1.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
2.Research and application of a new deep learning based strategy for platelet histogram review
Enming ZHANG ; Chao YANG ; Xianchun CHEN ; Yan LIN ; Taixue AN ; Haixia LI ; Yongjian HE ; Zhiwei LIU ; Limei FENG ; Wanying LIN ; Tie XIONG ; Kai QIU ; Ya GAO ; Lizhu HUANG ; Jing HE ; Chunyan WANG ; Dehua SUN ; Bo SITU ; Lei ZHENG
Chinese Journal of Laboratory Medicine 2025;48(9):1201-1206
Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.
3.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
4.(Meta)transcriptomic Insights into the Role of Ticks in Poxvirus Evolution and Transmission: A Multicontinental Analysis.
Yu Xi WANG ; Jing Jing HU ; Jing Jing HOU ; Xiao Jie YUAN ; Wei Jie CHEN ; Yan Jiao LI ; Qi le GAO ; Yue PAN ; Shui Ping LU ; Qi CHEN ; Si Ru HU ; Zhong Jun SHAO ; Cheng Long XIONG
Biomedical and Environmental Sciences 2025;38(9):1058-1070
OBJECTIVE:
Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear.
METHODS:
Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences.
RESULTS:
Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods.
CONCLUSION
Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals
;
Poxviridae/physiology*
;
Ticks/virology*
;
Phylogeny
;
Transcriptome
;
Evolution, Molecular
;
Poxviridae Infections/virology*
;
Genome, Viral
5.Expert consensus on adrenal vein sampling for primary aldosteronism
Wei MA ; Ying GAO ; Nan-fang LI ; Xiong-jing JIANG
Chinese Journal of Interventional Cardiology 2025;33(10):541-552
Primary aldosteronism(PA)is an important cause of secondary hypertension,and adrenal vein sampling(AVS),as the gold standard for identifying the dominant side in PA,plays a critical role in guiding subsequent therapeutic strategies.AVS is an invasive procedure that is not yet widely available in China.To promote the popularization and standardization of AVS,the Chinese Society of Hypertension(Chinese Research Hospital Association)and the Group of Interventional Diagnosis and Treatment of Hypertension(China International Exchange and Promotive Association for Medical and Health Care)have summarized domestic and foreign evidence and the operational experience of many experts.This consensus has summarized and updated the significance,indications,pre-procedural preparation,procedural steps and key points,prevention and management of complications,and result interpretation of AVS.This consensus provides comprehensive and clinically relevant guidance for the clinical practice and development of AVS,effectively promoting its popularization and standardization.
6.Expert consensus on adrenal vein sampling for primary aldosteronism
Wei MA ; Ying GAO ; Nan-fang LI ; Xiong-jing JIANG
Chinese Journal of Interventional Cardiology 2025;33(10):541-552
Primary aldosteronism(PA)is an important cause of secondary hypertension,and adrenal vein sampling(AVS),as the gold standard for identifying the dominant side in PA,plays a critical role in guiding subsequent therapeutic strategies.AVS is an invasive procedure that is not yet widely available in China.To promote the popularization and standardization of AVS,the Chinese Society of Hypertension(Chinese Research Hospital Association)and the Group of Interventional Diagnosis and Treatment of Hypertension(China International Exchange and Promotive Association for Medical and Health Care)have summarized domestic and foreign evidence and the operational experience of many experts.This consensus has summarized and updated the significance,indications,pre-procedural preparation,procedural steps and key points,prevention and management of complications,and result interpretation of AVS.This consensus provides comprehensive and clinically relevant guidance for the clinical practice and development of AVS,effectively promoting its popularization and standardization.
7.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
8.Research and application of a new deep learning based strategy for platelet histogram review
Enming ZHANG ; Chao YANG ; Xianchun CHEN ; Yan LIN ; Taixue AN ; Haixia LI ; Yongjian HE ; Zhiwei LIU ; Limei FENG ; Wanying LIN ; Tie XIONG ; Kai QIU ; Ya GAO ; Lizhu HUANG ; Jing HE ; Chunyan WANG ; Dehua SUN ; Bo SITU ; Lei ZHENG
Chinese Journal of Laboratory Medicine 2025;48(9):1201-1206
Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.
