Identification of Causal Risk Factors for Pan-Cancers: a Mendelian Randomization Study DOI Creative Commons
Bowen Du, Fan Li, Chaopeng Tang

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 7, 2024

Abstract Background Evidence from observational studies and clinical trials suggests an association between plasma protein metabolite levels cancers. However, the causal relationship them is still unclear. Methods We collected genome-wide study (GWAS) summary statistics of UK Biobank Pharma Proteomics Project (UKB-PPP, 9,216 to 34,090 participants) metabolites GWAS Catalog (3,441 8,299 participants), paired with 99 types cancers FinnGen database (131,348 412,181 participants). conducted univariable multivariable Mendelian randomization (MR) analyses explore Results identified 175 proteins 28 causally associated (p < 1 × 10 −5 ). Notably, BTN2A1 increased risk bone articular cartilage cancer (OR = 1.776, 95% CI 1.429 - 2.207), colorectal 1.200, 1.129 1.275), eye adnexa 2.686, 1.943 3.714), lip 3.004, 2.193 4.114), oral 1.905, 1.577 2.302), ovary 1.265, 1.143 1.400), rectum 1.393, 1.263 1.536). N6- carbamoylthreonyladenosine level various including 1.800, 1.444 – 2.243), head neck 2.423, 1.665 3.525), hepatocellular carcinoma 6.476, 2.841 14.762), skin 1.271, 1.161 1.392). Additionally, all results are available at online ( www.causal-risk.net Conclusions Our MR analysis reveals factors for

Language: Английский

Metabolic reaction fluxes as amplifiers and buffers of risk alleles for coronary artery disease DOI Creative Commons
Carles Foguet, Xilin Jiang, Scott C. Ritchie

et al.

Molecular Systems Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

0
Understanding Hypertension: A Metabolomic Perspective DOI Creative Commons
Inês Graça, Cláudia Martins, Fernando Ribeiro

et al.

Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 403 - 403

Published: April 11, 2025

Metabolomics approaches, such as Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR) and mass spectrometry (MS), have emerged powerful tools for studying cardiovascular diseases (CVD), including hypertension. The use of biological fluids, like plasma serum, has garnered significant interest due to their accessibility potential in elucidating disease mechanisms. This review aims summarize the current literature on application metabolomics techniques (FTIR, NMR, MS) study hypertension, focusing contributions understanding pathophysiology, biomarker discovery, therapeutic advancements. A comprehensive analysis metabolomic studies was performed, with a particular emphasis diversity altered metabolites associated systolic blood pressure (SBP), diastolic (DBP), sex-related differences. techniques, FTIR, MS, provide insights into biochemical alterations underlying amino acid fatty metabolism impairment or inflammation oxidative stress processes. underscores role advancing identification, deepening our mechanisms, supporting development targeted strategies. integration these highlights personalized medicine capacity improve clinical outcomes.

Language: Английский

Citations

0
Noninvasive Urinary Biomarkers for Obesity-Related Metabolic Diseases: Diagnostic Applications and Future Directions DOI Creative Commons
Shumin Zhan, Xuelian Zhou, Junfen Fu

et al.

Biomolecules, Journal Year: 2025, Volume and Issue: 15(5), P. 633 - 633

Published: April 28, 2025

Obesity-related metabolic diseases include conditions linked to obesity, such as type 2 diabetes, hypertension, steatotic liver disease, and polycystic ovary syndrome. These disorders are primarily caused by insulin resistance, chronic inflammation, excessive fat accumulation. They represent significant health challenges often remain asymptomatic during their early stages. Traditional diagnostic tools, including blood glucose, lipid levels, pressure, uric acid measurements, provide valuable insights but fall short of fully capturing the complexity dysfunction. Consequently, there is a growing need for noninvasive, easily accessible biomarkers, especially those found in urine, enable more accurate, sensitive, patient-friendly methods. Urine, with its diverse range metabolites that reflect body’s changes, an ideal sample detection. Recent advancements urine metabolomics proteomics have highlighted potential urinary biomarkers diagnosing obesity-related diseases. Despite standardized detection techniques clinical validation, integration artificial intelligence multi-omics approaches holds promise enhancing accuracy advancing disease management strategies.

