Low Molecular Weight Metabolites Research Articles

Functional properties and safety traits of L. rhamnosus and L. reuteri postbiotic extracts

Postbiotics are the non-viable bacterial products or the low molecular weight metabolites produced by probiotics that have received considerable attention owing to their health promoting effects. The present study aimed to investigate the safety and antibacterial properties of postbiotic components of Lacticaseibacillus rhamnosus (Lra) and Limosilactobacillus reuteri (Lre) for their potential applications in food products. The freeze dried postbiotic metabolites (FD-P) from Lra and Lre were extensively analyzed for their physico-chemical properties and antibacterial actions against common food borne pathogens. Higher levels of total flavonoids (1971.79 ± 20 mg Qu/ g), total short-chain fatty acid (23 µg/g), sugar contents, CAT, and SOD anti-oxidative enzymes were detected in the Lra postbiotic, while GSH-px levels and riboflavin were higher in Lre postbiotics (P < 0.01). No significant differences were recorded in the total phenolic (2501 and 2518 mg GAE/ L) and crude protein contents (305. 58 and 296.23 µg/g) of the postbiotics (p ≥ 0.05), respectively. Both FD-P samples showed enhanced activities against Gram-Positive pathogens compared to Gram-Negative pathogens (p < 0.05), while combining the two postbiotics further potentiated the antibacterial actions. Both FD-P samples were non-hemolytic to human erythrocyte cells, and exhibited low cytotoxicity in MRC 5 and IPEC-J2 cell lines at the highest used concentrations (150 mg/ml). In summary, the postbiotics derived from Lra and Lre are safe bioactive ingredients with enhanced antibacterial and antioxidant capabilities, having potential applications as a natural preservatives in food system, potentially enhancing safety and extending the shelf life of food products.

Myricetin-loaded SBA-15 silica nanoparticles for enhanced management of pyrexia, pain, and inflammation through modulation of MAPK/NF-κB and COX-2/PGE-2 pathways: Evidence from the biochemical, histological, and metabolomic analysis

Myricetin (MYR) is a natural flavonoid that has several biological functions. However, some of its beneficial effects are diminished due to low water solubility, stability, and bioavailability. Herein, several kinds of silica nanoparticles (MCM-41 and SBA-15) were loaded with MYR to improve its biological activity as an analgesic, antipyretic, and anti-inflammatory component, thereby overcoming its drawbacks. The nanoparticles (MYR@SBA-15) were formulated optimally, transforming MYR into an amorphous state. This transformation was confirmed via several strategies, including differential scanning calorimetry, Fourier transform infrared spectroscopy, and powder x-ray diffraction. As a result, there was a significant enhancement in the solubility and rate of dissolution in water. The anti-inflammatory benefits as an innovative strategy and the underlying mechanism of action of MYR and its SBA-15 silica nanoparticles (MYR@SBA-15) were investigated based on the biochemical, histological, immunohistochemical, and metabolomic assays alongside their antipyretic and analgesic characteristics. Compared to the usage of raw MYR, the administration of MYR@SBA-15 at doses of 25, 50, and 100 mg/kg significantly decreases pain perception by inhibiting the body’s writhing motions induced by acetic acid. Furthermore, it helps regulate increased body temperature caused by baking yeast and effectively stabilizes it. It reduces the release of NO and PGE-2 in a concentration-dependent manner by down-regulating iNOS and COX-2 expression in the inflammatory model. MYR and MYR@SBA-15 also inhibit the nuclear translocation of NF-κB, downregulate the expression of mitogen-activated protein kinases (MAPKs), such as p38, ERK1/2, and JNK protein, and reduce the generation of proinflammatory cytokines, such as TNF-α. In addition, inflammatory cardinal signs like paw edema caused by carrageenan in rats are greatly suppressed by MYR and MYR@SBA-15 treatment when compared to the untreated group. More noteworthy outcomes are shown in the MYR@SBA-15, particularly at a dose of 100 mg/kg. These results of biochemical and immuno-histochemistry suggest that MYR@SBA-15 may be a useful analgesic antipyretic and may also help reduce inflammation by altering MAPKs/NF-κB and COX-2/PGE-2 signaling cascades. Serum metabolomics study demonstrated modifications in various low molecular weight metabolites with arthritis development. These metabolite levels were restored to normal when MYR@SBA-15 was administered via modulating several metabolic pathways, i.e., pyrimidine, energy metabolism, and proteins. Overall, MYR-loaded SBA-15 silica nanoparticles have demonstrated significant promise in enhancing the disturbed metaboloic pathways and providing a substantial capacity to regulate several oxidative stress and inflammatory mediators.

