Gut microbiota associations with common diseases and prescription medications in a population-based cohort.
Gut microbiota associations with common diseases and prescription medications in a population-based cohort.
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DOI：
10.1038/s41467-018-05184-7
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发表时间：
2018-07-09
影响因子：
16.6
通讯作者：
Steves CJ
中科院分区：
文献类型：
--
作者：
Jackson MA;Verdi S;Maxan ME;Shin CM;Zierer J;Bowyer RCE;Martin T;Williams FMK;Menni C;Bell JT;Spector TD;Steves CJ
人类肠道微生物群与许多健康因素有关，但研究之间的差异限制了对它们之间影响的探索。肠道微生物区系图谱可用于表型较深的TwinsUK队列中的2700名成员，为此类比较提供了一个统一的平台。在这里，我们介绍了队列中38种常见疾病和51种药物的肠道微生物区系关联分析。我们描述了几种新的关联，强调了多种疾病之间的共同关联，并确定了哪些疾病和药物与肠道微生物区系有最大的关联。这些结果为今后研究肠道微生物群及其在人类健康中的作用提供了参考。人类肠道微生物群与许多健康因素有关，但研究之间的差异限制了对这些影响的探索。在这里，杰克逊等人。分析TwinsUK队列中2700名成员中38种常见疾病和51种药物的肠道微生物区系相关性。
The human gut microbiome has been associated with many health factors but variability between studies limits exploration of effects between them. Gut microbiota profiles are available for >2700 members of the deeply phenotyped TwinsUK cohort, providing a uniform platform for such comparisons. Here, we present gut microbiota association analyses for 38 common diseases and 51 medications within the cohort. We describe several novel associations, highlight associations common across multiple diseases, and determine which diseases and medications have the greatest association with the gut microbiota. These results provide a reference for future studies of the gut microbiome and its role in human health. The human gut microbiome has been associated with many health factors, but variability between studies limits exploration of these effects. Here, Jackson et al. analyse gut microbiota associations for 38 common diseases and 51 medications within >2700 members of the TwinsUK cohort.
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影响因子：
16.6
作者：
Duvallet C;Gibbons SM;Gurry T;Irizarry RA;Alm EJ
通讯作者：
Alm EJ
影响因子：
12.3
作者：
Lloyd-Price J;Abu-Ali G;Huttenhower C
通讯作者：
Huttenhower C
短期抗生素治疗对人类喉咙和肠道微生物群有不同的长期影响。
影响因子：
3.7
作者：
Jakobsson HE;Jernberg C;Andersson AF;Sjölund-Karlsson M;Jansson JK;Engstrand L
通讯作者：
Engstrand L
影响因子：
4.6
作者：
Pozuelo M;Panda S;Santiago A;Mendez S;Accarino A;Santos J;Guarner F;Azpiroz F;Manichanh C
通讯作者：
Manichanh C
影响因子：
30.3
作者：
Gevers D;Kugathasan S;Denson LA;Vázquez-Baeza Y;Van Treuren W;Ren B;Schwager E;Knights D;Song SJ;Yassour M;Morgan XC;Kostic AD;Luo C;González A;McDonald D;Haberman Y;Walters T;Baker S;Rosh J;Stephens M;Heyman M;Markowitz J;Baldassano R;Griffiths A;Sylvester F;Mack D;Kim S;Crandall W;Hyams J;Huttenhower C;Knight R;Xavier RJ
通讯作者：
Xavier RJ