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Nanotechnology Applications in Sepsis: Essential Knowledge for Clinicians

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08 May 2023

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09 May 2023

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Abstract
Sepsis is a life-threatening condition caused by a dysregulated host response to an invading pathogen such as multidrug-resistant bacteria. Despite recent advancements, sepsis is a leading cause of morbidity and mortality, resulting in a significant global impact and burden. This condition affects all age groups, with clinical outcomes depending mainly on timely diagnosis and appropriate early therapeutic intervention. Because of the unique features of nanosized systems, there is a growing interest in developing and designing novel solutions. Nanoscale-engineered materials allow a targeted and controlled release of bioactive agents, resulting in improved efficacy with minimal side effects. Additionally, nanoparticle-based sensors provide a quicker and more reliable alternative to conventional diagnostic methods for identifying infection and organ dysfunction. Despite recent advancements, fundamental nanotechnology principles are often presented in technical formats that presuppose advanced chemistry, physics, and engineering knowledge. Consequently, clinicians may not grasp the underlying science, hindering interdisciplinary collaborations and successful translation from bench to bedside. In this review, we abridge some of the most recent and most promising nanotechnology-based solutions for sepsis diagnosis and management using an intelligible format to stimulate a seamless collaboration between engineers, scientists, and clinicians.
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Subject: Medicine and Pharmacology  -   Medicine and Pharmacology

1. Introduction

Sepsis is a clinical syndrome characterized by physiologic, pathologic, and biochemical abnormalities induced by an invading pathogen, causing dysregulated host immune response and being ultimately responsible for life-threatening organ dysfunction. It is a leading cause of morbidity and mortality, affecting all age groups and representing a significant global burden [1,2,3]. Clinical outcomes in patients admitted due to sepsis depend mainly on timely diagnosis and appropriate early therapeutic intervention.
Various consensus meetings have been held throughout the last decades to better define sepsis as a clinical entity. In the 1990s, sepsis was characterized by a systemic inflammatory response syndrome that, when complicated by organ dysfunction, was termed “severe sepsis” and could progress to septic shock [4,5]. Despite the limitations of these definitions and the attempts to identify precise diagnostic criteria, the definitions of sepsis, septic shock, and organ dysfunction have remained mainly unchanged. To unify these concepts, the Sepsis-3 meeting recently defined sepsis as a life-threatening organ dysfunction caused by a dysregulated host response to infection, emphasizing the primacy of a nonhomeostatic host response, the potential lethality, and the need for early recognition [5]. Even a modest degree of organ dysfunction is associated with an in-hospital mortality excess of 10% [5]. Despite advancements in the understanding of sepsis as a clinical entity and its pathophysiology, it remains a common condition with no approved specific molecular therapies and significant mortality [6,7,8]. Controversy continues to surround nearly every variable in the management of sepsis. At the same time, clinical trials fail to show significant results in the attempts to normalize or enhance various aspects of the physiology of these patients [9].
Nanotechnology is considered one of the most promising technologies of the 21st century and refers to the design and use of technologies at the nanoscale. These structures have unique physical, chemical, and biological properties that can be of interest in the engineering of devices and diagnostic systems, as well as for treating some medical conditions. The possibility to design nanostructures with specific characteristics such as size, shape, elasticity, surface charge, and functionalization allows its application in biomedical areas ranging from drug delivery, vaccine, and antibacterial drug development to diagnosis and imaging tools [10,11]. The in-depth nanotechnological principles and modulation of these materials’ physicochemical properties are out of scope of this review, yet they are covered by other authors [12,13].
Due to the versatility of these materials, there is growing interest in their application in the medical field, particularly in the management of sepsis [14]. In recent years innovative nanoparticle-based sensors have been explored for the point-of-care identification of infections and organ dysfunction [15,16]. Nanoscale-engineered materials allow a controlled and efficient release of bioactive agents to target organs and cells, resulting in improved efficacy with minimal side effects of currently available drugs [17]. Despite the promising results, clinical translation remains intricate. The fundamental principles of nanotechnology are often presented in highly technical formats that are difficult for the non-expert to comprehend. This ultimately hinders collaborations with clinicians and delays the translation of nanotechnological approaches to patient bedside. With this review, we aim to introduce some of the most recent and most promising outcomes of nanotechnology applications to the field of sepsis in an accessible format for both clinicians and the scientific community.

2. Pathophysiology of sepsis

Sepsis is fundamentally an inflammatory disease consisting of short-term hyperinflammatory and longer-term immunosuppressive phases [17]. In an early establishment phase, a “cytokine storm” induces an overwhelming inflammatory reaction, resulting in high fevers and refractory shock that can be followed by cardiac and pulmonary failure [17]. This initial phase of the disease is responsible for the highest death rates. After that, exhaustion of the immune system, immune cell dysfunction, and apoptosis cause persistent immunosuppression, resulting in organ damage and failure and late-period mortality [18].
The triggering event is the recognition of pathogen-associated molecular patterns (PAMPs) or danger-associated molecular patterns (DAMPs). The recognition of these and other microbial-derived products by epithelial and endothelial cell populations triggers a complex intracellular signaling system that promotes inflammation. The microbial-derived molecules and the signaling pathways activated regulate the intensity and direction of the inflammatory response. Simultaneously, the activation of complement system and production of pro-inflammatory cytokines profoundly affects coagulation and vascular endothelium function. During the establishment of sepsis, the expression of adhesion molecules, pro-coagulant and anti-coagulant proteins is significantly altered, resulting in the transition of the epithelium from an anti-coagulant to a pro-coagulant state. The overactivation of complement system mediators is also associated with the generation of elevated levels of reactive oxygen species and the release of granular enzymes, causing significant inflammatory tissue damage. These mechanisms are believed to contribute to vasodilation, tissue damage, and multiple organ failure in acute infection (reviewed in [19]).
Although early systemic inflammatory response is considered a hallmark of sepsis, immunosuppression is usually observed in these patients. Surviving patients exhibit persistent inflammation/immunosuppression and catabolism syndrome [20,21]. The main features of this clinical syndrome are markedly increased C-reactive protein concentrations, neutrophilia, and the release of immature myeloid cells [22]. Immature myeloid cells have defective antimicrobial activity and produce anti-inflammatory cytokines when mobilized to circulation, downregulating the inflammation and resulting in functional immunosuppression. Although the etiology of this entity is unknown, it is likely driven by DAMPs produced by injured tissues and organs [23].

3. Current diagnosis and management of sepsis

In an attempt to determine the clinical hallmarks that more accurately reflect the dysregulated host response seen in sepsis patients, the task force of the Sepsis-3 meeting investigated which clinical criteria best identified infected patients most likely to have sepsis among 1.3 million electronic health records cohort [24]. This study found that among patients with suspected infection in the intensive care unit, Sequential [Sepsis-related] Organ Failure Assessment (SOFA) and Logistic Organ Dysfunction System scores had great predictive validity. The Surviving Sepsis Guidelines highly recommends using sepsis screening tools such as the scores above as a part of performance-improving plans. Nevertheless, the authors advise against abbreviated scores, particularly the quick SOFA [25,26,27,28,29].
Nonetheless, it is necessary first to diagnose infection. The gold standard for diagnosis and pathogen identification is microbiological cultures from biofluids. This technically simple laboratory procedure offers helpful information but is severely hindered by long incubation times, being unsuitable for emergency diagnostics. Furthermore, a significant proportion of patients with sepsis (around 40%) display negative blood cultures, usually due to antibiotic administrations before sampling, low concentrations of pathogen colony-forming units, or atypical pathogens not recognized by standard analysis [30,31]. Polymerase-chain-reaction (PCR) detects target pathogen DNA sequences but fails to provide functional information about microbial antibiotic susceptibility. Additionally, this laboratory technique is highly sensitive, and DNA sequences from the host or contaminants that resemble the target sequence could bind the primers used and ultimately produce false positives. There is a pressing need for technologies that not only allow rapid and accurate detection of infection but also enable reliable identification of pathogens. This would improve the overall patient outcome by tailoring antimicrobial therapies, reducing the burden of broad-spectrum antimicrobials, and limiting the progression of multi-drug-resistant organisms [30].
From a patient management perspective, the Surviving Sepsis Guidelines provide up-to-date, evidence-based strategies for sepsis. Unfortunately, it seems impossible to have a single multimodal and specific medicine as an ‘antisepsis’ [32]. So, the management of sepsis is multifaceted [33,34]. Despite guided approaches, there are many practical challenges, such as setting hemodynamic targets, selecting a type of fluid, and challenges related to the application of recommended therapies [14]. Current guidelines propose immediate treatment and fluid resuscitation with early administration of broad-spectrum antibiotics, one of the most effective interventions to reduce mortality in these patients. Additionally, intravenous fluid challenge in hypotensive patients or those with elevated lactate is recommended [25]. Timely fluid resuscitation is essential for the stabilization of tissue hypoperfusion. Fluid administration has to be balanced with the risk of fluid overload and potential harm, especially prolonged ventilation, progression of acute kidney injury, and increased mortality. Intravascular volume status and organ perfusion assessment should guide fluid administration following initial resuscitation. When advanced hemodynamic monitoring is unavailable, alternative measures such as the temperature of the extremities, skin mottling, capillary refill time, and serum lactate levels can be used to evaluate tissue perfusion. Vasopressor therapy is advised for patients in septic shock who display refractory hypotension, with norepinephrine as the first-line agent. Norepinephrine, a potent α-1, and β-1 adrenergic receptor agonist, results in marked vasoconstriction and increased mean arterial pressure, with minimal effect on heart rate. Conversely, dopamine acts in a dose-dependent fashion on dopamine-1, α-1, and β-1 adrenergic receptors. At low doses, it causes vasodilation in renal, splanchnic, cerebral, and coronary beds. With the escalation of its dose, α adrenergic activity predominates, causing vasoconstriction and increased systemic vascular resistance. Its β-1 adrenergic activity can lead to severe cardiac arrhythmias. Several systematic reviews and meta-analyses have found that norepinephrine results in a lower mortality rate and risk of cardiac arrhythmias than dopamine in patients with septic shock [35]. Glucocorticoids have decreased both short- and long-term mortality in patients with sepsis and septic shock, reducing the time to shock resolution and the length of mechanical breathing [36,37].
Despite supportive therapy and timely administration, antibiotics are often ineffective and have little impact on lowering the mortality rate [38]. Furthermore, the immune paralysis associated with sepsis predisposes critically ill patients to secondary infection [14]. These patients require specific strategies directed to restore the function of the immune system beyond antibiotic therapy and supportive measurements. Recent clinical trials have failed to show significant results in the attempt to normalize or enhance various aspects of the physiology of sepsis [9], and controversy continues to surround nearly every variable in managing this condition.

