Hemorrhagic shock (HS) is one of the leading causes of death among young adults worldwide. Multiple organ dysfunction in HS is caused by an imbalance between tissue oxygen supply and demand, which is closely related to the poor prognosis of patient. Mitochondrial dysfunction is one of the key mechanisms contributing to multiple organ dysfunction in HS, while mitochondrial quality control regulates mitochondrial function through a series of processes, including mitochondrial biogenesis, mitochondrial dynamics, mitophagy, mitochondrial-derived vesicles, and mitochondrial protein homeostasis. Modulating mitochondrial quality control can improve organ dysfunction. This review aims to summarize the effects of mitochondrial dysfunction on organ function in HS and discuss the potential mechanisms of mitochondrial quality control, providing insights into the injury mechanisms underlying HS and guiding clinical management.

Renal fibrosis is a common pathological manifestation of all chronic kidney diseases.Ferroptosis is closely related to the pathogenesis of renal fibrosis and can influence the onset of renal fibrosis,and it is the most critical step in the development of renal fibrosis.The paper describes the relationship between ferroptosis and renal fibrosis,discusses the research progress of ferroptosis on renal fibrosis,and further summarizes,analyzes,and describes the effective and highly targeted natural active ingredients of traditional Chinese medicines against ferroptosis,and concludes that the reversal of renal fibrosis is achieved through the regulation of the key targets of ferroptosis,with a view to providing a broad new direction for its prospects in the field of renal fibrotic disease prevention and treatment;and to provide a scientific guide for clinical treatment and basis for clinical treatment.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease which could result disabling in late stage.The objectivity in imaging diagnosis of KOA is often various due to human factors and other influences.Artificial intelligence(AI)has been proved highly valuable for KOA.The progresses of AI in imaging diagnosis and grading of KOA,detecting cartilages lesions,predicting pain and long-term care of KOA were reviewed in this article.

Objective:To investigate the frequencies and subset distribution of peripheral helper(Tph)T cells in patients with immune thrombocytopenia(ITP),and explore the pathogenesis of ITP.Methods:A total of 25 newly diagnosed ITP patients treated in The Second Affiliated Hospital of Dalian Medical University from January to December 2022 were selected,and 25 healthy volunteers(age-and sex-matched)were recruited as the control group.Flow cytometry was used to detect the subsets of CD4+T cells and Tph cells.Results:The frequency of effector memory(CCR7-CD45RO+CD4+)T cells in ITP patients was significantly higher than that in healthy controls(P＜0.05).The frequency of Tph cells in ITP patients was also significantly higher than that in healthy controls(P＜0.001),and most of the Tph cells in ITP patients were effector memory T cells.Furthermore,the expressions of T-cell costimulatory molecules in Tph cells,including ICOS and CD84,were similar to those in follicular helper T(Tfh)cells.CXCR3-CCR6-Tph(Tph2)subgroup was dominant in Tph cells,but the frequency of CXCR3+CCR6-Tph(Tph1)cells in ITP patients was much higher than that in healthy controls(P＜0.05).Conclusion:Tph cells,especially Tph1 cells,were abnormally expanded in ITP patients,which may be a potential etiology of ITP.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

ObjectiveTo clone coumarate-3-hydroxylase gene （C3H） from Angelica sinensis， and analyze the correlation between its bioinformatics， expression patterns and content of ferulic acid， and to explore the functions of ASC3H. MethodReal-time polymerase chain reaction （Real-time PCR） was used to clone the full-length cDNA of ASC3H based on the transcriptome dataset of A. sinensis， and the bioinformatics analysis of the gene sequence was carried out. Real-time PCR and high performance liquid chromatography （HPLC） were used to determine relative expression of ASC3H and content of ferulic acid in different root tissues of A. sinensis （periderm， cortex and stele）. ResultThe open reading frame （ORF） of ASC3H （GenBank accession number： MN2550298） was 1 530 bp， encoding 509 amino acids， with a theoretical molecular weight of 57.86 kDa and an isoelectric point of 8.36. It was a hydrophilic protein that was located in the chloroplast with multiple phosphorylation sites and a transmembrane region， and contained a conserved domain CGYDWPKGYGPIINVW_P450 （383-399 aa） in cytochrome P450. Multiple amino acid sequence alignment analysis showed that ASC3H had high similarity with C3H from other plants， especially Ammi majus in Umbelliferae. The Real-time PCR revealed that ASC3H had different expressions in periderm， cortex and stele tissues of A. sinensis roots. It was found from HPLC that the cortex tissues had the highest content of ferulic acid， and the stele tissues had the lowest. ConclusionASC3H was successfully cloned from A. sinensis， and its sequence characteristics were understood more clearly， suggesting that ASC3H might be involved in the ferulic acid biosynthesis pathway of A. sinensis. This paper provided a basis for further studying the functions of the gene and exploring the biosynthesis and regulation mechanism of ferulic acid in A. sinensis， while laying the foundation for the genetic improvement of A. sinensis．