Tyler M. Barrett, Georgia C. Titcomb, Mark M. Janko, Michelle Pender, Kayla Kauffman, Alma Solis, Maheriniaina Toky Randriamoria, Hillary S. Young, Peter J. Mucha, James Moody, Randall A. Kramer, Voahangy Soarimalala, Charles L. Nunn
{"title":"厘清马达加斯加东北部一种胃肠道原生动物(布氏囊虫属)的社会、环境和人畜共患传播途径","authors":"Tyler M. Barrett, Georgia C. Titcomb, Mark M. Janko, Michelle Pender, Kayla Kauffman, Alma Solis, Maheriniaina Toky Randriamoria, Hillary S. Young, Peter J. Mucha, James Moody, Randall A. Kramer, Voahangy Soarimalala, Charles L. Nunn","doi":"10.1002/ajpa.25030","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Understanding disease transmission is a fundamental challenge in ecology. We used transmission potential networks to investigate whether a gastrointestinal protozoan (<i>Blastocystis</i> spp.) is spread through social, environmental, and/or zoonotic pathways in rural northeast Madagascar.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>We obtained survey data, household GPS coordinates, and fecal samples from 804 participants. Surveys inquired about social contacts, agricultural activity, and sociodemographic characteristics. Fecal samples were screened for <i>Blastocystis</i> using DNA metabarcoding. We also tested 133 domesticated animals for <i>Blastocystis</i>. We used network autocorrelation models and permutation tests (network <i>k</i>-test) to determine whether networks reflecting different transmission pathways predicted infection.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified six distinct <i>Blastocystis</i> subtypes among study participants and their domesticated animals. Among the 804 human participants, 74% (<i>n</i> = 598) were positive for at least one <i>Blastocystis</i> subtype. Close proximity to infected households was the most informative predictor of infection with any subtype (model averaged OR [95% CI]: 1.56 [1.33–1.82]), and spending free time with infected participants was not an informative predictor of infection (model averaged OR [95% CI]: 0.95 [0.82–1.10]). No human participant was infected with the same subtype as the domesticated animals they owned.</p>\n </section>\n \n <section>\n \n <h3> Discussion</h3>\n \n <p>Our findings suggest that <i>Blastocystis</i> is most likely spread through environmental pathways within villages, rather than through social or animal contact. The most likely mechanisms involve fecal contamination of the environment by infected individuals or shared food and water sources. These findings shed new light on human-pathogen ecology and mechanisms for reducing disease transmission in rural, low-income settings.</p>\n </section>\n </div>","PeriodicalId":29759,"journal":{"name":"American Journal of Biological Anthropology","volume":"185 3","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disentangling social, environmental, and zoonotic transmission pathways of a gastrointestinal protozoan (Blastocystis spp.) in northeast Madagascar\",\"authors\":\"Tyler M. Barrett, Georgia C. Titcomb, Mark M. Janko, Michelle Pender, Kayla Kauffman, Alma Solis, Maheriniaina Toky Randriamoria, Hillary S. Young, Peter J. Mucha, James Moody, Randall A. Kramer, Voahangy Soarimalala, Charles L. Nunn\",\"doi\":\"10.1002/ajpa.25030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>Understanding disease transmission is a fundamental challenge in ecology. We used transmission potential networks to investigate whether a gastrointestinal protozoan (<i>Blastocystis</i> spp.) is spread through social, environmental, and/or zoonotic pathways in rural northeast Madagascar.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and Methods</h3>\\n \\n <p>We obtained survey data, household GPS coordinates, and fecal samples from 804 participants. Surveys inquired about social contacts, agricultural activity, and sociodemographic characteristics. Fecal samples were screened for <i>Blastocystis</i> using DNA metabarcoding. We also tested 133 domesticated animals for <i>Blastocystis</i>. We used network autocorrelation models and permutation tests (network <i>k</i>-test) to determine whether networks reflecting different transmission pathways predicted infection.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We identified six distinct <i>Blastocystis</i> subtypes among study participants and their domesticated animals. Among the 804 human participants, 74% (<i>n</i> = 598) were positive for at least one <i>Blastocystis</i> subtype. Close proximity to infected households was the most informative predictor of infection with any subtype (model averaged OR [95% CI]: 1.56 [1.33–1.82]), and spending free time with infected participants was not an informative predictor of infection (model averaged OR [95% CI]: 0.95 [0.82–1.10]). No human participant was infected with the same subtype as the domesticated animals they owned.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Discussion</h3>\\n \\n <p>Our findings suggest that <i>Blastocystis</i> is most likely spread through environmental pathways within villages, rather than through social or animal contact. The most likely mechanisms involve fecal contamination of the environment by infected individuals or shared food and water sources. These findings shed new light on human-pathogen ecology and mechanisms for reducing disease transmission in rural, low-income settings.</p>\\n </section>\\n </div>\",\"PeriodicalId\":29759,\"journal\":{\"name\":\"American Journal of Biological Anthropology\",\"volume\":\"185 3\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Biological Anthropology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ajpa.25030\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Biological Anthropology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ajpa.25030","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Disentangling social, environmental, and zoonotic transmission pathways of a gastrointestinal protozoan (Blastocystis spp.) in northeast Madagascar
Objectives
Understanding disease transmission is a fundamental challenge in ecology. We used transmission potential networks to investigate whether a gastrointestinal protozoan (Blastocystis spp.) is spread through social, environmental, and/or zoonotic pathways in rural northeast Madagascar.
Materials and Methods
We obtained survey data, household GPS coordinates, and fecal samples from 804 participants. Surveys inquired about social contacts, agricultural activity, and sociodemographic characteristics. Fecal samples were screened for Blastocystis using DNA metabarcoding. We also tested 133 domesticated animals for Blastocystis. We used network autocorrelation models and permutation tests (network k-test) to determine whether networks reflecting different transmission pathways predicted infection.
Results
We identified six distinct Blastocystis subtypes among study participants and their domesticated animals. Among the 804 human participants, 74% (n = 598) were positive for at least one Blastocystis subtype. Close proximity to infected households was the most informative predictor of infection with any subtype (model averaged OR [95% CI]: 1.56 [1.33–1.82]), and spending free time with infected participants was not an informative predictor of infection (model averaged OR [95% CI]: 0.95 [0.82–1.10]). No human participant was infected with the same subtype as the domesticated animals they owned.
Discussion
Our findings suggest that Blastocystis is most likely spread through environmental pathways within villages, rather than through social or animal contact. The most likely mechanisms involve fecal contamination of the environment by infected individuals or shared food and water sources. These findings shed new light on human-pathogen ecology and mechanisms for reducing disease transmission in rural, low-income settings.