1.Optical brain-computer interface: technological advances, clinical translation, and future perspectives
Ang XUAN ; Yuanjie GU ; Yiqun WANG ; Biqin DONG
Chinese Journal of Clinical Medicine 2026;33(2):193-202
Optical brain-computer interface (OBCI) represents an emerging class of neural interaction technologies that use “light” as an information carrier to enable the acquisition, decoding, and modulation of neural signals. Compared with conventional electrical brain-computer interface (BCI), OBCI demonstrates distinct advantages in spatial resolution, cell-type specificity, and the capacity for simultaneous multiparametric monitoring. Driven by rapid advances in functional near-infrared spectroscopy, optical neuroimaging, and optogenetics, optical approaches have progressively extended across the full “read, decode, write” continuum of neural activity, providing a novel technological framework for the development of high-precision closed-loop brain-computer systems. This review systematically summarizes the principal technological strategies and recent advances in OBCI, and further discusses the key challenges encountered during clinical translation, as well as future development direction.
2.Analysis of the association between the use of oral progesterone drugs in early pregnancy and gestational diabetes mellitus
Yan QIN ; Jinhua GU ; Jing ZHU ; Lin LUO ; Peng PING ; Lingqi GU
China Pharmacy 2025;36(6):721-726
OBJECTIVE To explore the association between the use of oral progesterone drugs in early pregnancy and gestational diabetes mellitus (GDM). METHODS Through real-world retrospective cohort research method, pregnant women who underwent the oral glucose tolerance test (OGTT) at the Affiliated Maternal and Child Health Hospital of Nantong University between January 2022 and January 2023 were enrolled. Based on whether oral progesterone drugs were used in early pregnancy, they were divided into treatment group and control group; propensity score matching (PSM) with a 1∶1 ratio was employed to control for confounding factors; Logistic regression and linear regression were employed to analyze the association between drug factors (whether use of oral progesterone drug, duration of medication, dosage, and drug type) and outcome indicators (occurrence of GDM, fasting blood glucose levels, and OGTT 1 and 2 h blood glucose levels in late pregnancy). RESULTS A total of 709 pregnant women were enrolled in the two groups before PSM; after PSM, 256 cases were included in both the treatment group and the control group. The results of association analysis indicated that there was no significant association between the use of oral progesterone drugs and GDM (P>0.05); but a significant correlation was found with OGTT 1 h blood glucose levels [β=0.965, 95%CI (0.007,1.922), P<0.05], specifically with Dydrogesterone tablets [β=0.977, 95%CI (0.009, 1.944), P<0.05] and Progesterone soft capsules [β =1.089, 95%CI (0.077, 2.102), P<0.05]. There was no significant correlation between other drug factors and outcome indicators (P>0.05). CONCLUSIONS The use of oral progestogen drugs in early pregnancy is not significantly associated with GDM. The blood glucose levels in late pregnancy, especially OGTT 1 h blood glucose levels, have a certain correlation with Progesterone soft capsules and Dydrogesterone tablets.
3.Atomic Force Microscopy Pulling Reveals the Conformation of Metalloproteinase ADAMTS13
Huiting GU ; Junxian YANG ; Jinhua FANG ; Jianhua WU ; Jiangguo LIN
Journal of Medical Biomechanics 2025;40(2):441-448
Objective To investigate the conformational states of ADAMTS13 under different pH conditions.Methods Atomic force microscopy(AFM)was applied to pull ADAMTS13 molecules with two distinct pulling systems:the Biotin-Streptavidin system and the 6×His-Anti-His antibody system.The rupture forces and molecular contour lengths were analyzed.Results Under pH 7.4 condition,when ADAMTS13 was pulled by Biotin-Streptavidin system,the mean molecular contour length was(30.93±1.56)nm,exhibiting a bimodal frequency distribution with peak positions at(22.12±0.01)and(49.57±0.05)nm.When ADAMTS13 was pulled using 6×Hist-anti-His antibody system,the mean molecular contour length was(32.77±0.72)nm,also showing a bimodal distribution,with a peak position at(25.73±0.16)and(43.84±0.63)nm,respectively.Under pH 6.0 condition,when ADAMTS13 was pulled by Biotin-Streptavidin system,the mean molecular contour length increased to(47.07±1.6)nm,and the frequency distribution shifted to trimodal,with peak positions at(22±1.25),(55.09±2.62)and(76.69±3.06)nm.The conformation of ADAMTS13 was more extended at pH 6.0 compared with that at pH 7.4.Conclusions ADAMTS13 exists in'closed'and intermediate conformational states at physiological pH 7.4.However,at pH 6.0,ADAMTS13 can adopt'closed',intermediate,and'open'conformational states.This study contributes to a further understanding of the role of ADAMTS13 in normal physiology and thrombotic thrombocytopenic purpura,providing insights for the development of novel recombination ADAMTS13 drugs.