4. Nanotechnology at a glance

Nanotechnology is a complex field encompassing solid-state physics, materials science, surface chemistry, and quantum mechanics. Although the underlying science is complex and often presented in highly technical formats, we aim to distill the main concepts required for a working knowledge of nanoscience and an appreciation of its potential as a clinical tool.
Nanomaterials have a characteristic dimension from 1 to 100 nm and are generally classified into organic and inorganic materials. These are designed with specific chemical, physical, and surface properties that yield the desired biological properties and function [12]. Depending on the materials used, adding or subtracting a few atoms can significantly impact the size and shape of the structure and, consequently, its effects. Nanomaterials can transport drugs by adsorbing, entrapping, or binding covalently to them.
Organic nanomaterials are typically comprised of carbonated skeletons that can be either natural or synthetic molecules. Some examples of organic materials are: protein-based, polysaccharides, chitosan, poly(ethylenimine), poly(alkylcyanoacrylates), poly(amidoamine) dendrimers, or poly(lactic-co-glycolic acid). These materials exhibit excellent biocompatibility and low toxicity and do not elicit significant immunological responses since they consist mainly of carbon, nitrogen, and oxygen. An additional advantage of organic nanomaterials, particularly biologically-derived ones, is the interaction with specific receptors/transporters [39]. Organic nanomaterials have great functional diversity, and their chemical and physical properties can be modulated to carry medical agents and favor binding to a particular subset of cells. Researchers can modulate the composition of organic nanoparticles through the conjugation of molecules, such as antibodies or peptides. This functionalization of the material allows interaction with a diverse range of biological moieties to achieve targeted delivery. A disadvantage of these materials is the batch-to-batch variability, limited ability for controlled modification, and poor tracking capabilities. Organic nanomaterials are currently being used to develop vaccines, immunotherapy, and diagnostics.
Inorganic materials include metals such as gold, copper, zinc, and aluminum; semiconductors such as cadmium selenide, zinc oxide and carbon nanotubes; and compounds such as iron oxide or calcium phosphate. An exciting feature of these particles is their tunable properties. The electrical, optical, and magnetic properties can be modulated by changing their physicochemical design. Inorganic nanoparticles offer advantages such as better control over size and shape and simplicity of preparation and functionalization [39]. Most importantly, these particles are generally easier to track by either microscopic or analytic techniques. However, their stability, biocompatibility, and immunogenicity are less favorable than organic ones. Nonetheless, a significant amount of research has been dedicated to workaround this problem. These issues can be minimized by either coating or encapsulating them with biocompatible materials [12].
Some of main features influencing delivery and function besides nanoparticle composition are as follows: (1) Size. The size of the particles can facilitate or hinder the application of the nanoparticle, for instance, larger particle sizes may be more suitable for size-dependent cell uptake or but smaller particles will display reduced steric hindrance when interacting with antibodies [40]; (2) Shape. The shape of the particles will directly influence its uptake into cells: rods have highest uptake, followed by spheres, cylinders, and cubes. Additionally, shape will influence blood circulation, ability to marginate and to bind other elements [41]; (3) Charge. Surface charge is an essential feature for blood circulation, particle stability in suspension, and initial absorption to cell membranes [42]; (4) Ligands. Nanoparticle functionalization can mediate protein adsorption, mediate interaction with other molecules, modulate the particle solubility and colloidal stability, and influence growth rate and shape [39,43].

