Evidence map›Paper›PMID 32060529›Full record

ArticleThe Journal of infectious diseases2020

Antibody Fc Glycosylation Discriminates Between Latent and Active Tuberculosis.

Lenette L Lu, Jishnu Das, Patricia S Grace, Sarah M Fortune, Blanca I Restrepo, Galit Alter

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Glycosylation profile ofiScience · 2026
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  15. Antigen specificity shapes antibody functions in tuberculosis.bioRxiv : the preprint server for biology · 2024
    Article
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  17. Article
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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

6 authors at 4 institutions in 1 country.

Lenette L LuUniversity of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jishnu DasRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Patricia S GraceRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Sarah M FortuneRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Blanca I RestrepoSchool of Public Health, University of Texas Health Houston, Brownsville, Texas, USA.
Galit AlterRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Harvard University · USRagon Institute of MGH, MIT and Harvard · USThe University of Texas Rio Grande Valley · USThe University of Texas Southwestern Medical Center · US

Funding

INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Antibody Mediated Mechanisms of Immune Modulation in TuberculosisK08AI130357 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI LU, LENETTE · 2017 to 2021
$984k
NIAID NIH HHS K08 AI130357NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

backgroundMycobacterium tuberculosis remains a global health problem and clinical management is complicated by difficulty in discriminating between latent infection and active disease. While M. tuberculosis-reactive antibody levels are heterogeneous, studies suggest that levels of IgG glycosylation differ between disease states. Here we extend this observation across antibody domains and M. tuberculosis specificities to define changes with the greatest resolving power.

methodsCapillary electrophoretic glycan analysis was performed on bulk non-antigen-specific IgG, bulk Fc domain, bulk Fab domain, and purified protein derivative (PPD)- and Ag85A-specific IgG from subjects with latent (n = 10) and active (n = 20) tuberculosis. PPD-specific isotype/subclass, PPD-specific antibody-dependent phagocytosis, cellular cytotoxicity, and natural killer cell activation were assessed. Discriminatory potentials of antibody features were evaluated individually and by multivariate analysis.

resultsParallel profiling of whole, Fc, and Fab domain-specific IgG glycosylation pointed to enhanced differential glycosylation on the Fc domain. Differential glycosylation was observed across antigen-specific antibody populations. Multivariate modeling highlighted Fc domain glycan species as the top discriminatory features, with combined PPD IgG titers and Fc domain glycans providing the highest classification accuracy.

conclusionsDifferential glycosylation occurs preferentially on the Fc domain, providing significant discriminatory power between different states of M. tuberculosis infection and disease.

Indexed as

AcyltransferasesAdolescentAdultAgedAntigens, BacterialBacterial ProteinsElectrophoresis, CapillaryFemaleGlycoproteinsGlycosylationHumansImmunoglobulin Fab FragmentsImmunoglobulin Fc FragmentsImmunoglobulin GLatent TuberculosisMaleAcyltransferasesantigen 85B, Mycobacterium tuberculosisAntigens, BacterialBacterial ProteinsGlycoproteinsglycosylated IgGImmunoglobulin Fab FragmentsImmunoglobulin Fc FragmentsImmunoglobulin GPolysaccharidesTuberculinantibodiesdiagnosticsFc effector functionglycosylationtuberculosis

Identifiers

PMID32060529
PMCPMC7661770
OpenAlexW3005561908

What OpenQuestion holds

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LicenceCC BY
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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.