4.Case study on integrated traditional chinese and western medicine for treatment of orbital foreign body caused by ocular trauma
Zhenzhen GU ; Jinhua LUO ; Like XIE ; Xiaofeng HAO ; Xi CHEN
Journal of Clinical Medicine in Practice 2025;29(15):146-148
Ocular trauma is a leading cause of permanent visual impairment and loss of working a-bility.Among them,orbital foreign body injuries are often accompanied by multiple injuries to the eye-ball and surrounding tissues,adversely affecting the quality of life.This paper reported a 33-year-old male patient with right orbital foreign body resulting in eyeball contusion,extraocular muscle injury,and restricted ocular movement.After surgical removal of the foreign body combined with integrated traditional Chinese and western medicine treatment,the patient's visual acuity improved from 0.4 to 0.8,and ocular motility function significantly improved.This suggests that comprehensive treatment contributes to promoting functional recovery and enhancing clinical efficacy.
5.Negative mental and behavior problems in children with short stature and their relationship with family function and quality of life
Xiaoxiao ZHANG ; Jinhua ZHOU ; Min GU
Journal of Public Health and Preventive Medicine 2025;36(6):167-170
Objective To investigate negative mental and behavior problems in children with short stature and analyze their relationship with family function and quality of life. Methods A total of 347 cases of children with dwarfism received from 358 cases in Chengdu Jingjiang Hospital for Women and Children Health from January 2019 to December 2023 were selected as the dwarfism group were included in this study. The two groups were compared on negative mental and behavior problems [Mental Health Scale for Child and Adolescent (MHS-CA)], family function [Family Adaptability and Cohesion Evaluation Scale II-Chinese Version (FACES II-CV)] and quality of Life [Pediatric Quality of Life Inventory 4.0 (PedQL4.0)]. Correlation analysis was performed. Results MHS-CA scores, FACES II-CV scores and PedQL4.0 scores of the short stature group were lower than those of the control group (P<0.05). With MHS-CA score ≤ 57 as the critical value, 347 children with short stature were divided into healthy state group (256 cases) and unhealthy state group (91 cases). FACES II-CV scores and PedsQL4.0 scores of children in unhealthy state were lower than those of children in healthy state (P<0.05). Pearson correlation analysis found that mental health problems were positively correlated with family function and quality of life in children with short stature (r=0.217, 0.386, both P=0.000). Conclusion Mental health problems in children with short stature are significantly positively correlated with family function and quality of life.
6.Efficacy and safety of upadacitinib through 140 weeks in Chinese adult and adolescent patients with moderate-to-severe atopic dermatitis: Post hoc analysis of the phase 3 Measure Up 1 and AD Up clinical trials.
Li ZHANG ; Jinhua XU ; Chaoying GU ; Min ZHENG ; Meng PAN ; Linfeng LI ; Michael LANE ; Andrew PLATT ; Shereen HAMMAD ; Qichen FAN ; Xinghua GAO
Chinese Medical Journal 2025;138(13):1633-1634
7.Research advance on the role of gut microbiota and its metabolites in juvenile idiopathic arthritis.
Ao-Hui PENG ; You-Jia CHEN ; Jin-Xuan GU ; Zhi-Gang JIN ; Xu-Bo QIAN
Acta Physiologica Sinica 2025;77(3):587-601
Juvenile idiopathic arthritis (JIA) is the most common condition of chronic rheumatic disease in children. JIA is an autoimmune or autoinflammatory disease, with unclear mechanism and limited treatment efficacy. Recent studies have found a number of alterations in gut microbiota and its metabolites in children with JIA, which are related to the development and progression of JIA. This review focuses on the influence of the gut microbiota and its metabolites on immune function and the intestinal mucosal barrier and discuss the key role of the gut-joint axis in the pathogenesis of JIA and emerging treatment methods based on gut microbiota and its metabolites. This review could help elucidate the pathogenesis of JIA and identify the potential therapeutic targets for the prevention and treatment of JIA.
Humans
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Arthritis, Juvenile/physiopathology*
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Gastrointestinal Microbiome/physiology*
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Child
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Intestinal Mucosa
8.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.
9.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.
10.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.


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