Evidence map›Paper›PMID 41503038›Full record

ArticleFrontiers in cellular and infection microbiology2025

Involvement of HemI, an ECF sigma factor, in hemin acquisition and antibiotic susceptibility in

Chun-Hsing Liao, Ren-Hsuan Ku, Hsu-Feng Lu, En-Wei Hu, Li-Hua Li, Tsuey-Ching Yang

Abstract read
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In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Infection and drug resistance · 2026
    Review
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.

Chun-Hsing Liao *Division of Infectious Disease, Far Eastern Memorial Hospital, New Taipei City, Taiwan, R.O.C.
Ren-Hsuan Ku *Department of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, R.O.C.
Hsu-Feng LuDepartment of Medical Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan, R.O.C.
En-Wei HuDepartment of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, R.O.C.
Li-Hua LiDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
Tsuey-Ching YangDepartment of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, R.O.C.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemin is a major source of iron for pathogens in infectious niches. The FecIRA-like surface signaling cascade is a common regulatory system for iron acquisition by pathogens. This system consists of a FecA-like TonB-dependent transporter (TBDT), a FecR-like inner membrane anti-sigma factor, and a FecI-like extracytoplasmic function (ECF) sigma factor. Beyond iron acquisition, FecIRA-like systems have been reported to regulate additional physiological processes. The known hemin acquisition system in Methods: The regulatory role of HemI was examined using promoter- Results: The Conclusion: HemI, a novel ECF sigma factor, not only regulates hemin acquisition but also contributes to antibiotic susceptibility under iron-limited and hemin-available conditions.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsHeminSigma FactorStenotrophomonas maltophiliaDrug Resistance, BacterialGene Expression Regulation, BacterialIronMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial ProteinsHeminIronSigma FactorHemIhemin acquisitionHemRsigma factorStenotrophomonas maltophiliasurface signaling cascade

Identifiers

PMID41503038
PMCPMC12772443

What OpenQuestion holds

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LicenceCC BY
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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.