Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda.
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| Title: | Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda. |
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| Authors: | Ching-Ying Huang1, Nuwagira, Edwin2, Tisza, Michael3,4, Kim, Minsik1,5, Tayebwa, Mellon2, Vieira, Jacob1, Lam, Nicholas6,7, Wallach, Eli7, Wiens, Matthew8,9, Tsai, Alexander C.1,5,10,11, Valeri, Linda12, Vallarino, Jose13, Allen, Joseph G.13, Lai, Peggy S.1,5,10,13 plai@mgh.harvard.edu |
| Source: | Environmental Health Perspectives. May2026, Vol. 134 Issue 1, p75-90. 16p. |
| Subject Terms: | *Indoor air pollution prevention, *Antibiotics, *Rural health, *Ecological impact, *Power resources, *Fossil fuels, *Environmental exposure, *Particulate matter, *Greenhouse gases, Gastrointestinal disease prevention, Respiratory disease prevention, Fecal analysis, Lighting, Pulmonary function tests, Respiratory organ sounds, Secondary analysis, Spirometry, Data analysis, Vital capacity (Respiration), Seasons, Gut microbiota, Questionnaires, Multiple regression analysis, Mann Whitney U Test, Descriptive statistics, Age distribution, Bioinformatics, Odds ratio, Respiratory organ physiology, Statistics, Forced expiratory volume, Women's health, Confidence intervals, Data analysis software, Cough, Dyspnea, Sensitivity & specificity (Statistics), Diet, Adults |
| Geographic Terms: | Uganda |
| Abstract: | BACKGROUND: Emerging observational studies suggest that air pollution can influence the gut microbiome. However, this association is often highly confounded by factors, such as diet and poverty. The gut virome may influence respiratory health independent of the gut microbiome. We recently demonstrated in a randomized waitlist-controlled trial (ClinicalTrials.gov NCT03351504) that a clean lighting intervention reduced the level of personal exposure to air pollution among adult women in rural Uganda. OBJECTIVES: To determine the effect of a solar lighting intervention on changes to the gut microbiome and virome and secondarily to determine the association between these changes on lung health. METHODS: Between 2018 and 2019, we collected stool samples and assessed respiratory symptoms and spirometry from 80 adult women living in rural Uganda at baseline and 12 and 18 months postrandomization. The intervention group received a solar lighting system after randomization, while the waitlist-controlled group received one at 12 months. Deep metagenomics sequencing of stool was performed and profiled for nonviral and viral taxonomic composition. The primary analysis focused on pre- vs postintervention changes due to power considerations, adjusting for potential confounding by age, diet, antibiotic use, and season. A sensitivity analysis was conducted using intention-to-treat principles. When comparing pre- vs postintervention periods, we used sparse partial least-squares models to identify nonviral and viral signatures of reduced air pollution exposure. Mixed effects models were used to evaluate changes in health outcomes as well as associations between microbial signatures of reduced air pollution exposure and health. RESULTS: The average age was 39.2 years. The solar lighting intervention led to larger changes in viral compared to nonviral microbial community structure and differential abundance of bacteria, eukaryotes, and viruses. Provision of solar lighting systems was associated with a reduction in the presence of respiratory symptoms from 57.1% to 36.1% (푝 = 0.002), while there was no impact on lung function. Microbiome and virome signatures had AUCs of 0.74 and 0.76, respectively, in predicting pre- vs postintervention stool samples. Microbiome signatures were associated with a lower risk of respiratory symptoms (OR = 0.68 (0.49 - 0.94), 푝 = 0.020). CONCLUSION: Among adult women living in rural Uganda, both nonviral and viral components of the gut microbial community changed after a clean lighting intervention. Microbiome signatures reflective of lower air pollution exposures were associated with improved respiratory symptoms. These observations suggest that air pollution may influence lung health through the gut-lung axis, warranting further exploration in future intervention studies. