1.Increased risk of osteoporotic pathological fractures associated with sterol esters:evidence from IEU-GWAS and FinnGen databases
Zengjie GAO ; Xiang PU ; Lailai LI ; Yihui CHAI ; Hua HUANG ; Yu QIN
Chinese Journal of Tissue Engineering Research 2026;30(5):1302-1310
BACKGROUND:Although previous studies have reported associations between lipids and the risk of osteoporotic pathological fractures,the specific causal relationships between lipid level and osteoporotic pathological fractures remain unclear.OBJECTIVE:To elucidate the causal relationship between lipids and osteoporotic pathological fractures using a two-sample bidirectional Mendelian randomization analysis.METHODS:The data for 178 lipid metabolites were obtained from the IEU-GWAS database(developed by the MRC Integrative Epidemiology Unit at the University of Bristol,UK,which provides extensive summary data from genome-wide association studies),while osteoporotic pathological fracture data(from 173 619 European participants)were acquired from the FinnGen database(constructed by the Finnish national gene research program,focusing on investigating relationships between genomics and health/disease in the Finnish population).Osteoporotic pathological fracture data were used as the outcome variable,with lipids serving as exposures,for the bidirectional Mendelian randomization study to evaluate the causal effects of different lipids on osteoporotic pathological fractures.The UK Biobank database was employed as a validation set by switching the outcome variable to verify the findings horizontally.RESULTS AND CONCLUSION:(1)The inverse variance weighted analysis indicated that each unit increase in sterol ester(27∶1/20∶2)levels was associated with a 25.55%increase in the risk of osteoporotic pathological fractures(odds ratio=1.256,95%confidence interval:1.001-1.575,P=0.049),suggesting a significant positive correlation between elevated sterol ester levels and increased fracture risk.Reverse Mendelian randomization analysis revealed a significant negative association between osteoporotic pathological fractures and three types of phosphatidylcholine.Horizontal validation yielded consistent results,confirming sterol ester as a risk factor for osteoporotic pathological fractures.(2)The results indicate that sterol ester is a risk factor for osteoporotic pathological fractures,while phosphatidylcholine serves as a protective factor.These findings strengthen the evidence supporting the effect of lipids on the risk of osteoporotic pathological fractures.Although the GWAS data used in this study were derived from European populations,given the broad commonality of human genetics,the results provide valuable reference significance for improving osteoporosis in Chinese populations through lipid regulation.
2.Increased risk of osteoporotic pathological fractures associated with sterol esters:evidence from IEU-GWAS and FinnGen databases
Zengjie GAO ; Xiang PU ; Lailai LI ; Yihui CHAI ; Hua HUANG ; Yu QIN
Chinese Journal of Tissue Engineering Research 2026;30(5):1302-1310
BACKGROUND:Although previous studies have reported associations between lipids and the risk of osteoporotic pathological fractures,the specific causal relationships between lipid level and osteoporotic pathological fractures remain unclear.OBJECTIVE:To elucidate the causal relationship between lipids and osteoporotic pathological fractures using a two-sample bidirectional Mendelian randomization analysis.METHODS:The data for 178 lipid metabolites were obtained from the IEU-GWAS database(developed by the MRC Integrative Epidemiology Unit at the University of Bristol,UK,which provides extensive summary data from genome-wide association studies),while osteoporotic pathological fracture data(from 173 619 European participants)were acquired from the FinnGen database(constructed by the Finnish national gene research program,focusing on investigating relationships between genomics and health/disease in the Finnish population).Osteoporotic pathological fracture data were used as the outcome variable,with lipids serving as exposures,for the bidirectional Mendelian randomization study to evaluate the causal effects of different lipids on osteoporotic pathological fractures.The UK Biobank database was employed as a validation set by switching the outcome variable to verify the findings horizontally.RESULTS AND CONCLUSION:(1)The inverse variance weighted analysis indicated that each unit increase in sterol ester(27∶1/20∶2)levels was associated with a 25.55%increase in the risk of osteoporotic pathological fractures(odds ratio=1.256,95%confidence interval:1.001-1.575,P=0.049),suggesting a significant positive correlation between elevated sterol ester levels and increased fracture risk.Reverse Mendelian randomization analysis revealed a significant negative association between osteoporotic pathological fractures and three types of phosphatidylcholine.Horizontal validation yielded consistent results,confirming sterol ester as a risk factor for osteoporotic pathological fractures.(2)The results indicate that sterol ester is a risk factor for osteoporotic pathological fractures,while phosphatidylcholine serves as a protective factor.These findings strengthen the evidence supporting the effect of lipids on the risk of osteoporotic pathological fractures.Although the GWAS data used in this study were derived from European populations,given the broad commonality of human genetics,the results provide valuable reference significance for improving osteoporosis in Chinese populations through lipid regulation.
