1.Therapeutic efficacy of ruxolitinib combined with low-dose hormone in aGVHD after allogeneic hematopoietic stem cell transplantation
Yue HU ; Xupai ZHANG ; Sihan LAI ; Shan ZHANG ; Lei MA ; Xiao WANG ; Yan DENG ; Ying HAN ; Ying HE ; Guangcui HE ; Hai YI
Chinese Journal of Blood Transfusion 2026;39(4):506-512
Objective: To evaluate the efficacy and safety of ruxolitinib combined with low-dose hormone for patients with acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Methods: Thirty patients with aGVHD after allo-HSCT admitted to the Department of Hematology of the General Hospital of Western Theater Command from November 2021 to November 2024 were retrospectively analyzed. All patients were treated with low-dose hormone (methylprednisolone 0.3-1 mg kg
-d
) combined with ruxolitinib 5-10 mg d
. The efficacy and adverse reactions were observed during the follow-up period to analyze the survival outcomes of the patients. Results: A total of 30 patients with aGVHD after allo-HSCT were included in this study, consisting of 15 (50%) males and 15 (50%) females with a median age of 34 year-old (ranging from 14 to 62). Classification by disease type: there were 18 cases of acute myeloid leukemia, 4 cases of acute lymphoblastic leukemia, 4 cases of aplastic anemia, and 4 cases of myelodysplastic syndrome. Classification by aGVHD severity: there were 27 cases (90%) of Ⅱ-Ⅳ degree aGVHD and 11 cases (36.7%) of Ⅲ-Ⅳ degree aGVHD. Ruxolitinib in combination with low-dose glucocorticoid treatment yield responses in 28 (93.3%) patients, of which 27 (90%) achieved complete remission (CR), while 1 (3.3%) showed partial remission (PR). One patient (3.3%) had no response (NR), and 1 patient (3.3%) exhibited progressed disease (PD). Overall survival (OS) at 1 year of transplantation was 73.9% (95%CI 49.5% to 87.7%), progression-free survival (PFS) was 93.3% (95%CI 75.9% to 98.3%), non-relapse mortality (NRM) was 20.6% (95%CI 7.9% to 47.4%), and median survival time was 27.6 months. Conclusion: Ruxolitinib combined with low-dose hormones is safe and effective in the treatment of aGVHD after allo-HSCT.
2.Evaluation of a deep learning-driven centerline extraction algorithm for optimizing the diagnosis of the"gray zone"in noninvasive coronary fractional flow reserve
Zi-qiang GUO ; Xi WANG ; Zi-nuan LIU ; Yi-pu DING ; Ran XIN ; Dong-kai SHAN ; Jun GUO ; Yun-dai CHEN ; Jun-jie YANG
Chinese Journal of Interventional Cardiology 2025;33(6):312-318
Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P<0.001;DeepCL-FFR:r=0.86,P<0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95%CI 0.94-0.99)and MCP-FFR(AUC 0.92,95%CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8%,whereas DeepCL-FFR increased it to 89.7%.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95%CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95%CI 0.54-0.87)(P<0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."
