (R-N=C(R1)R2) with numerous applications in the synthetic industry [76]. The antimicrobial activities of the Cu(II) complexes of Schiff bases can be improved with the combination of well-established antibiotics. In their study, Chung et al. tested Cu(II) complexes of Schiff base ligands, SBD2 and SBD4 (Figure 7A,B, respectively) individually and in combination with the antibiotics oxacillin (a penicillin derivative [77]) and vancomycin (a glycopeptidic antibiotic [78]) towards microbes and biofilm [79]. These types of antibiotics target the peptidoglycan bacteria wall synthesis [80]. To establish the interaction of every combination that showed inhibition of bacterial growth a checkerboard method (which is used to determine the impact of the combination of antibiotics in comparison with their individual activities) was used. The fractional inhibition concentration (FIC), which is used to test the interactions between two or more drugs that are intended to be used in combination, was calculated [81]. Equation (1) can be used to calculate the FIC value, where MICA and MICB represent the minimal inhibitory concentration of compound A and B, CA and CB correspond to the concentration of the drugs [79]. As a standard measurement for FIC, values ranging from 0.0 ≤ 0.50 are considered a synergistic effect, from 0.50 ≤ 4.0 additive interaction and values above 4.00 are considered to have an antagonist effect.
FIC= FICA + FICB = (CA/MICA) + (CB/MICB) (1)
Chung et al. observed that the Cu(II) compounds SBD2 and SBD4 exhibited bacteriostatic effects against MRSA, with an MIC of 8 µg/mL and 32 µg/mL, respectively [79]. The combinations of SBD2 (0.5 to 8 µg/mL) and oxacillin (1 to 16 µg/mL) exhibit additive or synergistic bacteriostatic effect. The combinations of SBD4 (2 to 32 µg/mL) and oxacillin (1 to 16 µg/mL) all display addictive effects except that some combinations with SBD4 at the highest concentration are additive and bactericidal. Similarly, the combinations of SBD2 (0.5 to 8 µg/mL) and vancomycin (0.25 to 4 µg/mL) exhibit additive or synergistic bacteriostatic effect. The combinations of SBD4 (2 to 32 µg/mL) and vancomycin (0.25 to 4 µg/mL) typically exhibit additive or synergistic bacteriostatic effect except when both are combined at the highest concentrations, the effect is additive and bactericidal. Additionally, Chung et al. measured the therapeutic window of the synthesized compounds by performing lung cell viability assays against the MRC5 noncancer lung cells [79]. The relatively high selectivity index (SI) values of SBD2 (SI=5.63) and SBD4 (SI=1.63) indicate that the compounds are able to inhibit MRSA growth at concentrations below their cytotoxic concentrations in noncancer lung cells.
The 3-hydroxy-4-pyridinone chelators are useful in developing Cu(II) complexes against multidrug-resistant bacteria. These chelators are characterized by their low toxicity and high and specific metal chelating ability [82]. Based on these properties, Leite et al explored Cu(II) complexes of three substituted 3-hydroxy-4-pyridinones with naphthyl moieties [83]. The reason to use naphthyl substituents was to increase the lipophilicity of the ligands and the corresponding Cu(II) complexes and the biological activity and fluorescence properties of the Cu(II) complexes. The Gram-positive bacteria strains, S. aureus and Enterococcus faecalis (E. faecalis), and the Gram-negative bacteria strains, E. coli and P. aeruginosa, were used in this study. The complex Cu(naph1pp)2 (Figure 7C) demonstrated the strongest activity against Gram-positive strains, with MIC of 0.11 mM and 0.21 mM against S. aureus and E. faecalis, respectively. Due to these results, Leite et al. tested Cu(naph1pp)2 against drug resistant variants of these Gram-positive bacteria, MRSA (MIC = 0.11 mM) and vancomycin-resistant E. faecalis (MIC = 0.21 mM), and the results showed a similar antibacterial activity. Nevertheless, Cu(naph1pp)2 and other synthesized complexes in this study did not exhibit much activity toward Gram-negative bacteria. It was shown that a concentration of 7 µM of Cu(naph1pp)2 and 97 µM of ciprofloxacin (a second-generation broad-spectrum fluoroquinolone efficient for Gram-negative and Gram-positive) presented a synergistic effect for E. faecalis [83]. For S. aureus, it was observed an FIC of 0.63, which corresponds to an additive effect when combined with ciprofloxacin.
Sulfonamide ligands are also used as antimicrobials. They have the versatility that they can act as monodentate or bidentate ligands, or by bridging two metal ions [16]. Sulfonamides have been used for treating Gram-negative and Gram-positive bacterial infections. Nakahata et al. evaluated the antimicrobial activity of sulfonamide-containing Cu(II) complexes [84].One such compound, complex 1 (Figure 7D), exhibited a higher antimicrobial activity against S. aureus (MIC of 182 µM) than the Cu(II) salt Cu(II) nitrate (MIC of 20.7 mM). The ligand alone demonstrated no effect at all, which means that the antibacterial activity is copper-dependent. This improvement in antimicrobial activity is attributed to the fact that these types of complexes are (artificial) metallonucleases and are able to generate oxidative damage caused by ROS. The term for (artificial) metallonucleases was previously coined by the authors, as metal complexes with properties to potentially fine-tune the desired nuclease activity [85].
The combination of Schiff bases and other Cu(II) coordinating moieties, introduces a promising outlook for antibacterial drug development, especially when such combinations may have the potential to act synergistically against bacteria with clinically used antibiotics.

6.2. Cu dependent inhibitors as potential synergistic treatment with traditional antibiotics

An alternative approach to the discovery of antibiotics able to restore the sensitivity of antibiotic resistance are Cu dependent inhibitors (CDI) [86]. This term was coined by a team of researchers of The University of Alabama at Birmingham, and it consists of a series of antibiotics that utilize Cu(II) to inhibit bacteria such S. aureus, Mycoplasma spp and M. tuberculosis. Dalecki et al. provided more detailed examples of CDI antibacterial activity like: disulfiram, 8-hydroxyquinoline, thiosemicarbazones, phenanthroline, and pyrityhione [87]. All of these CDIs are Cu(II) chelators and presumably coordinate Cu(II) within bacteria, forming redox active complexes that induce toxicity through oxidative stress [88].
Crawford et al. studied the second-generation CDI called APT-6K (Figure 8), which in the presence of 50 µM Cu(II) exhibits an MIC of 150 nM against S. aureus (strain Newman) [88]. Additionally, ATP-6K was tested against the superbug MRSA by using four strains, two ATP-6K sensitive MRSA strains and two resistant strains. In order to determine which strain was resistant, they performed a toxicity assay on human monocytic cells THP-1, and they concluded that any concentration over 5 µM could be potentially harmful, therefore any ATP-6K MIC concentration above 5 µM was considered resistant. The key finding was that ATP-6K from 300 to 600 nM, in the presence of 50 µM Cu(II), re-sensitized MRSA strains to ampicillin at physiologically relevant concentrations (4-8 ug/mL) [88]. This opens up a new research field for CDI as a potential synergistic treatment against superbugs.

