Evidence map›Paper›PMID 32179871›Full record

ArticlePediatric research2020

Gut microbiota in neonates with congenital gastrointestinal surgical conditions: a prospective study.

Shripada C Rao, Meera Esvaran, Sanjay K Patole, Karen N Simmer, Ian Gollow, Anthony Keil, Bernd Wemheuer, Liwei Chen, Patricia L Conway

Open access · bronzeAbstract read
In one paragraph

Article in Pediatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Review
  8. The Effects ofFrontiers in microbiology · 2022
    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

9 authors at 6 institutions in 2 countries.

Shripada C RaoNeonatal Intensive Care Unit, Perth Children's Hospital and King Edward Memorial Hospital for Women, Perth, WA, Australia. shripada.rao@health.wa.gov.au.
Meera EsvaranCentre for Marine Science and Innovation at the University of New South Wales (UNSW), Sydney, NSW, Australia.
Sanjay K PatoleNeonatal Intensive Care Unit, Perth Children's Hospital and King Edward Memorial Hospital for Women, Perth, WA, Australia.
Karen N SimmerNeonatal Intensive Care Unit, Perth Children's Hospital and King Edward Memorial Hospital for Women, Perth, WA, Australia.
Ian GollowDepartment of Paediatric Surgery, Perth Children's Hospital, Perth, WA, Australia.
Anthony KeilPathWest Laboratory Medicine, Perth, WA, Australia.
Bernd WemheuerCentre for Marine Science and Innovation at the University of New South Wales (UNSW), Sydney, NSW, Australia.
Liwei ChenSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore.
Patricia L ConwayCentre for Marine Science and Innovation at the University of New South Wales (UNSW), Sydney, NSW, Australia.
Nanyang Technological University · SGUniversity of Western Australia · AUUNSW Sydney · AUKing Edward Memorial Hospital · AUPathwest Laboratory Medicine · AUPerth Children's Hospital

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited information on gut microbiota of neonates with congenital gastrointestinal surgical conditions (CGISCs) available.

methodsThis study compared stool microbiota and short-chain fatty acids (SCFAs) of 37 term infants with CGISCs with 36 term healthy infants (HIs). Two stool samples were collected from each infant: as soon as possible after birth (week 1) and 10-14 days of life (week 2).

resultsBacterial richness and alpha diversity were comparable between CGISCs and HIs at week 1 and week 2 (all p > 0.05). Beta diversity analysis revealed that at week 1, CGISCs had similar community structures to HIs (p = 0.415). However, by week 2, community structures of CGISCs were significantly different from HIs (p = 0.003). At week 1, there were no significant differences in the relative abundances of genera Bifidobacterium and Bacteroides between CGISCs and HIs. At week 2, the relative abundance of Bifidobacterium was significantly lower in CGISCs (mean percentage 7.21 ± 13.49 vs. 28.96 ± 19.6; p = 0.002). Bacteroides were also less abundant in the CGISC group (mean percentage 0.12 ± 0.49 vs. 6.59 ± 8.62; p = 0.039). Relative abundance of genera Pseudomonas and Escherichia-Shigella were higher in CGISCs. At week 2, stool concentrations of all SCFAs were lower in CGISCs (all p < 0.001).

conclusionsDuring hospitalization, neonates with CGISCs develop gut dysbiosis and deficiency of SCFAs. IMPACT: During hospitalisation, neonates with congenital gastrointestinal surgical conditions develop gut dysbiosis with deficiency of Bifidobacteria and Bacteroides and increased abundance of Escherichia-Shigella and Pseudomonas. They also have low levels of short chain fatty acids in their stools compared to healthy infants. This is the first study evaluating the gut microbiota using 16S ribosomal RNA sequencing methods and stool short chain fatty acids in neonates with congenital gastrointestinal surgical conditions and comparing them to healthy infants. The findings of this study will pave the way for randomised trials of bifidobacterial supplementation in neonates with congenital gastrointestinal surgical conditions.

Indexed as

Gastrointestinal MicrobiomeBacteroidesBifidobacteriumCalibrationEscherichia coliFatty Acids, VolatileFecesFemaleGas Chromatography-Mass SpectrometryGastrointestinal DiseasesHospitalizationHumansInfant, Extremely PrematureInfant, NewbornInfant, PrematureLinear ModelsFatty Acids, VolatileRNA, Ribosomal, 16S

Identifiers

PMID32179871
PMCPMC7223116
OpenAlexW3012081701

What OpenQuestion holds

Textmetadata
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.