1.Ilizarov bone transport combined with antibiotic bone cement promotes junction healing of large tibial bone defect
Zhibo ZHANG ; Zhaolin WANG ; Zhigang WANG ; Peng LI ; Jianhao JIANG ; Kai ZHANG ; Shuye YANG ; Gangqiang DU
Chinese Journal of Tissue Engineering Research 2025;29(10):2038-2043
BACKGROUND:Ilizarov bone transport is very effective in the treatment of open large tibial bone defects,but there are still complications,among which the difficulty of junction healing is one of the difficult points in treatment. OBJECTIVE:To investigate the effect of Ilizarov bone transport combined with antibiotic bone cement on junction healing after operation of open large tibial bone defect. METHODS:Totally 51 patients with open large tibial bone defect(bone defect>4 cm)admitted to Binzhou Medical University Hospital from August 2010 to January 2022 were selected,of which 28 received Ilizarov bone transport alone(control group)and 23 received Ilizarov bone transport combined with antibiotic bone cement treatment(trial group).External fixation time,bone healing time,bone healing index,visual analog scale score during bone removal,bone defect limb function,junction healing and complications at the final follow-up were statistically compared between the two groups. RESULTS AND CONCLUSION:(1)All the 51 patients were followed up for a mean of(22.53±5.77)months.External fixation time,bone healing time,bone healing index,postoperative infection rate,and non-healing rate of junction were less in the trial group than those in the control group(P<0.05).There was no significant difference between the two groups in visual analog scale scores at 6 months after the second surgery and in the functional excellence and good rate of limb with bone defect at the final follow-up(P>0.05).(2)These findings indicate that compared with the Ilizarov bone transport alone,Ilizarov bone transport combined with antibiotic bone cement treatment can promote the healing of open tibial fracture junction and increase the rate of bone healing.
2.Effect Analysis of Different Interventions to Improve Neuroinflammation in The Treatment of Alzheimer’s Disease
Jiang-Hui SHAN ; Chao-Yang CHU ; Shi-Yu CHEN ; Zhi-Cheng LIN ; Yu-Yu ZHOU ; Tian-Yuan FANG ; Chu-Xia ZHANG ; Biao XIAO ; Kai XIE ; Qing-Juan WANG ; Zhi-Tao LIU ; Li-Ping LI
Progress in Biochemistry and Biophysics 2025;52(2):310-333
Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.
3.Safety of high-carbohydrate fluid diet 2 h versus overnight fasting before non-emergency endoscopic retrograde cholangiopancreatography: A single-blind, multicenter, randomized controlled trial
Wenbo MENG ; W. Joseph LEUNG ; Zhenyu WANG ; Qiyong LI ; Leida ZHANG ; Kai ZHANG ; Xuefeng WANG ; Meng WANG ; Qi WANG ; Yingmei SHAO ; Jijun ZHANG ; Ping YUE ; Lei ZHANG ; Kexiang ZHU ; Xiaoliang ZHU ; Hui ZHANG ; Senlin HOU ; Kailin CAI ; Hao SUN ; Ping XUE ; Wei LIU ; Haiping WANG ; Li ZHANG ; Songming DING ; Zhiqing YANG ; Ming ZHANG ; Hao WENG ; Qingyuan WU ; Bendong CHEN ; Tiemin JIANG ; Yingkai WANG ; Lichao ZHANG ; Ke WU ; Xue YANG ; Zilong WEN ; Chun LIU ; Long MIAO ; Zhengfeng WANG ; Jiajia LI ; Xiaowen YAN ; Fangzhao WANG ; Lingen ZHANG ; Mingzhen BAI ; Ningning MI ; Xianzhuo ZHANG ; Wence ZHOU ; Jinqiu YUAN ; Azumi SUZUKI ; Kiyohito TANAKA ; Jiankang LIU ; Ula NUR ; Elisabete WEIDERPASS ; Xun LI
Chinese Medical Journal 2024;137(12):1437-1446
