Evidence map›Paper›PMID 31514313›Full record

ReviewMolecules (Basel, Switzerland)2019

Catalpol in Diabetes and its Complications: A Review of Pharmacology, Pharmacokinetics, and Safety.

Ying Bai, Ruyuan Zhu, Yimiao Tian, Rui Li, Beibei Chen, Hao Zhang, Bingke Xia, Dandan Zhao, Fangfang Mo, Dongwei Zhang and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Enhanced Bioactivities of FermentedCurrent issues in molecular biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. The mechanism and application ofFrontiers in endocrinology · 2025
    Review
  15. Review
  16. Article
  17. The Active Ingredient Catalpol inDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  18. Review
  19. Article
  20. 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 at 1 institution in 1 country.

Ying BaiDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. bybucm@163.com.ORCID 0000-0002-7569-0099
Ruyuan ZhuDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. zhuruyuan7@163.com.
Yimiao TianDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. tymtianyimiao@126.com.
Rui LiDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. bucmlirui@163.com.
Beibei ChenDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. cbb8969@163.com.
Hao ZhangDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. zhangxiaohaoxyz@163.com.
Bingke XiaDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. xiabk1230@163.com.
Dandan ZhaoDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. bucmzhaodandan@163.com.
Fangfang MoDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. xiaofang.tcm@163.com.
Dongwei ZhangDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. dongwei1006@gmail.com.
Sihua GaoDiabetes Research Center, Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China. gaosihua1216@163.com.
Beijing University of Chinese Medicine · CN

Funding

Beijing Municipal Natural Science Foundation 7172126National Natural Science Foundation of China 81874373Program for Innovative Research Team in University IRT_17R11the Program for QiHuang Scholar in State Administration of Traditional Chinese Medicine. Sihua Gao
6 · The paper itself

Abstract

This review aimed to provide a general view of catalpol in protection against diabetes and diabetic complications, as well as its pharmacokinetics and safety concerns. The following databases were consulted with the retrieval of more than 100 publications through June 2019: PubMed, Chinese National Knowledge Infrastructure, WanFang Data, and web of science. Catalpol exerts an anti-diabetic effect in different animal models with an oral dosage ranging from 2.5 to 200 mg/kg in rats and 10 to 200 mg/kg in mice. Besides, catalpol may prevent the development of diabetic complications in kidney, heart, central nervous system, and bone. The underlying mechanism may be associated with an inhibition of inflammation, oxidative stress, and apoptosis through modulation of various cellular signaling, such as AMPK/PI3K/Akt, PPAR/ACC, JNK/NF-κB, and AGE/RAGE/NOX4 signaling pathways, as well as PKCγ and Cav-1 expression. The pharmacokinetic profile reveals that catalpol could pass the blood-brain barrier and has a potential to be orally administrated. Taken together, catalpol is a well-tolerated natural compound with promising pharmacological actions in protection against diabetes and diabetic complications via multi-targets, offering a novel scaffold for the development of anti-diabetic drug candidate. Further prospective and well-designed clinical trials will shed light on the potential of clinical usage of catalpol.

Indexed as

AnimalsDiabetes ComplicationsDiabetes MellitusDisease Models, AnimalHumansIridoid GlucosidesOrgan SpecificitycatalpolIridoid Glucosidescatalpoldiabetesdiabetic complicationspharmacokineticpharmacologysafety

Identifiers

PMID31514313
PMCPMC6767014
OpenAlexW2972606627

What OpenQuestion 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 OpenQuestion graph.