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Daily Report

Daily Endocrinology Research Analysis

06/07/2025
3 papers selected
3 analyzed

Three impactful endocrinology-related studies stood out today. A nationwide RCT (NUDGE-CKD) found that electronic nudge letters did not increase uptake of guideline-directed CKD therapies. A proteome-wide Mendelian randomization study identified plasma proteins (LIF, IL7RA, CD226, TNFSF11, JUND) causally linked to autoimmune thyroid disease. A large registry cohort suggested an optimal HbA1c range of 6.7–7.1% for people with diabetes and severe CKD to minimize complications.

Summary

Three impactful endocrinology-related studies stood out today. A nationwide RCT (NUDGE-CKD) found that electronic nudge letters did not increase uptake of guideline-directed CKD therapies. A proteome-wide Mendelian randomization study identified plasma proteins (LIF, IL7RA, CD226, TNFSF11, JUND) causally linked to autoimmune thyroid disease. A large registry cohort suggested an optimal HbA1c range of 6.7–7.1% for people with diabetes and severe CKD to minimize complications.

Research Themes

  • Implementation science for cardio-renal-metabolic care
  • Proteomic genomics to uncover autoimmune thyroid disease mechanisms
  • Personalizing glycemic targets in advanced CKD with diabetes

Selected Articles

1. A Nationwide Factorial Randomized Trial of Electronic Nudges to Patients With Chronic Kidney Disease and Their General Practices for Increasing Guideline-Directed Medical Therapy: The NUDGE-CKD Trial.

75Level IRCT
Circulation · 2025PMID: 40481660

In a nationwide 2×2 factorial randomized implementation trial involving 22,617 CKD patients, electronic letters to patients and general practices did not increase filled prescriptions for RAS inhibitors or SGLT2 inhibitors over 6 months versus usual care. The null result suggests simple informational nudges are insufficient to change prescribing or uptake.

Impact: A large, pragmatic RCT in Circulation delivering a definitive negative result on a widely proposed low-cost intervention informs policy and resource allocation in cardio-renal-metabolic care.

Clinical Implications: Electronic letter nudges alone are unlikely to improve uptake of GDMT (RAS inhibitors, SGLT2 inhibitors) in CKD. More intensive, tailored, and system-level strategies (e.g., default prescribing, pharmacist-led protocols, decision support) are needed.

Key Findings

  • 22,617 CKD patients randomized at patient level; 1,540 practices at provider level in a 2×2 factorial design.
  • Primary endpoint (filled RASi/SGLT2i within 6 months): 65.1% with patient-directed nudge vs 65.9% usual care (difference −0.79 pp; 95% CI −2.03 to 0.45).
  • Provider-level informational letters similarly did not improve medication uptake.
  • Nationwide registry linkage enabled pragmatic outcome assessment.

Methodological Strengths

  • Nationwide, pragmatic 2×2 factorial randomization with large sample size
  • Objective outcome via prescription fill data from administrative registries

Limitations

  • Short follow-up (6 months) may miss delayed behavior change
  • Intervention lacked personalization or system redesign; outcome limited to fill data

Future Directions: Test multi-component, behaviorally informed strategies (default orders, pharmacist outreach, incentive alignment), leverage EHR decision support, and evaluate equity impacts and long-term clinical outcomes.

