Evidence map›Paper›PMID 30840702›Full record

ArticlePLoS pathogens2019

Transmission phenotype of Mycobacterium tuberculosis strains is mechanistically linked to induction of distinct pulmonary pathology.

Sheetal Verma, Kamlesh Bhatt, Arianne Lovey, Rodrigo Ribeiro-Rodrigues, Joan Durbin, Edward C Jones-López, Moises Palaci, Solange A Vinhas, David Alland, Reynaldo Dietze and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 46 citations in OpenAlex.

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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

12 authors at 3 institutions in 3 countries.

Sheetal VermaRutgers University-New Jersey Medical School, Department of Medicine, Centre for Emerging Pathogens, Newark, New Jersey, United States of America.ORCID 0000-0003-3654-9874
Kamlesh BhattRutgers University-New Jersey Medical School, Department of Medicine, Centre for Emerging Pathogens, Newark, New Jersey, United States of America.
Arianne LoveyRutgers University-New Jersey Medical School, Department of Medicine, Centre for Emerging Pathogens, Newark, New Jersey, United States of America.ORCID 0000-0003-0922-1240
Rodrigo Ribeiro-RodriguesCellular and Molecular Immunology Laboratory, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Joan DurbinRutgers University-New Jersey Medical School, Department of Pathology, Newark, New Jersey, United States of America.ORCID 0000-0002-0117-4892
Edward C Jones-LópezSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America.
Moises PalaciMycobacteriology Laboratory, Núcleo de Doenças de Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Solange A VinhasMycobacteriology Laboratory, Núcleo de Doenças de Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.ORCID 0000-0002-6036-8793
David AllandRutgers University-New Jersey Medical School, Department of Medicine, Centre for Emerging Pathogens, Newark, New Jersey, United States of America.
Reynaldo DietzeNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Jerrold J EllnerSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America.
Padmini SalgameRutgers University-New Jersey Medical School, Department of Medicine, Centre for Emerging Pathogens, Newark, New Jersey, United States of America.ORCID 0000-0003-2245-3767
Rutgers, The State University of New Jersey · USUniversidade Federal do Espírito Santo · BRBoston University · US

Funding

Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, HORSBURGH, CHARLES ROBERT · 2014 to 2020
$23.3M
US-Brazil Research Collaboration on Strain Variation in TBU01AI065663 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ELLNER, JERROLD J. · 2005 to 2015
$5.2M
NIAID NIH HHS U01 AI065663NIAID NIH HHS U19 AI111276
6 · The paper itself

Abstract

In a study of household contacts (HHC), households were categorized into High (HT) and Low (LT) transmission groups based on the proportion of HHC with a positive tuberculin skin test. The Mycobacterium tuberculosis (Mtb) strains from HT and LT index cases of the households were designated Mtb-HT and Mtb-LT, respectively. We found that C3HeB/FeJ mice infected with Mtb-LT strains exhibited significantly higher bacterial burden compared to Mtb-HT strains and also developed diffused inflammatory lung pathology. In stark contrast, a significant number of mice infected with Mtb-HT strains developed caseating granulomas, a lesion type with high potential to cavitate. None of the Mtb-HT infected animals developed diffused inflammatory lung pathology. A link was observed between increased in vitro replication of Mtb-LT strains and their ability to induce significantly high lipid droplet formation in macrophages. These results support that distinct early interactions of Mtb-HT and Mtb-LT strains with macrophages and subsequent differential trajectories in pathological disease may be the mechanism underlying their transmission potential.

Indexed as

AnimalsDisease Models, AnimalDisease Transmission, InfectiousFemaleGranulomaLungMacrophagesMiceMice, Inbred BALB CMice, Inbred C3HMice, Inbred C57BLMycobacterium tuberculosisPhenotypeTuberculosisTuberculosis, PulmonaryVirulence

Identifiers

PMID30840702
PMCPMC6422314
OpenAlexW2922049031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.