导师风采
闫宇翔
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个人信息

Personal Information

  • 教授
  • 导师类别:硕士,博士生导师
  • 性别: 女
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:公共卫生学院
  • 所属专业: 流行病与卫生统计学
  • 邮箱 : yanyxepi@ccmu.edu.cn
  • 工作电话 : 010-83911498

个人简介

Personal Profile

首都医科大学公共卫生学院流行病与卫生统计学系教授,博士生导师。研究方向为慢性病流行病学与临床流行病学。主要从事2型糖尿病、心血管疾病、认知功能障碍等常见慢性病的环境和遗传危险因素、组学生物标志物研究,基于前瞻性队列开展疾病预测模型、因果推断研究。先后获北京市中青年骨干教师、北京市优秀人才、北京市青年拔尖人才项目资助。主持国家自然科学基金、北京市自然科学基金、国家重点研发计划子课题等多项科研课题。以第一作者或通讯作者在Cardiovascular Diabetology,Journal of Clinical Endocrinology & Metabolism,Environmental Pollution,American Journal of Epidemiology等期刊发表SCI论文60余篇。曾获得北京市科学技术三等奖、华夏医学科技奖三等奖各1项,首都医科大学科技进步奖2项。作为副主编和编委参编国家规划教材十余部,参编全国高等学校预防医学专业第九轮规划教材《流行病学》及配套教材。兼任世界中联临床疗效评价专业委员会常务理事、中华预防医学会肿瘤预防与控制专业委员会委员、全国工业统计学教学研究会健康医疗大数据学会常务理事、国家药品监督管理局器审中心专家咨询委员会委员、首都医科大学临床流行病学与临床试验学系副主任。


  • 研究方向Research Directions
慢性病流行病学,临床流行病学
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
项目情况

1.  胰岛素信号通路N6-甲基腺嘌呤(m6A)异常修饰与2型糖尿病的关联研究,北京市自然科学基金面上项目(7232233),主持

2.  可利霉素临床研究,国家重点研发计划子课题(2020YFC084490),主持

3.  靶向胰岛素PI3K/Akt信号传导通路的环状RNAs与血糖异常转化的关联及作用机制研究,国家自然科学基金面上项目(81773511),主持

4.  应激相关miRNAs表达水平及遗传变异与胰岛素抵抗的关联研究,国家自然科学基金面上项目(81573214),主持

5. miR-34c、miR-144与胰岛素抵抗的关联及相关功能研究,北京市自然科学基金面上项目(7162020),主持

6.  脂代谢相关miRNAs与冠心病关系的分子流行病学研究,北京市教委科技计划面上项目(KM201510025006),主持

7.  应激相关基因多态性与代谢综合征的关联性研究,北京市教委青年拔尖人才培育计划(CIT&TCD201304181),主持

8.  基于慢性应激的亚健康状态量化方法及其生物标志物的鉴定,国家自然科学基金项目(81102208),主持

9.  糖皮质激素受体基因Tag-SNPs与代谢组分的关联研究,北京市自然科学基金项目(7133229),主持



研究成果

[1] Cao TR, Wu LJ, Gong M, Zhang Y,Ding J, Feng XM, Fan NF, Yang XH*, Yan YX*. Combined effects of ambient air pollution exposure and biologicalaging on incident liver diseases: A large prospective cohort study. Am J Epidemiol. 2025;kwaf196.

[2] Feng XM#, Zhang Y#, ChenN, Ma LL, Gong M, Yan YX*. The role of m6Amodification in cardiovascular disease: A systematic review and integrativeanalysis. Int Immunopharmacol. 2024; 143: 113603.

[3] Yan YX*#, Lu YK#, Liu YH, Zhang J, Wang S, Dong J, Xiao HB.Identification of circular RNA hsa_circ_0034621 as a novel biomarker forcarotid atherosclerosis and the potential function as a regulator of NLRP3inflammasome. Atherosclerosis. 2024; 391: 117491.

[4] Chen N, Ma LL, Zhang Y, ChuX, Dong J, Yan YX*.Association of long-term triglyceride-glucose index patterns with the incidenceof chronic kidney disease among non-diabetic population: evidence from afunctional community cohort. Cardiovasc Diabetol. 2024; 23(1): 7.

[5] Cui L, Gan Q, Xu J, Xu P, Yang T, Cao W, WangH, Guo H, Luo R, Zhang J, Pan H, Zhao W, Yang Z, Yan Y*, Zhang Q*. EpidemiologicalCharacteristics of Fracture Among Children Aged 6-17 Years - China, 2019-2021.China CDC Wkly. 2024; 6(32): 799-803.

[6]  Chen N, Ma LL, Zhang Y, Yan YX*. Association ofhousehold solid fuel use and long-term exposure to ambient air pollution with estimated10-year high cardiovascular disease risk among postmenopausal women. Environ Pollut. 2024; 342: 123091.

[7] Li YL, Zhang Y, Chen N, Yan YX*. The role of m6Amodification in type 2 diabetes: a systematic review and integrative analysis.Gene. 2024; 898: 148130.

[8] Ma LL, Chen N, Zhang Y, FengXM, Gong M, Yan YX*.Association of phenotypic frailty and frailty index with type 2 diabetes anddyslipidemia in middle-aged and elderly Chinese: A longitudinal cohort study.Arch Gerontol Geriatr. 2024; 119: 105311.

