Evidence map›Paper›PMID 40529421›Full record

ArticleFrontiers in nutrition2025

Chemical composition and nutritional properties of

Fanfan Jia, Sirui Kang, Xinxin Li, Yiheng Quan, Ruiqing Gao, Chen Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2025. 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. Article
  2. Review
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.

Fanfan Jia *Shaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.
Sirui Kang *Shaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.
Xinxin LiShaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.
Yiheng QuanShaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.
Ruiqing GaoShaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.
Chen ChenShaanxi Province Key Laboratory of Bio-resources, Qinba Mountain Area Collaborative Innovation Center of Bioresources Comprehensive Development, Qinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: In this study, WGE was prepared and analyzed for moisture, ash, protein, lipid, mineral, amino acid, total phenolic, and flavonoid content. WGE was analyzed using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS). Furthermore, the effect of WGE on streptozotocin-induced osteoporosis in diabetic rats was explored, along with an in-depth examination of the underlying mechanisms. Results: The results indicated that WGE reduced blood glucose, water, food intake, and body weight and improved Hyperglycemia and organ coefficients. WGE treatment noticeably increased bone mineral density (BMD), repaired bone morphology (BM), restored bone histomorphometric parameters, and ameliorated pathological pancreatic lesions in diabetic rats. It significantly elevated the activity of glutathione (GSH), superoxide dismutase (SOD), and catalase in liver tissues, osteoblast numbers, and the mRNA and protein expression of osteoprotegerin (OPG) and runt-related transcription factor 2 (Runx2). WGE treatment reduced serum inflammatory cytokine levels and the number of osteoclasts and bone marrow adipocytes. Conclusion: The protective effect of WGE against diabetic osteoporosis arises from several mechanisms: lowering blood glucose levels, inhibiting oxidative stress and inflammation, and modulating OPG/receptor activator of nuclear factor-κB ligand (RANKL) expression. Our results indicated that WGE could serve as a theoretical foundation for the treatment of diabetic osteoporosis.

Indexed as

diabetes mellitusGastrodia elata Blumeosteoblastosteoclastosteoporosiswater extract of Gastrodia elata

Identifiers

PMID40529421
PMCPMC12170316

What Socratic 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 Socratic graph.