1.Research progress on immune cells in cold ischemia-reperfusion injury of renal allografts
Kangyu LIU ; Zikai FANG ; Chengcheng YANG ; Jixian LIU ; Junjie ZHANG ; Zongyao FAN ; Bin NI ; Ming ZHENG ; Baixin SHEN
Journal of Modern Urology 2026;31(6):580-585
Cold ischemia-reperfusion injury (CIRI) is a major contributor to delayed graft function and long-term graft failure after kidney transplantation.Its pathogenesis involves multiple mechanisms, including energy metabolism disorders, oxidative stress and sterile inflammatory responses.Increasing evidence indicates that immune cells play a central regulatory role in the initiation and progression of CIRI.Damage-associated molecular patterns released during cold ischemia and reperfusion activate innate immunity, leading to the rapid recruitment of neutrophils, macrophages, dendritic cells and amplification of inflammatory cascades.Subsequently, adaptive immune cells, including T cells and B cells, are activated and further contribute to sustained inflammation, disruption of immune tolerance and graft injury.Through cytokine signaling, chemokine-mediated recruitment and antigen presentation, different immune cell subsets form a complex interactive network that ultimately determines the severity and outcome of CIRI.This review summarizes the roles and mechanisms of innate and adaptive immune cells in renal allograft CIRI, highlights their interconnections, and discusses emerging immune cell-targeted therapeutic strategies, aiming to provide a theoretical basis for improving clinical outcomes in kidney transplantation.
2.Progress of researches on toxoplasmosis control strategies based on the One Health concept
Huijun GAO ; Jing LI ; Pengyao LI ; Rui ZHUO ; Ze NI ; Bin ZHENG ; Shaohong LU
Chinese Journal of Schistosomiasis Control 2026;38(4):354-360
Toxoplasmosis, a zoonotic disease caused by the obligate intracellular parasite Toxoplasma gondii, is widely prevalent across the world. The life cycle of T. gondii involves definitive hosts (cats and felines), intermediate hosts (humans, livestock, and wild animals), and the environment (such as soil and water). The One Health concept brings together the health of humans, animals, and the environment, with aims to pursue the optimal health outcomes through coordinated management. Management of toxoplasmosis from a One Health perspective may provide key insights into formulation of interventions for toxoplasmosis control. This article reviews the complex biological characteristics and life cycle of T. gondii, as well as the importance of felines as definitive hosts in the transmission of toxoplasmosis, analyzes the epidemiology, ecological impact and economic burden of toxoplasmosis, and discusses the bottlenecks in diagnostic and monitoring systems, environmental management technologies, and One Health interdisciplinary collaboration. In addition, toxoplasmosis control strategies are proposed based on the One Health concept, covering public health interventions, management of animal sources, multi-sector collaboration, and development of novel vaccines. These strategies provide insights into interruption of toxoplasmosis transmission and maintenance of the global public health security.
3.Changes of lymphocyte subsets in peripheral blood and immunological pathogenesis of Graves disease
Tieqiang LIU ; Shan HUANG ; Li LIAO ; Xinyang LI ; Peng SUN ; Yi WANG ; Yijian ZHANG ; Bingxia LI ; Xuemin WEI ; Yufang LI ; Shixin SUN ; Yanli NI ; Yi FANG ; Bin ZHANG
Chinese Journal of Laboratory Medicine 2025;48(11):1439-1445
Objective:To retrospectively analyze the changes in the proportion of refined lymphocyte subsets in peripheral blood of patients with Graves disease (GD), and their correlation with the clinical characteristics and efficacy of GD, and to explore the immunological pathogenesis of Graves disease for seeking new therapeutic targets.Methods:A total of 97 newly diagnosed GD patients (GD group), 27 patients after treatment (treatment group), and 31 healthy individuals (control group) who visited the Fifth Medical Center of the PLA General Hospital from 2018 to 2021 were included in this study. The data of refined lymphocyte subsets, thyroid function, blood routine and clinical treatment of the three groups were compared and analyzed. The t-test and rank sum test were used to compare the proportions of lymphocyte subsets among different groups, and Pearson correlation analysis was used to analyze the correlation between the proportions of lymphocyte subsets and thyroid function indicators.Results:The proportion of B cells in GD group was higher than that in the control group [16.2%(11.8%, 21.8%) vs 10.2%(8.1%,13.6%)], while the proportion of natural killer (NK) cells was lower [9.4%(4.9%, 13.6%) vs 14.6%(12.1%,18.8%)], and the differences were statistically significant ( P<0.05). Abnormal T cell differentiation: the proportions of functional cells, including activated T cells, memory T cells, clustering antigen(CD)4+memory T cells, Th1 cells, and Tc1 cells, were lower than that in the control group [3.2%(2.1%, 5.7%) vs 5.8%(3.0%, 9.3%), P<0.05; 36.7% (29.9%, 48.1%) vs 48.0%(39.2%,57.7%), P<0.05; 23.1%(17.4%, 30.1%) vs 28.9%(23.3%,34.6%), P<0.05; 16.4% (11.8%, 23.6%) vs 24.3%(16.9%,28.5%), P<0.05; 28.5% (14.7%, 39.2%) vs 46.3%(21.6%,69.2%), P<0.05]. The proportion of activated T cells in the treatment group was higher than that in the GD group [6.5% (4.6%, 13.6%) vs 3.2% (2.1%, 5.7%), P<0.05]. The total triiodothyronine results showed positive correlations with B