The Type III Secretion System (T3SS) serves as a pivotal virulence apparatus for numerous Gram-negative bacterial pathogens, enabling them to infect both animal and plant hosts. Functioning as a molecular syringe, the T3SS directly translocates bacterial effector proteins from the bacterial cytoplasm into the interior of eukaryotic host cells. These effectors are central weapons that precisely manipulate a wide spectrum of host cellular physiological processes, ranging from cytoskeletal dynamics to immune signaling, to establish a favorable niche for bacterial survival and proliferation. Among the diverse arsenal of T3SS effectors, the YopJ family constitutes a critical group of virulence factors. Members of this family are characterized by a conserved catalytic triad structure—a hallmark of the CE clan of cysteine proteases that has been evolutionarily repurposed to confer acetyltransferase activity. A defining and intriguing feature of these enzymes is their stringent dependence on a host-derived eukaryotic cofactor, inositol hexakisphosphate (IP₆), for allosteric activation. This requirement acts as a sophisticated molecular safeguard, ensuring enzymatic activity only within the appropriate host environment, thereby preventing detrimental effects on the bacterium itself. While seminal studies on individual members such as Yersinia’s YopJ and Salmonella’s AvrA have provided deep mechanistic insights, a systematic and integrative understanding of the structure-function relationships across the entire family remains fragmented. Key questions persist regarding how a conserved catalytic core has diverged to recognize distinct host substrates in different kingdoms of life. To address this gap, this article provides a systematic review of the YopJ family, focusing on three interconnected aspects: their structural features, their catalytic mechanism, and their divergent immunosuppressive strategies in animal versus plant hosts. By conducting a comparative analysis of the sequences and resolved three-dimensional structures of three representative members (e.g., HopZ1a, PopP2, AvrA), we elucidate regions of significant variation embedded within the conserved core catalytic architecture. These variable regions, often involving surface loops and substrate-binding interfaces, are crucial determinants of target specificity and functional specialization. The functional divergence of this effector family is most apparent when comparing their modes of action in different hosts. In animal hosts, YopJ-family effectors primarily sabotage innate immune signaling pathways. They achieve this by acetylating key serine and threonine residues within the activation loops of critical kinases in the MAPK and NF‑κB pathways. This post-translational modification blocks the phosphorylation and subsequent activation of these kinases, leading to potent suppression of inflammatory cytokine production. Conversely, in plant hosts, the strategy broadens to dismantle the two-tiered plant immune system. YopJ homologs target a more diverse set of substrates, including immune-associated receptor-like cytoplasmic kinases (RLCKs), microtubule networks via tubulin acetylation (which disrupts cellular trafficking and signaling), and transcription factors central to defense gene regulation. This multi-target approach effectively suppresses both Pattern-Triggered Immunity (PTI) and Effector-Triggered Immunity (ETI). In conclusion, this synthesis aims to deepen the mechanistic understanding of YopJ family-mediated pathogenesis by integrating structural biology with cellular function across host kingdoms. Elucidating the precise molecular basis for substrate selection—how conserved platforms achieve target diversity—is a major frontier. Furthermore, this knowledge provides a vital theoretical foundation for developing novel anti-virulence strategies. Targeting the conserved IP₆-binding pocket or the catalytic acetyltransferase activity itself represents a promising avenue for designing broad-spectrum inhibitors that could disarm this critical family of bacterial effectors, potentially offering new therapeutic approaches against a range of pathogenic bacteria.

Because of the unclear active substances, metabolic pathways, and targets of new drugs of traditional Chinese medicine(TCM), non-clinical safety evaluation often fails to accurately locate the target organs and tissue exposed to medicinal toxicity. The human use experience(HUE) contains important safety information of TCM, while the clinical safety data in the past HUE are few and have not been effectively applied. Standardized prospective HUE studies should be carried out to collect the clinical safety data, in which appropriate physical and chemical indicators(including blood, urine, and stool routine), liver biochemical indicators, kidney biochemical indicators, and cardiovascular biochemical indicators should be selected for safety evaluation, and the detection time point and sample size should be rationally designed. Importance should be attached to the observation of symptoms and signs of adverse events/reactions in patients as well as the safety information of special groups such as the elderly, children, and pregnant women. The adverse events of TCM should be observed, judged, and treated according to the theory and the diagnosis and treatment mode of TCM. The clinical safety information about the HUE should be comprehensively collected for new drugs of TCM to make up for the lack of extrapolation of toxicological test results to humans. The unique advantages of clinical origin of new drugs of TCM should be given full play for cross-reference of the results of toxicological research and the conclusions of HUE safety evaluation. In addition, benefit-risk assessment should be conducted based on HUE, and a panoramic safety evaluation system characterized by macro and micro combination and in line with the characteristics of TCM should be established to improve the success rate in the research and development of new drugs of TCM.
Humans ; Drugs, Chinese Herbal/adverse effects* ; Medicine, Chinese Traditional/adverse effects* ; Drug-Related Side Effects and Adverse Reactions ; Female

