Integrative serum metabolomic analysis for preventive effects of Yaobitong capsule in adjuvant-induced rheumatoid arthritis rat based on RP/HILIC-UHPLC-Q-TOF MS

Association between Purpureocillium, amino acid metabolism and cognitive function in drug-naïve, first-episode schizophrenia

BACKGROUND

Cognitive impairments in patients with schizophrenia (SCZ) is associated with poor social functioning and long-term prognosis. Our previous work suggests that some key fungal markers including Purpureocillium, are linked to SCZ.

METHODS

We present a case-control study that includes 136 first-episode, drug-naïve patients with SCZ and 92 healthy controls (HCs). Untargeted liquid chromatography/mass spectrometry (LC/MS) was utilized to measure serum metabolite levels. The abundance of Purpureocillium was assessed using the internal transcribed spacer (ITS) analysis. Cognitive function was measured using the MATRICS Consensus Cognitive Battery.

RESULTS

The present study demonstrated significant declines in attention and alertness (AV), speed of processing (SOP) in individuals with SCZ. The abundance of Purpureocillium was found to have a negative correlation with multiple domains of cognitive function. Additionally, SCZ-related metabolic markers 2-Oxoarginine, N-Acetyl-serotonin, Ergothioneine, Isobutyric acid and Biotin were significantly associated with both the abundance of Purpureocillium and cognitive scores (SOP and AV). Mediation analyses revealed that the abundance of Purpureocillium in patients with SCZ had significant direct and indirect effects on SOP and AV) through metabolic markers (2-Oxoarginine, N-Acetyl-serotonin, Ergothioneine). Further, Purpureocillium and the metabolic markers were found to be correlated with inflammation and oxidative stress, both of which have been associated with pathogenesis of SCZ.

CONCLUSIONS

Our findings suggest that Purpureocillium might be associated with cognitive impairments through its regulation on the metabolism of specific amino acids involved in inflammation and oxidative stress. A better understanding about the fungal-immune-metabolites association may lead to novel treatment approaches to improve cognitive function in patients with SCZ.

Unveiling the pharmacological mechanisms of Spirulina platensis in rheumatoid arthritis rats through the integration of serum metabolomics, pathways analysis, and experimental validation

Rheumatoid arthritis (RA) is an autoimmune disease primarily manifested by insistent proliferative synovitis, joint degradation, and bone erosions with no targeted therapy yet. Spirulina platensis serves as a treasure house of bioactive compounds with potential significance against different inflammatory ailments. Inspired by the potentiating biological attributes of S. platensis, the current investigation is concerned with dissecting the mechanistic basis of S. platensis against rheumatoid arthritis (RA) through a series of biochemical and histopathological assessments integrated with a serum metabolomics strategy to explore more efficacious and safe alternative therapies to rectify RA. Firstly, a rat model of RA was established using complete Freund's adjuvant (CFA), and RA-related biochemical and histopathological scores were determined as monitoring indexes for control efficiency of S. platensis against RA. Serum metabolomics was adopted to profile the potential biomarkers and their corresponding metabolic pathways modulated by Spirulina through UPLC-MS/MS analysis integrated with chemometrics and MetaboAnalyst 5.0 pathway analysis. The results demonstrated that Spirulina exerted significantly modulatory effects in the CFA model by reducing systemic manifestations of oxidative stress, inflammation, and impaired liver and kidney functions typically exemplified by catalase (CAT), superoxide dismutase (SOD), reduced glutathione (GSH), rheumatoid factor (RF), monocyte chemotactic protein 1 (MCP-1), tumor necrosis factor alpha (TNF-α), and interleukin-6 (IL-6), as well as alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, and urea. Histopathological investigations have revealed that Spirulina intervention causes moderately lower inflammatory cells infiltrations, synovial hyperplasia, and cartilage destruction. Regarding serum metabolomics, Spirulina could remarkably reverse disordered RA-associated metabolites, namely glutamic acid, arachidonic acid, 5-hydroxyeicosatetraenoic acid, (20:4/18:0) phosphatidylcholine, and citric acid, to a normal-like state through modulating arachidonic acid metabolism, alanine, aspartate and glutamate metabolism, and citrate cycle pathways putatively implicated in inflammation and joint damage. Our findings provide compelling evidence that S. platensis possesses a broad spectrum of mechanisms to restore the disrupted homeostasis in RA by multi-targeted, synergistic actions.