Seasonal Controls on Microbial Depolymerization and Oxidation of Organic Matter in Floodplain Soils.

Floodplain soils are vast reservoirs of organic carbon often attributed to anaerobic conditions that impose metabolic constraints on organic matter degradation. What remains elusive is how such metabolic constraints respond to dynamic flooding and drainage cycles characteristic of floodplain soils. Here we show that microbial depolymerization and respiration of organic compounds, two rate-limiting steps in decomposition, vary spatially and temporally with seasonal flooding of mountainous floodplain soils (Gothic, Colorado, USA). Combining metabolomics and -proteomics, we found a lower abundance of oxidative enzymes during flooding coincided with the accumulation of aromatic, high-molecular weight compounds, particularly in surface soils. In subsurface soils, we found that a lower oxidation state of carbon coincided with a greater abundance of chemically reduced, energetically less favorable low-molecular weight metabolites, irrespective of flooding condition. Our results suggest that seasonal flooding temporarily constrains oxidative depolymerization of larger, potentially plant-derived compounds in surface soils; in contrast, energetic constraints on microbial respiration persist in more reducing subsurface soils regardless of flooding. Our work underscores that the potential vulnerability of these distinct anaerobic carbon storage mechanisms to changing flooding dynamics should be considered, particularly as climate change shifts both the frequency and extent of flooding in floodplains globally.

Poprhyrinoids Based Sensors for Volatilomics

Metabolomics can be defined as the systematic study of the unique chemical fingerprints that specific cellular and physiological processes leave behind. For the scope, it encompasses a set of analytical methods to detect low molecular weight metabolites in biological samples that are linked to specific health or disease conditions. The collections of compounds form the so-called metabolic profiles usually containing hundreds of different compounds. Ultimately, metabolomics studies are aimed at finding the alteration of the metabolic profile due to specific conditions or diverse pathologies from cancer, to infective diseases.The volatilomics is the case of metabolomics concerned with the small metabolites that are volatile or semi-volatile. The human volatilome can be studied in different human samples such as breath, skin, urines, saliva, and feces.The study of volatile compounds is an important topic of analytical chemistry. Thus, several analytical instruments and methods are available for the investigation of the volatilome5. In general, the scope of the analysis is the detection of the quality and the quantity of the molecules contained in a sample. To achieve this scope these instruments are made by a step of separation and a detector.Analytical machines are generally bulky, costly, and they require specialized staff to be operated and to interpret the data. For these reasons, volatilomics is greatly fascinated by the possibility to replace the analytical machines with sensors. Sensors are devices small enough to be directly connected to electronic platforms.In sensors the separation stage of the analytical instruments is replaced by the affinity of the sensor respect to the molecules composing the sample. however, differently form mass spectrometers. sensors always produce a signal that is related to the totality of the molecules at which it is exposed. Thus, sensors may be selective, when the affinity towards one molecular species overcome the affinity towards all the others, or non-selective when the affinities are comparable. Thus, in principle to replace a GC, an ensemble of sensors each selective to a different species is necessary.The development of sensors for volatilomics found an unexpected inspiration from nature, and more specifically, from olfaction. One of the most striking characteristics of olfaction is the capability to sense many different odors with a limited set of different receptors. It has been surmised that human, with only 388 different receptors, can detect more than one trillion of odor stimuli. The principle of odor identification in olfaction is ruled by the so-called combinatorial selectivity. since a single compound may be sensed by more receptors and more receptors may sense the same compound, the identification of an odor is accomplished by the pattern of responses of the whole set of receptors.Porphyrinoids have been found to be an exceptional material for electronic noses because theie molecular structure made of modular blocks such as the central metal atom, the aromatic ring, and the peripheral motifs can be modified giving rise to a large variety of sensitivity patterns.Porphyrins have been extensivelly used in volatilomics, in the first implementation, as the functional layer of quartz microbalances. In 2003 an array made of porphyrins and corroles demonstrated that lung cancer could be diagnosed from the analysis of breath. This first evidence was followed by other applications aimed at diagnosis tuberculosisfrom breath, lung cancerand kidney cancerfrom urines and COVID-19 from serum. Additionally, these sensors were used to study malariaand stem cellsproliferation in murine models.Recently, quartz microbalance sensors were challenged by the possibility to develop porphyrins-based impedance sensors. The introduction of these sensors is expected to reduce the costs of production and to result into more simple and widely usable devices. For instance, a capacitive sensor array made of porphyrinoids coated silica particles was used to detect COVID-19 from the VOCs released by serum, and Porphyrins-doped PEDOT was implemented in facemasksand used to diagnose chronic kidney diseases.In the presentation, the rationale of these developments will be presented, and somne noteworthy case studies will be discussed.

