Etiology, Pathophysiology, and Treatment Strategies in the Prevention and Management of Metabolic Syndrome DOI Open Access
Ritika Patial,

Irene Batta,

Manish Thakur

et al.

Archives of Internal Medicine Research, Journal Year: 2024, Volume and Issue: 7(4)

Published: Jan. 1, 2024

Metabolic Syndrome (MetS) is a complex cluster of metabolic irregularities that significantly increase the risk developing chronic conditions, such as hypertension, type 2 diabetes, cardiovascular diseases, and other related disorders. This review aims to provide comprehensive overview current understanding MetS, its etiology underlying pathogenesis, management strategies. MetS characterized by central obesity, high blood pressure, insulin resistance, hyperglycemia, hypertriglyceridemia, low high-density lipoprotein cholesterol levels. The prevalence remarkably high, affecting approximately 25% global population, particularly in developed nations with inactive lifestyles high-calorie diets. development involves genetic acquired factors, resulting an inflammatory state enhances for disease. biochemical alterations observed establish pathological connections between neurodegenerative conditions. Despite clinical importance, there still debate regarding precise components pathophysiological associations among elements. However, advancements therapeutic measures, including drug therapies, surgical options, experimental methods present promising avenues managing potentially reversing MetS. Further investigation critical because significant implications public health connection conditions severe outcomes, placing substantial burden on healthcare system society.

Language: Английский

Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke DOI Creative Commons
Qingrong Ouyang, Lei Xu, Ming Yu

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 28, 2025

The triglyceride glucose-body mass index (TyG-BMI) has been established as a convenient and reliable marker for assessing insulin resistance (IR) shown to be significantly correlated with stroke. However, only few studies have conducted in this field, conflicting conclusions. This study based on the eICU database, investigated association between TyG-BMI 28-day mortality critically ill ischemic stroke (IS) patients. Multivariate Cox regression models were employed analyze impacts of hospital ICU mortality. Restricted cubic splines (RCS) applied explore nonlinear relationship K‒M curves utilized outcome comparisons among different groups. Additionally, interaction subgroup analyses performed validate robustness results. A total 1,362 patients IS enrolled, mean age 68.41 ± 14.16 years; 47.50% male. analysis revealed that, high group had higher mortality(HR = 1.734, P 0.032) (HR 2.337, p 0.048). RCS showed positive correlation Below inflection point 380.37, each increase 1 standard deviation (SD) (approximately 25.5 units) was associated 37.3% 1.373, 0.015), above 380.376, 1-SD resulted an 87.9% decrease 0.121, 0.057). log-likelihood ratio test value 0.004. For mortality, exhibited significant linear RCS. Elevated is increased risk short-term all-cause United States. result provides compelling evidence address existing discrepancies research domain, indicating that could serve straightforward efficient biomarker identifying at

Language: Английский

Citations

2

Cholesterol, high-density lipoprotein, and glucose index versus triglyceride–glucose index in predicting cardiovascular disease risk: a cohort study DOI Creative Commons
De-Gang Mo, Peng Zhang, Miao Zhang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 10, 2025

Cardiovascular disease (CVD) represents a significant global health challenge, characterized by high incidence rates and substantial morbidity mortality. A newer index, the Cholesterol, High-Density Lipoprotein, Glucose (CHG) has been proposed as potential diagnostic tool for metabolic disorders but not investigated its ability to predict CVD risk. This study aims evaluate predictive efficacy of CHG index in comparison well-established Triglyceride–Glucose (TyG) index. In this cohort study, 6249 adults aged 45 older were recruited from CHARLS database, with data collected 2011 2020. events tracked over nine-year follow-up. The TyG indices calculated, their relationships risk assessed using univariate multivariate Cox regression models. Additionally, restricted cubic spline (RCS) analysis was performed further explore these associations. Receiver operating characteristic (ROC) conducted compare performance both indices, subgroup evaluated applicability different populations. Among participants, 1667 (26.68%) developed during unadjusted models, had hazard ratio (HR) 1.18 (95% confidence interval CI 1.10–1.27, p < 0.001), while showed higher HR 1.35 1.21–1.51, 0.001). adjusted relationship still persisted. RCS models that exhibited non-linear CVD, demonstrated positive linear correlation. ROC curve revealed comparable indices. indicated there no interaction between subgroups (p > 0.05). An elevated is significantly correlated an increased demonstrating relationship. Furthermore, it exhibits capabilities those assessing Not applicable. leading issue, rising linked diabetes other conditions. indicator, recognized reliable predictor Recently, novel indicator. Does more effectively compared index? can serve composite indicator predicting risk, capability incorporation clinical assessments may enhance stratification personalized prevention strategies patients at CVD.

