Evidence map›Paper›PMID 39553961›Full record

ArticlebioRxiv : the preprint server for biology2025

Complex system modelling reveals oxalate homeostasis is driven by diverse oxalate-degrading bacteria.

Sromona D Mukherjee, Carlos A Batagello, Ava Adler, Jose Agudelo, Anna Zampini, Mangesh Suryavanshi, Andrew Nguyen, Teri Orr, Denise Dearing, Manoj Monga and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

11 authors.

Sromona D MukherjeeDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, USA.
Carlos A BatagelloDivision of Urology, Hospital das Clínicas, University of Sao Paulo Medical School, Sao Paulo, Brazil.
Ava AdlerDepartment of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA.
Jose AgudeloDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, USA.
Anna ZampiniDepartment of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA.
Mangesh SuryavanshiDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, USA.
Andrew NguyenM Health Fairview Southdale Hospital, Edina, MN, USA.
Teri OrrDepartment of Biology, New Mexico State University, Las Cruces, NM, USA.
Denise DearingSchool of Biological Sciences, University of Utah, Salt Lake City, UT, USA.
Manoj MongaDepartment of Urology, University of California San Diego, San Diego, CA, USA.
Aaron W MillerDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0001-8342-1449

Funding

The role of acetogenic, methanogenic, and sulfate-reducing bacteria in oxalate metabolism and hyperoxaluriaR01DK121689 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI MILLER, AARON W · 2020 to 2024
$2.3M
NIDDK NIH HHS R01 DK121689
6 · The paper itself

Abstract

Decades of research have made clear that host-associated microbiomes touch all facets of health. However, effective therapies that target the microbiome have been elusive given its inherent complexity. Here, we experimentally examined diet-microbe-host interactions through a complex systems framework, centered on dietary oxalate. Using multiple, independent molecular, animal, and

Indexed as

antinutrientscomplex systemsdietary toxinsdiet-mirobe-hostfunctional redundancygut microbiomehomeostatic feedbackkidney stonesoxalateurinary stone disease

Identifiers

PMID39553961
PMCPMC11565779

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.