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

OBJECTIVE: This study investigated the antidepression mechanisms of Xiaoyaosan (XYS), a classic Chinese prescription, from the perspective of energy metabolism in the brain and intestinal tissues. METHODS: Chronic unpredictable mild stress model-a classic depression rat model-was established. Effects of XYS on behaviors and gastrointestinal motility of depressed rats were investigated. Effects of XYS on energetic charge (EC), adenosine triphosphate-related enzymes, and key enzymes of energy metabolism in both hippocampus and jejunum tissues of depressed rats were investigated using high-performance liquid chromatography, biochemical analysis, and real-time quantitative polymerase chain reaction, respectively. Spearman correlation analysis was conducted to construct a correlation network of "behavior-brain energy metabolism-intestinal energy metabolism" of depression. RESULTS: XYS significantly reduced the abnormal behaviors that observed in depressed rats and increased the EC and the activity of Na⁺-K⁺-adenosine triphosphatase (ATPase) and Ca²⁺-Mg²⁺-ATPase in hippocampus and jejunum tissues of depressed rats. XYS restored the key energetic pathways that had been interrupted by depression, including glycolysis, tricarboxylic acid cycle, and oxidative phosphorylation. Furthermore, XYS exhibited antidepressive effects in terms of regulating energy metabolism in tissues of both brain and intestine. CONCLUSION XYS significantly corrected the disturbances in EC and energy metabolism-related enzymes of both brain and intestinal tissues, alleviating both core and concomitant symptoms of depression. The current findings underscore the role of energy metabolism in the antidepressive activity of XYS, providing a fresh perspective on depression, and novel research strategies for revealing the mechanism of actions of traditional Chinese medicines on multi-site and multi-symptom diseases. Please cite this article as: Xiao MT, Wang SY, Wu XL, Zhao ZY, Wang HM, Liu HM, Qin XM, Liu XJ. Antidepressant mechanism of Xiaoyaosan: A perspective from energy metabolism of the brain and intestine. J Integr Med. 2025; 23(6):706-720.
Animals ; Energy Metabolism/drug effects* ; Antidepressive Agents/therapeutic use* ; Drugs, Chinese Herbal/therapeutic use* ; Brain/drug effects* ; Male ; Depression/metabolism* ; Rats ; Rats, Sprague-Dawley ; Intestines/drug effects* ; Hippocampus/drug effects*

Organ transplantation is an effective treatment for end-stage organ failure, but postoperative infections and rejection reactions are key factors affecting the survival of the patients. Recently, the incidence of human parvovirus B19 (B19V) infection following transplantation has increased. B19V is a non-enveloped virus that primarily infects the upper respiratory tract and exhibits significant tropism for erythroid progenitor cells in the bone marrow, leading to the lysis of erythrocytes and hematological abnormalities. After B19V viremia, it may further infect other cells, triggering inflammatory responses and tissue damage. B19V infection may lead to chronic anemia in organ transplant patients, thereby affecting the success of the transplant and the survival of the patients. Therefore, it is essential to diagnose and monitor B19V infection post-transplantation. Due to the immunosuppressive therapy following transplantation, traditional serological detection methods, such as IgM and IgG antibody tests, are often unreliable. In contrast, molecular biological detection, especially real-time fluorescent quantitative PCR technology, provides more accurate results. However, the diversity of B19V genotypes may lead to the missed detection of some genotypes. Thus, it is necessary to use different detection techniques to improve the diagnostic accuracy of B19 virus infections. Additionally, there is a need to explore more precise diagnostic methods to enhance the early identification and management of B19V infection, further improving the survival and life quality of the patients.

Objective To analyze the diagnostic value of fat content measurement based on magnetic resonance multi-echo Dixon(ME-Dixon)technique combined with serological indicators for early liver fibrosis.Methods A total of 78 patients with early liver fibrosis who underwent liver biopsy at the First Affiliated Hospital of Army Medical University from August 2019 to October 2021 were included.According to the pathological results,the patients with early liver fibrosis were divided into the S0 group(n=21),the S1 group(n=32),and the S2 group(n=25).Meanwhile,the complete imaging examination results(including ME-Dixon sequence)and laboratory examination results[including hyaluronic acid(HA),procollagen Ⅲ(PCⅢ),collagen Ⅳ(CⅣ),laminin(LN),aspartate transaminase(AST),alanine amino-transferase(ALT),gamma-glutamyl transferase(GGT),alkaline phosphatase(ALP)]were collected.And the hepatic fat fraction(HFF)was measured by ME-Dixon technique.One-way ANOVA was used to analyze the differences in HFF and serological indicators among the three groups,and then factors with statistical differences in the univariate analysis were selected to draw receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was calculated to evaluate their value in the diagnosis of liver fibrosis and the degree of early liver fibrosis.Results There was no statistically significant difference in the PCⅢ,LN,AST,or ALT among the S0,S1,and S2 groups(P>0.05),while there were statistically significant differences in the HFF,HA,CⅣ,GGT,and ALP(P<0.05),and the levels of HA,CⅣ,GGT,and ALP in the S2 group were significantly higher than those in the S0 and S1 groups(P<0.05).ROC curve analysis showed that the above indicators for diagnosing liver fibrosis and the degree of early liver fibrosis based on AUC values were in the following order:HFF+GGT(0.72)>HFF(0.68)>GGT(0.61)>CⅣ(0.54)>ALP(0.53)>HA(0.48)and HA+CⅣ(0.71)>CⅣ(0.68)>HA(0.66)>GGT(0.61)>ALP(0.59)>HFF(0.46).Conclusion The fat content measurement based on magnetic resonance ME-Dixon tech-nique combined with serological indicators has significant reference value for the diagnosis of early liver fibrosis,and it plays a certain guid-ing role in clinical diagnosis and treatment.

