Evidence map›Paper›PMID 38860999›Full record

ArticleArchives of microbiology2024

Membranome-based identification of amino acid substitution in Haemophilus influenzae multidrug efflux pump HmrM for reduced chloramphenicol susceptibility.

Cheng-Hsun Ho, Chi-Wei Chen, Pei-Yi Su

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Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Cheng-Hsun HoDepartment of Medical Laboratory Science, College of Medical Science and Technology, I-Shou University, No.8, Yida Road, Jiaosu Village, Yanchao District, Kaohsiung, 82445, Taiwan. chenghsunho@gmail.com.
Chi-Wei ChenGraduate Degree Program of Smart Healthcare & Bioinformatics, College of Medical Science and Technology, I-Shou University, Kaohsiung, Taiwan.
Pei-Yi SuDepartment of Laboratory Medicine, E-DA Hospital, Kaohsiung, Taiwan.

Funding

E-Da Hospital EDAHT111005National Science and Technology Council 111-2314-B-214-003-MY3
6 · The paper itself

Abstract

A decreased chloramphenicol susceptibility in Haemophilus influenzae is commonly caused by the activity of chloramphenicol acetyltransferases (CATs). However, the involvement of membrane proteins in chloramphenicol susceptibility in H. influenzae remains unclear. In this study, chloramphenicol susceptibility testing, whole-genome sequencing, and analyses of membrane-related genes were performed in 51 H. influenzae isolates. Functional complementation assays and structure-based protein analyses were conducted to assess the effect of proteins with sequence substitutions on the minimum inhibitory concentration (MIC) of chloramphenicol in CAT-negative H. influenzae isolates. Six isolates were resistant to chloramphenicol and positive for type A-2 CATs. Of these isolates, A3256 had a similar level of CAT activity but a higher chloramphenicol MIC relative to the other resistant isolates; it also had 163 specific variations in 58 membrane genes. Regarding the CAT-negative isolates, logistic regression and receiver operator characteristic curve analyses revealed that 48T > G (Asn16Lys), 85 C > T (Leu29Phe), and 88 C > A (Leu30Ile) in HI_0898 (emrA), and 86T > G (Phe29Cys) and 141T > A (Ser47Arg) in HI_1177 (artM) were associated with enhanced chloramphenicol susceptibility, whereas 997G > A (Val333Ile) in HI_1612 (hmrM) was associated with reduced chloramphenicol susceptibility. Furthermore, the chloramphenicol MIC was lower in the CAT-negative isolates with EmrA-Leu29Phe/Leu30Ile or ArtM-Ser47Arg substitution and higher in those with HmrM-Val333Ile substitution, relative to their counterparts. The Val333Ile substitution was associated with enhanced HmrM protein stability and flexibility and increased chloramphenicol MICs in CAT-negative H. influenzae isolates. In conclusion, the substitution in H. influenzae multidrug efflux pump HmrM associated with reduced chloramphenicol susceptibility was characterised.

Indexed as

Amino Acid SubstitutionAnti-Bacterial AgentsBacterial ProteinsChloramphenicolHaemophilus influenzaeChloramphenicol O-AcetyltransferaseChloramphenicol ResistanceDrug Resistance, Multiple, BacterialHaemophilus InfectionsHumansMembrane Transport ProteinsMicrobial Sensitivity TestsWhole Genome SequencingAnti-Bacterial AgentsBacterial ProteinsChloramphenicolChloramphenicol O-AcetyltransferaseMembrane Transport ProteinsAntimicrobial susceptibility testChloramphenicolHaemophilus influenzaeWhole-genome sequencing

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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.