A metabolomics-based study of serum biomarkers in adolescents with nonsuicidal self-injury DOI Creative Commons

Xuerong Qin,

Wei Su,

Cuiping Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Abstract Objective: This study aims to elucidate the metabolite profiles in serum of adolescents engaging non-suicidal self-injury (NSSI) by employing high-resolution, non-targeted metabolomics. The objectives include differentiating metabolites between NSSI group and a normal control group, identifying biomarkers clinical diagnostic value, utilising these differential pinpoint key metabolic pathways implicated pathogenesis through bioinformatics analyses. Methods: sample consisted 39 patients, aged 13-22 years, presenting at outpatient clinic Department Psychiatry, Second Affiliated Hospital Shandong First Medical University from January 2022 December 2023, with initial, untreated NSSI. Additionally, 24 healthy were conscripted community. Participants matched for age, gender, BMI. Ultra-high performance liquid chromatography mass spectrometry (UPLC-MS) facilitated non-target metabolomic analysis. Multivariate statistical analyses, amalgamating univariate multivariate approaches, enabled discrimination extraction biomarkers. Concurrently, evaluation was undertaken annotate pertinent pathways. Results: In cationic mode, 235 discerned, 133 upregulated 102 downregulated cohort. Anionic mode identified 66 metabolites; among these, 14 52 downregulated. KEGG pathway annotations yielded 311 pathways, encompassing 158 153 anionic Significantly enriched high-degree included aromatase deficiency, 17-β hydroxysteroid dehydrogenase III nadolol's mechanism action, timosartan's androgen estrogen metabolism, α-linolenic linoleic acid metabolism nicotinic nicotinamide mode. Substances such as phenylalanine, glycine, aspartic acid, asparagine, threonine, histidine, tyrosine, arginine, isoleucine, proline, N-acetylthreonine, glutamine, organic acids their derivatives, cyclopropene, glycerophospholipids, fatty acylcarnitines, geldanamycin, cycloprostenol paramount distinguishing patients controls exhibited highest predictive power. Conclusion: Metabolic perturbations characterise elevated or diminished levels substances like others significantly contributing this distinction. These findings underscore potential understanding predicting

Language: Английский

Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach DOI Creative Commons
Alessia Vignoli, G. Bellomo, Federico Paolini Paoletti

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 27, 2025

Alzheimer's disease (AD) is the most frequent neurodegenerative disorder worldwide. The great variability in evolution and incomplete understanding of molecular mechanisms underlying AD make it difficult to predict when a patient will convert from prodromal stage dementia. We hypothesize that metabolic alterations present at level brain could be reflected systemic blood serum patients, these used as prognostic biomarkers. This pilot study proposes investigation via nuclear magnetic resonance (NMR) spectroscopy consecutive series patients including 57 affected by dementia (AD-dem) 45 with mild cognitive impairment (MCI) due (MCI-AD). As control group, we considered 31 subjects whom other disorders were excluded (MCI). A panel 26 metabolites 112 lipoprotein-related parameters was quantified logistic LASSO regression algorithm employed identify optimal combination metabolites-lipoproteins their ratios discriminate groups interest. In training set, our model classified AD-dem MCI an accuracy 81.7%. These results reproduced validation set (accuracy 75.0%). Evolution MCI-AD evaluated over time. Patients who displayed decrease MMSE < 1.5 point per year lower progression rate: obtained division 18 rate (MCI-AD LR) 27 higher HR). calculated using 4 features identified LR HR 73.3%. identification potential novel peripheral biomarkers disease, proposed this study, opens new prospect for innovative minimally invasive method its very early stages. approach able sub-stratify identifying those associated faster clinical progression.

Language: Английский

Citations

3
Danggui Shaoyao San: comprehensive modulation of the microbiota-gut-brain axis for attenuating Alzheimer’s disease-related pathology DOI Creative Commons
Jiawei He, Yijie Jin,

Chunxiang He

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 12, 2024

Alzheimer's disease (AD), an age-associated neurodegenerative disorder, currently lacks effective clinical therapeutics. Traditional Chinese Medicine (TCM) holds promising potential in AD treatment, exemplified by Danggui Shaoyao San (DSS), a TCM formulation. The precise therapeutic mechanisms of DSS remain to be fully elucidated. This study aims uncover the efficacy and underlying AD, employing integrative approach encompassing gut microbiota metabolomic analyses.

Language: Английский

Citations

13
Bile acid metabolism in health and ageing-related diseases DOI
Xiaojun Li,

Chu Fang,

Ruihua Zhao

et al.

Biochemical Pharmacology, Journal Year: 2024, Volume and Issue: 225, P. 116313 - 116313

Published: May 22, 2024

Language: Английский

Citations

7
Integrating amyloid and tau imaging with proteomics and genomics in Alzheimer’s disease DOI Creative Commons

Gabriele Vilkaite,

Jacob W. Vogel, Niklas Mattsson

et al.

Cell Reports Medicine, Journal Year: 2024, Volume and Issue: 5(9), P. 101735 - 101735

Published: Sept. 1, 2024

Language: Английский

Citations

7
Use of machine learning algorithms and NMR metabolomics to identify potential serum biomarkers in patients with amnestic mild cognitive impairment DOI
Jin Chen, Fei Wan, Jiayu Qiu

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(1), P. 101278 - 101278

Published: Jan. 13, 2025

Language: Английский

Citations

0
Identification of Key Fatty Acid Metabolism-Related Genes in Alzheimer’s Disease DOI
Bo Yan, Pan Liao, Wei Zhang

et al.

