Evidence map›Paper›PMID 38111603›Full record

ArticleFrontiers in nutrition2023

Altered dietary behaviour during pregnancy impacts systemic metabolic phenotypes.

Charlotte E Rowley, Samantha Lodge, Siobhon Egan, Catherine Itsiopoulos, Claus T Christophersen, Desiree Silva, Elizabeth Kicic-Starcevich, Therese A O'Sullivan, Julien Wist, Jeremy Nicholson and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. 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
4.6field-weighted citation impact, top 5% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Cohort Profile: The ORIGINS pregnancy and birth cohort.International journal of epidemiology · 2024
    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

13 authors at 8 institutions in 4 countries.

Charlotte E RowleyAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Samantha LodgeAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Siobhon EganAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Catherine ItsiopoulosHealth and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia.
Claus T ChristophersenWA Human Microbiome Collaboration Centre, Curtin University, Bentley, WA, Australia.
Desiree SilvaTelethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.
Elizabeth Kicic-StarcevichTelethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.
Therese A O'SullivanSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Julien WistAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Jeremy NicholsonAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Gary FrostAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Elaine HolmesAustralian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Nina D'VazTelethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.
Murdoch University · AUAvenir Health · USEdith Cowan University · AUPrincess Margaret Hospital for Children · AUImperial College London · GBPerth Children's HospitalRMIT University · AUUniversidad del Valle · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Evidence suggests consumption of a Mediterranean diet (MD) can positively impact both maternal and offspring health, potentially mediated by a beneficial effect on inflammatory pathways. We aimed to apply metabolic profiling of serum and urine samples to assess differences between women who were stratified into high and low alignment to a MD throughout pregnancy and investigate the relationship of the diet to inflammatory markers. Methods: From the ORIGINS cohort, 51 pregnant women were stratified for persistent high and low alignment to a MD, based on validated MD questionnaires. Results: There were clear differences in both the food choice and metabolic profiles of women who self-reported concordance to a high (HMDA) and low (LMDA) Mediterranean diet, indicating that alignment with the MD was associated with a specific metabolic phenotype during pregnancy. Reduced meat intake and higher vegetable intake in the HMDA group was supported by increased levels of urinary hippurate ( Conclusion: Metabolic phenotypes of pregnant women who had a high alignment with the MD were significantly different from pregnant women who had a poor alignment with the MD. The metabolite profiles aligned with reported food intake. Differences were most significant biomarkers of systemic inflammation and selected gut-microbial metabolites. This research expands our understanding of the mechanisms driving health outcomes during the perinatal period and provides additional biomarkers for investigation in pregnant women to assess potential health risks.

Indexed as

fibrehippurateinflammationMediterranean dietmetabolic phenotypepregnancyα-1-acid glycoprotein

Identifiers

PMID38111603
PMCPMC10725961
OpenAlexW4389309412

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.