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Daily Report

Daily Endocrinology Research Analysis

03/10/2025
3 papers selected
3 analyzed

Three impactful endocrinology studies stood out today: a mechanistic discovery revealing a Mincle–oncostatin M axis that modulates adipose tissue fibrosis in obesity; a large-scale genetic-epidemiology analysis disentangling causal versus non-causal links between age at menarche and coronary artery disease risk; and a genomic study in Sudanese children with adrenal insufficiency identifying recurrent mutations and a previously unrecognized association with metachromatic leukodystrophy.

Summary

Three impactful endocrinology studies stood out today: a mechanistic discovery revealing a Mincle–oncostatin M axis that modulates adipose tissue fibrosis in obesity; a large-scale genetic-epidemiology analysis disentangling causal versus non-causal links between age at menarche and coronary artery disease risk; and a genomic study in Sudanese children with adrenal insufficiency identifying recurrent mutations and a previously unrecognized association with metachromatic leukodystrophy.

Research Themes

  • Immunometabolic crosstalk in obesity and adipose fibrosis
  • Genetic epidemiology of reproductive timing and cardiometabolic risk
  • Precision genomics for adrenal insufficiency in low-resource settings

Selected Articles

1. Novel Cell-to-Cell Communications Between Macrophages and Fibroblasts Regulate Obesity-Induced Adipose Tissue Fibrosis.

85.5Level VBasic/Mechanistic Research
Diabetes · 2025PMID: 40063503

Using single-cell and spatial transcriptomics in diet-induced obese mice, the authors identify a Mincle+ macrophage subcluster in crown-like structures that induces oncostatin M to suppress collagen gene expression in nearby fibroblasts. Loss of Osm in immune cells exacerbated adipose fibrosis in vivo, and human adipose tissue showed correlated MINCLE–OSM expression. This defines an immunometabolic axis that restrains fibrosis during obesity.

Impact: This study uncovers a previously unrecognized macrophage–fibroblast signaling axis that modulates adipose fibrosis, integrating single-cell, spatial, in vivo, and human validation. It provides a mechanistic basis and potential target for anti-fibrotic interventions in obesity.

Clinical Implications: Targeting the Mincle–OSM pathway could be explored to limit adipose tissue fibrosis and metabolic complications in obesity. Biomarkers such as MINCLE/OSM expression in adipose biopsies may stratify fibrotic risk.

Key Findings

  • Identified a Mincle-expressing macrophage subcluster localized to crown-like structures in obese adipose tissue.
  • Mincle signaling upregulated oncostatin M, which suppressed collagen gene expression in adipose fibroblasts.
  • Immune-cell Osm deficiency increased adipose tissue fibrosis in vivo; human obese adipose showed positive MINCLE–OSM correlation.

Methodological Strengths

  • Integration of single-cell and spatial transcriptomics with in vivo functional genetics.
  • Cross-species validation including human adipose tissue correlations.

Limitations

  • Primary mechanistic work in mouse models; human causality not established.
  • Therapeutic manipulability and safety of targeting Mincle–OSM require evaluation.

Future Directions: Test pharmacologic or biologic modulation of Mincle–OSM in preclinical models; define clinical biomarkers and assess associations with metabolic outcomes in humans.