cells ( r=0.356, P<0.01) and negative correlations with NK cells ( r=?0.416, P<0.01), while the total thyroxine values showed negative correlations with NK cells and activated T cells ( r=?0.318,?0.335; P<0.01). Thyroid stimulating hormone and CD8+initial T cells were positively correlated ( r=0.382, P<0.01). The proportion of B cells, cytotoxic T cells and suppressor T cells in CD8+cells of patients with complications [such as Graves orbitopathy (GO), thyroid toxic cardiomyopathy, etc.] was significantly different from that of the simple GD patients [18.3% (14.1%, 27.1%) vs 14.6% (10.8%, 21.4%), Z=2.54, P<0.05; 73.4%(65.6%,83.6%)vs 65.0%(50.3%,79.3%), Z=2.93, P<0.05; 26.6%(16.4%, 37.5%)vs 35.0%(20.7%,49.7%), Z=?2.74, P<0.05]. The proportion of suppressor T cells in GO patients was lower than that in non-GO patients [6.1% (3.4%, 8.1%) vs 8.5% (4.9%, 13.6%), Z=?3.20 P<0.05]. Conclusion:There are significant alterations in the circulating immune cells of GD patients, suggesting that immunological abnormalities play a crucial role in the onset and progression of the disease.
4.Generalized Functional Linear Models: Efficient Modeling for High-dimensional Correlated Mixture Exposures.
Bing Song ZHANG ; Hai Bin YU ; Xin PENG ; Hai Yi YAN ; Si Ran LI ; Shutong LUO ; Hui Zi WEIREN ; Zhu Jiang ZHOU ; Ya Lin KUANG ; Yi Huan ZHENG ; Chu Lan OU ; Lin Hua LIU ; Yuehua HU ; Jin Dong NI
Biomedical and Environmental Sciences 2025;38(8):961-976
OBJECTIVE:
Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects.
METHODS:
We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies.
RESULTS:
We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity.
CONCLUSION
GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans
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Environmental Exposure/analysis*
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Linear Models
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Nutrition Surveys
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Environmental Pollutants
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Body Mass Index
5.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Changes of lymphocyte subsets in peripheral blood and immunological pathogenesis of Graves disease
Tieqiang LIU ; Shan HUANG ; Li LIAO ; Xinyang LI ; Peng SUN ; Yi WANG ; Yijian ZHANG ; Bingxia LI ; Xuemin WEI ; Yufang LI ; Shixin SUN ; Yanli NI ; Yi FANG ; Bin ZHANG
Chinese Journal of Laboratory Medicine 2025;48(11):1439-1445
Objective:To retrospectively analyze the changes in the proportion of refined lymphocyte subsets in peripheral blood of patients with Graves disease (GD), and their correlation with the clinical characteristics and efficacy of GD, and to explore the immunological pathogenesis of Graves disease for seeking new therapeutic targets.Methods:A total of 97 newly diagnosed GD patients (GD group), 27 patients after treatment (treatment group), and 31 healthy individuals (control group) who visited the Fifth Medical Center of the PLA General Hospital from 2018 to 2021 were included in this study. The data of refined lymphocyte subsets, thyroid function, blood routine and clinical treatment of the three groups were compared and analyzed. The t-test and rank sum test were used to compare the proportions of lymphocyte subsets among different groups, and Pearson correlation analysis was used to analyze the correlation between the proportions of lymphocyte subsets and thyroid function indicators.Results:The proportion of B cells in GD group was higher than that in the control group [16.2%(11.8%, 21.8%) vs 10.2%(8.1%,13.6%)], while the proportion of natural killer (NK) cells was lower [9.4%(4.9%, 13.6%) vs 14.6%(12.1%,18.8%)], and the differences were statistically significant ( P<0.05). Abnormal T cell differentiation: the proportions of functional cells, including activated T cells, memory T cells, clustering antigen(CD)4+memory T cells, Th1 cells, and Tc1 cells, were lower than that in the control group [3.2%(2.1%, 5.7%) vs 5.8%(3.0%, 9.3%), P<0.05; 36.7% (29.9%, 48.1%) vs 48.0%(39.2%,57.7%), P<0.05; 23.1%(17.4%, 30.1%) vs 28.9%(23.3%,34.6%), P<0.05; 16.4% (11.8%, 23.6%) vs 24.3%(16.9%,28.5%), P<0.05; 28.5% (14.7%, 39.2%) vs 46.3%(21.6%,69.2%), P<0.05]. The proportion of activated T cells in the treatment group was higher than that in the GD group [6.5% (4.6%, 13.6%) vs 3.2% (2.1%, 5.7%), P<0.05]. The total triiodothyronine results showed positive correlations with B cells ( r=0.356, P<0.01) and negative correlations with NK cells ( r=?0.416, P<0.01), while the total thyroxine values showed negative correlations with NK cells and activated T cells ( r=?0.318,?0.335; P<0.01). Thyroid stimulating hormone and CD8+initial T cells were positively correlated ( r=0.382, P<0.01). The proportion of B cells, cytotoxic T cells and suppressor T cells in CD8+cells of patients with complications [such as Graves orbitopathy (GO), thyroid toxic cardiomyopathy, etc.] was significantly different from that of the simple GD patients [18.3% (14.1%, 27.1%) vs 14.6% (10.8%, 21.4%), Z=2.54, P<0.05; 73.4%(65.6%,83.6%)vs 65.0%(50.3%,79.3%), Z=2.93, P<0.05; 26.6%(16.4%, 37.5%)vs 35.0%(20.7%,49.7%), Z=?2.74, P<0.05]. The proportion of suppressor T cells in GO patients was lower than that in non-GO patients [6.1% (3.4%, 8.1%) vs 8.5% (4.9%, 13.6%), Z=?3.20 P<0.05]. Conclusion:There are significant alterations in the circulating immune cells of GD patients, suggesting that immunological abnormalities play a crucial role in the onset and progression of the disease.
