1.Research and Practice on Improving Ideological and Political Teaching of Genetics Course in Colleges and Universities
Yan-Wei WANG ; Ya-Juan REN ; Zhen-Xia LI ; Peng-Fei AI
Chinese Journal of Biochemistry and Molecular Biology 2024;40(9):1317-1328
It is necessary to pay close attention to the integration of ideological and political elements and the organic combination of professional curriculum content in the implementation of science and engineer-ing courses.The genetics course is highly specialized,and the course ideological and political develop-ment has its own unique methods.This paper first discusses the characteristics of contemporary college students,and points out the necessity of ideological and political ideas in contemporary college teaching.Based on the characteristics of genetics course,this paper explores the improvement strategies of ideolog-ical and political teaching from four aspects:teaching team building,teaching design optimization,ideo-logical and political elements mining,and organic integration of ideological and political materials into the course content.Taking the actual teaching situation of the author's teaching team as an example to con-duct subsequent teaching evaluation and reflection,the results show that more than 80%of the students believe that the implementation of the genetics course has improved their learning interest and comprehen-sive ability,and promoted the study of professional courses,and the total score of students has increased by about 5.5%on average.In this way,it can provide inspiration for the construction of other related courses,so that the curriculum ideology and politics can escort the improvement of students'ability and the optimization of their character.
2.Analysis of Thalassemia Gene Mutation Types and Ethnic Distribution Characteristics in Hechi Area,Guangxi
Li-Fang LIANG ; Xiu-Ning HUANG ; Dong-Ming LI ; Bi-Yan CHEN ; Xiang CHEN ; Zhen-Ren PENG ; Sheng HE
Journal of Experimental Hematology 2024;32(4):1191-1196
Objective:To investigate the genotype,mutation type,and ethnic distribution characteristics of thalassemia in the population of Hechi area,Guangxi,and to provide a reference basis for prevention and control of thalassemia and eugenic counseling in the region.Methods:Gap-polymerase chain reaction(gap-PCR)and reverse dot blot(RDB)were used for genetic testing on suspected thalassemia persons,and the results were analyzed.Results:Among 29 136 samples,a total of 17 016(58.40%)positive samples for thalassemia genes were detected,with a higher detection rate in males than in females(X2=49.917,P<0.001).The detection rates of thalassemia genes were significant different among Zhuang,Han,Yao,Mulao,and Maonan ethnic groups(x2=546.121,P<0.001).The α-thalassemia genotypes were mainly--SEA/αα(16.67%),-α3.7/αα(8.90%),αCSα/αα(6.00%).Additionally,four rare genotypes were detected,including--THAI/αα(47 cases),HKαα/αα(2 cases),--SEA/-α21.9(2 cases),and--THAI/αcsα(1 case).The β-thalassemia genotypes were mainly βCD17/βN(7.49%),βCD41-42/βN(6.70%),βCD71-72/βN(0.44%).108 cases of moderate and severeβ-thalassemia were detected,of which 81 cases had a history of blood transfusion,the transfusion frequency of 60 cases was more than 10 times/year,and 10 cases received bone marrow transplantation.Conclusion:Thalassemia in Hechi area is predominantly deletion type--SEA/αα,the detection rate of thalassemia in ethnic minorities is higher than that in Han population.In this area,moderate and severe β-thalassemia have certain incidence,these patients mostly need regular blood transfusion and iron removal treatment,and very few patients have received bone marrow transplantation.This study provides a certain reference basis for prevention and control of thalassemia and eugenic counseling in the region.
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
4.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma.
Zheqi LIU ; Zhen ZHANG ; Yu ZHANG ; Wenkai ZHOU ; Xu ZHANG ; Canbang PENG ; Tong JI ; Xin ZOU ; Zhiyuan ZHANG ; Zhenhu REN
International Journal of Oral Science 2024;16(1):9-9
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment. Oral squamous cell carcinoma (OSCC), a representative hypoxic tumor, has a heterogeneous internal metabolic environment. To clarify the relationship between different metabolic regions and the tumor immune microenvironment (TME) in OSCC, Single cell (SC) and spatial transcriptomics (ST) sequencing of OSCC tissues were performed. The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data. The metabolic activity of each spot was calculated using scMetabolism, and k-means clustering was used to classify all spots into hyper-, normal-, or hypometabolic regions. CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others. Through CellPhoneDB and NicheNet cell-cell communication analysis, it was found that in the hypermetabolic region, fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts (iCAFs), and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12. The secretion of CXCL12 recruits regulatory T cells (Tregs), leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment. This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC, ST and TCGA bulk data, and highlights potential targets for therapy.
