Evidence map›Paper›PMID 42282994›Full record

ReviewNew microbes and new infections2026

The challenge of HTLV-1 therapeutics: lessons from anti-protease approaches.

Sanaz Ahmadi Ghezeldasht, Raheleh Miri, Seyed Khosrow Shamsian, Arman Mosavat, Seyed Abdolrahim Rezaee

Abstract readReview
In one paragraph

Review in New microbes and new infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sanaz Ahmadi GhezeldashtBlood Borne Infections Research Center, Academic Center for Education, Culture and Research (ACECR), Mashhad, Razavi Khorasan, Iran.
Raheleh MiriBlood Borne Infections Research Center, Academic Center for Education, Culture and Research (ACECR), Mashhad, Razavi Khorasan, Iran.
Seyed Khosrow ShamsianBlood Borne Infections Research Center, Academic Center for Education, Culture and Research (ACECR), Mashhad, Razavi Khorasan, Iran.
Arman MosavatBlood Borne Infections Research Center, Academic Center for Education, Culture and Research (ACECR), Mashhad, Razavi Khorasan, Iran.
Seyed Abdolrahim RezaeeImmunology Research Center, Inflammation and Inflammatory Diseases Division, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human T-cell leukaemia virus type 1 (HTLV-1) is an oncogenic retrovirus responsible for severe diseases, including adult T-cell leukaemia/lymphoma (ATLL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). Despite its significant global prevalence, specific direct-acting antiviral therapies remain unavailable. This review comprehensively surveys the HTLV-1 protease (HTLV-1 PR), a pivotal homodimeric aspartic protease essential for viral maturation and infectivity, as a critical antiviral drug target.​ A detailed analysis of HTLV-1 PR's narrow substrate specificity, influenced by specific subsite interactions, highlights its distinction from the human immunodeficiency virus-1 protease (HIV-1 PR) and explains the limited efficacy of cross-targeting existing HIV-1 inhibitors. The review critically assesses current inhibitor development strategies, including the challenges posed by its unique structural architecture and the need for novel, HTLV-1-specific chemical scaffolds. We discuss the promise of structure-based drug design,

Indexed as

HTLV-1 anti-proteaseHTLV-1-Associated diseasesHTLV-1 protease (HTLV-1 PR)Human T-cell leukaemia virus type 1 (HTLV-1)

Identifiers

PMID42282994
PMCPMC13251506

What OpenQuestion holds

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LicenceCC BY-NC
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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.