Evidence mapPaperPMID 42216630Full record

ArticleJournal of diabetes research2026

Caffeoylquinic Acids From Lonicera japonica Thunb. as Hypoglycemic Agents: Network Pharmacology and Pharmacological Validation.

Yiyi Ye, Dawei Xu, Shilu Zhang, Huawei Yu, Yingwei Liu, Jin Yang, Lijuan Sun

Abstract read
In one paragraph

Article in Journal of diabetes research, 2026. 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

7 authors.

Yiyi YeInstitute of Chinese Traditional Surgery, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, China, shutcm.edu.cn.ORCID https://orcid.org/0000-0001-8738-9319
Dawei XuHubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, School of Health Science and Engineering, Hubei University, Wuhan, Hubei, China, hubu.edu.cn.ORCID https://orcid.org/0009-0005-3638-0767
Shilu ZhangHubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, School of Health Science and Engineering, Hubei University, Wuhan, Hubei, China, hubu.edu.cn.ORCID https://orcid.org/0009-0006-7603-9245
Huawei YuHubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, School of Health Science and Engineering, Hubei University, Wuhan, Hubei, China, hubu.edu.cn.ORCID https://orcid.org/0009-0009-2796-1358
Yingwei LiuHubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, School of Health Science and Engineering, Hubei University, Wuhan, Hubei, China, hubu.edu.cn.ORCID https://orcid.org/0009-0003-7946-8924
Jin YangMedical School, Hubei Minzu University, Enshi, Hubei, China, hbmy.edu.cn.ORCID https://orcid.org/0009-0006-3966-8069
Lijuan SunHubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, School of Health Science and Engineering, Hubei University, Wuhan, Hubei, China, hubu.edu.cn.ORCID https://orcid.org/0000-0002-6260-5887

Funding

Hubei University XN2314National Natural Science Foundation of China 31400304National Natural Science Foundation of China 81400791National Natural Science Foundation of China 82174449
6 · The paper itself

Abstract

The global increase in Type 2 diabetes (T2D) presents a serious public health challenge. Lonicera japonica Thunb., a traditional medicinal and edible plant, is a rich source of caffeoylquinic acids (CQAs), which are naturally occurring polyphenols that have drawn considerable research interest due to their diverse biological activities, particularly their potential in the management of T2D. In this study, six CQAs were isolated from the flower buds of L. japonica using preparative HPLC, with a total yield of 0.0555 mg/g. These compounds were identified as 3-CQA, 4-CQA, 5-CQA, 3,4-DCQA, 3,5-DCQA, and 4,5-DCQA, and their structures were characterized by LC-DAD-ESI-QTOF-MS and NMR. Hypoglycemic activity was then assessed using α-glucosidase/α-amylase inhibition, glucose uptake, and hepatic glucose production assays. Network pharmacology predicted potential targets and pathways, which were then validated by dual-luciferase reporter and Western blot analyses. Results showed that CQAs selectively inhibited α-glucosidase (not α-amylase), enhanced glucose uptake, and suppressed hepatic glucose production. Among them, the di-CQAs, particularly 4,5-DCQA and 3,5-DCQA, were the most potent α-glucosidase inhibitors, with IC₅₀ values of 5.49 and 7.96 mM, respectively. Network analysis identified AKT1, PEPCK, and INSR as core targets, and PI3K/AKT, insulin, and FoxO signaling pathways as key pathways. Mechanistically, 3,5-DCQA suppressed gluconeogenesis by inhibiting PEPCK (at both promoter activity and protein levels) and downregulating CREB. It also enhanced insulin signaling via upregulation of INSR, IRS-1, and p-AKT. In conclusion, our study demonstrates that 3,5-DCQA, a key bioactive constituent of L. japonica, exerts multitarget hypoglycemic effects by coordinately regulating gluconeogenesis and insulin signaling. These findings not only provide a direct pharmacological basis for the antidiabetic potential of CQA-rich herbs but also highlight 3,5-DCQA as a promising candidate for developing novel therapeutics or adjuncts for T2D management.

Indexed as

Hypoglycemic AgentsLoniceraPlant ExtractsQuinic Acidalpha-AmylasesAnimalsDiabetes Mellitus, Type 2FlowersGluconeogenesisGlucoseGlycoside Hydrolase InhibitorsHumansLiverNetwork PharmacologySignal Transductionalpha-Amylasescaffeoylquinic acidGlucoseGlycoside Hydrolase InhibitorsHypoglycemic AgentsPlant ExtractsQuinic Acidcaffeoylquinic acidsgluconeogenesishypoglycemic activityLonicera japonica Thunb.Type 2 diabetes

Identifiers

PMID42216630
PMCPMC13239056

What Socratic 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 Socratic graph.