BACKGROUND: Many individuals with chronic kidney disease (CKD) face a considerable but modifiable risk of cardiovascular and renal outcomes because of suboptimal implementation of guideline-directed medical therapy (GDMT). We investigated whether electronic letter-based nudges delivered to individuals with CKD and their general practices could increase GDMT uptake. METHODS: This was a nationwide 2×2 factorial implementation trial with randomization at the patient and general practice level and analyzed at the patient level. All Danish adults with a hospital diagnosis of CKD and access to the official Danish electronic letter system were individually randomized at a 1:1 ratio to usual care (no letter) or to receive an electronic letter-based nudge on GDMT for CKD; general practitioners of individuals with CKD were independently randomized (1:1) to receive no letter or an electronic informational letter on GDMT. Intervention letters were delivered on August 19, 2024. Data were collected through the Danish administrative health registries. The primary end point was a filled prescription of a renin-angiotensin system inhibitor or a sodium-glucose cotransporter 2 inhibitor within 6 months of intervention delivery. RESULTS: A total of 22 617 patients with CKD were randomized to the patient-level intervention, with 11 223 allocated to receive the electronic nudge letter and 11 394 to usual care. Separately, 1540 general practices caring for 28 069 patients with CKD were randomized to the provider-level intervention, with 774 practices (13 959 patients) allocated to the intervention and 766 practices (14 110 patients) to usual care. During follow-up, 7303 (65.1%) allocated to the patient-directed nudge had filled a prescription for a renin-angiotensin system inhibitor or sodium-glucose cotransporter 2 inhibitor compared with 7505 (65.9%) in usual care (difference, -0.79 percentage points [95% CI, -2.03 to 0.45]; CONCLUSIONS: In this nationwide pragmatic, 2×2 factorial implementation trial, electronic letter-based nudges on GDMT delivered to patients with CKD or their general practice did not increase the uptake of a renin-angiotensin system inhibitor or sodium-glucose cotransporter 2 inhibitor as compared with usual care. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT06300086.

2. Proteome-wide Mendelian randomization reveals causal associations between plasma proteins and autoimmune thyroid disease.

73Level IICohort
Scientific reports · 2025PMID: 40481092

Using proteome-wide MR and colocalization across multiple large datasets, the study identified 11 plasma proteins with causal links to AITD, five of which (LIF, IL7RA, CD226, TNFSF11, JUND) also showed colocalization. LIF and IL7RA increased AITD risk, whereas CD226, TNFSF11, and JUND were inversely associated.

Impact: Provides mechanistic leads and potential biomarkers/targets for autoimmune thyroid disease, moving beyond association to inferred causality via genetic instruments.

Clinical Implications: Findings prioritize specific proteins (e.g., LIF, IL7RA) for translational validation as diagnostic or prognostic biomarkers and as candidate therapeutic targets in AITD.

Key Findings

  • Proteome-wide MR leveraging UKB-PPP and deCODE identified 11 plasma proteins with causal associations to AITD.
  • Colocalization supported shared causal variants for five proteins: LIF, IL7RA, CD226, TNFSF11, and JUND.
  • Genetically predicted LIF and IL7RA levels increased AITD risk; CD226, TNFSF11, and JUND were inversely associated.
  • Triangulation across SMR, Wald Ratio, and IVW strengthened causal inference.

Methodological Strengths

  • Use of two large independent proteomic GWAS resources and two AITD outcome GWAS meta-datasets
  • Colocalization to mitigate confounding by linkage and strengthen causality

Limitations

  • Potential residual horizontal pleiotropy cannot be fully excluded
  • Plasma protein levels may not reflect thyroidal or immune tissue microenvironments; clinical validation is needed

Future Directions: Validate prioritized proteins in prospective cohorts and interventional models; develop assays for clinical translation; explore pathway-targeted therapeutics.

Autoimmune thyroid diseases (AITD) are the most common autoimmune disorders. Identifying new biomarkers and therapeutic targets in plasma proteins is crucial. We conducted a proteome-wide Mendelian randomization (MR) and colocalization analysis to determine plasma proteins causally associated with AITD. Proteome-wide summary-level genome-wide association studies (GWAS) were collected from the UK Biobank Pharma Proteomics Project (UKB-PPP) and deCODE genetics, encompassing 2922 and 4719 plasma proteins, respectively. Genetic associations with AITD were derived from an AITD GWAS meta-analysis study (30,234 cases and 725,172 controls) and the FinnGen database (40,926 cases and 274,069 controls). MR analysis, including summary-data-based Mendelian randomization (SMR), Wald Ratio, and IVW methods, was employed to estimate the causal effects between plasma proteins and AITD. Colocalization analysis was used to assess whether identified proteins and AITD shared the common causal variants. Genetically predicted levels of 11 plasma proteins were found to have a causal association with AITD. Colocalization analysis revealed that five of these proteins had evidence of colocalization, including leukemia inhibitory factor (LIF), interleukin-7 receptor subunit alpha (IL7RA), CD226, tumor necrosis factor ligand superfamily member 11 (TNF11), and transcription factor junD (JUND). Genetically predicted levels of LIF and IL7RA were associated with an increased risk of AITD, whereas CD226, TNF11, and JUND were inversely related to AITD risk. This study has identified multiple candidate plasma proteins causally associated with AITD. Among these proteins, LIF, IL7RA, CD226, TNF11, and JUND are considered to have potential as disease biomarkers and therapeutic targets, but further clinical and experimental validation is still necessary in the future.

