Evidence map›Paper›PMID 35128020›Full record

ArticleRadiology of infectious diseases (Beijing, China)2018

Spatial and temporal evolution of lung granulomas in a cynomolgus macaque model of

Robert W Gregg, Pauline Maiello, H Jacob Borish, M Teresa Coleman, Douglas S Reed, Alexander G White, JoAnne L Flynn, Philana Ling Lin

Open access · diamondAbstract read
In one paragraph

Article in Radiology of infectious diseases (Beijing, China), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Phenotypic adaptation ofFrontiers in cellular and infection microbiology · 2022
    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

8 authors at 2 institutions in 1 country.

Robert W GreggDepartment of Chemical Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Pauline MaielloDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
H Jacob BorishDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
M Teresa ColemanDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Douglas S ReedCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA.
Alexander G WhiteDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
JoAnne L FlynnDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Philana Ling LinDepartment of Pediatrics, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
University of Pittsburgh · USChildren's Hospital of Pittsburgh · US

Funding

Predicting immune responses that correlate with protection against tuberculosisR01HL110811 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2012 to 2016
$5.9M
HIV-TB Co-infection: Tracking TB emergence after asymptomatic (latent) infectionR01AI111871 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIN, PHILANA LING · 2014 to 2018
$3.3M
Defining how the spectrum of latency affects reactivation of TBR01HL106804 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2010 to 2013
$2.6M
NHLBI NIH HHS R01 HL106804NHLBI NIH HHS R01 HL110811NIAID NIH HHS R01 AI111871
6 · The paper itself

Abstract

backgroundLittle is known about granuloma progression of

objectiveWe characterized the spatial and temporal pattern of granuloma formation during primary infection and reactivation.

methodsSerial PET/CT was performed on cynomolgus macaques (n = 28) during primary and reactivation

resultsSecondary granulomas developed within 2 cm of a primary granuloma within the same lung lobe with 80% probability during the course of primary infection, and this same pattern was observed during reactivation of latent infection after immune suppression. Using a logistic growth function, we were able to predict the maximum number of granulomas that would develop over the course of infection with good correlation (R

conclusionThese data provide important insights into the dynamic patterns of bacterial dissemination during the earliest phases of primary infection and reactivation tuberculosis.

Indexed as

GranulomaMacaquePET/CTTemporal-spatialTuberculosis

Identifiers

PMID35128020
PMCPMC8813170
OpenAlexW2886508308

What OpenQuestion holds

Textmetadata
LicenceTDM
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.