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Facente SN, Grebe E, Maher AD, Fox D, Scheer S, Mahy M, Dalal S, Lowrance D, Marsh K. Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review. JMIR Public Health Surveill 2022; 8:e34410. [PMID: 35275085 PMCID: PMC8956992 DOI: 10.2196/34410] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/16/2022] [Accepted: 02/02/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND HIV assays designed to detect recent infection, also known as "recency assays," are often used to estimate HIV incidence in a specific country, region, or subpopulation, alone or as part of recent infection testing algorithms (RITAs). Recently, many countries and organizations have become interested in using recency assays within case surveillance systems and routine HIV testing services to measure other indicators beyond incidence, generally referred to as "non-incidence surveillance use cases." OBJECTIVE This review aims to identify published evidence that can be used to validate methodological approaches to recency-based incidence estimation and non-incidence use cases. The evidence identified through this review will be used in the forthcoming technical guidance by the World Health Organization (WHO) and United Nations Programme on HIV/AIDS (UNAIDS) on the use of HIV recency assays for identification of epidemic trends, whether for HIV incidence estimation or non-incidence indicators of recency. METHODS To identify the best methodological and field implementation practices for the use of recency assays to estimate HIV incidence and trends in recent infections for specific populations or geographic areas, we conducted a systematic review of the literature to (1) understand the use of recency testing for surveillance in programmatic and laboratory settings, (2) review methodologies for implementing recency testing for both incidence estimation and non-incidence use cases, and (3) assess the field performance characteristics of commercially available recency assays. RESULTS Among the 167 documents included in the final review, 91 (54.5%) focused on assay or algorithm performance or methodological descriptions, with high-quality evidence of accurate age- and sex-disaggregated HIV incidence estimation at national or regional levels in general population settings, but not at finer geographic levels for prevention prioritization. The remaining 76 (45.5%) described the field use of incidence assays including field-derived incidence (n=45), non-incidence (n=25), and both incidence and non-incidence use cases (n=6). The field use of incidence assays included integrating RITAs into routine surveillance and assisting with molecular genetic analyses, but evidence was generally weaker or only reported on what was done, without validation data or findings related to effectiveness of using non-incidence indicators calculated through the use of recency assays as a proxy for HIV incidence. CONCLUSIONS HIV recency assays have been widely validated for estimating HIV incidence in age- and sex-specific populations at national and subnational regional levels; however, there is a lack of evidence validating the accuracy and effectiveness of using recency assays to identify epidemic trends in non-incidence surveillance use cases. More research is needed to validate the use of recency assays within HIV testing services, to ensure findings can be accurately interpreted to guide prioritization of public health programming.
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Affiliation(s)
- Shelley N Facente
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, United States.,Facente Consulting, Richmond, CA, United States.,Vitalant Research Institute, San Francisco, CA, United States
| | - Eduard Grebe
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, United States.,Vitalant Research Institute, San Francisco, CA, United States.,South African Centre for Epidemiological Modeling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Andrew D Maher
- South African Centre for Epidemiological Modeling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.,Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States
| | - Douglas Fox
- Facente Consulting, Richmond, CA, United States
| | | | - Mary Mahy
- Strategic Information Department, The Joint United Nations Programme on HIV/AIDS (UNAIDS), Geneva, Switzerland
| | - Shona Dalal
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organisation, Geneva, Switzerland
| | - David Lowrance
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organisation, Geneva, Switzerland
| | - Kimberly Marsh
- Strategic Information Department, The Joint United Nations Programme on HIV/AIDS (UNAIDS), Geneva, Switzerland
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The relationship of antibodies detected in the Western Blot test with clinical and immunological stages in HIV-infected patients. JOURNAL OF SURGERY AND MEDICINE 2022. [DOI: 10.28982/josam.1005915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Liu P, Tang L, Kong WH, Zhu ZR, Xiao P, Wang X, Zhou W, Liu MQ. Anti-HIV-1 antibodies based confirmatory results in Wuhan, China, 2012-2018. PLoS One 2020; 15:e0238282. [PMID: 32915788 PMCID: PMC7485867 DOI: 10.1371/journal.pone.0238282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 08/13/2020] [Indexed: 11/18/2022] Open
Abstract
The number, intensity and order of emergence of HIV-1 specific antibodies in serum or plasma were associated with the stage of HIV-1 infection. In this study, we retrospectively analyzed the HIV-1 confirmatory results tested by western blot (WB) or recombination immunoblot assay (RIBA) in Wuhan, 2012-2018, to access the profiles of HIV-1 specific antibodies. A total of 14432 HIV-suspected serum or plasma samples collected from local hospitals and other HIV screening laboratories were further screened by two 4th generation enzyme-linked immunosorbent assay (ELISA) kits in our laboratory, of which 11068 specimens (76.69%) had at least one positive ELISA result and thereby were finally confirmed with WB or RIBA. RIBA had identified 652 (81.09%) positive and 13 (1.62%) indeterminate cases from July 1, 2014 to January 7, 2015, while WB had identified 8358 (81.43%) positive and 643 (6.26%) indeterminate cases in the other times during 2012-2018. The indeterminate rate of WB was significant higher than that of RIBA (p<0.001). Although the number of HIV-1 infected subjects increased significantly from 2012 (n = 911) to 2018 (n = 1578), the positive rate of HIV-1 antibodies decreased markedly from 70.08% in 2012 to 58.79% in 2018 (p<0.001). The most commonly observed antibody profile was gp160+gp120+p66+(p55+)p51+gp41+p31+p24+p17+ (4131, 49.43%) for WB-MP and gp160+gp120+gp41+p31+p24+p17+ (382, 58.59%) for RIBA-WANTAI, and the absence of reactivity to three possible serologic markers for recent HIV-1 infection, p31, p66, and p51, increased significantly from 2012 to 2018, with the overall rate of 17.03%, 9.40%, and 15.15%, respectively. The suspected acute HIV-1 infection was also observed to be increased in recent years, with an overall rate of 1.00%. Our results indicated the detection rate had decreased for HIV-1 infection, but increased for suspected recent and acute HIV-1 infection during 2012-2018, reflecting the efforts of intervention among high risk population.
