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1.
Front Immunol ; 14: 1155855, 2023.
Article in English | MEDLINE | ID: covidwho-2248397

ABSTRACT

Background: The lower burden of COVID-19 in tropical settings may be due to preexisting cross-immunity, which might vary according to geographical locations and potential exposure to other pathogens. We sought to assess the overall prevalence of SARS-CoV-2 antibodies and determine SARS-CoV-2 seropositivity according to HIV-status before the COVID-19 pandemic era. Methods: A cross-sectional and comparative study was conducted at the Chantal BIYA International Reference Centre (CIRCB) on 288 stored plasma samples (163 HIV-positive versus 125 HIV-negative); all collected in 2017-2018, before the COVID-19 pandemic era. Abbott Panbio™ COVID-19 IgG/IgM assay was used for detecting SARS-CoV-2 immunoglobulin G (IgG) and M (IgM). Among people living with HIV (PLHIV), HIV-1 viral load and TCD4 cell count (LTCD4) were measured using Abbott Real Time PCR and BD FACSCalibur respectively. Statistical analyses were performed, with p<0.05 considered statistically significant. Results: The median [IQR] age was 25 [15-38] years. Overall seropositivity to SARS-CoV-2 antibodies was 13.5% (39/288) of which 7.3% (21) was IgG, 7.3% (21) IgM and 1.0% (3) IgG/IgM. According to HIV-status in the study population, SARS-CoV-2 seropositivity was 11.0% (18/163) among HIV-positive versus 16.8% (21/125) among HIV-negative respectively, p=0.21. Specifically, IgG was 6.1% (10/163) versus 8.8% (11/125), p=0.26; IgM was 5.5% (9/163) versus 9.6%, (12/125), p=0.13 and IgG/IgM was 0.6% (1/163) versus 1.6% (2/125) respectively. Among PLHIV, SARS-CoV-2 seropositivity according to CD4 count was 9.2% (≥500 cells/µL) versus 1.8% (200-499 cells/µL), (OR=3.5; p=0.04) and 0.6% (<200 cells/µL), (OR=17.7; p<0.01). According to viral load, SARS-CoV-2 seropositivity was 6.7% (≥40 copies/mL) versus 4.9% (<40 copies/mL), (OR= 3.8; p<0.01). Conclusion: Before COVID-19 in Cameroon, cross-reactive antibodies to SARS-CoV-2 were in circulation, indicating COVID-19 preexisting immunity. This preexisting immunity may contribute in attenuating disease severity in tropical settings like Cameroon. Of relevance, COVID-19 preexisting immunity is lower with HIV-infection, specifically with viral replication and poor CD4-cell count. As poor CD4-count leads to lower cross-reactive antibodies (regardless of viral load), people living with HIV appear more vulnerable to COVID-19 and should be prioritized for vaccination.


Subject(s)
COVID-19 , Humans , Adolescent , Young Adult , Adult , COVID-19/epidemiology , COVID-19/diagnosis , SARS-CoV-2 , Pandemics , Cameroon/epidemiology , Cross-Sectional Studies , Immunoglobulin G , Antibodies, Viral , Immunoglobulin M
2.
Biosensors (Basel) ; 13(2)2023 Feb 20.
Article in English | MEDLINE | ID: covidwho-2238913

ABSTRACT

The ability to self-test for HIV is vital to preventing transmission, particularly when used in concert with HIV biomedical prevention modalities, such as pre-exposure prophylaxis (PrEP). In this paper, we review recent developments in HIV self-testing and self-sampling methods, and the potential future impact of novel materials and methods that emerged through efforts to develop more effective point-of-care (POC) SARS-CoV-2 diagnostics. We address the gaps in existing HIV self-testing technologies, where improvements in test sensitivity, sample-to-answer time, simplicity, and cost are needed to enhance diagnostic accuracy and widespread accessibility. We discuss potential paths toward the next generation of HIV self-testing through sample collection materials, biosensing assay techniques, and miniaturized instrumentation. We discuss the implications for other applications, such as self-monitoring of HIV viral load and other infectious diseases.