6.3. Peptide based Cu(II) chelators

Other Cu(II) antibacterial complexes could be formed using motifs generated by protein structures. An example is the research work by Angeles-Boza et al. with the ATCUN binding motif [89,90,91]. This motif is a structural feature present in proteins that bind Cu(II) and Ni(II) ions through a free NH2-terminus, a histidine, and two other nitrogen residues (Figure 1) [90]. The motif is commonly found in antimicrobial peptides (AMPs) such as the naturally occurring host-defense peptides (HDPs). AMPs have membrane solubilizing, cell penetrating, and DNA/RNA binding abilities [89]. Known HDPs from the piscidin family are Piscidin-1 (p1) and Piscidin-3 (p3), [91] discovered in the mast cells of hybrid striped sea bass. They have a highly similar amino acid sequence and α-helical structure when bound to model membranes [92], and are active against drug-resistant bacteria [93].
Angeles-Boza et al. [91] studied the antibacterial properties of the Cu(II)-bound p1 and p3 compounds. Structural characterization indicated that in vitro p1 and p3 bind to Cu(II) in a 1:1 fashion using their ATCUN motif, and that no other potential groups in the peptide backbone compete for the Cu(II) ions. The peptides were found to target bacterial DNA rather than the membranes. The p3-Cu(II) complex cleaved DNA faster than p1-Cu(II) as determined by analyzing their nuclease activity in a time-dependent cleavage of plasmid pUC19. A strong correlation between DNA damage and antimicrobial efficacy (p3-Cu(II) exhibited a lower MIC against E. coli than p1-Cu(II)) was observed, with p3-Cu(II) inducing a large magnitude of DNA cleavage by almost three times more than p1-Cu(II).
In another study, Angeles-Boza et al. [89] used two ATCUN motifs selected from a library of ATCUN peptides, LKH (Leu-Lys-His) and RTH (Arg-Thr-His), for their rapid production of ROS when complexed to Cu(II). To test if these ATCUNs could increase the activity of AMPs, they incorporated the sequences in Anoplin (GLLKRIKTLL-NH2), a peptide purified form the venom of a wasp, and which displays lytic activity [89]. These ATCUN-Anoplin complexes were more active than Anoplin alone against the Gram-positive bacteria Bacillus subtilis (B. subtilis), and the Gram-negative bacteria E. coli. The MIC values of Anoplin were 16 μM for B. subtilis and 32 μM for E. coli. For LKH-Anoplin and RTH-Anoplin, results were 8 μM and 4 μM respectively for the B. subtilis, and 8 μM for both complexes in E. coli. Cu(II) coordination induced ROS formation was rationalized to play an important role in the activity of the complexes [89].

6.4. Antibacterial Cu(II) compound isolated from bacteria

In another study, De Oliveira et al. [94] extracted, purified and evaluated the antimicrobial activity of secondary metabolites of P. aeruginosa LV strain produced in vitro against X. citri subsp. citri (strain 306. Xcc 306). The purpose of this research was to determine the potential of the secondary metabolites in foliar application to control citrus canker under greenhouse conditions. Additionally, the researchers wanted to identify the amount of energy available for the fungus to infect the host at the site of infection [95] inside the citrus canker lesions by electron microscopy. The results showed that the semi-purified secondary metabolites had strong antibiotic activity without phytotoxicity to orange plants, and that activity persisted for many weeks on the phylloplane and inside the leaf, reducing the inoculum potential outside and inside the citrus canker lesions. It is an example of how biomolecules produced by Pseudomonas species can be utilized to combat other strains of bacteria. However, they were not able to properly characterize the antibacterial extract (F3d) other than identifying that it was a compound that contained Cu ions. A review article prepared by Afonso et al. focused on this matter and they found a correlation with Fluopsin C, an organic Cu(II)-containing metabolite made by some Pseudomonas and Streptomyces bacteria [96] (Figure 9). Their review highlights some additional examples of Fluopsin C and different case studies of its antibacterial activity, and the different bacterial strains that can generate this Cu(II)-metabolite (different Pseusomonas strains, and Streptomyces 4601). The review covers a timeline from the first isolation of the compound in 1970, to research that analyze the different effects of the compound on bacteria like Bacillus subtilis and MRSA, and detailed information about the biosynthetic pathway of Fluopsin C.

6.5. Cu(II) prochelators as potential multimodal antibiotic drugs

Prochelation is defined as the method through which a compound with little to no affinity to a metal ion undergoes a transformation, at a specific condition, that activates the chelation properties of the prochelator. Generally, prochelators do not interact with metal ions unless they undergo a cleavage process of a protecting group that avoids such chelation properties, like elevated levels of oxidative stress [97] or an enzymatic process [98].
Cu(II) prochelators, have been applied as antibacterial agents for treatment against bacteria developing resistance against some antibiotics, for example penicillins, cephalosporins and carbapenems. In specific, some bacterial strains have gained resistance through β-lactamases, which cleave the antibiotics in a way that decreases their cytotoxicity. Due to this, Franz et al. decided to work on the development of a prochelator, called PcephPT, that was capable of taking advantage of β-lactamases to induce pathogenic cytotoxicity [99]. The prochelator phenylacetamido-cephem-pyrithione (PcephPT) gets cleaved by β-lactamase, producing pyrithione (PT), which had already been shown to be cytotoxic in the presence of Cu(II) (Scheme 3). In the case of the bacteria E. coli, strains resistant to cephalosporins (UTI89 CTX-M-1 as an example), PcephPT and PT had an MIC of 17.5 and 35 µM respectively with and without the presence of CuCl2. Franz et al. demonstrated that the prochelation approach does not affect host cells. PcephPT was virtually nontoxic to human liver epithelial cells even at concentrations of 500 μM. It was slightly less cytotoxic compared to PT. In order for Cu(II) chelators and prochelators to be successfully applied for therapeutic purposes, their ability to selectively bind Cu(II) is one of the most important criteria for its therapeutic applications, in addition to avoiding Cu(II) binding and ROS production in human host cells.

7. Copper nanoparticles against pathogens

Over the past few years, much attention has been directed at the antimicrobial abilities of Cu nanoparticles (NPs) and on different preparation methods to enhance their antimicrobial properties. Generally, Cu nanoparticles are of spherical shape and with diameter sizes varying in the nanometer range. The most common nanoparticles available are copper (Cu-NPs), copper(I) oxide (Cu2O-NP), copper(II) oxide (CuO-NPs), and copper(II) sulfide (CuS-NPs). Cu NPs can be quite effective against Gram-positive and Gram-negative bacteria [100,101], although the effectiveness has been reported to be dependent on the size of the nanoparticles [102], and their concentration [102]. One of the most generally accepted mechanisms of how Cu NPs act against bacteria, is similar to other cytotoxic Cu species, where Cu is oxidized (or reduced, depending on the metal oxidation state) to Cu(I) and via a Fenton-like reaction, they generate extensive levels of ROS (Figure 10). Although the antimicrobial effects of Cu NPs had been reported by many, according to Bastos et al. [103], whether the dispersed or agglomerated forms of Cu NPs were responsible for the antimicrobial effects was not fully understood. Due to this, Bastos et al. decided to work on elucidate the mechanism of action because of the importance of Cu NP composition on its antimicrobial properties. Using an E. coli bacterial strain, they reported that it is unlikely that the bacteria would acquire and internalize ultra-small NPs because of the rigidity of the bacterial cell wall and its incapability of supporting endocytic mechanisms. They showed the dissolution of Cu-based particles was responsible for the antimicrobial properties, but not its particulate nature per se. Similarly, Chatterjee et al. [104] also contend that continuous release of copper ions into the media is what helps maintain the antimicrobial activity of Cu NPs against E. coli.