5. Nanotechnology applications in sepsis

5.1. Diagnosis devices

The current diagnosis of sepsis is based on biosensors that measure biological and chemical reactions, generating a signal proportional to the concentration of the analyte of interest. Nanotechnology-based biosensors display improved sensitivity and processing time while not requiring specialized skills. A small set of biomarkers have been successfully used in analytical diagnosis, these include C-Reactive Protein (CRP), Interleukin-6 (IL-6), and Procalcitonin (PCT). CRP is a common sepsis biomarker released in response to infection or cytokine stimulation. In healthy individuals, its levels are inferior to 10 mg/L, but it displays an initial rise in 4-6h after tissue injury and peaks within 24-48h [44]. It exhibits a good correlation with infection severity and is helpful in the early diagnosis of sepsis patients [45]. IL-6 is a pro-inflammatory cytokine produced in response to infection and tissue injury, significantly contributing to host defense. Lastly, PCT has recently emerged as a sepsis biomarker due to its marked elevation in the presence of bacterial toxins. CRP and IL-6, on the other hand, lack specificity to differentiate bacterial infections from inflammatory responses. In this section, we will describe the different nanotechnology-based biosensors and some of the most recent applications in the detection of the biomarkers mentioned above.
  • Electrochemical sensors: Comprised of a molecular recognition system and a physicochemical transducer that transforms the chemical responses into an analytical signal [46]. Electrochemical sensors are small devices that exhibit small surface-to-volume ratios and simple immobilization techniques, allowing them to be more rapid, sensitive, selective, and reproducible.
  • Immunosensors: These devices use specific antibody-antigen reactions, providing a sensitive and selective tool for the quantification of various biomarkers. Due to the high affinity of the antibodies, signal amplification, high sensitivity, simple fabrication, low cost, reproducibility, and reliability, the application of immunosensors for diagnosis is a growing field of research. These devices usually utilize nanobodies, particles characterized by recombinant variable domains of heavy-chain-only antibodies. These materials exhibit excellent solubility, stability, and specificity and display quick blood clearance and deep tissue penetration [47].
  • Miscellaneous nanosensors: Other diagnostic approaches that have been explored in this field use, for instance, the principles of optical and magnetic resonance properties alongside nanoparticles, allowing the detection of multiple molecules of interest ranging from protein biomarkers to pathogens [14].
Ruppert et al. have recently published a report investigating the potential of a quantum dot-labeled lateral flow immunoassay for quantifying CRP and IL-6 [48]. Lateral flow immunoassays are paper-based platforms that detect and quantify analytes in complex mixtures [49]. A liquid sample moves by capillary action through various zones of functionalized polymeric strips, on which molecules that can interact with the analyte are attached [49]. These assays are simple, rapid, robust, and cost-effective, demonstrating the outstanding potential to simplify and accelerate diagnosis Quantum dots are nanosized particles composed of semiconducting materials such as: cadmium, graphene, silicon, or germanium [50]. When excited by UV-light sources, these particles have characteristic optic and electrical properties that allow them to emit narrow, sharp peaks of a distinct color, serving as a label for bioassays. Using two different quantum dots as labels, one amine- and one carboxyl-modified, allowed the detection of CRP and IL-6 on one test line. The study found that this setup allowed for quantitative readout with elevated sensitivity. Additionally, with simple adjustments (varying sample volume, amount of probes applied, use of unlabeled antibodies, and different lateral flow membranes), the method can be made suitable for clinically relevant concentration ranges, establishing this approach as a robust, inexpensive, and rapid point of the care system [48].
Bradley et al., on the other hand, have evaluated the effect of nanoparticle size in the detection of IL-6 in a lateral flow device [51]. The study compared the performance of large selenium nanoparticles (between 150 and 310 nm) to that of commercial standard gold nanoparticles (40 nm). For the lateral flow assay a conjugate pad was coated with anti-IL-6 antibody functionalized nanoparticles (either selenium or gold-based), while the test line was coated with anti-IL-6 antibody alone. Upon the application of a sample containing IL-6 the selenium or gold nanoparticles bound the analyte. When crossing the test line, the IL-6-conjugated nanoparticles were captured. The color and intensity of the test line were dependent on the size and type of nanoparticle used and proportional to the quantity of particles captures and to the concentration of IL-6. It was found that 150 and 310 nm sized selenium-coated nanoparticles provided superior sensitivity levels at lower concentrations (0 – 1 ng/mL), compared to 40 nm gold-coated particles. At moderate to high concentrations of IL-6 (1-500 ng/mL) the 40 nm gold-coated particles and the 150 nm selenium-coated particles produced more intense test bands. Inherent steric hindrance effects can explain the reduced sensitivity at increasing IL-6 concentrations for larger particles. Larger particles display low surface-to-volume ratios and, therefore, contain fewer antibody binding sites than the equivalent volume of smaller particles. The 150 nm selenium-coated nanoparticles combined the low limit of detection of the larger particles and the 40 nm gold-coated particle visual intensity in one product. Since the early detection of IL-6 is of greater significance than its detection over a wide concentration range, the 150 nm selenium-coated nanoparticle offer the most desirable detection profile [51].
Last year, Ang et al. published the results of another innovative biosensor, particularly a biofunctionalized magnetic nanoparticle immunoassay of CRP and PCT [52]. The study evaluated the performance of this system in cervicovaginal secretions of pregnant women with preterm pre-labor rupture of membranes to predict early-onset neonatal sepsis. In immunomagnetic reduction assays, such as that used in this report, magnetic nanoparticles are homogeneously dispersed in a solution under external alternating current, causing them to oscillate and spin individually. Iron (III) oxide (Fe3O4) nanoparticles, coated in dextran were functionalized with anti-CRP and anti-PCT antibodies (53 and 51 nm, respectively). The functionalization allowed for the clustering of the nanoparticles when bound to the analytes, leading to slower oscillation and spinning. The signal is then obtained by measuring the attenuation in oscillation using a series of equations. This diagnostic strategy allowed for extremely low detection limits, ranging from 10-4 ng/mL and 10-6 ng/mL in CRP and PCT, respectively [52]. Additionally, the immunomagnetic assays used were of simple pre-processing and allowed for the evaluation of dozens of samples simultaneously.
Sometimes biomarkers lack specificity, or their levels can be influenced by comorbid conditions. Additionally, they cannot provide information about the pathogen that triggered the inflammatory reaction. Therefore, Abagofi et al. evaluated the efficacy of immunomagnetic separation using vancomycin-conjugated polydopamine-coated magnetic nanoparticles in the detection of gram-positive bacteria in whole blood [53]. Among the various techniques developed to isolate pathogens from blood samples, such as filtration, centrifugation and sedimentation, inertial separation, immunomagnetic separation is the most sensitive, due to target-specific antibodies [54]. Typically, antibody-conjugated silica-coated magnetic nanoparticles are used to capture a target pathogen. However, an oxide layer is formed when the silica surface is exposed to air or water. Reactive oxygen species formed in this process interact with cell membranes and cause non-specific adsorption and aggregation. Particle aggregation then interferes with PCR and decreases molecular diagnosis sensitivity. To avoid this, the team developed a vancomycin-conjugated polydopamine-coated magnetic nanoparticle. Vancomycin conjugation allows the detection of a broad range of bacterial species, particularly, gram-positive ones. Polydopamine, a highly adaptable polymer, can prevent non-specific binding due to its strong hydrophilicity [53]. Due to its reactivity with amine and thiol groups it can also be used to immobilize biomolecules on surfaces [55]. The engineered nanoparticles had a diameter of roughly 110 nm. In vitro studies showed that polydopamine-coated nanoparticles did not aggregate in blood samples and exhibited superior gram-positive bacteria capturing efficiency (~90%), compared to vancomycin-conjugated silica-coated particles (~70%). Additionally, PCR molecular diagnostic with polydopamine-coated nanoparticle preconcentration was superior, displaying a lower limit of detection of 10 CFU/mL, with no significant difference in the preconcentration efficiencies for various bacteria strains [53]. Because the technique does not require any sample pretreatment, bacterial concentration takes roughly 30 min, being suitable for emergency diagnostic applications. Although the particles developed could only be used to preconcentrate gram-positive bacteria the authors speculate that the conjugation of polydopamine-coated magnetic nanoparticles with polymyxin B (PMB) could enable simultaneous preconcentration of both gram-positive and negative bacteria.
Zhao et al. developed near-infrared fluorescent nanoprobes and magnetic nanoprobes for rapid capture and detection of bacteria in whole blood [56]. Near-infrared fluorescent probes were prepared by loading indocyanine green into poly(lactic-co-glycolic acid). The particles were then coated with red-blood cell membranes and dibenzocyclooctyne groups with size ranging from 120 to 172 nm. Similarly to the fluorescent probes, Fe3O4 particles were coated with red-blood cell membranes and dibenzocyclooctyne groups and presented a mean size of 343 nm. Coating the probes with red-blood cell membranes reduced non-specific adsorption with blood cells in the sample. Before capture and detection, bacteria samples were modified with azide groups. The dibenzocyclooctyne groups allowed for rapid conjugating with the azide groups of the bacterial membranes. Due to the probes superparamagnetic properties and near-infrared fluorescence there was rapid, and sensitive detection with a fluorescence spectrometer or microscope. The formulation allowed for a detection limit of around 4 CFU/mL in less than 2.5h and was successfully applied to the detection of bacteria in blood samples from patients with sepsis [56].

5.2. Treatment strategies

Due to the ever-evolving increase in drug-resistant pathogens and markedly limitations in developing new antibiotic drugs, the research focus has tracked accordingly. Targeted drug delivery, local potency enhancement, and reduced adverse effects have become the main focus of antimicrobial research in later years [14]. Nanotechnology provides benefits beyond tailoring physicochemical features, notably overcoming resistance and preventing its development while minimizing adverse reactions [14,57]. Nanoparticle formulations can also extend the half-life of antibiotic drugs by acting as a sustained-release system that enables a reduced frequency of drug administration while improving therapeutic indexes [58,59]. Additionally, many nanomaterials, such as silver, and zinc oxide nanoparticles, possess potent inherent antimicrobial activity that can be conveniently used as a treatment adjuvant for antibiotic resistance. This feature is advantageous in inhibiting biofilm generation and targeting intracellular pathogens [60].