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Affiliation(s)
- Pan Liu
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Li Tang
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Wen-Hua Kong
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Ze-Rong Zhu
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Peng Xiao
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Xia Wang
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Wang Zhou
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
| | - Man-Qing Liu
- Wuhan Center for Disease Control & Prevention, Wuhan, Hubei, China
- * E-mail:
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Reta DH, Tessema TS, Ashenef AS, Desta AF, Labisso WL, Gizaw ST, Abay SM, Melka DS, Reta FA. Molecular and Immunological Diagnostic Techniques of Medical Viruses. Int J Microbiol 2020; 2020:8832728. [PMID: 32908530 PMCID: PMC7474384 DOI: 10.1155/2020/8832728] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/24/2020] [Accepted: 08/15/2020] [Indexed: 01/12/2023] Open
Abstract
Viral infections are causing serious problems in human population worldwide. The recent outbreak of coronavirus disease 2019 caused by SARS-CoV-2 is a perfect example how viral infection could pose a great threat to global public health and economic sectors. Therefore, the first step in combating viral pathogens is to get a timely and accurate diagnosis. Early and accurate detection of the viral presence in patient sample is crucial for appropriate treatment, control, and prevention of epidemics. Here, we summarize some of the molecular and immunological diagnostic approaches available for the detection of viral infections of humans. Molecular diagnostic techniques provide rapid viral detection in patient sample. They are also relatively inexpensive and highly sensitive and specific diagnostic methods. Immunological-based techniques have been extensively utilized for the detection and epidemiological studies of human viral infections. They can detect antiviral antibodies or viral antigens in clinical samples. There are several commercially available molecular and immunological diagnostic kits that facilitate the use of these methods in the majority of clinical laboratories worldwide. In developing countries including Ethiopia where most of viral infections are endemic, exposure to improved or new methods is highly limited as these methods are very costly to use and also require technical skills. Since researchers and clinicians in all corners of the globe are working hard, it is hoped that in the near future, they will develop good quality tests that can be accessible in low-income countries.
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Affiliation(s)
- Daniel Hussien Reta
- School of Veterinary Medicine, Wollo University, Dessie, Ethiopia
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | - Adey Feleke Desta
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Wajana Lako Labisso
- Department of Pathology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Tebeje Gizaw
- Department of Medical Biochemistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Mequanente Abay
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Daniel Seifu Melka
- Department of Medical Biochemistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Fisseha Alemu Reta
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Biology, College of Natural and Computational Sciences, Jigjiga University, Jigjiga, Ethiopia
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Kong WH, Liu P, Tang L, Zhu ZR, Xiao P, Zhan JB, Wang X, Zhou W, Liu MQ. Estimation of the Seroconversion Duration of HIV-1 Antibodies in Individuals With Recent Infection in China. Front Microbiol 2019; 10:1322. [PMID: 31249564 PMCID: PMC6582625 DOI: 10.3389/fmicb.2019.01322] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 05/28/2019] [Indexed: 12/31/2022] Open
Abstract
The identification of recent HIV-1 infection is clinically important for the effective treatment and prevention of transmission. However, the window period for seroconversion with respect to various HIV-1 antibodies is not well characterized. In addition, the routine HIV testing algorithms are not particularly appropriate for the identification of recent HIV-1 infection. In this study, we enrolled individuals who showed seroconversion from negative Western blot (WB) or indeterminate WB results and analyzed the window periods for appearance of HIV-1 antibodies. A total of 10,934 individuals with suspected HIV infection were tested by Wuhan CDC between 2012 and 2017; of these, 40 individuals with initial negative WB and 102 individuals with initial indeterminate WB who showed positive WB results within 100 days were included in the analysis. The mean time for seroconversion was 43.90 (95% confidence interval [CI]: 37.30-50.50) days and 42.15 (95% CI: 37.99-46.30) days, respectively. The time duration for p31 seroconversion among people with negative WB and indeterminate WB was 58.11 (95% CI, 44.30-71.92) days and 51.91 (95% CI, 44.55-59.28) days, respectively, both of which were significantly longer (p = 0.0169) than those in people without p31 seroconversion. A similar difference was observed with respect to p66 seroconversion, with a window time of 53.53 (95% CI, 43.54-63.52) days and 47.87 (95% CI, 43.16-52.57) days among people with negative WB and indeterminate WB, respectively. These data suggest that HIV-1 antibody p66, like p31, may serve as a potential serological marker for distinguishing Fiebig stage V and stage VI at day 70 post-infection.
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Affiliation(s)
- Wen-Hua Kong
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Pan Liu
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Li Tang
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Ze-Rong Zhu
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Peng Xiao
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Jian-Bo Zhan
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Xia Wang
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Wang Zhou
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Man-Qing Liu
- Department of Pathogen, Wuhan Centers for Disease Prevention and Control, Wuhan, China
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