7.1. Cu NP surface modification

Modification of Cu NP surfaces has been of interest in order to prevent agglomeration of nanoparticles and/or improving their capacity for drug delivery for in-vitro and in-vivo trials. Capping is a strategy commonly described as the adhesion of a molecule to NPs, and in the case of Cu NPs, this extends to more biologically compatible molecules.
Valodkar et al. [100] observed that uncapped Cu NPs have strong reacting free electrons on their surface that can contribute to NP aggregation and to their high sensitivity toward environmental factors, such as pH, temperature, electrolytes, and solvents [100]. Because of this, different preparation and coating methods have been explored to not only enhance antimicrobial activity of Cu NPs, but to protect the nanoparticles from environmental factors that could affect their effectiveness. For example, Valodkar, et al. worked on the synthesis of starch capped water-soluble Cu nanoparticles (CuS-NPs) for the purpose of increasing Cu NP biocompatibility inside a living organism. For their study, they used S. aureus (Gram-positive), E. coli (Gram-negative) and Salmonella typhi (Gram-negative) bacterial strains. The MIC and the minimum bactericidal concentration (MBC) values obtained in their study showed that CuS-NPs were more effective against Gram-negative than Gram-positive bacteria; MICGram+ (µg/mL) = 3.2 ± 0.41, MICGram- (µg/mL) = 1.6 ± 0.22, MBCGram+ (µg/mL) = 4.3 ± 0.44, and MBCGram- (µg/mL) = 2.1 ± 0.27. They have attributed this result to the higher interaction between the Cu NPs and the negative charge on the cell surface of Gram-negative bacteria.
As previously mentioned, the preparation method can affect the behavior of the nanoparticles against certain bacteria. While the starch-capped preparation of Cu NPs caused the nanoparticles to be effective against Gram-negative E. coli bacteria, Mehdizadeh et al. [102] worked on another preparation method that proved to be effective against Gram-positive bacteria. They worked on fixing the Cu NPs on a cellulosic walnut shell (CuNPs-WS) material and investigated its antimicrobial effects. The authors used various sizes of CuNPs-WS, ranging from 15-22 nm (CuNPs-WS1), 60-80 nm (CuNPs-WS2) and an aggregated and non-supported Cu NP size (CuNPs-WS3). In addition, they used S. aureus, E. coli and Listeria monocytogenes (Gram-positive) bacterial strains. They found that the nanoparticles showed a higher antimicrobial effect against the L. monocytogenes bacteria using CuNPs-WS3 by measuring the inhibition diameter (nm). In addition, the MIC and MBC values supported the previously mentioned result, obtaining a MIC value of 62.5 ppm and an MBC value of 125 ppm for L. monocytogenes using CuNPs-WS3.
Approaches in therapy towards bacterial infection in plants have been addressed in works like that of Datta et al. [105]. The researchers synthesized Cu NPs capped with ascorbic acid to combat Xanthomonas oryzae pvoryzae which causes bacterial leaf blight in rice. These ascorbic acid capped Cu nanoparticles showed decrease in lesions in seedlings comparable to the antibiotic streptomycin sulfate and better activity than the commercial pesticide Bordeaux mixture. The antibacterial activity was due to the release of Cu ions by the ascorbic acid capped Cu nanoparticles upon foliar spray. Although ROS production was confirmed, the plant could withstand the oxidative stress due to a higher production of antioxidants and an increased shoot length and lipid, amino acid, and carbohydrate contents were recorded.

7.2. Synergizing Cu NPs with antibiotics

Cu NPs have exhibited synergism with antibiotics, enhancing their therapeutic potential against bacteria. Naqvi et al. [106] achieved the synthesis of maltol capped Cu NPs with a size range of 50-60 nm and a height of 11 nm. This study, published in 2021, is considered one of the first-ever reported synthesis of maltol capped Cu NPs. Their purpose was to evaluate antibacterial and synergistic activity of the maltol capped Cu NPs in combination with ciprofloxacin HCl and streptomycin sulfate against clinically isolated pathogenic bacterial strains by the disc diffusion method. The bacteria strains used were E. coli, K. pneumoniae, Proteus mirabilis (P. mirabilis), Klebiscella oxytoca and P. aeruginosa. The stability of the maltol capped Cu NPs was tested and was observed to be stable for over 1 week at ambient conditions. The maltol capped Cu NPs alone showed an estimated zone of inhibition (ZIH) per tested strain. The most enhanced effect was observed in the combination of the maltol capped Cu NPs with ciprofloxacin HCl, where there was a ZIH enhancement of 38 mm compared to 2 mm from ciprofloxacin alone against E. coli and K. pneumoniae. However, streptomycin sulfate adsorbed to the maltol capped NP, showed the highest efficacy with 26 mm ZIH in comparison to streptomycin alone (2 mm ZIH) against P. mirabilis.
Selectivity in treatment is an important factor to be able to effectively eradicate an infection and prevent the appearance of resistant variants. Zou et al. made use of NIR light as an activator for the vancomycin modified Cu sulfide (CuS-Van) NPs [107] against vancomycin resistant enterococci (VRE). Vancomycin was used as reductant and capping agent for the Cu NPs. Near-infrarred (NIR) irradiation (980 nm, 0.8 W/cm2) for 10 min in combination with CuS-Van NPs showed a bactericidal activity at 64 ug/mL. The use of the NIR irradiation was essential for the bactericidal activity because CuS NPs possess very high NIR absorption, making it an attractive approach to treat VRE. Additionally, live/dead fluorescent staining of vancomycin resistant enterococci and in vivo studies in mice showed this therapy combination aided in the mice VRE wound healing process.
Another study explored the effects of Cu oxide NPs and antibiotics on the partial nitrification process of anaerobic bacteria [108]. For this specific case study, aerobic ammonia-oxidizing bacteria, usually found in wastewater, transform ammonia to nitrite for the bacteria survival. This nitrification process serves as a general indicator of the bacteria overall survival. Zhang et al., used sulfamethoxazole in this study as it is one of the most widely used antibiotics [108]. Four laboratory-scale sequencing batch reactors were utilized along with synthetic wastewater to test the variables of short term and long-term effects, the structure of the microbial community, the expression of antibiotic resistance genes, and the expression of metal resistance genes and the self-recovery of the reactors. The main results of this work showed that at short-term exposure to the combination of copper oxide NPs and sulfamethoxazole, the aerobic ammonia-oxidizing bacteria bioactivity in partial nitrification decreased by half. Meanwhile, long-term exposure to the combination decreased ammonia removal efficiency to 38.2% (versus 62.9% in control). Exposure to copper oxide NPs alone improved the ammonia removal efficiency to 68.9% but exposure to sulfamethoxazole alone decreased it to 50.1%. The reactors showed bad self-recovery performance after the addition of the Cu oxide NPs and/or sulfamethoxazole was stopped. Simultaneous addition of Cu oxide NPs and sulfamethoxazole formed a nanocomposite, which decreased aerobic ammonia-oxidizing bacteria abundance from 38.01% to 28.3% and induced the amplification of preponderant antibiotic resistance genes (sul3 and sulA). This work is important because it considers the inevitable disposal of antibiotics and Cu NPs. As these Cu NPs and antibiotic materials become more frequently used to treat infections, their presence in our water sources is likely to increase. This study provides data that may serve as a step to remedy their potential to pollute our water.

8. Conclusions

The World Health Organization (WHO) lists AMR among the top 10 global public health threats, and without effective new antimicrobials, treating infections would be at increased risk [109]. Guided by our own body’s innate ability to siege a nutritional immunity attack against pathogenic bacteria by depriving the bioavailability of Fe and dispensing toxic levels of Cu, this study assessed the feasibility of Cu-based approaches to combat the global superbug health crisis. In the hospital setting, Cu-containing materials in surfaces as infection preventative measures are yielding some exciting preliminary results for both short-term (low bacterial growth and good compatibility with cleaning agents) and long-term (durability of the surfaces) applications. There is also some good results in Cu-containing prosthetics. An encouraging new direction is the incorporation of Cu in textiles [110] as one can foresee the use of hospital gowns for patients and health providers embedded with Cu NPs or even everyday wear and cleaning cloths with these materials. In the academic community, significant strides are being made to develop Cu-based antibiotic strategies. Several researchers have expanded the understanding of Cu resistance mechanisms and shed light on the development of inhibitors to target resistance pathways. Others exploit Cu(II) coordination chemistry to develop new types of antibiotic drugs. One type of potential drugs is chelators and prochelators to disrupt Cu regulation within bacteria. Other types of potential drugs are antibiotic small molecule Cu(II) compounds either synthesized or extracted from certain bacteria strains and antibiotic Cu NPs. These Cu-based therapies and drug candidates in themselves would greatly expand the toolset of treatment regimens against pathogenic bacteria. They could even further expand the toolset as evidence points to their capacity to synergize with (or at least be additive with) the classical antibacterial drugs and resensitizing bacteria that have grown resistant to them. In this capacity, Cu-based strategies hold terrific promise for robust long-term combinatorial therapies.

