Evidence map›Paper›PMID 31015452›Full record

ArticleNature communications2019

Spatial and temporal localization of immune transcripts defines hallmarks and diversity in the tuberculosis granuloma.

Berit Carow, Thomas Hauling, Xiaoyan Qian, Igor Kramnik, Mats Nilsson, Martin E Rottenberg

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. Pooled it
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  5. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. Building Spatiotemporal Understanding ofACS infectious diseases · 2025
    Review

10 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

6 authors at 3 institutions in 2 countries.

Berit CarowDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8760-6253
Thomas HaulingScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65, Solna, Sweden.
Xiaoyan QianScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65, Solna, Sweden.ORCID http://orcid.org/0000-0001-7509-8071
Igor KramnikDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts, 02118, USA.
Mats NilssonScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65, Solna, Sweden.
Martin E RottenbergDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77, Stockholm, Sweden. Martin.Rottenberg@ki.se.
Stockholm University · SEKarolinska Institutet · SEBoston University · US

Funding

Necrosis in pulmonary TB granulomas: dynamics, mechanisms, therapiesR01HL126066 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KRAMNIK, IGOR, NIEDERWEIS, MICHAEL · 2016 to 2025
$5.6M
NHLBI NIH HHS R01 HL126066
6 · The paper itself

Abstract

Granulomas are the pathological hallmark of tuberculosis (TB) and the niche where bacilli can grow and disseminate or the immunological microenvironment in which host cells interact to prevent bacterial dissemination. Here we show 34 immune transcripts align to the morphology of lung sections from Mycobacterium tuberculosis-infected mice at cellular resolution. Colocalizing transcript networks at <10 μm in C57BL/6 mouse granulomas increase complexity with time after infection. B-cell clusters develop late after infection. Transcripts from activated macrophages are enriched at subcellular distances from M. tuberculosis. Encapsulated C3HeB/FeJ granulomas show necrotic centers with transcripts associated with immunosuppression (Foxp3, Il10), whereas those in the granuloma rims associate with activated T cells and macrophages. We see highly diverse networks with common interactors in similar lesions. Different immune landscapes of M. tuberculosis granulomas depending on the time after infection, the histopathological features of the lesion, and the proximity to bacteria are here defined.

Indexed as

AnimalsB-LymphocytesDisease Models, AnimalForkhead Transcription FactorsHumansInterleukin-10LungMacrophagesMice, Inbred C3HMice, Inbred C57BLMycobacterium tuberculosisRNA, MessengerTime FactorsTuberculomaTuberculosis, PulmonaryForkhead Transcription FactorsFoxp3 protein, mouseIL10 protein, mouseInterleukin-10RNA, Messenger

Identifiers

PMID31015452
PMCPMC6479067
OpenAlexW2908318345

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.