Subject(s)
COVID-19 , HIV Infections , Humans , Self-Testing , SARS-CoV-2 , Point-of-Care Testing
3.
Cureus ; 14(2): e22342, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1732474

ABSTRACT

Introduction As we care for patients during the coronavirus pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is important to learn and analyze the health outcomes for HIV-positive patients who have been infected with COVID-19. The clinical course and outcome of COVID-19 among patients with HIV-1 infection are still unknown and novel. Methods This is a retrospective cohort study of 34 HIV-positive patients who are diagnosed with COVID-19. The following basic demographic, clinical, and laboratory test information were collected for each patient: age, race/ethnicity, gender, CD4/viral load count before and after COVID-19 diagnosis, clinical symptoms, hospitalizations, antiretroviral medications, and comorbidities. These data were collected from the electronic health record (EHR) and recorded in the study database. Results The mean (interquartile range (IQR)) HIV viral load (RNA PCR) after COVID-19 infection was 37,170 (<20-167) copies/mL compared to 25,730 (<20-100) copies/mL before COVID-19 infection. The mean (IQR) CD4+ lymphocyte count prior to and after COVID-19 infection was 583 (101-1139) and 477 (167-821) cells/mm3, respectively. Hypertension (n = 20) was the most prevalent comorbidity found in the cohort of HIV-positive patients. Patients with HIV RNA < 20 copies/mL prior to and after COVID-19 infection were 27 (79.3%) and 17 (73.7%), respectively. Conclusion As the pandemic situation keeps on evolving, there will be new findings on how people living with HIV might be affected by SARS-CoV-2. Our findings highlight the importance of larger sample size studies to better understand the management of HIV-positive patients in a pandemic situation.

4.
Healthcare (Basel) ; 9(10)2021 Sep 23.
Article in English | MEDLINE | ID: covidwho-1480690

ABSTRACT

The current study evaluated the progress of continuum healthcare for patients living with human immunodeficiency virus (HIV) infection from Cluj County in two moments, 2016 and 2020, and compared the results to the Fast-Track targets (FTTs) proposed by the Joint United Nations Programme (UNAIDS) on HIV/AIDS. By the end of 2020, 368 out of 385 confirmed HIV-positive patients from Cluj County were under surveillance in our center, representing almost 95% of the patients living with HIV and knowing their diagnosis, compared to 87.9% in 2016. Nearly 97% of those in active follow-up from Cluj County were under antiretroviral therapy (ART) in 2020, compared to 89% in 2016. The number of virally suppressed patients from those under ART was almost 94% in 2020, compared to 82.7% in 2016, and the increase is observed regardless of the ART regime. A shift towards integrase strand transfer inhibitors, with a higher efficacy, fewer adverse effects, and fewer drug interactions, is observed, which could contribute to the decrease in HIV transmission.

5.
Diagnostics (Basel) ; 11(2)2021 Jan 22.
Article in English | MEDLINE | ID: covidwho-1052497

ABSTRACT

The tiered laboratory framework for human immunodeficiency virus (HIV) viral load monitoring accommodates a range of HIV viral load testing platforms, with quality assessment critical to ensure quality patient testing. HIV plasma viral load testing is challenged by the instability of viral RNA. An approach using an RNA stabilizing buffer is described for the Xpert® HIV-1 Viral Load (Cepheid) assay and was tested in remote laboratories in South Africa. Plasma panels with known HIV viral titres were prepared in PrimeStore molecular transport medium for per-module verification and per-instrument external quality assessment. The panels were transported at ambient temperatures to 13 testing laboratories during 2017 and 2018, tested according to standard procedures and uploaded to a web portal for analysis. A total of 275 quality assessment specimens (57 verification panels and two EQA cycles) were tested. All participating laboratories met study verification criteria (n = 171 specimens) with an overall concordance correlation coefficient (ρc) of 0.997 (95% confidence interval (CI): 0.996 to 0.998) and a mean bias of -0.019 log copies per milliliter (cp/mL) (95% CI: -0.044 to 0.063). The overall EQA ρc (n = 104 specimens) was 0.999 (95% CI: 0.998 to 0.999), with a mean bias of 0.03 log cp/mL (95% CI: 0.02 to 0.05). These panels are suitable for use in quality monitoring of Xpert® HIV-1 VL and are applicable to laboratories in remote settings.

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