Application of metabolomics in the classification of traditional Chinese medicine syndromes in rheumatoid arthritis

OBJECTIVE

Rheumatoid arthritis (RA) is frequently treated with traditional Chinese medicine (TCM), where patients are classified into distinct syndromes, such as heat-dampness syndrome (HD) and kidney-liver deficiency syndrome (KLD). However, an objective and systematic approach to differentiate these TCM syndromes remains lacking. This study is aimed at analyzing serum metabolomics to identify differential metabolites and pathways associated with HD and GS syndromes in RA patients and at evaluating their potential as diagnostic biomarkers.

METHODS

Serum samples from RA patients classified into HD and KLD groups were analyzed using metabolomics. Partial least squares discriminant analysis was employed to identify significant metabolites, while pathway analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes database. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic potential of key metabolites.

RESULTS

Fifteen differential metabolites and two perturbed pathways-sphingolipid and D-amino acid metabolism-were identified between the KLD and HD groups. Notably, several metabolites, including C17-sphinganine and leucyl-alanine, demonstrated high diagnostic efficacy, with area under the curve (AUC) values exceeding 0.90. Correlation analysis revealed significant associations between certain metabolites and clinical indices, further substantiating their role in syndrome differentiation.

CONCLUSION

This study presents a comprehensive analysis of serum metabolites in RA patients under different TCM syndromes. The identified metabolites hold potential as biomarkers for distinguishing HD and KLD groups, paving the way for more objective and evidence-based diagnostic approaches in TCM. Key Points • Differential metabolites were identified in the serum of RA patients with heat-dampness syndrome and kidney-liver deficiency syndrome, with their metabolic pathways primarily involving sphingolipid metabolism and D-amino acid metabolism. • Serum metabolites demonstrate high efficacy in distinguishing RA patients with different TCM syndromes. • Significant correlations were observed between serum differential metabolites and clinical indicators in RA patients with varying TCM syndromes.

Identification of energy metabolism anomalies and serum biomarkers in the progression of premature ovarian failure via extracellular vesicles' proteomic and metabolomic profiles

BACKGROUND

Premature ovarian failure (POF) is a clinical condition characterized by the cessation of ovarian function, leading to infertility. The underlying molecular mechanisms remain unclear, and no predictable biomarkers have been identified. This study aimed to investigate the protein and metabolite contents of serum extracellular vesicles to investigate underlying molecular mechanisms and explore potential biomarkers.

METHODS

This study was conducted on a cohort consisting of 14 POF patients and 16 healthy controls. The extracellular vesicles extracted from the serum of each group were subjected to label-free proteomic and unbiased metabolomic analysis. Differentially expressed proteins and metabolites were annotated. Pathway network clustering was conducted with further correlation analysis. The biomarkers were confirmed by ROC analysis and random forest machine learning.

RESULTS

The proteomic and metabolomic profiles of POF patients and healthy controls were compared. Two subgroups of POF patients, Pre-POF and Pro-POF, were identified based on the proteomic profile, while all patients displayed a distinguishable metabolomic profile. Proteomic analysis suggested that inflammation serves as an early factor contributing to the infertility of POF patients. For the metabolomic analysis, despite the dysfunction of metabolism, oxidative stress and hormone imbalance were other key factors appearing in POF patients. Signaling pathway clustering of proteomic and metabolomic profiles revealed the progression of dysfunctional energy metabolism during the development of POF. Moreover, correlation analysis identified that differentially expressed proteins and metabolites were highly associated, with six of them being selected as potential biomarkers. ROC curve analysis, together with random forest machine learning, suggested that AFM combined with 2-oxoarginine was the best diagnostic biomarker for POF.

CONCLUSIONS

Omics analysis revealed that inflammation, oxidative stress, and hormone imbalance are factors that damage ovarian tissue, but the progressive dysfunction of energy metabolism might be the critical pathogenic pathway contributing to the development of POF. AFM combined with 2-oxoarginine serves as a precise biomarker for clinical POF diagnosis.