Investigating the Link between Intermediate Metabolism, Sexual Dimorphism, and Cardiac Autonomic Dysfunction in Patients with Type 1 Diabetes.

Sexual dimorphism influences cardiovascular outcomes in type 1 diabetes (T1D), with women facing a higher relative risk of macrovascular events compared to men, especially after menopause. This study hypothesizes that abnormalities in intermediate metabolism may be associated with cardiac autonomic neuropathy (CAN) in T1D. We aim to assess low molecular weight metabolites (LMWM) as markers of CAN in T1D, considering the effects of sexual dimorphism and age. In this cross-sectional study, we included 323 subjects with T1D (147 women and 176 men), with a mean age of 41 ± 13 years. A total of 44 women and 41 men were over 50 years old. CAN was assessed using Ewing's tests, and serum metabolites were analyzed by proton nuclear magnetic resonance spectroscopy (1H-NMR). Patients with CAN had lower levels of valine, isoleucine, and threonine, and higher levels of lactate, compared to those without CAN. These differences persisted after adjusting for BMI and estimated glucose disposal rate (eGDR). In a logistic regression model (R² = 0.178, p < 0.001), the main determinants of CAN included isoleucine [Exp(β) = 0.972 (95% CI 0.952; 0.003)], age [Exp(β) = 1.031 (95% CI 1.010; 1.053)], A1c [Exp(β) = 1.361 (95% CI 1.058; 1.752)], and microangiopathy [Exp(β) = 2.560 (95% CI 1.372; 4.778)]. Sex influenced LMWM profiles, with over half of the metabolites differing between men and women. However, no interactions were found between CAN and sex, or between sex, age, and CAN, on metabolomics profiles. Our findings suggest an association between CAN and LMWM levels in T1D. The sexual dimorphism observed in amino acid metabolites was unaffected by the presence of CAN.

ИЗМЕНЕНИЯ БИОХИМИЧЕСКИХ ПОКАЗАТЕЛЕЙ КРОВИ У КРЫС ЛИНИИ WISTAR ПОСЛЕ ИМПЛАНТАЦИИ ФРАГМЕНТОВ СОСУДИСТЫХ ПРОТЕЗОВ

Background. This article deals with the use of biological vascular grafts made from bovine xenopericardium as a plastic material for reconstructive operations on the great vessels, which is one of the most important topics in modern vascular surgery. Aim. To compare changes in blood biochemical parameters in Wistar rats after implantation of fragments of biological and synthetic vascular grafts. Material and methods. The experimental study was performed on male laboratory Wistar rats (n = 50). The animals were divided into two groups: group 1 included 25 animals with implantation of a Dacron vascular graft; group 2 was composed of 25 animals with implantation of a vascular graft made from bovine xenopericardium. Blood samples from the laboratory rats were collected on days 3, 7, 14, 21 and 30 after the operation. Plasma urea, creatinine, alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase and lactate dehydrogenase levels were measured. Results. No clinically significant changes in concentrations of low molecular weight metabolites of nitrogen metabolism or liver enzymes activity, alkaline phosphatase and lactate dehydrogenase activity were observed after implantation of a biological vascular graft from bovine xenopericardium compared to the animals with implanted synthetic vascular graft. Conclusion. The use of a biological vascular graft made from bovine xenopericardium does not cause clinically significant changes in blood biochemical parameters in laboratory rats.

The use of omics technologies in creating LBP and postbiotics based on the Limosilactobacillus fermentum U-21.

