1.From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology
Kun FANG ; Guozhuang LI ; Linting WANG ; Qing LI ; Kexin XU ; Lina ZHAO ; Zhihong WU ; Jianguo ZHANG ; Nan WU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):223-229
Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.
2.TGF-β1-engineered Biomimetic Platelet Nanoparticles for Targeted Therapy of Ischemic Stroke
Li-Qi CHEN ; Tian-Fang KANG ; Guo-Jun HUANG ; Ting YIN ; Ai-Qing MA ; Lin-Tao CAI ; Hong PAN
Progress in Biochemistry and Biophysics 2026;53(3):697-710
ObjectivePost-ischemic acute inflammation and the subsequent persistent dysregulation of the immune microenvironment represent major pathological drivers that aggravate neuronal injury and severely restrict functional recovery following ischemic stroke. Although current reperfusion therapies partially restore blood flow, they fail to effectively modulate the secondary inflammatory cascade and oxidative stress, which remain critical barriers to neurological restoration. To address this challenge, this study aimed to engineer and systematically evaluate a biomimetic nanosystem composed of transforming growth factor-β1 (TGF-β1)-loaded platelet membrane-camouflaged lipid nanoparticles (PLP). This nanosystem was designed to achieve dual lesion-targeted delivery and immune microenvironment remodeling. By verifying its spatiotemporal accumulation, anti-inflammatory activity, and neuroprotective efficacy, we sought to establish an integrated therapeutic strategy that simultaneously enables lesion targeting, immune regulation, and functional recovery after ischemic injury. MethodsThe physicochemical properties of PLP, including hydrodynamic particle size, zeta potential, structural stability, and morphology, were characterized using dynamic light scattering, zeta potential analysis, and transmission electron microscopy. The preservation of platelet membrane-derived adhesion and immunoregulatory proteins was confirmed by SDS-PAGE through comparative analysis of protein band profiles between PLP and native platelet membranes. The in vitro biological activities of PLP were evaluated using two complementary cellular models. LPS-induced M1-polarized RAW264.7 macrophages were employed to assess inflammatory modulation, while oxygen glucose deprivation/reperfusion (OGD/R)-induced BV2 microglial cells and SH-SY5Y neuronal cells were utilized to investigate neuroinflammatory regulation and neuronal protection. For in vivo validation, a transient middle cerebral artery occlusion (tMCAO) mouse model was established to mimic ischemia-reperfusion injury. The spatiotemporal biodistribution and lesion-targeting capability of the PLP were monitored through live fluorescence imaging. Therapeutic efficacy was comprehensively evaluated by triphenyltetrazolium chloride (TTC) staining, glial fibrillary acidic protein (GFAP) immunofluorescence analysis, body weight monitoring, and neurological severity score (NSS) assessment. ResultsPLP nanoparticles displayed a uniform spherical morphology, nanoscale particle size distribution, and stable negative surface charge, indicating favorable colloidal stability and circulation potential. SDS-PAGE results confirmed the effective retention of key platelet membrane proteins associated with endothelial adhesion, immune evasion, and inflammatory regulation, demonstrating the successful biomimetic construction. Optimal therapeutic concentrations were determined in OGD/R-induced BV2 cells, where PLP exhibited excellent cytocompatibility and anti-inflammatory activity.In vitro experiments demonstrated that PLP significantly inhibited the polarization of RAW264.7 macrophages toward the pro-inflammatory M1 phenotype and markedly reduced neuronal apoptosis under ischemia-reperfusion conditions. In vivo fluorescence imaging revealed that PLP rapidly accumulated in the ischemic brain hemisphere and maintained prolonged retention for up to 7 d, suggesting enhanced lesion-specific targeting and sustained drug release. Compared with control group, PLP treatment significantly reduced cerebral infarct volume, attenuated reactive astrogliosis, improved weight recovery, and accelerated neurological functional restoration, as reflected by significantly improved NSS scores. ConclusionThis study establishes a multifunctional biomimetic nanoplatform that integrates platelet membrane-mediated active targeting with the anti-inflammatory, antioxidative, and neuroprotective properties of TGF-β1. The PLP system enables rapid lesion homing and long-term retention while synergistically regulating the post-stroke inflammatory microenvironment by suppressing pro-inflammatory immune activation, reducing neuronal apoptosis, and limiting excessive astrocyte reactivity. Importantly, this study proposes a conceptually therapeutic paradigm that combines targeted delivery with immune microenvironment remodeling to achieve comprehensive neurovascular protection. These findings provide strong experimental evidence supporting the translational potential of biomimetic nanotherapeutics as next-generation precision interventions for ischemic stroke.
