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Daily Report

Daily Endocrinology Research Analysis

08/28/2025
3 papers selected
3 analyzed

Three impactful endocrinology papers span nutrition, immunometabolism, and lipid genetics. A UK Biobank cohort shows healthier plant-based diets lower all-cause mortality in type 2 diabetes, while an Endocrinology study identifies the S100A9–TLR4 axis as a therapeutic lever improving ketone, lipid, and glucose metabolism in insulin deficiency. A BMC Medicine Mendelian randomization study establishes remnant cholesterol as a causal cardiovascular risk factor in East Asians.

Summary

Three impactful endocrinology papers span nutrition, immunometabolism, and lipid genetics. A UK Biobank cohort shows healthier plant-based diets lower all-cause mortality in type 2 diabetes, while an Endocrinology study identifies the S100A9–TLR4 axis as a therapeutic lever improving ketone, lipid, and glucose metabolism in insulin deficiency. A BMC Medicine Mendelian randomization study establishes remnant cholesterol as a causal cardiovascular risk factor in East Asians.

Research Themes

  • Dietary patterns and mortality in type 2 diabetes
  • Immunometabolic reprogramming in insulin deficiency
  • Genetic causality of remnant cholesterol in cardiovascular disease

Selected Articles

1. Plant-Based Dietary Patterns Associated With Reduced Risk of All-Cause Mortality in Diabetes Subgroups: A Prospective Cohort Study From the UK Biobank.

77Level IICohort
Diabetes care · 2025PMID: 40876058

In 4,829 UK Biobank participants with type 2 diabetes followed for a mean of 11.3 years, higher adherence to an overall plant-based dietary index was associated with lower all-cause mortality (T3 vs T1 HR 0.79), while an unhealthy plant-based index was linked to higher mortality (HR 1.24). Associations were stronger among those with poor glycemic control, larger waist circumference, earlier age at diagnosis, and longer diabetes duration.

Impact: This well-designed prospective cohort links diet quality to mortality in type 2 diabetes and identifies high-risk subgroups who may derive greater benefit, directly informing nutritional counseling.

Clinical Implications: Clinicians should emphasize healthier plant-based dietary patterns (e.g., vegetables, fruits, whole grains, legumes, nuts) while discouraging unhealthy plant-based choices (refined grains, sweets, sugar-sweetened beverages). Patients with poor glycemic control or central obesity may benefit most.

Key Findings

  • Highest tertile of overall plant-based dietary index adherence reduced all-cause mortality (HR 0.79, 95% CI 0.63–0.99).
  • Unhealthy plant-based dietary index increased mortality risk (HR 1.24, 95% CI 1.00–1.54).
  • Stronger associations observed in subgroups with higher HbA1c, larger waist circumference, earlier diagnosis, and longer diabetes duration.

Methodological Strengths

  • Prospective design with long follow-up (mean 11.3 years).
  • Repeated 24-hour dietary recalls and multivariable Cox regression with subgroup interaction analyses.

Limitations

  • Observational design susceptible to residual confounding and measurement error in dietary assessment.
  • Generalizability may be limited by UK Biobank volunteer selection.

Future Directions: Randomized dietary interventions in type 2 diabetes targeting plant-forward diets, with stratification by glycemic control and adiposity, and mechanistic studies linking specific plant foods to cardiometabolic pathways.

OBJECTIVE: To investigate the association between adherence to a plant-based dietary index (PDI), healthy PDI, and unhealthy PDI with all-cause mortality in people with type 2 diabetes and to assess whether associations varied by diabetes subgroups. RESEARCH DESIGN AND METHODS: We included 4,829 UK Biobank participants with type 2 diabetes and at least two 24-h dietary recalls. We generated overall, healthy, and unhealthy scores. Multivariable Cox regression estimated hazard ratios (HRs) and 95% CIs for all-ca

2. Harnessing Distinct Tissue-Resident Immune Niches via S100A9/TLR4 Improves Ketone, Lipid, and Glucose Metabolism.

74.5Level VBasic/Mechanistic
Endocrinology · 2025PMID: 40874857

In insulin-deficient mice, the liver immune niche is remodeled with reduced T cells and polarized Kupffer cells. S100A9 treatment, acting via TLR4, rescued Kupffer cell polarization and corrected lipid and ketone abnormalities, reducing hypertriglyceridemia and hyperketonemia; it also increased skeletal muscle glucose uptake, improving hyperglycemia.

