Untargeted metabolomics analysis of the anti-diabetic effect of Red ginseng extract in Type 2 diabetes Mellitus rats based on UHPLC-MS/MS.

Red ginseng is a traditional Chinese herbal medicine that has long been used to treat diabetes, and its blood sugar-lowering activity has been confirmed. However, the mechanism of action of red ginseng on type 2 diabetes mellitus (T2DM) at the metabolic level is still unclear. The purpose of this study is to investigate the effect of red ginseng extract in the treatment of T2DM rats based on untargeted metabolomics.

Global Analysis of Transcriptome and Translatome Revealed That Coordinated WNT and FGF Regulate the Carapacial Ridge Development of Chinese Soft-Shell Turtle.

The turtle carapace is composed of severely deformed fused dorsal vertebrae, ribs, and bone plates. In particular, the lateral growth in the superficial layer of turtle ribs in the dorsal trunk causes an encapsulation of the scapula and pelvis. The recent study suggested that the carapacial ridge (CR) is a new model of epithelial-mesenchymal transition which is essential for the arrangement of the ribs.

Antifungal Activity of Essential Oils from Three Species against of Mango.

Post-harvest diseases of mango reduce fruit quality and cause severe yield losses with completely unmarketable fruits. The most common diseases of mangos are anthracnose (). In this study, the antibacterial activities of essential oils from , , and against were tested.

Plasma metabolomics-based reveals the treatment mechanism of ShenGui capsule for application to coronary heart disease in a rat model.

Shen Gui capsule (SGC) has been demonstrated to have a significant treatment effect for coronary heart disease (CHD). Nevertheless, the holistic therapeutic mechanism of SGC in vivo remain poorly interpreted. We aimed to systematically explore the preventive effect and mechanism of SGC on CHD rats using plasma metabolomics strategy.

Histone methyltransferase SETDB1 inhibits TGF-β-induced epithelial-mesenchymal transition in pulmonary fibrosis by regulating SNAI1 expression and the ferroptosis signaling pathway.

The epithelial-mesenchymal transition (EMT) is an important pathological process in the occurrence of pulmonary fibrosis. Changes in histone methylation modifications of key genes play an important role in this process. As a histone methyltransferase, the regulatory mechanism and role of SET domain bifurcated 1 (SETDB1) in pulmonary fibrosis remain unclear.

Qishen granule (QSG) exerts cardioprotective effects by inhibiting NLRP3 inflammasome and pyroptosis in myocardial infarction rats.

Ethnopharmacological Relevance: Qishen granule (QSG) is a traditional Chinese medicine formulation that is widely used in clinical practice for the treatment of myocardial infarction (MI), and its efficacy and safety have been well approved. However, the underlying mechanism by which QSG alleviates inflammation and cell pyroptosis remains unknown.

Aim Of The Study: The aim of this study was to clarify whether QSG ameliorated MI by inhibiting inflammasome activation and cell pyroptosis.

Eriodictyol protects skin cells from UVA irradiation-induced photodamage by inhibition of the MAPK signaling pathway.

Solar UVA irradiation-generated reactive oxygen species (ROS) induces the expression of matrix metalloproteinase 1 (MMP-1), leading to photoaging, however the molecular mechanism remains unclear. In the present study, we found that eriodictyol remarkably reduces UVA-mediated ROS generation and protects the skin cells from oxidative damage and the ensuing cell death. Moreover eriodictyol pretreatment significantly down-regulates the UVA-induced MMP-1 expression, and lowers the inflammatory responses within the skin cells.

Active Learning for Drug Design: A Case Study on the Plasma Exposure of Orally Administered Drugs.

The success of artificial intelligence (AI) models has been limited by the requirement of large amounts of high-quality training data, which is just the opposite of the situation in most drug discovery pipelines. Active learning (AL) is a subfield of AI that focuses on algorithms that select the data they need to improve their models. Here, we propose a two-phase AL pipeline and apply it to the prediction of drug oral plasma exposure.

Identification of hub genes associated with cognition in the hippocampus of Alzheimer's Disease.

Alzheimer's Disease (AD) is a neurodegenerative disease featured by cognitive impairment. This bioinformatic analysis was used to identify hub genes related to cognitive dysfunction in AD. The gene expression profile GSE48350 in the hippocampus of AD patients aged >70 years was obtained from the Gene Expression Omnibus (GEO) database.

MZINBVA: variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys.

As our understanding of the microbiome has expanded, so has the recognition of its critical role in human health and disease, thereby emphasizing the importance of testing whether microbes are associated with environmental factors or clinical outcomes. However, many of the fundamental challenges that concern microbiome surveys arise from statistical and experimental design issues, such as the sparse and overdispersed nature of microbiome count data and the complex correlation structure among samples. For example, in the human microbiome project (HMP) dataset, the repeated observations across time points (level 1) are nested within body sites (level 2), which are further nested within subjects (level 3).

Dispositional mindfulness mediates the relationship between conscientiousness and mental health-related issues in adolescents during the COVID-19 pandemic.

The COVID-19 pandemic is seriously affecting the mental health of adolescents and triggering a series of mental health-related issues. The present study investigates the relationships between conscientiousness, dispositional mindfulness (DM), and adolescents' mental health-related issues including anxiety, depression, and perceived stress during this time. In this study, after obtaining informed consent from participants' parents, 5994 Chinese adolescents voluntarily and anonymously completed an online survey.

DNA Methylation Age Drift Is Associated with Poor Outcomes and De-Differentiation in Papillary and Follicular Thyroid Carcinomas.