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ching-Ying+Huang%22">Ching-Ying Huang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nuwagira%2C+Edwin%22">Nuwagira, Edwin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tisza%2C+Michael%22">Tisza, Michael</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Minsik%22">Kim, Minsik</searchLink><relatesTo>1,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Tayebwa%2C+Mellon%22">Tayebwa, Mellon</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Vieira%2C+Jacob%22">Vieira, Jacob</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lam%2C+Nicholas%22">Lam, Nicholas</searchLink><relatesTo>6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Wallach%2C+Eli%22">Wallach, Eli</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Wiens%2C+Matthew%22">Wiens, Matthew</searchLink><relatesTo>8,9</relatesTo><br /><searchLink fieldCode="AR" term="%22Tsai%2C+Alexander+C%2E%22">Tsai, Alexander C.</searchLink><relatesTo>1,5,10,11</relatesTo><br /><searchLink fieldCode="AR" term="%22Valeri%2C+Linda%22">Valeri, Linda</searchLink><relatesTo>12</relatesTo><br /><searchLink fieldCode="AR" term="%22Vallarino%2C+Jose%22">Vallarino, Jose</searchLink><relatesTo>13</relatesTo><br /><searchLink fieldCode="AR" term="%22Allen%2C+Joseph+G%2E%22">Allen, Joseph G.</searchLink><relatesTo>13</relatesTo><br /><searchLink fieldCode="AR" term="%22Lai%2C+Peggy+S%2E%22">Lai, Peggy S.</searchLink><relatesTo>1,5,10,13</relatesTo><i> plai@mgh.harvard.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. May2026, Vol. 134 Issue 1, p75-90. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Indoor+air+pollution+prevention%22">Indoor air pollution prevention</searchLink><br />*<searchLink fieldCode="DE" term="%22Antibiotics%22">Antibiotics</searchLink><br />*<searchLink fieldCode="DE" term="%22Rural+health%22">Rural health</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Fossil+fuels%22">Fossil fuels</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br />*<searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br />*<searchLink fieldCode="DE" term="%22Greenhouse+gases%22">Greenhouse gases</searchLink><br /><searchLink fieldCode="DE" term="%22Gastrointestinal+disease+prevention%22">Gastrointestinal disease prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Respiratory+disease+prevention%22">Respiratory disease prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Fecal+analysis%22">Fecal analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Lighting%22">Lighting</searchLink><br /><searchLink fieldCode="DE" term="%22Pulmonary+function+tests%22">Pulmonary function tests</searchLink><br /><searchLink fieldCode="DE" term="%22Respiratory+organ+sounds%22">Respiratory organ sounds</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Spirometry%22">Spirometry</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Vital+capacity+%28Respiration%29%22">Vital capacity (Respiration)</searchLink><br /><searchLink fieldCode="DE" term="%22Seasons%22">Seasons</searchLink><br /><searchLink fieldCode="DE" term="%22Gut+microbiota%22">Gut microbiota</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Respiratory+organ+physiology%22">Respiratory organ physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Forced+expiratory+volume%22">Forced expiratory volume</searchLink><br /><searchLink fieldCode="DE" term="%22Women's+health%22">Women's health</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Cough%22">Cough</searchLink><br /><searchLink fieldCode="DE" term="%22Dyspnea%22">Dyspnea</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Diet%22">Diet</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Uganda%22">Uganda</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Emerging observational studies suggest that air pollution can influence the gut microbiome. However, this association is often highly confounded by factors, such as diet and poverty. The gut virome may influence respiratory health independent of the gut microbiome. We recently demonstrated in a randomized waitlist-controlled trial (ClinicalTrials.gov NCT03351504) that a clean lighting intervention reduced the level of personal exposure to air pollution among adult women in rural Uganda. OBJECTIVES: To determine the effect of a solar lighting intervention on changes to the gut microbiome and virome and secondarily to determine the association between these changes on lung health. METHODS: Between 2018 and 2019, we collected stool samples and assessed respiratory symptoms and spirometry from 80 adult women living in rural Uganda at baseline and 12 and 18 months postrandomization. The intervention group received a solar lighting system after