Mechanism of Jinteng Qingbi granules in the treatment of rheumatoid arthritis using metabolomics analysis

This study investigated the differential metabolites after rheumatoid arthritis (RA) rats were treated with Jinteng Qingbi granules. Collagen-induced arthritis rats were divided into three groups, namely normal group, model group, and Jinteng Qingbi granules group. Serum compounds were identified, annotated, and classified using metabolomics to explain the physicochemical properties and biological functions. The metabolites were screened using univariate and multivariate statistical analyses. There were differences in serum metabolites between RA and normal rats; Jinteng Qingbi granules improved RA and recovered the metabolite levels to normal. Compared to the normal group, 51 differential ions were screened, and 108 ions were changed in the Jinteng Qingbi granules group compared to the RA model. Eight metabolites were upregulated in the RA model group compared to the normal group, whereas 10 metabolites were downregulated. Treatment with Jinteng Qingbi granules increased the levels of 12 metabolites such as cinnamate and decreased the levels of 16 metabolites such as allamandin in the RA model. Differential ion enrichment was mainly related to the histidine metabolic pathway in amino acid metabolism. Jinteng Qingbi granules resulted in improvements in the RA model, which were mainly associated with lipids and lipid-like molecules, organic acids, and derivatives, providing a new possibility and basis for screening biomarkers for the diagnosis and treatment of RA.

Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification

As links between genotype and phenotype, small-molecule metabolites are attractive biomarkers for disease diagnosis, prognosis, classification, drug screening and treatment, insight into understanding disease pathology and identifying potential targets. Metabolomics technology is crucial for discovering targets of small-molecule metabolites involved in disease phenotype. Mass spectrometry-based metabolomics has implemented in applications in various fields including target discovery, explanation of disease mechanisms and compound screening. It is used to analyze the physiological or pathological states of the organism by investigating the changes in endogenous small-molecule metabolites and associated metabolism from complex metabolic pathways in biological samples. The present review provides a critical update of high-throughput functional metabolomics techniques and diverse applications, and recommends the use of mass spectrometry-based metabolomics for discovering small-molecule metabolite signatures that provide valuable insights into metabolic targets. We also recommend using mass spectrometry-based metabolomics as a powerful tool for identifying and understanding metabolic patterns, metabolic targets and for efficacy evaluation of herbal medicine.

Metabolomic insights into the therapeutic mechanisms of costus (Saussurea costus (Falc.) Lipsch.) root extract in propylthiouracil-induced hypothyroidism rat model

ETHNOPHARMACOLOGICAL RELEVANCE

Saussurea costus (Falc.) Lipschitz. is one of the most reputed medicinal plants as a traditional medicine in the Arab and Middle East regions in the treatment of thyroid disorders, however, more investigations are needed to fully understand its effectiveness and mechanism of action.

AIM OF THE STUDY

The primary objective of the study was to assess the impact of Saussurea costus (COST) on the metabolic profiles of propylthiouracil (PTU)-induced hypothyroidism in rats. This involves a comprehensive examination of serum metabolites using UPLC/QqQ-MS analysis aiming to identify differential metabolites, elucidate underlying mechanisms, and evaluate the potential pharmacological effect of COST in restoring metabolic homeostasis.

MATERIALS AND METHODS

Hypothyroidism was induced in female Sprague-Dawley rats by oral administration of propylthiouracil (PTU). UPLC/QqQ MS analysis of serum samples from normal, PTU, and PTU + COST rats was utilized for annotation of intrinsic metabolites with the aid of online Human metabolome database (HMDB) and extensive literature surfing. Multivariate statistical analyses, including orthogonal partial least squares discriminant analysis (OPLS-DA), discerned variations between the different groups. Serum levels of T3, T4 and TSH in addition to arachidonic acid (ARA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) levels in thyroid gland tissues; Phospholipase A2 group IIA (PLA2G2A), and lipoprotein lipase (LPL) in liver tissues were assessed by specific ELISA kits. Gene expression for key proteins of the primary evolved pathwayswere quantified by one-step qRT-PCR technique. Histopathological evaluation of thyroid gland tissue was performed by an investigator blinded to the experimental group using light microscope.

