Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles
Several gastrointestinal diseases show a sex imbalance, although the underlying (patho)physiological mechanisms behind this are not well understood. The gut microbiome may be involved in this process, forming a complex interaction with host immune system, sex hormones, medication and other environme...
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| Published in: | Gut microbes 2019-01, Vol.10 (3), p.358-366 |
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Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles |
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Sinha, Trishla Vich Vila, Arnau Garmaeva, Sanzhima Jankipersadsing, Soesma A. Imhann, Floris Collij, Valerie Bonder, Marc Jan Jiang, Xiaofang Gurry, Thomas Alm, Eric J. D'Amato, Mauro Weersma, Rinse K. Scherjon, Sicco Wijmenga, Cisca Fu, Jingyuan Kurilshikov, Alexander Zhernakova, Alexandra |
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Adolescent Adult Aged Aged, 80 and over Anti-Bacterial Agents - pharmacology Biodiversity Drug Resistance, Microbial - genetics Feces - microbiology Female female hormonal factors Gastrointestinal Microbiome - genetics Genes, Bacterial - genetics gut microbiome gut resistome Humans Irritable Bowel Syndrome - microbiology Lincosamides - pharmacology Male Medicin och hälsovetenskap Metagenome - genetics Middle Aged Prospective Studies Research Paper/Report sex differences Sex Factors Young Adult |
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Gut microbes, 2019-01, Vol.10 (3), p.358-366 |
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Several gastrointestinal diseases show a sex imbalance, although the underlying (patho)physiological mechanisms behind this are not well understood. The gut microbiome may be involved in this process, forming a complex interaction with host immune system, sex hormones, medication and other environmental factors. Here we performed sex-specific analyses of fecal microbiota composition in 1135 individuals from a population-based cohort. The overall gut microbiome composition of females and males was significantly different (p = 0.001), with females showing a greater microbial diversity (p = 0.009). After correcting for the effects of intrinsic factors, smoking, diet and medications, female hormonal factors such as the use of oral contraceptives and undergoing an ovariectomy were associated with microbial species and pathways. Females had a higher richness of antibiotic-resistance genes, with the most notable being resistance to the lincosamide nucleotidyltransferase (LNU) gene family. The higher abundance of resistance genes is consistent with the greater prescription of the Macrolide-Lincosamide-Streptogramin classes of antibiotics to females. Furthermore, we observed an increased resistance to aminoglycosides in females with self-reported irritable bowel syndrome. These results throw light upon the effects of common medications that are differentially prescribed between sexes and highlight the importance of sex-specific analysis when studying the gut microbiome and resistome. |
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The gut microbiome may be involved in this process, forming a complex interaction with host immune system, sex hormones, medication and other environmental factors. Here we performed sex-specific analyses of fecal microbiota composition in 1135 individuals from a population-based cohort. The overall gut microbiome composition of females and males was significantly different (p = 0.001), with females showing a greater microbial diversity (p = 0.009). After correcting for the effects of intrinsic factors, smoking, diet and medications, female hormonal factors such as the use of oral contraceptives and undergoing an ovariectomy were associated with microbial species and pathways. Females had a higher richness of antibiotic-resistance genes, with the most notable being resistance to the lincosamide nucleotidyltransferase (LNU) gene family. The higher abundance of resistance genes is consistent with the greater prescription of the Macrolide-Lincosamide-Streptogramin classes of antibiotics to females. Furthermore, we observed an increased resistance to aminoglycosides in females with self-reported irritable bowel syndrome. 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The higher abundance of resistance genes is consistent with the greater prescription of the Macrolide-Lincosamide-Streptogramin classes of antibiotics to females. Furthermore, we observed an increased resistance to aminoglycosides in females with self-reported irritable bowel syndrome. 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The gut microbiome may be involved in this process, forming a complex interaction with host immune system, sex hormones, medication and other environmental factors. Here we performed sex-specific analyses of fecal microbiota composition in 1135 individuals from a population-based cohort. The overall gut microbiome composition of females and males was significantly different (p = 0.001), with females showing a greater microbial diversity (p = 0.009). After correcting for the effects of intrinsic factors, smoking, diet and medications, female hormonal factors such as the use of oral contraceptives and undergoing an ovariectomy were associated with microbial species and pathways. Females had a higher richness of antibiotic-resistance genes, with the most notable being resistance to the lincosamide nucleotidyltransferase (LNU) gene family. The higher abundance of resistance genes is consistent with the greater prescription of the Macrolide-Lincosamide-Streptogramin classes of antibiotics to females. Furthermore, we observed an increased resistance to aminoglycosides in females with self-reported irritable bowel syndrome. These results throw light upon the effects of common medications that are differentially prescribed between sexes and highlight the importance of sex-specific analysis when studying the gut microbiome and resistome.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>30373468</pmid><doi>10.1080/19490976.2018.1528822</doi><orcidid>https://orcid.org/0000-0001-5578-1236</orcidid><orcidid>https://orcid.org/0000-0003-4691-5583</orcidid><orcidid>https://orcid.org/0000-0003-2743-5197</orcidid><orcidid>https://orcid.org/0000-0003-3743-1544</orcidid><orcidid>https://orcid.org/0000-0001-7928-7371</orcidid><orcidid>https://orcid.org/0000-0002-0992-7983</orcidid><orcidid>https://orcid.org/0000-0002-5635-1614</orcidid><orcidid>https://orcid.org/0000-0002-8639-1860</orcidid><orcidid>https://orcid.org/0000-0002-4574-0841</orcidid><orcidid>https://orcid.org/0000-0002-6902-1235</orcidid><orcidid>https://orcid.org/0000-0002-8431-3180</orcidid><orcidid>https://orcid.org/0000-0001-9225-9236</orcidid><orcidid>https://orcid.org/0000-0001-5278-903X</orcidid><orcidid>https://orcid.org/0000-0003-2541-5627</orcidid><orcidid>https://orcid.org/0000-0001-8294-9364</orcidid><oa>free_for_read</oa></addata></record> |