Impact: This study identifies the S100A9–TLR4 axis as a lever to reprogram tissue-resident immune niches and improve multiple metabolic derangements in insulin deficiency, opening a tractable therapeutic avenue.

Clinical Implications: Suggests immunomodulatory strategies (e.g., S100A9-based approaches or TLR4-targeting) could complement insulin therapy by mitigating hypertriglyceridemia, hyperketonemia, and hyperglycemia in insulin-deficient states; translation will require rigorous safety and dose-ranging studies.

Key Findings

  • Insulin deficiency remodels the liver immune landscape, decreasing T cells and altering Kupffer cell polarization.
  • S100A9 rescues Kupffer cell polarization and reverses lipid-related changes in a TLR4-dependent manner, lowering hypertriglyceridemia and hyperketonemia.
  • S100A9 increases skeletal muscle glucose uptake via effects on immune niches, improving hyperglycemia.

Methodological Strengths

  • Integrated multi-tissue mechanistic interrogation with immune and metabolic readouts.
  • Causal pathway supported by TLR4 dependency.

Limitations

  • Preclinical mouse model; human translatability and safety are unknown.
  • Dosing, durability of effects, and off-target immune consequences require clarification.

Future Directions: Define cellular and molecular intermediates linking S100A9–TLR4 signaling to metabolic fluxes; evaluate pharmacology, safety, and efficacy in larger animal models; explore combinatorial strategies with insulin in diabetic ketoacidosis-prone settings.

The importance of immunometabolism in the development of metabolic diseases is clear. Yet, how certain metabolic disorders, such as insulin deficiency (ID), influence immune cell function, and vice versa, is poorly understood. Also, therapeutic strategies to harness the interplay between immune cells and metabolism are lacking. Here, we observe that ID rearranges the immune landscape of the liver, causing a decrease of T cells and an increase of the Kupffer cells, accompanied by a shift in the tran

3. The causal effects of remnant cholesterol on increased risk of cardiovascular diseases in East Asians.

74Level IICohort
BMC medicine · 2025PMID: 40859268

In Chinese cohorts, circulating remnant cholesterol associated with multiple cardiovascular outcomes. A GWAS (n=14,939) identified seven loci for RC. Two-sample Mendelian randomization using Biobank Japan showed genetically higher RC increased cardiovascular risks, notably aortic aneurysm (OR 1.82 per SD). Replication in European datasets supported the findings, establishing RC as a causal CVD risk factor in East Asians.

Impact: By integrating ancestry-specific GWAS with Mendelian randomization and replication, this study provides strong causal evidence that remnant cholesterol drives CVD in East Asians, informing targeted prevention.

Clinical Implications: Risk stratification and prevention in East Asians should prioritize lowering remnant cholesterol (e.g., targeting triglyceride-rich lipoproteins via fibrates, omega-3s, ApoC-III/ANGPTL3 inhibition), complementing LDL-C lowering.

Key Findings

  • Circulating remnant cholesterol associated with multiple cardiovascular outcomes in Chinese populations.
  • GWAS in 14,939 Chinese identified seven RC-associated loci.
  • Mendelian randomization (Biobank Japan) showed higher genetically predicted RC increases CVD risk, notably aortic aneurysm (OR 1.82 per SD), with replication in European datasets.

Methodological Strengths

  • Triangulation of evidence: observational analyses, ancestry-specific GWAS, Mendelian randomization, and external replication.
  • Large biobank datasets improving power and generalizability.

Limitations

  • MR assumptions (e.g., no horizontal pleiotropy) may be violated.
  • Potential residual population stratification and assay variability in RC estimation.

Future Directions: Intervention trials targeting remnant cholesterol in East Asians; development of precise RC assays; exploration of gene–environment interactions and ancestry-informed risk algorithms.

BACKGROUND: Remnant cholesterol (RC) has been implicated in cardiovascular diseases (CVDs) in populations of European ancestry, yet its causal role remains underexplored in populations of East Asian ancestry, which are underrepresented in genetic studies. We sought to investigate the causal association between circulating RC levels and CVD risk in East Asian populations. METHODS: We first conducted observational analyses of RC and multiple CVD outcomes in Chinese populations. We then conducted