Molecular Neurobiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0
How far are we from reliable metabolomics-based biomarkers? The often-overlooked importance of addressing inter-individual variability factors DOI Creative Commons
Álvaro González‐Domínguez, Raúl González‐Domínguez

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2023, Volume and Issue: 1870(1), P. 166910 - 166910

Published: Oct. 4, 2023

Language: Английский

Citations

9
Clinical metabolomics characteristics of diabetic kidney disease: A meta‐analysis of 1875 cases with diabetic kidney disease and 4503 controls DOI
Yu Yuan, Liping Huang, Lulu Yu

et al.

Diabetes/Metabolism Research and Reviews, Journal Year: 2024, Volume and Issue: 40(3)

Published: March 1, 2024

Abstract Aims Diabetic Kidney Disease (DKD), one of the major complications diabetes, is also a cause end‐stage renal disease. Metabolomics can provide unique metabolic profile disease and thus predict or diagnose development Therefore, this study summarises more comprehensive set clinical biomarkers related to DKD identify functional metabolites significantly associated with reveal their driving mechanisms for DKD. Materials Methods We searched PubMed, Embase, Cochrane Library Web Science databases through October 2022. A meta‐analysis was conducted on untargeted targeted metabolomics research data based strategy standardized mean differences process ratio means as effect size, respectively. compared changes in metabolite levels between patients controls explored source heterogeneity subgroup analyses, sensitivity analysis meta‐regression analysis. Results The 34 clinical‐based studies clarified differential controls, containing 4503 control subjects 1875 results showed that total 60 common were found both meta‐analyses, which 5 ( p < 0.05) identified essential metabolites. Compared group, glycine, aconitic acid, glycolic acid uracil decreased patients; cysteine higher. This indicates amino metabolism, lipid metabolism pyrimidine are disordered. Conclusions have pathways serve targets prevention drug therapy.

Language: Английский

Citations

3
CSF amino acid profiles in ICV‐streptozotocin‐induced sporadic Alzheimer's disease in male Wistar rat: a metabolomics and systems biology perspective DOI Creative Commons
Amir Barzegar Behrooz, Hamid Latifi‐Navid,

Jabar Lotfi

et al.

FEBS Open Bio, Journal Year: 2024, Volume and Issue: 14(7), P. 1116 - 1132

Published: May 20, 2024

Alzheimer's disease (AD) is an increasingly important public health concern due to the increasing proportion of older individuals within general population. The impairment processes responsible for adequate brain energy supply primarily determines early features aging process. Restricting results in hypometabolism prior clinical symptoms and anatomically functionally associated with cognitive impairment. present study investigated changes metabolic profiles induced by intracerebroventricular‐streptozotocin (ICV‐STZ) AD‐like animal model. To this end, male Wistar rats received a single injection STZ (3 mg·kg −1 ) ICV (2.5 μL into each ventricle 5 min on side). In second week after receiving ICV‐STZ, were tested performance using Morris Water Maze test subsequently prepared positron emission tomography (PET) confirm symptoms. Tandem Mass Spectrometry (MS/MS) analysis was used detect amino acid cerebrospinal fluid (CFS) samples. Our metabolomics revealed reduction concentrations various acids (alanine, arginine, aspartic acid, glutamic glycine, isoleucine, methionine, phenylalanine, proline, serine, threonine, tryptophane, tyrosine, valine) CSF ICV‐STZ‐treated animals as compared controls rats. current indicate levels could potentially be considered targets nutritional and/or pharmacological interventions interfere AD progression.

Language: Английский

Citations

3
NMR analysis seeking for cognitive decline and dementia metabolic markers in plasma from aged individuals. DOI Creative Commons
Ricardo Conde, Nádia Oliveira, Elisabete Morais

et al.

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2023, Volume and Issue: 238, P. 115815 - 115815

Published: Oct. 27, 2023

Blood biomarkers can improve the ability to diagnose dementia, providing new information better understand pathophysiology and causes of disease. Some studies with patients have already shown changes in metabolic profiles among pathological cognitive decline or Alzheimer's disease, when compared individuals normal cognition.To search for we analyzed serum levels several metabolites, measured by nuclear magnetic resonance spectroscopy, elderly individuals, a group (control), three other groups decline. (low, moderate, severe).Decreased plasma tyrosine, glutamate, valine, leucine, isoleucine are associated worsening However, area under analysis receptor operating characteristics suggests that tyrosine glutamate low specificity sensitivity. Valine, influenced blood glucose diabetes, but these conditions do not seem be great influence differences observed. Isobutyrate, histidine, acetone unknown-1 metabolite also decrease their increasing CD. Isobutyrate ad histidine could neuroprotective antioxidant actions, respectively. To elucidate role decreased unknown metabolite-1 as CD biomarker, it will necessary previously investigate its identity. define CD, additional laboratory clinical must performed. All metabolites together may constitute set capability identify dementia.Decrease isoleucine, isobutyrate, able dementia. Histidine, more specific

Language: Английский

Citations

8