In recent years, there has been an increasing tendency to create drugs based on certain commensal bacteria of the human microbiota and their ingredients, primarily focusing on live biotherapeutics (LBPs) and postbiotics. The creation of such drugs, termed pharmacobiotics, necessitates an understanding of their mechanisms of action and the identification of pharmacologically active ingredients that determine their target properties. Typically, these are complexes of biologically active substances synthesized by specific strains, promoted as LBPs or postbiotics (including vesicles): proteins, enzymes, low molecular weight metabolites, small RNAs, etc. This study employs omics technologies, including genomics, proteomics, and metabolomics, to explore the potential of Limosilactobacillus fermentum U-21 for innovative LBP and postbiotic formulations targeting neuroinflammatory processes. Proteomic techniques identified and quantified proteins expressed by L. fermentum U-21, highlighting their functional attributes and potential applications. Key identified proteins include ATP-dependent Clp protease (ClpL), chaperone protein DnaK, protein GrpE, thioredoxin reductase, LysM peptidoglycan-binding domain-containing protein, and NlpC/P60 domain-containing protein, which have roles in disaggregase, antioxidant, and immunomodulatory activities. Metabolomic analysis provided insights into small-molecule metabolites produced during fermentation, revealing compounds with anti-neuroinflammatory activity. Significant metabolites produced by L. fermentum U-21 include GABA (γ-aminobutyric acid), niacin, aucubin, and scyllo-inositol. GABA was found to stabilize neuronal activity, potentially counteracting neurodegenerative processes. Niacin, essential for optimal nervous system function, was detected in vesicles and culture fluid, and it modulates cytokine production, maintaining immune homeostasis. Aucubin, an iridoid glycoside usually secreted by plants, was identified as having antioxidant properties, addressing issues of bioavailability for therapeutic use. Scyllo-inositol, identified in vesicles, acts as a chemical chaperone, reducing abnormal protein clumps linked to neurodegenerative diseases. These findings demonstrate the capability of L. fermentum U-21 to produce bioactive substances that could be harnessed in the development of pharmacobiotics for neurodegenerative diseases, contributing to their immunomodulatory, anti-neuroinflammatory, and neuromodulatory activities. Data of the HPLC-MS/MS analysis are available via ProteomeXchange with identifier PXD050857.

Alterations of the peptidomic composition of peripheral plasma after portal hypertension correction by transjugular intrahepatic portosystemic shunt

Portal hypertension develops in patients with advanced chronic liver diseases (CLD), especially cirrhosis and is associated with complications, such as gastrointestinal bleeding and ascites resulting in high mortality. The transjugular intrahepatic portosystemic shunt (TIPS) is a treatment option for portal hypertension, aiming to decrease portal venous pressure by establishing an artificial passage for blood from the gastrointestinal tract to the liver vein. This study focuses on the differences in the molecular composition of plasma samples from patients with portal hypertension before and after TIPS intervention to identify and characterise potential mediators influencing gut-liver cross-talk. The plasma of 23 patients displaying advanced CLD with portal hypertension was collected from peripheral veins before and after TIPS treatment and analysed using a well-established non-targeted chromatography-mass spectrometric (LC-MS) approach. Sialomucin core protein 24(CD164)(160–180), meckelin(99-118), Histone-lysine N-methyltransferase(MLL3)(3019-3045) and transient receptor potential cation channel subfamily V member 5(TRPV5)(614-630) were identified to be downregulated after the TIPS treatment. In addition, the metabolites 3-carboxy-4-methyl-5-propyl-2-furanpropionic acid (CMPF), uric acid, dopamine, homoarginine, leucylproline and 5-methyluridine were significantly decreased after TIPS, whereas one yet unidentified low molecular-weight metabolite showed an increase after the medical procedure. In conclusion, these substances are novel potential biomarkers for portal hypertension in patients with CLD, with mechanistic clues of involvement in regulating pathological gut-liver cross-talk.