RESULTS

Distinct clustering in multivariate statistical analysis models indicated significant variations in serum chemical profiles among normal, disease, and treated groups. VIP values guided the selection of differential metabolites, revealing significant changes in metabolite concentrations. Subsequent to COST treatment, 43 differential intrinsic metabolites exhibited a notable tendency to revert towards normal levels. Annotated metabolites, such as lysophosphatidylcholine (LPC), L-acetylcarnitine, gamma-glutamylserine, and others, showed differential regulation in response to PTU and subsequent S. costus treatment. Notably, 21 metabolites were associated with polyunsaturated fatty acids (PUFAs) biosynthesis, arachidonic acid (ARA) metabolism, and glycerophospholipid metabolism exhibited significant changes on conducting metabolic pathway analysis.

CONCLUSIONS

COST improves PTU-induced hypothyroidism by regulating biosynthesis of PUFAs signified by n-3/n-6, ARA and glycerophospholipid metabolism. The study provides us a novel mechanism to explain the improvement of hypothyroidism and associated dyslipidemia by COST, depicts a metabolic profile of hypothyroidism, and gives us another point cut for further exploring the biomarkers and pathogenesis of hypothyroidism.

Effects of a liquid and dry Saccharomyces cerevisiae fermentation product feeding program on ruminal fermentation, total tract digestibility, and plasma metabolome of Holstein steers receiving a grain-based diet

The study aimed to determine the effects of a postbiotic feeding program consisting of liquid and dry Saccharomyces cerevisiae fermentation product (SCFP) on ruminal fermentation, digestibility, and plasma metabolome of Holstein steers receiving a grain-based diet. Eight Holstein steers (body weight, BW, 467 ± 13.9 kg) equipped with rumen cannulas were used in a crossover design study, with 21 d per period and a 7-d washout period in between periods. Steers were stratified by initial BW and assigned to 1 of 2 treatments. The treatments were 1) Control, basal finishing diet only (CON); 2) SCFP, 1-d feeding of liquid SCFP (infused into the rumen via the cannula at 11 mL/100 kg BW) followed by daily feeding of dry SCFP (12 g/d, top-dressed). Feed and spot fecal samples were collected during days 17 to 20 for determination of digestibility and fecal excretion of N, P, Cu, and Zn. Digestibility was measured using acid-insoluble ash as an internal marker. Blood samples were collected on day 21 before the morning feeding. Rumen fluid samples were collected on days 0, 1, 2, 3, 5, and 21 via rumen cannula. Results were analyzed with the GLIMMIX procedure of SAS 9.4 (SAS, 2023). Treatment did not affect dry matter intake (P = 0.15) and digestibility (P ≥ 0.62). The fecal output and absorption of Zn, Cu, P, and N were not affected (P > 0.22) by treatment. On day 1, the liquid SCFP supplementation tended to reduce (P = 0.07) ruminal VFA concentration and increased (P < 0.01) the molar proportion of valerate. Feeding SCFP tended to increase total ruminal VFA on day 5 (P = 0.08) and significantly increased total VFA on day 21 (P = 0.05). Ruminal NH3-N was reduced (P = 0.02) on day 21 by supplementing SCFP. Treatment did not affect the production of proinflammatory cytokines, interleukin (IL)-1β (P > 0.19), and IL-6 (P > 0.12) in the whole blood in response to various toll-like receptor stimulants in vitro. Feeding SCFP enriched (P ≤ 0.05) plasma metabolic pathways, including citric acid cycle, pyrimidine metabolism, glycolysis/gluconeogenesis, retinol metabolism, and inositol phosphate metabolism pathways. In summary, supplementing liquid SCFP with subsequent dry SCFP enhanced ruminal total VFA production and reduced NH3-N concentration in the rumen. Furthermore, feeding SCFP enriched several important pathways in lipid, protein, and glucose metabolism, which may improve feed efficiency of energy and protein in Holstein steers.

