Evidence map›Paper›PMID 40622152›Full record

ArticleJournal of agricultural and food chemistry2025

Long-Term In Vivo Administration of Panaxynol Alleviates Diabetes-Induced Vascular Calcification by Modulating Sirt6-Mediated sEH Function in Perivascular Adipose Tissue.

Shanshan Song, Xina Yu, Changming Xie, Zhanhua Li, Ying Zhang, Yan Liu, Zhongjue Qiu, Tiantian Wang, Hongna Su, Hui Huang and 1 more

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 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. 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

11 authors.

Shanshan SongState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Xina YuState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Changming XieDepartment of Cardiology, The Eighth Affiliated Hospital, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen 518033, China.
Zhanhua LiState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Ying ZhangState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Yan LiuDepartment of Anesthesiology, The Affiliated TCM Hospital of Southwest Medical University, Luzhou 646000, China.
Zhongjue QiuState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Tiantian WangState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Hongna SuState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.
Hui HuangDepartment of Cardiology, The Eighth Affiliated Hospital, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen 518033, China.
Pei LuoState Key Laboratory for Quality Research in Chinese Medicines, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Internationalization of TCM, Macau University of Science and Technology, Macau 999078, China.ORCID 0000-0003-3095-9223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Panaxynol (PA), a bioactive compound found in carrots and other Apiaceae plants, holds promise for managing diabetes-related vascular complications. This study investigated the long-term effects of PA on diabetes-induced vascular calcification (DVC) in db/db mice for up to 9 weeks. The impact of PA on DVC was evaluated both in vivo and in vitro using immunohistochemical staining, Western blotting, micro-computed tomography, and other analytical techniques. Results demonstrated that PA significantly attenuated arterial calcification and collagen hyperplasia in the aorta. Additionally, PA elevated levels of the lipid signaling molecule 14,15-EET, which preserved the vascular structure and function by reducing inflammatory macrophage infiltration in perivascular adipose tissue. This protective effect was partially attributed to the PA-mediated inhibition of soluble epoxide hydrolase (sEH) through Sirt6 activation. These findings highlight PA as a potential natural therapeutic strategy for mitigating diabetic vascular complications and offer an alternative to conventional pharmacological approaches.

Indexed as

Adipose TissueEpoxide HydrolasesFatty AlcoholsSirtuinsVascular CalcificationAnimalsHumansMaleMiceMice, Inbred C57BLEpoxide HydrolasesFatty AlcoholsSirt6 protein, mouseSirtuinsdiabetes mellituspanaxynolperivascular adipose tissueSirt6soluble epoxide hydrolase

Identifiers

PMID40622152
PMCPMC12291596

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Registered trials

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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.