Preventing bad behavior in academia.

We gave young scientists this prompt: Describe one change to scientific policy or culture that would substantially decrease incidents of scientific misconduct or other unethical behavior.

Ethics and governance challenges related to genomic data sharing in southern Africa: the case of SARS-CoV-2.

Data sharing in research is fraught with controversy. Academic success is premised on competitive advantage, with research teams protecting their research findings until publication. Research funders, by contrast, often require data sharing. Beyond traditional research and funding requirements, surveillance data have become contentious. Public health emergencies involving pathogens require intense genomic surveillance efforts and call for the rapid sharing of data on the basis of public interest. Under these circumstances, timely sharing of data becomes a matter of scientific integrity. During the COVID-19 pandemic, the transformative potential of genomic pathogen data sharing became obvious and advanced the debate on data sharing. However, when the genomic sequencing data of the omicron (B.1.1.529) variant was shared and announced by scientists in southern Africa, various challenges arose, including travel bans. The scientific, economic, and moral impact was catastrophic. Yet, travel restrictions failed to mitigate the spread of the variant already present in countries outside Africa. Public perceptions of the negative effect of data sharing are detrimental to the willingness of research participants to consent to sharing data in postpandemic research and future pandemics. Global health governance organisations have an important role in developing guidance on responsible sharing of genomic pathogen data in public health emergencies.

COVID-19 underscores the important role of Clinical Ethics Committees in Africa.

BACKGROUND: The COVID-19 pandemic has magnified pre-existing challenges in healthcare in Africa. Long-standing health inequities, embedded in the continent over centuries, have been laid bare and have raised complex ethical dilemmas. While there are very few clinical ethics committees (CECs) in Africa, the demand for such services exists and has increased during the COVID-19 pandemic. The views of African healthcare professionals or bioethicists on the role of CECs in Africa have not been explored or documented previously. In this study, we aim to explore such perspectives, as well as the challenges preventing the establishment of CECs in Africa. METHODS: Twenty healthcare professionals and bioethicists from Africa participated in this qualitative study that utilized in-depth semi-structured interviews with open-ended questions. Themes were identified through thematic analysis of interviews and open-ended responses. RESULTS: Kenya and South Africa are the only countries on the continent with formal established CECs. The following themes emerged from this qualitative study: (1) Lack of formal CECs and resolution of ethical dilemmas; (2) Role of CECs during COVID-19; (3) Ethical dilemmas presented to CECs pre-COVID-19; (4) Lack of awareness of CECs; (5) Lack of qualified bioethicists or clinical ethicists; (6) Limited resources to establish CECs; (7) Creating interest in CECs and networking. CONCLUSIONS: This study illustrates the importance of clinical ethics education among African HCPs and bioethicists, more so now when COVID-19 has posed a host of clinical and ethical challenges to public and private healthcare systems. The challenges and barriers identified will inform the establishment of CECs or clinical ethics consultation services (CESs) in the region. The study results have triggered an idea for the creation of a network of African CECs.

Preinvasive cervical lesions and high prevalence of human papilloma virus among pregnant women in Cameroon.

INTRODUCTION: With the exception of breast cancer, gynecologic neoplasms constitute the most common cancers that complicate pregnancy. Pregnancy therefore presents a window of opportunity for all pregnant women who do not take part in routine free cervical cancer screening program to undergo a free voluntary cytological test and human papillomavirus (HPV) DNA testing. This study aimed to determine prevalent HPV genotypes among pregnant women using exfoliated cells from cervical swabs and determine risk factors responsible for the upsurge of cervical precancerous lesions. METHODS: In a cross-sectional study conducted from October 2017 to March 2018, a total of 482 pregnant women were enrolled. Cervical swabs and samples for cytology were collected from each enrolled participant during their routine prenatal consultation. The Papanicolaou's (Pap) staining technique was performed and all cervical swab samples were amplified through conventional PCR. HPV genotypes were identified using the Roche Linear Array Genotyping Assay. SAS 9.2 software (SAS Institute Inc., USA) was used for statistical analysis and p values >0.05 were considered significant. RESULTS: Among the 482 participants, 354 (73.4%) had normal cytology and 128 (26.6%) had abnormal cytology. HPV DNA was identified in 62/464 (13.4%). The most prominent HPV types identified were HPV 16 (24%), HPV 18 (36.4%), HPV 45 (28%), HPV 53 (18.9%) and HPV 67 (24.3%). Early intercourse, number of sexual partners and age at first pregnancy were some of the risk factors that influenced the etiology of preinvasive cervical lesion. CONCLUSIONS: Prevalent HPV types identified in our study were HPV 16, 18, 45, 53 and 67. Organizing effective screening programs in prenatal care facilities is crucial in order to detect prevalent HR-HPV types and precursors for cervical lesions. The addition of HPV vaccination in the national immunization program with focus on the different epidemiological HPV genotypes circulating in the country is warranted.

