1.Research progress on the role of macrophages in tumor immunotherapy and related therapeutic agents
Qi LIU ; Kelei CHEN ; Xiang MENG ; Chengrui FENG ; Jingyi QIAN ; Hongjuan ZHANG ; Shikui GUAN
Immunological Journal 2025;41(6):433-439
Tumor immunotherapy,recognized as the fourth major treatment modality alongside surgery,radiotherapy,and chemotherapy,fundamentally relies on mobilizing and enhancing the body's intrinsic immune system to achieve the precise targeting and elimination of neoplastic lesions.In this therapeutic framework,macrophages derived from blood monocyte differentiation serve as critical components of the innate immune defense system and exert profound impacts within the tumor microenvironment(TME).As the dominant inflammatory cell population infiltrating the TME,tumor-associated macrophages(TAMs)not only perform a key function in immune regulation but also serve as a paradigm for the connection between inflammation and tumors.Therapeutic strategies targeting TAMs aim to reverse the immunosuppressive milieu of the TME through multifaceted regulatory mechanisms,including cellular depletion or functional reprogramming,thereby effectively impeding tumor progression.This review systematically analyzes the intricate immune regulatory mechanisms of macrophages in tumor immunotherapy and synthesizes research advancements in major therapeutic agents targeting TAMs,aiming to provide researchers in the field of tumor immunotherapy and developers of macrophage-modulating pharmaceuticals with novel theoretical insights and practical guidelines.
2.Research progress on the role of macrophages in tumor immunotherapy and related therapeutic agents
Qi LIU ; Kelei CHEN ; Xiang MENG ; Chengrui FENG ; Jingyi QIAN ; Hongjuan ZHANG ; Shikui GUAN
Immunological Journal 2025;41(6):433-439
Tumor immunotherapy,recognized as the fourth major treatment modality alongside surgery,radiotherapy,and chemotherapy,fundamentally relies on mobilizing and enhancing the body's intrinsic immune system to achieve the precise targeting and elimination of neoplastic lesions.In this therapeutic framework,macrophages derived from blood monocyte differentiation serve as critical components of the innate immune defense system and exert profound impacts within the tumor microenvironment(TME).As the dominant inflammatory cell population infiltrating the TME,tumor-associated macrophages(TAMs)not only perform a key function in immune regulation but also serve as a paradigm for the connection between inflammation and tumors.Therapeutic strategies targeting TAMs aim to reverse the immunosuppressive milieu of the TME through multifaceted regulatory mechanisms,including cellular depletion or functional reprogramming,thereby effectively impeding tumor progression.This review systematically analyzes the intricate immune regulatory mechanisms of macrophages in tumor immunotherapy and synthesizes research advancements in major therapeutic agents targeting TAMs,aiming to provide researchers in the field of tumor immunotherapy and developers of macrophage-modulating pharmaceuticals with novel theoretical insights and practical guidelines.
3.Relationship between serum ROCK2,SDC-1,Apelin-13 expression and renal function and prognosis in patients with diabetes nephropathy
Hongjuan LI ; Wen LI ; Shuang REN ; Yinping MENG ; Liu ZHANG
International Journal of Laboratory Medicine 2025;46(22):2732-2737,2742
Objective To investigate the relationship between serum Rho-associated coiled coil containing protein kinase 2(ROCK2),syndecan-1(SDC-1),Apelin-13 and renal function and prognosis in patients with diabetes nephropathy.Methods From November 2019 to November 2021,153 patients with diabetic nephrop-athy admitted to the hospital were selected as the study group,and 153 patients with simple diabetes were se-lected as the simple diabetes group.Another 153 healthy individuals who underwent physical examinations during the same period were selected as the healthy control group.The levels of serum ROCK2,SDC-1 and Apelin-13 were determined by enzyme-linked immunosorbent assay.Pearson correlation analysis was used to analyze the correlations between the levels of serum ROCK2,SDC-1,and Apelin-13 and the clinical data of pa-tients with urinary nephropathy.Univariate and multivariate Logistic regression analyses were conducted to analyze the influencing factors of poor prognosis in patients with diabetic nephropathy.