Language: Английский

Citations

1

The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes DOI Creative Commons
Verena Gounden, Sridevi Devaraj,

Ishwarlal Jialal

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Dec. 23, 2024

The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as predictor of metabolic cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility TyG predictive biomarker cardiometabolic diseases. A search was conducted in PubMed, Web Science identify cross-sectional more importantly prospective studies examining use biomarker. following terms were utilized addition index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases". review included thirty studies. Following adjustment confounding variables, an elevated associated with significantly increased risk development Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, CVD. Also limited studies, endothelial dysfunction, oxidative stress pro-inflammatory phenotype. Overall, our findings support developing MetS, T2DM, well atherosclerotic disease.

Language: Английский

Citations

7

High triglyceride-glucose index in patients with diabetes mellitus is associated with an increased likelihood of nephropathy development: evidence from a meta-analysis among Asian population DOI Creative Commons
Raphael Enrique Tiongco,

Neil David Cayanan,

Michael John Dominguez

et al.

The Egyptian Journal of Internal Medicine, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 16, 2025

Abstract Introduction In recent years, the triglyceride-glucose (TyG) index, which is associated with insulin resistance and kidney dysfunction, has emerged as a promising accessible biomarker for diagnosis prognosis of diabetic nephropathy (DN). this study, we examined association TyG in DN by meta-analyzing relevant literature. Methods Literature search serial omissions articles yielded eight studies inclusion meta-analysis. Relevant data were extracted from included subjected to analysis using Review Manager 5.4. Pooled odds ratios (ORs) 95% confidence intervals (CIs) computed studies. Subgroup was also performed control participant's ethnicity. Results Out 1,229 resulting studies, only based on set criteria. The overall pooled outcomes resulted significant homogeneous findings favoring development among patients diabetes due high levels TyG. present study are supported outcomes, stability findings, significance level. Conclusion Overall, our results show that development, especially Asian population diabetes. However, further longitudinal multi-ethnic needed verify these claims.

Language: Английский

Citations

0

The Relationship between the Triglyceride-Glucose Index and Vitamin D Levels in American Adults DOI

Ishwarlal Jialal,

Beverley Adams‐Huet

Published: March 1, 2025

Original Research Articles The Relationship between the Triglyceride-Glucose Index and Vitamin D Levels in American Adults Ishwarlal Jialal 1,* Beverley Adams-Huet 2 1 Retired Distinguished Professor of Internal Medicine Pathology, UC Davis School Medicine, 2616 Hepworth Drive, Davis, CA 95618, USA UT Southwestern Medical Center, Dallas, TX 75390, * Correspondence: [email protected]; Tel.: +1-530-902-0125 Received: 16 December 2024; Accepted: 28 Published: March 2025 Abstract: triglyceride-glucose (TyG) index is a cost-effective, reliable validated measure insulin resistance. Furthermore it promising biomarker Metabolic Syndrome (MetS), Type-2 Diabetes (T2DM) premature atherosclerotic cardiovascular diseases (ASCVD). Although groups from numerous countries especially Asia have shown an inverse relationship levels TyG index, there severe paucity data by US investigators. Accordingly, present preliminary report we investigated tertiles also undertook correlations with relevant variables. increased significantly over combined group MetS (n = 41) controls 37). However was no significant change plasma tertiles, p 0.15. We show modest but correlation D. In conclusion this pilot study failed to see decrease increasing showed correlation. Hence future studies much larger sample sizes participants can settle important issue.

Language: Английский

Citations

0

Multiomics analysis demonstrated a strong correlation between lipid-mediated chronic kidney disease and stroke: Potential benefits of affected patient cohorts DOI Creative Commons
Yansong Liu,

J. Zhang,

Jiayue Han

et al.

Journal of Stroke and Cerebrovascular Diseases, Journal Year: 2025, Volume and Issue: unknown, P. 108285 - 108285

Published: March 1, 2025

ObjectivePatients with chronic kidney disease (CKD) exhibit a disproportionately elevated risk of stroke, frequently compounded by renal impairment. Therapeutic strategies for stroke based on Traditional Chinese Medicine's 'kidney–brain axis' theory demonstrate clinical efficacy, indicating that there may be potential association between and which needs further exploration verification.MethodsIn this study, databases such as GEO, NHANES, GWAS were used to collect data related CKD stroke. GEO gene enrichment analysis was explore possible mediating factors NHANES verify the results. Mendelian randomization confirm causal relationship effect in these two diseases.ResultsCross-gene transcription factor revealed lipid-related pathways have Logistic regression changes LDL-C, HDL-C, TC, TG can affect occurrence determine verified effects lipid factors, TG, diseases. Our findings highlight relevance bridging By integrating predictive biomarkers multi-level diagnostics, study paves way AI-driven precision medicine prevention. Specifically, machine learning approaches could enhance stratification high-risk cohorts, enabling tailored interventions lipid-lowering therapies personalized monitoring protocols. These align emerging paradigms healthcare benefits population-specific management.ConclusionThis provides new insights into interactive scientific basis process syndrome differentiation treatment under guidance "kidney–brain correlation". Moreover, influence metabolism diseases investigated, deepened researchers' understanding mechanism

Language: Английский

Citations

0

The predictive value of triglyceride‐glucose index, lipid accumulation product and lipid ratio on metabolic syndrome in polycystic ovary syndrome patients DOI
Ning Ma,

Xiaoning Cui,

Na Wang

et al.