9.Study on the Mechanism of Malt Alcoholic Extract in the Treatment of Depression Induced by Chronic Unpredictable Mild Stress in Rats Based on Intestinal Flora
Yindan XIANG ; Ping NI ; Mengjuan TAO ; Tianhang LI ; Yujie ZHOU ; Huilan XU ; Bin WANG ; Qingyuan ZENG ; Yonggang CHEN
Herald of Medicine 2025;44(8):1199-1207
Objective To explore the mechanism of malt alcohol extract improving depression-like behavior induced by CUMS in rats by regulating gut microbiota.Methods The depression model of rats was established using an 8-weeks CUMS procedure,and the administration group was given low(59.6 mg·kg-1)and high(178.8 mg·kg-1)doses of malt alcohol extract,respectively.The depression-like behavior of rats was evaluated by classic behavioral test.The composition of intestinal microbiota of rats was analyzed by 16S rRNA sequencing.The morphological changes of colon were observed by hematoxylin and eosin(HE),the expression of ZO-1 and Occludin in colon was detected by immunofluorescence(IF),and the expression of IL-10,IL-1βand 5-HT were detected by ELISA.Results The low dose of malt alcohol extract attenuated the depressive behavior and restored the expression of 5-HT in the brain of CUMS rats.16S rRNA sequencing results showed that the diversity and relative abundance of gut microbiota changed after treatment with the low dose of malt alcohol extract.ELISA results showed that the low dose of malt alcohol extract significantly reversed the CUMS-induced reduction of IL-10 and elevation of IL-1 β.HE results showed that the low dose of malt alcohol extract significantly ameliorated CUMS-induced structural damage in colon.IF results showed increased protain expression of intestinal epithelial barrier tight junction proteins ZO-1 and Occludin by the low dose of malt alcohol extract.Conclusion The low dose of malt alcohol extract can ameliorate CUMS-induced depressive-like behavior in rats by modulating intestinal flora,restoring 5-HT expression in the brain,inhibiting inflammation,and repairing the intestinal barrier.
10.Development of a new paradigm for precision diagnosis and treatment in traditional Chinese medicine
Jingnian NI ; Mingqing WEI ; Ting LI ; Jing SHI ; Wei XIAO ; Jing CHENG ; Bin CONG ; Boli ZHANG ; Jinzhou TIAN
Journal of Beijing University of Traditional Chinese Medicine 2025;48(1):43-47
The development of traditional Chinese medicine (TCM) diagnosis and treatment has undergone multiple paradigms, evolving from sporadic experiential practices to systematic approaches in syndrome differentiation and treatment and further integration of disease and syndrome frameworks. TCM is a vital component of the medical system, valued alongside Western medicine. Treatment based on syndrome differentiation embodies both personalized treatment and holistic approaches; however, the inconsistency and lack of stability in syndrome differentiation limit clinical efficacy. The existing integration of diseases and syndromes primarily relies on patchwork and embedded systems, where the full advantages of synergy between Chinese and Western medicine are not fully realized. Recently, driven by the development of diagnosis and treatment concepts and advances in analytical technology, Western medicine has been rapidly transforming from a traditional biological model to a precision medicine model. TCM faces a similar need to progress beyond traditional syndrome differentiation and disease-syndrome integration toward a more precise diagnosis and treatment paradigm. Unlike the micro-level precision trend of Western medicine, precision diagnosis and treatment in TCM is primarily reflected in data-driven applications that incorporate information at various levels, including precise syndrome differentiation, medication, disease management, and efficacy evaluation. The current priority is to accelerate the development of TCM precision diagnosis and treatment technology platforms and advance discipline construction in this area.


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