1.Circulating immunological transcriptomic profile identifies DDX3Y and USP9Y on the Y chromosome as promising biomarkers for predicting response to programmed death 1/programmed death ligand 1 blockade.
Liting YOU ; Zhaodan XIN ; Feifei NA ; Min CHEN ; Yang WEN ; Jin LI ; Jiajia SONG ; Ling BAI ; Jianzhao ZHAI ; Xiaohan ZHOU ; Binwu YING ; Juan ZHOU
Chinese Medical Journal 2025;138(3):364-366
2.History, Experience, Opportunities, and Challenges in Esophageal Cancer Prevention and Treatment in Linxian, Henan Province, A High Incidence Area for Esophageal Cancer
Lidong WANG ; Xiaoqian ZHANG ; Xin SONG ; Xueke ZHAO ; Duo YOU ; Lingling LEI ; Ruihua XU ; Jin HUANG ; Wenli HAN ; Ran WANG ; Qide BAO ; Aifang JI ; Lei MA ; Shegan GAO
Cancer Research on Prevention and Treatment 2025;52(4):251-255
Linxian County in Henan Province, Northern China is known as the region with the highest incidence and mortality rate of esophageal cancer worldwide. Since 1959, the Henan medical team has conducted field work on esophageal cancer prevention and treatment in Linxian. Through three generations of effort exerted by oncologists over 65 years of research on esophageal cancer prevention and treatment in Linxian, the incidence rate of esophageal squamous cell carcinoma in this area has dropped by nearly 50%, and the 5-year survival rate has increased to 40%, reaching the international leading
3.Single nucleotide polymorphism typing of Yersinia pestis in natural plague foci around Qinghai Lake
Sheng LI ; Juan JIN ; Jian HE ; Xiao-yan YANG ; Ji-xiang BAI ; You-quan XIN ; Li ZHANG ; Xiao-lu ZHANG ; Wen-qi DU ; Wei LI
Chinese Journal of Zoonoses 2025;41(6):592-596
This study was aimed at determining the molecular characteristics of Yersinia pestis in the natural plague foci around Qinghai Lake through single nucleotide polymorphism technology,to lay a foundation for molecular epidemiological and source-tracing analysis of Y.pestis in this area.Using the whole genome sequencing technology,we obtained the whole genome sequences of 84 representative Y.pestis strains.Using the sequences of Y.pestis and Yersinia pseudotuberculosis IP32953 from the NCBI database as references,we compared and analyzed the 2 298 SNP loci of these strains.From 1957 to 2020,84 representative strains of Y.pestis from the natural plague foci around Qinghai Lake were divided into two clades:1.IN2 and 3.ANT1.The 1.IN2 clade was the characteristic population of Y.pestis throughout all epidemic years in this area.Additionally,analysis of the SNP distribution and hosts in the region indicated that the 1.IN2 clade was located in five counties except Wulan,whereas the 3.ANT1 clade was isolated from Himalayan marmot and dog in two counties.In conclusion,the population structure of SNP of Y.pestis in the natural plague foci around Qinghai Lake is relatively simple,and SNP analysis of Y.pestis provided a scientific basis for tracing plague epidemic sources and formulating plague prevention and control measures in this area.
4.Associations of Genetic Risk and Physical Activity with Incident Chronic Obstructive Pulmonary Disease: A Large Prospective Cohort Study.
Jin YANG ; Xiao Lin WANG ; Wen Fang ZHONG ; Jian GAO ; Huan CHEN ; Pei Liang CHEN ; Qing Mei HUANG ; Yi Xin ZHANG ; Fang Fei YOU ; Chuan LI ; Wei Qi SONG ; Dong SHEN ; Jiao Jiao REN ; Dan LIU ; Zhi Hao LI ; Chen MAO
Biomedical and Environmental Sciences 2025;38(10):1194-1204
OBJECTIVE:
To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease.
METHODS:
This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used.
RESULTS:
During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity.
CONCLUSION
Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans
;
Pulmonary Disease, Chronic Obstructive/epidemiology*
;
Exercise
;
Male
;
Female
;
Middle Aged
;
Prospective Studies
;
Aged
;
Genetic Predisposition to Disease
;
Risk Factors
;
United Kingdom/epidemiology*
;
Incidence
;
Adult
5.Formulation and Analysis of Clinical Pharmacist Teacher Training Standard
Ping LIN ; Jiancun ZHEN ; Wei ZHANG ; Zhuo WANG ; Yangui XU ; Pinfang HUANG ; Xin HUANG ; Qingchun ZHAO ; Ying ZHOU ; Jin LU ; Jing LIU ; Li YOU
Herald of Medicine 2025;44(3):404-407
Clinical pharmacist teacher training is an important mean to improve the quality of clinical pharmacy talent cultivation and ensure the service ability and level of the clinical pharmacist team.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-2:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Teacher Training was based on the newly revised management document for clinical pharmacist teacher training of the Chinese Hospital Association.After sorting out relevant materials,such as standards,policies and regulations,technical specifications,liter-ature,documents of the Chinese Hospital Association,expert opinions,and the current situation of clinical pharmacist teacher training in China,the standard was formulated.In the standard,12 key elements,which can be divided into 3 parts of base manage-ment,training process and assessment,quality management and evaluation improvement,were standardized.This article aimed to introduce the construction method and content of the standard,to facilitate the understanding of the standard content for medical institutions which joined or willing to join the clinical pharmacist teacher training base,and to provide a reference for other medi-cal institutions to carry out related work.
