Evidence map›Paper›PMID 41323824›Full record

ArticleFood science & nutrition2025

Food-Herb Dual-Function in Astragali Radix-Poria-Rheum: Network Pharmacology and Database Mining for Diabetic Kidney Disease Mechanisms Exploration.

Meizi Wang, Weizhong Li, Qiong Cheng, Jiayu Sun, Cheng Cheng, Nana Wang, Ping Zhou, Min Zha, Yufeng Yang

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Meizi WangJiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.ORCID https://orcid.org/0009-0002-4415-3968
Weizhong LiJiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.
Qiong ChengSchool of Nursing Nanjing University of Chinese Medicine Nanjing China.
Jiayu SunSchool of Health Preservation and Rehabilitation Nanjing University of Chinese Medicine Nanjing China.
Cheng ChengSchool of Health Preservation and Rehabilitation Nanjing University of Chinese Medicine Nanjing China.
Nana WangJiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.
Ping ZhouJiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.
Min ZhaJiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.ORCID https://orcid.org/0009-0001-5152-618X
Yufeng YangLiaoning University of Traditional Chinese Medicine Shenyang Liaoning China.ORCID https://orcid.org/0000-0001-6270-9160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing demand for functional foods derived from medicinal-edible homologous resources offers a promising strategy to address the chronic metabolic dysregulation underlying diabetic kidney disease (DKD), particularly in patients requiring long-term pharmacological interventions. DKD, a metabolic disorder-driven complication of diabetes, is characterized by chronic hyperglycemia, insulin resistance (IR), and systemic metabolic dysregulation, necessitating novel dietary approaches to complement conventional therapies. To systematically explore the therapeutic potential of medicinal-edible homologous herbs in DKD management, this study retrieved clinical literature from the China National Knowledge Infrastructure (CNKI) database, focusing on traditional Chinese medicines (CHMs) with dual dietary and therapeutic functions. By integrating data mining techniques (frequency analysis, attribute-flavor analysis, herb-pair co-occurrence networks, and cluster analysis) with expert clinical consensus, we prioritized the identification of core medicinal-edible homologous combinations that align with DKD's metabolic pathology. This multi-dimensional approach revealed Huangqi (

Indexed as

functional foodsglycolipid metabolisminsulin resistancemedicinal and edible homologymetabolic diseases

Identifiers

PMID41323824
PMCPMC12658371

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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.