Evidence map›Paper›PMID 31998605›Full record

ReviewActa pharmaceutica Sinica. B2020

The gut microbiome: an orchestrator of xenobiotic metabolism.

Stephanie L Collins, Andrew D Patterson

Open access · diamondAbstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

144 citing papers in PubMed, 310 citations in OpenAlex.

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84 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Stephanie L CollinsDepartment of Biochemistry, Microbiology, and Molecular Biology, the Pennsylvania State University, University Park, PA 16802, USA.
Andrew D PattersonDepartment of Veterinary and Biomedical Science, the Pennsylvania State University, University Park, PA 16802, USA.
Pennsylvania State University · US

Funding

Environmental Ah Receptor Ligand Impact on the Host-Microbiome Metabolic AxisR01ES028288 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2017 to 2021
$1.7M
NIEHS NIH HHS R01 ES028288
6 · The paper itself

Abstract

Microbes inhabiting the intestinal tract of humans represent a site for xenobiotic metabolism. The gut microbiome, the collection of microorganisms in the gastrointestinal tract, can alter the metabolic outcome of pharmaceuticals, environmental toxicants, and heavy metals, thereby changing their pharmacokinetics. Direct chemical modification of xenobiotics by the gut microbiome, either through the intestinal tract or re-entering the gut

Indexed as

5-ASA, 5-aminosalicylic acid5-FU, 5-fluorouracilAbsorptionAHR, aryl Hydrocarbon ReceptorALDH, aldehyde dehydrogenaseBDE, bromodiphenyl etherBioactivationBRV, brivudineBVU, bromovinyluracilCAR, constitutive androgen receptorcgr, cytochrome glycoside reductaseCV, conventionalCYP, cytochrome P450Enterohepatic circulationER, estrogen receptorFXR, farnesoid X receptorGastrointestinal tractGF, germ-freeGUDCA, glycoursodeoxycholic acidGut microbiomeNSAID, non-steroidal anti-inflammatory drugPABA, p-aminobenzenesulphonamidePAH, polycyclic aromatic hydrocarbonPCB, polychlorinated biphenylPD, Parkinson's diseasePFOS, perfluorooctanesulfonic acidPharmacokineticsPXR, pregnane X receptorSCFA, short chain fatty acidSN-38G, SN-38 glucuronideSULT, sulfotransferaseTCDF, 2,3,7,8-tetrachlorodibenzofuranTUDCA, tauroursodeoxycholic acidUGT, uracil diphosphate-glucuronosyltransferaseXenobiotic metabolism

Identifiers

PMID31998605
PMCPMC6984741
OpenAlexW2996234046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.