Evidence map›Paper›PMID 31484327›Full record

ReviewNutrients2019

Dietary Fatty Acids and Host-Microbial Crosstalk in Neonatal Enteric Infection.

Candice Quin, Deanna L Gibson

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Effect of MaternalCurrent developments in nutrition · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

2 authors at 1 institution in 1 country.

Candice QuinDepartment of Biology, Okanagan Campus, University of British Columbia, Okanagan Campus ASC 386, 3187 University Way, Kelowna, BC V1V 1V7, Canada.ORCID 0000-0001-7339-6059
Deanna L GibsonDepartment of Biology, Okanagan Campus, University of British Columbia, Okanagan Campus ASC 386, 3187 University Way, Kelowna, BC V1V 1V7, Canada. deanna.gibson@ubc.ca.ORCID 0000-0003-0052-7550
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human milk is the best nutritional choice for infants. However, in instances where breastfeeding is not possible, infant formulas are used as alternatives. While formula manufacturers attempt to mimic the performance of human breast milk, formula-fed babies consistently have higher incidences of infection from diarrheal diseases than those breastfed. Differences in disease susceptibility, progression and severity can be attributed, in part, to nutritional fatty acid differences between breast milk and formula. Despite advances in our understanding of breast milk properties, formulas still present major differences in their fatty acid composition when compared to human breast milk. In this review, we highlight the role of distinct types of dietary fatty acids in modulating host inflammation, both directly and through the microbiome-immune nexus. We present evidence that dietary fatty acids influence enteric disease susceptibility and therefore, altering the fatty acid composition in formula may be a potential strategy to improve infectious outcomes in formula-fed infants.

Indexed as

Dietary FatsEnteritisFatty AcidsGastrointestinal MicrobiomeHumansInfant FormulaInfant, NewbornMilk, HumanDietary FatsFatty Acidsdietary fatty acidsenteric infectionformulainfant nutritionmonounsaturated fatty acidspolyunsaturated fatty acidssaturated fatty acids

Identifiers

PMID31484327
PMCPMC6770655
OpenAlexW2971909049

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.