Predicting the diabetic foot in the population of type 2 diabetes mellitus from tongue images and clinical information using multi-modal deep learning.

Aims: Based on the quantitative and qualitative fusion data of traditional Chinese medicine (TCM) and Western medicine, a diabetic foot (DF) prediction model was established through combining the objectified parameters of TCM and Western medicine.

Methods: The ResNet-50 deep neural network (DNN) was used to extract depth features of tongue demonstration, and then a fully connected layer (FCL) was used for feature extraction to obtain aggregate features. Finally, a non-invasive DF prediction model based on tongue features was realized.

B cell memory responses induced by foot-and-mouth disease virus-like particles in BALB/c mice.

A challenging but critical question is that new foot-and-mouth disease (FMD) vaccines should be to induce B cell memory to provide antibodies for long-term protection. The maintenance of B cell memory is dependent on long-lived plasma cells (LLPCs) and memory B cells. We developed a chimeric FMDV virus-like particles (FMDV-VLPs), fusing VP1-VP4 into HBcAg.

Platelet-to-lymphocyte ratio relates to poor prognosis in elderly patients with acute myocardial infarction.

Background: The platelet to lymphocyte ratio (PLR) is a novel biomarker to predict the prognosis of acute myocardial infarction (AMI) patients.

Aim: The study aimed to evaluate the in-hospital outcomes of elderly patients with AMI and assessed the prognostic value of PLR on in-hospital adverse events.

Methods: A total of 1,001 patients were divided into an older group (n = 560) and a younger group (n = 441) based on age ≥ 60 years and successfully underwent primary percutaneous coronary intervention (PCI) within 12 h after presentation.

lncRNA 430945 promotes the proliferation and migration of vascular smooth muscle cells via the ROR2/RhoA signaling pathway in atherosclerosis.

The proliferation and migration of vascular smooth muscle cells (VSMCs) are major cellular events in hypertension‑induced vascular remodeling, which is closely involved in the progression of atherosclerosis (AS). Although long non‑coding RNAs (lncRNAs) are gaining recognition as novel regulators of VSMCs, their functioning and role in AS remain to be elucidated. In the present study, the role of lncRNA ENST00000430945 (lncRNA 430945) in AS was investigated.

Circulating MicroRNAs as Novel Diagnostic Biomarkers for Very Early-onset (≤40 years) Coronary Artery Disease.

Objective: Very early-onset coronary artery disease (CAD) is a great challenge in cardiovascular medicine throughout the world, especially regarding its early diagnosis. This study explored whether circulating microRNAs (miRNAs) could be used as potential biomarkers for patients with very early-onset CAD.

Methods: We performed an initial screening of miRNA expression using RNA isolated from 20 patients with angiographically documented very early-onset CAD and 20 age- and sex-matched normal controls.