A liquid chromatography-mass spectrometry untargeted urinary metabonomics combined with quantitative analysis of seven amino acids biomarkers on yaobitong capsule in the intervention of rheumatoid arthritis rats

Yaobitong capsule is a compound preparation of traditional Chinese medicine that has been widely applied in disease treatment. To insight into the therapeutic effects of the yaobitong capsule on rheumatoid arthritis and its mechanisms, a liquid chromatography-mass spectrometry untargeted urine metabolomics method was established and validated, combined with the quantitative analysis of seven potential amino acid biomarkers in rat urine. The results showed that 35 potential biomarkers were found in untargeted metabonomics, which was related to amino acid metabolism, lipid metabolism, energy metabolism, and purine metabolism. Moreover, seven amino acid biomarkers, including proline, methionine, glutamic acid, histidine, lysine, cysteine, and glutamine, were further separated and quantified in multiple-reaction monitoring with a positive ionization mode. Then the linearity, standard curves, accuracy, precision, limit of quantitation, recovery, stability, carryover, and matrix effect of the quantitative method were examined. Finally, the validated method was successfully applied to investigate the urine samples of the control group, adjuvant-induced rheumatoid arthritis model group, yaobitong capsule-treatment group, and positive control group in rats. The contents of seven amino acids in different groups showed significant differences. Consequently, our findings revealed that the yaobitong capsule exerted therapeutic effects on rheumatoid arthritis rats by maintaining amino acid homeostasis.

Metabolomics in rheumatoid arthritis: Advances and review

Rheumatoid arthritis (RA) is an autoimmune disease accompanied by metabolic alterations. The metabolic profiles of patients with RA can be determined using targeted and non-targeted metabolomics technology. Metabolic changes in glucose, lipid, and amino acid levels are involved in glycolysis, the tricarboxylic acid cycle, the pentose phosphate pathway, the arachidonic acid metabolic pathway, and amino acid metabolism. These alterations in metabolic pathways and metabolites can fulfill bio-energetic requirements, promote cell proliferation, drive inflammatory mediator secretion, mediate leukocyte infiltration, induce joint destruction and muscle atrophy, and regulate cell proliferation, which may reflect the etiologies of RA. Differential metabolites can be used as biomarkers for the diagnosis, prognosis, and risk prediction, improving the specificity and accuracy of diagnostics and prognosis prediction. Additionally, metabolic changes associated with therapeutic responses can improve the understanding of drug mechanism. Metabolic homeostasis and regulation are new therapeutic strategies for RA. In this review, we provide a comprehensive overview of advances in metabolomics for RA.

Quercetin ameliorated cardiac injury via reducing inflammatory actions and the glycerophospholipid metabolism dysregulation in a diabetic cardiomyopathy mouse model

Quercetin has multiple protective effects against cardiometabolic diseases, but the biological mechanisms underlying the benefits in diabetic cardiomyopathy (DCM) are unclear. A mouse DCM model was established by high-fat diet...

Amino Acids and Lipids Associated with Long-Term and Short-Term Red Meat Consumption in the Chinese Population: An Untargeted Metabolomics Study

Red meat (RM) consumption is correlated with multiple health outcomes. This study aims to identify potential biomarkers of RM consumption in the Chinese population and evaluate their predictive ability. We selected 500 adults who participated in the 2015 China Health and Nutrition Survey and examined their overall metabolome differences by RM consumption by using elastic-net regression, then evaluate the predictivity of a combination of filtered metabolites; 1108 metabolites were detected. In the long-term RM consumption analysis 12,13-DiHOME, androstenediol (3α, 17α) monosulfate 2, and gamma-Glutamyl-2-aminobutyrate were positively associated, 2-naphthol sulfate and S-methylcysteine were negatively associated with long-term high RM consumption, the combination of metabolites prediction model evaluated by area under the receiver operating characteristic curve (AUC) was 70.4% (95% CI: 59.9–80.9%). In the short-term RM consumption analysis, asparagine, 4-hydroxyproline, and 3-hydroxyisobutyrate were positively associated, behenoyl sphingomyelin (d18:1/22:0) was negatively associated with short-term high RM consumption. Combination prediction model AUC was 75.6% (95% CI: 65.5–85.6%). We identified 10 and 11 serum metabolites that differed according to LT and ST RM consumption which mainly involved branch-chained amino acids, arginine and proline, urea cycle and polyunsaturated fatty acid metabolism. These metabolites may become a mediator of some chronic diseases among high RM consumers and provide new evidence for RM biomarkers.