Evidence map›Paper›PMID 36014951›Full record

ArticleNutrients2022

Systems Biology Approaches for Understanding Metabolic Differences Using 'Multi-Omics' Profiling of Metabolites in Mice Fed with Honey and Mixed Sugars.

Xing Zheng, Yazhou Zhao, Nenad Naumovski, Wen Zhao, Guan Yang, Xiaofeng Xue, Liming Wu, Daniel Granato, Wenjun Peng, Kai Wang

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

Xing ZhengInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Yazhou ZhaoInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.ORCID 0000-0001-8578-8949
Nenad NaumovskiUniversity of Canberra Health Research Institute (UCHRI), University of Canberra, Locked Bag 1, Bruce, Canberra, ACT 2601, Australia.ORCID 0000-0002-2841-4497
Wen ZhaoInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.ORCID 0000-0003-2816-8959
Guan YangDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Xiaofeng XueInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Liming WuInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Daniel GranatoDepartment of Biological Sciences, School of Natural Sciences, Faculty of Science and Engineering, University of Limerick, V94 T9PX Limerick, Ireland.ORCID 0000-0002-4533-1597
Wenjun PengInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Kai WangInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.ORCID 0000-0003-0553-5293
Chinese Academy of Agricultural Sciences · CNCity University of Hong Kong · HKUniversity of Canberra · AUUniversity of Limerick · IE

Funding

National Natural Science Foundation of China 32172791
6 · The paper itself

Abstract

Honey is proposed to be the oldest natural sweetener and it is a standard component of several dietary patterns. Recent evidence suggests that replacing sugars, such as fructose, with honey has potential health benefits. In this study, we determined the effects of honey supplementation in mice on cardiometabolic and inflammatory markers and changes in gut microbiota and metabolomic profiles. We compared mice fed a honey diet (1 or 2 g/kg) with those fed an analog diet (mixed fructose, glucose, and sucrose (FSG) solutions) at exact dosages for one month. We found the same blood glucose fluctuating trends for honey- and FGS-fed mice. The honey diets resulted in less weight gain and fewer ballooned hepatocytes. Additionally, honey diets decreased the total serum cholesterol and TNF-α and increased the antioxidant enzyme activity. Each diet type was associated with distinct gut microbiota and metabolomics profiles. Systems biology analysis revealed that

Indexed as

HoneyAnimalsFructoseMiceSugarsSystems BiologyWeight GainFructoseSugarsdietgut microbiotahoneymetabolomicssugarsystems biology

Identifiers

PMID36014951
PMCPMC9412287
OpenAlexW4292686844

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.