Integrated multi-omics analysis reveals a pH-driven metabolic and translational switch in

Hiroaki Hase, Yukiko Nakura, Yuki Shimada, Atsuko Nishino, Michiko Kodama, Itaru Yanagihara

Abstract read

In one paragraph

Article in Microbiology spectrum, 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

6 authors.

Hiroaki HaseLaboratory of Stem Cell Regeneration and Adaptation, Graduate School of Pharmaceutical Sciences, The University of Osaka, Suita, Osaka, Japan.ORCID 0000-0003-1172-2466

Yukiko NakuraDepartment of Developmental Medicine, Research Institute, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan.

Yuki ShimadaLaboratory of Stem Cell Regeneration and Adaptation, Graduate School of Pharmaceutical Sciences, The University of Osaka, Suita, Osaka, Japan.

Atsuko NishinoDepartment of Developmental Medicine, Research Institute, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan.

Michiko KodamaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Osaka, Suita, Osaka, Japan.

Itaru YanagiharaDepartment of Developmental Medicine, Research Institute, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan.ORCID 0000-0001-9882-8196

Funding

AMED JP230901007AMED JP25fk0108677MEXT KAKENHI JP25088336

6 · The paper itself

Abstract

Human ureaplasmas are minimal-genome bacteria and pathobionts of the urogenital tract. They must adapt to fluctuating pH conditions despite the absence of canonical transcriptional regulatory systems. However, the mechanisms underlying these responses remain unclear. This study aimed to construct a system-level model of pH adaptation in this minimal pathogen. We used an integrated multi-omics platform combining proteomics, metabolomics, and RNA modification profiling to construct a system-level model of pH adaptation. The results revealed a bifurcated strategy governed by the differential activation of preexisting, co-regulated functional modules. Under neutral pH conditions (pH 7),

Indexed as

Protein BiosynthesisUreaplasmaAdaptation, PhysiologicalBacterial ProteinsEnergy MetabolismGene Expression Regulation, BacterialHumansHydrogen-Ion ConcentrationMetabolomicsMultiomicsProteomicsUreaplasma InfectionsBacterial Proteinsmetabolomicsmulti-omicspH stressproteomicsRNA modificationUreaplasma parvum

Identifiers

PMID42429378

DOI10.1128/spectrum.03463-25

PMCPMC13436400

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.