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum ROCK2,SDC-1 and Apelin-13 for poor prognosis of patients with diabetes nephropathy.Results Compared with the healthy control group,the levels of serum ROCK2 and SDC-1 in the simple diabetes group and the study group increased,the level of Apelin-13 decreased,the estimated glomerular filtration rate(eGFR)decreased,and the ratio of urinary albu-min to creatinine(UACR)increased,and the differences were statistically significant(P<0.05).The levels of serum ROCK2,SDC-1,Apelin-13 and UACR in the study group were higher than those in the simple diabe-tes group,while eGFR was lower than that in the simple diabetes group,and the differences were statistically significant(P<0.05).Pearson correlation analysis indicated that the levels of serum ROCK2,SDC-1,and Apelin-13 in the study group were negatively correlated with eGFR(P<0.05),and positively correlated with renal disease stage,creatinine,24-hour proteinuria,and UACR index(P<0.05).Compared with the good prognosis group,the levels of serum ROCK2,DCC-1,Apelin-13 and UACR in the poor prognosis group in-creased(P<0.05),and eGFR decreased(P<0.05).Univariate and multivariate Logistic regression analyses indicated that the levels of serum ROCK2,SDC-1,and Apelin-13 were all influencing factors for the prognosis of patients(P<0.05).ROC curve analysis indicated that the area under the curve(AUC)for the combined prediction of poor prognosis in patients by serum ROCK2,DCC-1,and Apelin-13 levels was significantly grea-ter than that by ROCK2(Z=2.854,P=0.004)and DCC-1(Z=2.426,P=0.015)and Apelin-13(Z=2.172,P=0.030)were predicted separately.Conclusion The serum ROCK2,DCC-1 and Apelin-13 levels in patients with diabetic nephropathy increase and are related to renal function.The combination of the three has a relatively high predictive efficacy for the prognosis of patients.
4.Random forest model analysis of cognitive emotion regulation strategies and fear of negative evaluation among college students
WANG Xingyu, MENG Sha, WANG Ying, CHANG Hongjuan
Chinese Journal of School Health 2024;45(11):1579-1583
Objective:
To explore the impact of cognitive emotion regulation strategies on fear of negative evaluation among college students using a random forest algorithm in order to provide empirical evidence to support mental health improvements.
Methods:
In March 2024, a convenience sampling method was used to conduct an online survey with 5 750 college students from three universities in Wuhan, Hubei Province. A least squares regression model was employed to analyze whether cognitive emotion regulation strategies significantly influenced fear of negative evaluation. A random forest model was also constructed to identify predictors and rank the importance of various factors affecting fear of negative evaluation.
Results:
The least squares regression model indicated that cognitive emotion regulation strategies significantly impacted fear of negative evaluation among college students ( β=4.25, 95%CI=3.81-4.68, P <0.05). Family support, including mild impairment ( β=-2.71, 95%CI =-3.36 to -2.06, P <0.05) and severe impairment in the domain ( β=-1.64, 95%CI =-2.27 to -1.01, P <0.05), were associated with increased fear. The random forest model further revealed that cognitive emotion regulation strategies, family support index, and academic ranking were the main factors affecting the fear of negative evaluation among college students.
Conclusions
Cognitive emotion regulation strategies are key factors influencing fear of negative evaluation among college students. Universities should provide enhanced mental health resources, offer training to strengthen cognitive emotion regulation strategies, and offer additional support to students with low family support.