Objective To design a precision nutrition information management system to improve clinical nutrition diagnosis and treatment.Methods A precision nutrition information management system was developed with such technologies as Internet,big data and remote diagnosis and treatment,which was composed of a hardware system and a software system.The hardware system consisted of a Web and interface server,a database server,a front-end server,a personal digital assistant,a barcode scanner and a label printer;the software system with B/S architecture encapsulated business functions into reusable and easily expandable modular components based on.NET technology stack,which was made up of three subsystems for outpatient nutrition diagnosis and treatment,inpatient nutrition diagnosis and treatment and nutrition stocking management.Results The system developed realized data sharing and interaction among multi information systems,and contributed to implementing rational,normalized and efficient outpatient nutrition diagnosis and treatment,inpatient nutrition support and nutrition stocking management.Conclusion The system developed meets the requirements for clinical nutrition diagnosis and treatment and enhances clinical nutrition service.[Chinese Medical Equipment Journal,2025,46(10):41-48]

Objective To analyze the diagnostic value of fat content measurement based on magnetic resonance multi-echo Dixon(ME-Dixon)technique combined with serological indicators for early liver fibrosis.Methods A total of 78 patients with early liver fibrosis who underwent liver biopsy at the First Affiliated Hospital of Army Medical University from August 2019 to October 2021 were included.According to the pathological results,the patients with early liver fibrosis were divided into the S0 group(n=21),the S1 group(n=32),and the S2 group(n=25).Meanwhile,the complete imaging examination results(including ME-Dixon sequence)and laboratory examination results[including hyaluronic acid(HA),procollagen Ⅲ(PCⅢ),collagen Ⅳ(CⅣ),laminin(LN),aspartate transaminase(AST),alanine amino-transferase(ALT),gamma-glutamyl transferase(GGT),alkaline phosphatase(ALP)]were collected.And the hepatic fat fraction(HFF)was measured by ME-Dixon technique.One-way ANOVA was used to analyze the differences in HFF and serological indicators among the three groups,and then factors with statistical differences in the univariate analysis were selected to draw receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was calculated to evaluate their value in the diagnosis of liver fibrosis and the degree of early liver fibrosis.Results There was no statistically significant difference in the PCⅢ,LN,AST,or ALT among the S0,S1,and S2 groups(P>0.05),while there were statistically significant differences in the HFF,HA,CⅣ,GGT,and ALP(P<0.05),and the levels of HA,CⅣ,GGT,and ALP in the S2 group were significantly higher than those in the S0 and S1 groups(P<0.05).ROC curve analysis showed that the above indicators for diagnosing liver fibrosis and the degree of early liver fibrosis based on AUC values were in the following order:HFF+GGT(0.72)>HFF(0.68)>GGT(0.61)>CⅣ(0.54)>ALP(0.53)>HA(0.48)and HA+CⅣ(0.71)>CⅣ(0.68)>HA(0.66)>GGT(0.61)>ALP(0.59)>HFF(0.46).Conclusion The fat content measurement based on magnetic resonance ME-Dixon tech-nique combined with serological indicators has significant reference value for the diagnosis of early liver fibrosis,and it plays a certain guid-ing role in clinical diagnosis and treatment.

Objective To design a precision nutrition information management system to improve clinical nutrition diagnosis and treatment.Methods A precision nutrition information management system was developed with such technologies as Internet,big data and remote diagnosis and treatment,which was composed of a hardware system and a software system.The hardware system consisted of a Web and interface server,a database server,a front-end server,a personal digital assistant,a barcode scanner and a label printer;the software system with B/S architecture encapsulated business functions into reusable and easily expandable modular components based on.NET technology stack,which was made up of three subsystems for outpatient nutrition diagnosis and treatment,inpatient nutrition diagnosis and treatment and nutrition stocking management.Results The system developed realized data sharing and interaction among multi information systems,and contributed to implementing rational,normalized and efficient outpatient nutrition diagnosis and treatment,inpatient nutrition support and nutrition stocking management.Conclusion The system developed meets the requirements for clinical nutrition diagnosis and treatment and enhances clinical nutrition service.[Chinese Medical Equipment Journal,2025,46(10):41-48]