Probing the alterations in mice cecal content due to high-fat diet

The global prevalence of obesity more than doubled between 1990 and 2022. By 2022, 2.5 billion adults aged 18 and older were overweight, with over 890 million of them living with obesity. The urgent need for understanding the impact of high-fat diet, together with the demanding of analytical methods with low energy/chemicals consumption, can be fulfilled by rapid, high-throughput spectroscopic techniques.To understand the impact of high-fat diet on the metabolic signatures of mouse cecal contents, we characterized metabolite variations in two diet-groups (standard vs high-fat diet) using FTIR spectroscopy and multivariate analysis. Their cecal content showed distinct spectral features corresponding to high- and low-molecular-weight metabolites. Further quantification of 13 low-molecular-weight metabolites using liquid chromatography showed significant reduction in the production of short chain fatty acids and amino acids associated with high-fat diet samples. These findings demonstrated the potential of spectroscopy to follow changes in gut metabolites.

Phytotoxicity of Dactylonectria spp. exudates on kiwifruit vine and profile of secondary metabolites for understanding their relationship with the host plant

Kiwifruit vine decline syndrome (KVDS), which is responsible for a progressive decline in yields in Italy, is linked to a non-specific reduction in root development, the biotic or abiotic causes of which are still unclear. Dactylonectria is one of the most common soil-borne fungi associated with kiwifruit vines, However, its role in KVDS has not yet been clarified; therefore, Dactylonectria functional relationship with kiwifruit vine at rhizosphere level was investigated focusing solely on its exudates. Six isolates, four from kiwifruit-bearing soils belonging to D. torresensis. D. ecuadoriensis, D. novozelandica and D. pauciseptata, and two D. torresensis from a virgin soil, was tested for phytotoxicity of exudates by growing kiwifruit in vitro plants on MS media amended at 50% with sterile fungal filtrates. Parallelly, low molecular weight (LMW) metabolic profile of fungal filtrates was evaluated with untargeted metabolomics approach using LC-MS/TOF. The fungal isolates from kiwifruit bearing soil were much richer in LMW metabolites than those from virgin soil. Non host specific mycotoxins such as Aflaxoxin B2, Alternariol and Alterlactone were found in these isolates along with a number of metabolites most of which were characterised by antimicrobial properties. D. torresensis isolates were clearly discriminated from the other three species based on metabolic profile. A negative Pearson correlation between the growth index of kiwifruit vitro-plants and LMW metabolite count per isolate (richness) showed that the latter were associated with phytotoxicity, but the degree of correlation (r = −0.639) indicated that they were not the only component responsible. The results suggest that kiwifruit vines may alter the composition of the Dactylonectria spp. community in the root zone, which in turn may directly or indirectly contribute to kiwifruit vine decline syndrome.

In vitro simulated saliva, gastric, and intestinal digestion followed by faecal fermentation reveals a potential modulatory activity of Epimedium on human gut microbiota

Herba Epimedii, known for its rich array of bioactive ingredients and widespread use in ethnopharmacological practices, still lacks a comprehensive understanding of its gastrointestinal biotransformation. In this study, we qualitatively explored the dynamic changes in Epimedium sagittatum components during in vitro simulated digestions, with a quantitative focus on its five major flavonoids. Notably, significant metabolism of E. sagittatum constituents occurred in the simulated small intestinal fluid and colonic fermentation stages, yielding various low molecular weight metabolites. Flavonoids like kaempferol glycosides were fully metabolized in the simulated intestinal fluid, while hyperoside digestion occurred during simulated colon digestion. Colonic fermentation led to the production of two known bioactive isoflavones, genistein, and daidzein. The content and bioaccessibility of the five major epimedium flavonoids—icariin, epimedin A, epimedin B, epimedin C, and baohuoside I—significantly increased after intestinal digestion. During colon fermentation, these components gradually decreased but remained incompletely metabolized after 72 h. Faecal samples after E. sagittatum fermentation exhibited shift towards dominance by Lactobacillus (Firmicutes), Bifidobacterium (Actinobacteria), Streptococcus (Firmicutes), and Dialister (Firmicutes). These findings enhance our comprehension of diverse stages of Herba Epimedii constituents in the gut, suggesting that the primary constituents become bioaccessible in the colon, where new bioactive compounds may emerge.

