Evidence map›Paper›PMID 37372530›Full record

ArticleFoods (Basel, Switzerland)2023

Steamed Multigrain Bread Prepared from Dough Fermented with Lactic Acid Bacteria and Its Effect on Type 2 Diabetes.

Jiacui Shang, Shuiqi Xie, Shuo Yang, Bofan Duan, Lijun Liu, Xiangchen Meng

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Jiacui ShangKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.
Shuiqi XieKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.
Shuo YangKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.
Bofan DuanKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.
Lijun LiuKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.
Xiangchen MengKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, China.

Funding

National Natural Science Foundation of China 32272291
6 · The paper itself

Abstract

Multigrain products can prevent the occurrence of chronic noninfectious diseases such as hyperglycemia and hyperlipidemia. In this study, multigrain dough fermented by lactic acid bacteria (LAB) was used for the preparation of good-quality steamed multigrain bread, and its effects on type 2 diabetes were investigated. The results showed that the multigrain dough fermented with LAB significantly enhanced the specific volume, texture, and nutritional value of the steamed bread. The steamed multigrain bread had a low glycemic index and was found to increase liver glycogen and reduce triglyceride and insulin levels, while improving oral glucose tolerance and blood lipid levels in diabetic mice. The steamed multigrain bread made from dough fermented with LAB had comparable effects on type 2 diabetes to steamed multigrain bread prepared from dough fermented without LAB. In conclusion, multigrain dough fermentation with LAB improved the quality of the steamed bread while preserving its original efficacy. These findings provide a novel approach to the production of functional commercial foods.

Indexed as

grainslactic acid bacterialow glycemic indexsteamed breadtype 2 diabetes

Identifiers

PMID37372530
PMCPMC10297133

What OpenQuestion holds

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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.