3.Relationship between type 2 diabetes mellitus and cognitive decline:a 4-year prospective cohort study
Liangjun DANG ; Yi ZHAO ; Ling GAO ; Shan WEI ; Chen CHEN ; Junlong FENG ; Jin WANG ; Kang HUO ; Qiumin QU ; Suhang SHANG
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(5):749-754
Objective To investigate the relationship between type 2 diabetes mellitus(T2DM)and cognitive decline.Methods Data were obtained from the cognitive impairment cohort of middle-aged and elderly population in rural areas of Xi'an City.The cohort consisted of residents aged 40 years and older in two villages of Huyi District,Xi'an.The baseline survey was completed between October 2014 and March 2015,with two follow-up visits in 2016 and 2018.The present study was conducted on cognitively normal people at baseline.Individual characteristics,lifestyle,and medical history were collected;physical and biochemical examinations were completed.According to medical history of T2DM and fasting blood glucose,the study population was divided into non-T2DM group,pre-existing T2DM group,and new-onset T2DM group.The Mini-Mental State Examination(MMSE)was used to assess global cognitive function.Participants with a drop of≥2 points in MMSE score from baseline after 4 years were defined as having cognitive decline.Chi-square test and multivariate Logistic regression analysis were employed to analyze the effect of T2DM status on the risk of cognitive decline.Results A total of 1 350 subjects completed the follow-up.In the follow-up population,1 096(81.2%)were free of T2DM,158(11.7%)already had T2DM at baseline,and 96(7.1%)developed new-onset T2DM during the follow-up.Cognitive decline was observed in 230 individuals after 4 years,representing 17.0%of the study population.The new-onset T2DM group had the highest 4-year incidence of cognitive decline(non-T2DM group vs.pre-existing T2DM group vs.new-onset T2DM group:15.7%vs.20.9%vs.26.0%,P=0.014),and the incidence of cognitive decline in the newly-onset T2DM group was significantly higher than that in the non-T2DM group(P=0.009).Multivariate Logistic regression analysis showed that the new-onset T2DM group had an increased risk of cognitive decline compared with the non-T2DM group within 4 years(OR=1.726,95%CI:1.029-2.896,P=0.039).However,no significant difference in 4-year risk of cognitive decline in the pre-existing T2DM group was observed(OR=1.402,95%CI:0.890-2.210,P=0.145).Conclusion Through the 4-year follow-up study of cognitively normal adults aged 40 and above in rural Xi'an,it was found that new-onset T2DM patients face a significantly elevated risk of cognitive decline,suggesting that cognitive decline may occur in the early stage of T2DM.
4.Research progress on glucose metabolism reprogramming of tumor-associated macrophages in gastric cancer
Yun-tian DENG ; Yuan GU ; Yi-hong SUN ; Hong-shan WANG
Fudan University Journal of Medical Sciences 2025;52(5):717-723
Tumor-associated macrophages(TAMs)are one of the key components of the tumor microenvironment(TME)in gastric cancer.Glucose metabolism reprogramming significantly impacts TAMs'polarization and immune functions,thereby regulating the onset and the progression of gastric cancer.This review summarizes glucose metabolism reprogramming in TAMs'polarization and explores its role in gastric cancer-related TAMs through aspects such as signaling regulation,transcription factors,and epigenetic modifications.This review aims to deepen the understanding of TAMs'role in gastric cancer progression and offer new perspectives for the immunotherapy in gastric cancer.
5.Guideline for assessment and maintenance of intrinsic capacity in older adults
Wenjing LIU ; Zhiwen WANG ; Yuelin YU ; Xin REN ; Hui JU ; Hong CHEN ; Junxin WANG ; Shan-shan CHEN ; Jia ZHOU ; Mo YI ; Wenxia WANG ; Lingjuan ZHANG ; Siye CHEN ; Yufan YANG ; Xiaomeng WANG ; Hong SUN
Chinese Journal of Nursing 2025;60(3):261-265
Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.
6.Nobiletin,an active ingredient of Fructus Aurantii,attenuates Ang Ⅱ-in-duced cardiac hypertrophy by inhibiting cardiomyocyte pyroptosis
Min TAN ; Jing CHEN ; Yi ZENG ; Jiayu CHEN ; Xianqing WANG ; Shan HUANG ; Yi CAI
Chinese Journal of Pathophysiology 2025;41(3):472-480
AIM:This study aimed to identify the key active components and signaling pathways in the tradi-tional Chinese medicine Fructus Aurantii that contribute to the prevention and treatment of cardiac hypertrophy,along with experimental validation.METHODS:H9C2 cardiomyocytes were pretreated with nobiletin(NOB)for 1 h and then ex-posed to 100 nmol/L angiotensin Ⅱ(Ang Ⅱ)for 24 h.RT-qPCR was used to quantify the mRNA expression of hypertrophy-related genes,including atrial natriuretic peptide(ANP),brain natriuretic peptide(BNP)and myosin heavy chain 7(MYH7).Immunofluorescence staining was employed to assess the surface area of cardiomyocytes.Additionally,a kit was utilized to measure levels of pyroptosis-related factors such as lactate dehydrogenase(LDH),interleukin-1β(IL-1β),IL-18 and caspase-1,while Western blot was performed to evaluate the expression of gasdermin D and caspase-1.RESULTS:Network pharmacology analyses indicated that NOB is the key active component in Fructus Aurantii that regu-lates cardiac hypertrophy,potentially through the pyroptosis pathway.Further molecular biology experiments confirmed that NOB inhibits Ang Ⅱ-induced cardiac hypertrophy and pyroptosis.Furthermore,the involvement of the pyroptosis pathway was highlighted in the protective effects of NOB against cardiac hypertrophy.CONCLUSION:The active compo-nent NOB in the traditional Chinese medicine Fructus Aurantii alleviates cardiac hypertrophy by inhibiting pyroptosis.
