1.AI-Ready Competency Framework for Biomedical Scientific Data Literacy.
Zhe WANG ; Zhi-Gang WANG ; Wen-Ya ZHAO ; Wei ZHOU ; Sheng-Fa ZHANG ; Xiao-Lin YANG
Chinese Medical Sciences Journal 2025;40(3):203-210
With the rise of data-intensive research, data literacy has become a critical capability for improving scientific data quality and achieving artificial intelligence (AI) readiness. In the biomedical domain, data are characterized by high complexity and privacy sensitivity, calling for robust and systematic data management skills. This paper reviews current trends in scientific data governance and the evolving policy landscape, highlighting persistent challenges such as inconsistent standards, semantic misalignment, and limited awareness of compliance. These issues are largely rooted in the lack of structured training and practical support for researchers. In response, this study builds on existing data literacy frameworks and integrates the specific demands of biomedical research to propose a comprehensive, lifecycle-oriented data literacy competency model with an emphasis on ethics and regulatory awareness. Furthermore, it outlines a tiered training strategy tailored to different research stages-undergraduate, graduate, and professional, offering theoretical foundations and practical pathways for universities and research institutions to advance data literacy education.
Artificial Intelligence
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Humans
;
Biomedical Research
2.Influence of GPRC5A-Regulated ABCB1 Expression on Lung Adenocarcinoma Proliferation
Li YUN ; Cui WEN-WEN ; Yang ZHONG-FA ; Liu WEN-HAO ; Bian MAO-WANG ; Deng JIONG ; Wang TONG
Chinese Medical Sciences Journal 2024;39(1):9-18,中插2
Objective Aberrant expression of ATP binding cassette subfamily B member 1(ABCB1)plays a key role in several cancers.However,influence of G protein coupled receptor family C group 5 type A(GPRC5A)-regulated ABCB1 expression on lung adenocarcinoma proliferation remains unclear.Therefore,this study investigated the effect of GPRC5A regulated ABCB1 expression on the proliferation of lung adenocarcinoma. Methods ABCB1 expressions in lung adenocarcinoma cell lines,human lung adenocarcinoma tissues,and tracheal epithelial cells and lung tissues of GPRC5A knockout mice and wild-type mice were analyzed with RT-PCR,Western blot,or immunohistochemical analysis.Cell counting kit-8 assay was performed to analyze the sensitivity of tracheal epithelial cells from GPRC5A knockout mice to chemotherapeutic agents.Subcutaneous tumor formation assay was performed to confirm whether down-regulation of ABCB 1 could inhibit the proliferation of lung adenocarcinoma in vivo.To verify the potential regulatory relationship between GPRC5A and ABCB1,immunofluorescence and immunoprecipitation assays were performed. Results ABCB1 expression was up-regulated in lung adenocarcinoma cell lines and human lung adenocarcinoma tissues.ABCB1 expression in the tracheal epithelial cells and lung tissues of GPRC5A deficient mice was higher than that in the wild type mice.Tracheal epithelial cells of GPRC5A knockout mice were much more sensitive to tariquidar and doxorubicin than those of GPRC5A wild type mice.Accordingly,28 days after injection of the transplanted cells,the volume and weight of lung tumor in ABCB1 knockout cell-transplanted GPRC5A-/-C57BL/6 mice were significantly smaller than those in wild type cell-transplanted mice(P=0.0043,P=0.0060).Furthermore,immunofluorescence and immunoprecipitation assays showed that GPRC5A regulated ABCB1 expression by direct binding. Conclusion GPRC5A reduces lung adenocarcinoma proliferation via inhibiting ABCB1 expression.The pathway by which GPRC5A regulates ABCB1 expression needs to be investigated.
3.Human resource efficiency and spatial distribution characterization of district-level center for disease control and prevention in city N of Jiangsu Province
Yang LI ; Yu-Meng WEI ; Yu-Qi YANG ; Wen-Jie XU ; Ming-Yao GU ; Zi-Fa HUANG ; Zhi-Hao ZHANG ; Fang WU
Chinese Journal of Health Policy 2024;17(10):52-58
Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.
5.A Dataset on the Dynamic Monitoring of Health and Family Planning of China's Internal Migrants: A Multi-Wave Large-Scale, National Cross-Sectional Survey from 2009 to 2018.
Sheng-Fa ZHANG ; Wei LUO ; Zhi-Li WANG ; Jing CHEN ; Fang ZHOU ; Jing-Wen SUN ; Jia-Yang WANG ; Jing-Chen ZHANG ; Wei ZHOU
Chinese Medical Sciences Journal 2023;38(3):235-241
This data article presents data from the China Migrants Dynamic Survey (CMDS), a multi-wave, large-scale national cross-sectional survey of China's internal migrants from 2009 to 2018. The CMDS is an annual questionnaire survey conducted by the former National Health and Family Planning Commission (NHFPC) of the People's Republic of China. The respondents included in this survey are internal migrants over 15 years old. The sample was drawn from the China Migrant Population Information System, using multi-stage stratified sampling method and the probability proportional-to-size (PPS) cluster sampling strategy. Between 2009 and 2018, there were 1,527,650 internal migrants from 23 provinces, 5 autonomous regions and 4 municipalities participated in the surveys. The survey tools were a series of self-designed questionnaires with high inheritance and consistency designed and implemented by the NHFPC. The questionnaires mainly contain basic information of the respondents and their family members, migration status, healthcare or health behaviors, public health service utilization, social insurance, social integration, and family planning. The dataset is currently the most widely used survey data on China's internal migrants, offering information on migration patterns, healthcare and health behaviors, use of public health services, access to social security, social integration, and family planning, which are valuable for health planning, health decision-making, and health equity research.
