Evidence map›Paper›PMID 34427644›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Neutrophils Contribute to Severity of Tuberculosis Pathology and Recovery From Lung Damage Pre- and Posttreatment.

Caleb Nwongbouwoh Muefong, Olumuyiwa Owolabi, Simon Donkor, Salome Charalambous, Abhishek Bakuli, Andrea Rachow, Christof Geldmacher, Jayne S Sutherland

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

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  12. Host Immune Response toJournal of inflammation research · 2025
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  14. Necrosis drives susceptibility tobioRxiv : the preprint server for biology · 2024
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  15. Identification ofAnnals of medicine · 2024
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  16. Review
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  19. Characterizing the immune response toFrontiers in immunology · 2024
    Review
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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

8 authors at 3 institutions in 3 countries.

Caleb Nwongbouwoh MuefongVaccines and Immunity Theme, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Olumuyiwa OwolabiVaccines and Immunity Theme, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Simon DonkorVaccines and Immunity Theme, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Salome CharalambousSchool of Public Health, Aurum Institute, Johannesburg, South Africa.
Abhishek BakuliDivision of Infectious Diseases and Tropical Medicine, University Hospital, University of Munich, Munich, Germany.
Andrea RachowDivision of Infectious Diseases and Tropical Medicine, University Hospital, University of Munich, Munich, Germany.
Christof GeldmacherDivision of Infectious Diseases and Tropical Medicine, University Hospital, University of Munich, Munich, Germany.
Jayne S SutherlandVaccines and Immunity Theme, Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
MRC Unit the Gambia · GMAurum Institute · ZAGerman Center for Infection Research · DE

Funding

Medical Research Council MC_U190071468Medical Research Council MC_UP_A900_1122Medical Research Council MC_UU_00031/6
6 · The paper itself

Abstract

backgroundDespite microbiological cure, about 50% of tuberculosis (TB) patients have poor lung recovery. Neutrophils are associated with lung pathology; however, CD16/CD62L-defined subsets have not been studied in TB. Using flow cytometry, we monitored frequencies, phenotype, and function of neutrophils following stimulation with Mycobacterium tuberculosis (Mtb) whole cell lysate (WCL) and ESAT-6/CFP-10 fusion protein (EC) in relation to lung pathology.

methodsFresh blood from 42 adult, human immunodeficiency virus (HIV)-negative TB patients were analyzed pre- and post-therapy, with disease severity determined using chest radiography and bacterial load. Flow cytometry was used to monitor frequencies, phenotype, and function (generation of reactive oxygen species [ROS], together with CD11b, tumor necrosis factor, and interleukin 10 [IL-10] expression) of neutrophils following 2-hour stimulation with Mtb-specific antigens.

resultsTotal neutrophils decreased by post-treatment compared to baseline (P = .0059); however, CD16brCD62Lbr (segmented) neutrophils increased (P = .0031) and CD16dimCD62Lbr (banded) neutrophils decreased (P = .038). Banded neutrophils were lower in patients with severe lung damage at baseline (P = .035). Following WCL stimulation, ROS from segmented neutrophils was higher in patients with low Mtb loads even after adjusting for sex (P = .038), whereas IL-10-expressing CD16dimCD62Llo cells were higher in patients with mild damage (P = .0397) at baseline.

conclusionsHigh ROS generation, low levels of banded neutrophils, and high levels of IL-10-expressing CD16dimCD62Llo neutrophils are associated with reduced lung pathology at diagnosis. Hence, neutrophils are potential early indicators of TB severity and promising targets for TB host-directed therapy.

Indexed as

Mycobacterium tuberculosisTuberculosisAntigens, BacterialHumansInterleukin-10LungNeutrophilsReactive Oxygen SpeciesAntigens, BacterialInterleukin-10Reactive Oxygen Speciesimmunosuppressioninflammationlung damageneutrophilstuberculosis

Identifiers

PMID34427644
PMCPMC9155606
OpenAlexW3194523236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.