Evidence map›Paper›PMID 30445573›Full record

ArticlePathogens and disease2018

Flow-cytometric analysis of human monocyte subsets targeted by Mycobacterium bovis BCG before granuloma formation.

Melaine Delcroix, Kartoosh Heydari, Ren Dodge, Lee W Riley

Abstract read
In one paragraph

Article in Pathogens and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 87% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

4 authors at 1 institution in 1 country.

Melaine DelcroixDivision of Infectious Disease and Vaccinology, 530E Li Ka Shing, School of Public Health, University of California, Berkeley, 94720, USA.
Kartoosh HeydariLKS Flow Cytometry Core, Cancer Research Laboratory, University of California, Berkeley, CA 94720, USA.
Ren DodgeDivision of Infectious Disease and Vaccinology, 530E Li Ka Shing, School of Public Health, University of California, Berkeley, 94720, USA.
Lee W RileyDivision of Infectious Disease and Vaccinology, 530E Li Ka Shing, School of Public Health, University of California, Berkeley, 94720, USA.
University of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection with Mycobacterium tuberculosis (Mtb) is characterized by an inflammatory response resulting in the formation of granulomas. These tight aggregates of immune cells play an important role in bacterial containment and in the eventual outcome of infection. Monocytes are a major component of the early immune response to Mtb and contribute to the cellular matrix of the newly forming granuloma. Therefore, defining which monocyte subset is the target of mycobacterial infection is critical. Here, we describe a flow-cytometry-based assay to analyze infectivity in vitro of monocyte subsets by Mycobacterium bovis BCG before granuloma formation. We identified CD14+CD16- monocytes as the main target of infection in peripheral blood mononuclear cells from six healthy donors. CD14+CD16+ monocytes displayed the lowest infection rates and remained uninfected in some donors. We found that a longer infection time resulted in an increase of the percentage of monocytes infected and of the number of granulomas produced. We did not observe changes in monocyte cell death or subset expansion upon infection. Future experiments with our in vitro method could help define Mtb infectivity of monocyte subsets. Our study provides a platform to investigate how early infection of different monocyte subsets may alter granuloma formation and outcomes of Mtb infection.

Indexed as

Flow CytometryHealthy VolunteersHumansImmunophenotypingLipopolysaccharide ReceptorsMonocytesMycobacterium bovisReceptors, IgGLipopolysaccharide ReceptorsReceptors, IgG

Identifiers

PMID30445573
PMCPMC6276273
OpenAlexW2901161820

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.