Integrative Assessment of Total and Intact HIV-1 Reservoir by a 5-Region Multiplexed Rainbow DNA Digital PCR Assay.

IF 7.1 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Mareva Delporte, Laurens Lambrechts, Evy E Blomme, Willem van Snippenberg, Sofie Rutsaert, Maxime Verschoore, Evelien De Smet, Ytse Noppe, Nele De Langhe, Marie-Angélique De Scheerder, Sarah Gerlo, Linos Vandekerckhove, Wim Trypsteen
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引用次数: 0

Abstract

Background: Persistent latent reservoirs of intact HIV-1 proviruses, capable of rebounding despite suppressive antiretroviral therapy (ART), hinder efforts towards an HIV-1 cure. Hence, assays specifically quantifying intact proviruses are crucial to assess the impact of curative interventions. Two recent assays have been utilized in clinical trials: intact proviral DNA assay (IPDA) and quadruplex quantitative PCR (Q4PCR). While IPDA is more sensitive due to amplifying short fragments, it may overestimate intact fractions by relying only on quantification of 2 proviral regions. Q4PCR samples 4 proviral regions, yet is sequencing-based, favoring amplification of shorter, hence non-intact, proviral sequences.

Methods: Leveraging digital PCR (dPCR) advancements, we developed the "Rainbow" 5-plex proviral HIV-1 DNA assay. This first-in-its-kind assay was evaluated using standard materials and samples from 83 people living with HIV-1, enabling simultaneous quantification of both total and intact HIV-1 DNA levels. HIV proviral unique molecular identifier (UMI)-mediated long-read sequencing (HIV-PULSE) was used to validate the specificity of the Rainbow HIV-1 DNA assay.

Results: The Rainbow assay proved equally sensitive but more specific than IPDA and is not subjected to bias against full-length proviruses, enabling high-throughput quantification of total and intact reservoir size. The near full-length sequences allowed validation of the Rainbow specificity and the design of personalized Rainbow primer/probe sets, which enabled the detection of intact HIV-1 DNA.

Conclusions: This innovation offers potential for targeted evaluation and monitoring of potential rebound-competent reservoirs, contributing to HIV-1 management and cure strategies. ClinicalTrials.gov Registration Numbers: NCT04553081, NCT04305665.

用5区多路彩虹DNA数字PCR法综合评估总HIV-1库和完整HIV-1库
背景:尽管抗逆转录病毒抑制治疗(ART),完整HIV-1前病毒的持续潜伏库仍能反弹,这阻碍了HIV-1治愈的努力。因此,对完整原病毒进行定量分析对于评估治疗性干预措施的影响至关重要。最近在临床试验中使用了两种检测方法:完整前病毒DNA检测(IPDA)和四重定量PCR (Q4PCR)。虽然IPDA由于扩增短片段而更加敏感,但仅依赖于2个原区域的定量可能会高估完整部分。Q4PCR取样4个原病毒区域,但基于测序,有利于扩增较短的,因此不完整的原病毒序列。方法:利用数字PCR (dPCR)技术的进步,我们开发了“彩虹”5-plex HIV-1前病毒DNA检测。使用83名HIV-1感染者的标准材料和样本对这种首创的检测方法进行了评估,从而能够同时量化总HIV-1 DNA水平和完整的HIV-1 DNA水平。HIV前病毒唯一分子标识符(UMI)介导的长读测序(HIV- pulse)用于验证彩虹HIV-1 DNA检测的特异性。结果:与IPDA相比,Rainbow测定法同样敏感,但特异性更高,并且不会对全长原病毒产生偏倚,从而实现了对总体和完整储层大小的高通量定量。接近全长的序列验证了Rainbow的特异性,并设计了个性化的Rainbow引物/探针集,从而能够检测完整的HIV-1 DNA。结论:这一创新为有针对性地评估和监测潜在的具有回弹能力的储层提供了可能,有助于制定HIV-1的管理和治愈策略。ClinicalTrials.gov注册号:NCT04553081, NCT04305665。
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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