TY - JOUR
T1 - Impact of commonly used drugs on the composition and metabolic function of the gut microbiota
AU - Vich Vila, Arnau
AU - Collij, Valerie
AU - Sanna, Serena
AU - Sinha, Trishla
AU - Imhann, Floris
AU - Bourgonje, Arno R
AU - Mujagic, Zlatan
AU - Jonkers, Daisy M A E
AU - Masclee, Ad A M
AU - Fu, Jingyuan
AU - Kurilshikov, Alexander
AU - Wijmenga, Cisca
AU - Zhernakova, Alexandra
AU - Weersma, Rinse K
PY - 2020/1/17
Y1 - 2020/1/17
N2 - The human gut microbiota has now been associated with drug responses and efficacy, while chemical compounds present in these drugs can also impact the gut bacteria. However, drug–microbe interactions are still understudied in the clinical context, where polypharmacy and comorbidities co-occur. Here, we report relations between commonly used drugs and the gut microbiome. We performed metagenomics sequencing of faecal samples from a population cohort and two gastrointestinal disease cohorts. Differences between users and non-users were analysed per cohort, followed by a meta-analysis. While 19 of 41 drugs are found to be associated with microbial features, when controlling for the use of multiple medications, proton-pump inhibitors, metformin, antibiotics and laxatives show the strongest associations with the microbiome. We here provide evidence for extensive changes in taxonomy, metabolic potential and resistome in relation to commonly used drugs. This paves the way for future studies and has implications for current microbiome studies by demonstrating the need to correct for multiple drug use.
AB - The human gut microbiota has now been associated with drug responses and efficacy, while chemical compounds present in these drugs can also impact the gut bacteria. However, drug–microbe interactions are still understudied in the clinical context, where polypharmacy and comorbidities co-occur. Here, we report relations between commonly used drugs and the gut microbiome. We performed metagenomics sequencing of faecal samples from a population cohort and two gastrointestinal disease cohorts. Differences between users and non-users were analysed per cohort, followed by a meta-analysis. While 19 of 41 drugs are found to be associated with microbial features, when controlling for the use of multiple medications, proton-pump inhibitors, metformin, antibiotics and laxatives show the strongest associations with the microbiome. We here provide evidence for extensive changes in taxonomy, metabolic potential and resistome in relation to commonly used drugs. This paves the way for future studies and has implications for current microbiome studies by demonstrating the need to correct for multiple drug use.
KW - PROTON PUMP INHIBITORS
KW - IRRITABLE-BOWEL-SYNDROME
KW - IDENTIFICATION
KW - RESISTANCE
KW - ARTHRITIS
U2 - 10.1038/s41467-019-14177-z
DO - 10.1038/s41467-019-14177-z
M3 - Article
C2 - 31953381
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 362
ER -