Soil metabolomics - current challenges and future perspectives

Soil is an extremely complex and dynamic matrix, in part, due to the wide diversity of organisms living within it. Soil organic matter (SOM) is the fundamental substrate on which the delivery of ecosystem services depends, providing the metabolic fuel to drive soil function. As such, studying the soil metabolome (the diversity and concentration of low molecular weight metabolites), as a subset of SOM, holds the potential to greatly expand our understanding of the behaviour, fate, interaction and functional significance of small organic molecules in soil. Encompassing a wide range of chemical classes (including amino acids, peptides, lipids and carbohydrates) and a large number of individual molecules (ca. n = 105 to 106), the metabolome is a resultant (indirect) output of several layers of a biological hierarchy, namely the metagenome, metatranscriptome and metaproteome. As such, it may also provide support and validation for these “multi-omics” datasets. We present a case for the increased use of untargeted metabolomics in soil biochemistry, particularly for furthering our fundamental understanding of the functions driving SOM composition and biogeochemical cycling. Further, we discuss the scale of the challenge in terms of metabolite extraction, analysis and interpretation in complex plant-soil-microbial systems. Lastly, we highlight key knowledge gaps which currently limit our use of metabolomic approaches to better understand soil processes, including: (i) interpretation of large untargeted metabolomic datasets; (ii) the source, emission and fate of soil-derived volatile organic compounds (VOCs), (iii) assessing temporal fluxes of metabolites, and (iv) monitoring ecological interactions in the rhizosphere. While the application of metabolomics in ecosystem science is still in its relative infancy, its importance in understanding the biochemical system in relation to regulation, management and underpinning the delivery of ecosystem services is key to further elucidating the complex links between organisms, as well as the fundamental ability of the biological community to process and cycle key nutrients.

Metabolic profiling of bacteria with the application of polypyrrole-MOF SPME fibers and plasmonic nanostructured LDI-MS substrates

Here we present application of innovative lab-made analytical devices such as plasmonic silver nanostructured substrates and polypyrrole-MOF solid-phase microextraction fibers for metabolic profiling of bacteria. For the first time, comprehensive metabolic profiling of both volatile and non-volatile low-molecular weight compounds in eight bacterial strains was carried out with utilization of lab-made devices. Profiles of low molecular weight metabolites were analyzed for similarities and differences using principal component analysis, hierarchical cluster analysis and random forest algorithm. The results showed clear differentiation between Gram positive (G+) and Gram negative (G−) species which were identified as distinct clusters according to their volatile metabolites. In case of non-volatile metabolites, differentiation between G+ and G− species and clustering for all eight species were observed for the chloroform fraction of the Bligh & Dyer extract, while methanolic fraction failed to recover specific ions in the profile. Furthermore, the results showed correlation between volatile and non-volatile metabolites, which suggests that lab-made devices presented in the current study might be complementary and therefore, useful for species differentiation and gaining insights into bacterial metabolic pathways.

Simultaneous determination of multiple urine biomarkers for kidney injury using SPE combined with LC-MS/MS

Background and ObjectivesUrinary biomarkers such as low molecular weight proteins and small molecular weight metabolites are crucial in the diagnosis of kidney injury. The objective of this study was to develop and preliminarily validate a sensitive and specific method using solid-phase extraction (SPE) in conjunction with liquid chromatography–tandem mass spectrometry (LC-MS/MS) for the simultaneous measurement of these biomarkers in human urine. MethodThis study presents the development of a solid-phase extraction method integrated with LC-MS/MS analyzing biomarkers including creatinine, urea, β2-microglobulin, α1-microglobulin, and cystatin C in human urine. An enhanced solid-phase cartridge technique was employed for peptide purification and dilution of small molecule metabolites during sample preparation. ResultsThe developed LC-MS/MS method achieved satisfactory separation of the five analytes within 15 min. Accuracy levels ranged from −8.6% to 13.6%. Both intra-assay and inter-assay imprecision rates were maintained below 7.9% for all analytes. ConclusionsThe established LC-MS/MS method effectively quantifies creatinine, urea, β2-microglobulin, α1-microglobulin and cystatin C concurrently. This offers a viable alternative for the detection of kidney injury biomarkers in human urine, demonstrating potential for clinical application in kidney injury diagnosis.

Advancing athletic assessment by integrating conventional methods with cutting-edge biomedical technologies for comprehensive performance, wellness, and longevity insights.