Author Contributions

Conceptualization, software, formal analysis, investigation, writing—original draft preparation, writing—review, editing, visualization, A.M.O.-R., Y.M.-C., N.M.-B., A.M.G.-C., A.R.-R., C. C.-S., C.G.-D., J.L., J.E., J.J.R.-O, J.D.-R., S.C.D.-V., Z.F.-D. and A.D.T.; supervision, project administration, funding acquisition, A.M.O.-R., N.M.-B., Y.M.-C., A.D.T. All authors have read and agreed to the published version of the manuscript.

Funding

A.D.T. was supported by the NIH 1R21CA240997-01A1 grant, MSEIP P120A210035 (which also funded A.M.O.-R., Y.M.-C., and A.R.-R.), and the UPR RP FIPI. A.M.O.-R., N.M.-B., and J.J.R.-O. were supported by the NIH RISE 5R25GM061151-21 grant. N.M.-B. also received funding from NSF BIOXFEL 1231306.

Acknowledgments

We would like to acknowledge Dr. Katherine J. Franz from Duke University for her contribution by providing a lecture on her antimicrobial research, which served as an introduction to this theme.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Sun, D.; Jeannot, K.; Xiao, Y.; Knapp, C.W. Editorial: Horizontal Gene Transfer Mediated Bacterial Antibiotic Resistance. Front. Microbiol. 2019, 10, 1933. [Google Scholar] [CrossRef]
  2. Murray, C.; Ikuta, K.; Sharara, F.; Swetschinski, L.; Robles Aguilar, G.; Gray, A.; Han, C.; Bisignano, C.; Rao, P.; Wool, E. , et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 2022, 399, 629–655. [Google Scholar] [CrossRef] [PubMed]
  3. COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022. Centers for Disease, C., Prevention, National Center for, E., Zoonotic Infectious, D., Division of Healthcare Quality, P., Eds. Hyattsville, MD, 2022. [CrossRef]
  4. Millanao, A.R.; Mora, A.Y.; Villagra, N.A.; Bucarey, S.A.; Hidalgo, A.A. Biological Effects of Quinolones: A Family of Broad-Spectrum Antimicrobial Agents. Molecules 2021, 26. [Google Scholar] [CrossRef]
  5. Sarkar, P.; Yarlagadda, V.; Ghosh, C.; Haldar, J. A review on cell wall synthesis inhibitors with an emphasis on glycopeptide antibiotics. Med. Chem. Comm. 2017, 8, 516–533. [Google Scholar] [CrossRef] [PubMed]
  6. Chopra, I.; Roberts, M. Tetracycline antibiotics: mode of action, applications, molecular biology, and epidemiology of bacterial resistance. Microbiol. Mol. Biol. Rev. 2001, 65, 232–260. [Google Scholar] [CrossRef]
  7. Sköld, O. Sulfonamide resistance: mechanisms and trends. Drug. Resist. Updat. 2000, 3, 155–160. [Google Scholar] [CrossRef]
  8. Frei, A.; Zuegg, J.; Elliott, A.G.; Baker, M.; Braese, S.; Brown, C.; Chen, F.; C, G.D.; Dujardin, G.; Jung, N. , et al. Metal complexes as a promising source for new antibiotics. Chem. Sci. 2020, 11, 2627–2639. [Google Scholar] [CrossRef]
  9. Arendsen, L.P.; Thakar, R.; Sultan, A.H. The Use of Copper as an Antimicrobial Agent in Health Care, Including Obstetrics and Gynecology. Clin. Microbiol. Rev. 2019, 32. [Google Scholar] [CrossRef] [PubMed]
  10. Arendsen, L.P.; Thakar, R.; Bassett, P.; Sultan, A.H. A double blind randomized controlled trial using copper impregnated maternity sanitary towels to reduce perineal wound infection. Midwifery 2021, 92, 102858. [Google Scholar] [CrossRef]
  11. Hunsaker, E.W.; Franz, K.J. Emerging Opportunities To Manipulate Metal Trafficking for Therapeutic Benefit. Inorg. Chem. 2019, 58, 13528–13545. [Google Scholar] [CrossRef]
  12. Institute of Medicine Standing Committee on the Scientific Evaluation of Dietary Reference, I. ; its Panel on Folate, O.B.V.; Choline. The National Academies Collection: Reports funded by National Institutes of Health. In Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B(6), Folate, Vitamin B(12), Pantothenic Acid, Biotin, and Choline, National Academies Press (US)Copyright © 1998, National Academy of Sciences.: Washington (DC), 1998. [Google Scholar]
  13. Montero, D.A.; Arellano, C.; Pardo, M.; Vera, R.; Gálvez, R.; Cifuentes, M.; Berasain, M.A.; Gómez, M.; Ramírez, C.; Vidal, R.M. Antimicrobial properties of a novel copper-based composite coating with potential for use in healthcare facilities. Antimicrob. Resis. Infect. Control 2019, 8, 3. [Google Scholar] [CrossRef] [PubMed]
  14. Schmidt, M.G.; Von Dessauer, B.; Benavente, C.; Benadof, D.; Cifuentes, P.; Elgueta, A.; Duran, C.; Navarrete, M.S. Copper surfaces are associated with significantly lower concentrations of bacteria on selected surfaces within a pediatric intensive care unit. Am. J. Infect. Control 2016, 44, 203–209. [Google Scholar] [CrossRef]
  15. Butler, J.P. Effect of copper-impregnated composite bed linens and patient gowns on healthcare-associated infection rates in six hospitals. J. Hosp. Infect. 2018, 100, e130–e134. [Google Scholar] [CrossRef]
  16. Monegro, A.F.; Muppidi, V.; Regunath, H. Hospital Acquired Infections. In StatPearls, StatPearls Publishing: Treasure Island (FL), 2022.
  17. CDC. Could you or your loved one have C. diff? Availabe online: https://www.cdc.gov/cdiff/what-is.html (accessed on April 26, 2023).
  18. Schmidt, M.G.; Attaway, H.H.; Fairey, S.E.; Howard, J.; Mohr, D.; Craig, S.; Schaffner, D.W. Self-Disinfecting Copper Beds Sustain Terminal Cleaning and Disinfection Effects throughout Patient Care. Appl. Environ. Microbiol. 2019, 86, e01886–e01819. [Google Scholar] [CrossRef] [PubMed]
  19. Hinsa-Leasure, S.M.; Nartey, Q.; Vaverka, J.; Schmidt, M.G. Copper alloy surfaces sustain terminal cleaning levels in a rural hospital. Am. J. Infect. Control 2016, 44, e195–e203. [Google Scholar] [CrossRef]
  20. Parma, M.; Elli, E.; Terruzzi, E.; Fedele, M.; Doni, E.; Stasia, A.; Pogliani, E.M.; Pioltelli, P. Low dose of Deferasirox treatment in patients actually free of transfusion who present iron overload after bone marrow transplantation. Bone Marrow Transplantation 2015, 50, S421–S421. [Google Scholar]
  21. Green, J.J. US EPA, Pesticide product label, Antimicrobial copper alloys- Group III. US EPA, Office of Chemical Safety and Pollution Prevention: 2014.
  22. Bryce, E.A.; Velapatino, B.; Khorami, H.A.; Donnelly-Pierce, T.; Wong, T.; Dixon, R.; Asselin, E. In vitro evaluation of antimicrobial efficacy and durability of three copper surfaces used in healthcare. Biointerphases 2020, 15, 011005. [Google Scholar] [CrossRef] [PubMed]
  23. Wu, K.; Douglas, S.P.; Wu, G.; MacRobert, A.J.; Allan, E.; Knapp, C.E.; Parkin, I.P. A rugged, self-sterilizing antimicrobial copper coating on ultra-high molecular weight polyethylene: a preliminary study on the feasibility of an antimicrobial prosthetic joint material. J. Mater. Chem. B 2019, 7, 3310–3318. [Google Scholar] [CrossRef]
