Evidence map›Paper›PMID 21528487›Full record

ArticleJournal of Zhejiang University. Science. B2011

Inhibitory activities of microalgal extracts against Epstein-Barr virus DNA release from lymphoblastoid cells.

Yih-Yih Kok, Wan-Loy Chu, Siew-Moi Phang, Shar Mariam Mohamed, Rakesh Naidu, Pey-Jiun Lai, Shui-Nyuk Ling, Joon-Wah Mak, Patricia Kim-Chooi Lim, Pauline Balraj and 1 more

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Metabolites · 2022
    Article
  5. Review
  6. Docking andJournal of applied phycology · 2021
    Article
  7. 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

11 authors.

Yih-Yih KokDivision of Human Biology, International Medical University, 57000 Kuala Lumpur, Malaysia.
Wan-Loy Chu
Siew-Moi Phang
Shar Mariam Mohamed
Rakesh Naidu
Pey-Jiun Lai
Shui-Nyuk Ling
Joon-Wah Mak
Patricia Kim-Chooi Lim
Pauline Balraj
Alan Soo-Beng Khoo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the inhibitory activities of methanol extracts from the microalgae Ankistrodesmus convolutus, Synechococcus elongatus, and Spirulina platensis against Epstein-Barr virus (EBV) in three Burkitt's lymphoma (BL) cell lines, namely Akata, B95-8, and P3HR-1. The antiviral activity was assessed by quantifying the cell-free EBV DNA using real-time polymerase chain reaction (PCR) technique. The methanol extracts from Ankistrodesmus convolutus and Synechococcus elongatus displayed low cytotoxicity and potent effect in reducing cell-free EBV DNA (EC(50)<0.01 µg/ml) with a high therapeutic index (>28000). After fractionation by column chromatography, the fraction from Synechococcus elongatus (SEF1) reduced the cell-free EBV DNA most effectively (EC(50)=2.9 µg/ml, therapeutic index>69). Upon further fractionation by high performance liquid chromatography (HPLC), the sub-fraction SEF1'a was most active in reducing the cell-free EBV DNA (EC(50)=1.38 µg/ml, therapeutic index>14.5). This study suggests that microalgae could be a potential source of antiviral compounds that can be used against EBV.

Indexed as

AcyclovirAntiviral AgentsBase SequenceBurkitt LymphomaCell Line, TumorChlorophytaDNA, ViralFoscarnetHerpesvirus 4, HumanHumansLymphoid Progenitor CellsMicroalgaePolymerase Chain ReactionSpirulinaSynechococcusViral LoadAcyclovirAntiviral AgentsDNA, ViralFoscarnet

Identifiers

PMID21528487
PMCPMC3087089

What OpenQuestion holds

Textmetadata
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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.