5.2.1. Antibiotic-loaded nanoformulations

Sepsis guidelines strongly recommend early and rapid administration of broad-spectrum antibiotics, such as carbapenems [33]. Despite its broad-spectrum antibacterial action with an acceptable safety profile, carbapenems have also been associated with emerging resistance patterns and short circulation half-life, requiring high-dose administration [14]. A workaround was first developed by conjugating carbapenems on the surface of gold nanoparticles [61]. Gold nanoparticles are polyhedron structures of gold atoms at a nanoscale, usually spheres that can be conjugated and functionalized with drugs or other molecules. The use of surface-functionalized nanocarriers had been previously successfully explored with metallic atoms such as gold, silver, and iron. Among these, gold nanoparticles are considered particularly advantageous due to their biocompatibility, rapid preparation, and diversity of shapes and sizes, allowing them to be tailored for intra- or extracellular antimicrobial delivery. Gold materials are also efficient loading vehicles and can be configured in various manners: surface covalent bonding, electrostatic adsorption, and drug encapsulation. Shaker et al. evaluated carbapenem-coated gold nanoparticles in an in vitro antibacterial activity assay. It was reported an increase in therapeutic efficacy, and a decrease in the minimum inhibitory concentration of carbapenem-coated gold nanoparticles, compared to carbapenem alone [61]. It also displayed diffusion-driven release of the drugs from the nanoparticle’s surface, which was prolonged for 48h. One of the major concerns with these types of particles is their clearance. A recent analysis of gold nanoparticle biodistribution found that they were preferentially accumulated in the liver and spleen [62]. The smaller the diameter of the particle, the broader its distribution was, with minor concentrations present in the kidneys, lungs, hearts, and brains of rodents, specifically mice. The gold content in the liver and spleen did not decrease over time, suggesting poor clearance efficacy through bile ducts. However, a decrease in the gold content in the kidneys could suggest renal clearance, although this phenomenon was only observed for the smallest particles (< 8 nm). Due to its accumulation in the liver and kidney, biochemical parameters and histopathology were investigated to determine the toxicity risk. Interestingly, Bailly et al. found that aspartate aminotransferase, alanine aminotransferase, and creatinine levels were comparable to control animal levels, concluding that the accumulation of gold particles did not provoke hepatic or renal toxicity [62]. Additionally, no signs of fibrosis or inflammation were found in the tissues, and normal plasma IL-6 levels suggested the absence of chronic inflammation. Overall, the study demonstrated safety parameters of these formulations, despite their residual accumulation.
Recently, novel formulations of antimicrobial-loaded particles emerged, with Mohammed et al. describing an enzyme-responsive biomimetic solid lipid nanoparticle delivery system [63]. This study was directed at hyaluronidase-secreting bacteria. This enzyme can degrade hyaluronic acid, a glycosaminoglycan crucial in many extra- and intracellular functions. Bacterial hyaluronidase has been identified as a significant virulence factor for bacteria species such as Clostridium perfringens, Staphylococcus aureus, and Streptococcus pneumoniae, by enabling them to spread, colonize and form biofilms. Additionally, this enzyme has been recently implicated in the pathogenesis of sepsis by degrading the endothelium glycocalyx, resulting in increased vasculature permeability and promoting systemic inflammation [64]. Besides bacterial hyaluronidase, bacterial lipase is another known bacterial virulence factor that triggers cell rupture and manipulates the host’s immune system by inhibiting bacterial phagocytosis [65]. In this report, Mohammed et al. evaluated the efficacy of ascorbyl stearate (a vitamin C derivate and potent bacterial hyaluronidase inhibitor) as an adjuvant of a vancomycin tween-80-based lipid nanoparticle delivery system [63]. The addition of ascorbyl stearate was thought to confer both biomimetic and stimuli-responsive properties to the design and enhance its activity against S. aureus and methicillin-resistant S. aureus. Bacterial lipase was hypothesized to hydrolyze ascorbyl stearate once the nanoparticles reached the infection site, separating the ascorbic acid and stearate moieties. The cleavage would result in a conformational change in the nanoparticle structure, triggering the release of vancomycin in the infection site. Various particles were engineered, with sizes ranging from 93 to 250 nm, depending on ascorbyl stearate to tween-80 ratio. However, for biological activity studies, only 102 nm particles were used. In vitro studies found that this formulation markedly decreased vancomycin’s minimum inhibitory concentration values and allowed for its sustained release. Additionally, it enhanced vancomycin’s bactericide kinetics and allowed for a significant death percentage of treated biofilms. Mohammed et al. study, showed that the vancomycin- ascorbyl stearate-lipid nanoparticle system has superior antibiotic delivery capabilities, antibacterial activity, and great potential to improve sepsis treatment outcomes [63].
Additionally, Ji et al. developed a telodendrimer nanocarrier for the delivery of amphotericin B [66]. Amphotericin B is a broad-spectrum antibiotic targeting life threatening fungal infections. Aggregation of this antibiotic results in significant nephrotoxicity while the monomeric version exhibits much lower cytotoxicity [67]. Some clinically approved liposomal formulations of amphotericin B, such as Fungizone [68,69] (sodium deoxycholate micellar formulation) and AmBiosome [70,71] (composed of α-tocopherol, cholesterol, distearoyl phosphatidylglycerol, and phosphatidylcholine), present reduced toxicity but also reduced drug bioavailability, and its efficacy . This study developed a polyethylene glycol (PEG) dendritic telodendrimer nanocarrier platform to control the aggregation of the antibiotic. Dendritic nanoparticles have hydrophilic exteriors and interiors, responsible for their unimolecular micelle nature [72]. The nanoparticles designed ranged in size but remained small (25 to 47 nm). In vitro assays found that maintenance of the monomeric form of the antibiotic could be achieved by the introduction of flexible lipid molecules in the particle structure and that these modifications in the formulation abolished hemolytic effect of the drug even at concentrations of 100 µg/mL. Additionally, antifungal activity was found to be higher, compared to other liposomal formulations, namely Fungizone and AmBiosome. In vivo assays found a sustained drug concentration in blood and a longer half-life (1.64 h) and did not present severe infusion reactions in mice models after injection. Moreover, in a mouse model of C. albicans infection, this telodendrimer nanocarrier showed the most effective antifungal effects, evidenced by lower CFU counts [66].
Alavi et al. evaluated the effects of a PEG coating in a liposome carrier system on the antibacterial effects of nafcillin [73]. This antibiotic is the first-line treatment for methicillin-susceptible S. aureus but its use if often limited due to high cost, need of frequent dose administration and poor tolerability [74,75]. The addition of PEG decreased the nanoparticle size (~240 nm) and resulted in an increased duration of drug release. In vitro assays showed that loading of nafcillin in nanoparticles resulted in an increase in the antibacterial effects by two- and four-fold for liposome alone, and PEG-coated liposome, respectively. Similarly, PEG-coated liposome was superior to nafcillin or liposome particles, against methicillin-susceptible S. aureus biofilms, in vitro and displayed lower cytotoxicity. In vivo studies evaluated mice weight changes and survival upon challenge with methicillin-susceptible S. aureus. PEG-coated liposomes improved animal survival and reduced weight loss, while not eliciting significant liver or kidney toxicity. Overall, the study reported increased efficacy, and reduced toxicity in a PEG-coated liposome nanoformulation of nafcillin [73].

5.2.2. Nanoformulation of antimicrobial peptides

Antimicrobial peptides (AMP) have emerged as a novel promising strategy for multi-drug resistant bacterial infections due to their highly rapid bacteriolytic properties [76]. Whereas conventional antibiotics act on intracellular targets, AMP lytic action is mediated through multiple mechanisms, such as interaction with bacterial membranes, leading to physical damage to the bacterial cells [77]. The fast kinetics derived from multiple synergistic pathways significantly reduced the resistance risk and made AMP a unique alternative against multi-drug-resistant bacterial infections.
Yuk et al. evaluated the efficacy of a nanoparticulate system of PMB against gram-negative bacteria [78]. PMB is a cationic AMP and potent lipopolysaccharide (LPS) adsorbent [79], known to attenuate LPS-induced endotoxemia in mice since 1967 [80]. Despite its potential, PMB exhibits marked nephrotoxicity and neurotoxicity, severely limiting its clinical application [81,82,83]. Yuk et al. aimed to develop a new formulation of this AMP that would enable its safe systemic use in patients with gram-negative sepsis. The nanoparticles carrying PMB comprised a tannic acid/Fe3+ coordination complex, containing vitamin D as a platform and conjugation of PMB on the surface along with low-molecular-weight chitosan [78]. The chitosan allowed for attenuating undesirable contact of PMB with cell membranes without negatively affecting the affinity for LPS. This resulted in an enhanced safety profile that enabled the systemic administration of polymyxin B doses that would have been lethal otherwise. In vivo studies found that the formulation showed maximum efficacy when administered in mice as a mixture with LPS or immediately after LPS [78]. The effectiveness was reduced to 75% and 70% when administered intravenously in mice 2 h after cecal ligation and puncture or LPS challenge, respectively. Accumulation of the nanomaterial in the liver showed no sign of hepatotoxicity, consistent with an improved safety profile. Despite the encouraging results, the authors state that the particle size (~290 nm) hindered its half-time and that future efforts should be made to optimize this parameter.
Falciani et al. have also explored AMP-loaded nanoparticles as inhalation therapy for Pseudomonas aeruginosa infections [84]. The system was formulated with dextran nanoparticles, a biologically derived polymer, as carriers for SET-M33. SET-M33 is a synthetic AMP designed in a branched form that confers resistance to degradation and allows for multivalent binding. It has shown efficacy against multiple gram-negative multidrug-resistant isolates [85] and biofilms [86]. Its effectiveness had been previously established in preclinical infection models, and its safety profile was acceptable. A study describing the SET-M33 mechanism of action demonstrated that after binding to bacterial wall LPS, the peptide interacts with the bacterial membrane, embedding itself, destroying the membrane’s function and, eventually, the bacteria itself [87]. This formulation exhibited very reduced size (18 nm), acceptable aerosol polydispersity with no tendency to aggregate and increased lung residence time in rats than the AMP alone, validating its therapeutic inhalation use [84]. It was also effective against P. aeruginosa infection in mice, with lower cytotoxicity than SET-M33 alone. Dextran polymers are not usually toxic upon intravenous administration in animals, and the mice used in this study did not display any liver or kidney toxicity after treatment.
Van der Weide et al. studied the AMP AA139, derived from the marine lungworm Arenicola marina, against multidrug-resistant Klebsiella pneumoniae [88]. AA139 appears to have a dual mode of action involving the direct binding to membrane phospholipids and interruption of phospholipid transportation pathways, resulting in membrane damage and bacterial cell death [88]. Van der Weide et al. evaluated several nanomedicine formulations, including polymeric nanoparticles and lipid-core micelles. Lipid-core micelles are self-assembling colloidal nanoparticles with a hydrophilic surface and hydrophobic core, where drugs can be entrapped [89]. Both formulations display favorable biocompatibility, nontoxicity, biodistribution, and ease of modification [90,91]. The polymeric nanoparticles used here are dextran-based polymers, with a mean size of 20 nm, attached to AA139 by electrostatic interaction [92]. Lipid-core micelles were engineered with a polyethylene glycosylated distearyl phosphatidyl ethanolamine base and displayed a mean size of 15 nm. The antimicrobial activity of these formulations was assessed by in vitro concentration- and time-dependent bactericidal activity and by in vivo endotracheal aerosolization in rats as a means of direct delivery to the lungs [88]. In vitro activity of both formulations was comparable to free AA139, suggesting that antimicrobial activity was retained despite the nanoparticle conjugation. Biodistribution studies confirmed longer lung residence time with polymeric and lipid-core micelles than AMP alone [88]. Both nanoparticles could be safely administered at a two-fold dose of free AA139. Polymeric nanoparticles displayed a rapid but short-lasting bacterial killing effect, whereas lipid-core micelles showed a slow but sustained effect. These results reflected the difference in biological half-lives between formulations, with polymeric nanoparticles displaying a half-life of roughly 2 h while lipid-core micelles was about 3 h. Additionally, lipid-core micelles significantly improved outcomes when evaluating the efficacy of the formulations by once-daily administration for ten days, with half the dosage required for polymeric nanoparticles [88].

