• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Metabolomic characteristics of arsenic-associated diabetes in a prospective cohort in Chihuahua, Mexico.墨西哥奇瓦瓦州一个前瞻性队列中砷相关糖尿病的代谢组学特征
Toxicol Sci. 2015 Apr;144(2):338-46. doi: 10.1093/toxsci/kfu318. Epub 2015 Jan 9.
2
Exposure to arsenic in drinking water is associated with increased prevalence of diabetes: a cross-sectional study in the Zimapán and Lagunera regions in Mexico.饮用水中砷暴露与糖尿病患病率增加有关:墨西哥萨莫拉和拉古纳地区的一项横断面研究。
Environ Health. 2011 Aug 24;10:73. doi: 10.1186/1476-069X-10-73.
3
Associations between arsenic species in exfoliated urothelial cells and prevalence of diabetes among residents of Chihuahua, Mexico.墨西哥奇瓦瓦州居民脱落尿路上皮细胞中砷物种与糖尿病患病率之间的关联。
Environ Health Perspect. 2014 Oct;122(10):1088-94. doi: 10.1289/ehp.1307756. Epub 2014 Jun 27.
4
An atlas of metallome and metabolome interactions and associations with incident diabetes in the Strong Heart Family Study.《强心家族研究中金属组学和代谢组学相互作用及与糖尿病发病的关联图谱》
Environ Int. 2021 Dec;157:106810. doi: 10.1016/j.envint.2021.106810. Epub 2021 Aug 5.
5
Neonatal Metabolomic Profiles Related to Prenatal Arsenic Exposure.与产前砷暴露相关的新生儿代谢组学特征
Environ Sci Technol. 2017 Jan 3;51(1):625-633. doi: 10.1021/acs.est.6b04374. Epub 2016 Dec 20.
6
Prenatal arsenic exposure and shifts in the newborn proteome: interindividual differences in tumor necrosis factor (TNF)-responsive signaling.产前砷暴露与新生儿蛋白质组变化:肿瘤坏死因子(TNF)反应信号的个体间差异。
Toxicol Sci. 2014 Jun;139(2):328-37. doi: 10.1093/toxsci/kfu053. Epub 2014 Mar 27.
7
Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure.三价砷甲基转移酶基因敲除小鼠的代谢组学特征:性别和砷暴露的影响。
Arch Toxicol. 2017 Jan;91(1):189-202. doi: 10.1007/s00204-016-1676-0. Epub 2016 Feb 16.
8
Maternal arsenic exposure, arsenic methylation efficiency, and birth outcomes in the Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Mexico.墨西哥砷暴露生物标志物(BEAR)妊娠队列中的母亲砷暴露、砷甲基化效率与出生结局
Environ Health Perspect. 2015 Feb;123(2):186-92. doi: 10.1289/ehp.1307476. Epub 2014 Oct 17.
9
A concurrent exposure to arsenic and fluoride from drinking water in Chihuahua, Mexico.墨西哥奇瓦瓦州饮用水中同时存在砷和氟化物暴露的情况。
Int J Environ Res Public Health. 2015 Apr 24;12(5):4587-601. doi: 10.3390/ijerph120504587.
10
One-carbon metabolism nutrient intake and the association between body mass index and urinary arsenic metabolites in adults in the Chihuahua cohort.成年人中碳代谢营养物摄入与体重指数和尿液砷代谢物之间的关系:奇瓦瓦队列研究。
Environ Int. 2019 Feb;123:292-300. doi: 10.1016/j.envint.2018.12.004. Epub 2018 Dec 13.