United States
;
Humans
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Adolescent
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Family Planning Services
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Transients and Migrants
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Cross-Sectional Studies
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China/epidemiology*
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Surveys and Questionnaires
6.Incidence of extrauterine growth retardation and its risk factors in very preterm infants during hospitalization: a multicenter prospective study.
Wei SHEN ; Zhi ZHENG ; Xin-Zhu LIN ; Fan WU ; Qian-Xin TIAN ; Qi-Liang CUI ; Yuan YUAN ; Ling REN ; Jian MAO ; Bi-Zhen SHI ; Yu-Mei WANG ; Ling LIU ; Jing-Hui ZHANG ; Yan-Mei CHANG ; Xiao-Mei TONG ; Yan ZHU ; Rong ZHANG ; Xiu-Zhen YE ; Jing-Jing ZOU ; Huai-Yu LI ; Bao-Yin ZHAO ; Yin-Ping QIU ; Shu-Hua LIU ; Li MA ; Ying XU ; Rui CHENG ; Wen-Li ZHOU ; Hui WU ; Zhi-Yong LIU ; Dong-Mei CHEN ; Jin-Zhi GAO ; Jing LIU ; Ling CHEN ; Cong LI ; Chun-Yan YANG ; Ping XU ; Ya-Yu ZHANG ; Si-Le HU ; Hua MEI ; Zu-Ming YANG ; Zong-Tai FENG ; San-Nan WANG ; Er-Yan MENG ; Li-Hong SHANG ; Fa-Lin XU ; Shao-Ping OU ; Rong JU
Chinese Journal of Contemporary Pediatrics 2022;24(2):132-140
OBJECTIVES:
To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China.
METHODS:
A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined.
RESULTS:
The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05).
CONCLUSIONS
It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
Female
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Fetal Growth Retardation
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Gestational Age
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Hospitalization
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Humans
;
Incidence
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Infant
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Infant, Newborn
;
Infant, Premature
;
Infant, Very Low Birth Weight
;
Prospective Studies
;
Risk Factors
7.Study on drug properties of Arisaematis Rhizoma and Arisaema Cum Bile based on substance and energy metabolism in normal and cold/heat syndrome model rats.
Fa-Zhi SU ; Chen-Xi BAI ; Wen-Sen ZHANG ; Jing YANG ; Jian-Ping HU ; Yan-Ping SUN ; Bing-You YANG ; Hai-Xue KUANG ; Qiu-Hong WANG
China Journal of Chinese Materia Medica 2022;47(17):4682-4690
This paper clarified the scientific connotation of the changes in cold and heat properties of Arisaematis Rhizoma and Arisaema Cum Bile through investigating the changes of substance and energy metabolism after drug intervention in the rats with normal and cold/heat syndrome, so as to improve the method of evaluating the drug properties of Chinese medicine. After one week of adaptive feeding, healthy male SD rats were randomly divided into three parts: normal rats, heat syndrome rat models, and cold syndrome rat models. Through ice water bath and oral euthyrox(120 μg·kg~(-1)), the models of cold syndrome and heat syndrome were induced, respectively. The models were made at 9:00 am. and administrated by gavage at 3:00 pm. every day. All administration groups were administrated with Arisaematis Rhizoma and Arisaema Cum Bile decoction, respectively, and the blank group was given the same dose of normal saline. After continuous administration for 15 d, the rats were anesthetized by chloral hydrate, blood was taken from abdominal aorta, and the hearts and livers were removed and stored at-80 ℃. The changes in the body weight and anal temperature of rats during administration were detected, and the liver coefficient of rats was detected after removing the liver. Enzyme-linked immunosorbent assay(ELISA) was adopted to detect the expression level of the indexes related to substance and energy metabolism in liver and heart of rat, and Western blot was used to detect the expression of key proteins in AMPK/mTOR signaling pathway for further verification. The results showed that Arisaematis Rhizoma enhanced the expression level of enzymes related to substance and energy metabolism in the normal and cold and heat syndrome rat models, and increased anal temperature, which exhibited warm(hot) drug property. Arisaema Cum Bile inhibited the level of substance and energy metabolism in rats, and reduced anal temperature, which showed cold(cool) drug property. Chinese Pharmacopoeia has recorded "Arisaematis Rhizoma has warm property and Arisaema Cum Bile has cool property", which is consistent with the phenomenon in this study. Therefore, it is feasible to evaluate the drug properties of Chinese medicine based on the substance and energy metabolism of normal and cold/heat syndrome model rats, which completes the method of evaluating drug properties of Chinese medicine.
