1.Preparation and Application of Polypyrrole Conductive Hydrogels in Biomedical Field
Kun-Yu REN ; Ru-Min FU ; Yu TIAN ; Xin-Chang KANG ; Lei ZHOU ; Guo-Xin TAN
Chinese Journal of Analytical Chemistry 2024;52(1):1-12
Hydrogel is a kind of material with high water content,good biocompatibility and extracellular matrix-like property,among which polypyrrole(PPy)conductive hydrogels have both physical characteristics and excellent conductivity of hydrogels themselves.Its conductivity can be used to detect electrical signals generated in biological systems and provide electrical stimulation to regulate the activities and functions of cells and tissues.These characteristics make it widely used in the biomedical field.The recent progress of PPy conductive hydrogels in biomedical field was reviewed in this paper.In terms of classification,according to the cross-linking mechanism of PPy and hydrogel matrix,the non-covalent cross-linked PPy conductive hydrogels and covalent cross-linked PPy conductive hydrogels were divided.The applications of PPy conductive hydrogels in the biomedical field(Skin damage repair,nerve repair,myocardial repair and flexible sensing,etc.)were mainly introduced,and the development trend and challenges of PPy conductive hydrogels in the biomedical field were discussed.
2.The Genetic Polymorphism and Structural Analysis of 47 Microhaplotypes in a Jiangsu Changshu Chinese Han Population
Kun-Peng PAN ; Yao-Sen FENG ; Wen-Shuai YU ; Zong-Wei LIU ; Yi-Ren YAO ; Jie ZHAO ; Ke-Lai KANG ; Chi ZHANG ; Le WANG ; Jian WU
Progress in Biochemistry and Biophysics 2024;51(2):423-434
ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (Ae) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.
3.Clinical characterization and prediction modeling of lung cancer patients with high energy metabolism
Jiang-Shan REN ; Jun-Mei JIA ; Ping SUN ; Mei PING ; Qiong-Qiong ZHANG ; Yan-Yan LIU ; He-Ping ZHAO ; Yan CHEN ; Dong-Wen RONG ; Kang WANG ; Hai-Le QIU ; Chen-An LIU ; Yu-Yu FAN ; De-Gang YU
Medical Journal of Chinese People's Liberation Army 2024;49(9):1004-1010
Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.
4.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.
5.Problems and countermeasures of industry-university-research cooperation in Liaoning Province
Yudong WU ; Ji WU ; Wei WU ; Xin LI ; Yu YI ; Yanming LIU ; Shuyin LI ; Yuting KANG ; Wenrui LU ; Weiyun CHEN ; Fu REN ; Kebin XU
Journal of Shenyang Medical College 2024;26(5):542-546
Industry-university-research cooperation is not only the core of technological innovation,but also an important way to enhance industrial competitiveness and achieve high-quality development.Industry-university-research cooperation in Liaoning Province has achieved significant results in promoting technological innovation and economic development,but there are still some problems and challenges.The main problems include insufficient depth of industry-university-research cooperation,scattered innovation resources,lack of long-term stable cooperation mechanisms,as well as talent loss and lack of high-quality innovative talents.Through systematically sorting out the existing models of industry-university-research cooperation,it proposes a series of targeted and operable countermeasures and suggestions.These measures and suggestions provide solid theoretical support for the healthy development of industry-university-research cooperation in Liaoning Province.
6.Research on legal regulations of deep integration of industry-university-research in Liaoning
Yudong WU ; Ji WU ; Wei WU ; Xin LI ; Yu YI ; Yanming LIU ; Shuyin LI ; Kebin XU ; Wenrui LU ; Fu REN ; Yuting KANG
Journal of Shenyang Medical College 2024;26(6):644-649
Objective:To study the situation of legal regulations for the integration of industry-university-research in Liaoning,improve the concept of legal regulation,optimize the legal regulation methods,so as to promote the deep integration of industry-university-research in Liaoning.Method:Problem-oriented approach was used,and the problems of the current legal regulations for the integration of industry-university-research in Liaoning were reviewed.Result:It was found that legal regulations for the deep integration of industry-university-research in Liaoning were not yet perfect,which was manifested in insufficient coverage of policies and regulations,relatively lagging update of regulations,and insufficient highlighting of local characteristics.Conclusion:In response to the above issues,it is proposed to use measures such as collaborative regulation,incentive regulation and moderate regulation to establish and improve the legal system of the integration of industry-university-research in Liaoning province.