UNLABELLED: Recent evidence has shown that adipose tissue eventually develops fibrosis through complex cellular cross talk. Although advances in single-cell transcriptomics have provided new insights into cell diversity during this process, little is known about the interactions among the distinct cell types. In this study, we used single-cell analytical approaches to investigate cell-to-cell communications between macrophages and fibroblasts in the adipose tissue of diet-induced obese mice. Spatial transcriptomics was used to understand local cellular interaction within crown-like structures (CLS), a characteristic histological feature of adipose tissue in obesity driving inflammation and fibrosis. Macrophages and fibroblasts were divided into several subclusters that appeared to interact more intensely and complexly with the degree of obesity. Besides previously reported lipid-associated macrophages (LAMs), we found a small subcluster expressing macrophage-inducible C-type lectin (Mincle), specifically localizing to CLS. Mincle signaling increased the expression of oncostatin M (Osm), suppressing collagen gene expression in adipose tissue fibroblasts. Consistent with these findings, Osm deficiency in immune cells enhanced obesity-induced adipose tissue fibrosis in vivo. Moreover, OSM expression was positively correlated with MINCLE expression in human adipose tissue during obesity. Our results suggest that Osm secreted by Mincle-expressing macrophages is involved in dynamic adipose tissue remodeling in the proximity of CLS. ARTICLE HIGHLIGHTS: Adipose tissue fibrosis is a complex and dynamic process that involves many cell types, such as macrophages and fibroblasts. Crown-like structures, which drive inflammation and fibrosis in obesity, are excellent targets for single-cell and spatial transcriptomics. We found novel cell-to-cell communications between macrophages and fibroblasts in adipose tissue from diet-induced obese mice, particularly during the fibrotic phase. We elucidated the role of the macrophage-inducible C-type lectin-oncostatin M axis in obesity-induced adipose tissue fibrosis.

2. Age at Menarche and Coronary Artery Disease Risk: Divergent Associations With Different Sources of Variation.

78.5Level IICohort
The Journal of clinical endocrinology and metabolism · 2025PMID: 40059721

In 201,037 UK Biobank women with validation in 23,268 WGHS participants, the authors decomposed age at menarche (AAM) into polygenic and non-polygenic components. Earlier genetically predicted AAM showed linear associations with higher CAD risk and risk factors, whereas PGS-adjusted (non-polygenic) AAM showed U-shaped associations. Findings support a causal role for earlier AAM in CAD, while later AAM likely reflects non-causal shared determinants.

Impact: This analysis challenges the prevailing U-shaped interpretation by separating genetic from non-genetic AAM variation, refining causal inference for reproductive timing and cardiometabolic risk.

Clinical Implications: Risk stratification should recognize that early menarche likely confers causal cardiometabolic risk, whereas late menarche may signal underlying dysmetabolism rather than be a causal target; interventions should focus on mediators (glycemia, lipids, adiposity).

Key Findings

  • Genetically predicted earlier AAM showed linear associations with higher CAD risk and adverse cardiometabolic profiles.
  • PGS-adjusted AAM exhibited U-shaped associations with CAD, HbA1c, triglycerides, HDL-C, and waist-hip ratio.
  • Results imply early AAM may be causally linked to CAD, while later AAM reflects shared non-genetic determinants of both delayed menarche and CAD risk.

Methodological Strengths

  • Very large sample with external validation (UK Biobank and WGHS).
  • Innovative decomposition of exposure into polygenic and non-polygenic components with spline-based modeling.

Limitations

  • Follow-up duration and event adjudication details not specified in abstract.
  • Polygenic scores capture common variants; residual confounding from environment and rare variants remains.

Future Directions: Mendelian randomization integrating rare variants and longitudinal mediation analyses to test glycemia, lipids, and adiposity as pathways; inform risk scores that differentiate causal from non-causal signals.

BACKGROUND: In women, both earlier and later age at menarche (AAM) are associated with increased risk of coronary artery disease (CAD). This study examined if the relationship of AAM with CAD and CAD risk factors differs for different underlying sources of variation in AAM-specifically, variation that is attributable to common genetic variants, as represented by a polygenic score (PGS), vs variation in AAM that is independent of the PGS (eg, from environment, rare genetic variants). METHODS: Primary analyses were conducted on data from 201 037 women in the UK Biobank and validation studies on data from 23 268 women in the Women's Genome Health Study. For each individual, a PGS for AAM was calculated; then, 2 variables were estimated from linear regression models: genetically predicted AAM (the estimated AAM for each woman solely due to the effects of common genetic variants) and PGS-adjusted AAM (the estimated AAM for each woman solely due to factors other than the PGS). Logistic and linear regression with linear splines were then used to study the relationships of these variables with CAD and CAD risk factors. RESULTS: Genetically predicted AAM demonstrated linear or roughly linear relationships with CAD and CAD risk factors. In contrast, PGS-adjusted AAM demonstrated a U-shaped relationship with CAD, hemoglobin A1c, triglycerides, high-density lipoprotein cholesterol, and waist-hip ratio. CONCLUSION: These results are consistent with earlier AAM causally increasing risk of CAD but suggest that later AAM itself does not cause increased risk of CAD; rather, sources of variation in AAM other than common genetic variants can cause both later AAM and increased risk of CAD. Dysglycemia, dyslipidemia, and central adiposity are candidate mediators of the association of later AAM with increased risk of CAD.