In modern athlete assessment, the integration of conventional biochemical and ergophysiologic monitoring with innovative methods like telomere analysis, genotyping/phenotypic profiling, and metabolomics has the potential to offer a comprehensive understanding of athletes' performance and potential longevity. Telomeres provide insights into cellular functioning, aging, and adaptation and elucidate the effects of training on cellular health. Genotype/phenotype analysis explores genetic variations associated with athletic performance, injury predisposition, and recovery needs, enabling personalization of training plans and interventions. Metabolomics especially focusing on low-molecular weight metabolites, reveal metabolic pathways and responses to exercise. Biochemical tests assess key biomarkers related to energy metabolism, inflammation, and recovery. Essential elements depict the micronutrient status of the individual, which is critical for optimal performance. Echocardiography provides detailed monitoring of cardiac structure and function, while burnout testing evaluates psychological stress, fatigue, and readiness for optimal performance. By integrating this scientific testing battery, a multidimensional understanding of athlete health status can be achieved, leading to personalized interventions in training, nutrition, supplementation, injury prevention, and mental wellness support. This scientifically rigorous approach hereby presented holds significant potential for improving athletic performance and longevity through evidence-based, individualized interventions, contributing to advances in the field of sports performance optimization.

Metabolome analysis reveals that cyclic adenosine diphosphate ribose contributes to the regulation of differentiation in mice adipocyte.

Adipocytes play a key role in energy storage and homeostasis. Although the role of transcription factors in adipocyte differentiation is known, the effect of endogenous metabolites of low molecular weight remains unclear. Here, we analyzed time-dependent changes in the levels of these metabolites throughout adipocyte differentiation, using metabolome analysis, and demonstrated that there is a positive correlation between cyclic adenosine diphosphate ribose (cADPR) and Pparγ mRNA expression used as a marker of differentiation. We also found that the treatment of C3H10T1/2 adipocytes with cADPR increased the mRNA expression of those marker genes and the accumulation of triglycerides. Furthermore, inhibition of ryanodine receptors (RyR), which are activated by cADPR, caused a significant reduction in mRNA expression levels of the marker genes and triglyceride accumulation in adipocytes. Our findings show that cADPR accelerates adipocytic differentiation via RyR pathway.

Measurement of very low-molecular weight metabolites by traveling wave ion mobility and its use in human urine samples

The collision cross-sections (CCS) measurement using ion mobility spectrometry (IMS) in combination with mass spectrometry (MS) offers a great opportunity to increase confidence in metabolite identification. However, owing to the lack of sensitivity and resolution, IMS has an analytical challenge in studying the CCS values of very low-molecular-weight metabolites (VLMs ≤ 250 Da). Here, we describe an analytical method using ultrahigh-performance liquid chromatography (UPLC) coupled to a traveling wave ion mobility-quadrupole-time-of-flight mass spectrometer optimized for the measurement of VLMs in human urine samples. The experimental CCS values, along with mass spectral properties, were reported for the 174 metabolites. The experimental data included the mass-to-charge ratio (m/z), retention time (RT), tandem MS (MS/MS) spectra, and CCS values. Among the studied metabolites, 263 traveling wave ion mobility spectrometry (TWIMS)-derived CCS values (TWCCSN2) were reported for the first time, and more than 70% of these were CCS values of VLMs. The TWCCSN2 values were highly repeatable, with inter-day variations of <1% relative standard deviation (RSD). The developed method revealed excellent TWCCSN2 accuracy with a CCS difference (ΔCCS) within ±2% of the reported drift tube IMS (DTIMS) and TWIMS CCS values. The complexity of the urine matrix did not affect the precision of the method, as evidenced by ΔCCS within ±1.92%. According to the Metabolomics Standards Initiative, 55 urinary metabolites were identified with a confidence level of 1. Among these 55 metabolites, 53 (96%) were VLMs. The larger number of confirmed compounds found in this study was a result of the addition of TWCCSN2 values, which clearly increased metabolite identification confidence.

The Kelch/Nrf2 Antioxidant System as a Target for Some Marine Fungal Metabolites

Marine fungal metabolites often exhibit antioxidant activity, but their effects on the Keap1/Nrf2 cellular system are rarely studied, possibly due to insufficient isolated amounts. In this work, we used a bioinformatics approach to evaluate the ability of some promising cytoprotective compounds to bind Kelch domain of Keap1 protein, and thus inhibit its interaction with Nrf2. The molecular docking data suggested that gliorosein, niveoglaucin A, 6-hydroxy-N-acetyl-β-oxotryptamine, 4-hydroxyscytalone and 4-hydroxy-6-dehydroxyscytalone can form the hydrogen building with Arg415 or Arg483 amino acid residues of P1-P2 sub-pockets in the Nrf2 binding site of Keap1′s Kelch domain. These positions of the small molecules in the Kelch domain of Keap1 can inhibit the interaction of Keap1 with Nrf2 and enhance the nuclear translocation of Nrf2 from cytosol that can result in overexpression of relative genes. This assumption, based on virtual screening of a number of low molecular weight metabolites of marine fungi, makes them promising for further studies.

