揭示法属波利尼西亚人类健康的决定因素:MATAEA 项目。

Frontiers in epidemiology Pub Date : 2023-11-27 eCollection Date: 2023-01-01 DOI:10.3389/fepid.2023.1201038
Iotefa Teiti, Maite Aubry, Sandrine Fernandes-Pellerin, Etienne Patin, Yoann Madec, Pauline Boucheron, Jessica Vanhomwegen, Jérémie Torterat, Stéphane Lastère, Sophie Olivier, Anthony Jaquaniello, Maguelonne Roux, Vincent Mendiboure, Christine Harmant, Aurélie Bisiaux, Gaston Rijo de León, Dang Liu, Hervé Bossin, Françoise Mathieu-Daudé, Clémence Gatti, Edouard Suhas, Kiyojiken Chung, Bertrand Condat, Pierre Ayotte, Eric Conte, Nathalie Jolly, Jean-Claude Manuguerra, Anavaj Sakuntabhai, Arnaud Fontanet, Lluis Quintana-Murci, Van-Mai Cao-Lormeau
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引用次数: 0

摘要

背景:法属波利尼西亚(French Polynesia)是法国在东南太平洋的海外领地,由五个群岛中 75 个有人居住的岛屿组成。人类在该地区定居的时间与人类最后一次向空旷地区大规模迁徙的时间相吻合,但其时间仍有争议。尽管法属波利尼西亚的人口历史较短,且地理位置与世隔绝,但其居民的健康问题与大陆国家的居民类似。现代生活方式和寿命的延长导致肥胖、糖尿病、高血压和心血管疾病等非传染性疾病(NCDs)的增加。同样,国际贸易和人员流动也导致了传染性疾病(CDs)的出现,包括蚊子传播的疾病和呼吸道疾病。此外,包括急性风湿热、肝病和雪卡毒在内的慢性病在法属波利尼西亚也非常普遍。然而,有关这些疾病的数据很少,而且不能代表人口的地域分布情况:本项目旨在估算五大群岛人口中几种非传染性疾病和传染性疾病的发病率,并确定相关的风险因素。此外,遗传分析将有助于确定法属波利尼西亚人口迁移史的顺序和时间,并找出过去对岛屿环境的遗传适应与当今对某些疾病的易感性之间的因果联系:这项横断面调查随机选取了居住在五个群岛中18个岛屿上的2100名18-69岁的成年人。每位参与者都回答了一份内容广泛的调查问卷(包括人口特征、生活习惯和病史),接受了身体测量(身高、体重、腰围、动脉压和皮肤色素沉着),并提供了生物样本(血液、唾液和粪便)以进行生物学、遗传学和微生物学分析:本项目首次在法属波利尼西亚收集了广泛的数据,以探讨是否存在与公共卫生有关的多种病症的指标和/或风险因素。研究结果将有助于卫生部门调整行动和预防措施,以降低非传染性疾病和慢性疾病的发病率。此外,这项研究产生的新基因组数据与人类学数据相结合,将加深我们对法属波利尼西亚人口历史的了解。临床试验注册:https://clinicaltrials.gov/,标识符:NCT06133400:NCT06133400。
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Unravelling the determinants of human health in French Polynesia: the MATAEA project.

Background: French Polynesia is a French overseas collectivity in the Southeast Pacific, comprising 75 inhabited islands across five archipelagoes. The human settlement of the region corresponds to the last massive migration of humans to empty territories, but its timeline is still debated. Despite their recent population history and geographical isolation, inhabitants of French Polynesia experience health issues similar to those of continental countries. Modern lifestyles and increased longevity have led to a rise in non-communicable diseases (NCDs) such as obesity, diabetes, hypertension, and cardiovascular diseases. Likewise, international trade and people mobility have caused the emergence of communicable diseases (CDs) including mosquito-borne and respiratory diseases. Additionally, chronic pathologies including acute rheumatic fever, liver diseases, and ciguatera, are highly prevalent in French Polynesia. However, data on such diseases are scarce and not representative of the geographic fragmentation of the population.

Objectives: The present project aims to estimate the prevalence of several NCDs and CDs in the population of the five archipelagoes, and identify associated risk factors. Moreover, genetic analyses will contribute to determine the sequence and timings of the peopling history of French Polynesia, and identify causal links between past genetic adaptation to island environments, and present-day susceptibility to certain diseases.

Methods: This cross-sectional survey is based on the random selection of 2,100 adults aged 18-69 years and residing on 18 islands from the five archipelagoes. Each participant answered a questionnaire on a wide range of topics (including demographic characteristics, lifestyle habits and medical history), underwent physical measurements (height, weight, waist circumference, arterial pressure, and skin pigmentation), and provided biological samples (blood, saliva, and stool) for biological, genetic and microbiological analyses.

Conclusion: For the first time in French Polynesia, the present project allows to collect a wide range of data to explore the existence of indicators and/or risk factors for multiple pathologies of public health concern. The results will help health authorities to adapt actions and preventive measures aimed at reducing the incidence of NCDs and CDs. Moreover, the new genomic data generated in this study, combined with anthropological data, will increase our understanding of the peopling history of French Polynesia.

Clinical trial registration: https://clinicaltrials.gov/, identifier: NCT06133400.

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