[9] Liu YH#, Ma LL#,Hu LK, Lu-Cui, Li YL, Chen N, Yang K, Zhang Y, Yan YX*. The joint effects of sarcopenia andcardiometabolic risk factors on declined cognitive function: evidence from a7-year cohort study. J Affect Disord. 2024; 344: 644-652.

[10] Ma LL, Xiao HB, Zhang J, Liu YH, Hu LK, Chen N, Chu X,Dong J, Yan YX*.Association between systemic immune inflammatory/inflammatory response indexand hypertension: A cohort study of functional community. Nutr Metab CardiovascDis. 2024; 34(2): 334-342.

[11] Chen N, Liu YH, Hu LK, MaLL, Zhang Y, Chu X, Dong J, YanYX*.Association of variability in metabolic parameters with the incidence oftype 2 diabetes: evidence from a functional community cohort. CardiovascDiabetol.2023; 22(1): 183.

[12] Chen N#, Wu LJ#,Xiao HB, Liu YH, Hu LK, Ma LL, Chu X, Dong J, YanYX*. Occupational stress is associated with insulinresistance and incident type2 diabetes: a prospective cohort study offunctional community. Clin Chim Acta.2023; 544: 117356.

[13] Li YL, Li L, Liu YH, Hu LK, Yan YX*. Identification ofmetabolism-related proteins as biomarkers of insulin resistance andpotentialmechanisms of m6A modification. Nutrients. 2023; 15(8): 1839.

[14] Chen N#, Hu LK#,Sun Y, Dong J, Chu X, Lu YK, Liu YH, Ma LL, Yan YX*.Associations of waist-to-height ratio with the incidenceof type 2 diabetes andmediation analysis: two independent cohort studies. ObesRes Clin Pract. 2023; 17(1):9–15.

[15] Dong J#, Hu LK#,Lu YK, Liu YH, Chu X*, Yan YX*.Association of serumuric acid with the risk of developing hypertension: a prospective cohort studywith mediation analysis. Hypertens Res. 2023; 46(2):345-56.

[16] Hu LK#, Liu YH#,Yang K, Chen N, Ma LL, Yan YX*.Associations betweenlong-term exposure to ambient fine particulate pollution with the decline ofkidney function and hyperuricemia: a longitudinal cohortstudy. Environ SciPollut Res. 2023; 30(14): 40507-18.

[17] Dong J#, Liu YH#,Lu YK, Hu LK, Chen N, Ma LL, Chu X*,Yan YX*.Association betweensurrogate indicators of insulin resistance and risk of type2 diabetes combinedwith hypertension among Chinese adults: two independentcohort studies. Nutr Metab (Lond). 2022; 19(1):85.

[18] Yan YX#*, Dong J#, Li YL,Lu YK, Yang K, Wang T, ZhangX, Xiao HB*. CircRNA hsa_circ_0071336 is associated with type 2diabetes throughtargeting the miR-93-5p/GLUT4 axis. FASEB J. 2022; 36(5):e22324. 

[19] Lu YK#, Dong J#, Li YL,Liu YH, Hu LK, Chu X*, YanYX*.Association between insulin resistance and incidence of carotidatheroscleroticplaque: a cohort study. Nutr Metab CardiovascDis. 2022; 32(4):981-93.

[20] Lu YK#, Dong J#, Sun Y, Hu LK, Liu YH, Chu X*, Yan YX*.Gender-specificpredictive ability for the risk of hypertension incidencerelated to baselinelevel or trajectories of adiposity indices: a cohort studyof functionalcommunity. Int J Obes (Lond). 2022; 46(5): 1036-43.

[21] Wang T#, Yang K#, Zhang X#, Luo J, XuR, Wang X, Yang Y,Bai X, Ma Y*, Yan Y*,Jiao L*. Endovascular therapy for symptomatic intracranialartery stenosis:a systematic review and network meta-analysis. Transl StrokeRes. 2022. 13(5):676-685.

[22] Liu YH#, Lu YK#, Liu XT, Li YL, Hu LK, Gao HY,Yang K*,Yan YX*. Association of household solid fuel use and long-termexposure to PM2.5with arthritis in middle-aged and older populationin China: a cohort study.Ecotoxicol Environ Saf. 2022; 230: 113104.

[23] Yan YX*,Xiao HB, Lu YK, Sun Y, Wang S, Dong J, Wu LJ*.hsa_circ_0111707 is associated with risk of stress-related type2 diabetes viasponging miR-144-3p. Front Endocrinol (Lausanne). 2022; 12:790591.

[24] Chen N#, Zhang XY#, Ma LL, ZhaoGD, Yan YX*. Trends ofcancer mortality in Xi'an City, China: 2005-2020. J Cancer Res Clin Oncol.2022. 148(10): 2781-92.

[25] Sun Y, Lu YK, Gao HY, Yan YX*.Effect of metaboliteslevels on type 2 diabetes mellitus and glycemic traits: a Mendelianrandomization study. J Clin Endocrinol Metab. 2021; 106(12): 3439–47. 

[26] Lu YK#, Chu X#, Wang S, Sun Y, Zhang J, Dong J, YanYX*. Identification of circulatinghsa_circ_0063425 and hsa_circ_0056891 asnovel biomarkers for detection of type2 diabetes. J Clin Endocrinol Metab.2021; 106(7): e2688-99.

[27] Yan YX*,Xiao HB, Zhang J, Wang S, Dong J, Wu LJ*.Pri-miR-144 rs9279 is associated withtype 2 diabetes and regulation of stressresponse. J Cell Physiol. 2021;236(1): 561-69.


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