Evidence map›Paper›PMID 36271250›Full record

ArticleScientific reports2022

The effects of sugar in drinking water on Streptococcus pyogenes colonisation in a murine nasopharyngeal infection model.

Farina Nor Hashimi, Julie Bennett, Michael G Baker, Nicole J Moreland, Troy L Merry, Jacelyn M S Loh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 1 country.

Farina Nor HashimiDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, 1023, New Zealand.
Julie BennettDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, 1023, New Zealand.
Michael G BakerDepartment of Public Health, University of Otago, Wellington, New Zealand.
Nicole J MorelandDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, 1023, New Zealand.
Troy L MerryDepartment of Nutrition, School of Medical Sciences, University of Auckland, Auckland, 1023, New Zealand.
Jacelyn M S LohDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, 1023, New Zealand. mj.loh@auckland.ac.nz.ORCID 0000-0002-9428-1215
University of Auckland · NZMaurice Wilkins Centre · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of sugar-sweetened beverages consumed per day has been associated with an increased risk of acute rheumatic fever, an autoimmune disease triggered by superficial Streptococcus pyogenes infection. To explore if there could be a biological basis for this association, we used a mouse model of S. pyogenes nasopharyngeal colonisation combined with a dietary intervention. We observed an increased bacterial load in the nasopharynx of mice receiving sucrose drinking water post-infection, suggesting that high sucrose intake promotes S. pyogenes growth and/or survival. This provides new insight into the potential biological basis behind the association seen in humans.

Indexed as

Drinking WaterStreptococcus pyogenesAnimalsBeveragesDrinkingHumansMiceNasopharynxSucroseSugarsDrinking WaterSucroseSugars

Identifiers

PMID36271250
PMCPMC9587037
OpenAlexW4307028284

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.