5.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
8.Electrophysiological characteristics of neuronal intranuclear inclusion disease and its auxiliary diagnostic value
Qingjie LI ; Lei BAO ; Ruixue ZHANG ; Hongjuan SHI ; Shenyang ZHANG ; Dandan ZUO ; Wenqing MENG ; Guiyun CUI ; Hao CHEN
Chinese Journal of Neuromedicine 2023;22(4):374-381
Objective:To summarize the electrophysiological characteristics of neuronal intranuclear inclusion disease (NIID) and explore the value of electrophysiological examination in NIID auxiliary diagnosis.Methods:Twenty NIID patients diagnosed by pathological biopsy and genetic confirmation (15 were symptomatic, 5 were asymptomatic), admitted to Department of Neurology, Affiliated Hospital of Xuzhou Medical University from February 2020 to June 2022 were chosen. Peripheral motor/sensory nerve conduction, needle electromyography, F wave, repetitive electrical stimulation, skin sympathetic reflex (SSR), and tremor were analyzed. Peripheral nerve conduction and SSR parameters were compared between 15 patients with symptomatic NIID (symptomatic NIID group) and 11 age- and gender-matched normal control subjects (control group).Results:(1) All 15 patients with symptomatic NIID were with abnormal electrophysiological findings: 14 patients had abnormal peripheral nerve conduction, including 14 with slowed motor nerve conduction velocity (MCV), 4 with reduced composite muscle action potential (cMAP) wave amplitude, 12 with slowed sensory nerve conduction velocity (SCV), and 3 with reduced sensory nerve action potential (sNAP) wave amplitude, and overall slowed nerve conduction velocity and relatively preserved wave amplitude were noted; 4 patients had neurogenic lesions by needle electromyography; 13 patients had prolonged F-wave latency at varied degrees; 12 showed abnormal SSR; 4 exhibited synchronous tremor from 4.0 to 7.5 Hz. (2) In 5 patients with asymptomatic NIID, 3 had abnormal peripheral nerve conduction, including 3 with slowed MCV, 2 with slowed SCV, and 1 with reduced sNAP wave amplitude; 3 showed abnormal SSR. (3) Significant differences in MCV and SCV, some cMAP and sNAP amplitudes, and SSR latency and amplitude were noted in nerves of the upper and lower extremities between the symptomatic NIID group and control group ( P<0.05). Conclusion:Peripheral nerve damages are common in patients with NIID, especially myelin damage and autonomic nerve injury, and some patients may have electrophysiological abnormalities before clinical symptoms; therefore, peripheral nerve conduction and SSR can be recommended as auxiliary screening tools for NIID.
9.Effects of interpregnancy interval on pregnancy outcomes of subsequent pregnancy: a multicenter retrospective study
Juan JUAN ; Huixia YANG ; Yumei WEI ; Geng SONG ; Rina SU ; Xu CHEN ; Qiuhong YANG ; Jianying YAN ; Mei XIAO ; Ying LI ; Shihong CUI ; Yali HU ; Xianlan ZHAO ; Shangrong FAN ; Ling FENG ; Meihua ZHANG ; Yuyan MA ; Zishan YOU ; Haixia MENG ; Haiwei LIU ; Ying ZHU ; Chunfeng WU ; Yan CAI ; Kejia HU ; Hongjuan DING
Chinese Journal of Obstetrics and Gynecology 2021;56(3):161-170
Objective:To explore the effects of interpregnancy interval (IPI) on pregnancy outcomes of subsequent pregnancy.Methods:A multicenter retrospective study was conducted in 21 hospitals in China. Information of age, height, pre-pregnancy weight, IPI, history of diseases, complications of pregnancy, gestational age of delivery, delivery mode, and pregnancy outcomes of the participants were collected by consulting medical records of pregnant women who had two consecutive deliveries in the same hospital during 2011 to 2018. The participants were divided into 4 groups according to IPI:<18 months, 18-23 months, 24-59 months and ≥60 months. According to the WHO′s recommendation, with the IPI of 24-59 months group as a reference, to the effects of IPI on pregnancy outcomes of subsequent pregnancy were analyzed. Stratified analysis was further carried out based on age, history of gestational diabetes mellitus (GDM), macrosomia, and premature delivery, to explore the differences in the effects of IPI on pregnancy outcomes among women with different characteristics.Results:A total of 8 026 women were included in this study. There were 423, 623, 5 512 and 1 468 participants in <18 months group, 18-23 months group, 24-59 months group and ≥60 months group, respectively. (1) The age, pre-pregnancy body mass index (BMI), history of cesarean section, GDM, gestational hypertension and cesarean section delivery rate of <18 months group, 18-23 