3. The Association Between Hemoglobin A1c and Complications Among Individuals With Diabetes and Severe Chronic Kidney Disease.

70Level IICohort
Diabetes care · 2025PMID: 40481664

In 27,113 adults with diabetes and severe CKD (eGFR <30), HbA1c showed a U-shaped association with adverse outcomes. Risks increased at HbA1c ≥7.2% and also at <5.8%; hypoglycemia-related hospitalizations rose from ≥6.7%. Data support an optimal HbA1c range of 6.7–7.1% for minimizing complications.

Impact: Provides large-scale, contemporary, registry-based evidence to refine glycemic targets in a high-risk population where RCT data are scarce.

Clinical Implications: For patients with diabetes and severe CKD, aiming for HbA1c around 6.7–7.1% may balance risks of macro/microvascular events and hypoglycemia. Consider CGM metrics and individual risk factors when setting targets.

Key Findings

  • U-shaped association: MACE risk increased at HbA1c ≥7.2% and <5.8% versus 6.3–6.6%.
  • Microvascular complications increased at HbA1c ≥7.2%.
  • Hypoglycemia hospitalizations increased at HbA1c ≥6.7%.
  • Patterns were consistent across CKD severity reference cohorts.

Methodological Strengths

  • Large nationwide cohort with age/sex-matched reference groups
  • Standardized 1-year risk estimation using multivariable Cox models

Limitations

  • Observational design with potential residual confounding and indication bias
  • HbA1c accuracy may be affected in advanced CKD; unmeasured factors (e.g., anemia, carbamylation) could influence associations

Future Directions: Randomized trials of glycemic targets in advanced CKD; incorporate CGM-derived metrics (time-in-range, hypoglycemia burden) into outcome models.

OBJECTIVE: The optimal glycemic target for individuals with severe chronic kidney disease (CKD) remains unclear. We investigated the association between HbA1c and complications in individuals with diabetes and severe CKD. RESEARCH DESIGN AND METHODS: In a Danish nationwide registry-based cohort study, we included 27,113 individuals ≥18 years old with diabetes and severe CKD (estimated glomerular filtration rate [eGFR] <30 mL/min/1.73 m2) between 2010 and 2022. As reference groups, we included an age- and sex-matched cohort of 80,131 individuals with diabetes and mild-to-moderate CKD (eGFR 30-59 mL/min/1.73 m2) and 80,797 individuals with diabetes and no-to-mild CKD (eGFR ≥60 mL/min/1.73 m2). Multiple Cox regressions were used to estimate the standardized 1-year risk of major adverse cardiovascular events (MACE), microvascular complications, and hospitalizations due to hypoglycemia across strata of HbA1c levels. RESULTS: For individuals with severe CKD, the risk of MACE significantly increased at HbA1c levels ≥7.2% (55 mmol/mol) (P < 0.01) and <5.8% (40 mmol/mol) (P < 0.001), compared with an HbA1c level of 6.3-6.6% (45-49 mmol/mol). The risk of microvascular complications significantly increased at HbA1c levels ≥7.2% (55 mmol/mol) (P < 0.001), and the risk of hospitalization due to hypoglycemia significantly increased at HbA1c levels ≥6.7% (50 mmol/mol) (P < 0.001). The association patterns between HbA1c and outcomes were similar in the severe CKD cohort compared with the matched cohorts with mild-to-moderate CKD and no-to-mild CKD. CONCLUSIONS: Our data suggest an HbA1c range of 6.7-7.1% (50-54 mmol/mol) to be most favorable for reducing long-term complications in this high-risk population.