Screening of high glucose tolerant Escherichia coli for L-valine fermentation by autonomous evolutionary mutation.

L-valine holds wide-ranging applications in medicine, food, feed, and various industrial sectors. Escherichia coli, a pivotal strain in industrial L-valine production, features a concise fermentation period and a well-defined genetic background. This study focuses on mismatch repair genes (mutH, mutL, mutS, and recG) and genes associated with mutagenesis (dinB, rpoS, rpoD, and recA), employing a high-glucose adaptive culture in conjunction with metabolic modifications to systematically screen for superior phenotypes.

Tripartite organization of brain state dynamics underlying spoken narrative comprehension.

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally to complex semantic-conceptual interpretations. How the brain handles the diverse streams of information processing remains poorly understood. Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space.

A synthetic biology approach for identifying de-SUMOylation enzymes of substrates.

A synthetic biology approach using a robust reconstitution system in Escherichia coli enables the identification of plant ubiquitin-like proteases responsible for removing the small ubiquitin-like modifier (SUMO) post-translational modifications from specific protein substrates.

Prediction models for post-traumatic stress disorder in family members of ICU patients: A systematic review.

Background: Several predictive models have been developed for post-traumatic stress disorder (PTSD) in intensive care unit (ICU) family members. However, significant differences persist across related studies in terms of literature quality, model performance, predictor variables and scope of applicability.

Aim: This study aimed to systematically review risk prediction models for PTSD in family members of ICU patients, to make recommendations for health care professionals in selecting appropriate predictive models.

Role of metabolic characteristics in the co-occurrence of insomnia, Alzheimer's disease, and Parkinson's disease: a Mendelian randomization study.

Objective: There reportedly exists a significant comorbidity between insomnia and neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), indicative of a potential link to serum metabolic dysregulation.

Method: To elucidate shared pathophysiological mechanisms between insomnia and AD/PD, we performed comprehensive two-sample Mendelian randomization (MR) analyses, investigating 1,400 serum metabolic characteristics for their causal relationships with the risks of insomnia, AD, widely defined AD (WDAD), and PD. We employed publicly available genetic data; the primary estimate was determined using inverse-variance weighting, supplemented by weighted median, simple mode, weighted mode, and the MR-PRESSO and MR-Egger methods to evaluate heterogeneity and pleiotropy.