  24. Rowe, L.A.; Degtyareva, N.; Doetsch, P.W. DNA damage-induced reactive oxygen species (ROS) stress response in Saccharomyces cerevisiae. Free Radic. Biol. Med. 2008, 45, 1167–1177. [Google Scholar] [CrossRef]
  25. Robinett, N.G.; Peterson, R.L.; Culotta, V.C. Eukaryotic copper-only superoxide dismutases (SODs): A new class of SOD enzymes and SOD-like protein domains. J. Biol. Chem. 2018, 293, 4636–4643. [Google Scholar] [CrossRef] [PubMed]
  26. Harris, E.D. Copper as a Cofactor and Regulator of Copper,Zinc Superoxide Dismutase. J. Nutr. 1992, 122, 636–640. [Google Scholar] [CrossRef]
  27. Barber-Zucker, S.; Shaanan, B.; Zarivach, R. Transition metal binding selectivity in proteins and its correlation with the phylogenomic classification of the cation diffusion facilitator protein family. Sci. Rep. 2017, 7, 16381–16381. [Google Scholar] [CrossRef] [PubMed]
  28. Bertini, I.; Gray, H.B.; Stiefel, E.I.; Selverstone-Valentine, J. Biological Inorganic Chemistry Structure and Reactivity; University Science Books: Herndon, 2007; pp. 1–3. [Google Scholar]
  29. Fu, Y.; Chang, F.-M.J.; Giedroc, D.P. Copper Transport and Trafficking at the Host–Bacterial Pathogen Interface. Acc. Chem. Res. 2014, 47, 3605–3613. [Google Scholar] [CrossRef] [PubMed]
  30. Pham, A.N.; Xing, G.; Miller, C.J.; Waite, T.D. Fenton-like copper redox chemistry revisited: Hydrogen peroxide and superoxide mediation of copper-catalyzed oxidant production. J. Catal. 2013, 301, 54–64. [Google Scholar] [CrossRef]
  31. Dabrowiak, J.C. , 2nd ed.John Wiley & Sons, Ltd: Hoboken, NJ, 2017.
  32. Soldatović, T. Correlation between HSAB Principle and Substitution Reactions in Bioinorganic Reactions. In Photophysics, Photochemical and Substitution Reactions - Recent Advances, IntechOpen: 2021; [CrossRef]
  33. MacPherson, I.S.; Murphy, M.E. Type-2 copper-containing enzymes. Cell. Mol. Life Sci. 2007, 64, 2887–2899. [Google Scholar] [CrossRef] [PubMed]
  34. Aguilera, F.; McDougall, C.; Degnan, B.M. Origin, evolution and classification of type-3 copper proteins: lineage-specific gene expansions and losses across the Metazoa. BMC Evol. Biol. 2013, 13, 96. [Google Scholar] [CrossRef]
  35. Ge, E.J.; Bush, A.I.; Casini, A.; Cobine, P.A.; Cross, J.R.; DeNicola, G.M.; Dou, Q.P.; Franz, K.J.; Gohil, V.M.; Gupta, S. , et al. Connecting copper and cancer: from transition metal signalling to metalloplasia. Nat. Rev. Cancer 2022, 22, 102–113. [Google Scholar] [CrossRef] [PubMed]
  36. Rubino, J.T.; Franz, K.J. Coordination chemistry of copper proteins: how nature handles a toxic cargo for essential function. J Inorg. Biochem. 2012, 107, 129–143. [Google Scholar] [CrossRef]
  37. Hellman, N.E.; Gitlin, J.D. Ceruloplasmin Metabolism and Function. Annu. Rev. Nutr. 2002, 22, 439–458. [Google Scholar] [CrossRef] [PubMed]
  38. Chung, C.Y.-S.; Posimo, J.M.; Lee, S.; Tsang, T.; Davis, J.M.; Brady, D.C.; Chang, C.J. Activity-based ratiometric FRET probe reveals oncogene-driven changes in labile copper pools induced by altered glutathione metabolism. Proceedings of the National Academy of Sciences 2019, 116, 18285–18294. [Google Scholar] [CrossRef]
  39. Banci, L.; Bertini, I.; Ciofi-Baffoni, S.; Kozyreva, T.; Zovo, K.; Palumaa, P. Affinity gradients drive copper to cellular destinations. Nature 2010, 465, 645–648. [Google Scholar] [CrossRef]
  40. Shen, C.; New, E.J. What has fluorescent sensing told us about copper and brain malfunction? Metallomics : integrated biometal science 2015, 7, 56–65. [Google Scholar] [CrossRef] [PubMed]
  41. Ackerman, C.M.; Lee, S.; Chang, C.J. Analytical Methods for Imaging Metals in Biology: From Transition Metal Metabolism to Transition Metal Signaling. Analytical Chemistry 2017, 89, 22–41. [Google Scholar] [CrossRef]
  42. Ackerman, C.M.; Chang, C.J. Copper signaling in the brain and beyond. The Journal of biological chemistry 2018, 293, 4628–4635. [Google Scholar] [CrossRef] [PubMed]
  43. Pezacki, A.T.; Matier, C.D.; Gu, X.; Kummelstedt, E.; Bond, S.E.; Torrente, L.; Jordan-Sciutto, K.L.; DeNicola, G.M.; Su, T.A.; Brady, D.C. , et al. Oxidation state-specific fluorescent copper sensors reveal oncogene-driven redox changes that regulate labile copper(II) pools. Proceedings of the National Academy of Sciences of the United States of America 2022, 119, e2202736119. [Google Scholar] [CrossRef] [PubMed]
  44. Kaplan, Jack H. ; Maryon, Edward B. How Mammalian Cells Acquire Copper: An Essential but Potentially Toxic Metal. Biophys J 2016, 110, 7–13. [Google Scholar] [CrossRef]
  45. Pang, W.L.; Kaur, A.; Ratushny, A.V.; Cvetkovic, A.; Kumar, S.; Pan, M.; Arkin, A.P.; Aitchison, J.D.; Adams, M.W.W.; Baliga, N.S. Metallochaperones Regulate Intracellular Copper Levels. PLOS Comput Biol 2013, 9, e1002880. [Google Scholar] [CrossRef] [PubMed]
  46. Robinson, N.J.; Winge, D.R. Copper metallochaperones. Annu Rev Biochem 2010, 79, 537–562. [Google Scholar] [CrossRef]
  47. Kaplan, J.H.; Lutsenko, S. Copper Transport in Mammalian Cells: Special Care for a Metal with Special Needs. J. Bio. Chem. 2009, 284, 25461–25465. [Google Scholar] [CrossRef]
  48. Andrei, A.; Öztürk, Y.; Khalfaoui-Hassani, B.; Rauch, J.; Marckmann, D.; Trasnea, P.-I.; Daldal, F.; Koch, H.-G. Cu Homeostasis in Bacteria: The Ins and Outs. Membranes 2020, 10, 242. [Google Scholar] [CrossRef]
  49. Jiang, W.; Saxena, A.; Song, B.; Ward, B.B.; Beveridge, T.J.; Myneni, S.C.B. Elucidation of Functional Groups on Gram-Positive and Gram-Negative Bacterial Surfaces Using Infrared Spectroscopy. Langmuir 2004, 20, 11433–11442. [Google Scholar] [CrossRef] [PubMed]
  50. Sutherland, E.R.; Martin, R.J. Asthma and Atypical Bacterial Infection. Chest 2007, 132, 1962–1966. [Google Scholar] [CrossRef]
  51. Ladomersky, E.; Petris, M.J. Copper tolerance and virulence in bacteria. Metallomics : integrated biometal science 2015, 7, 957–964. [Google Scholar] [CrossRef]
  52. Argüello, J.M.; Raimunda, D.; Padilla-Benavides, T. Mechanisms of copper homeostasis in bacteria. Front. Cell Infect. Microbiol. 2013, 3. [Google Scholar] [CrossRef]
  53. Ward, S.K.; Abomoelak, B.; Hoye, E.A.; Steinberg, H.; Talaat, A.M. CtpV: a putative copper exporter required for full virulence of Mycobacterium tuberculosis. Mol. Microbiol. 2010, 77, 1096–1110. [Google Scholar] [CrossRef] [PubMed]
