ArticleBMC endocrine disorders2022
Metabolic signatures of insulin resistance in non-diabetic individuals.
Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Environmental Planning and Non-Communicable Diseases: A Systematic Review on the Role of the Metabolomic Profile.International journal of environmental research and public health · 2023Pooled it
- Association of the preoperative triglyceride-glucose index with postoperative atrial fibrillation following esophagectomy: a retrospective cohort study with a focus on non-diabetic patients.Frontiers in nutrition · 2026Article
- Emerging biomarkers for gestational diabetes mellitus and related pediatric outcomes.World journal of clinical pediatrics · 2025Review
- Multi-matrix metabolomics in rare monogenic diabetes syndromes: Analysis of oral fluids and serum in carriers of pathogenic variants in theComputational and structural biotechnology journal · 2025Article
- Cathelicidin: Insights into Its Impact on Metabolic Syndrome and Chronic Inflammation.Metabolites · 2024Review
- Comparative study of insulin resistance surrogate indices to predict mild cognitive impairment among Chinese non-diabetic adults.Lipids in health and disease · 2024Article
- Characteristics of obstructive sleep apnea related to insulin resistance.Sleep & breathing = Schlaf & Atmung · 2024Article
- Association between serum uric acid-to-high-density lipoprotein cholesterol ratio and insulin resistance in an American population: A population-based analysis.Journal of diabetes investigation · 2024Article
- The ratio of alanine aminotransferase to high-density lipoprotein cholesterol is positively correlated with the insulin resistance in American adults: a population-based cohort study.Frontiers in medicine · 2024Article
- Role of Impaired Glycolysis in Perturbations of Amino Acid Metabolism in Diabetes Mellitus.International journal of molecular sciences · 2023Review
- Serum metabolomics identified specific lipid compounds which may serve as markers of disease progression in patients with Alström and Bardet-Biedl syndromes.Frontiers in molecular biosciences · 2023Article
- Postmortem Metabolomics of Insulin Intoxications and the Potential Application to Find Hypoglycemia-Related Deaths.Metabolites · 2022Article
- Biogenic Amine Levels Markedly Increase in the Aqueous Humor of Individuals with Controlled Type 2 Diabetes.International journal of molecular sciences · 2022Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInsulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity. Here, we have measured a wide array of metabolites (30 acylcarnitines and 20 amino acids) with the MS/MS and investigated the association of metabolic profile with insulin resistance.
methodsThe study population (n = 403) was randomly chosen from non-diabetic participants of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS 2016). STEPS 2016 is a population-based cross-sectional study conducted periodically on adults aged 18-75 years in 30 provinces of Iran. Participants were divided into two groups according to the optimal cut-off point determined by the Youden index of HOMA-IR for the diagnosis of metabolic syndrome. Associations were investigated using regression models adjusted for age, sex, and body mass index (BMI).
resultsPeople with high IR were significantly younger, and had higher education level, BMI, waist circumference, FPG, HbA1c, ALT, triglyceride, cholesterol, non-HDL cholesterol, uric acid, and a lower HDL-C level. We observed a strong positive association of serum BCAA (valine and leucine), AAA (tyrosine, tryptophan, and phenylalanine), alanine, and C0 (free carnitine) with IR (HOMA-IR); while C18:1 (oleoyl L-carnitine) was inversely correlated with IR.
conclusionsIn the present study, we identified specific metabolites linked to HOMA-IR that improved IR prediction. In summary, our study adds more evidence that a particular metabolomic profile perturbation is associated with metabolic disease and reemphasizes the significance of understanding the biochemistry and physiology which lead to these associations.
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