3.Harnessing Machine Learning for Personalized Care of Patients With Idiopathic Sudden Sensorineural Hearing Loss: A Multicenter Cohort Study
Yen-Ting GUO ; Ching-Ting TAN ; Chen-Chi WU ; Chun-Ying WANG ; Chein-Yu HUANG ; Tzu-Hsiang YANG ; Ting-Yi LEE ; Ting-Hua YANG ; Tien-Chen LIU ; Pey-Yu CHEN ; Pei-Hsuan LIN
Clinical and Experimental Otorhinolaryngology 2026;19(2):194-204
Objectives:
. Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model.
Methods:
. This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds.
Results:
. A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols.
Conclusion
. The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.
4.Cloning, subcellular localization and expression analysis of SmIAA7 gene from Salvia miltiorrhiza
Yu-ying HUANG ; Ying CHEN ; Bao-wei WANG ; Fan-yuan GUAN ; Yu-yan ZHENG ; Jing FAN ; Jin-ling WANG ; Xiu-hua HU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2025;60(2):514-525
The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified
5.Study on secondary metabolites of Penicillium expansum GY618 and their tyrosinase inhibitory activities
Fei-yu YIN ; Sheng LIANG ; Qian-heng ZHU ; Feng-hua YUAN ; Hao HUANG ; Hui-ling WEN
Acta Pharmaceutica Sinica 2025;60(2):427-433
Twelve compounds were isolated from the rice fermentation extracts of
6.A preliminary exploration of influenza-like illness surveillance and influenza vaccination in Jing’an District of Shanghai, 2017‒2023
Ruijue HUA ; Lixue LYU ; Biao XU ; Jin HUANG ; Ping YU
Shanghai Journal of Preventive Medicine 2025;37(4):313-318
ObjectiveTo understand the surveillance of influenza-like illness (ILI) and influenza vaccination status in Jing’an District, Shanghai, and to provide a basis for optimizing influenza prevention and control strategies. MethodsThe sentinel surveillance data for ILI and virological surveillance data of influenza viruses in Jing’an District were collected from the Chinese influenza surveillance information system, and data for influenza vaccination were collected from Shanghai immunization information system from September 2017 to August 2023. Epidemiological characteristics of ILI, influenza etiology, and the temporal and population distributions of influenza vaccination were analyzed using descriptive epidemiological methods. ResultsILI as a percentage of total visit surveillance units (ILI%) reported by sentinel hospital was increased in Jing’an District of Shanghai from September 2017 to August 2023 (F=18.841, P=0.012). The peak of the influenza cases mainly appeared in winter-spring, but there were two peaks in winter-spring and summer from September 2019 to August 2020, from September 2020 to August 2021, and from September 2021 to August 2022. In particular, there were two peaks in winter-spring from September 2022 to August 2023, with a rebound during the descending process. The average positive rate of ILI was 21.64% (2 421/11 189) during the 6 years. There was a peak in winter-spring during every year with the exception of the period from September 2020 to August 2021. The dominant strains were B/Yamagata and A/H1N1 in winter-spring from September 2017 to August 2018. The dominant strain was A/H1N1 in winter-spring from September 2018 to August 2019 and from September 2022 to August 2023. The dominant strain was B/Victoria in winter-spring from September 2019 to August 2020 and from September 2021 to August 2022. Different subtype strains occurred alternately, and the dominant strains were A/H1N1 and A/H3N2 in recent years. The influenza vaccination coverage was 2.94% from September 2017 to August 2023, and the vaccination coverage was highest in young children. The vaccination coverage for females was higher than that for males (χ2=546.963, P<0.001), and the vaccination coverage for registered residents was higher compared to that for migrants (χ2=123.141, P<0.001). ConclusionILI% exhibits an upward trend in Jing’an District of Shanghai, and the dominant strain is A subtype. The influenza vaccination coverage is still low, which is insufficient to have an impact on the spread of influenza. It is recommended that the surveillance of ILI and variations of influenza virus strains should be improved continuously, and effective steps should be taken to promote influenza vaccination.
7.A nomogram prediction model of postoperative recurrence/metastasis of breast cancer based on the clinic-pathological-imaging combined model
Hao HUANG ; Li-hua ZHU ; Jing TANG ; Yong-jiang YU ; Zhu-hong CUI ; Jin LIU
Chinese Journal of Current Advances in General Surgery 2025;28(1):34-39
Objective:To investigate the clinical significance of constructing a nomogram based on a combined model of clinical-pathological-imaging data for predicting postoperative recurrence/metastasis of breast cancer.Meth-ods:A retrospective study was conducted on 194 breast cancer patients who were admitted to the department of breast and thyroid surgery from June 2019 to June 2022.unvariate and multivariate Logistic regression analyses were used to screen independent predictors of postoperative recurrence/metastasis of breast cancer,and a model was con-structed based on the independent predictors.Another 83 breast cancer patients from July 2022 to February 2023 were taken as the validation set to verify the model with the ratio of 7∶3(training set∶validation set).Results:The postopera-tive recurrence/metastasis rate of breast cancer was 29.90%.Ki-67 expression level ≥20%,tumor location in the inner upper quadrant and outer upper quadrant,lesion size ≥20 mm,multiple lesions,and BI-RADS grade of 5 were indepen-dent risk factors for postoperative recurrence/metastasis of breast cancer(P<0.05).PR positive expression was an inde-pendent protective factor for postoperative recurrence/metastasis of breast cancer(P<0.05).The diagnostic performance of the combined clinical-pathological-imaging model(AUC:0.900)was superior to that of the clinical-pathological pa-rameters(AUC:0.655)and the MRI parameter model(AUC:0.857).In its nomogram model constructed based on a com-bined clinical-pathological-imaging model to predict breast cancer recurrence/metastasis after surgery,the AUC in the training set was 0.900(95%CI:0.859~0.942)with good discrimination,the maximum Yoden value was 0.710,the sensi-tivity was 0.931,and the specificity was 0.779,and the AUC in the validation set was 0.820(95%C/:0.712~0.928),well differentiated,with a maximum Yoden value of 0.554,a sensitivity of 0.630,and a specificity of 0.914.The theoretical and actual values of the calibration curves of the two sets were in good agreement,and the decision curve indicated the net benefit of the breast cancer recurrence-metastasis prediction model after surgery,which showed good predictive ability.Conclusion:The nomogram constructed based on the combined model of clinical-pathological-imaging data has good predictive ability,accuracy,and clinical applicability,which is helpful for clinicians to evaluate the risk of postoperative re-currence/metastasis of breast cancer.
