Evidence map›Paper›PMID 27161113›Full record

ArticleLipids in health and disease2016

Maternal high fat intake affects the development and transcriptional profile of fetal intestine in late gestation using pig model.

Lianqiang Che, Peilin Liu, Zhengguo Yang, Long Che, Liang Hu, Linlin Qin, Ru Wang, Zhengfeng Fang, Yan Lin, Shengyu Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Proinflammatory State in the Odontogenesis of Fetuses Exposed to Different Types of Fatty Acids during Pregnancy.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Article
  3. Review
  4. 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 1 institution in 1 country.

Lianqiang CheInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China. clianqiang@hotmail.com.
Peilin LiuInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Zhengguo YangInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Long CheInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Liang HuInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Linlin QinInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Ru WangInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Zhengfeng FangInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Yan LinInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Shengyu XuInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Bin FengInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Jian LiInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
De WuInstitute of Animal Nutrition, Sichuan Agricultural University, No.46, Xinkang Road, Ya'an, Sichuan, 625014, People's Republic of China.
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to investigate the effects of maternal high fat intake on intestinal development and transcriptional profile.

methodsEight gilts with similar age and body weight were randomly allocated into 2 groups receiving the control and high fat diets (HF diet) from d 30 to 90 of gestation, with 4 gilts each group and one gilt each pen. At d 90 of gestation, two fetuses each gilt were removed by cesarean section. Intestinal samples were collected for analysis of morphology, enzyme activities and transcriptional profile.

resultsThe results showed that feeding HF diet markedly increased the fetal weight and lactase activity, also tended to increase intestinal morphology. Porcine Oligo Microarray analysis indicated that feeding HF diet inhibited 64% of genes (39 genes down-regulated while 22 genes up-regulated),which were related to immune response, cancer and metabolism, also markedly modified 33 signal pathways such as antigen processing and presentation, intestinal immune network for IgA production, Jak-STAT and TGF-ß signaling transductions, pathways in colorectal cancer and glycerolipid metabolism.

conclusionCollectively, it could be concluded that maternal high fat intake was able to increase fetal weight and lactase activity, however, it altered the intestinal immune response, signal transduction and metabolism.

Indexed as

AnimalsDiet, High-FatEnzymesFemaleFetal WeightGene Expression Regulation, DevelopmentalIntestinesLactasePregnancySignal TransductionSus scrofaSwineEnzymesLactaseCancerDNA microarrayImmuneMaternal nutritionOffspring

Identifiers

PMID27161113
PMCPMC4862081
OpenAlexW2345784807

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.