Evidence map›Paper›PMID 38789922›Full record

ArticleBMC genomics2024

Dietary resveratrol improves the flesh quality of Siberian sturgeon (Acipenser baerii) by enhancing myofiber growth, nutrient accumulation and antioxidant capacity.

Shiyong Yang, Jiajin Zhang, Zihan Xu, Wuyuntana Shao, Xiaojian Pang, Datian Li, Xiaoli Huang, Wei Luo, Zongjun Du, Yunkun Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

12 authors.

Shiyong Yang *Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Jiajin Zhang *Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Zihan Xu *Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Wuyuntana ShaoDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaojian PangDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Datian LiDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaoli HuangDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Wei LuoDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Zongjun DuDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Yunkun LiDepartment of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, 625014, China.
Jiayun WuDepartment of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, 625014, China.
Xiaogang DuDepartment of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, 625014, China. duxiaogang@sicau.edu.cn.

Funding

Natural Science Foundation of Sichuan Province of China 2022NSFSC0070Project of Sichuan Innovation Team of National Modern Agricultural Industry Technology System SCCXTD-15Science and Technology Achievement Transfer and Transformation Demonstration Project of Sichuan Province 2021ZHCG0065Teaching Reform Project of Sichuan Province JG2021-506the Sichuan Science and Technology Program 2021YFYZ0015Youth Foundation of Natural Science Foundation of Sichuan Province 2022NSFSC1723, 23NSFSC5806Youth Foundation of Natural Science Foundation of Sichuan Province 2023NSFSC1218
6 · The paper itself

Abstract

backgroundIn aquaculture, sturgeons are generally maintained in the confined spaces, which not only hinders sturgeon movement, but also threatens their flesh quality that seriously concerned by aquaculture industry. As a typical antioxidant, resveratrol can improve the flesh quality of livestock and poultry. However, the mechanism of resveratrol's effect on the muscle of Siberian sturgeon is still unclear.

resultsIn this study, the dietary resveratrol increased the myofiber diameter, the content of the amino acids, antioxidant capacity markers (CAT, LDH and SOD) levels and the expression levels of mTORC1 and MYH9 in muscle of Siberian sturgeon. Further transcriptome analysis displayed that ROS production-related pathways ("Oxidative phosphorylation" and "Chemical carcinogenes-reactive oxygen species") were enriched in KEGG analysis, and the expression levels of genes related to the production of ROS (COX4, COX6A, ATPeF1A, etc.) in mitochondria were significantly down-regulated, while the expression levels of genes related to scavenging ROS (SOD1) were up-regulated.

conclusionsIn summary, this study reveals that resveratrol may promote the flesh quality of Siberian sturgeon probably by enhancing myofiber growth, nutritional value and the antioxidant capacity of muscle, which has certain reference significance for the development of a new type of feed for Siberian sturgeon.

Indexed as

AntioxidantsFishesResveratrolAnimal FeedAnimalsDietGene Expression ProfilingMechanistic Target of Rapamycin Complex 1Muscle Fibers, SkeletalMyosin Heavy ChainsNutrientsReactive Oxygen SpeciesAntioxidantsMechanistic Target of Rapamycin Complex 1Myosin Heavy ChainsNutrientsReactive Oxygen SpeciesResveratrolAntioxidative abilityFlesh qualityMuscleResveratrolSiberian sturgeonTranscriptome

Identifiers

PMID38789922
PMCPMC11127361

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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.