Ultrafiltered Mulberry (

Leyi Yu, Kaiwen Luo, Dongjun He, Guoxing Yu, Yu Yang, Hong Yao, Chongzhen Sun, Xiyang Wu

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

8 authors.

Leyi YuSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.

Kaiwen LuoDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Dongjun HeDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Guoxing YuDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Yu YangDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Hong YaoDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Chongzhen SunSchool of Public Health, Guangdong Pharmaceutical University, Jianghai Avenue 283, Haizhu District, Guangzhou 510006, China.ORCID 0000-0003-2115-2778

Xiyang WuDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.

Funding

Department of Science and Technology of Guangdong Province 2023A0505050160Department of Science and Technology of Guangdong Province 2024A1515012643National Natural Science Foundation of China 32001708

6 · The paper itself

Abstract

Obesity is a chronic metabolic disorder closely associated with dyslipidemia, insulin resistance, low-grade inflammation, and gut microbiota dysbiosis. Mulberry leaves are rich in bioactive proteins, but whether mulberry leaf albumin-type protein can improve diet-induced obesity remains unclear. In this study, ultrafiltered mulberry leaf albumin-type protein (UMP) was prepared and its anti-obesity effects were evaluated in high-fat diet (HFD)-fed C57BL/6J mice. UMP contained 87.12 ± 0.52 g/100 g protein, 2.52 ± 0.00 g/100 g polyphenols, and 8.21 ± 1.49 g/100 g polysaccharides, with two major albumin-type protein bands of approximately 14 and 52 kDa. Structural analysis showed that UMP was mainly composed of

Indexed as

gut microbiotametabolomicsmulberry leaf albumin-type proteinobesity

Identifiers

PMID42650468

DOI10.3390/foods15162774

PMCPMC13511888

What Socratic holds

Textmetadata

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 Socratic graph.