Journal of Obstetrics and Gynaecology Research, Journal Year: 2025, Volume and Issue: 51(4)

Published: April 1, 2025

Abstract Objectives To identify reliable indicators to predict the occurrence of metabolic syndrome (MetS) and provide an effective way prevent it in polycystic ovary (PCOS), we explored relationships between triglyceride‐glucose index (Ty‐G), lipid accumulation product (LAP), ratio, MetS. Methods We detected relationship Ty‐G index, LAP, incidence In addition, classified LAP into tertiles determine efficacy these predicting risk Finally, effects ratio on prediction MetS were evaluated with receiver operating characteristic (ROC) curve. Results Our results indicate that was 38% 134 patients PCOS, independent factors for significantly increased LAP. The ROC curve showed all good performance PCOS patients, but had highest predictive value, a cut‐off value 8.70. Conclusions study revealed plays important role patients. monitoring blood glucose levels is approach preventing clinically regardless age, weight management should be strictly implemented overweight obese

Language: Английский

Citations

0

Circulating Neutrophil and Monocyte Ratios to High Density Lipoprotein-Cholesterol Are Elevated with Increased Triglyceride-Glucose Index DOI

Ishwarlal Jialal,

Beverley Adams‐Huet

Published: April 8, 2025

Original Research Articles Circulating Neutrophil and Monocyte Ratios to High Density Lipoprotein-Cholesterol Are Elevated with Increased Triglyceride-Glucose Index Ishwarlal Jialal 1,*,† Beverley Adams-Huet 2 1 UC Davis School of Medicine, 2616 Hepworth Drive, Davis, CA 95618, USA UT Southwestern Medical Center, Dallas, TX 75390, * Correspondence: [email protected]; Tel.: +1-530-902-0125 † Retired Distinguished Professor Internal Medicine Pathology. Received: 15 March 2025; Accepted: 28 Published: 8 April 2025 Abstract: The triglyceride-glucose (TyG) index, is a promising biomarker Metabolic Syndrome (MetS), Type-2 Diabetes (T2DM) premature atherosclerotic cardiovascular diseases (ASCVD). Whilst increased inflammation crucial mechanism in the pathogenesis these disorders there general paucity data on association TyG index inflammation. Accordingly, present report we investigated relationship between tertiles accepted measures inflammation, ratios (PMN):HDL-C Monocyte(Mono):HDL-C cohort 99 individuals (41 controls 58 patients MetS). Both PMN:HDL-C Mono:HDL-C significantly increasing both correlated index. Also was significant correlation certain biomarkers which also over Mono:HDL-C. In conclusion, this cross-sectional study, provide further support for pro-inflammatory phenotype an increase as manifest by increases ratio professional phagocytes (neutrophils monocytes) HDL-C, potential explain risk cardio-metabolic syndromes.

Language: Английский

Citations

0

Association between triglyceride glucose index and depression in polycystic ovary syndrome DOI Creative Commons
G. Chen,

Lin Zhu,

Ying Lou

et al.

BMC Endocrine Disorders, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 21, 2025

Language: Английский

Citations

0

Etiology, Pathophysiology, and Treatment Strategies in the Prevention and Management of Metabolic Syndrome DOI Open Access
Ritika Patial,

Irene Batta,

Manish Thakur

et al.

Archives of Internal Medicine Research, Journal Year: 2024, Volume and Issue: 7(4)

Published: Jan. 1, 2024

Metabolic Syndrome (MetS) is a complex cluster of metabolic irregularities that significantly increase the risk developing chronic conditions, such as hypertension, type 2 diabetes, cardiovascular diseases, and other related disorders. This review aims to provide comprehensive overview current understanding MetS, its etiology underlying pathogenesis, management strategies. MetS characterized by central obesity, high blood pressure, insulin resistance, hyperglycemia, hypertriglyceridemia, low high-density lipoprotein cholesterol levels. The prevalence remarkably high, affecting approximately 25% global population, particularly in developed nations with inactive lifestyles high-calorie diets. development involves genetic acquired factors, resulting an inflammatory state enhances for disease. biochemical alterations observed establish pathological connections between neurodegenerative conditions. Despite clinical importance, there still debate regarding precise components pathophysiological associations among elements. However, advancements therapeutic measures, including drug therapies, surgical options, experimental methods present promising avenues managing potentially reversing MetS. Further investigation critical because significant implications public health connection conditions severe outcomes, placing substantial burden on healthcare system society.

Language: Английский

Citations

2