Evidence map›Paper›PMID 35493505›Full record

ArticleFrontiers in immunology2022

A New Flow Cytometry-Based Single Platform for Universal and Differential Serodiagnosis of HTLV-1/2 Infection.

Luciene Pimenta de Paiva, Jordana Grazziela Alves Coelho-Dos-Reis, Bruno Caetano Trindade, Vanessa Peruhype-Magalhães, Márcio Sobreira Silva Araújo, Juan Jonathan Gonçalves, Ana Caroline Nogueira-Souza, Júlia Pereira Martins, Ágata Lopes Ribeiro, Ana Lucia Starling and 7 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Luciene Pimenta de PaivaInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Jordana Grazziela Alves Coelho-Dos-ReisInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Bruno Caetano TrindadeInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Vanessa Peruhype-MagalhãesInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Márcio Sobreira Silva AraújoInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Juan Jonathan GonçalvesInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Ana Caroline Nogueira-SouzaInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Júlia Pereira MartinsInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Ágata Lopes RibeiroInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Ana Lucia StarlingFaculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Luiz Carlos Júnior AlcântaraInstituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ)/RJ, Rio de Janeiro, Brazil.
Maísa Aparecida RibeiroFundação Centro de Hematologia e Hemoterapia do Estado de Minas Gerais- Hemominas (HEMOMINAS), Belo Horizonte, Brazil.
Anna Bárbara de Freitas Carneiro-ProiettiFundação Centro de Hematologia e Hemoterapia do Estado de Minas Gerais- Hemominas (HEMOMINAS), Belo Horizonte, Brazil.
Ester Cerdeira SabinoUniversidade de São Paulo, Ribeirão Preto, Brazil.
Kelly Alves BicalhoInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Andréa Teixeira-CarvalhoInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.
Olindo Assis Martins-FilhoInstituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ)-Minas, Belo Horizonte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, we developed and evaluated the performance of a new flow cytometry-based single platform, referred to as "FC-Duplex IgG1 (HTLV-1/2)", for universal and differential serodiagnosis of HTLV-1/2 infection. The proposed technology employs a system for detection of IgG1 antibodies in a single competitive immunofluorescence platform by flow cytometry using fluorescently labeled MT-2/MoT cell line mix coupled to a highly sensitive development system (Biotin/Streptavidin/Phycoerythrin). The stability of fluorescent labeling and the antigenicity of MT-2 and MoT cell lines were confirmed upon storage at -20°C for 2, 6, and 12 months. The anti-HTLV-1/2 IgG1 reactivity, expressed as percentage of positive fluorescent cells (PPFC), was evaluated for each target antigen along the titration curve of test serum samples (1:32 to 1:4,096). Upon selection of target cell line and serum dilutions with higher segregation score between groups, the performance of "FIX" and "FIX & PERM" protocols was evaluated. The "FIX" protocol presented excellent performance indices (Se = 92%/Sp = 94%/AUC = 0.96; Se = 96%/Sp = 100%/AUC = 0.99) for the universal (HTLV-1/2 vs. NI) and differential (HTLV-1 vs. HTLV-2) diagnosis of HTLV-1 infection, respectively. Optimization of the "FIX" protocol using the principle of synchronous and asynchronous pairwise analysis further improved the performance of "FC-Duplex IgG1 (HTLV-1/2)", using the "FIX" protocol for differential diagnosis of HTLV-1 and HTLV-2 infections (Se = 100%/Sp = 100%/AUC = 1.00). In conclusion, the "FC-Duplex IgG1 (HTLV-1/2)" method represents an innovation in the biotechnology segment with the potential to compose a serological kit for differential diagnosis of HTLV-1/2 infection for reference laboratories and blood centers.

Indexed as

HTLV-I InfectionsHuman T-lymphotropic virus 1Flow CytometryHumansImmunoglobulin GSerologic TestsImmunoglobulin Gcompetitive assayflow cytometryHTLVHTLV-1/2universal and differential diagnosis

Identifiers

PMID35493505
PMCPMC9047958

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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.