Background::Although overnight fasting is recommended prior to endoscopic retrograde cholangiopancreatography (ERCP), the benefits and safety of high-carbohydrate fluid diet (CFD) intake 2 h before ERCP remain unclear. This study aimed to analyze whether high-CFD intake 2 h before ERCP can be safe and accelerate patients’ recovery.Methods::This prospective, multicenter, randomized controlled trial involved 15 tertiary ERCP centers. A total of 1330 patients were randomized into CFD group ( n = 665) and fasting group ( n = 665). The CFD group received 400 mL of maltodextrin orally 2 h before ERCP, while the control group abstained from food/water overnight (>6 h) before ERCP. All ERCP procedures were performed using deep sedation with intravenous propofol. The investigators were blinded but not the patients. The primary outcomes included postoperative fatigue and abdominal pain score, and the secondary outcomes included complications and changes in metabolic indicators. The outcomes were analyzed according to a modified intention-to-treat principle. Results::The post-ERCP fatigue scores were significantly lower at 4 h (4.1 ± 2.6 vs. 4.8 ± 2.8, t = 4.23, P <0.001) and 20 h (2.4 ± 2.1 vs. 3.4 ± 2.4, t= 7.94, P <0.001) in the CFD group, with least-squares mean differences of 0.48 (95% confidence interval [CI]: 0.26–0.71, P <0.001) and 0.76 (95% CI: 0.57–0.95, P <0.001), respectively. The 4-h pain scores (2.1 ± 1.7 vs. 2.2 ± 1.7, t = 2.60, P = 0.009, with a least-squares mean difference of 0.21 [95% CI: 0.05–0.37]) and positive urine ketone levels (7.7% [39/509] vs. 15.4% [82/533], χ2 = 15.13, P <0.001) were lower in the CFD group. The CFD group had significantly less cholangitis (2.1% [13/634] vs. 4.0% [26/658], χ2 = 3.99, P = 0.046) but not pancreatitis (5.5% [35/634] vs. 6.5% [43/658], χ2 = 0.59, P = 0.444). Subgroup analysis revealed that CFD reduced the incidence of complications in patients with native papilla (odds ratio [OR]: 0.61, 95% CI: 0.39–0.95, P = 0.028) in the multivariable models. Conclusion::Ingesting 400 mL of CFD 2 h before ERCP is safe, with a reduction in post-ERCP fatigue, abdominal pain, and cholangitis during recovery.Trail Registration::ClinicalTrials.gov, No. NCT03075280.
4.Exploring mechanism of Banxia Baizhu Tianma Decoction in intervening methamphetamine addiction from PI3K-Akt pathway and cell verification based on network pharmacology and cell verification
Han-Cheng LI ; Zhao JIANG ; Yang-Kai WU ; Jie-Yu LI ; Yi-Ling CHEN ; Ming ZENG ; Zhi-Xian MO
Chinese Pharmacological Bulletin 2024;40(10):1971-1978
Aim To investigate the mechanism of Banxia Baizhu Tianma Decoction(BBTD)in interfer-ing methamphetamine(MA)addiction using network pharmacology.Methods The mechanism of BBTD intervention in MA addiction was analyzed using net-work pharmacology,and MA-dependent SH-SY5Y cell model was further constructed to observe the effects of BBTD on cell model and PI3K-Akt pathway.Results A total of 88 active ingredients and 583 potential tar-gets of BBTD were screened.KEGG analysis showed that BBTD might intervene in MA addiction through PI3K-Akt,cAMP and other pathways.The molecular docking results showed that key active ingredients ex-hibited strong binding ability with core targets of PI3K-Akt pathway.In vitro experiments showed that MA-de-pendent model cells had shorter synapses,tended to be elliptical in morphology,had blurred cell boundaries,showed typical cell damage morphology,and had high intracellular expression of cAMP(P<0.01)and low expression of 5-HT(P<0.05).BBTD intervention could counteract the above morphology,cAMP,and 5-HT changes,suggesting that it had therapeutic effects on MA-dependent model cells.Western blot showed that MA modeling elevated the p-PI3K/PI3K(P<0.05)and p-Akt/Akt(P<0.01);BBTD inter-vention decreased their relative expression.Conclu-sions Gastrodin and other active ingredients in BBTD have therapeutic effects on MA addiction,and the mechanism may be related to regulation of PI3K-Akt pathway relevant targets.
