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Aims: To develop a clinical risk model to identify individuals at higher risk of developing new‐onset diabetes and who might benefit more from weight loss pharmacotherapy. Materials and Methods: A total of 21 143 patients without type 2 diabetes at baseline from two TIMI clinical trials of stable cardiovascular patients were divided into a derivation (~2/3) and validation (~1/3) cohort. The primary outcome was new‐onset diabetes. Twenty‐seven candidate risk variables were considered, and variable selection was performed using multivariable Cox regression. The final model was evaluated for discrimination and calibration, and for its ability to identify patients who experienced a larger benefit from the weight loss medication lorcaserin in terms of risk of new‐onset diabetes. Results: During a median (interquartile range) follow‐up of 2.3 (1.8–2.7) years, new‐onset diabetes occurred in 1013 patients (7.7%). The final model included five independent predictors (glycated haemoglobin, fasting glucose, age, body mass index, and triglycerides/high‐density lipoprotein). The clinical risk model showed good discrimination (Harrell's C‐indices 0.802, 95% confidence interval [CI] 0.788–0.817 and 0.807, 95% CI 0.788–0.826) in the derivation and validation cohorts. The calibration plot demonstrated adequate calibration (2.5‐year area under the curve was 81.2 [79.1–83.5]). While hazard ratios for new‐onset diabetes with a weight‐loss therapy were comparable across risk groups (annual risks of <1%, 1%–5%, and >5%), there was a sixfold gradient in absolute risk reduction from lowest to highest risk group (p = 0.027). Conclusions: The developed clinical risk model effectively predicts new‐onset diabetes, with potential implications for personalized patient care and therapeutic decision making. [ABSTRACT FROM AUTHOR]

The human transcriptome contains many types of noncoding RNAs, which rival the number of protein‐coding species. From long noncoding RNAs (lncRNAs) that are over 200 nucleotides long to piwi‐interacting RNAs (piRNAs) of only 20 nucleotides, noncoding RNAs play important roles in regulating transcription, epigenetic modifications, translation, and cell signaling. Roles for noncoding RNAs in disease mechanisms are also being uncovered, and several species have been identified as potential drug targets. On May 11–14, 2021, the Keystone eSymposium "Noncoding RNAs: Biology and Applications" brought together researchers working in RNA biology, structure, and technologies to accelerate both the understanding of RNA basic biology and the translation of those findings into clinical applications. [ABSTRACT FROM AUTHOR]

Monocyte differentiation involves the participation of lineage-restricted transcription factors, although the mechanisms by which this process occurs are incompletely defined. Within the hematopoietic system, members of the Kruppel-like family of factors (KLFs) play essential roles in erythrocyte and T lymphocyte development. Here we show that KLF4/GKLF is expressed in a monocyte-restricted and stage-specific pattern during myelopoiesis and functions to promote monocyte differentiation. Overexpression of KLF4 in HL-60 cells confers the characteristics of mature monocytes. Conversely, KLF4 knockdown blocked phorbol ester-induced monocyte differentiation. Forced expression of KLF4 in primary common myeloid progenitors (CMPs) or hematopoietic stem cells (HSCs) induced exclusive monocyte differentiation in clonogenic assays, whereas KLF4 deficiency inhibited monocyte but increased granulocyte differentiation. Mechanistic studies demonstrate that KLF4 is a target gene of PU.1. Consistently, KLF4 can rescue PU.1−/− fetal liver cells along the monocytic lineage and can activate the monocytic-specific CD14 promoter. Thus, KLF4 is a critical regulator in the transcriptional network controlling monocyte differentiation. [ABSTRACT FROM AUTHOR]