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Endocrinology Research Analysis

5 papers

October’s endocrinology research converged on β-cell restoration, immunometabolic control, and digitally enabled care. Human islet transcriptomics defined recovery signatures that prioritize disease-modifying targets for type 2 diabetes, while mechanistic work mapped a TRAF6-governed mitophagy node and the SGLT2→SAM/H3K27me3 epigenetic axis. Clinically, a Bayesian decision support system safely lowered HbA1c in adults with type 1 diabetes on multiple daily injections, and prevention data reaffir

Summary

October’s endocrinology research converged on β-cell restoration, immunometabolic control, and digitally enabled care. Human islet transcriptomics defined recovery signatures that prioritize disease-modifying targets for type 2 diabetes, while mechanistic work mapped a TRAF6-governed mitophagy node and the SGLT2→SAM/H3K27me3 epigenetic axis. Clinically, a Bayesian decision support system safely lowered HbA1c in adults with type 1 diabetes on multiple daily injections, and prevention data reaffirmed prediabetes remission—independent of weight loss—as a protective goal. Geroscience advanced with exosomal CtBP2, a secreted metabolic sensor that extends lifespan in mice and correlates with human cardiometabolic risk.

Selected Articles

1. Functional recovery of islet β cells in human type 2 diabetes: Transcriptome signatures unveil therapeutic approaches.

87Science advances · 2025PMID: 41071888

This human islet study defines transcriptomic signatures associated with β-cell functional recovery across remission-inducing contexts (diet, surgery, pharmacotherapy), mapping pathways and biomarkers that can prioritize disease-modifying interventions for type 2 diabetes.

Impact: Provides a human-tissue molecular framework to identify and prioritize targets for β-cell recovery — a critical step toward disease-modifying T2D therapies.

Clinical Implications: Supports biomarker-driven selection and early-phase testing of interventions aimed at sustained β-cell function and remission in T2D.

Key Findings

  • Human islet transcriptome signatures associate with β-cell functional recovery after remission-inducing interventions.
  • Pathways amenable to therapeutic targeting are mapped alongside candidate biomarkers to track recovery.
  • Resource enables prioritization of disease-modifying strategies for T2D.

2. TRAF6 integrates innate immune signals to regulate glucose homeostasis via Parkin-dependent and Parkin-independent mitophagy.

85.5Science advances · 2025PMID: 41061082

Using mouse genetics and human islets, the study shows TRAF6 is critical under metabolic stress for insulin secretion, mitochondrial respiration, and mitophagy; it coordinates Parkin-dependent mitophagy, and Parkin deletion can rescue TRAF6-deficiency–related intolerance by enabling receptor-mediated mitophagy.

Impact: Uncovers a cross-regulatory node linking innate immune signaling to mitophagy that preserves β-cell function under diabetogenic stress — a novel, druggable axis.

Clinical Implications: Nomination of mitophagy pathway components for pharmacologic modulation to preserve β-cell function; mitophagy biomarkers may aid patient stratification.

Key Findings

  • TRAF6 is essential for insulin secretion, mitochondrial respiration, and mitophagy in stressed islets.
  • TRAF6 coordinates Parkin-dependent mitophagy; Parkin deletion rescues glucose intolerance from TRAF6 loss via receptor-mediated mitophagy.
  • Defines a cross-regulatory node for Parkin-dependent and -independent mitophagy in β cells.

3. The secreted metabolite sensor CtBP2 links metabolism to healthy lifespan.

84.5Nature aging · 2025PMID: 41062862

CtBP2 is secreted in exosomes in response to reductive metabolism; exosomal CtBP2 extends lifespan and reduces frailty in aged mice via CYB5R3 and AMPK activation, while human serum CtBP2 declines with age and inversely correlates with cardiovascular disease.

Impact: Identifies a secreted, exosome-mediated metabolic sensor with causal effects on lifespan in mice and correlations in humans, opening biomarker and interventional avenues in aging.

Clinical Implications: Merits prospective validation of serum/exosomal CtBP2 as an aging and cardiometabolic biomarker; exosome- or CtBP2-targeted strategies may be explored after safety evaluation.

Key Findings

  • Exosomal CtBP2 administration extends lifespan and reduces frailty in aged mice.
  • CtBP2 activates CYB5R3 and AMPK signaling.
  • Human serum CtBP2 declines with age and inversely associates with cardiovascular disease.

4. Prevention of type 2 diabetes through prediabetes remission without weight loss.

87.5Nature medicine · 2025PMID: 41023486

Post hoc analyses of a multicenter lifestyle trial (PLIS), replicated in the US DPP, show that achieving prediabetes remission—even without weight loss—reduces incident T2D, potentially via improved insulin sensitivity, enhanced β-cell GLP-1 responsiveness, and adipose redistribution toward subcutaneous depots.

Impact: Challenges weight-centric prevention by elevating glycaemic remission itself as a protective target, with replicated mechanistic insights.

Clinical Implications: Incorporate explicit glycaemic remission targets into prevention programs and monitor glycaemic metrics beyond weight; consider interventions that enhance insulin sensitivity and β-cell GLP-1 responsiveness.

Key Findings

  • Prediabetes remission without weight loss protects against incident T2D.
  • Remission associates with improved insulin sensitivity and increased β-cell GLP-1 responsiveness.
  • Responders demonstrate adipose redistribution toward subcutaneous depots; findings reproduced in US DPP.

5. A Bayesian decision support system for automated insulin doses in adults with type 1 diabetes on multiple daily injections: a randomized controlled trial.

85.5Nature communications · 2025PMID: 41022835

In a 12-week randomized trial of adults with type 1 diabetes on multiple daily injections and CGM, a Bayesian decision support system providing weekly basal and prandial insulin recommendations reduced HbA1c by 0.40% versus a non-adaptive bolus calculator without severe hypoglycemia or DKA.

Impact: Demonstrates randomized, clinically meaningful HbA1c reduction using algorithmic titration in MDI users, broadening access where closed-loop systems are unavailable.

Clinical Implications: Supports deployment of validated decision support tools integrated with CGM to optimize weekly dosing for adults on MDI without increasing severe hypoglycemia risk.

Key Findings

  • Bayesian DSS reduced HbA1c by 0.40% versus control over 12 weeks (p=0.025).
  • No severe hypoglycemia or diabetic ketoacidosis occurred in either arm.
  • Weekly algorithm-driven basal and prandial dosing recommendations were feasible alongside CGM.