Peptides DB
Research-centric peptide and protocol reference hub
Study 6 of 32LL-37 literatureRenal failure · Observational2026

Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study.

Genetically predicted frailty is significantly associated with an increased risk of type 2 diabetes with renal complications, suggesting it may be a marker of systemic vulnerability.

Read at Renal failureAdd to compare

Where it sits

this study against the rest of the ll-37 corpus
6
Preclinical
17
Observational · this one
0
Open-label
5
Randomised
4
Reviews

Summary and findings

This study investigated the relationship between frailty and diabetic kidney disease (DKD)-related renal complications using Mendelian randomization and a retrospective observational cohort. The analysis involved 100 patients undergoing hemodialysis to characterize frailty burden. The findings indicated that genetically predicted frailty was associated with an increased risk of type 2 diabetes with renal complications.

How much of this paper we could read: full text read (0.80). We had a clear abstract, so the summary below closely tracks the paper. What this means →
Genetically predicted frailty associated with increased risk of type 2 diabetes with renal complications (odds ratio = 5.30, 95% CI: 1.89-14.91, p = 0.002).2026

Abstract

The authors’ words, as Renal failure supplied them

<h4>Objectives</h4>To investigate the relationship between frailty and diabetic kidney disease (DKD)-related renal complications using Mendelian randomization (MR) and complementary clinical analysis.<h4>Methods</h4>Two-sample MR was performed using genome-wide association study summary statistics to assess the association between genetically predicted frailty and type 2 diabetes with renal complications. Functional annotation and sensitivity analyses, including exclusion of potentially pleiotropic variants and multivariable MR, were conducted. A retrospective hemodialysis cohort (<i>n</i> = 100) was analyzed to characterize frailty burden in patients with DKD-related versus non-DKD end-stage renal disease.<h4>Results</h4>Genetically predicted frailty was significantly associated with increased risk of type 2 diabetes with renal complications (inverse-variance weighted odds ratio = 5.30, 95% confidence interval: 1.89-14.91, <i>p</i> = 0.002), without substantial pleiotropy or heterogeneity. Functional annotation suggested exploratory neuromuscular and cytoskeletal signals. In the clinical cohort, patients with DKD had higher frailty scores than those without DKD (median 2.0 vs. 1.0, <i>p</i> = 0.003). Exploratory machine learning analysis identified dialysis vintage, grip strength, and physical activity as major contributors to DKD classification.<h4>Conclusions</h4>Frailty was associated with DKD-related renal complications, and forward MR suggested a potential causal contribution. Frailty may represent a clinically relevant marker of systemic vulnerability in this setting, although further validation in larger prospective cohorts is needed.

Background

The paper addresses the potential link between frailty and type 2 diabetes, particularly focusing on renal complications. Previous research has suggested that frailty may exacerbate diabetes-related complications, but the causal relationship remains unclear. This study aims to clarify these associations through Mendelian randomization, which can help mitigate confounding factors inherent in observational studies.

Methods

The study employs a Mendelian randomization approach alongside a retrospective observational study design. Specific details regarding the population, sample size (n), doses, and duration of the study are not reported in the abstract, which limits the understanding of the methodology employed.

Results

Not reported in abstract.

Interpretation

Given the lack of reported results, it is challenging to compare these findings to existing literature or assess the clinical significance of any observed associations. The absence of specific numeric data raises concerns about the reliability and applicability of the conclusions drawn from this study, particularly in clinical practice.

Key findings

  • Not reported in abstract.

Limitations

  • Not reported in abstract.
  • Not reported in abstract.
  • Not reported in abstract.

Elsewhere in the LL-37 corpus

CValorisation of invasive North Sea macroalgae as functional feed additives to improve disease resilience in Pacific white shrimp (Litopenaeus vannamei)biorxiv-preprint · 2026 · Survival increased from 60.00 ± 12.02% in the control to 74.44 ± 8.39% in the seaweed-supplemented group.AnimalBAn audit assessing data quality, viral suppression, and transition to dolutegravir among children and adolescents with HIV in care at eThekwini Municipality, South Africabiorxiv-preprint · 2026 · 10% had a last VL ≥1000 copies/mL.HumanDCoarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profilingbiorxiv-preprint · 2026 · mAP-5=77.8% on ESCAPE benchmark, n=82,359 peptides.reviewBHuman cathelicidin (LL-37), a multifunctional peptide, is expressed by ocular surface epithelia and has potent antibacterial and antiviral activity.Current eye research · 2005 · EC50 values for three strains of Pseudomonas aeruginosa were 2.8 +/- 1.3, 1.9 +/- 0.3, and 3.6 +/- 2.1 microg/ml.HumanCPhenotypic resistance to life-saving antimicrobials in Gram-positive bacteria isolated from wild birds in Northern Italy: a One Health surveillance perspective.One health (Amsterdam, Netherlands) · 2026 · n=205 · 40.1% of isolates were Gram-positive, n=469.AnimalAAzithromycin for Preschoolers with Wheezing in the Emergency Department.The New England journal of medicine · 2026 · ADYC scores did not differ significantly between the azithromycin and placebo groups in the positive cohort (P = 0.70).Human