Evidence map›Paper›PMID 27527606›Full record

ArticleVirology journal2016

Highly activated p53 contributes to selectively increased apoptosis of latently HIV-1 infected cells upon treatment of anticancer drugs.

YoungHyun Shin, Hoyong Lim, Byeong-Sun Choi, Kyung-Chang Kim, Chun Kang, Yong-Soo Bae, Cheol-Hee Yoon

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  8. Hedgehog Signaling: Implications in Cancers and Viral Infections.International journal of molecular sciences · 2021
    Review
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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 2 institutions in 1 country.

YoungHyun ShinDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea.
Hoyong LimDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea.
Byeong-Sun ChoiDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea.
Kyung-Chang KimDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea.
Chun KangDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea.
Yong-Soo BaeDepartment of Biological Sciences, Sungkyunkwan University, Suwon, Republic of Korea.
Cheol-Hee YoonDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-yeup, Cheongju, Chungbuk, 363-951, South Korea. kmc755@korea.kr.ORCID 0000-0002-5696-0567
Korea National Institute of Health · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the successful inhibition of human immunodeficiency virus type 1 (HIV-1) replication by combination antiretroviral therapy, cells latently infected with HIV-1 remaining in patients are a major obstacle for eradication of HIV-1 infection. The tumor suppressor factor p53 is activated by HIV-1 infection, and restricts HIV-1 replication. However, a therapeutic strategy based on p53 activity has not been considered for elimination of latently infected cells.

methodsApoptotic cells were analyzed using flow cytometry with anti-annexin A5-FITC Ab and PI staining upon treatment of anticancer drugs. The expression and activation of p53 and apoptotic molecules in latently HIV-1-infected T cells were compared using Western blot analysis. The role of p53 in the anticancer drug treatment-induced apoptosis of cells latently infected with HIV-1 was determined by knock-down experiment using siRNA against p53.

resultsUpon treatment with 5-fluorouracil (5-FU), apoptosis was increased in latently infected ACH2 cells encoding competent p53 compared with uninfected parent A3.01 cells, while the apoptosis of latently infected p53 null J1.1 cells was less than that of uninfected cells. Treatment with 5-FU increased the levels of cleaved caspase-3 and PARP in ACH2 cells compared with uninfected and latently infected p53 null J1.1 cells. The levels of expression and activation of p53 were higher in both latently infected ACH2 and NCHA2 cells than in uninfected cells. Furthermore, the activation levels of p53 in both cells were further increased upon 5-FU treatment. Consistent with p53 status, apoptosis was markedly increased in ACH2 and NCHA2 cells compared with uninfected and latently infected J1.1 cells upon treatment with other anticancer drugs such as doxorubicin and etoposide. Inhibition of p53 in cells with latent HIV-1 infection diminished apoptosis upon 5-FU treatment.

conclusionEvidence described here indicate that when treated with anticancer drugs, apoptosis of cells with latent HIV-1 infection was increased via the p53 activation pathway and may provide information for application of anticancer drugs to selectively eliminate HIV-1 reservoirs.

Indexed as

ApoptosisAntineoplastic AgentsFlow CytometryHIV-1HumansT-LymphocytesTumor Suppressor Protein p53Virus LatencyAntineoplastic AgentsTumor Suppressor Protein p53Anticancer drugsApoptosisLatently HIV-1 infected cellsTumor suppressor p53

Identifiers

PMID27527606
PMCPMC4986278
OpenAlexW2515256948

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.