Evidence map›Paper›PMID 35579455›Full record

ArticleMicrobiology spectrum2022

Novel Screening System of Virulent Strains for the Establishment of a

Koji Furuuchi, Shintaro Seto, Hajime Nakamura, Haruka Hikichi, Akiko Miyabayashi, Keiko Wakabayashi, Kazue Mizuno, Teruaki Oka, Kozo Morimoto, Minako Hijikata and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. C3HeB/FeJ mice with chronicMycobacteria (London, England) · 2025
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  5. Frontiers in immunology · 2025
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  6. Transcriptional regulatorsMicrobiology spectrum · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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

11 authors at 1 institution in 1 country.

Koji FuruuchiDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID 0000-0002-1208-7698
Shintaro SetoDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID 0000-0001-8980-7377
Hajime NakamuraDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Haruka HikichiDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Akiko MiyabayashiDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Keiko WakabayashiDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Kazue MizunoDepartment of Clinical Laboratory, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Teruaki OkaDepartment of Pathology, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Kozo MorimotoRespiratory Disease Center, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID 0000-0002-8239-9275
Minako HijikataDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Naoto KeichoDepartment of Basic Mycobacteriosis, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Japan Anti Tuberculosis Association · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment of animal models reflecting human Mycobacterium avium complex (MAC) lung disease (LD) pathology has the potential to expand our understanding of the disease pathophysiology. However, inducing sustained infection in immunocompetent mice is difficult since MAC generally shows less virulence and higher genetic variability than M. tuberculosis. To overcome this hurdle, we developed a screening system for identifying virulent MAC strains using whole-genome sequencing (WGS). We obtained nine clinical strains from Mycobacterium avium complex lung disease (MAC-LD) patients and divided them into two groups to make the mixed strain inocula for infection. Intranasal infection with the strain mixture of both groups in BALB/c mice resulted in progressive infection and extensive granuloma formation in the lungs, suggesting the existence of highly pathogenic strains in each group. We hypothesized that the change in the abundance of strain-specific single-nucleotide variants (SNVs) reflects the change in bacterial number of each strain in infected lungs. Based on this hypothesis, we quantified individual strain-specific SNVs in bacterial DNA from infected lungs. Specific SNVs for four strains were detected, suggesting the pathogenicity of these four strains. Consistent with these results, individual infection with these four strains induced a high lung bacterial burden, forming extensive peribronchial granuloma, while the other strains showed a decreased lung bacterial burden. The current method combining mixed infection and WGS accurately identified virulent strains that induced sustained infection in mice. This method will contribute to the establishment of mouse models that reflect human MAC-LD and lead to antimycobacterial drug testing.

Indexed as

CoinfectionLung DiseasesMycobacterium avium-intracellulare InfectionMycobacterium tuberculosisAnimalsMiceMycobacterium avium ComplexNucleotidesNucleotidesgranulomagranuloma formationMAC-LDmouse modelMycobacterium avium complexSNVswhole-genome sequencing

Identifiers

PMID35579455
PMCPMC9241706
OpenAlexW4280555329

What OpenQuestion holds

Textmetadata
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.