Evidence map›Paper›PMID 32582566›Full record

ReviewFrontiers in cellular and infection microbiology2020

Myeloid C-Type Lectin Receptors in Tuberculosis and HIV Immunity: Insights Into Co-infection?

Kubra F Naqvi, Janice J Endsley

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. The Many Hosts of Mycobacteria 9 (MHM9): A conference report.Tuberculosis (Edinburgh, Scotland) · 2023
    Article
  4. Macrophage Polarity and Disease Control.International journal of molecular sciences · 2021
    Review
  5. Review
  6. Article
  7. Generation of Liposomes to Study the Effect ofInternational journal of molecular sciences · 2021
    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

2 authors at 1 institution in 1 country.

Kubra F NaqviDepartment of Microbiology and Immunology, The University of Texas Medical Branch, Galveston, TX, United States.
Janice J EndsleyDepartment of Microbiology and Immunology, The University of Texas Medical Branch, Galveston, TX, United States.
The University of Texas Medical Branch at Galveston · US

Funding

C-type Lectin Receptor Pathways in the Pathogenesis of TB/HIV Co-infectionR33AI138328 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ENDSLEY, JANICE J, GELMAN, BENJAMIN B. · 2020 to 2022
$2.3M
C-type Lectin Receptor Pathways in the Pathogenesis of TB/HIV Co-infectionR61AI138328 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ENDSLEY, JANICE J, GELMAN, BENJAMIN B. · 2018 to 2019
$1.5M
NIAID NIH HHS R33 AI138328NIAID NIH HHS R61 AI138328
6 · The paper itself

Abstract

C-type lectin receptors (CLRs) are carbohydrate binding pattern recognition receptors (PRRs) which play a central role in host recognition of pathogenic microorganisms. Signaling through CLRs displayed on antigen presenting cells dictates important innate and adaptive immune responses. Several pathogens have evolved mechanisms to exploit the receptors or signaling pathways of the CLR system to gain entry or propagate in host cells. CLR responses to high priority pathogens such as

Indexed as

CoinfectionHIV InfectionsLectins, C-TypeTuberculosisHumansImmunity, InnateMycobacterium tuberculosisReceptors, Pattern RecognitionLectins, C-TypeReceptors, Pattern RecognitionC-type lectin receptorsHIVinnate immunityTB and HIV co-infectiontuberculosis

Identifiers

PMID32582566
PMCPMC7283559
OpenAlexW3033328417

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.