Evidence map›Paper›PMID 21859850›Full record

ArticleInfection and immunity2011

Resistance to Yersinia pestis infection decreases with age in B10.T(6R) mice.

Nathaniel D Lambert, Deanna M Langfitt, Matthew L Nilles, David S Bradley

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2011. 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
0.2field-weighted citation impact, top 37% 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. Article
  2. Article
  3. The Impact of Age and Sex on Mouse Models of Melioidosis.Pathogens (Basel, Switzerland) · 2020
    Article
  4. 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

4 authors at 1 institution in 1 country.

Nathaniel D LambertDepartment of Microbiology, School of Medicine and Health Sciences, Room 4700, 501 N. Columbia Rd., Stop 9037, Grand Forks, ND 58202-9037, USA.
Deanna M Langfitt
Matthew L Nilles
David S Bradley
University of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate that 2-month-old female B10.T(6R) mice are highly resistant to systemic infection with the KIM5 strain of Yersinia pestis and that B10.T(6R) mice become susceptible to Y. pestis infection by the age of 5 months. In this study, young (2-month-old) and middle-aged (5- to 12-month-old) B10.T(6R) mice were infected with equal CFU counts of Y. pestis. The 50% lethal dose (LD(50)) for young B10.T(6R) mice was ∼1.4 × 10(4) CFU, while middle-aged B10.T(6R) mice exhibited an LD(50) of ∼60 CFU. Elevated bacterial burdens were found in the spleens of middle-aged mice at 24 and 60 h and in the livers at 60 h postinfection. Immune cell infiltration was greater in the livers of resistant young mice than in those of middle-aged mice and mice of the susceptible C57BL/6N strain. Unlike susceptible mice, young B10.T(6R) mice did not develop necrotic lesions throughout the liver. Instead, livers from young B10.T(6R) mice contained granuloma-like structures. Immunohistochemical staining of liver sections from these mice at 60 h postinfection revealed that the majority of immune cells present in these structures were neutrophils. These findings suggest that resistance to plague in B10.T(6R) mice correlates with early formation of neutrophilic lesions in the liver.

Indexed as

AgingAnimalsChemokinesDisease SusceptibilityFemaleGene Expression RegulationGranulomaInterleukin-6MaleMiceMice, Inbred StrainsPlagueSpleenStem CellsTime FactorsYersinia pestisChemokinesInterleukin-6

Identifiers

PMID21859850
PMCPMC3257909
OpenAlexW2123204008

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.