1. Introduction
Adenosine 5’-triphosphate (ATP), adenosine 5’-diphosphate (ADP), and adenosine 5’-monophosphate (AMP), i.e., adenine nucleotides (AN), are crucial molecules in all living organisms. In humans, they have a pivotal role in energy transfer and storage, but also in numerous physiological processes, such as neurotransmission, mechanosensory transduction, vasodilation, as well as cellular signaling, development, and regeneration [
1]. Detection and quantification of AN in biological samples is crucial for monitoring degradation of these phosphorylated compounds and thus evaluating the energy status of organisms [
2]. Adenylate energy charge (AEC), first described by Atkinson [
3] in 1968, serves as a fundamental measure for assessing the energy status of a cell. It is defined by the following equation:
AEC can be affected the catalytic properties of enzymes involved in both catabolic and biosynthetic metabolic pathways, emphasizing its highly regulated nature [
4]. Zhang and Vertes [
5] reported that in healthy cells, AEC typically falls within the range of 0.80 – 0.95. Conversely, an AEC value of 0.5 or below indicates cell death, which can be caused by apoptosis, necrosis, or autophagy [
6,
7]. The determination of AN concentration in human blood and other biological samples (e.g., follicular fluid, seminal plasma) is therefore of immense importance for understanding metabolic or pathological conditions and for monitoring the overall energy status of the human body.
Researchers have found that the energy stored in AN molecule as an indicator of an organism’s overall health and have linked a significant decrease in AEC to pathological conditions and disease. Namely, Coolen et al. [
7] and Aragon Martinez et al. [
2] monitored AN levels, extracted from small volume of human venous blood, to evaluate energy status of erythrocytes. Several studies have examined AN concentrations in rats, highlighting that these concentrations are within a similar range to human AN concentrations [
8,
9,
10].
Besides, Domanski et al. [
11] and Marlewski et al. [
9] indicated higher values of ATP in human red blood cells of patients with chronic renal failure, which can be explained with the accelerated nucleotide synthesis in uremic erythrocytes. Therefore, uremic erythrocytes are classified as hypermetabolic cells [
12,
13]. Zhang et al. [
14] conducted a study on a several tumor cell cultures and showed that AN concentrations are higher in tumor cell lines in comparison to the normal cells which indicated abnormal metabolism of nucleotides in tumor cells. Ledderose et al. [
15] showed that AN levels are lower in children than in adults because of increased activity of the enzyme responsible for their breakdown. This deficiency reduces the effectiveness of neutrophils and macrophages in immune response, making children more prone to bacterial infections.
The quantitative analysis of adenine nucleotides and the determination of AEC in living organisms have extended their purpose beyond mere organism health monitoring. Previous studies have underscored the significance of AEC levels as a physiological measure of environmental stress and health index. It can be used to assess environmental conditions of local rivers [
16], contaminated forest soils [
17], oil polluted seas [
18], for monitoring the organismal environmental adaptation [
19], assessing the effects of global climate changes [
20], and various other ecological niches.
Previous studies [
2,
7,
9,
11,
15], focusing on AN analysis extracted from human blood typically required large volumes (up to 8 mL) of venous blood samples stored in EDTA-containing vacutainer tubes to prevent blood clotting. However, it was discovered that anticoagulants promote faster ATP hydrolysis which can interfere with downstream measurements, leading to unreliable results [
21]. The analysis of AN from small (microliter) amounts of capillary blood would therefore eliminate the need for sample storage and the use of anticoagulants. The most widespread method for blood AN analysis is high performance liquid chromatography (HPLC) [
7,
8,
11,
22,
23,
24,
25] which enables simultaneous quantification of all AN in a single run, unlike other known methods, like bioluminescent ATP assay, which is limited to measurement of ATP only [
26,
27]. Furthermore, a study conducted by Yeung et al. [
8] reported difficulties while measuring the purine nucleotide concentrations from red blood cells due to interference from biomolecules and various cell metabolites. Since biological samples contain high level of proteins and other metabolites which could hinder detection and quantification of AN [
8,
28], proper sample preparation prior HPLC analysis is essential. The preparation starts with sample quenching to suppress enzymatic processes which could alter AN concentrations [
29]. The most efficient methods include protein precipitation with strong acid, such as perchloric acid (PCA) or trichloroacetic acid (TCA), which halt all phosphatase activity that could dephosphorylate AN [
30,
31,
32]. Neutralization step that follows includes acid removal via precipitation for PCA [
33], while TCA requires further liquid-liquid extraction which can lead to unwanted analyte alterations and lower recovery rate [
34,
35]. Furthermore, purification during sample preparation represents an essential step for the removal of other polar metabolites which could interfere with the detection and quantification of AN. In this context, solid phase extraction (SPE), a commonly used technique for isolation and concentration of analytes, can contribute to increasing sensitivity by reducing complexity of the sample [
21]. Moreover, recent advancements in automated micro-solid phase extraction (µ-SPE) procedures can overcome problems associated with manual SPE, like low reproducibility and recovery rates. On top of that, smaller column diameters ensure smaller inlet and outlet void volumes that enable quantitative purification of low analyte volumes, require smaller amount of solvents and result in overall higher efficiency of extraction [
36]. Previous research reported SPE approach in purification of different nucleotides using different stationary phases. Common approaches utilize reverse-phase chromatography, using Strata-X [
28,
37], or Sep-Pak C18 SPE cartridges [
36]. Affinity chromatography using boronate [
16] or phenyl-boronate [
38] stationary phase was also reported for environmental samples. Moreover, ion-exchange was proven successful for nucleotide purification and separation, especially anion exchange chromatography [
29,
39], which uses a positively charged stationary phase with which the negatively charged nucleotides interact [
40]. All of the above mentioned SPE methods need thorough adjustments to provide good results for each sample type, and usually only work as fractionation methods dividing analyzed nucleotides in several fractions for further analysis. This creates a need for a simple protocol which could purify AN samples in one step and in that way decrease the overall analysis time.
In the presented work, we introduce a novel methodological study for the rapid and accurate extraction, identification, and quantification of AN from human blood. We introduce an optimized automated μ-SPE method using activated carbon as stationary phase which enables fast and reproducible purification of AN. Subsequently, presented extraction and quantification method was validated with respect to linearity range, selectivity, inter-day, and intra-day precision, LOD, LOQ, recovery, and stability. By providing robust methods for purification, identification, and quantification of AN applicable for wide range of biological samples, our study contributes to a deeper understanding of ecological, metabolic, and pathological conditions.
Author Contributions
Conceptualization, I.P., L.D. and M.C.; methodology, I.P., L.D. and M.C.; validation, I.P. and L.D.; formal analysis, I.P.; investigation, I.P.; resources, M.C.; data curation, I.P.; writing—original draft preparation, I.P., L.D., R.B., K.K., M.B., M.M., M.C.; writing—review and editing, I.P., L.D., R.B., K.K., M.B., M.M., M.C.; visualization, I.P., L.D., R.B., K.K., M.M.; supervision, M.B., M.C.; project administration, M.C.; funding acquisition, M.C. All authors have read and agreed to the published version of the manuscript.