Humans
;
Carcinoma, Squamous Cell/metabolism*
;
Squamous Cell Carcinoma of Head and Neck
;
Mouth Neoplasms/metabolism*
;
Immunosuppression Therapy
;
Transforming Growth Factor beta
;
Head and Neck Neoplasms
;
Gene Expression Profiling
;
Tumor Microenvironment
5.Bioequivalence study of olmesartan medoxomil tablet in Chinese healthy subjects
Na SHAN ; Da-Hai JIANG ; Lin-Lin MIAO ; Zhen-Li REN ; Peng-Bo JIN ; Pei-Qi HAO ; Li AN ; Hong ZHU ; Yong XIN ; Guang-De YANG ; Feng LIU
The Chinese Journal of Clinical Pharmacology 2024;40(20):3033-3037
Objective To study the bioequivalence of test and reference olmesartan tablet in Chinese healthy subjects after single dose under fasting and fed conditions.Methods A single-center,random,open,single-dose,two-preparations,double-period,crossover study was adopted.A total of 48 healthy adult male and female subjects(24 cases of fasting test and 24 cases of fed test)were included in the random crossover administration.Single oral dose 20 mg of test and reference were taken under fasting and postprandial conditions,respectively.Plasma concentration of olmesartan in plasma were determined by liquid chromatography tandem mass spectrometry.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.0 software.Results The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the fasting group were as follows:Cmax were(653.06±133.53)and(617.37±151.16)ng·mL-1,AUC0-t were(4 201.18±1 035.21)and(4 087.38±889.99)ng·mL-1·h,AUC0-∞ were(4 254.30±1 058.90)and(4 135.69±905.29)ng·mL-1·h.The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the postprandial group were as follows:Cmax were(574.78±177.05)and(579.98±107.74)ng·mL-1,AUC0-t were(3 288.37±866.06)and(3 181.51±801.06)ng·mL-1·h,AUC0-∞ were(3 326.11±874.26)and(3 242.01±823.09)ng·mL-1·h.Under fasting and postprandial conditions,the 90%confidence intervals of the main pharmacokinetic parameters of the test and reference preparations are both 80.00%-125.00%.Conclusion Under fasting and postprandial conditions,a single oral dose of test and reference preparations olmesartan tablets in Chinese healthy adult volunteers showed bioequivalence.
6.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma
Liu ZHEQI ; Zhang ZHEN ; Zhang YU ; Zhou WENKAI ; Zhang XU ; Peng CANBANG ; Ji TONG ; Zou XIN ; Zhang ZHIYUAN ; Ren ZHENHU
International Journal of Oral Science 2024;16(1):110-121
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.
7.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma
Liu ZHEQI ; Zhang ZHEN ; Zhang YU ; Zhou WENKAI ; Zhang XU ; Peng CANBANG ; Ji TONG ; Zou XIN ; Zhang ZHIYUAN ; Ren ZHENHU
International Journal of Oral Science 2024;16(1):110-121
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.
8.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma
Liu ZHEQI ; Zhang ZHEN ; Zhang YU ; Zhou WENKAI ; Zhang XU ; Peng CANBANG ; Ji TONG ; Zou XIN ; Zhang ZHIYUAN ; Ren ZHENHU
International Journal of Oral Science 2024;16(1):110-121
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.
9.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma
Liu ZHEQI ; Zhang ZHEN ; Zhang YU ; Zhou WENKAI ; Zhang XU ; Peng CANBANG ; Ji TONG ; Zou XIN ; Zhang ZHIYUAN ; Ren ZHENHU
International Journal of Oral Science 2024;16(1):110-121
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.
10.Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma
Liu ZHEQI ; Zhang ZHEN ; Zhang YU ; Zhou WENKAI ; Zhang XU ; Peng CANBANG ; Ji TONG ; Zou XIN ; Zhang ZHIYUAN ; Ren ZHENHU
International Journal of Oral Science 2024;16(1):110-121
Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.

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