5.2.3. Other antimicrobial nanoformulations

Zhao et al. have described a piezoelectric nanofiber film as an antibacterial implant in gastrointestinal (GI) perforation [93]. GI tract perforation is one of the most common causes of sepsis due to the leakage of GI contents into the abdominal cavity. This facilitates bacteria entry into the circulation and, subsequently, systemic infection [94]. Several alternative strategies for antibacterial therapies have been hypothesized in recent years. According to the authors, most have not considered bacterial extracellular polymeric substances, which remain attached to the bacteria and act as a protective diffusion barrier blocking nanomaterials or drugs [93]. The team speculated that, given that the bacterial extracellular polymeric layer is electrochemically active, the modulation of the electro-microenvironment of the biofilm would allow the conduction of antimicrobial treatment. Surface charges can be generated by piezoelectric materials when mechanical stimulation is applied. Thus, the study evaluated the combination of organic piezoelectric materials with ultrasound stimulation as an effective way to destroy bacterial extracellular polymeric substances and inhibit bacterial proliferation. The piezo implant was composed of poly (vinylidene fluoride-co-trifluoroethylene). It was found to successfully enhance in vitro bactericide efficacy against E. coli biofilms and in vivo inhibition of GI perforation infection in rats [93].
Some recent nanoformulations have focused on targeting inflammation rather than aiming to kill bacteria. One such application was recently developed by Chen et al. [95]. The cytokine storm that follows the initial triggering of PAMPs or DAMPs leads to generalized pyroptosis [96,97]. Usually, pyroptosis plays a positive role in the immunomodulatory process, but when the host is undergoing severe infection, it can be hyperactivated and exacerbate inflammation. Current sepsis treatment strategies are mainly anti-infection, but there remains to be an effective way to prevent sepsis installment or manage multi-organ damage resulting from excessive inflammatory damage. To design a nanoparticle that would inhibit pyroptosis, Chen et al. developed a tetrahedral framework nucleic acid [95]. These novel nanomaterials have been shown to have enhanced cell endocytosis properties and tissue permeability, rendering them suitable for biomedical applications. Previous studies have also demonstrated that these structures exhibit anti-inflammatory and antioxidant capabilities while maintaining a good biosafety profile [98]. The tetrahedral framework nucleic acid were assembled from four single-stranded sequence-specific DNA fragments with a mean size of 17 nm. Chen et al. in vitro and in vivo assays confirmed the protective effect of tetrahedral framework nucleic acids against macrophages under LPS stimulation and their preventive effect on reducing the inflammatory response in septic mice [95]. These results indicate the potential of pyroptosis inhibition in managing sepsis and the usefulness of these formulations.

6. Conclusions and future directions

Nanotechnology is a complex field that has shown great promise in biomedical applications. Nanomaterials can be engineered to yield specific chemical, physical, and surface properties that more adequately achieve the desired biological effect. They can vary significantly in size, shape, composition and overall effect. The use of organic vs inorganic materials greatly impacts biocompatibility, toxicity, immunogenicity, stability, modulation and functionalization process, batch-to-batch variability, and tracking capabilities. Recent advancement on the nanotechnological applications in the field of sepsis have allowed for the development of new diagnosis and treatment strategies. Nanotechnology-based biosensors are small devices that exhibit small surface-to-volume ratios and simple immobilization techniques, allowing them to be more rapid, sensitive, selective, and reproducible. The use of nanoparticles was found to facilitate the quantification of various sepsis biomarkers (CRP, IL-6 and PCT) as well as the detection of both gram-positive and gram-negative bacteria in whole blood samples. Additionally, nanoparticles have allowed for targeted drug delivery, inhibition of biofilms, improvement in local antimicrobial activity and reduced cytotoxicity. They have improved half-life of several drugs, making them more attractive options for clinical use. Nanotechnology has also allowed to take advantage of the extreme antimicrobial potential of AMP while minimizing their adverse effects. Some nanomaterials even possess potent inherent antimicrobial activity, that can be used as a treatment adjuvant for antibiotic resistance.
Despite the positive results and exciting novel approaches, clinical trials fully embracing these developments are still limited. After nearly thirty years of fundamental studies, a solid foundation has been achieved, and a different focus should be selected. It is imperative to prioritize the application of these strategies from bench to bedside, where patients can fully benefit from scientific advancement. Incorporating physicians in teams can help target diagnostic and therapeutic approaches according to the current challenges in clinical practice. Close articulation will allow for the development of biobanks that will enable more precise determination of device reliability and refine the technology for patient use. In that sense, it is also essential to share information and results in a manner that is accessible to everyone that may be interested in the subject. Nanotechnological applications, whether regarding devices or therapeutical approaches, are often presented in very technical formats, ultimately hampering its translation. Accordingly, review papers that aim to simplify the technical components of the technology and highlight the intended use cases and their advantages are key to foster communication and attract more diverse areas of studies to research teams. Altogether, we envision synergistic collaborations as a means to streamline innovative solutions, particularly in the field of nanomedicine.

