Evidence map›Paper›PMID 36271270›Full record

ArticleScientific reports2022

Comparative transcriptomic analysis of whole blood mycobacterial growth assays and tuberculosis patients' blood RNA profiles.

Petra Bachanová, Ashleigh Cheyne, Claire Broderick, Sandra M Newton, Michael Levin, Myrsini Kaforou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 2 institutions in 1 country.

Petra Bachanová *Department of Infectious Disease, Imperial College London, London, UK.
Ashleigh Cheyne *Department of Infectious Disease, Imperial College London, London, UK.
Claire BroderickDepartment of Infectious Disease, Imperial College London, London, UK.
Sandra M NewtonDepartment of Infectious Disease, Imperial College London, London, UK.
Michael LevinDepartment of Infectious Disease, Imperial College London, London, UK.
Myrsini KaforouDepartment of Infectious Disease, Imperial College London, London, UK. m.kaforou@imperial.ac.uk.
Imperial College London · GBRoyal College of Paediatrics and Child Health · GB

Funding

Medical Research Council 1816898MRF_ MRF-160-0008-ELP-KAFO-C0801Wellcome TrustWellcome Trust 206508/Z/17/Z
6 · The paper itself

Abstract

In vitro whole blood infection models are used for elucidating the immune response to Mycobacterium tuberculosis (Mtb). They exhibit commonalities but also differences, to the in vivo blood transcriptional response during natural human Mtb disease. Here, we present a description of concordant and discordant components of the immune response in blood, quantified through transcriptional profiling in an in vitro whole blood infection model compared to whole blood from patients with tuberculosis disease. We identified concordantly and discordantly expressed gene modules and performed in silico cell deconvolution. A high degree of concordance of gene expression between both adult and paediatric in vivo-in vitro tuberculosis infection was identified. Concordance in paediatric in vivo vs in vitro comparison is largely characterised by immune suppression, while in adults the comparison is marked by concordant immune activation, particularly that of inflammation, chemokine, and interferon signalling. Discordance between in vitro and in vivo increases over time and is driven by T-cell regulation and monocyte-related gene expression, likely due to apoptotic depletion of monocytes and increasing relative fraction of longer-lived cell types, such as T and B cells. Our approach facilitates a more informed use of the whole blood in vitro model, while also accounting for its limitations.

Indexed as

Mycobacterium tuberculosisTuberculosisAdultChildHumansInterferonsRNATranscriptomeInterferonsRNA

Identifiers

PMID36271270
PMCPMC9587058
OpenAlexW4307170219

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.