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.Exploring the mechanism of Radix Angelica sinensis and Astragalus mongholicus extract therapy for radiationinduced myocardial fibrosis based on network pharmacology and experimental validation
Wen LI ; Hugang JIANG ; Xinqiang WANG ; Yingdong LI ; Kai LIU ; Xinke ZHAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(6):601-611
AIM:To explore the potential targets and mechanisms of Angelica sinensis and Astraga-lus membranaceus ultrafiltration(RAS-AM)in the treatment of radiation induced myocardial fibrosis(RIMF)through network pharmacology combined experimental validation.METHODS:Using the TC-MSP database TCM@TAIWAN The Taiwan Tradition-al Chinese Medicine Database and TCMID Tradition-al Chinese Medicine Database screen the compo-nents and targets of RAS-AM,and use the Swiss Target Prediction database for target prediction.Obtain RIMF disease targets from Gene Cards and OMIM databases,obtain intersection targets of dis-eases and drugs through Wayne's online tool,ob-tain protein interaction relationships(PPIs)through STRING database,and use Cytoscape 3.9.1 soft-ware to construct a visualized network topology di-agram of"drug component target disease".Con-duct GO and KEGG enrichment analysis on core tar-gets through the David database,and use the mi-crobiome platform for mapping.Experimental veri-fication:Sixty Wistar rats were randomly divided in-to a blank group,a model group,a positive drug group,a RAS-AM low-dose group,a RAS-AM medi-um dose group,and a RAS-AM high-dose group.A RIMF model was established using a 38Gy dose of radiation induction,and was administered orally for 4 weeks.The general condition of the rats was also observed.After blood and heart collection in rats,HE staining was used to observe the morpho-logical changes of myocardial tissue,and ELISA and Western blot methods were used to detect key tar-gets for network pharmacology prediction.RE-SULTS:Network pharmacology analysis revealed 34 active components and 705 targets of Angelica si-nensis and Astragalus membranaceus ultrafiltra-tion,with a total of 154 targets,with IL-6,VEGFA,MMP2,MMP9,and ACE as the top five core tar-gets;GO enrichment analysis screened a total of 153 entries,and KEGG enrichment had 25 path-ways.Experimental part:HE staining results showed that the degeneration and necrosis of myo-cardial cells improved in each medication group,the infiltration of inflammatory cells in the myocar-dial interstitium decreased,and the proliferation of fibrous connective tissue in the myocardial intersti-tium decreased.ELISA and Western blot results showed that compared with the normal group,the expression of IL-6,VEGFA,and MMP-9 in the mod-el group increased.Compared with the model groupthe expression of IL-6,VEGFA,and MMP-9 in each medication group decreased to varying de-grees,in a dose-dependent manner.CONCLUSION:RAS-AM may inhibit RIMF by downregulating core targets such as IL-6,VEGFA protein,MMP-9 pro-tein,and regulating inflammatory pathways,colla-gen degradation,and other processes.
7.Advance in research on EEG technology in non-suicidal self-injurious behaviour and suicidal ideation in de-pression
Yuhang HE ; Yun YI ; Hehua LI ; Fengchun WU ; Fan JIANG ; Kai WU ; Yuanyuan HUANG
Chinese Journal of Nervous and Mental Diseases 2024;50(9):560-564
Non-suicidal self-injury behavior and suicidal ideation are important risk factors for suicide attempts in patients with depression.At present,studies have found that there are obvious differences in electroencephalogram(EEG)characteristics between these two.Resting-state EEG analysis reveals that the absolute power of Gamma in specific electrode points is significantly increased in patients with depression accompanied by suicidal ideation.The Beta and Gamma activities of those with non-suicidal self-injury behavior changed.EEG microstate research shows that there are differences in microstates between those with non-suicidal self-injury behavior and those with suicidal ideation.Among them,short segments of microstate sequences have certain potential.In event-related potentials,these two show specific characteristics in components such as P3 wave and N2 wave.The amplitude of N2 wave in patients with depression accompanied by non-suicidal self-injury behavior is lower.Although there are few machine learning-related studies on EEG technology,it has shown certain application prospects.Therefore,this article will summarize the progress of EEG research related to the two,aiming to provide a basis for early prediction of suicide in depression.