3.Analysis of anti-TP detection and co-infection among blood donors in Hefei area
Feifei JIANG ; Suping LI ; Qing HE ; Ye FANG ; Mingrui LI ; Panpan WANG
Chinese Journal of Blood Transfusion 2026;39(5):629-635
Objective: To analyze the status of Treponema pallidum (TP) infection among blood donors in Hefei area by evaluating anti-TP reactive donors, and to provide data support for blood screening strategies, evaluation of reagent application, and public health prevention and control strategies. Methods: TPPA confirmation test were performed on 338 anti-TP positive samples of voluntary blood donors at Anhui Blood Center from February to April 2022, July to October 2022, February to June 2023. RPR tests were conducted on samples positive for TPPA. The test results, co-reactivity of TP with HBV, HCV, and HIV, and demographic characteristics of the donors were statistically analyzed. Results: The unqualified rate of anti-TP among blood donors in Hefei area was 0.30% (405/133 587), and the positive rate for TPPA was 67.46% (228/338). Among the TPPA-positive donors, 31.67% were RPR-positive. The co-positive rates of HBV, HCV and HIV in anti-TP reactive blood donors were 0.74% (3/405), 0.49% (2/405), and 1.73% (7/405), respectively, with HIV copositivity being the most common. Most co-positive donors were males aged 31-50 years with a high school education or lower, and all were first-time whole blood donors. Conclusion: The anti-TP unqualified rate among blood donors in Hefei area is at a low-to-mederate level. HIV is the most common co-infection with TP among anti-TP positive donors. The majority of co-infected donors are middle-aged men donating whole blood for the first time.
4.Effect of Electroacupuncture on Metabolism-Inflammation Network in Patients with Simple Obesity:A Randomized Controlled Trial
Qi SHU ; Qiumei PENG ; Zhihao XU ; Shanshan FANG ; Wenjing SHAO ; Hongliang CHENG ; Rilong HUANG ; Qing YU ; Ronglin CAI
Journal of Traditional Chinese Medicine 2026;67(13):1415-1421
ObjectiveTo observe the clinical efficacy of electroacupuncture in treatment of simple obesity patients and its effects on the metabolism-inflammation network. MethodsSeventy-two patients with simple obesity were randomly divided into a electroacupuncture group and a sham electroacupuncture group, with 36 patients in each group. In the electroacupuncture group, conventional acupuncture was applied at Zhongwan (CV 12), bilateral Tianshu (ST 25), bilateral Daheng (SP15), Qihai (CV 6), Guanyuan (CV 4), bilateral Zusanli (ST 36) and Fenglong (ST 40). The sham electroacupuncture group used placebo needle at same acupoints as the electroacupuncture group. Both groups were given sparse-dense waves with a frequency of 2/10 Hz, 30 minutes per session, 3 times a week, for a total of 8 weeks of treatment. The changes of human body parameters including body weight, body mass index (BMI), waist circumference, and body fat percentage (BFP), metabolic factors including serum fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL), leptin, and ghrelin, and inflammatory factors including interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) were compared before and after treatment. Correlations between changes in leptin, ghrelin and inflammatory factors were further analyzed. ResultsWaist circumference was significantly reduced after treatment in both groups compared with baseline (P<0.05), and the post-treatment waist circumference was lower in the electroacupuncture group than in the sham electroacupuncture group (P<0.05); body weight, BMI and BFP decreased significantly after treatment compared to pretreatment levels in the electroacupuncture group (P<0.05). Serum leptin, IL-6 and TNF-α declined significantly after treatment in both groups versus baseline (P<0.05); the electroacupuncture group had lower post-treatment levels of leptin, IL-6 and TNF-α as well as larger pre-post changes than the sham group (P<0.05); ghrelin increased markedly after treatment in both groups (P<0.05), with higher post-treatment ghrelin and greater pre-post variation observed in the electroacupuncture group (P<0.05). In the electroacupuncture group, changes in ghrelin were negatively correlated with IL-6 and positively correlated with TNF-α (P<0.01); in the sham electroacupuncture group, ghrelin changes were negatively correlated with both IL-6 and TNF-α, whereas leptin changes were positively correlated with the two inflammatory markers (P<0.01). ConclusionElectroacupuncture can effectively improve clinical manifestations, as well as regulate serum metabolic and pro-inflammatory factors in patients with simple obesity, and discrepant correlation patterns of metabolism-inflammation are observed between the two groups.
