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        <datestamp>2026-09-23T11:58:24Z</datestamp>
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          <dc:title>Table 1_Insulin resistance, metabolic phenotypes, and the obesity paradox: a triglyceride glucose-body mass index framework in partial kidney diseases.docx</dc:title>
          <dc:creator>Xiangzhe Sun (25097128)</dc:creator>
          <dc:creator>Lu Bai (343118)</dc:creator>
          <dc:creator>Changchang Liang (23090237)</dc:creator>
          <dc:creator>Shuai Guo (1353816)</dc:creator>
          <dc:creator>Yongliang Chen (3567410)</dc:creator>
          <dc:creator>Maodong Liu (363285)</dc:creator>
          <dc:subject>Cell Metabolism</dc:subject>
          <dc:subject>CKM syndrome</dc:subject>
          <dc:subject>insulin resistance</dc:subject>
          <dc:subject>kidney disease</dc:subject>
          <dc:subject>obesity paradox</dc:subject>
          <dc:subject>TyG-BMI</dc:subject>
          <dc:description>Background&lt;p&gt;Insulin resistance(IR) is a key driver of cardiorenal-metabolic diseases. The Triglyceride Glucose-Body Mass Index (TyG-BMI), a composite marker of lipid-glucose metabolism and overall adiposity, has gained traction as a predictive tool. Its clinical application, however, is complicated by non-linear and sometimes paradoxical associations with clinical outcomes, a phenomenon reminiscent of the”obesity paradox”. This review critically evaluates the performance of TyG-BMI across the spectrum of kidney disease, aiming to reconcile these divergent findings through a metabolic-endocrine framework.&lt;/p&gt;Methods&lt;p&gt;We performed a narrative synthesis of observational studies and secondary analyses of large-scale public databases such as National Health and Nutrition Examination Survey(NHANES), China Health and Retirement Longitudinal Study(CHARLS), UK Biobank, Medical Information Mart for Intensive Care IV(MIMIC-IV), identified through PubMed and Google Scholar, to evaluate the association of TyG-BMI with the incidence, progression, and prognosis of acute kidney injury (AKI), diabetic kidney disease (DKD), chronic kidney disease (CKD), and Cardiovascular-Kidney-Metabolic syndrome(CKM).&lt;/p&gt;Results&lt;p&gt;TyG-BMI shows significant, context-dependent predictive value. In early-stage or metabolically heterogeneous populations, elevated TyG-BMI consistently predicts higher disease risk. Conversely, in advanced stages (e.g., end-stage renal disease, stage 4 CKM), the association frequently becomes U-shaped, with low TyG-BMI paradoxically linked to excess mortality. This reflects its dual nature: the TyG component captures ‘metabolic toxicity’, while BMI proxies ‘nutritional reserve’. Thus, the ‘obesity paradox’ may represent a metabolic phenotype spectrum—from metabolically healthy obesity (MHO) to metabolically unhealthy lean (MUL)—that the combination of its TyG and BMI components helps differentiate. For disease incidence prediction, TyG-BMI is often outperformed by indices of central obesity (e.g., Triglyceride-Glucose-Waist Circumference Index(TyG-WC), Triglyceride-Glucose–Waist-to-Height Ratio(TyG-WHtR); for mortality in advanced illness, the standalone TyG index may be superior.&lt;/p&gt;Conclusion&lt;p&gt;TyG-BMI is a valuable tool for metabolic phenotyping and risk stratification in kidney disease, with its paradoxical associations highlighting the complex interplay between metabolic health and nutritional reserve. Future research must establish context-specific clinical thresholds. TyG-BMI is preferentially useful in settings where waist circumference is unavailable, in early CKD screening, and in select type 2 diabetes mellitus (T2DM) subgroups. In advanced CKD, dialysis, critical illness, and CKM stage 4, alternative indices such as TyG index, TyG-WC, or TyG-WHtR should be prioritized due to the confounding effects of fluid overload and catabolic state.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T11:58:24Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fendo.2026.1915011.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_1_Insulin_resistance_metabolic_phenotypes_and_the_obesity_paradox_a_triglyceride_glucose-body_mass_index_framework_in_partial_kidney_diseases_docx/33973030</dc:relation>
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