引用本文的文献

1
Metabolic Signature of Arsenic Exposure and Metabolism: The Folic Acid and Creatine Trial.砷暴露与代谢的代谢特征:叶酸与肌酸试验
Environ Sci Technol. 2025 Jul 29;59(29):14905-14916. doi: 10.1021/acs.est.5c01597. Epub 2025 Jul 16.
2
Glycemic Changes Related to Arsenic Exposure: An Overview of Animal and Human Studies.与砷暴露相关的血糖变化:动物和人体研究综述
Nutrients. 2024 Feb 27;16(5):665. doi: 10.3390/nu16050665.
3
Analysis of Relationships between Metabolic Changes and Selected Nutrient Intake in Women Environmentally Exposed to Arsenic.环境砷暴露女性代谢变化与特定营养素摄入之间的关系分析
Metabolites. 2024 Jan 22;14(1):75. doi: 10.3390/metabo14010075.
4
Metabolomics: a promising tool for deciphering metabolic impairment in heavy metal toxicities.代谢组学:一种用于解读重金属毒性中代谢损伤的有前景的工具。
Front Mol Biosci. 2023 Jul 6;10:1218497. doi: 10.3389/fmolb.2023.1218497. eCollection 2023.
5
Disease-associated metabolic pathways affected by heavy metals and metalloid.受重金属和类金属影响的疾病相关代谢途径。
Toxicol Rep. 2023 Apr 24;10:554-570. doi: 10.1016/j.toxrep.2023.04.010. eCollection 2023.
6
Arsenic and Diabetes Mellitus: A Putative Role for the Immune System.砷与糖尿病:免疫系统的潜在作用。
All Life. 2023;16(1). doi: 10.1080/26895293.2023.2167869. Epub 2023 Feb 1.
7
Alterations in Microbial-Associated Fecal Metabolites in Relation to Arsenic Exposure Among Infants.婴儿中与砷暴露相关的微生物粪便代谢物变化
Expo Health. 2022 Dec;14(4):941-949. doi: 10.1007/s12403-022-00468-2. Epub 2022 Feb 3.
8
Metabolomic changes associated with chronic arsenic exposure in a Bangladeshi population.与孟加拉国人群慢性砷暴露相关的代谢组学变化。
Chemosphere. 2023 Apr;320:137998. doi: 10.1016/j.chemosphere.2023.137998. Epub 2023 Feb 4.
9
Biochemical profiling of metabolomics in heavy metal-intoxicated impaired metabolism and its amelioration using plant-based bioactive compound.重金属中毒导致代谢受损的代谢组学生化分析及其基于植物的生物活性化合物改善作用
Front Mol Biosci. 2022 Oct 18;9:1029729. doi: 10.3389/fmolb.2022.1029729. eCollection 2022.
10
Metabolome-Wide Association Study of Multiple Plasma Metals with Serum Metabolomic Profile among Middle-to-Older-Aged Chinese Adults.中国中老年人群体中多种血浆金属与血清代谢组学特征的代谢组关联研究。
Environ Sci Technol. 2022 Nov 15;56(22):16001-16011. doi: 10.1021/acs.est.2c05547. Epub 2022 Oct 21.

本文引用的文献

1
Associations between arsenic species in exfoliated urothelial cells and prevalence of diabetes among residents of Chihuahua, Mexico.墨西哥奇瓦瓦州居民脱落尿路上皮细胞中砷物种与糖尿病患病率之间的关联。
Environ Health Perspect. 2014 Oct;122(10):1088-94. doi: 10.1289/ehp.1307756. Epub 2014 Jun 27.
2
Environmental chemicals and type 2 diabetes: an updated systematic review of the epidemiologic evidence.环境化学物质与 2 型糖尿病:流行病学证据的更新系统评价。
Curr Diab Rep. 2013 Dec;13(6):831-49. doi: 10.1007/s11892-013-0432-6.
3
Alteration of bile acid metabolism in the rat induced by chronic ethanol consumption.慢性乙醇摄入诱导大鼠胆汁酸代谢改变。
FASEB J. 2013 Sep;27(9):3583-93. doi: 10.1096/fj.13-231860. Epub 2013 May 24.
4
A quick look at biochemistry: carbohydrate metabolism.快速浏览生物化学:碳水化合物代谢。
Clin Biochem. 2013 Oct;46(15):1339-52. doi: 10.1016/j.clinbiochem.2013.04.027. Epub 2013 May 14.
5
Exploring links between arsenic and diabetes, with Ana Navas-Acien. Interview by Ashley Ahearn.与安娜·纳瓦斯 - 阿西恩一同探索砷与糖尿病之间的联系。阿什利·阿赫恩采访。
Environ Health Perspect. 2012 Nov;120(11). doi: 10.1289/ehp.trp110112.
6
Methylated trivalent arsenicals are potent inhibitors of glucose stimulated insulin secretion by murine pancreatic islets.甲基化三价砷化合物强烈抑制胰岛的葡萄糖刺激的胰岛素分泌。
Toxicol Appl Pharmacol. 2013 Feb 15;267(1):11-5. doi: 10.1016/j.taap.2012.12.007. Epub 2012 Dec 20.
7
Quantitative metabolomic and lipidomic profiling reveals aberrant amino acid metabolism in type 2 diabetes.定量代谢组学和脂质组学分析揭示2型糖尿病中异常的氨基酸代谢。
Mol Biosyst. 2013 Feb 2;9(2):307-17. doi: 10.1039/c2mb25384d. Epub 2012 Dec 18.
8
Intakes of several nutrients are associated with incidence of arsenic-related keratotic skin lesions in Bangladesh.在孟加拉国,几种营养素的摄入量与砷相关性角化皮肤损伤的发病有关。
J Nutr. 2012 Dec;142(12):2128-34. doi: 10.3945/jn.112.165720. Epub 2012 Oct 17.
9
Arsenic exposure and cardiovascular disease: an updated systematic review.砷暴露与心血管疾病:一项更新的系统评价。
Curr Atheroscler Rep. 2012 Dec;14(6):542-55. doi: 10.1007/s11883-012-0280-x.
10
Evaluation of the association between arsenic and diabetes: a National Toxicology Program workshop review.砷与糖尿病关联性的评估:美国国家毒理学计划研讨会综述。
Environ Health Perspect. 2012 Dec;120(12):1658-70. doi: 10.1289/ehp.1104579. Epub 2012 Aug 10.

