Evidence map›Paper›PMID 34636322›Full record

ArticleeLife2021

Pathogen clonal expansion underlies multiorgan dissemination and organ-specific outcomes during murine systemic infection.

Karthik Hullahalli, Matthew K Waldor

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.7field-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

38 citing papers in PubMed, 54 citations in OpenAlex.

  1. High-throughput analyses ofGut microbes · 2026
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  2. Review
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  4. The cholesterol-dependent cytolysin promotesInfection and immunity · 2026
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Mechanisms of bacterial host-to-host transmission.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  15. Article
  16. mBio · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Karthik HullahalliDepartment of Microbiology, Harvard Medical School, Boston, United States.ORCID 0000-0003-3064-2090
Matthew K WaldorDepartment of Microbiology, Harvard Medical School, Boston, United States.ORCID 0000-0003-1843-7000
Brigham and Women's Hospital · US

Funding

Vibrio cholerae intestinal colonization and vaccine developmentR01AI042347 · NIAID · TUFTS UNIVERSITY BOSTON · PI WALDOR, MATTHEW K · 1998 to 2025
$7.3M
Hepatic survival and population dynamics of extraintestinal pathogenic Escherichia coliF31AI156949 · NIAID · HARVARD MEDICAL SCHOOL · PI HULLAHALLI, KARTHIK · 2021 to 2023
$111k
Howard Hughes Medical InstituteNIAID NIH HHS F31 AI156949NIAID NIH HHS R01 AI042347
6 · The paper itself

Abstract

The dissemination of pathogens through blood and their establishment within organs lead to severe clinical outcomes. However, the within-host dynamics that underlie pathogen spread to and clearance from systemic organs remain largely uncharacterized. In animal models of infection, the observed pathogen population results from the combined contributions of bacterial replication, persistence, death, and dissemination, each of which can vary across organs. Quantifying the contribution of each these processes is required to interpret and understand experimental phenotypes. Here, we leveraged STAMPR, a new barcoding framework, to investigate the population dynamics of extraintestinal pathogenic

Indexed as

AnimalsBacteremiaEscherichia coliEscherichia coli InfectionsMiceModels, Animalbacteremiabarcodesbottlenecksclonal expansionE. coliinfectious diseasemicrobiologymousesystemic infection

Identifiers

PMID34636322
PMCPMC8545400
OpenAlexW3207156112

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.