Author Contributions

I.V.; writing—original draft preparation, review, and editing, T.S.; writing—review and editing; T.S.; supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rudd, K.E.; Johnson, S.C.; Agesa, K.M.; Shackelford, K.A.; Tsoi, D.; Kievlan, D.R.; Colombara, D.V.; Ikuta, K.S.; Kissoon, N.; Finfer, S.; et al. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study. Lancet 2020, 395, 200–211. [Google Scholar] [CrossRef] [PubMed]
  2. Vincent, J.L.; Marshall, J.C.; Namendys-Silva, S.A.; François, B.; Martin-Loeches, I.; Lipman, J.; Reinhart, K.; Antonelli, M.; Pickkers, P.; Njimi, H.; et al. Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit. Lancet Respir Med 2014, 2, 380–386. [Google Scholar] [CrossRef] [PubMed]
  3. Fleischmann, C.; Scherag, A.; Adhikari, N.K.; Hartog, C.S.; Tsaganos, T.; Schlattmann, P.; Angus, D.C.; Reinhart, K. Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations. Am J Respir Crit Care Med 2016, 193, 259–272. [Google Scholar] [CrossRef] [PubMed]
  4. Bone, R.C.; Balk, R.A.; Cerra, F.B.; Dellinger, R.P.; Fein, A.M.; Knaus, W.A.; Schein, R.M.; Sibbald, W.J. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 1992, 101, 1644–1655. [Google Scholar] [CrossRef] [PubMed]
  5. Singer, M.; Deutschman, C.S.; Seymour, C.W.; Shankar-Hari, M.; Annane, D.; Bauer, M.; Bellomo, R.; Bernard, G.R.; Chiche, J.D.; Coopersmith, C.M.; et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016, 315, 801–810. [Google Scholar] [CrossRef]
  6. Iwashyna, T.J.; Cooke, C.R.; Wunsch, H.; Kahn, J.M. Population burden of long-term survivorship after severe sepsis in older Americans. J Am Geriatr Soc 2012, 60, 1070–1077. [Google Scholar] [CrossRef]
  7. Gaieski, D.F.; Edwards, J.M.; Kallan, M.J.; Carr, B.G. Benchmarking the incidence and mortality of severe sepsis in the United States. Crit Care Med 2013, 41, 1167–1174. [Google Scholar] [CrossRef]
  8. Dellinger, R.P.; Levy, M.M.; Rhodes, A.; Annane, D.; Gerlach, H.; Opal, S.M.; Sevransky, J.E.; Sprung, C.L.; Douglas, I.S.; Jaeschke, R.; et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med 2013, 41, 580–637. [Google Scholar] [CrossRef]
  9. Gotts, J.E.; Matthay, M.A. Sepsis: pathophysiology and clinical management. BMJ 2016, 353, i1585. [Google Scholar] [CrossRef]
  10. Kinnear, C.; Moore, T.L.; Rodriguez-Lorenzo, L.; Rothen-Rutishauser, B.; Petri-Fink, A. Form Follows Function: Nanoparticle Shape and Its Implications for Nanomedicine. Chem Rev 2017, 117, 11476–11521. [Google Scholar] [CrossRef]
  11. Pelaz, B.; Alexiou, C.; Alvarez-Puebla, R.A.; Alves, F.; Andrews, A.M.; Ashraf, S.; Balogh, L.P.; Ballerini, L.; Bestetti, A.; Brendel, C.; et al. Diverse Applications of Nanomedicine. ACS Nano 2017, 11, 2313–2381. [Google Scholar] [CrossRef] [PubMed]
  12. Sindhwani, S.; Chan, W.C.W. Nanotechnology for modern medicine: next step towards clinical translation. J Intern Med 2021, 290, 486–498. [Google Scholar] [CrossRef] [PubMed]
  13. Ramesh, M.; Janani, R.; Deepa, C.; Rajeshkumar, L. Nanotechnology-Enabled Biosensors: A Review of Fundamentals, Design Principles, Materials, and Applications. Biosensors (Basel) 2022, 13. [Google Scholar] [CrossRef] [PubMed]
  14. Pant, A.; Mackraj, I.; Govender, T. Advances in sepsis diagnosis and management: a paradigm shift towards nanotechnology. J Biomed Sci 2021, 28, 6. [Google Scholar] [CrossRef] [PubMed]
  15. Al-Hindawi, A.; AlDallal, U.; Waly, Y.M.; Hussain, M.H.; Shelig, M.; Saleh ElMitwalli, O.; Deen, G.R.; Henari, F.Z. An Exploration of Nanoparticle-Based Diagnostic Approaches for Coronaviruses: SARS-CoV-2, SARS-CoV and MERS-CoV. Nanomaterials (Basel) 2022, 12. [Google Scholar] [CrossRef] [PubMed]
  16. Alba-Patiño, A.; Vaquer, A.; Barón, E.; Russell, S.M.; Borges, M.; de la Rica, R. Micro- and nanosensors for detecting blood pathogens and biomarkers at different points of sepsis care. Mikrochim Acta 2022, 189, 74. [Google Scholar] [CrossRef]
  17. Choudhary, R. Sepsis Management, Controversies, and Advancement in Nanotechnology: A Systematic Review. Cureus 2022, 14, e22112. [Google Scholar] [CrossRef] [PubMed]
  18. Cao, C.; Yu, M.; Chai, Y. Pathological alteration and therapeutic implications of sepsis-induced immune cell apoptosis. Cell Death Dis 2019, 10, 782. [Google Scholar] [CrossRef]
  19. Hotchkiss, R.S.; Moldawer, L.L.; Opal, S.M.; Reinhart, K.; Turnbull, I.R.; Vincent, J.L. Sepsis and septic shock. Nat Rev Dis Primers 2016, 2, 16045. [Google Scholar] [CrossRef]
  20. Gentile, L.F.; Cuenca, A.G.; Efron, P.A.; Ang, D.; Bihorac, A.; McKinley, B.A.; Moldawer, L.L.; Moore, F.A. Persistent inflammation and immunosuppression: a common syndrome and new horizon for surgical intensive care. J Trauma Acute Care Surg 2012, 72, 1491–1501. [Google Scholar] [CrossRef]
  21. Nakamura, K.; Ogura, K.; Ohbe, H.; Goto, T. Clinical Criteria for Persistent Inflammation, Immunosuppression, and Catabolism Syndrome: An Exploratory Analysis of Optimal Cut-Off Values for Biomarkers. J Clin Med 2022, 11. [Google Scholar] [CrossRef] [PubMed]
  22. Hawkins, R.B.; Raymond, S.L.; Stortz, J.A.; Horiguchi, H.; Brakenridge, S.C.; Gardner, A.; Efron, P.A.; Bihorac, A.; Segal, M.; Moore, F.A.; et al. Chronic Critical Illness and the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome. Front Immunol 2018, 9, 1511. [Google Scholar] [CrossRef] [PubMed]
  23. Rubartelli, A.; Lotze, M.T. Inside, outside, upside down: damage-associated molecular-pattern molecules (DAMPs) and redox. Trends Immunol 2007, 28, 429–436. [Google Scholar] [CrossRef] [PubMed]
  24. Seymour, C.W.; Liu, V.X.; Iwashyna, T.J.; Brunkhorst, F.M.; Rea, T.D.; Scherag, A.; Rubenfeld, G.; Kahn, J.M.; Shankar-Hari, M.; Singer, M.; et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016, 315, 762–774. [Google Scholar] [CrossRef] [PubMed]
  25. Evans, L.; Rhodes, A.; Alhazzani, W.; Antonelli, M.; Coopersmith, C.M.; French, C.; Machado, F.R.; McIntyre, L.; Ostermann, M.; Prescott, H.C.; et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021. Crit Care Med 2021, 49, e1063–e1143. [Google Scholar] [CrossRef] [PubMed]
  26. Fernando, S.M.; Tran, A.; Taljaard, M.; Cheng, W.; Rochwerg, B.; Seely, A.J.E.; Perry, J.J. Prognostic Accuracy of the Quick Sequential Organ Failure Assessment for Mortality in Patients With Suspected Infection: A Systematic Review and Meta-analysis. Ann Intern Med 2018, 168, 266–275. [Google Scholar] [CrossRef] [PubMed]
  27. Herwanto, V.; Shetty, A.; Nalos, M.; Chakraborty, M.; McLean, A.; Eslick, G.D.; Tang, B. Accuracy of Quick Sequential Organ Failure Assessment Score to Predict Sepsis Mortality in 121 Studies Including 1,716,017 Individuals: A Systematic Review and Meta-Analysis. Crit Care Explor 2019, 1, e0043. [Google Scholar] [CrossRef] [PubMed]
  28. Serafim, R.; Gomes, J.A.; Salluh, J.; Póvoa, P. A Comparison of the Quick-SOFA and Systemic Inflammatory Response Syndrome Criteria for the Diagnosis of Sepsis and Prediction of Mortality: A Systematic Review and Meta-Analysis. Chest 2018, 153, 646–655. [Google Scholar] [CrossRef]
  29. Cinel, I.; Kasapoglu, U.S.; Gul, F.; Dellinger, R.P. The initial resuscitation of septic shock. J Crit Care 2020, 57, 108–117. [Google Scholar] [CrossRef]
  30. Claxton, A.; Papafilippou, L.; Hadjidemetriou, M.; Kostarelos, K.; Dark, P. The challenge of recognising sepsis: Future nanotechnology solutions. J Intensive Care Soc 2020, 21, 241–246. [Google Scholar] [CrossRef]
  31. Phua, J.; Ngerng, W.; See, K.; Tay, C.; Kiong, T.; Lim, H.; Chew, M.; Yip, H.; Tan, A.; Khalizah, H.; et al. Characteristics and outcomes of culture-negative versus culture-positive severe sepsis. Crit Care 2013, 17, R202. [Google Scholar] [CrossRef] [PubMed]
  32. Molnár, Z.; Giamarellos-Bourboulis, E.J.; Kumar, A.; Nierhaus, A. Sepsis: Diagnostic and Therapeutic Challenges. Biomed Res Int 2016, 2016, 5786182. [Google Scholar] [CrossRef] [PubMed]
  33. Alhazzani, W.; Møller, M.H.; Arabi, Y.M.; Loeb, M.; Gong, M.N.; Fan, E.; Oczkowski, S.; Levy, M.M.; Derde, L.; Dzierba, A.; et al. Surviving Sepsis Campaign: Guidelines on the Management of Critically Ill Adults with Coronavirus Disease 2019 (COVID-19). Crit Care Med 2020, 48, e440–e469. [Google Scholar] [CrossRef] [PubMed]