8.Quality inspection of ultrasound soft tissue cutting hemostatic equipment
Jing HUANG ; Qi-di SUN ; Ao-wen DUAN ; Li XU ; Heng-yu LONG ; Hai-jiang ZHU ; He-hua ZHANG
Chinese Medical Equipment Journal 2025;46(10):49-53
Objective To carry out quality inspection of the ultrasound soft tissue cutting hemostatic equipment to ensure its safety and effectiveness.Methods Five brands of ultrasound soft tissue cutting hemostatic equipment were selected and noted as test equipment A,test equipment B,test equipment C,test equipment D and test equipment E,which underwent quality inspection in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current based on YY/T 0644-2008 Ultrasonics-surgical systems—Measurement and declaration of the basic output characteristics,YY/T 1750-2020 Ultrasonic surgical equipmetn for soft tissue excision and hemostasia and GB 9706.1-2020 Medical electrical equipment—Part 1:General requirements for basic safety and essential performance.Results The test data of the five brands in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current met the technical requirements of YY/T 0644-2008,YY/T 1750-2020,GB 9706.1-2020.Conclusion The quality inspection of the ultrasound soft tissue cutting hemostatic equipment contributes to enhancing the accuracy and stability of the equipment and decreasing the risk during its clinical application.[Chinese Medical Equipment Journal,2025,46(10):49-53]
9.Study on mechanism of Jiawei Shaofu Zhuyu decoction in treatment of endometriosis fibrosis based on mitophagy
Can-can HUANG ; Wen-wen WAN ; Xiu-jia JI ; Bin YUE ; Yu-gui ZHANG ; Xiao-hua ZHANG ; Li LIANG ; Guo-lian CHEN ; Quan-sheng WU ; Hai-yan MAO
Chinese Pharmacological Bulletin 2025;41(6):1177-1185
Aim To explore the mechanism of Jiawei Shaofu Zhuyu decoction in antagonizing endometriosis fibrosis by regulating mitophagy.Methods After the animal model was constructed,the syndrome was evalu-ated by general condition,organ water content and ther-mal imaging.The curative effect was evaluated by the weight of ectopic focus and the degree of adhesion.The pathological changes were compared using HE stai-ning,transmission electron microscopy,Masson and Sir-ius red staining.The expression of PINK1 and Parkin was detected by immunohistochemistry.The expression of mRNA and protein was determined by qPCR and Western blot,and the level of serum ROS was detected by ELISA.Results The autonomic activity of model mice was weakened,the water content of organs rose,and the temperature of limbs and lower abdomen was reduced by thermal imaging.HE staining showed obvi-ous hyperplasia of ectopic epithelium and glands.Transmission electron microscopy showed mitochondrial and endoplasmic reticulum structure damage,and nor-mal autophagy structure disappeared.Masson and Siri-us red staining showed increased collagen deposition;immunohistochemistry showed decreased expression of PINK1 and Parkin in ectopic foci.qPCR and Western blot showed that the expression of PINK1,Parkin,Bec-lin1,LC3 mRNA and protein in ectopic foci of model mice decreased,the expression of p62 mRNA and pro-tein increased,and serum ROS increased.The syn-drome performance of model mice was improved after the intervention of Jiawei Shaofu Zhuyu decoction;the inflammatory infiltration of ectopic foci was relieved,the morphology of mitochondria and endoplasmic retic-ulum was restored,and normal autophagy structure ap-peared.The degree of collagen deposition and fibrosis was reduced;the mRNA and protein expression of PINK1,Parkin,Beclin1 and LC3 increased.The ex-pression of p62 mRNA and protein decreased,and the level of ROS decreased.Conclusions Jiawei Shaofu Zhuyu decoction can improve the fibrosis of ectopic le-sions in mice with endometriosis of cold-dampness sta-sis syndrome,which may be related to the regulation of mitophagy.
10.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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