Evidence map›Paper›PMID 35720382›Full record

ArticleFrontiers in immunology2022

Evaluation of Host Protein Biomarkers by ELISA From Whole Lysed Peripheral Blood for Development of Diagnostic Tests for Active Tuberculosis.

Harriet N Garlant, Kalaiarasan Ellappan, Matthew Hewitt, Prem Perumal, Simon Pekeleke, Nadina Wand, Jo Southern, Saka Vinod Kumar, Harish Belgode, Ibrahim Abubakar and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Host- and pathogen-related determinants of pulmonaryEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

14 authors at 6 institutions in 2 countries.

Harriet N GarlantScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
Kalaiarasan EllappanDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Matthew HewittScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
Prem PerumalScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
Simon PekelekeScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
Nadina WandScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
Jo SouthernSchool of Life & Medical Sciences, Mortimer Market Centre, University College London, London, United Kingdom.
Saka Vinod KumarDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Harish BelgodeDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Ibrahim AbubakarSchool of Life & Medical Sciences, Mortimer Market Centre, University College London, London, United Kingdom.
Sanjeev SinhaDepartment of Medicine, All India Institute for Medical Sciences, New Delhi, India.
Seshadri VasanDepartment of Health Sciences, University of York, York, United Kingdom.
Noyal Mariya JosephDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Karen E KempsellScience Group: Research and Evaluation, UK Health Security Agency, Salisbury, United Kingdom.
UK Health Security AgencyJawaharlal Institute of Post Graduate Medical Education and Research · INAll India Institute of Medical Sciences · INMortimer Market Centre · GBUniversity College London · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains a significant global health crisis and the number one cause of death for an infectious disease. The health consequences in high-burden countries are significant. Barriers to TB control and eradication are in part caused by difficulties in diagnosis. Improvements in diagnosis are required for organisations like the World Health Organisation (WHO) to meet their ambitious target of reducing the incidence of TB by 50% by the year 2025, which has become hard to reach due to the COVID-19 pandemic. Development of new tests for TB are key priorities of the WHO, as defined in their 2014 report for target product profiles (TPPs). Rapid triage and biomarker-based confirmatory tests would greatly enhance the diagnostic capability for identifying and diagnosing TB-infected individuals. Protein-based test methods e.g. lateral flow devices (LFDs) have a significant advantage over other technologies with regard to assay turnaround time (minutes as opposed to hours) field-ability, ease of use by relatively untrained staff and without the need for supporting laboratory infrastructure. Here we evaluate the diagnostic performance of nine biomarkers from our previously published biomarker qPCR validation study; CALCOCO2, CD274, CD52, GBP1, IFIT3, IFITM3, SAMD9L, SNX10 and TMEM49, as protein targets assayed by ELISA. This preliminary evaluation study was conducted to quantify the level of biomarker protein expression across latent, extra-pulmonary or pulmonary TB groups and negative controls, collected across the UK and India, in whole lysed blood samples (WLB). We also investigated associative correlations between the biomarkers and assessed their suitability for ongoing diagnostic test development, using receiver operating characteristic/area under the curve (ROC) analyses, singly and in panel combinations. The top performing single biomarkers for pulmonary TB versus controls were CALCOCO2, SAMD9L, GBP1, IFITM3, IFIT3 and SNX10. TMEM49 was also significantly differentially expressed but downregulated in TB groups. CD52 expression was not highly differentially expressed across most of the groups but may provide additional patient stratification information and some limited use for incipient latent TB infection. These show therefore great potential for diagnostic test development either in minimal configuration panels for rapid triage or more complex formulations to capture the diversity of disease presentations.

Indexed as

COVID-19Mycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryBiomarkersDiagnostic Tests, RoutineEnzyme-Linked Immunosorbent AssayHumansMembrane ProteinsPandemicsRNA-Binding ProteinsSorting NexinsBiomarkersIFITM3 protein, humanMembrane ProteinsRNA-Binding ProteinsSNX10 protein, humanSorting NexinsassaybiomarkerdiagnosisdiagnosticELISAproteintuberculosis

Identifiers

PMID35720382
PMCPMC9205408
OpenAlexW4280611028

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.