  54. Wolschendorf, F.; Ackart, D.; Shrestha, T.B.; Hascall-Dove, L.; Nolan, S.; Lamichhane, G.; Wang, Y.; Bossmann, S.H.; Basaraba, R.J.; Niederweis, M. Copper resistance is essential for virulence of Mycobacterium tuberculosis. PNAS 2011, 108, 1621–1626. [Google Scholar] [CrossRef]
  55. Dennison, C.; David, S.; Lee, J. Bacterial copper storage proteins. J. Biol. Chem. 2018, 293, 4616–4627. [Google Scholar] [CrossRef] [PubMed]
  56. Calvo, J.; Jung, H.; Meloni, G. Copper metallothioneins. IUBMB Life 2017, 69, 236–245. [Google Scholar] [CrossRef] [PubMed]
  57. Kurtz, J. Memory in the innate and adaptive immune systems. Microbes Infect. 2004, 6, 1410–1417. [Google Scholar] [CrossRef]
  58. Healy, C.; Munoz-Wolf, N.; Strydom, J.; Faherty, L.; Williams, N.C.; Kenny, S.; Donnelly, S.C.; Cloonan, S.M. Nutritional immunity: the impact of metals on lung immune cells and the airway microbiome during chronic respiratory disease. In Respiratory Research, BioMed Central Ltd: 2021; Vol. 22.
  59. Hood, M.I.; Skaar, E.P. Nutritional immunity: transition metals at the pathogen-host interface. Nat. Rev. Microbiol. 2012, 10, 525–537. [Google Scholar] [CrossRef]
  60. He, R.; Zuo, Y.; Zhao, L.; Ma, Y.; Yan, Q.; Huang, L. Copper stress by nutritional immunity activates the CusS-CusR two-component system that contributes to Vibrio alginolyticus anti-host response but affects virulence-related properties. Aquaculture 2021, 532, 736012. [Google Scholar] [CrossRef]
  61. Yadav, R.; Noinaj, N.; Ostan, N.; Moraes, T.; Stoudenmire, J.; Maurakis, S.; Cornelissen, C.N. Structural Basis for Evasion of Nutritional Immunity by the Pathogenic Neisseriae. Front. Microbiol. 2019, 10, 2981. [Google Scholar] [CrossRef] [PubMed]
  62. Cassat, J.E.; Skaar, E.P. Metal ion acquisition in Staphylococcus aureus: overcoming nutritional immunity. Semin. Immunopathol. 2012, 34, 215–235. [Google Scholar] [CrossRef] [PubMed]
  63. Benhalima, L.; Amri, S.; Bensouilah, M.; Ouzrout, R. Antibacterial effect of copper sulfate against multi-drug resistant nosocomial pathogens isolated from clinical samples: Effect of copper sulfate on clinical isolates. Pak J Med Sci 2019, 35. [Google Scholar] [CrossRef]
  64. Febré, N.; Silva, V.; Báez, A.; Palza, H.; Delgado, K.; Aburto, I.; Silva, V. Comportamiento antibacteriano de partículas de cobre frente a microorganismos obtenidos de úlceras crónicas infectadas y su relación con la resistencia a antimicrobianos de uso común. Rev. Med. Chile 2016, 144, 1523–1530. [Google Scholar] [CrossRef] [PubMed]
  65. Meir, A.; Lepechkin-Zilbermintz, V.; Kahremany, S.; Schwerdtfeger, F.; Gevorkyan-Airapetov, L.; Munder, A.; Viskind, O.; Gruzman, A.; Ruthstein, S. Inhibiting the copper efflux system in microbes as a novel approach for developing antibiotics. PLOS ONE 2019, 14, e0227070. [Google Scholar] [CrossRef] [PubMed]
  66. Sehnal, D.; Bittrich, S.; Deshpande, M.; Svobodová, R.; Berka, K.; Bazgier, V.; Velankar, S.; Burley, S.K.; Koča, J.; Rose, A.S. Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures. Nucleic Acids Res. 2021, 49, W431–W437. [Google Scholar] [CrossRef] [PubMed]
  67. Lee, J.; Dennison, C. Cytosolic Copper Binding by a Bacterial Storage Protein and Interplay with Copper Efflux. Int. J. Mol. Sci. 2019, 20, 4144. [Google Scholar] [CrossRef] [PubMed]
  68. Vita, N.; Landolfi, G.; Baslé, A.; Platsaki, S.; Lee, J.; Waldron, K.J.; Dennison, C. Bacterial cytosolic proteins with a high capacity for Cu(I) that protect against copper toxicity. Sci. Rep. 2016, 6, 39065. [Google Scholar] [CrossRef] [PubMed]
  69. Brown, H.L. Microbial Growth. In Encyclopedia of Infection and Immunity, Elsevier: 2022; 10.1016/B978-0-12-818731-9.00190-7pp. 324-335.
  70. Tsvetkov, P.; Coy, S.; Petrova, B.; Dreishpoon, M.; Verma, A.; Abdusamad, M.; Rossen, J.; Joesch-Cohen, L.; Humeidi, R.; Spangler, R.D. , et al. Copper induces cell death by targeting lipoylated TCA cycle proteins. Science 2022, 375, 1254–1261. [Google Scholar] [CrossRef]
  71. Steunou, A.S.; Bourbon, M.L.; Babot, M.; Durand, A.; Liotenberg, S.; Yamaichi, Y.; Ouchane, S. Increasing the copper sensitivity of microorganisms by restricting iron supply, a strategy for bio-management practices. Microb. Biotech. 2020, 13, 1530–1545. [Google Scholar] [CrossRef]
  72. Macomber, L.; Imlay, J.A. The iron-sulfur clusters of dehydratases are primary intracellular targets of copper toxicity. PNAS 2009, 106, 8344–8349. [Google Scholar] [CrossRef] [PubMed]
  73. Fung, D.K.; Lau, W.Y.; Chan, W.T.; Yan, A. Copper efflux is induced during anaerobic amino acid limitation in Escherichia coli to protect iron-sulfur cluster enzymes and biogenesis. J. Bacteriol. 2013, 195, 4556–4568. [Google Scholar] [CrossRef]
  74. Kowalska-Krochmal, B.; Dudek-Wicher, R. The Minimum Inhibitory Concentration of Antibiotics: Methods, Interpretation, Clinical Relevance. In Pathogens, 2021; Vol. 10.
  75. Ejidike, I.P. Cu(II) Complexes of 4-[(1E)-N-{2-[(Z)-Benzylidene-amino]ethyl}ethanimidoyl]benzene-1,3-diol Schiff Base: Synthesis, Spectroscopic, In-Vitro Antioxidant, Antifungal and Antibacterial Studies. Molecules 2018, 23, 1581. [Google Scholar] [CrossRef] [PubMed]
  76. Ceramella, J.; Iacopetta, D.; Catalano, A.; Cirillo, F.; Lappano, R.; Sinicropi, M.S. A Review on the Antimicrobial Activity of Schiff Bases: Data Collection and Recent Studies. Antibiotics (Basel) 2022, 11, 191. [Google Scholar] [CrossRef] [PubMed]
  77. Miller, E.L. The penicillins: A review and update. J. Midwifery Womens Health 2002, 47, 426–434. [Google Scholar] [CrossRef]
  78. Bruniera, F.R.; Ferreira, F.M.; Saviolli, L.R.; Bacci, M.R.; Feder, D.; da Luz Gonçalves Pedreira, M.; Sorgini Peterlini, M.A.; Azzalis, L.A.; Campos Junqueira, V.B.; Fonseca, F.L. The use of vancomycin with its therapeutic and adverse effects: a review. Eur. Rev. Med. Pharmacol. Sci. 2015, 19, 694–700. [Google Scholar] [PubMed]
  79. Chung, P.Y.; Khoo, R.E.Y.; Liew, H.S.; Low, M.L. Antimicrobial and antibiofilm activities of Cu(II) Schiff base complexes against methicillin-susceptible and resistant Staphylococcus aureus. Ann Clin Microbiol Antimicrob 2021, 20, 67. [Google Scholar] [CrossRef]
  80. Kapoor, G.; Saigal, S.; Elongavan, A. Action and resistance mechanisms of antibiotics: A guide for clinicians. J. Anaesthesiol. Clin. Pharmacol. 2017, 33, 300–305. [Google Scholar] [CrossRef]