3. Novel recurrent mutations and genetic diversity in Sudanese children with adrenal insufficiency.

72.5Level IIICohort
European journal of endocrinology · 2025PMID: 40063902

Among 48 Sudanese children with adrenal insufficiency (excluding CAH/triple A), WES and Sanger sequencing identified etiologies in 21/43 families, with recurrent NNT splice and AIRE deletion mutations and common ABCD1/NNT/AIRE variants. Notably, ARSA mutations consistent with metachromatic leukodystrophy were found in two families, expanding the phenotype to include adrenal insufficiency.

Impact: The work demonstrates WES as a frontline diagnostic in PAI within resource-limited settings and reports adrenal insufficiency in metachromatic leukodystrophy—broadening phenotypic spectra and refining differential diagnosis.

Clinical Implications: Adopt WES early in pediatric adrenal insufficiency workups to differentiate MLD from adrenoleukodystrophy and identify actionable variants (e.g., ABCD1, NNT, AIRE). Findings inform genetic counseling and tailored management.

Key Findings

  • Genetic etiologies were identified in 21/43 families with non-autoimmune PAI; AIRE mutations in 3 families indicated autoimmune origin.
  • Recurrent NNT splice and AIRE deletion mutations were common, along with ABCD1/NNT/AIRE variants in this population.
  • ARSA mutations consistent with metachromatic leukodystrophy were associated with adrenal insufficiency in two families—previously undescribed.

Methodological Strengths

  • Combined WES and Sanger sequencing with segregation analyses and in vitro splice assays.
  • Systematic evaluation in a defined pediatric PAI cohort in a resource-limited setting.

Limitations

  • Causal variants were not found in 17 families, indicating incomplete detection or unknown genes.
  • Limited functional validation beyond splice assays; clinical follow-up details not provided in abstract.

Future Directions: Expand gene discovery with genome sequencing and transcriptomics; longitudinal phenotyping to define penetrance; develop context-appropriate diagnostic algorithms for PAI in LMICs.

OBJECTIVE: Studies of primary adrenal insufficiency (PAI) in African children are rare, but in Sudan, congenital adrenal hyperplasia (CAH) and triple A syndrome are the most common genetic causes. Differential diagnosis is challenging, especially in resource-limited settings, where presentation can mimic common childhood diseases and facilities for biochemical and genetic testing may be restricted. DESIGN: Forty-eight patients from 43 families (31 male:17 female) with PAI were included (CAH/triple A excluded). Additional features seen included white matter changes on magnetic resonance imaging, auto-immune features, and/or obesity. Sanger and whole exome sequencing (WES) were employed for diagnosis, confirmation, and segregation with in vitro assays to investigate potential splice defects. RESULTS: In 21/43 families, a genetic aetiology consistent with non-autoimmune PAI was discovered, and in 3 families, autoimmune regulator (AIRE) mutations were found, indicating an autoimmune origin. In Sudan, adenosine triphosphate (ATP) binding cassette subfamily D member 1 (ABCD1)/nicotinamide nucleotide transhydrogenase (NNT)/AIRE mutations were commonest, including recurrent NNT splice and AIRE deletion mutations. In 2 families, we identified ARSA mutations fitting a diagnosis of metachromatic leucodystrophy (MLD), in which adrenal insufficiency has not previously been described. In the remaining 17 families, no causative gene mutations were found. Putative causal variants for comorbidities were concomitantly detected. CONCLUSIONS: In this population, WES revealed itself as a useful frontline tool for the differential diagnosis of individuals presenting with adrenal insufficiency, including discrimination between MLD and adrenoleucodystrophy and giving plausible gene defects for additional comorbidities such as obesity. Such genetic diagnoses are crucial to design optimal treatment plans and for genetic counselling in affected individuals and their families.