Evidence map›Paper›PMID 42282812›Full record

ArticlebioRxiv : the preprint server for biology2026

Discovery of BilV reveals a multienzymatic basis for bilirubin reduction across vertebrate gut microbiomes.

Angela K Jiang, Maggie R Grant, Gabriela Arp, Keith Dufault-Thompson, Alexandra M Clarke, Yue Li, Danielle Lehman, Alan K Jarmusch, Brantley Hall, Xiaofang Jiang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Angela K JiangNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.ORCID 0009-0005-5525-6251
Maggie R GrantDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, College Park, MD, USA.ORCID 0000-0003-2607-9493
Gabriela ArpDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, College Park, MD, USA.ORCID 0009-0004-3819-5648
Keith Dufault-ThompsonNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-0991-2255
Alexandra M ClarkeDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, College Park, MD, USA.
Yue LiDepartment of Chemistry & Biochemistry, University of Maryland, College Park, MD, USA.
Danielle LehmanNational Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.
Alan K JarmuschNational Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.
Brantley HallDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, College Park, MD, USA.ORCID 0000-0001-7553-8209
Xiaofang JiangNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-0955-8284

Funding

Enzymatic Determinants of Gut Microbial Metabolic BiotransformationsR35GM155208 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI A. Brantley Hall · 2024 to 2026
$1.2M
NIGMS NIH HHS R35 GM155208
6 · The paper itself

Abstract

Gut bacteria reduce bilirubin to urobilinogen, allowing it to be excreted through feces and urine, but studies have long noted a heterogeneous mixture of partially reduced bilirubin-derived intermediates, suggesting that multiple enzymes are involved. Here we identify bilirubin vinyl reductase (BilV), a novel Old Yellow Enzyme family reductase encoded in the genomic neighborhood of the known bilirubin reductase (

Identifiers

PMID42282812
PMCPMC13252198

What OpenQuestion holds

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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.