  81. Meletiadis, J.; Pournaras, S.; Roilides, E.; Walsh Thomas, J. Defining Fractional Inhibitory Concentration Index Cutoffs for Additive Interactions Based on Self-Drug Additive Combinations, Monte Carlo Simulation Analysis, and In Vitro-In Vivo Correlation Data for Antifungal Drug Combinations against Aspergillus fumigatus. Antimicrob. Agents Chemother. 2010, 54, 602–609. [Google Scholar] [CrossRef]
  82. Irto, A.; Cardiano, P.; Chand, K.; Cigala, R.M.; Crea, F.; De Stefano, C.; Gano, L.; Gattuso, G.; Sammartano, S.; Santos, M.A. New bis-(3-hydroxy-4-pyridinone)-NTA-derivative: Synthesis, binding ability towards Ca2+, Cu2+, Zn2+, Al3+, Fe3+ and biological assays. Journal of Molecular Liquids 2018, 272, 609–624. [Google Scholar] [CrossRef]
  83. Leite, A.; Bessa, L.J.; Silva, A.M.G.; Gameiro, P.; de Castro, B.; Rangel, M. Antibacterial activity of naphthyl derived bis-(3-hydroxy-4-pyridinonate) copper(II) complexes against multidrug-resistant bacteria. J. Inorg. Biochem. 2019, 197, 110704. [Google Scholar] [CrossRef] [PubMed]
  84. Nakahata, D.H.; de Paiva, R.E.F.; Lustri, W.R.; Corbi, P.P. Sulfonamide-containing copper(ii) complexes: new insights on biophysical interactions and antibacterial activities. New J. Chem. 2020, 44, 17236–17244. [Google Scholar] [CrossRef]
  85. Nakahata, D.H.; de Paiva, R.E.F.; Lustri, W.R.; Ribeiro, C.M.; Pavan, F.R.; da Silva, G.G.; Ruiz, A.; de Carvalho, J.E.; Corbi, P.P. Sulfonamide-containing copper(II) metallonucleases: Correlations with in vitro antimycobacterial and antiproliferative activities. J. Inorg. Biochem. 2018, 187, 85–96. [Google Scholar] [CrossRef]
  86. Dalecki, A.G.; Haeili, M.; Shah, S.; Speer, A.; Niederweis, M.; Kutsch, O.; Wolschendorf, F. Disulfiram and Copper Ions Kill Mycobacterium tuberculosis in a Synergistic Manner. Antimicrob. Agents Chemother. 2015, 59, 4835–4844. [Google Scholar] [CrossRef]
  87. Dalecki, A.G.; Crawford, C.L.; Wolschendorf, F. Chapter Six - Copper and Antibiotics: Discovery, Modes of Action, and Opportunities for Medicinal Applications. In Advances in Microbial Physiology, Poole, R.K., Ed. Academic Press: 2017; Vol. 70, pp. 193–260.
  88. Crawford, C.L.; Dalecki, A.G.; Perez, M.D.; Schaaf, K.; Wolschendorf, F.; Kutsch, O. A copper-dependent compound restores ampicillin sensitivity in multidrug-resistant Staphylococcus aureus. Sci. Rep. 2020, 10, 8955. [Google Scholar] [CrossRef]
  89. Libardo, M.D.; Nagella, S.; Lugo, A.; Pierce, S.; Angeles-Boza, A.M. Copper-binding tripeptide motif increases potency of the antimicrobial peptide Anoplin via Reactive Oxygen Species generation. Biochem. Biophys. Res. Comm. 2015, 456, 446–451. [Google Scholar] [CrossRef] [PubMed]
  90. Libardo, M.D.; Gorbatyuk, V.Y.; Angeles-Boza, A.M. Central Role of the Copper-Binding Motif in the Complex Mechanism of Action of Ixosin: Enhancing Oxidative Damage and Promoting Synergy with Ixosin B. ACS Infect. Dis. 2016, 2, 71–81. [Google Scholar] [CrossRef]
  91. Libardo, M.D.J.; Bahar, A.A.; Ma, B.; Fu, R.; McCormick, L.E.; Zhao, J.; McCallum, S.A.; Nussinov, R.; Ren, D.; Angeles-Boza, A.M. , et al. Nuclease activity gives an edge to host-defense peptide piscidin 3 over piscidin 1, rendering it more effective against persisters and biofilms. Febs. J. 2017, 284, 3662–3683. [Google Scholar] [CrossRef]
  92. Hayden, R.M.; Goldberg, G.K.; Ferguson, B.M.; Schoeneck, M.W.; Libardo, M.D.; Mayeux, S.E.; Shrestha, A.; Bogardus, K.A.; Hammer, J.; Pryshchep, S. , et al. Complementary Effects of Host Defense Peptides Piscidin 1 and Piscidin 3 on DNA and Lipid Membranes: Biophysical Insights into Contrasting Biological Activities. J. Phys. Chem. B 2015, 119, 15235–15246. [Google Scholar] [CrossRef]
  93. Chen, W.; Cotten, M.L. Expression, purification, and micelle reconstitution of antimicrobial piscidin 1 and piscidin 3 for NMR studies. Protein. Expr. Purif. 2014, 102, 63–68. [Google Scholar] [CrossRef] [PubMed]
  94. de Oliveira, A.G.; Spago, F.R.; Simionato, A.S.; Navarro, M.O.P.; da Silva, C.S.; Barazetti, A.R.; Cely, M.V.T.; Tischer, C.A.; San Martin, J.A.B.; de Jesus Andrade, C.G.T. , et al. Bioactive Organocopper Compound from Pseudomonas aeruginosa Inhibits the Growth of Xanthomonas citri subsp. citri. Front. Microbiol. 2016, 7. [Google Scholar] [CrossRef]
  95. Kumar, C.S.K.V.; Rao, A.S. Inoculum potential, disease development and penetration of host byAlternaria triticina. Incitant of leaf blight of wheat. Proc. Indian Acad. Sci. 1979, 88, 359–365. [Google Scholar] [CrossRef]
  96. Afonso, L.; Andreata, M.F.; Chryssafidis, A.L.; Alarcon, S.F.; das Neves, A.P.; da Silva, J.V.; Gonçalves, G.D.; Abussafi, L.D.; Simionato, A.S.; Cely, M.V. , et al. Fluopsin C: A Review of the Antimicrobial Activity against Phytopathogens. In Agronomy, 2022; Vol. 12.
  97. Hyman, L.M.; Stephenson, C.J.; Dickens, M.G.; Shimizu, K.D.; Franz, K.J. Toward the development of prochelators as fluorescent probes of copper-mediated oxidative stress. Dalton Trans. 2010, 39, 568–576. [Google Scholar] [CrossRef]
  98. Folk, D.S.; Franz, K.J. A Prochelator Activated by β-Secretase Inhibits Aβ Aggregation and Suppresses Copper-Induced Reactive Oxygen Species Formation. J. Amer. Chem. Soc. 2010, 132, 4994–4995. [Google Scholar] [CrossRef] [PubMed]
  99. Zaengle-Barone, J.M.; Jackson, A.C.; Besse, D.M.; Becken, B.; Arshad, M.; Seed, P.C.; Franz, K.J. Copper Influences the Antibacterial Outcomes of a β-Lactamase-Activated Prochelator against Drug-Resistant Bacteria. ACS Infect. Dis. 2018, 4, 1019–1029. [Google Scholar] [CrossRef]
  100. Valodkar, M.; Rathore, P.S.; Jadeja, R.N.; Thounaojam, M.; Devkar, R.V.; Thakore, S. Cytotoxicity evaluation and antimicrobial studies of starch capped water soluble copper nanoparticles. J. Hazard. Mater. 2012, 201-202, 244–249. [Google Scholar] [CrossRef]
  101. Tao, B.; Lin, C.; Deng, Y.; Yuan, Z.; Shen, X.; Chen, M.; He, Y.; Peng, Z.; Hu, Y.; Cai, K. Copper-nanoparticle-embedded hydrogel for killing bacteria and promoting wound healing with photothermal therapy. J. Mat. Chem. B 2019, 7, 2534–2548. [Google Scholar] [CrossRef] [PubMed]
  102. Mehdizadeh, T.; Zamani, A.; Abtahi Froushani, S.M. Preparation of Cu nanoparticles fixed on cellulosic walnut shell material and investigation of its antibacterial, antioxidant and anticancer effects. Heliyon 2020, 6, e03528. [Google Scholar] [CrossRef]
  103. Bastos, C.A.P.; Faria, N.; Wills, J.; Malmberg, P.; Scheers, N.; Rees, P.; Powell, J.J. Copper nanoparticles have negligible direct antibacterial impact. NanoImpact 2020, 17, 100192. [Google Scholar] [CrossRef]
