Evidence map›Paper›PMID 30105020›Full record

ReviewFrontiers in immunology2018

Monocyte Subsets: Phenotypes and Function in Tuberculosis Infection.

Pavithra Sampath, Kadar Moideen, Uma Devi Ranganathan, Ramalingam Bethunaickan

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

145 citing papers in PubMed, 260 citations in OpenAlex.

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85 more citing papers are in PubMed but not listed here.

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.

Pavithra SampathDepartment of Immunology, National Institute for Research in Tuberculosis, Chennai, India.
Kadar MoideenInternational Center of Excellence in Research, National Institute for Research in Tuberculosis, National Institutes for Health, Chennai, India.
Uma Devi RanganathanDepartment of Immunology, National Institute for Research in Tuberculosis, Chennai, India.
Ramalingam BethunaickanDepartment of Immunology, National Institute for Research in Tuberculosis, Chennai, India.
National Institute of Research in Tuberculosis · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytes are critical defense components that play an important role in the primary innate immune response. The heterogeneous nature of monocytes and their ability to differentiate into either monocyte-derived macrophages or monocyte-derived dendritic cells allows them to serve as a bridge between the innate and adaptive immune responses. Current studies of monocytes based on immunofluorescence, single-cell RNA sequencing and whole mass spectrometry finger printing reveals different classification systems for monocyte subsets. In humans, three circulating monocyte subsets are classified based on relative expression levels of CD14 and CD16 surface proteins, namely classical, intermediate and non-classical subsets. Transcriptomic analyses of these subsets help to define their distinct functional properties. Tuberculosis (TB) is a disease instigated by the deadly pathogen

Indexed as

Host-Pathogen InteractionsPhenotypeAnimalsBiomarkersCytokinesHumansLeukocyte CountLymphocyte CountLymphocytesMonocytesMycobacterium tuberculosisProteomeResearchTranscriptomeTuberculosisBiomarkersCytokinesProteomebiomarkers for tuberculosisCD14+ monocytesCD16+ monocytesmonocyte signaturesmonocyte subsetsmonocyte to lymphocyte ratioMycobacterium tuberculosis

Identifiers

PMID30105020
PMCPMC6077267
OpenAlexW2885856055

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.