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Daily Endocrinology Research Analysis

3 papers

Analyzed 84 papers and selected 3 impactful papers.

Summary

Three impactful endocrinology papers stand out today: a mechanistic mouse study reveals that exclusive breastfeeding imprints AMPK-dependent thermogenic memory in brown fat via a breast milk EV miR-125a-5p–HIF1AN/AMPK/αKG axis, offering durable metabolic protection. A large, double-blinded, non-selection study shows that reporting putative PGT-A mosaicism adds no predictive value for live birth, challenging current IVF embryo selection practices. The IDF Diabetes Atlas 11th edition projects 589 million adults with diabetes in 2024, rising to ~853 million by 2050, underscoring the urgency of tailored prevention.

Research Themes

  • Metabolic programming and thermogenic memory via breastfeeding
  • Reproductive endocrinology and embryo genetics: clinical utility of PGT-A mosaicism reporting
  • Global diabetes epidemiology and projections for 2050

Selected Articles

1. Exclusive Breastfeeding Drives AMPK-Dependent Thermogenic Memory in BAT and Promotes Long-Term Metabolic Benefits in Offspring.

85.5Level IIICohortAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025PMID: 41417620

In mice, exclusive breastfeeding imprints a durable AMPK- and α-ketoglutarate–dependent thermogenic program in brown adipose tissue via breast milk EV miR-125a-5p targeting HIF1AN. This thermogenic memory confers long-term resistance to diet-induced obesity and glucose intolerance; AMPK inhibition abrogates these benefits and αKG supplementation rescues impaired BAT in mixed-fed mice.

Impact: This study uncovers a previously unrecognized, mechanistic link between exclusive breastfeeding and long-term metabolic health through a defined HIF1AN/AMPK/αKG axis in BAT. It provides actionable molecular targets (AMPK, αKG, EV-miR-125a-5p) for metabolic programming.

Clinical Implications: Reinforces recommendations for exclusive breastfeeding as a metabolic preventive strategy and nominates AMPK/αKG and milk EV miRNAs as translational targets for obesity and insulin resistance prevention.

Key Findings

  • Mixed formula feeding impaired BAT morphology, mitochondria, and thermogenesis, increasing adiposity and glucose intolerance under HFD.
  • Exclusive breastfeeding preserved BAT thermogenic function for up to 12 weeks post-transplant and sustained AMPK activation.
  • Breast milk EV miR-125a-5p targeted HIF1AN, enhancing AMPK signaling; AMPK inhibition abolished benefits.
  • AMPK-induced α-ketoglutarate was essential for BAT thermogenesis; αKG supplementation rescued BAT defects in mixed-fed mice.

Methodological Strengths

  • Comprehensive mechanistic approach including transplantation, transcriptomics, pharmacological inhibition, and metabolite rescue.
  • Multiple independent in vivo validations across feeding paradigms with convergent molecular evidence (EV miRNA targeting).

Limitations

  • Preclinical mouse model; human generalizability and dose-response of EV miRNAs remain untested.
  • Sample sizes and sex-specific effects are not detailed in the abstract; long-term safety of αKG supplementation requires evaluation.

Future Directions: Prospective human studies to test breastfeeding-associated BAT programming markers (AMPK/αKG signatures, EV miR-125a-5p) and interventional trials targeting AMPK/αKG pathways for metabolic disease prevention.

2. PGT-A Mosaicism Reporting Lacks Clinical Predictive Value For Live Birth in a Multisite, Double-Blinded Study with Independent Validation.

84.5Level IICohortAmerican journal of obstetrics and gynecology · 2025PMID: 41412422

In a large, double-blinded, non-selection study with independent validation, putative mosaicism (ICN) was associated with only a modest reduction in live birth and did not improve predictive models. Routine reporting of mosaicism offered no clinical benefit and should not guide embryo selection in IVF.

Impact: This study challenges a widely adopted laboratory reporting practice in IVF and provides high-level evidence that mosaic calls do not improve clinical decision-making, potentially reducing embryo discard and improving access to transfer.

Clinical Implications: Clinicians should avoid deprioritizing or discarding embryos solely based on putative mosaicism; counseling and embryo selection should rely on established clinical and embryological factors rather than ICN labels.

Key Findings

  • Among 9,828 SETs, 14.4% had ICN (8.8% segmental, 5.6% whole-chromosome) when unblinded post-transfer.
  • Live birth was modestly lower with ICN vs euploid (53.2% vs 60.0%; adjusted OR 0.79), driven by high-level ICN.
  • Adding ICN to predictive models did not improve discrimination (AUC 0.552 vs 0.555).
  • Miscarriage, obstetric, and neonatal outcomes were comparable across groups.

Methodological Strengths

  • Multisite, double-blinded, non-selection design minimizing selection and reporting biases.
  • Large sample with independent international validation enhances generalizability.

Limitations

  • Platform- and laboratory-specific definitions of ICN/mosaicism may limit transferability to other technologies.
  • Observational non-selection design is not randomized; residual confounding cannot be fully excluded.

Future Directions: Standardize mosaicism definitions across platforms; evaluate cost, access, and patient-reported outcomes when de-emphasizing mosaic reporting; explore embryo self-correction biomarkers beyond ICN.

3. 11th edition of the IDF Diabetes Atlas: global, regional, and national diabetes prevalence estimates for 2024 and projections for 2050.

68Level IISystematic ReviewThe lancet. Diabetes & endocrinology · 2025PMID: 41412135

The 11th IDF Diabetes Atlas estimates that 11.11% of adults (589 million) live with diabetes in 2024, projected to 12.96% (853 million) by 2050, with higher prevalence in men, urban areas, and middle-income countries. These standardized, country-level estimates underscore the need for tailored prevention and control strategies.

Impact: Provides harmonized, globally comparable prevalence estimates and projections to 2050 for policy planning, resource allocation, and benchmarking across countries.

Clinical Implications: Supports national screening, prevention, and health system planning with stratification by sex, age, urbanicity, and income level; informs prioritization of interventions in rapidly urbanizing and middle-income settings.

Key Findings

  • Global adult diabetes prevalence in 2024 is 11.11% (589 million), projected to 12.96% (853 million) by 2050.
  • Prevalence is higher in males (11.55%) than females (10.68%) and in urban (12.26%) versus rural (9.23%) settings.
  • Middle-income countries have the highest prevalence (11.46%), followed by high- and low-income countries.
  • Prevalence peaks at ages 75–79 (24.79%) and remains high above 65 years (23.72%).

Methodological Strengths

  • Large-scale synthesis of 246 studies with standardized logistic modeling across 215 countries.
  • Stratification by sex, age bands, and urban-rural residence with national standardization.

Limitations

  • Extrapolation for countries lacking in-country data may introduce uncertainty.
  • Estimates are prevalence-based; incidence, complications, and glycemic control are not directly assessed.

Future Directions: Integrate incidence, complications, and treatment access into future iterations; improve in-country surveillance to reduce extrapolation uncertainty; assess impacts of prevention policies longitudinally.