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Background: We aimed to characterize factors associated with the under-studied complication of cognitive decline in aging people with long-duration type 1 diabetes (T1D).

Methods: Joslin "Medalists" (n = 222; T1D ≥ 50 years) underwent cognitive testing. Medalists (n = 52) and age-matched non-diabetic controls (n = 20) underwent neuro- and retinal imaging.

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Interplay between Skeletal Muscle Catabolism and Remodeling of Arteriovenous Fistula via YAP1 Signaling.

J Am Soc Nephrol

January 2025

Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas 77030.

Background: Arteriovenous (AV) fistulas are the preferred access for dialysis but have a high incidence of failure. This study aims to understand the crosstalk between skeletal muscle catabolism and AV fistula maturation failure.

Methods: Skeletal muscle metabolism and AV fistula maturation were evaluated in mice with chronic kidney disease (CKD).

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Background: Randomised controlled trials (RCTs) evaluating new systemic treatments for atopic dermatitis (AD) have increased dramatically over the last decade. These trials often incorporate topical therapies either as permitted concomitant or rescue treatments. Differential use of these topicals post-randomisation introduces potential bias as they may nullify or exaggerate treatment responses.

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A comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions.

Brief Bioinform

November 2024

Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.

The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.

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Risk assessment of persistent incidental pulmonary subsolid nodules to guide appropriate surveillance interval and endpoints.

Pulmonology

December 2025

Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Guidelines for the follow-up of pulmonary subsolid nodule (SSN) vary in terms of frequency and criteria for discontinuation. We aimed to evaluate the growth risk of SSNs and define appropriate follow-up intervals and endpoints. The immediate risk (IR) and cumulative risk (CR) of SSN growth were assessed using the Kaplan-Meier method according to nodule consistency and size.

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