Decoding genetic diversity through genome engineering in bryophytes.

Bryophytes, which include mosses, liverworts, and hornworts, have evolved a highly successful strategy for thriving in terrestrial environments, allowing them to occupy nearly every land ecosystem. Their success is due to a unique combination of biochemical adaptations, diverse structural forms, and specialized life cycle strategies. The key to their evolutionary success lies in their genomic diversity.

Influences of gestational diabetes mellitus on the changes in the vaginal microbiota from antepartum to postpartum.

Background: No consensus has yet been reached concerning whether there were significant differences in the vaginal microbiota according to maternal gestational diabetes mellitus (GDM) status. This study aimed to compare the vaginal microbiota of women with GDM and normal blood glucose before and after delivery and to prospectively evaluate the influence of GDM on the dynamic changes of vaginal microbiota from antepartum to postpartum.

Methods: This study included 20 GDM patients and 31 average pregnant women who gave birth at the Shenzhen Baoan Women's and Children's Hospital.

Sex-specific optimal cut-off points for metabolic health indicators to predict incident type 2 diabetes mellitus.

Background And Aim: We aimed to determine the optimal cut-off points for metabolic health indicators, including insulin resistance (IR), glucose, insulin, BMI, and waist circumference, in middle-aged nondiabetic people to predict future type 2 diabetes mellitus (T2DM).

Methods And Results: The data came from 12,543 Atherosclerosis Risk Communities Study participants, including 5758 men and 6785 women. They did not have diabetes at baseline and were followed for incident T2DM within 3, 6, and 9 years.

Small-Molecule Self-Assembly Strategy for Ultrafast, Sensitive, and Portable Multiplexed Antibiotics Detection by Transistor Biosensor Arrays.

The urgent need for portable, sensitive, and accurate techniques to analyze multiple antibiotics is critical to mitigating the health risks associated with low-dose antibiotics coexposure-induced drug resistance, especially in infants. Emerging field-effect transistor (FET) biosensors are expected to realize the above requirement, but face challenges in terms of sensitivity and selectivity for complex solutions in practical applications. Here, we introduce a small-molecule coating strategy on carbon nanotube (CNT)-FET biosensor arrays to simultaneously block nonspecific adsorption and minimize Debye shielding effects, coupled with aptamer for antibiotics recognition through inkjet printing technology, which significantly improves the selectivity and sensitivity.

Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study.

Background: Elderly type 2 diabetes mellitus (T2DM) patients complicated with heart failure (HF) exhibit a high rate of 30-day readmission. Predictive models have been suggested as tools for identifying high-risk patients. Thus, we aimed to develop and validate a predictive model using multicenter electronic medical records (EMRs) data to estimate the risk of 30-day readmission in elderly T2DM patients complicated with HF.