The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults
Air pollution and gut microbial abundance (GMA) are both closely related with asthma incidence. This study aims to explore significant interact on the risk of incident asthma in adult exist between GMA and PM2.5 exposure based on a prospective cohort of UK Biobank. Polygenic score of GMA was calcula...
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001848 |
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| author | Hehua Zhang Yong Feng Honghao Yang Yuqian Li Zheng Ma Liuxin Li Liangkai Chen Yuhong Zhao Lishen Shan Yang Xia |
| author_facet | Hehua Zhang Yong Feng Honghao Yang Yuqian Li Zheng Ma Liuxin Li Liangkai Chen Yuhong Zhao Lishen Shan Yang Xia |
| author_sort | Hehua Zhang |
| collection | DOAJ |
| description | Air pollution and gut microbial abundance (GMA) are both closely related with asthma incidence. This study aims to explore significant interact on the risk of incident asthma in adult exist between GMA and PM2.5 exposure based on a prospective cohort of UK Biobank. Polygenic score of GMA was calculated using 19 distinct single nucleotide polymorphisms. PM2.5 exposure was predicted using a validated Land Use Regression model. Incident asthma was identified by linking with medical encounters or first occurrence source. Cox proportional hazards regression models were used to evaluate the associations. Hazard ratios (HRs) and 95 % confidence intervals (CIs) were calculated. During an average follow-up of 11.4 years within 390,054 participants, a total of 11,312 asthma cases occurred with an incidence density of 2.54 per 1000 person years. Participants with the highest PM2.5 and GMA exposure were associated with a 13 % (HR = 1.13, 95 % CI: 1.05, 1.22; P for trend < 0.001) higher and 16 % (HR = 0.84, 95 %CI: 0.74, 0.94; P for trend < 0.01) lower risk of incident asthma, respectively. A significant negative additive interaction between GMA and PM2.5 exposure with the risk of incident asthma in adult was found (Relative Excess Risk due to Interaction = −0.08, 95 % CI, −0.16, −0.002). Participants with very high GMA and lowest PM2.5 exposure level were associated with a 26 % (HR = 0.74, 95 % CI: 0.57, 0.96) lower risk of incident asthma. A higher level of GMA has the potential to alleviate the detrimental effect of PM2.5 exposure on the risk of asthma in adults. Strategies targeting GMA, such as modifying diet and using probiotics supplement may be helpful for preventing asthma derived from PM2.5 exposure. |
| format | Article |
| id | doaj-art-edf9dfc5832042b18a41a7c8b6a2a523 |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-edf9dfc5832042b18a41a7c8b6a2a5232025-02-07T04:46:37ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117848The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adultsHehua Zhang0Yong Feng1Honghao Yang2Yuqian Li3Zheng Ma4Liuxin Li5Liangkai Chen6Yuhong Zhao7Lishen Shan8Yang Xia9Clinical Trials and Translation Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, ChinaDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaLiaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China; Corresponding author.Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Data Center, Shengjing Hospital of China Medical University, Shenyang, China; Corresponding author at: Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China.Air pollution and gut microbial abundance (GMA) are both closely related with asthma incidence. This study aims to explore significant interact on the risk of incident asthma in adult exist between GMA and PM2.5 exposure based on a prospective cohort of UK Biobank. Polygenic score of GMA was calculated using 19 distinct single nucleotide polymorphisms. PM2.5 exposure was predicted using a validated Land Use Regression model. Incident asthma was identified by linking with medical encounters or first occurrence source. Cox proportional hazards regression models were used to evaluate the associations. Hazard ratios (HRs) and 95 % confidence intervals (CIs) were calculated. During an average follow-up of 11.4 years within 390,054 participants, a total of 11,312 asthma cases occurred with an incidence density of 2.54 per 1000 person years. Participants with the highest PM2.5 and GMA exposure were associated with a 13 % (HR = 1.13, 95 % CI: 1.05, 1.22; P for trend < 0.001) higher and 16 % (HR = 0.84, 95 %CI: 0.74, 0.94; P for trend < 0.01) lower risk of incident asthma, respectively. A significant negative additive interaction between GMA and PM2.5 exposure with the risk of incident asthma in adult was found (Relative Excess Risk due to Interaction = −0.08, 95 % CI, −0.16, −0.002). Participants with very high GMA and lowest PM2.5 exposure level were associated with a 26 % (HR = 0.74, 95 % CI: 0.57, 0.96) lower risk of incident asthma. A higher level of GMA has the potential to alleviate the detrimental effect of PM2.5 exposure on the risk of asthma in adults. Strategies targeting GMA, such as modifying diet and using probiotics supplement may be helpful for preventing asthma derived from PM2.5 exposure.http://www.sciencedirect.com/science/article/pii/S0147651325001848Gut microbiomeAsthmaAir pollutionCohort studyPM2.5 |
| spellingShingle | Hehua Zhang Yong Feng Honghao Yang Yuqian Li Zheng Ma Liuxin Li Liangkai Chen Yuhong Zhao Lishen Shan Yang Xia The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults Ecotoxicology and Environmental Safety Gut microbiome Asthma Air pollution Cohort study PM2.5 |
| title | The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| title_full | The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| title_fullStr | The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| title_full_unstemmed | The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| title_short | The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| title_sort | interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults |
| topic | Gut microbiome Asthma Air pollution Cohort study PM2.5 |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001848 |
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