Evidence map›Paper›PMID 38778229›Full record

Observational studyPediatric research2024

Faecal lipid profile as a new marker of fat maldigestion, malabsorption and microbiota.

Andrea Asensio-Grau, Miguel Ferriz-Jordán, David Hervás, Ana Heredia, Jorge García-Hernández, María Garriga, Etna Masip, M Carmen Collado, Ana Andrés, Carmen Ribes-Koninckx and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Pediatric research, 2024. 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
–field-weighted citation impact
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. Article
  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

11 authors.

Andrea Asensio-GrauInstitute of Food Engineering (FoodUPV). Polytechnic University of València, 46022, València, Spain.
Miguel Ferriz-JordánInstitute of Food Engineering (FoodUPV). Polytechnic University of València, 46022, València, Spain.
David HervásDepartment of Statistics (EIO). Polytechnic University of València, 46022, València, Spain.
Ana HerediaInstitute of Food Engineering (FoodUPV). Polytechnic University of València, 46022, València, Spain.
Jorge García-HernándezCentre for Advanced Microbiology (CAMA). Polytechnic University of València, 46022, València, Spain.
María GarrigaUniversity Hospital Ramón y Cajal, 28034, Madrid, Spain.
Etna MasipHealth Research Institute La Fe, 46026, València, Spain.
M Carmen ColladoInstitute of Agrochemistry and Food Technology. Spanish National Research Council (IATA-CSIC), 46980, València, Spain.
Ana AndrésInstitute of Food Engineering (FoodUPV). Polytechnic University of València, 46022, València, Spain.
Carmen Ribes-KoninckxJoint Research Unit NutriCuraPDig, València, Spain.
Joaquim Calvo-LermaInstitute of Food Engineering (FoodUPV). Polytechnic University of València, 46022, València, Spain. joacalle@upv.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFat malabsorption in children with cystic fibrosis (CF) leads to poor nutritional status and altered colonic microbiota. This study aimed at establishing the faecal lipid profile in children with CF, and exploring associations between the faecal lipidome and microbiota.

methodsCross-sectional observational study with children with CF and an age-matched control group. Faecal lipidome was analysed by UHLC-HRMS and microbiota profiling by 16S rRNA amplicon sequencing.

resultsAmong 234 identified lipid species, five lipidome clusters (LC) were obtained with significant differences in triacylglycerols (TG), diacylglycerols (DG), monoacylglycerols (MG) and fatty-acids (FA): LC1 subjects with good digestion and absorption: low TG and low MG and FA; LC2 good digestion and poor absorption: low TG and high MG and FA; LC3 Mild digestion and poor absorption: intermediate TG and high MG and FA; LC4 poor digestion and absorption: high TG and high MG and FA; LC5 outliers. Bacteroidota and Verrucomicrobiota decreased over LC1-LC4, while Proteobacteria increased. Nutritional status indicators were significantly higher in LC1 and decreased over LC2-LC4.

conclusionAssessing faecal lipidome may be relevant to determine how dietary lipids are digested and absorbed. This new evidence might be a method to support targeted nutritional interventions towards reverting fat maldigestion or malabsorption. IMPACT: Lipidomic analysis enabled the identification of the lipid species related to maldigestion (triglycerides) or malabsorption (monoglycerides and fatty acids). Children with cystic fibrosis can be grouped depending on the faecal lipidome profile related to dietary fat maldigestion or malabsorption. The lipidome profile in faeces is related to the composition of microbiota and nutritional status indicators.

Indexed as

Cystic FibrosisDietary FatsFecesGastrointestinal MicrobiomeLipidsMalabsorption SyndromesAdolescentBiomarkersCase-Control StudiesChildChild, PreschoolCross-Sectional StudiesDigestionFemaleHumansLipidomicsBiomarkersDietary FatsLipidsRNA, Ribosomal, 16S

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Registered trials

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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.