Evidence map›Paper›PMID 34784049›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Analyzing Macrophage Infection at the Organ Level.

Ryan G Hames, Zydrune Jasiunaite, Joseph J Wanford, David Carreno, Wen Y Chung, Ashley R Dennison, Marco R Oggioni

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 2 countries.

Ryan G HamesDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK.
Zydrune JasiunaiteDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK.
Joseph J WanfordDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK.
David CarrenoDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK.
Wen Y ChungDepartment of Hepatobiliary and Pancreatic Surgery, University Hospitals of Leicester, Leicester, UK.
Ashley R DennisonDepartment of Hepatobiliary and Pancreatic Surgery, University Hospitals of Leicester, Leicester, UK.
Marco R OggioniDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK. mro5@leicester.ac.uk.
University of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GBUniversity of Bologna · IT

Funding

Biotechnology and Biological Sciences Research Council BB/S507052/1Medical Research Council MR/M003078/1
6 · The paper itself

Abstract

Classical in vivo infection models are oftentimes associated with speculation due to the many physiological factors that are unseen or not accounted for when analyzing experimental outputs, especially when solely utilizing the classic approach of tissue-derived colony-forming unit (CFU) enumeration. To better understand the steps and natural progression of bacterial infection, the pathophysiology of individual organs with which the bacteria interact in their natural course of infection must be considered. In this case, it is not only important to isolate organs as much as possible from additional physiological processes, but to also consider the dynamics of the bacteria at the cellular level within these organs of interest. Here, we describe in detail two models, ex vivo porcine liver and spleen coperfusion and a murine infection model, and the numerous associated experimental outputs produced by these models that can be taken and used together to investigate the pathogen-host interactions within tissues in depth.

Indexed as

Bacterial InfectionsMacrophagesAnimalsLiverMiceSpleenSwineConfocal microscopyCorrelates of protectionEx vivo perfusionFijiImage analysisImmunohistochemistryInFormMurine infection model

Identifiers

PMID34784049
OpenAlexW3213535677

What OpenQuestion holds

Textmetadata
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.