Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions DOI Open Access
Lilian Fernandes Silva, Markku Laakso

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(8), С. 3572 - 3572

Опубликована: Апрель 10, 2025

Type 2 diabetes (T2D) and cardiovascular diseases (CVDs) are major public health challenges worldwide. Metabolomics, the exhaustive assessment of metabolites in biological systems, offers important insights regarding metabolic disturbances related to these disorders. Recent advances toward integration metabolomics into clinical practice facilitate discovery novel biomarkers that can improve diagnosis, prognosis, treatment T2D CVDs discussed this review. Metabolomics potential characterize key alterations associated with disease pathophysiology treatment. is a heterogeneous develops through diverse pathophysiological processes molecular mechanisms; therefore, disease-causing pathways not completely understood. studies have identified several robust clusters variants representing biologically meaningful, distinct pathways, such as beta cell proinsulin cluster pancreatic insulin secretion, obesity, lipodystrophy, liver/lipid cluster, glycemia, blood pressure, syndrome different causing resistance. Regarding CVDs, recent allowed metabolomic profile delineate contribute atherosclerosis heart failure, well development targeted therapy. This review also covers role integrated genomics other omics platforms better understand mechanisms, along transition precision medicine. further investigates use multi-metabolite modeling enhance risk prediction models for predicting first occurrence adverse events among individuals T2D, highlighting value approaches optimizing preventive therapeutic used practice.

Язык: Английский

Assessing the relationships of 1,400 blood metabolites with abdominal aortic aneurysm: a Mendelian randomization study DOI Creative Commons
Qian Guo, Xinghua Xu,

Xiaohui Li

и другие.

Frontiers in Pharmacology, Год журнала: 2025, Номер 15

Опубликована: Янв. 3, 2025

Abdominal aortic aneurysm (AAA) is one of the most dangerous types vascular diseases worldwide. Metabolic disturbance affects disease risk and provide underlying therapeutic targets. Previous studies have reported an association between metabolic disorders AAA. However, evidence a causal relationship blood metabolites AAA still lacking at present. Using Mendelian randomization (MR), we assessed 1,400 serum The inverse variance weighted method (IVW), median, MR-Egger regression, simple mode, as well mode methods were used for evaluating causality Pleiotropy heterogeneity tests further conducted. Through strict screening, 17 known metabolites, 7 unknown 5 metabolite ratios related to identified. Among all 24 found negative associations, while exhibited positive associations. top five associated with increased Oleoyl-linoleoyl-glycerol (18:1/18:2) [2], Glycosyl-N-(2-hydroxynervonoyl)-sphingosine (d18:1/24:1(2OH)), Glycochenodeoxycholate 3-sulfate, X-21441 X-24328. In contrast, that linked reduced included Uridine pseudouridine ratio, Octadecanedioate, Phosphate oleoyl-linoleoyl-glycerol (18:1 18:2) [2] 1-(1-enyl-palmitoyl)-GPE (p-16:0), 1-stearoyl-GPG (18:0). identified This MR study may novel significant insight screening prevention

Язык: Английский

Процитировано

0

Integrative Roles of Functional Foods, Microbiotics, Nutrigenetics, and Nutrigenomics in Managing Type 2 Diabetes and Obesity DOI Open Access

H.‐C. Lam,

Shih‐Ping Lin, Duc-Huy T. Nguyen

и другие.

Nutrients, Год журнала: 2025, Номер 17(4), С. 608 - 608

Опубликована: Фев. 7, 2025

Diabetes and obesity are globally prevalent metabolic disorders posing significant public health challenges. The effective management of these conditions requires integrated personalized strategies. This study conducted a systematic literature review, identifying 335 relevant papers, with 129 core articles selected after screening for duplicates irrelevant studies. focus the is on synergistic roles functional foods, microbiotics, nutrigenomics. Functional including phytochemicals (e.g., polyphenols dietary fibers), zoochemicals essential fatty acids), bioactive compounds from macrofungi, exhibit potential in enhancing insulin sensitivity, regulating lipid metabolism, reducing inflammatory responses, improving antioxidant capacity. Additionally, critical role gut microbiota highlighted, as its interaction foods facilitates modulation pathways. Nutrigenomics, encompassing nutrigenetics genomics, reveals how genetic variations single-nucleotide polymorphisms (SNPs)) influence responses gene expression, forming feedback loop between habits, variations, microbiota, health. review integrates insights to propose comprehensive sustainable nutrition interventions, offering novel perspectives preventing managing type 2 diabetes obesity. Future clinical studies warranted validate long-term efficacy safety

Язык: Английский

Процитировано

0

Linear association of the dietary index for gut microbiota with insulin resistance and type 2 diabetes mellitus in U.S. adults: the mediating role of body mass index and inflammatory markers DOI Creative Commons

Haoran Qu,

Yiyun Yang,

Qi Xie

и другие.

Frontiers in Nutrition, Год журнала: 2025, Номер 12

Опубликована: Март 21, 2025

Background Gut microbiota is reported to be related the onset of insulin resistance (IR) and type 2 diabetes mellitus (T2DM). The dietary index for gut (DI-GM) a novel reflecting diversity. We aimed evaluate association DI-GM with T2DM IR. Methods This cross-sectional research comprised 10,600 participants aged ≥20 from National Health Nutrition Examination Survey (NHANES) 2007–2018. employed weighted multivariable linear logistic regression models examine correlation Linear or nonlinear relationships were examined by restricted cubic spline (RCS) regression. Additionally, subgroup sensitivity analyses performed ensure reliability results. Mediation analysis explored roles body mass (BMI) inflammatory factors in these associations. Results Higher inversely associated (OR = 0.93, 95%CI: 0.89–0.98) IR 0.95, 0.91–0.99) after adjusting confounders. ≥ 6 group showed significantly lower risks 0.74, 0.60–0.91) 0.77, 0.62–0.95). RCS demonstrated relationship between T2DM, as well was also correlated risk markers T2DM. that BMI systemic inflammation response partly mediated IR, while immune-inflammation only Conclusion mediating this association.

Язык: Английский

Процитировано

0

Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions DOI Open Access
Lilian Fernandes Silva, Markku Laakso

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(8), С. 3572 - 3572

Опубликована: Апрель 10, 2025

Type 2 diabetes (T2D) and cardiovascular diseases (CVDs) are major public health challenges worldwide. Metabolomics, the exhaustive assessment of metabolites in biological systems, offers important insights regarding metabolic disturbances related to these disorders. Recent advances toward integration metabolomics into clinical practice facilitate discovery novel biomarkers that can improve diagnosis, prognosis, treatment T2D CVDs discussed this review. Metabolomics potential characterize key alterations associated with disease pathophysiology treatment. is a heterogeneous develops through diverse pathophysiological processes molecular mechanisms; therefore, disease-causing pathways not completely understood. studies have identified several robust clusters variants representing biologically meaningful, distinct pathways, such as beta cell proinsulin cluster pancreatic insulin secretion, obesity, lipodystrophy, liver/lipid cluster, glycemia, blood pressure, syndrome different causing resistance. Regarding CVDs, recent allowed metabolomic profile delineate contribute atherosclerosis heart failure, well development targeted therapy. This review also covers role integrated genomics other omics platforms better understand mechanisms, along transition precision medicine. further investigates use multi-metabolite modeling enhance risk prediction models for predicting first occurrence adverse events among individuals T2D, highlighting value approaches optimizing preventive therapeutic used practice.

Язык: Английский

Процитировано

0