墨西哥奇瓦瓦州一个前瞻性队列中砷相关糖尿病的代谢组学特征

Metabolomic characteristics of arsenic-associated diabetes in a prospective cohort in Chihuahua, Mexico.

作者信息

Martin Elizabeth, González-Horta Carmen, Rager Julia, Bailey Kathryn A, Sánchez-Ramírez Blanca, Ballinas-Casarrubias Lourdes, Ishida María C, Gutiérrez-Torres Daniela S, Hernández Cerón Roberto, Viniegra Morales Damián, Baeza Terrazas Francisco A, Saunders R Jesse, Drobná Zuzana, Mendez Michelle A, Buse John B, Loomis Dana, Jia Wei, García-Vargas Gonzalo G, Del Razo Luz M, Stýblo Miroslav, Fry Rebecca

机构信息

*Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México, Colegio de Médicos Cirujanos y Homeópatas del Estado de Chihuahua, A.C., Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, International Agency for Research of Cancer, Monographs Section, IARC/WHO, Lyon Cedex, France, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, Facultad de Medicina, Universidad Juárez del Estado de Durango, Gómez Palacio, Durango, México and Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, México DF, México.

*Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México, Colegio de Médicos Cirujanos y Homeópatas del Estado de Chihuahua, A.C., Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, International Agency for Research of Cancer, Monographs Section, IARC/WHO, Lyon Cedex, France, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, Facultad de Medicina, Universidad Juárez del Estado de Durango, Gómez Palacio, Durango, México and Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, México DF, México

出版信息

Toxicol Sci. 2015 Apr;144(2):338-46. doi: 10.1093/toxsci/kfu318. Epub 2015 Jan 9.

DOI:10.1093/toxsci/kfu318
PMID:25577196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4372663/
Abstract

Chronic exposure to inorganic arsenic (iAs) has been linked to an increased risk of diabetes, yet the specific disease phenotype and underlying mechanisms are poorly understood. In the present study we set out to identify iAs exposure-associated metabolites with altered abundance in nondiabetic and diabetic individuals in an effort to understand the relationship between exposure, metabolomic response, and disease status. A nested study design was used to profile metabolomic shifts in urine and plasma collected from 90 diabetic and 86 nondiabetic individuals matched for varying iAs concentrations in drinking water, body mass index, age, and sex. Diabetes diagnosis was based on measures of fasting plasma glucose and 2-h blood glucose. Multivariable models were used to identify metabolites with altered abundance associated with iAs exposure among diabetic and nondiabetic individuals. A total of 132 metabolites were identified to shift in urine or plasma in response to iAs exposure characterized by the sum of iAs metabolites in urine (U-tAs). Although many metabolites were altered in both diabetic and nondiabetic 35 subjects, diabetic individuals displayed a unique response to iAs exposure with 59 altered metabolites including those that play a role in tricarboxylic acid cycle and amino acid metabolism. Taken together, these data highlight the broad impact of iAs exposure on the human metabolome, and demonstrate some specificity of the metabolomic response between diabetic and nondiabetic individuals. These data may provide novel insights into the mechanisms and phenotype of diabetes associated with iAs exposure.

摘要

长期接触无机砷(iAs)与糖尿病风险增加有关,但具体的疾病表型和潜在机制尚不清楚。在本研究中,我们试图识别非糖尿病和糖尿病个体中丰度发生变化的与iAs暴露相关的代谢物,以了解暴露、代谢组学反应和疾病状态之间的关系。采用嵌套研究设计,对从90名糖尿病患者和86名非糖尿病患者收集的尿液和血浆中的代谢组学变化进行分析,这些患者在饮用水中的iAs浓度、体重指数、年龄和性别方面相匹配。糖尿病诊断基于空腹血糖和2小时血糖测量。使用多变量模型来识别糖尿病和非糖尿病个体中与iAs暴露相关的丰度发生变化的代谢物。总共鉴定出132种代谢物在尿液或血浆中因iAs暴露而发生变化,以尿液中iAs代谢物总和(U-tAs)为特征。虽然许多代谢物在糖尿病和非糖尿病受试者中均发生了变化,但糖尿病个体对iAs暴露表现出独特的反应,有59种代谢物发生了变化,包括那些在三羧酸循环和氨基酸代谢中起作用的代谢物。综上所述,这些数据突出了iAs暴露对人类代谢组的广泛影响,并证明了糖尿病和非糖尿病个体之间代谢组学反应的一些特异性。这些数据可能为与iAs暴露相关的糖尿病的机制和表型提供新的见解。