Evidence map›Paper›PMID 39666173›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2024

Comparative Transcriptome Analyses Provide Potential Insights into Molecular Mechanisms of Anthocyanin-Rich Blueberry Extract in Rapid Intervention Against Acute Alcohol Exposure in Mice.

Xiaming Shi, Mengjun Xu, Juan Li, Ye Deng, Changsheng Song, Yang Yang, Yuting Liu, Ningning Qiao, Song Jiang, Zhengliang Zhang and 2 more

Abstract read
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In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaming Shi *Anhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Mengjun Xu *School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
Juan LiAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Ye DengAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Changsheng SongAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Yang YangAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Yuting LiuAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China.
Ningning QiaoDepartment of Science and Technology, Anhui University, Hefei, 230601, China.
Song JiangSchool of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
Zhengliang ZhangAnhui Kemen Biological Science and Technology Co., Ltd, 230000, Hefei, China.
Yong ZhuAnhui Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory, School of Biology and Food Engineering, Hefei Normal University, Hefei, 230601, China. yzhu@hfnu.edu.cn.
Yan MengSchool of Life Sciences, Anhui Agricultural University, Hefei, 230036, China. mengyan@ahau.edu.cn.

Funding

Anhui Provincial Natural Science Foundation 2008085MC105Anhui Provincial Training Program of Innovation and Entrepreneurship for Undergraduates S202314098175Open Foundation of Anhui Provincial Medicine and Food Homologous Natural Resources Development and Utilization Engineering Laboratory YSTY2022014Provincial Natural Science Research Project of Anhui Colleges KJ2021A0934School-enterprise Cooperation Research Project of Hefei Normal University HXXM2022318
6 · The paper itself

Abstract

Alcohol-induced health damage has become an increasing global public health concern. Anthocyanins exhibit essential biological activities, including antioxidation, anti-inflammation, and lipid reduction. This study investigates the rapid intervention effects and mechanisms of anthocyanin-rich blueberry extract in mitigating acute alcohol exposure in mice, aiming to uncover its novel nutritional roles. Eight-week-old male C57BL/6J mice were fasted for 6 h and randomly assigned to three groups (CON, EOH, and EOH-BE, n = 8) for the experimental study. The results demonstrated that 1 h after alcohol exposure, BE significantly enhanced the behavioral performance of mice, lowered blood ethanol levels and liver function markers, and alleviated hepatic pathological alterations. GSEA results of KEGG pathways indicated that BE primarily affected pathways associated with nutrient digestion and absorption, energy substance metabolism, unsaturated fatty acids biosynthesis, and gastric cancer, facilitating rapid intervention in acute alcohol exposure in mice. These findings confirm that anthocyanin-rich blueberry extract effectively mitigates the health risks linked to acute alcohol exposure, providing new insights into early intervention and management strategies for alcohol-induced disorders.

Indexed as

AnthocyaninsBlueberry PlantsEthanolLiverMice, Inbred C57BLPlant ExtractsAnimalsGene Expression ProfilingMaleMiceAnthocyaninsblueberry extractEthanolPlant ExtractsAcute alcohol exposureAnthocyaninBlueberry extractRapid interventionTranscriptome analysis

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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.