Evidence map›Paper›PMID 42560181›Full record

ArticleInfection and immunity2026

Dual roles of genes required for intrinsic resistance to clarithromycin in evasion of killing by serum complement in

Cameron Huhn, Justine Dees, Jeffrey Gawronski, Asma Ul Taslim, Sandy Wong, Brian Akerley

Abstract read
In one paragraph

Article in Infection and immunity, 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.

Cameron HuhnDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, Mississippi, USA.ORCID 0000-0003-0421-2601
Justine DeesDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Jeffrey GawronskiDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Asma Ul TaslimDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Sandy WongDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, Mississippi, USA.ORCID 0009-0008-1698-6325
Brian AkerleyDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, Mississippi, USA.ORCID 0000-0002-8142-7035

Funding

Mechanisms of Haemophilus influenzae pathogenesis in the lungR01AI095740 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI AKERLEY, BRIAN, SHEN, HAO · 2012 to 2016
$1.8M
A novel Th17-enhancing adjuvant and conserved antigen for protection against viral/bacterial co-infectionR41AI188733 · NIAID · VISHENARY, LLC · PI Brian Akerley · 2025 to 2026
$592k
Omp26 as a Macrolide Synergistic Target against Nontypeable Haemophilus influenzaeF31AI197842 · NIAID · UNIVERSITY OF MISSISSIPPI MED CTR · PI Cameron Huhn · 2026 to 2026
$50k
NIAID NIH HHS F31 AI197842NIAID NIH HHS R01 AI095740NIAID NIH HHS R41 AI188733NIH HHS 1F31AI197842NIH HHS 1R41AI88733NIH HHS 1RO1AI095740
6 · The paper itself

Abstract

Macrolide antibiotics are commonly prescribed to treat

Indexed as

Anti-Bacterial AgentsClarithromycinComplement System ProteinsDrug Resistance, BacterialHaemophilus InfectionsHaemophilus influenzaeAnimalsBacterial ProteinsFemaleHumansLungMiceMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial ProteinsClarithromycinComplement System ProteinsclarithromycinHaemophilus influenzaeHITSlung infectionmouse modelNTHiomp26orfHserum resistanceTn-seq

Identifiers

PMID42560181
PMCPMC13552136

What OpenQuestion holds

Textmetadata
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.