7.Advances in Neoadjuvant Therapy for Cutaneous Melanoma
Donglin KANG ; Lianjun ZHAO ; Yu REN ; Xinyu SU ; Zhengyun ZOU
China Cancer 2024;33(12):1033-1041
Cutaneous melanoma is a malignant skin cancer with a poor prognosis.However,re-cent advances in immune checkpoint blockade and targeted therapy have significantly improved outcomes in advanced-stage resectable melanoma,which have made neoadjuvant therapy a viable option for melanoma patients.Currently,several relevant clinical trials on neoadjuvant therapy have achieved significant results.This paper reviews the recent advances in neoadjuvant therapy for cutaneous melanoma,focusing on the selection of neoadjuvant therapy,subsequent surgical considerations after neoadjuvant therapy,prognostic indicators,and baseline biomarkers.
8.Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome (version 2024)
Junyu WANG ; Hai JIN ; Danfeng ZHANG ; Rutong YU ; Mingkun YU ; Yijie MA ; Yue MA ; Ning WANG ; Chunhong WANG ; Chunhui WANG ; Qing WANG ; Xinyu WANG ; Xinjun WANG ; Hengli TIAN ; Xinhua TIAN ; Yijun BAO ; Hua FENG ; Wa DA ; Liquan LYU ; Haijun REN ; Jinfang LIU ; Guodong LIU ; Chunhui LIU ; Junwen GUAN ; Rongcai JIANG ; Yiming LI ; Lihong LI ; Zhenxing LI ; Jinglian LI ; Jun YANG ; Chaohua YANG ; Xiao BU ; Xuehai WU ; Li BIE ; Binghui QIU ; Yongming ZHANG ; Qingjiu ZHANG ; Bo ZHANG ; Xiangtong ZHANG ; Rongbin CHEN ; Chao LIN ; Hu JIN ; Weiming ZHENG ; Mingliang ZHAO ; Liang ZHAO ; Rong HU ; Jixin DUAN ; Jiemin YAO ; Hechun XIA ; Ye GU ; Tao QIAN ; Suokai QIAN ; Tao XU ; Guoyi GAO ; Xiaoping TANG ; Qibing HUANG ; Rong FU ; Jun KANG ; Guobiao LIANG ; Kaiwei HAN ; Zhenmin HAN ; Shuo HAN ; Jun PU ; Lijun HENG ; Junji WEI ; Lijun HOU
Chinese Journal of Trauma 2024;40(5):385-396
Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.
9.Study on release and antioxidant activity of quercetin after loaded by hot alkali hydrolysis modified UiO-66 material
Rui-miao CHANG ; Yan-yang ZHANG ; An-juan KANG ; Guang-bin ZHANG ; Yan-ping YU ; Jun-zhao REN ; An-jia CHEN ; Yong LI
Acta Pharmaceutica Sinica 2023;58(9):2802-2810
UiO-66 (University of Oslo 66) is a kind of promising material that can improve the release and bioavailability of poorly water-soluble bioactive compounds of traditional Chinese medicine. However, the loading of quercetin in raw UiO-66 was not ideal. In this study, UiO-66-BH (UiO-66-blend-heating) was obtained by heating UiO-66 and KOH solution following blended them. UiO-66-BH maintained the outline of octahedral structure of UiO-66 but with obvious rough and uneven pores on the surface. UiO-66-BH had good adsorption of quercetin with saturation adsorption was 138.92 mg·g-1, the adsorption process belonged to single molecular layer adsorption and was controlled by chemisorption. UiO-66-BH can control the release of quercetin in simulated gastrointestinal fluid, and the drug concentration was significantly higher than that of free quercetin after long-term release (36%
10.Application of Micro-flow Imaging in the Differentiation of Benign and Malignant Thyroid Nodules.
Qing SONG ; Lin-Li KANG ; Yu LAN ; Lin YAN ; Wen LI ; Ling REN ; Yu-Kun LUO
Acta Academiae Medicinae Sinicae 2022;44(1):40-44
Objective To evaluate the performance of micro-flow imaging(MFI)in the differential diagnosis of benign and malignant thyroid nodules. Methods Totally 50 patients with thyroid nodules examined by conventional ultrasound,MFI,and contrast-enhanced ultrasound and confirmed by histological or cytological pathology in the First Medical Center of Chinese PLA General Hospital from May to December in 2020 were enrolled in the study.The clinical data and ultrasound images were retrospectively analyzed.A binary logistic regression model was established to evaluate the performance of the model in predicting benign and malignant thyroid nodules. Results Logistic regression showed that composition and "S-W-C" sign were independent risk factors for predicting malignant thyroid nodule.The sensitivity,specificity,and Youden index of the logistic regression model were 73.33%,80.00%,and 0.53,respectively,and the area under receiver operating characteristic curve was 0.799(95%CI=0.662-0.899). Conclusion MFI facilitates the differential diagnosis of benign and malignant thyroid nodules and has the potential to be applied in the future.
Diagnosis, Differential
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Humans
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ROC Curve
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Retrospective Studies
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Thyroid Nodule/diagnostic imaging*
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Ultrasonography/methods*

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