Evidence map›Paper›PMID 30285723›Full record

ArticleBMC complementary and alternative medicine2018

Antidiabetic activity, glucose uptake stimulation and α-glucosidase inhibitory effect of Chrysophyllum cainito L. stem bark extract.

Hau Van Doan, Siriporn Riyajan, Roongtip Iyara, Nuannoi Chudapongse

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Antidiabetic Potential ofScientifica · 2025
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  7. Chemical Constituents and Antidiabetic Activity of Dichloromethane Extract fromDiabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  8. Experimental Approaches to Diabetes Mellitus.The Eurasian journal of medicine · 2022
    Article
  9. Article
  10. The Evolution of Pharmacological ActivitiesPharmaceuticals (Basel, Switzerland) · 2022
    Review
  11. A review of alpha-glucosidase inhibitors from plants as potential candidates for the treatment of type-2 diabetes.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2022
    Review
  12. Article
  13. Article
  14. Evidence-based complementary and alternative medicine : eCAM · 2020
    Review
  15. PeerJ · 2020
    Article
  16. Article
  17. Hypoglycemic Activity ofJournal of diabetes research · 2019
    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

4 authors at 1 institution in 1 country.

Hau Van DoanSchool of Preclinical Sciences, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Siriporn RiyajanSchool of Preclinical Sciences, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Roongtip IyaraSchool of Preclinical Sciences, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Nuannoi ChudapongseSchool of Preclinical Sciences, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand. nuannoi@sut.ac.th.
Suranaree University of Technology · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChrysophyllum cainito L., a tropical fruit tree, has been used as an alternative medicine for the treatment of diabetic patients in many countries. However, there is very limited scientific rationale for this medical use. The present study aimed to evaluate the antidiabetic activity of the extract from C. cainito stem bark and the possible mechanisms underlying this activity.

methodsPhytochemistry and in vitro antioxidant capacity of the extract were studied. Hypoglycemic activity of the extract was examined in normal and alloxan-induced diabetic mice. The effect of C. cainito extract on glucose absorption and glucose uptake were conducted using mouse isolated jejunum and abdominal muscle, respectively. Finally, an in vitro effect of C. cainito extract on α-glucosidase activity was evaluated.

resultsC. cainito extract possessed a strong antioxidant activity comparable to the ascorbic acid and butylated hydroxytoluene. The extract at 500 mg/kg significantly reduced the area under curve of blood glucose level in oral glucose tolerance test in normal mice. In alloxan-induced diabetic model, similar to glibenclamide, a single dose of the extract significantly decreased fasting blood glucose level from 387.17 ± 29.84 mg/dl to 125.67 ± 62.09 mg/dl after 6 h of administration. From the isolated jejunum experiment, the extract at any doses used did not inhibit glucose absorption. However, the extract at 50 μg/ml significantly increased the amount of glucose uptake by abdominal muscles in the presence of insulin (P < 0.05). Lastly, it was found that the extract produced stronger inhibition of α-glucosidase activity (IC

conclusionDirect evidence of antidiabetic activity of C. cainito stem bark with possible modes of action, glucose uptake stimulation and α-glucosidase inhibitory effect, was reported for the first time herein. These data support the potential use of this plant for the treatment of diabetic patients.

Indexed as

alpha-GlucosidasesAnimalsBiological TransportBlood GlucoseDiabetes Mellitus, ExperimentalGlycoside Hydrolase InhibitorsHumansHypoglycemic AgentsInsulinMaleMiceMice, Inbred ICRPhytotherapyPlant BarkPlant ExtractsSapotaceaealpha-GlucosidasesBlood GlucoseGlycoside Hydrolase InhibitorsHypoglycemic AgentsInsulinPlant ExtractsAlloxanAntidiabetic activityChrysophyllum cainitoGlucose uptakeα-glucosidase

Identifiers

PMID30285723
PMCPMC6167849
OpenAlexW2893959324

What OpenQuestion holds

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LicenceCC BY
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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.