months group, 24-59 months group and ≥60 months group were gradually increased, and the differences were statistically significant ( P<0.05). (2) After adjusting for potential confounding factors, compared with women in the IPI of 24-59 months group, the risk of premature delivery, premature rupture of membranes, and oligohydramnios were increased by 42% ( OR=1.42, 95% CI: 1.07-1.88, P=0.015), 46% ( OR=1.46, 95% CI: 1.13-1.88, P=0.004), and 64% ( OR=1.64, 95% CI: 1.13-2.38, P=0.009) respectively for women in the IPI≥60 months group. No effects of IPI on other pregnancy outcomes were found in this study ( P>0.05). (3) After stratified by age and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of oligohydramnios for women with advanced age ( OR=2.87, 95% CI: 1.41-5.83, P=0.004); and <18 months could increase the risk of premature rupture of membranes for women under the age of 35 ( OR=1.59, 95% CI: 1.04-2.43, P=0.032). Both the risk of premature rupture of membranes ( OR=1.58, 95% CI: 1.18-2.13, P=0.002) and premature delivery ( OR=1.52, 95% CI: 1.07-2.17, P=0.020) were significantly increased in the IPI≥60 months group. After stratified by history of GDM and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would lead to an increased risk of postpartum hemorrhage for women with a history of GDM ( OR=5.34, 95% CI: 1.45-19.70, P=0.012) and an increased risk of premature rupture of membranes for women without a history of GDM ( OR=1.44, 95% CI: 1.10-1.90, P=0.009). After stratified by history of macrosomia and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months could increase the proportion of cesarean section for women with a history of macrosomia ( OR=4.11, 95% CI: 1.18-14.27, P=0.026) and the risk of premature rupture of membranes for women without a history of macrosomia ( OR=1.46, 95% CI: 1.12-1.89, P=0.005). After stratified by history of premature delivery and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of premature rupture of membranes for women without a history of premature delivery ( OR=1.47, 95% CI: 1.13-1.92, P=0.004). Conclusions:Both IPI≥60 months and <18 months would increase the risk of adverse pregnancy outcomes in the subsequent pregnancy. Healthcare education and consultation should be conducted for women of reproductive age to maintain an appropriate IPI when they plan to pregnant again, to reduce the risk of adverse pregnancy outcomes in the subsequent pregnancy.
10.β-lactam antibiotics detection using microcolumn gel technology
Xiaona LI ; Chengming MA ; Jing CHEN ; Junli ZHAO ; Yiran ZHAO ; Meng GUO ; Hongjuan PAN ; Juyou LIANG ; Qiaoling XING ; Jing GUO ; Xutong LI
Chinese Journal of Blood Transfusion 2021;34(12):1296-1299
【Objective】 To develop an assay to determine β-lactam antibiotics using microcolumn gels and to study the β-lactam antibiotics present in the blood of patients and their clinical significances. 【Methods】 446 patients with a history of taking β-lactam antibiotics from January 2019 to June 2019 were randomly selected from Trauma Emergency Center, Department of Arthrosis, Department of Spine and Department of Bone Oncology of our hospital, and 4 mL(per capita) venous blood was collected. Irregular antibody screening, anti-globulin detection and drug antibody determination were performed by microcolumn gel method. The data of gender, age, disease, blood transfusion history and medication were collected. The test results and clinical data were retrospective analyzed. 【Results】 The yielding rate of antibody was 0.45%(2/446) in patients with a history of taking β -lactam antibiotics. 16.38%(73/446) of the samples were positive in direct antiglobulin test, and 64.38%(47/73) of them did not agglutinate with RBCs treated with drugs. The yielding rate of specific antibodies against drug was 4.93%(22/446), and the titer ranged from 2 to 128(8). 1 case of auto-IgM antibody, 1 case of blood group related antibody and 2 cases of non-specific protein adsorption were detected. The yielding rate of drug antibody in patients with blood transfusion history reached to 12.10 %(22/124), so it was also high in patients with bone tumor. 【Conclusion】 Direct antiglobulin assay is helpful for the detection of β-lactam antibodies. The negative results of antibody screening cannot completely exclude the presence of drug antibodies. The yielding rate of drug antibody can be greatly improved by specific drug antibody detection, and it was higher in transfused patients relative to non-transfused one.


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