7.A randomized controlled trial of Naikan cognitive therapy on depressive symptoms and sleep quality in patients with chronic schizophrenia
Shan JIANG ; Yi WANG ; Wenyan YU ; Yuxuan WANG ; Shuzhe WANG ; Fuqiang MAO
Chinese Mental Health Journal 2025;39(4):321-326
Objective:To investigate the efficacy of Naikan cognitive therapy(NCT)combined with medica-tion in improving depressive symptoms and sleep quality in patients with chronic schizophrenia.Methods:Patients were included if they met the following criteria:diagnosed with schizophrenia based on ICD-10 criteria,a disease course of ≥2 years,stable condition under maintenance antipsychotic medication,presence of depressive symptoms and sleep quality issues,and no use of antidepressants in the past two months.A total of 64 eligible patients were randomly assigned to the NCT group(n=32)or the mental health education(MEC)group(n=32).The interven-tion lasted 6 days,with 2 patients from each group dropping out.The Beck Depression Inventory-Ⅱ(BDI-Ⅱ)and Pittsburgh Sleep Quality Index(PSQI)were used to assess depressive symptoms and sleep quality.Results:After the intervention,the BDI-Ⅱ score difference(post-treatment score minus pre-treatment score)in the NCT group was significantly lower than that in the MEC group(P<0.001).Similarly,the PSQI total score difference was also lower in the NCT group compared to the MEC group(P<0.001).Conclusion:Adding Naikan cognitive therapy to routine medication treatment can effectively improve depressive symptoms and sleep quality in patients with chronic schizophrenia.
8.Corylin inhibits Ang Ⅱ-induced cardiomyocyte hypertrophy by modulating SIRT1-/NF-κB-dependent signaling pathway
Min TAN ; Li-duan HUANG ; Yan-hong HOU ; Xiang-yue HU ; Jing CHEN ; Xian-qing WANG ; Shan HUANG ; Yi CAI
Chinese Pharmacological Bulletin 2025;41(6):1142-1148
Aim To investigate the role of corylin in angiotensin Ⅱ(Ang Ⅱ)-induced cardiomyocyte hy-pertrophy and its underlying mechanisms.Methods An Ang Ⅱ-induced cardiomyocyte hypertrophy model was established and treated with corylin.Real-time PCR was employed to assess hypertrophic gene mRNA expression,and immunofluorescence was used to meas-ure cardiomyocyte surface area.Western blot and en-zyme activity assay kits were used to evaluate SIRT1 expression and activity.Results Corylin markedly mitigated Ang Ⅱ-induced hypertrophic gene expression and cardiomyocyte surface area enlargement.Moreo-ver,it prevented the Ang Ⅱ-mediated decline in SIRT1 protein levels and deacetylase activity.Further investi-gation indicated that corylin inhibited Ang Ⅱ-driven NF-κB transcriptional activity and the expression of its downstream target genes,such as TNF-α,IL-6,and IL-1β.Notably,SIRT1 silencing abolished the protective effects of corylin against cardiomyocyte hypertrophy,as well as its regulation of the SIRT1/NF-κB signaling pathway.Conclusion Corylin suppresses cardiomyo-cyte hypertrophy by modulating the SIRT1-dependent NF-κB signaling pathway.
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

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