  104. Chatterjee, A.K.; Chakraborty, R.; Basu, T. Mechanism of antibacterial activity of copper nanoparticles. Nanotech. 2014, 25, 135101. [Google Scholar] [CrossRef]
  105. Datta Majumdar, T.; Ghosh, C.K.; Mukherjee, A. Dual Role of Copper Nanoparticles in Bacterial Leaf Blight-Infected Rice: A Therapeutic and Metabolic Approach. ACS Agric. Sci. Technol. 2021, 1, 160–172. [Google Scholar] [CrossRef]
  106. Naqvi, S.S.; Anwer, H.; Siddiqui, A.; Zohra, R.R.; Ali, S.A.; Shah, M.R.; Hashim, S. Novel Synthesis of Maltol Capped Copper Nanoparticles and Their Synergistic Antibacterial Activity with Antibiotics. Plasmonics 2021, 16, 1915–1928. [Google Scholar] [CrossRef]
  107. Zou, Z.; Sun, J.; Li, Q.; Pu, Y.; Liu, J.; Sun, R.; Wang, L.; Jiang, T. Vancomycin modified copper sulfide nanoparticles for photokilling of vancomycin-resistant enterococci bacteria. Colloids Surf. B 2020, 189, 110875. [Google Scholar] [CrossRef] [PubMed]
  108. Zhang, X.; Chen, Z.; Ma, Y.; Zhang, N.; Wei, D.; Zhang, H.; Zhang, H. Response of partial nitrification sludge to the single and combined stress of CuO nanoparticles and sulfamethoxazole antibiotic on microbial activity, community and resistance genes. Sci. Total Environ. 2020, 712, 135759. [Google Scholar] [CrossRef]
  109. Antimicrobial resistance. Availabe online: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance (accessed on 02-15-2023).
  110. Qian, J.; Dong, Q.; Chun, K.; Zhu, D.; Zhang, X.; Mao, Y.; Culver, J.N.; Tai, S.; German, J.R.; Dean, D.P. , et al. Highly stable, antiviral, antibacterial cotton textiles via molecular engineering. Nature Nanotech. 2022, 18, 168–176. [Google Scholar] [CrossRef]
Scheme 1. Chemical reaction between Cu(II) and ROS.
Scheme 1. Chemical reaction between Cu(II) and ROS.
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Scheme 2. Fenton-like chemical reaction between Cu(II) and peroxides can create ROS.
Scheme 2. Fenton-like chemical reaction between Cu(II) and peroxides can create ROS.
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Figure 1. Common Cu coordination modalities in peptides and proteins.
Figure 1. Common Cu coordination modalities in peptides and proteins.
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Figure 2. Schematic representation of Cu trafficking in human cells. Cu transporter ceruloplasmin delivers Cu to CTR1, where it enters the cell via active transport and forms part of a dynamic labile Cu pool before being trafficked for storage and functionalization. (Image created using Biorender.com).
Figure 2. Schematic representation of Cu trafficking in human cells. Cu transporter ceruloplasmin delivers Cu to CTR1, where it enters the cell via active transport and forms part of a dynamic labile Cu pool before being trafficked for storage and functionalization. (Image created using Biorender.com).
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Figure 3. Gram-negative and Gram-positive bacterial cell wall structural comparison (Image created using Biorender.com).
Figure 3. Gram-negative and Gram-positive bacterial cell wall structural comparison (Image created using Biorender.com).
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Figure 4. Copper pathway from the extracellular space to the bacterial cytoplasm of E. coli. (Images created using Biorender.com).
Figure 4. Copper pathway from the extracellular space to the bacterial cytoplasm of E. coli. (Images created using Biorender.com).
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Figure 5. Schematic representation of inhibition of Cu efflux CusCFBA complex. Figure created by Biorender.com.
Figure 5. Schematic representation of inhibition of Cu efflux CusCFBA complex. Figure created by Biorender.com.
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Figure 6. Csp3 protein from Bacillus subtilis. PDB: 5FIG.
Figure 6. Csp3 protein from Bacillus subtilis. PDB: 5FIG.
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Figure 7. The structure of Cu(II) complexes with antibiotic properties. Cu(II) complexes of Schiff bases (A) SBD2 and (B) SBD4. The Cu(II) complex of naphthyl derived 3-hydroxy-4-pyridinone (Cu(naph1pp)2) (C) and the Cu(II) complex of a sulfonamide ligand (Complex 1) (D).
Figure 7. The structure of Cu(II) complexes with antibiotic properties. Cu(II) complexes of Schiff bases (A) SBD2 and (B) SBD4. The Cu(II) complex of naphthyl derived 3-hydroxy-4-pyridinone (Cu(naph1pp)2) (C) and the Cu(II) complex of a sulfonamide ligand (Complex 1) (D).
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Figure 8. ATP-6K, a second-generation CDI.
Figure 8. ATP-6K, a second-generation CDI.
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Figure 9. Molecular structure of Fluopsin C, a copper-metabolite.
Figure 9. Molecular structure of Fluopsin C, a copper-metabolite.
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Scheme 3. Beta-Lactamase PcephPT cleavage to produce cytotoxic pyrithione (PT).
Scheme 3. Beta-Lactamase PcephPT cleavage to produce cytotoxic pyrithione (PT).
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Figure 10. ROS production from copper nanoparticles through Fenton type and Haber-Weiss reactions.
Figure 10. ROS production from copper nanoparticles through Fenton type and Haber-Weiss reactions.
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Table 1. Copper and iron ions and their preferred ligands [27,28].
Table 1. Copper and iron ions and their preferred ligands [27,28].
Metal ion Coordination number, Geometry Preferred ligands Preferred amino acid ligands
Copper, Cu(I) (d10) 4, Tetrahedral S-donor, thiolate, N-donors, imidazole Cysteine (Cys/C), Lysine (Lys/K), Arginine (Arg/R), Histidine (His/H)
3, Trigonal planar N-donors, imidazole (His/H)
Copper, Cu(II) (d9) 4, Tetrahedral S-donor, thiolate, N-donors, imidazole Cys/C, Lys/K, Arg/R, His/H
4, Square planar O-donor, Carboxylate, N-donors, imidazole Glutamate (Glu/E), Aspartate (Asp/D), Lys/K, Arg/R, His/H
6, Tetragonal O-donor, Carboxylate, N-donors, imidazole Glu/E, Asp/D, Lys/K, Arg/R, His/H
Iron, Fe (II) (d6) 4, Tetrahedral S-donor, thiolate Cys/C
6, Octahedral O-donor, carboxylate, alkoxide, oxide, phenolate, N-donor, imidazole, porphyrins (heme groups) Glu/E, Asp/D, Lys/K, Arg/R, His/H, Serine (Ser/S)
Iron, Fe (III) (d5) 6, Octahedral O-donor, Carboxylate, carbonyl Glu/E, Asp/D, His/H, Tyrosine (Tyr/Y)
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