5.Correlation of serum SIK2 and RANKL expression levels with osteoporosis in perimenopausal women
Yu LIU ; Qing LIU ; Hongxia FU ; Fang WANG
Chinese Journal of Endocrine Surgery 2025;19(4):569-573
Objective:To analyze the correlation of serum salt-induced kinase 2 (SIK2) and receptor activator of nuclear factor κB ligand (RANKL) expression levels with osteoporosis in perimenopausal women.Methods:A total of 500 perimenopausal women admitted to the Second Hospital of Tianjin Medical University from Jan. 2023 to Jun. 2023 were studied and separated into osteoporosis group and non-osteoporosis group according to with or without osteoporosis. The general data, serum SIK2 and RANKL expression levels and bone metabolism indexes [type I collagen carboxy peptide (CTX), procollagen I N-Terminal propeptide (PINP), and osteocalcin of N-MID-Osteocalcin (N-MID-OT) ] were compared between the two groups. The correlation of the expression levels of serum SIK2 and RANKL with bone metabolism indexes was analyzed by Pearson correlation; The risk factors of osteoporosis in perimenopausal women were analyzed by Logistic multi-factor model. Results:Of the 500 patients, 88 had osteoporosis (17.6%) ; The serum levels of SIK2 and RANKL, CTX, PINP and N-MID-OT in osteoporosis group were significantly higher than those in non-osteoporosis group ( t=7.53, 13.11, 19.69, 28.79, 26.14, P<0.05). Pearson correlation analysis showed that serum SIK2 and RANKL levels were significantly positively correlated with all indexes of bone metabolism ( r=0.541, 0.480, 0.447; r=0.369, 0.516, 0.482, P<0.05). Logistic regression analysis showed that the number of births, diabetes, SIK2, RANKL and bone metabolism were the factors affecting the incidence of osteoporosis in perimenopausal women ( OR=2.123, 2.243, 3.083, 4.773, 3.789, 2.927, 2.633, P<0.05) . Conclusions:SIK2 and RANKL may be involved in the pathogenesis of osteoporosis by promoting bone turnover imbalance. Together with fertility times, diabetes mellitus and bone metabolism indexes, SIK2 and RANKL are all factors in the development of osteoporosis in perimenopausal women.
6.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
7.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
8.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 ; 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 WEN ; 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(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
9.Research progress on health information-seeking behavior of patients with chronic diseases
Xia QING ; Xueshuang CHEN ; Fengwang XUE ; Qingmei FANG ; Shengmin GUO
Chinese Journal of Modern Nursing 2025;31(9):1127-1132
Chronic diseases have become one of the major threats to human health. Health information-seeking behavior plays a positive role in effectively managing the health status of chronic disease patients and enhancing their self-management capabilities. This article summarizes the concept, assessment tools, current status, and influencing factors of health information-seeking behavior among chronic disease patients. It provides strategies and suggestions to offer references for developing intervention strategies for chronic disease patients' health information-seeking behavior.
10.Risk factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn and its predictive value
Qing-wei CUI ; Pan ZHANG ; Meng-meng ZHUANG ; Fang ZHANG ; Wei-wei WANG ; Ting-ting MA
Journal of Regional Anatomy and Operative Surgery 2025;34(10):881-885
Objective To analyze the risk factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn and its predictive efficiency.Methods A total of 100 patients with extensive deep burn who underwent Meek skin grafting from August 2018 to November 2024 were selected,and they were divided into the normal group(n=79)and the delayed group(n=21)according to the wound healing time.The clinical data of all patients were collected,and the influencing factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn were analyzed by Logistic regression model,and the efficiency of the model was analyzed by the receiver operating characteristic(ROC)curve and the Hosmer-Lemeshow goodness-of-fit test,respectively.Results There were statistically significant differences in the body mass index,hospitalization time,burn index,burn area,donor skin area,number of postoperative dressing change,postoperative nutritional support,postoperative pain scores,and hospitalized blood glucose levels between the two groups(P<0.05).Logistic regression analysis showed that high burn index(OR=1.086,β=0.082),large burn area(OR=1.155,β=0.144),fewer postoperative dressing change(OR=0.746,β=-0.293),lack of postoperative nutritional support(OR=6.439,β=1.862),high postoperative pain score(OR=4.483,β=1.500),and high level of hospitalized blood glucose(OR=2.251,β=0.811)were the influencing factors for delayed wound recovery after Meek skin grafting in patients with extensive deep burn(P<0.05).The ROC curve revealed that the combined prediction of the above six influencing factors for delayed postoperative wound recovery had an area under the ROC curve(AUC)of 0.896,with a sensitivity and specificity of 88.00%and 89.10%,respectively;and the Hosmer-Lemeshow test result showed:χ2=10.641,and P=0.223,indicating a high predictive efficacy and a certain calibration ability of the model.Conclusion The high burn index,large burn area,fewer postoperative dressing change,lack of postoperative nutritional support,high postoperative pain score and hospitalized blood glucose level were the influencing factors for delayed wound recovery after Meek skin grafting in patients with extensive deep burn,and the prediction model constructed by the above factors has good predictive ability,which can provide a reference for clinical treatment.

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