Evidence map›Paper›PMID 25902818›Full record

ArticleBMC complementary and alternative medicine2015

Effects of organic extracts and their different fractions of five Bangladeshi plants on in vitro thrombolysis.

Talha Bin Emran, Md Atiar Rahman, Mir Muhammad Nasir Uddin, Md Mominur Rahman, Md Zia Uddin, Raju Dash, Chadny Layzu

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 77 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Talha Bin EmranDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong, 4000, Bangladesh. talhabmb@gmail.com.
Md Atiar RahmanDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chittagong, 4331, Bangladesh. atiarh@yahoo.com.
Mir Muhammad Nasir UddinDepartment of Pharmacy, University of Chittagong, Chittagong, 4331, Bangladesh. nasirmir@cu.ac.bd.
Md Mominur RahmanDepartment of Pharmacy, International Islamic University Chittagong, Chittagong, 4203, Bangladesh. momin.rahman@gmail.com.
Md Zia UddinDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong, 4000, Bangladesh. zia_ctg@live.com.
Raju DashDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong, 4000, Bangladesh. rajudash.bgctub@gmail.com.
Chadny LayzuDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chittagong, 4331, Bangladesh. layzuchadny@gmail.com.
BGC Trust University Bangladesh · BDUniversity of Chittagong · BDInternational Islamic University Chittagong · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasingly high incidence of ischemic stroke caused by thrombosis of the arterial vessels is one of the major factors that threaten people's health and lives in the world. The present treatments for thrombosis are still unsatisfactory. Herbal preparations have been used since ancient times for the treatment of several diseases. The aim of this study was to investigate whether herbal preparations possess thrombolytic activity or not.

methodsAn in vitro thrombolytic model was used to check the clot lysis effect of the crude extracts and fractions of five Bangladeshi plant viz., Trema orientalis L., Bacopa monnieri L., Capsicum frutescens L., Brassica oleracea L. and Urena sinuata L. using streptokinase as a positive control and water as a negative control. Briefly, venous blood drawn from twenty healthy volunteers was allowed to form clots which were weighed and treated with the test plant materials to disrupt the clots. Weight of clot after and before treatment provided a percentage of clot lysis.

resultsUsing an in vitro thrombolytic model, different fractions of five Bangladeshi medicinal plants namely T. orientalis, B. monnieri, C. frutescens, B. oleracea and U. sinuata showed various range of clot lysis activity. Chloroform fractions of T. orientalis, B. monnieri, C. frutescens, B. oleracea and U. sinuata showed highest significant (P < 0.05 and P < 0.001) clot lysis activity viz., 46.44 ± 2.44%, 48.39 ± 10.12%, 36.87 ± .27%, 30.24 ± 0.95% and 47.89 ± 6.83% respectively compared with positive control standard streptokinase (80.77 ± 1.12%) and negative control sterile distilled water (5.69 ± 3.09%). Other fractions showed moderate to low clot lysis activity. Order of clot lysis activity was found to be: Streptokinase > Chloroform fractions > Methanol (crude) extract > Hydro-methanol fractions > Ethyl acetate fractions > n-hexane fractions > Water.

conclusionsOur study suggests that thrombolytic activity of T. orientalis, B. monnieri and U. sinuata could be considered as very promising and beneficial for the Bangladeshi traditional medicine. Lower effects of other extracts might suggest the lack of bio-active components and/or insufficient quantities in the extract. In vivo clot dissolving property and active component(s) of T. orientalis and B. monnieri for clot lysis could lead the plants for their therapeutic uses. However, further work will establish whether or not, chloroform soluble phytochemicals from these plants could be incorporated as a thrombolytic agent for the improvement of the patients suffering from atherothrombotic diseases.

Indexed as

MagnoliopsidaPhytotherapyBacopaBangladeshBrassicaCapsicumFibrinolysisFibrinolytic AgentsHumansMalvaceaePlant ExtractsPlants, MedicinalStreptokinaseStrokeThrombosisTremaFibrinolytic AgentsPlant ExtractsStreptokinase

Identifiers

PMID25902818
PMCPMC4414290
OpenAlexW2047598813

What OpenQuestion holds

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LicenceCC BY
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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.