  34. Rhodes, A.; Evans, L.E.; Alhazzani, W.; Levy, M.M.; Antonelli, M.; Ferrer, R.; Kumar, A.; Sevransky, J.E.; Sprung, C.L.; Nunnally, M.E.; et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Intensive Care Med 2017, 43, 304–377. [Google Scholar] [CrossRef] [PubMed]
  35. Avni, T.; Lador, A.; Lev, S.; Leibovici, L.; Paul, M.; Grossman, A. Vasopressors for the Treatment of Septic Shock: Systematic Review and Meta-Analysis. PLoS One 2015, 10, e0129305. [Google Scholar] [CrossRef] [PubMed]
  36. Annane, D.; Renault, A.; Brun-Buisson, C.; Megarbane, B.; Quenot, J.P.; Siami, S.; Cariou, A.; Forceville, X.; Schwebel, C.; Martin, C.; et al. Hydrocortisone plus Fludrocortisone for Adults with Septic Shock. N Engl J Med 2018, 378, 809–818. [Google Scholar] [CrossRef]
  37. Venkatesh, B.; Finfer, S.; Cohen, J.; Rajbhandari, D.; Arabi, Y.; Bellomo, R.; Billot, L.; Correa, M.; Glass, P.; Harward, M.; et al. Adjunctive Glucocorticoid Therapy in Patients with Septic Shock. N Engl J Med 2018, 378, 797–808. [Google Scholar] [CrossRef]
  38. Busani, S.; Roat, E.; Serafini, G.; Mantovani, E.; Biagioni, E.; Girardis, M. The Role of Adjunctive Therapies in Septic Shock by Gram Negative MDR/XDR Infections. Can J Infect Dis Med Microbiol 2017, 2017, 2808203. [Google Scholar] [CrossRef]
  39. Saraiva, C.; Praca, C.; Ferreira, R.; Santos, T.; Ferreira, L.; Bernardino, L. Nanoparticle-mediated brain drug delivery: Overcoming blood-brain barrier to treat neurodegenerative diseases. J Control Release 2016, 235, 34–47. [Google Scholar] [CrossRef]
  40. Albanese, A.; Tang, P.S.; Chan, W.C. The effect of nanoparticle size, shape, and surface chemistry on biological systems. Annu Rev Biomed Eng 2012, 14, 1–16. [Google Scholar] [CrossRef]
  41. Toy, R.; Peiris, P.M.; Ghaghada, K.B.; Karathanasis, E. Shaping cancer nanomedicine: the effect of particle shape on the in vivo journey of nanoparticles. Nanomedicine (Lond) 2014, 9, 121–134. [Google Scholar] [CrossRef] [PubMed]
  42. Rasmussen, M.K.; Pedersen, J.N.; Marie, R. Size and surface charge characterization of nanoparticles with a salt gradient. Nat Commun 2020, 11, 2337. [Google Scholar] [CrossRef] [PubMed]
  43. Kanelidis, I.; Kraus, T. The role of ligands in coinage-metal nanoparticles for electronics. Beilstein J Nanotechnol 2017, 8, 2625–2639. [Google Scholar] [CrossRef] [PubMed]
  44. Pepys, M.B.; Hirschfield, G.M. C-reactive protein: a critical update. J Clin Invest 2003, 111, 1805–1812. [Google Scholar] [CrossRef] [PubMed]
  45. Povoa, P.; Coelho, L.; Almeida, E.; Fernandes, A.; Mealha, R.; Moreira, P.; Sabino, H. C-reactive protein as a marker of infection in critically ill patients. Clin Microbiol Infect 2005, 11, 101–108. [Google Scholar] [CrossRef]
  46. Faridbod, F.; Gupta, V.K.; Zamani, H.A. Electrochemical Sensors and Biosensors. International Journal of Electrochemistry 2011, 2011, 1–2. [Google Scholar] [CrossRef]
  47. Bao, G.; Tang, M.; Zhao, J.; Zhu, X. Nanobody: a promising toolkit for molecular imaging and disease therapy. EJNMMI Res 2021, 11, 6. [Google Scholar] [CrossRef]
  48. Ruppert, C.; Kaiser, L.; Jacob, L.J.; Laufer, S.; Kohl, M.; Deigner, H.P. Duplex Shiny app quantification of the sepsis biomarkers C-reactive protein and interleukin-6 in a fast quantum dot labeled lateral flow assay. J Nanobiotechnology 2020, 18, 130. [Google Scholar] [CrossRef]
  49. Koczula, K.M.; Gallotta, A. Lateral flow assays. Essays Biochem 2016, 60, 111–120. [Google Scholar] [CrossRef]
  50. Liang, Z.; Khawar, M.B.; Liang, J.; Sun, H. Bio-Conjugated Quantum Dots for Cancer Research: Detection and Imaging. Front Oncol 2021, 11, 749970. [Google Scholar] [CrossRef]
  51. Bradley, Z.; Coleman, P.A.; Courtney, M.A.; Fishlock, S.; McGrath, J.; Uniacke-Lowe, T.; Bhalla, N.; McLaughlin, J.A.; Hogan, J.; Hanrahan, J.P.; et al. Effect of Selenium Nanoparticle Size on IL-6 Detection Sensitivity in a Lateral Flow Device. ACS Omega 2023, 8, 8407–8414. [Google Scholar] [CrossRef] [PubMed]
  52. Ang, S.X.; Chen, C.P.; Sun, F.J.; Chen, C.Y. Bio-Functionalized Magnetic Nanoparticles for the Immunoassay of C-Reactive Protein and Procalcitonin in Cervicovaginal Secretions of Pregnant Women with Preterm Prelabor Rupture of Membranes to Predict Early-Onset Neonatal Sepsis. Int J Nanomedicine 2022, 17, 287–297. [Google Scholar] [CrossRef]
  53. Abafogi, A.T.; Wu, T.; Lee, D.; Lee, J.; Cho, G.; Lee, L.P.; Park, S. Vancomycin-conjugated polydopamine-coated magnetic nanoparticles for molecular diagnostics of Gram-positive bacteria in whole blood. J Nanobiotechnology 2022, 20, 400. [Google Scholar] [CrossRef] [PubMed]
  54. Li, J.; Liu, Q.; Wan, Y.; Wu, X.; Yang, Y.; Zhao, R.; Chen, E.; Cheng, X.; Du, M. Rapid detection of trace Salmonella in milk and chicken by immunomagnetic separation in combination with a chemiluminescence microparticle immunoassay. Anal Bioanal Chem 2019, 411, 6067–6080. [Google Scholar] [CrossRef] [PubMed]
  55. Ryu, J.H.; Messersmith, P.B.; Lee, H. Polydopamine Surface Chemistry: A Decade of Discovery. ACS Appl Mater Interfaces 2018, 10, 7523–7540. [Google Scholar] [CrossRef] [PubMed]
  56. Zhao, J.; Li, Y.; Chen, X.; Mu, D.; Zhao, J.; Zhou, S. Sensitive NIR Fluorescence Identification of Bacteria in Whole Blood with Bioorthogonal Nanoprobes for Early Sepsis Diagnosis. Anal Chem 2023, 95, 955–965. [Google Scholar] [CrossRef] [PubMed]
  57. Kankala, R.K.; Lin, W.Z.; Lee, C.H. Combating Antibiotic Resistance through the Synergistic Effects of Mesoporous Silica-Based Hierarchical Nanocomposites. Nanomaterials (Basel) 2020, 10. [Google Scholar] [CrossRef]
  58. Hussain, S.; Joo, J.; Kang, J.; Kim, B.; Braun, G.B.; She, Z.G.; Kim, D.; Mann, A.P.; Mölder, T.; Teesalu, T.; et al. Antibiotic-loaded nanoparticles targeted to the site of infection enhance antibacterial efficacy. Nat Biomed Eng 2018, 2, 95–103. [Google Scholar] [CrossRef]
  59. Wang, L.; Hu, C.; Shao, L. The antimicrobial activity of nanoparticles: present situation and prospects for the future. Int J Nanomedicine 2017, 12, 1227–1249. [Google Scholar] [CrossRef]
  60. Zhu, X.; Radovic-Moreno, A.F.; Wu, J.; Langer, R.; Shi, J. Nanomedicine in the Management of Microbial Infection - Overview and Perspectives. Nano Today 2014, 9, 478–498. [Google Scholar] [CrossRef]
  61. Shaker, M.A.; Shaaban, M.I. Formulation of carbapenems loaded gold nanoparticles to combat multi-antibiotic bacterial resistance: In vitro antibacterial study. Int J Pharm 2017, 525, 71–84. [Google Scholar] [CrossRef] [PubMed]
  62. Bailly, A.L.; Correard, F.; Popov, A.; Tselikov, G.; Chaspoul, F.; Appay, R.; Al-Kattan, A.; Kabashin, A.V.; Braguer, D.; Esteve, M.A. In vivo evaluation of safety, biodistribution and pharmacokinetics of laser-synthesized gold nanoparticles. Sci Rep 2019, 9, 12890. [Google Scholar] [CrossRef] [PubMed]
  63. Mohammed, M.; Ibrahim, U.H.; Aljoundi, A.; Omolo, C.A.; Devnarain, N.; Gafar, M.A.; Mocktar, C.; Govender, T. Enzyme-responsive biomimetic solid lipid nanoparticles for antibiotic delivery against hyaluronidase-secreting bacteria. Int J Pharm 2023, 122967. [Google Scholar] [CrossRef] [PubMed]
  64. Goligorsky, M.S.; Sun, D. Glycocalyx in Endotoxemia and Sepsis. Am J Pathol 2020, 190, 791–798. [Google Scholar] [CrossRef] [PubMed]
  65. Sahonero-Canavesi, D.X.; Zavaleta-Pastor, M.; Martinez-Aguilar, L.; Lopez-Lara, I.M.; Geiger, O. Defining Substrate Specificities for Lipase and Phospholipase Candidates. J Vis Exp 2016. [Google Scholar] [CrossRef]
  66. Ji, X.; Shi, C.; Guo, D.; Yang, X.; Suo, L.; Luo, J. Engineering Telodendrimer Nanocarriers for Monomeric Amphotericin B Delivery. Mol Pharm 2023, 20, 2138–2149. [Google Scholar] [CrossRef]
  67. Fernandez-Garcia, R.; Munoz-Garcia, J.C.; Wallace, M.; Fabian, L.; Gonzalez-Burgos, E.; Gomez-Serranillos, M.P.; Raposo, R.; Bolas-Fernandez, F.; Ballesteros, M.P.; Healy, A.M.; et al. Self-assembling, supramolecular chemistry and pharmacology of amphotericin B: Poly-aggregates, oligomers and monomers. J Control Release 2022, 341, 716–732. [Google Scholar] [CrossRef]
  68. Joly, V.; Farinotti, R.; Saint-Julien, L.; Cheron, M.; Carbon, C.; Yeni, P. In vitro renal toxicity and in vivo therapeutic efficacy in experimental murine cryptococcosis of amphotericin B (Fungizone) associated with Intralipid. Antimicrob Agents Chemother 1994, 38, 177–183. [Google Scholar] [CrossRef]