9.Effects of kinesio taping on the biomechanical characteristics of the lower limbs during side-step cutting
Jing YOU ; Wenqi HUANG ; Wei ZHENG ; Jieming LU ; Yanhua GUO ; Yuan GAO ; Zheyu XIONG
Chinese Journal of Tissue Engineering Research 2024;28(27):4383-4389
BACKGROUND:Kinesio taping has been widely used as a means of sports protection,but its role as a means to correct abnormal biomechanical changes of the lower limbs during side-step cutting remains unclear. OBJECTIVE:To analyze and compare the changes in lower limb kinematics and dynamics when the subjects complete the side-step cutting of the knee joint under the conditions of kinesio taping,placebo taping and blank control. METHODS:Thirty-nine male college students majoring in basketball were recruited as subjects.Each subject was tested with kinesio taping,placebo taping or no taping.The mechanical correction method was used to patch the dominant knee joint of each subject.The run-up speed of 4.5-5.5 m/s was selected to complete the 45° side-step cutting motion,and the kinematics and kinetics data were collected synchronously by the three-dimensional dynamic capture system and the force measuring platform.The kinematics and kinetics parameters at the moment of initial touchdown and peak ground reaction force were selected for data analysis.SPSS 27.0 software was used for statistical analysis of the test data. RESULTS AND CONCLUSION:Kinematic indexes:compared with no taping and placebo taping,the hip abduction and knee valgus angles at the initial touchdown moment were significantly decreased when kinesio taping was used(P<0.05);at the moment of peak lateral ground reaction force,the angles of hip abduction,knee valgus and ankle plantar flexion decreased significantly(P<0.05),and the knee flexion angle was significantly increased(P<0.05).Kinetic indexes:Compared with no taping,both kinesio taping and placebo taping significantly reduced hip abduction and external rotation torque,knee valgus and external rotation torque at the moment of initial touchdown(P<0.05),and significantly reduced peak vertical ground reaction force and peak horizontal backward ground reaction force(P<0.05);in addition,kinesio taping significantly reduced peak lateral ground reaction force compared with no taping and placebo taping(P<0.05).These results indicate that kinesio taping of the knee joint may improve some kinematic and kinetic indexes associated with lower limb injury risk factors during the completion of the side-step cutting in basketball specialized college students to some extent,and may have a positive effect on the prevention of injury during the side-step cutting.In addition,the trends in the effects of placebo taping and kinesio taping on the knee joint are more consistent in terms of changes in some indexes,suggesting that there may be a placebo effect on the mechanism of action of kinesio taping.
10.Analysis of the expression levels and clinical diagnostic value of miR-455 and miR-383 in serum of non-small cell lung cancer patients
Chao GAO ; Xiyong DAI ; Yuhui JIANG ; Xiaoyu LIU ; Jing LI ; Hao XIONG
Journal of Clinical Surgery 2024;32(6):607-610
Objective To detect and analyze the expression levels of serum microRNA(miR)-455 and miR-383 in patients with non-small cell lung cancer(NSCLC),and to explore their clinical diagnostic value.Methods A total of 98 NSCLC patients in our hospital from March 2020 to January 2023 were regarded as the NSCLC group,98 patients with benign lung diseases admitted during the same period were regarded as the benign lung disease group,and another 98 healthy volunteers who underwent physical examination in our hospital during the same period were collected as the health group.Real-time fluorescence quantitative PCR(RT-qPCR)method was applied to detect the expression levels of miR-455 and miR-383 in serum.Pearson was applied to analyze the correlation between serum miR-455 expression level and miR-383 level in NSCLC patients;multivariate Logistic regression and ROC curve was applied to analyze the influencing factors and diagnostic value of NSCLC occurrence.Results The expression levels of miR-455 and miR-383 in the serum of the healthy group,benign lung disease group,and NSCLC group decreased sequentially.Pearson analysis showed there was a positive correlation between serum miR-455 expression level and miR-383 level in NSCLC patients(r=0.582,P<0.05).Logistic analysis found that low expression levels of miR-455 and miR-383 were risk factors for the occurrence of NSCLC(P<0.05).ROC curve analysis showed that the AUC of NSCLC diagnosed by the combination of miR-455 and miR-383 was obviously higher than that diagnosed by miR-455 alone(Z=3.604,P=0.000)and miR-383 alone(Z=2.594,P=0.010).Conclusion The relative expression levels of miR-455 and miR-383 in serum of NSCLC patients are obviously down-regulated.The combined detection of the two has high diagnostic value for NSCLC.

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