A-216 Measuring Inflammation and Cardiovascular Markers at Benchtop NMR using Diffusion and Relaxation Edited Experiments

Abstract Background Metabolic phenotyping is an established tool in systems medicine that captures a profile of one’s individual health status and reflects the interaction between genes and external stressors. It uses analytical platforms such as NMR or MS to acquire molecular profiles, and modelling to extract actionable knowledge. Applying these techniques to a cohort of Australians infected by SARS-CoV-2 revealed a strong alteration in regions of 1D NMR spectra associated with lipoproteins and glycoproteins, and referred as Supramolecular Phospholipid Composite SPC (δ = 3.2 ppm) and Glyc (δ = 2.07 ppm). The latter is an established marker of inflammation. These results were later confirmed using larger cohorts from Spain (n = 525) and the UK (n = 1022). The urgent need for very rapid testing, at the early stage of the pandemic, prompted the development of bespoke NMR experiments able to measure this lipoproteins/glycoproteins signature without requiring complex modelling. Methods Physico-chemical properties of lipoprotein particles, such as diffusion, transverse and longitudinal relaxation rates, differ from low molecular weight metabolites. Therefore, an edited experiment JEDI (PGPE) was designed that combines diffusion, relaxation and scalar coupling editing blocks to produce a lipoprotein profile devoid of chemical noise (overlapping peaks) and where peaks give quantitative results. Results The SPC peak was further broken down into 3 sub-regions that are related to the main subfraction HDL and LDL (choline headgroups of phospholipids). Interestingly the ratio of SPC3/SPC2 highly correlates with the Apo-B100/Apo-A1 ratio, an established cardiovascular risk marker that is increased in patients with COVID19. Longitudinal data suggest this latter remains elevated even 30 days after onset in some patients. Furthermore, the edited experiment performs equally well at low field using a benchtop NMR. Conclusion Translation of a spectral signature relevant for monitoring COVID patients from high to low field NMR is possible using sophisticated editing techniques.

Serum branch-chained amino acids are increased in type 2 diabetes and associated with atherosclerotic cardiovascular disease

Background and aimCirculating biomarkers of metabolic and cardiovascular diseases can help in the early detection and prevention of those diseases. Using proton nuclear magnetic resonance (1H-NMR), we aimed to study the plasma levels of low-molecular-weight metabolites (LMWMs) in a cohort of 307 patients with metabolic diseases to assess their relationships with type-2 diabetes (T2D) and incident atherosclerotic cardiovascular disease (ASCVD).MethodsWe conducted a cross-sectional and prospective study. We included 307 patients attending the Lipid Unit of our University Hospital for the treatment of the following metabolic disturbances and associated disorders: T2D (73.9%), obesity (58.7%), and hypertension (55.1%). 1H-NMR was used to study the plasma levels of 13 LMWMs. LMWM serum concentrations were evaluated in patients with and without T2D. and the correlations with several parameters and their associations with T2D were analyzed. The association between LMWM levels at baseline and the development of ASCVD in patients with T2D after 10 years of follow-up was also evaluated.ResultsAmong the LMWMs measured, the branched-chain amino acids (BCAAs) valine, leucine and isoleucine showed a positive association with several clinical and lipid-related biochemical parameters and inflammatory markers (p < 0.05). Likewise, these three BCAAS were associated with diabetes even after adjusting for covariates (p < 0.05). During the follow-up period of 10 years, 29 of the 185 patients with diabetes at baseline (15.68%) developed ASCVD. After adjusting for clinical covariates, baseline levels of valine and alanine were associated with the development of ASCVD (p < 0.05).ConclusionOverall, our results indicated that plasma levels of LMWMs measured by 1H-NMR could be potential biomarkers associated with T2D. Moreover, alanine and valine can help in the early detection of the cardiovascular risk associated with this metabolic disease.