Evidence map›Paper›PMID 42366285›Full record

ArticleBiological trace element research2026

Association of Serum Lithium Levels with Insulin Resistance in Type-2 Diabetes Patients.

Pramod Kumar, Rasna Gupta, Manoj Yadav, Rahul Patel, Mahendra Kumar Meena, Ankit Gupta

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Article in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pramod KumarDepartment of Internal Medicine, All India Institute of Medical Sciences, Raebareli, U.P, India.
Rasna GuptaDepartment of Pediatrics, All India Institute of Medical Sciences, Raebareli, U.P, India.
Manoj YadavDepartment of Biochemistry, All India Institute of Medical Sciences, Raebareli, U.P, India.
Rahul PatelDepartment of Pediatrics, All India Institute of Medical Sciences, Raebareli, U.P, India.
Mahendra Kumar MeenaDepartment of Internal Medicine, All India Institute of Medical Sciences, Raebareli, U.P, India.
Ankit GuptaDepartment of Biochemistry, All India Institute of Medical Sciences, Raebareli, U.P, India. guptaankitbiochem07@gmail.com.ORCID http://orcid.org/0000-0002-0503-2322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance arises from impaired insulin signaling, leading to reduced glucose uptake and the progression of type 2 diabetes mellitus. Experimental evidence indicates that lithium modulates insulin signaling pathways; however, its role in the development of insulin resistance remains poorly defined. Anthropometric, biochemical, and lifestyle data were collected. IR was assessed via HOMA-IR, and insulin processing/clearance was evaluated by insulin to c-peptide ratio (ICPR). Univariate and multivariate logistic regression identified independent predictors of IR. ROC analysis assessed the diagnostic performance of Li. Linear regression examined associations between biochemical parameters and IR. A cross-sectional study was conducted among 211 adults with T2D attending AIIMS Raebareli; of these, 172 participants with complete data constituted the final analytical cohort, including 122 (70.9%) with insulin resistance (IR). The IR group exhibited significantly higher fasting and postprandial glucose, insulin, C-peptide, ICPR, total cholesterol, and TyG index, and lower serum lithium levels than the non-IR group. Multivariate logistic regression analyses identified ICPR, TyG index, and serum lithium (OR = 3.69, 95% CI: 1.190-11.437, P = 0.024) as independent predictors of IR. ROC analysis showed that a lithium cutoff of 0.1 mmol/L predicted IR, with 81.9% sensitivity and 56.5% specificity (AUC = 0.863). Lower lithium levels were associated with higher insulin, C-peptide, and ICPR, and linear regression revealed a significant inverse association between lithium and HOMA-IR (β = -0.233, p = 0.007). Lower serum lithium levels independently predict insulin resistance in T2DM, alongside ICPR and TyG index. This association with hyperinsulinemia and impaired insulin processing/clearance suggests a potential mechanistic role for lithium in metabolic dysregulation.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceLithiumBlood GlucoseC-PeptideCross-Sectional StudiesFemaleHumansInsulinMaleMiddle AgedBlood GlucoseC-PeptideInsulinLithiumHOMA-IRInsulin resistanceInsulin to c-peptide ratio (ICPR)Serum lithiumType-2 diabetes mellitus

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.