Language: Английский

Citations

0
Linking oxidative stress biomarkers to disease progression and antioxidant therapy in hypertension and diabetes mellitus DOI Creative Commons

Alberto J. Nuñez-Selles,

Rodolfo A. Nuñez-Musa,

Rafael A. Guillen-Marmolejos

et al.

Frontiers in Molecular Biosciences, Journal Year: 2025, Volume and Issue: 12

Published: May 26, 2025

Oxidative stress (OS) is increasingly recognized as a key factor linking hypertension (HTN) and diabetes mellitus (DM). This review summarizes recent evidence regarding the dual role of OS both an instigator amplifier cardiometabolic dysfunction. In HTN, reactive oxygen species (ROS) produced by NADPH oxidases (NOXs) mitochondrial dysfunction contribute to endothelial impairment vascular remodeling. DM, hyperglycemia-induced ROS production worsens beta-cell failure insulin resistance through pathways such AGE-RAGE signaling, protein kinase C (PKC) activation, polyol pathway. Clinically validated biomarkers OS, F2-isoprostanes (which indicate lipid peroxidation), 8-OHdG indicates DNA damage), activities redox enzymes like superoxide dismutase (SOD) glutathione peroxidase (GPx), show strong correlations with disease progression end-organ complications. Despite promising preclinical results, application antioxidant therapies in clinical settings has faced challenges due inconsistent outcomes, highlighting need for targeted approaches. Emerging strategies include: 1. Mitochondria-targeted antioxidants enhance function resistant HTN; 2. Nrf2 activators restore balance early diabetes; 3. Specific inhibitors NOX isoforms. We emphasize three transformative areas research: (i) interaction between microbiome ROS, where modifying gut microbiota can reduce systemic OS; (ii) use nanotechnology deliver directly pancreatic islets or atherosclerotic plaques; (iii) phenotype-specific diagnosis therapy guided genetic profiling (for example, KEAP1/NRF2 polymorphisms). Integrating these advances lifestyle modifications, following Mediterranean diet exercising regularly, may provide additional benefits. outlines mechanistic framework targeting comorbidity HTN DM while identifying critical knowledge gaps, particularly timing signaling development personalized medicine, which serve reference researchers clinicians working this area.

Language: Английский

Citations

0
Metabolomic machine learning predictor for arsenic-associated hypertension risk in male workers DOI

Youyi Wu,

Guoliang Li, Ming Dong

et al.

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2025, Volume and Issue: 259, P. 116761 - 116761

Published: Feb. 19, 2025

Language: Английский

Citations

0
Causal relationship between genetically determined plasma metabolites and stroke: A two sample Mendelian randomization study DOI
Yi Huang, Siqi Chen, Enhao Zhang

et al.

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2024, Volume and Issue: 135, P. 111133 - 111133

Published: Sept. 1, 2024

Language: Английский

Citations

2
Identification of Causal Risk Factors for Pan-Cancers: a Mendelian Randomization Study DOI Creative Commons
Bowen Du, Fan Li, Chaopeng Tang

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 7, 2024

Abstract Background Evidence from observational studies and clinical trials suggests an association between plasma protein metabolite levels cancers. However, the causal relationship them is still unclear. Methods We collected genome-wide study (GWAS) summary statistics of UK Biobank Pharma Proteomics Project (UKB-PPP, 9,216 to 34,090 participants) metabolites GWAS Catalog (3,441 8,299 participants), paired with 99 types cancers FinnGen database (131,348 412,181 participants). conducted univariable multivariable Mendelian randomization (MR) analyses explore Results identified 175 proteins 28 causally associated (p < 1 × 10 −5 ). Notably, BTN2A1 increased risk bone articular cartilage cancer (OR = 1.776, 95% CI 1.429 - 2.207), colorectal 1.200, 1.129 1.275), eye adnexa 2.686, 1.943 3.714), lip 3.004, 2.193 4.114), oral 1.905, 1.577 2.302), ovary 1.265, 1.143 1.400), rectum 1.393, 1.263 1.536). N6- carbamoylthreonyladenosine level various including 1.800, 1.444 – 2.243), head neck 2.423, 1.665 3.525), hepatocellular carcinoma 6.476, 2.841 14.762), skin 1.271, 1.161 1.392). Additionally, all results are available at online ( www.causal-risk.net Conclusions Our MR analysis reveals factors for

Language: Английский

Citations

0