8.Clinical value of immature granulocyte percentage in pre-dicting severity of acute appendicitis in children
Xin-Li ZHANG ; Kai-Jiang LI ; Pu-Yu ZHAO ; Liang ZHAO ; Bing LIANG ; Dong-Fang LU ; Yu-Cheng SHI
Chinese Journal of Current Advances in General Surgery 2024;27(7):533-537
Objective:To investigate the clinical value immature granulocyte percentage(IG%)and other inflammatory indicators in the severity of acute appendicitis.Methods:A total of 201 pediatric patients undergoing appendicitis surgery admitted to Zhoukou Central Hospital from June 2022 to August 2023 were included.Patients with pathologically confirmed actue appendici-tis were divided two subgroups:actue simple appendicitis(ASA)group and actue complicated ap-pendicitis(ACA)group,The variables that included IG%,white blood cell(WBC)count,absolute neutrophil count(ANC),absolute lymphocyte count(ALC),neutrophil to lymphocyte ratio(NLR),pro-calcitonin(PCT),C-reactive protein(CRP),platelet to lymphocyte(PLR)and other indexes were ana-lyzed between ASA and ACA group.The logistic regression model for diagnosis of ACA was es-tablished,and the diagostic value of this model and other inflammtory indicators for ACA was evaluated by receiver operating characteristic(ROC)curve analysis.Results:The levels of IG%,WBC,ANC,ALC,NLR,PCT and PLR were higher and the level of ALC was lower in ACA group than those in ASA group(all P<0.05).Logistic regression analysis showed that IG%,NLR and CRP were three diagnostic determinants of ACA(all P<0.05).The AUC of the established logistic model and IG%,NLR,CRP were 0.868,0.821,0.691 and 0.790(all P<0.001).The logistic model was vali-dated by independent cohorts,and the AUC was 0.872,the sensitivity was 90.0%and the speci-ficity was 75.6%.Conlusions:The IG%value can early indicator for pediatric ACA,and the es-tablished logistic regression model based on biomarkers including IG%,NLR and CRP has clinical value in diagnosing ACA in children.
9.Relationship between prognostic nutritional index and risk of functional dependence in maintenance hemodialysis patients
Ci SUN ; Kai SONG ; Shan JIANG ; Ying LU ; Peiran YIN ; Weiwei LI
Chinese Journal of Nephrology 2024;40(9):691-697
Objective:To evaluate the relationship between prognostic nutritional index (PNI) and risk of functional dependence in patients receiving maintenance hemodialysis (MHD).Methods:It was a cross-sectional survey study. The clinical data of MHD patients in the Second Affiliated Hospital of Soochow University from June to December 2023 were collected. The Katz and Lawton-Brody questionnaires were used to assess the functional status. The patients were divided into normal functional status group and functional dependence group, and the differences of the clinical data between the two groups were compared. Serum albumin and lymphocytes were used to determine PNI, and the patients were divided into four subgroups: Q1 group (PNI≤44.3), Q2 group (44.3
10.Predictive values of PNI,LMR and MELD for early lung infection after liver transplantation
Kai YANG ; Dingcong HOU ; Shaoxian DUAN ; Yi BI ; Yan XIE ; Li ZHANG ; Wentao JIANG
Tianjin Medical Journal 2024;52(10):1041-1045
Objective To explore risk factors of early lung infection after liver transplantation and to construct a prediction model of early lung infection after liver transplantation.Methods The clinical data of 269 patients who underwent orthotopic liver transplantation for the first time were retrospectively analyzed.Patients were divided into the infected group(n=97)and the non-infected group(n=172)according to whether pulmonary infection occurred within 30 days after operation.The preoperative general data,preoperative laboratory examination results,intraoperative and postoperative data of the patients were collected.Multivariate Logistic regression analysis were used to screen risk factors of pulmonary infection.Based on the results of multivariate analysis,the prediction model was constructed and the prediction efficiency of the model was evaluated.Results Univariate and multivariate Logistic regression analysis showed that preoperative PNI≤41.70(OR=1.972,95%CI:1.047-3.714,P=0.036),LMR≤1.52(OR=2.020,95%CI:1.102-3.705,P=0.023),MELD score>10.72(OR=1.985,95%CI:1.103-3.573,P=0.022),operative time>448.00 min(OR=2.676,95%CI:1.515-4.727,P=0.001)and intensive care unit(ICU)hospitalization time>4.0 days(OR=2.623,95%CI:1.335-5.154,P=0.005)were independent risk factors for early pulmonary infection after liver transplantation.The ROC area under the curve(AUC)of the prediction model based on the results of multivariate Logistic regression analysis was 0.768,the sensitivity was 80.41%and the specificity was 60.47%.Conclusion The prediction model based on PNI,LMR,MELD score,operation time and ICU hospitalization time can effectively predict the occurrence of early pulmonary infection after liver transplantation.

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