Evidence map›Paper›PMID 33542172›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

Effects of Antibiotic Treatment and Probiotics on the Gut Microbiome of 40 Infants Delivered Before Term by Cesarean Section Analysed by Using 16S rRNA Quantitative Polymerase Chain Reaction Sequencing.

Chen Gong, Liqi Yang, Kangkang Liu, Shichun Shen, Qixing Zhang, Han Li, Yan Cheng

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
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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

7 authors at 2 institutions in 1 country.

Chen GongDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Liqi YangDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Kangkang LiuDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Shichun ShenDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Qixing ZhangDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Han LiDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Yan ChengDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Anhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study aimed to investigate the effects on the gut microbiome of 40 infants delivered before term by cesarean section between antibiotic treatment and probiotics as assessed by 16S rRNA quantitative polymerase chain reaction (qPCR) sequencing. MATERIAL AND METHODS We divided 40 premature infants delivered by cesarean section into 4 groups according to exposure to antibiotics or probiotics: N group (No-probiotics and No-antibiotics), A group (antibiotics), P group (probiotics), and the AP group (antibiotics+probiotics). Fecal samples were collected on days 1, 3, and 10, and the microflora data were generated using 16S rRNA qPCR sequencing technology. The BugBase tool was used for phenotype prediction, the Tax4Fun tool was used for function prediction, and iPath software was used to predict the metabolic pathways of intestinal bacteria. RESULTS Antibiotics increased the abundance of pathogenic bacteria and reduced the replication and repair function (P=0.049), nucleotide metabolism function (P=0.047), and the purine metabolism pathways (P<0.05) of the gut microbiota. Probiotics increased the abundance of beneficial bacteria and the cellular community prokaryote function (P=0.042) and contributed to the Bifidobacteria biofilm formation. Probiotics alleviated the damage of antibiotics to the composition and function of the gut microbiota. CONCLUSIONS The findings from this study showed that antibiotic treatment of preterm infants born by cesarean section changed the gut microbiome, but that the use of probiotics could restore the normal microbiome, which supports that restoration of the normal gut microbiota may be achieved with probiotics.

Indexed as

Anti-Bacterial AgentsBacteriaCesarean SectionFecesFemaleGastrointestinal MicrobiomeHumansInfantInfant, NewbornInfant, PrematureMalePolymerase Chain ReactionProbioticsRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16S

Identifiers

PMID33542172
PMCPMC7871509
OpenAlexW3126656298

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.