Jiangxi University of Traditional Chinese Medicine

Chemical constituents from the seeds of Celosia argentea L. and their chemotaxonomic significance

A phytochemical investigation of the seeds of Celosia argentea L. (Amaranthaceae) identified twenty-eight compounds, including six alkaloids ( 1-6 ), five flavonoids ( 7-11 ), five phenolics ( 12-16 ), two phenylpropanoids ( 17-18 ), one fatty acid ( 19 ), two lignans ( 20-21 ),...

Mapping mitochondria-associated research in inflammatory bowel disease

Background: Mitochondria-associated research has become increasingly prominent in inflammatory bowel disease (IBD), but its publication growth, collaboration structure, knowledge base, and thematic evolution have not been comprehensively quantified. Methods: Web of Science Core C...

Codonopsis tangshen Attenuates Age-Related Pulmonary Fibrosis through Senescence and Gut–Lung Axis Modulation

Background: Cellular senescence is a critical driver of chronic inflammation, tissue remodeling, and progressive fibrosis during the aging process. Codonopsis tangshen Oliv. is a widely used medicinal and edible homologous plant in traditional Chinese medicine; however, its pharm...

TCM-Complexity: a complexity-aware hybrid active learning framework for drug–target interaction prediction

Drug–target interaction (DTI) prediction is an essential task in computer-aided drug discovery and pharmacological mechanism elucidation. High-quality DTI annotations typically rely on costly wet-lab experiments, and limited experimental resources make it difficult to obtain larg...

A Multi-Variety Co-Expression Network Identifies Candidate Genes Associated with Tuber Color, Starch Composition and Texture in Greater Yam

Greater yam (Dioscorea alata L.) is a globally distributed yam species with high agronomic potential but variable culinary quality. The molecular basis of key tuber quality attributes, including flesh pigmentation, starch and sugar composition, texture after cooking, and moldabil...

Non-prescription supportive care interventions for anticancer therapy-induced oral mucositis: protocol for a systematic review and meta-analysis

Abstract Background Oral mucositis (OM) is a common and debilitating complication of anticancer therapies, frequently resulting in pain, nutritional impairment, and potential treatment interruption. While several pharmacologic and device-based interventions have been evaluated, l...

Osteoclast precursor cell membrane-engineered bone-targeting calcium carbonate nanoparticles for anti-osteoporosis therapy

Osteoporosis (OP) is a metabolic bone disease characterized by reduced bone mass and deterioration of bone microarchitecture, resulting in an increased risk of fragility fractures. Current anti-osteoporotic therapies are often limited by poor targeting efficiency, suboptimal ther...

A novel rare missense variant in PLCD1 is associated with recurrent spontaneous abortion and inhibits cell migration and invasion

Recurrent spontaneous abortion (RSA) is a common clinical complication during pregnancy and seriously affects the physical and mental health of women reproductive age. Its etiology and pathogenesis have not yet been fully clarified. In this study, we examined whether genetic vari...

A Prior-Guided Structure-Aware Multi-Objective Differential Evolution Method for High-Dimensional Feature Selection

Multi-objective feature selection provides an effective framework for high-dimensional data analysis by jointly considering classification performance and feature subset size. However, redundant and irrelevant features may degrade the quality of the initial search distribution, a...

Food-Derived l -tryptophan and α-Casein (90–95) Differentially Potentiate Porcine Calcium-Sensing Receptor Signaling and Improve Enteroendocrine–Epithelial Responses Under Peptidoglycan Challenge

Abstract The calcium-sensing receptor (CaSR) is a nutrient-sensing class C G protein-coupled receptor implicated in intestinal hormone release, yet the signaling pharmacology of the porcine receptor and its relevance to epithelial homeostasis remain poorly defined. Here, a stable...

Association between subjective well-being and the risk of cardiometabolic multimorbidity in older Chinese adults: effect modification by the integrated healthy lifestyle score

This study aimed to ascertain the association between subjective well-being (SWB) scores and the cardiometabolic multimorbidity (CMM) risk, and evaluate the potential modifying effect of integrated healthy lifestyle scores among older Chinese adults. A prospective cohort study wa...

I2M: a box-based detection framework for molecular structure recognition from images

Accurate recognition and reconstruction of chemical structures from molecular images is critical in cheminformatics, with applications spanning drug discovery, materials science, and patent analysis. However, much of this chemical matter exists in implicit forms that are not dire...

Exploring the mechanism of Shengmai San in treating lung adenocarcinoma based on bioinformatics and molecular dynamics simulation

To investigate the mechanism of Shengmai San (SMS) in the treatment of lung adenocarcinoma (LUAD) based on an integrated strategy combining “network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulation,” aiming to provide a precise combination therap...

Fertility support needs of reproductive-age women based on the Kano model and ERG theory: a cross-sectional study

Amidst the declining fertility rate and population aging, providing effective fertility supports for reproductive-age women is urgently needed. Hence, understanding their fertility support needs is paramount. An observational design was implemented and the STROBE Checklist was ad...

Puerarin‐Loaded Macrophage‐Derived Exosomes for Experimental Atherosclerosis

ABSTRACT Atherosclerotic cardiovascular disease (AS) remains a leading global health concern. In this study, we investigated a macrophage‐derived exosome‐based delivery system for puerarin (Pue). The isolated vesicles were characterized by transmission electron microscopy, partic...

MPR-MOPSO-ASFS: A Stable Multi-Objective Feature Selection Algorithm for Metabolomics

Background: Metabolomics data is inherently characterized by high dimensionality and small sample size. Existing multi-objective particle swarm optimization (MOPSO)-based feature selection algorithms suffer from two critical limitations: they generally neglect the stability of se...