Alterations in global DNA methylation play a critical role in both aging and cancer, and DNA methylation (DNAm) age drift has been implicated in cancer risk and pathogenesis. In the present study, we analyzed the TCGA cohort of papillary and follicular thyroid carcinoma (PTC and FTC) for their DNAm age and association with clinic-pathological features. In 54 noncancerous thyroid (NT) samples, DNAm age was highly correlated with patient chronological age (R = 0.

[Research progress on the roles and mechanisms underlying metabolic molecules involved in nutrition therapy and immune regulation in sepsis].

The pathology of sepsis is extremely complex. Pathogen invasion, inflammatory factors secretion, coagulation disorder and microcirculation disturbance lead to metabolic disorder and organ dysfunction. In recent years, immunometabolism has aroused continuous attention in aspect of nutrition therapy and immune intervention for sepsis.

Abnormal expression of , , , and is involved in the pathogenesis of coronary artery disease.

Coronary artery disease (CAD) is the most common cardiovascular disease worldwide. In this study, we investigated the pathogenesis of CAD. We downloaded the GSE98583 dataset, including 12 CAD samples and 6 normal samples, from the Gene Expression Omnibus (GEO) database and screened differentially expressed genes (DEGs) in CAD versus normal samples.

Genome-Wide Characterization and Expression Analysis of the Gene Family in Sweet Orange ().

SBP-box is an important plant-specific transcription factor family and is involved in diverse biological processes. Here, we identified a total of 15 genes in the important fruit crop sweet orange () and characterized their gene structures, conserved domain and motif, chromosomal location, and -acting regulatory elements. genes were classified into four subfamilies based on the amino acid sequence homology, and the classification is equally strongly supported by the gene and protein structures.

Vegetarian Dietary Patterns and Cognitive Function among Older Adults: The Adventist Health Study-2.

We explored effects on cognitive function of following plant-based vegetarian compared with non-vegetarian dietary patterns in otherwise healthy older community-dwelling members of the Adventist Health Study-2 cohort ( = 132). Cognition was assessed using a comprehensive neuropsychological battery; a principal components analysis derived processing speed, executive function, and memory/language factors. Mild memory impairment (MMI) ( = 26, 19.

Influence of layered skull modeling on the frequency sensitivity and target accuracy in simulations of transcranial current stimulation.

With the development of electrical stimulation technology, especially the emergence of temporally interfering (TI) stimulation, it is necessary to discuss the influence of current frequency on stimulation intensity. Accurate skull modeling is important for transcranial current stimulation (tCS) simulation prediction because of its large role in dispersing current. In this study, we simulated different frequencies of transcranial alternating current stimulation (tACS) and TI stimulation in single-layer and layered skull model, compared the electric field via error parameters such as the relative difference measure and relative magnification factor.

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance variation exists across SARS-CoV-2 viral WGS technologies, but there is currently no benchmarking study comparing different WGS sequencing protocols.

Network Pharmacology-Based Mechanistic Investigation of Jinshui Huanxian Formula Acting on Idiopathic Pulmonary Fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a chronic respiratory disease with high incidence, morbidity, and mortality rates. Jinshui Huanxian formula (JHF) is an empirical formula that targets the pathogenesis of lung-kidney qi deficiency and phlegm-blood stasis in pulmonary fibrosis (PF). The purpose of this study was to explore JHF's potential pharmacological mechanisms in IPF therapy using network intersection analysis.

Epidemiological characteristics and incubation period of SARS-CoV-2 during the 2020-2021 winter pandemic wave in North China: An observational study.

As the emergence of new variants of SARS-CoV-2 persists across the world, it is of importance to understand the distributional behavior of the incubation period of the variants for both medical research and public health policy-making. We collected the published individual-level data of 941 patients of the 2020-2021 winter pandemic wave in Hebei province, North China. We computed some epidemiological characteristics of the wave and estimated the distribution of the incubation period.

Cudoped TiO-SiOwith photonic crystal structure for synergistic enhancement of photocatalytic degradation under visible light irradiation.

The development of visible light photocatalysts with the ability to efficiently degrade pollutants is an important measure to solve environmental problems. In this paper, Cudoped TiO-SiO(CTS) with photonic crystal structure composite was successfully synthesized via sol-gel strategy and template method. The prepared materials have abundant pore structure and uniform pore diameter, and the pores were arranged in a periodically hexagonal structure.

Green and Simple Synthesis of Photoluminescence-Tunable Carbon Dots for Sensing and Cell Imaging Applications.

Innovative nitrogen and boron co-doped carbon dots are hydrothermally produced using fructose, urea, and boric acid as precursors. The synthesized carbon dots possess a uniform morphology, and exhibit excellent fluorescence stability, tunable luminescence property, strong resistance to photobleaching, low-toxicity, and excellent biocompatibility. It is also found more dopant urea is conducive to the formation of the carbon dots with more B-N bonds, and shorter wavelength of fluorescence emission.

The impact of economic uncertainty caused by COVID-19 on renewable energy stocks.

By employing time-frequency-domain frameworks, this study analyzes the spillover effects of news-based economic uncertainty caused by the pandemic on three renewable energy stock indices in the USA, Europe, and the world. The empirical results reveal that the total spillover from economic uncertainty to the three renewable energy stock returns was concentrated at a high frequency, whereas those to volatilities appeared at low frequencies. Utilizing a rolling-window method, we observed that the impact of uncertainty caused by COVID-19 on three renewable energy stock returns and volatilities is more significant than that resulting from the global financial crisis (GFC).