AMP-Activated Protein Kinases
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Animals
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Arisaema/chemistry*
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Bile
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Chloral Hydrate
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Cold-Shock Response/drug effects*
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Drugs, Chinese Herbal/therapeutic use*
;
Energy Metabolism
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Heat Stroke/therapy*
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Hot Temperature
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Male
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Rats
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Rats, Sprague-Dawley
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Saline Solution
;
Syndrome
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TOR Serine-Threonine Kinases
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Thyroxine
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Water
8.Establishment of a predictive nomogram model for predicting the death of very preterm infants during hospitalization.
Zhen-Zhen JUE ; Juan SONG ; Zhu-Ye ZHOU ; Wen-Dong LI ; Yu-Yang YUE ; Fa-Lin XU
Chinese Journal of Contemporary Pediatrics 2022;24(6):654-661
OBJECTIVES:
To establish a nomogram model for predicting the risk of death of very preterm infants during hospitalization.
METHODS:
A retrospective analysis was performed on the medical data of 1 714 very preterm infants who were admitted to the Department of Neonatology, the Third Affiliated Hospital of Zhengzhou University, from January 2015 to December 2019. These infants were randomly divided into a training cohort (1 179 infants) and a validation cohort (535 infants) at a ratio of 7∶3. The logistic regression analysis was used to screen out independent predictive factors and establish a nomogram model, and the feasibility of the nomogram model was assessed by the validation set. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to assess the discriminatory ability, accuracy, and clinical applicability of the model.
RESULTS:
Among the 1 714 very preterm infants, 260 died and 1 454 survived during hospitalization. By the multivariate logistic regression analysis of the training set, 8 variables including gestational age <28 weeks, birth weight <1 000 g, severe asphyxia, severe intraventricular hemorrhage (IVH), grade III-IV respiratory distress syndrome (RDS), and sepsis, cesarean section, and use of prenatal glucocorticoids were selected and a nomogram model for predicting the risk of death during hospitalization was established. In the training cohort, the nomogram model had an AUC of 0.790 (95%CI: 0.751-0.828) in predicting the death of very preterm infants during hospitalization, while in the validation cohort, it had an AUC of 0.808 (95%CI: 0.754-0.861). The Hosmer-Lemeshow goodness-of-fit test showed a good fit (P>0.05). DCA results showed a high net benefit of clinical intervention in very preterm infants when the threshold probability was 10%-60% for the training cohort and 10%-70% for the validation cohort.
CONCLUSIONS
A nomogram model for predicting the risk of death during hospitalization has been established and validated in very preterm infants, which can help clinicians predict the probability of death during hospitalization in these infants.
Cesarean Section
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Female
;
Fetal Growth Retardation
;
Hospitalization
;
Humans
;
Infant
;
Infant, Newborn
;
Infant, Premature
;
Infant, Premature, Diseases
;
Nomograms
;
Pregnancy
;
Retrospective Studies
9.Research Progress of Multi-target CAR-T Cell Therapy for Cancer
Yao JIANG ; Weihong WEN ; Fa YANG ; Disen NIE ; Wuhe ZHANG ; Weijun QIN
Cancer Research on Prevention and Treatment 2022;49(7):709-714
Chimeric antigen receptor T cell (CAR-T) is a kind of adoptive cell immunotherapy, in which T cells are genetically modified to exert targeted killing effect on tumors. CAR-T cell therapy has shown remarkable antitumor efficacy for the treatment of tumors, especially for hematological malignancies, but is less effective in solid tumors. Single-target CAR-T is prone to off-target effect during application, and there is a risk of relapse or more refractory treatment. The development of double-target or multi-target CAR-T is expected to extend the antigen coverage of target cells, effectively avoids antigen escape and prevents tumor recurrence, and prolongs the survival time of patients. This article reviews the advances of multi-target chimeric antigen receptor T cell, and discusses the prospect of its development.
10.The role of adenine nucleotide and its metabolites in regulating the homeostasis of glucose and lipid metabolism.
Wen-Hao GE ; Jun-Hao LIU ; Yun-Xia YANG ; Yang ZHAO ; Zhao DING ; Jian-Fa ZHANG
Acta Physiologica Sinica 2021;73(5):707-722
Glucose and lipid metabolism is the most fundamental metabolic activity of higher organisms. This process is affected by both genetic polymorphisms and environmental factors. Excessive uptake and accumulation of lipids lead to obesity and disorder of glucose metabolic homeostasis characterized by insulin resistance and hyperglycemia, suggesting that the cross-regulation between lipid and glucose metabolism happens precisely at organ, cellular and molecular levels by known mechanisms. Adenine nucleotides and their metabolites have emerged as mediators in the mutual regulation of glucose and lipid metabolism. This review summarizes the roles of purinergic signaling induced by fatty acids in glucose metabolism and the development of type 2 diabetes.
Adenine Nucleotides
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Diabetes Mellitus, Type 2
;
Glucose
;
Homeostasis
;
Humans
;
Insulin Resistance
;
Lipid Metabolism

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