  69. Barwicz, J.; Christian, S.; Gruda, I. Effects of the aggregation state of amphotericin B on its toxicity to mice. Antimicrob Agents Chemother 1992, 36, 2310–2315. [Google Scholar] [CrossRef]
  70. Hamill, R.J.; Sobel, J.D.; El-Sadr, W.; Johnson, P.C.; Graybill, J.R.; Javaly, K.; Barker, D.E. Comparison of 2 doses of liposomal amphotericin B and conventional amphotericin B deoxycholate for treatment of AIDS-associated acute cryptococcal meningitis: a randomized, double-blind clinical trial of efficacy and safety. Clin Infect Dis 2010, 51, 225–232. [Google Scholar] [CrossRef]
  71. Sachs-Barrable, K.; Lee, S.D.; Wasan, E.K.; Thornton, S.J.; Wasan, K.M. Enhancing drug absorption using lipids: a case study presenting the development and pharmacological evaluation of a novel lipid-based oral amphotericin B formulation for the treatment of systemic fungal infections. Adv Drug Deliv Rev 2008, 60, 692–701. [Google Scholar] [CrossRef]
  72. Abbasi, E.; Aval, S.F.; Akbarzadeh, A.; Milani, M.; Nasrabadi, H.T.; Joo, S.W.; Hanifehpour, Y.; Nejati-Koshki, K.; Pashaei-Asl, R. Dendrimers: synthesis, applications, and properties. Nanoscale Res Lett 2014, 9, 247. [Google Scholar] [CrossRef] [PubMed]
  73. Alavi, S.E.; Koohi Moftakhari Esfahani, M.; Raza, A.; Adelnia, H.; Ebrahimi Shahmabadi, H. PEG-grafted liposomes for enhanced antibacterial and antibiotic activities: An in vivo study. NanoImpact 2022, 25, 100384. [Google Scholar] [CrossRef] [PubMed]
  74. Monogue, M.L.; Ortwine, J.K.; Wei, W.; Eljaaly, K.; Bhavan, K.P. Nafcillin versus cefazolin for the treatment of methicillin-susceptible Staphylococcus aureus bacteremia. J Infect Public Health 2018, 11, 727–731. [Google Scholar] [CrossRef] [PubMed]
  75. Miller, M.A.; Fish, D.N.; Barber, G.R.; Barron, M.A.; Goolsby, T.A.; Moine, P.; Mueller, S.W. A comparison of safety and outcomes with cefazolin versus nafcillin for methicillin-susceptible Staphylococcus aureus bloodstream infections. J Microbiol Immunol Infect 2020, 53, 321–327. [Google Scholar] [CrossRef] [PubMed]
  76. Hollmann, A.; Martinez, M.; Maturana, P.; Semorile, L.C.; Maffia, P.C. Antimicrobial Peptides: Interaction With Model and Biological Membranes and Synergism With Chemical Antibiotics. Front Chem 2018, 6, 204. [Google Scholar] [CrossRef] [PubMed]
  77. Lam, S.J.; O’Brien-Simpson, N.M.; Pantarat, N.; Sulistio, A.; Wong, E.H.; Chen, Y.Y.; Lenzo, J.C.; Holden, J.A.; Blencowe, A.; Reynolds, E.C.; et al. Combating multidrug-resistant Gram-negative bacteria with structurally nanoengineered antimicrobial peptide polymers. Nat Microbiol 2016, 1, 16162. [Google Scholar] [CrossRef] [PubMed]
  78. Yuk, S.A.; Kim, H.; Abutaleb, N.S.; Dieterly, A.M.; Taha, M.S.; Tsifansky, M.D.; Lyle, L.T.; Seleem, M.N.; Yeo, Y. Nanocapsules modify membrane interaction of polymyxin B to enable safe systemic therapy of Gram-negative sepsis. Sci Adv 2021, 7. [Google Scholar] [CrossRef]
  79. Evans, M.E.; Feola, D.J.; Rapp, R.P. Polymyxin B sulfate and colistin: old antibiotics for emerging multiresistant gram-negative bacteria. Ann Pharmacother 1999, 33, 960–967. [Google Scholar] [CrossRef]
  80. Rifkind, D. Prevention by polymyxin B of endotoxin lethality in mice. J Bacteriol 1967, 93, 1463–1464. [Google Scholar] [CrossRef]
  81. Dai, C.; Xiao, X.; Li, J.; Ciccotosto, G.D.; Cappai, R.; Tang, S.; Schneider-Futschik, E.K.; Hoyer, D.; Velkov, T.; Shen, J. Molecular Mechanisms of Neurotoxicity Induced by Polymyxins and Chemoprevention. ACS Chem Neurosci 2019, 10, 120–131. [Google Scholar] [CrossRef] [PubMed]
  82. Falagas, M.E.; Kasiakou, S.K. Toxicity of polymyxins: a systematic review of the evidence from old and recent studies. Crit Care 2006, 10, R27. [Google Scholar] [CrossRef] [PubMed]
  83. Harm, S.; Gabor, F.; Hartmann, J. Low-dose polymyxin: an option for therapy of Gram-negative sepsis. Innate Immun 2016, 22, 274–283. [Google Scholar] [CrossRef] [PubMed]
  84. Falciani, C.; Zevolini, F.; Brunetti, J.; Riolo, G.; Gracia, R.; Marradi, M.; Loinaz, I.; Ziemann, C.; Cossio, U.; Llop, J.; et al. Antimicrobial Peptide-Loaded Nanoparticles as Inhalation Therapy for Pseudomonas aeruginosa Infections. Int J Nanomedicine 2020, 15, 1117–1128. [Google Scholar] [CrossRef] [PubMed]
  85. van der Weide, H.; Vermeulen-de Jongh, D.M.C.; van der Meijden, A.; Boers, S.A.; Kreft, D.; Ten Kate, M.T.; Falciani, C.; Pini, A.; Strandh, M.; Bakker-Woudenberg, I.; et al. Antimicrobial activity of two novel antimicrobial peptides AA139 and SET-M33 against clinically and genotypically diverse Klebsiella pneumoniae isolates with differing antibiotic resistance profiles. Int J Antimicrob Agents 2019, 54, 159–166. [Google Scholar] [CrossRef] [PubMed]
  86. Falciani, C.; Lozzi, L.; Pollini, S.; Luca, V.; Carnicelli, V.; Brunetti, J.; Lelli, B.; Bindi, S.; Scali, S.; Di Giulio, A.; et al. Isomerization of an antimicrobial peptide broadens antimicrobial spectrum to gram-positive bacterial pathogens. PLoS One 2012, 7, e46259. [Google Scholar] [CrossRef]
  87. van der Weide, H.; Brunetti, J.; Pini, A.; Bracci, L.; Ambrosini, C.; Lupetti, P.; Paccagnini, E.; Gentile, M.; Bernini, A.; Niccolai, N.; et al. Investigations into the killing activity of an antimicrobial peptide active against extensively antibiotic-resistant K. pneumon iae and P. aeruginosa. Biochim Biophys Acta Biomembr 2017, 1859, 1796–1804. [Google Scholar] [CrossRef]
  88. van der Weide, H.; Cossio, U.; Gracia, R.; Te Welscher, Y.M.; Ten Kate, M.T.; van der Meijden, A.; Marradi, M.; Ritsema, J.A.S.; Vermeulen-de Jongh, D.M.C.; Storm, G.; et al. Therapeutic Efficacy of Novel Antimicrobial Peptide AA139-Nanomedicines in a Multidrug-Resistant Klebsiella pneumoniae Pneumonia-Septicemia Model in Rats. Antimicrob Agents Chemother 2020, 64. [Google Scholar] [CrossRef]
  89. Torchilin, V.P. Structure and design of polymeric surfactant-based drug delivery systems. J Control Release 2001, 73, 137–172. [Google Scholar] [CrossRef]
  90. Kroger, A.P.P.; Paulusse, J.M.J. Single-chain polymer nanoparticles in controlled drug delivery and targeted imaging. J Control Release 2018, 286, 326–347. [Google Scholar] [CrossRef]
  91. Sawant, R.R.; Torchilin, V.P. Multifunctionality of lipid-core micelles for drug delivery and tumour targeting. Mol Membr Biol 2010, 27, 232–246. [Google Scholar] [CrossRef] [PubMed]
  92. Gracia, R.; Marradi, M.; Cossio, U.; Benito, A.; Perez-San Vicente, A.; Gomez-Vallejo, V.; Grande, H.J.; Llop, J.; Loinaz, I. Synthesis and functionalization of dextran-based single-chain nanoparticles in aqueous media. J Mater Chem B 2017, 5, 1143–1147. [Google Scholar] [CrossRef] [PubMed]
  93. Zhao, X.; Wang, L.Y.; Tang, C.Y.; Li, K.; Huang, Y.H.; Duan, Y.R.; Zhang, S.T.; Ke, K.; Su, B.H.; Yang, W. Electro-microenvironment modulated inhibition of endogenous biofilms by piezo implants for ultrasound-localized intestinal perforation disinfection. Biomaterials 2023, 295, 122055. [Google Scholar] [CrossRef] [PubMed]
  94. Swank, G.M.; Deitch, E.A. Role of the gut in multiple organ failure: bacterial translocation and permeability changes. World J Surg 1996, 20, 411–417. [Google Scholar] [CrossRef] [PubMed]
  95. Chen, X.; He, J.; Xie, Y.; Zhang, T.; Li, S.; Zhao, Y.; Hu, N.; Cai, X. Tetrahedral framework nucleic acid nanomaterials reduce the inflammatory damage in sepsis by inhibiting pyroptosis. Cell Prolif 2023, e13424. [Google Scholar] [CrossRef]
  96. Shi, J.; Zhao, Y.; Wang, K.; Shi, X.; Wang, Y.; Huang, H.; Zhuang, Y.; Cai, T.; Wang, F.; Shao, F. Cleavage of GSDMD by inflammatory caspases determines pyroptotic cell death. Nature 2015, 526, 660–665. [Google Scholar] [CrossRef]
  97. Russo, A.J.; Vasudevan, S.O.; Mendez-Huergo, S.P.; Kumari, P.; Menoret, A.; Duduskar, S.; Wang, C.; Perez Saez, J.M.; Fettis, M.M.; Li, C.; et al. Intracellular immune sensing promotes inflammation via gasdermin D-driven release of a lectin alarmin. Nat Immunol 2021, 22, 154–165. [Google Scholar] [CrossRef]
  98. Zhang, M.; Zhang, X.; Tian, T.; Zhang, Q.; Wen, Y.; Zhu, J.; Xiao, D.; Cui, W.; Lin, Y. Anti-inflammatory activity of curcumin-loaded tetrahedral framework nucleic acids on acute gouty arthritis. Bioact Mater 2022, 8, 368–380. [Google Scholar] [CrossRef]
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