6.Single nucleotide polymorphism typing of Yersinia pestis in natural plague foci around Qinghai Lake
Sheng LI ; Juan JIN ; Jian HE ; Xiao-yan YANG ; Ji-xiang BAI ; You-quan XIN ; Li ZHANG ; Xiao-lu ZHANG ; Wen-qi DU ; Wei LI
Chinese Journal of Zoonoses 2025;41(6):592-596
This study was aimed at determining the molecular characteristics of Yersinia pestis in the natural plague foci around Qinghai Lake through single nucleotide polymorphism technology,to lay a foundation for molecular epidemiological and source-tracing analysis of Y.pestis in this area.Using the whole genome sequencing technology,we obtained the whole genome sequences of 84 representative Y.pestis strains.Using the sequences of Y.pestis and Yersinia pseudotuberculosis IP32953 from the NCBI database as references,we compared and analyzed the 2 298 SNP loci of these strains.From 1957 to 2020,84 representative strains of Y.pestis from the natural plague foci around Qinghai Lake were divided into two clades:1.IN2 and 3.ANT1.The 1.IN2 clade was the characteristic population of Y.pestis throughout all epidemic years in this area.Additionally,analysis of the SNP distribution and hosts in the region indicated that the 1.IN2 clade was located in five counties except Wulan,whereas the 3.ANT1 clade was isolated from Himalayan marmot and dog in two counties.In conclusion,the population structure of SNP of Y.pestis in the natural plague foci around Qinghai Lake is relatively simple,and SNP analysis of Y.pestis provided a scientific basis for tracing plague epidemic sources and formulating plague prevention and control measures in this area.
7.Comparison of six active constituent contents in modified Liujunzi Decoction during different process amplifications
Ya-ping ZHU ; Yu-xin LIU ; Meng-qi SHAO ; You-jin WANG ; Lei WU
Chinese Traditional Patent Medicine 2025;47(2):395-400
AIM To compare the contents of caffeic acid,ferulic acid,narirutin,calycosin,glycyrrhizic acid and atractylenolide Ⅲ of modified Liujunzi Decoction(MLJZD)during small test,pilot test(500,1 500 L)and large production.METHODS The samples were taken after soaking for 60 min,boiling for 0,5,10,15,20,30 min in the first decoction,and boiling for 5,10,15,20 min in the second decoction,respectively,after which the HPLC fingerprints were established,the contents of active constituents were determined.RESULTS There were 6 common peaks in the HPLC fingerprints for small test and pilot test,while 5 common peaks were observable in the HPLC fingerprints for large production,along with the similarities of more than 0.980.During pilot tests at different time points,various active constituents demonstrated consistent content changing trends,whose total content was higher than those during small test and large production.CONCLUSION Process amplification exhibits a little influence on active constituent contents in MLJZD,which don't show increasing trends with the expansion of container and enhancement of dosage.
8.Formulation and Analysis of Clinical Pharmacist Teacher Training Standard
Ping LIN ; Jiancun ZHEN ; Wei ZHANG ; Zhuo WANG ; Yangui XU ; Pinfang HUANG ; Xin HUANG ; Qingchun ZHAO ; Ying ZHOU ; Jin LU ; Jing LIU ; Li YOU
Herald of Medicine 2025;44(3):404-407
Clinical pharmacist teacher training is an important mean to improve the quality of clinical pharmacy talent cultivation and ensure the service ability and level of the clinical pharmacist team.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-2:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Teacher Training was based on the newly revised management document for clinical pharmacist teacher training of the Chinese Hospital Association.After sorting out relevant materials,such as standards,policies and regulations,technical specifications,liter-ature,documents of the Chinese Hospital Association,expert opinions,and the current situation of clinical pharmacist teacher training in China,the standard was formulated.In the standard,12 key elements,which can be divided into 3 parts of base manage-ment,training process and assessment,quality management and evaluation improvement,were standardized.This article aimed to introduce the construction method and content of the standard,to facilitate the understanding of the standard content for medical institutions which joined or willing to join the clinical pharmacist teacher training base,and to provide a reference for other medi-cal institutions to carry out related work.
9.Comparison of six active constituent contents in modified Liujunzi Decoction during different process amplifications
Ya-ping ZHU ; Yu-xin LIU ; Meng-qi SHAO ; You-jin WANG ; Lei WU
Chinese Traditional Patent Medicine 2025;47(2):395-400
AIM To compare the contents of caffeic acid,ferulic acid,narirutin,calycosin,glycyrrhizic acid and atractylenolide Ⅲ of modified Liujunzi Decoction(MLJZD)during small test,pilot test(500,1 500 L)and large production.METHODS The samples were taken after soaking for 60 min,boiling for 0,5,10,15,20,30 min in the first decoction,and boiling for 5,10,15,20 min in the second decoction,respectively,after which the HPLC fingerprints were established,the contents of active constituents were determined.RESULTS There were 6 common peaks in the HPLC fingerprints for small test and pilot test,while 5 common peaks were observable in the HPLC fingerprints for large production,along with the similarities of more than 0.980.During pilot tests at different time points,various active constituents demonstrated consistent content changing trends,whose total content was higher than those during small test and large production.CONCLUSION Process amplification exhibits a little influence on active constituent contents in MLJZD,which don't show increasing trends with the expansion of container and enhancement of dosage.
10.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
;
Humans
;
Consensus
;
Computer Security/standards*
;
Confidentiality/ethics*
;
Informed Consent/ethics*

Result Analysis
Print
Save
E-mail