randomization, while the waitlist-controlled group received one at 12 months. Deep metagenomics sequencing of stool was performed and profiled for nonviral and viral taxonomic composition. The primary analysis focused on pre- vs postintervention changes due to power considerations, adjusting for potential confounding by age, diet, antibiotic use, and season. A sensitivity analysis was conducted using intention-to-treat principles. When comparing pre- vs postintervention periods, we used sparse partial least-squares models to identify nonviral and viral signatures of reduced air pollution exposure. Mixed effects models were used to evaluate changes in health outcomes as well as associations between microbial signatures of reduced air pollution exposure and health. RESULTS: The average age was 39.2 years. The solar lighting intervention led to larger changes in viral compared to nonviral microbial community structure and differential abundance of bacteria, eukaryotes, and viruses. Provision of solar lighting systems was associated with a reduction in the presence of respiratory symptoms from 57.1% to 36.1% (푝 = 0.002), while there was no impact on lung function. Microbiome and virome signatures had AUCs of 0.74 and 0.76, respectively, in predicting pre- vs postintervention stool samples. Microbiome signatures were associated with a lower risk of respiratory symptoms (OR = 0.68 (0.49 - 0.94), 푝 = 0.020). CONCLUSION: Among adult women living in rural Uganda, both nonviral and viral components of the gut microbial community changed after a clean lighting intervention. Microbiome signatures reflective of lower air pollution exposures were associated with improved respiratory symptoms. These observations suggest that air pollution may influence lung health through the gut-lung axis, warranting further exploration in future intervention studies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/EHP.6c00064 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 75 Subjects: – SubjectFull: Indoor air pollution prevention Type: general – SubjectFull: Antibiotics Type: general – SubjectFull: Rural health Type: general – SubjectFull: Ecological impact Type: general – SubjectFull: Power resources Type: general – SubjectFull: Fossil fuels Type: general – SubjectFull: Environmental exposure Type: general – SubjectFull: Particulate matter Type: general – SubjectFull: Greenhouse gases Type: general – SubjectFull: Gastrointestinal disease prevention Type: general – SubjectFull: Respiratory disease prevention Type: general – SubjectFull: Fecal analysis Type: general – SubjectFull: Lighting Type: general – SubjectFull: Pulmonary function tests Type: general – SubjectFull: Respiratory organ sounds Type: general – SubjectFull: Secondary analysis Type: general – SubjectFull: Spirometry Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Vital capacity (Respiration) Type: general – SubjectFull: Seasons Type: general – SubjectFull: Gut microbiota Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Mann Whitney U Test Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Bioinformatics Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Respiratory organ physiology Type: general – SubjectFull: Statistics Type: general – SubjectFull: Forced expiratory volume Type: general – SubjectFull: Women's health Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Cough Type: general – SubjectFull: Dyspnea Type: general – SubjectFull: Sensitivity & specificity (Statistics) Type: general – SubjectFull: Diet Type: general – SubjectFull: Adults Type: general – SubjectFull: Uganda Type: general Titles: – TitleFull: Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ching-Ying Huang – PersonEntity: Name: NameFull: Nuwagira, Edwin – PersonEntity: Name: NameFull: Tisza, Michael – PersonEntity: Name: NameFull: Kim, Minsik – PersonEntity: Name: NameFull: Tayebwa, Mellon – PersonEntity: Name: NameFull: Vieira, Jacob – PersonEntity: Name: NameFull: Lam, Nicholas – PersonEntity: Name: NameFull: Wallach, Eli – PersonEntity: Name: NameFull: Wiens, Matthew – PersonEntity: Name: NameFull: Tsai, Alexander C. – PersonEntity: Name: NameFull: Valeri, Linda – PersonEntity: Name: NameFull: Vallarino, Jose – PersonEntity: Name: NameFull: Allen, Joseph G. – PersonEntity: Name: NameFull: Lai, Peggy S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 134 – Type: issue Value: 1 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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