Increased acquired protease inhibitor drug resistance mutations in minor HIV-1 quasispecies from infected patients suspected of failing on national second-line therapy in South Africa.

BACKGROUND: HIV-1C has been shown to have a greater risk of virological failure and reduced susceptibility towards boosted protease inhibitors (bPIs), a component of second-line combination antiretroviral therapy (cART) in South Africa. This study entailed an evaluation of HIV-1 drug resistance-associated mutations (RAMs) among minor viral populations through high-throughput sequencing genotypic resistance testing (HTS-GRT) in patients on the South African national second-line cART regimen receiving bPIs. METHODS: During 2017 and 2018, 67 patient samples were sequenced using high-throughput sequencing (HTS), of which 56 samples were included in the final analysis because the patient's treatment regimen was available at the time of sampling. All patients were receiving bPIs as part of their cART. Viral RNA was extracted, and complete pol genes were amplified and sequenced using Illumina HiSeq2500, followed by bioinformatics analysis to quantify the RAMs according to the Stanford HIV Drug Resistance Database. RESULTS: Statistically significantly higher PI RAMs were observed in minor viral quasispecies (25%; 14/56) compared to non-nucleoside reverse transcriptase inhibitors (9%; 5/56; p = 0.042) and integrase inhibitor RAM (4%; 2/56; p = 0.002). The majority of the drug resistance mutations in the minor viral quasispecies were observed in the V82A mutation (n = 13) in protease and K65R (n = 5), K103N (n = 7) and M184V (n = 5) in reverse transcriptase. CONCLUSIONS: HTS-GRT improved the identification of PI and reverse transcriptase inhibitor (RTI) RAMs in second-line cART patients from South Africa compared to the conventional GRT with ≥20% used in Sanger-based sequencing. Several RTI RAMs, such as K65R, M184V or K103N and PI RAM V82A, were identified in < 20% of the population. Deep sequencing could be of greater value in detecting acquired resistance mutations early.

Allocation of scarce resources in Africa during COVID-19: Utility and justice for the bottom of the pyramid?

The COVID-19 pandemic has raised important universal public health challenges. Conceiving ethical responses to these challenges is a public health imperative but must take context into account. This is particularly important in sub-Saharan Africa (SSA). In this paper, we examine how some of the ethical recommendations offered so far in high-income countries might appear from a SSA perspective. We also reflect on some of the key ethical challenges raised by the COVID-19 pandemic in low-income countries suffering from chronic shortages in health care resources, and chronic high morbidity and mortality from non-COVID-19 causes. A parallel is drawn between the distribution of severity of COVID-19 disease and the classic "Fortune at the bottom of the pyramid" model that is relevant in SSA. Focusing allocation of resources during COVID-19 on the 'thick' part of the pyramid in Low-to-Middle Income Countries (LMICs) could be ethically justified on utilitarian and social justice grounds, since it prioritizes a large number of persons who have been economically and socially marginalized. During the pandemic, importing allocation frameworks focused on the apex of the pyramid from the global north may therefore not always be appropriate. In a post-COVID-19 world, we need to think strategically about how health care systems can be financed and structured to ensure broad access to adequate health care for all who need it. The root problems underlying health inequity, exposed by COVID-19, must be addressed, not just to prepare for the next pandemic, but to care for people in resource poor settings in non-pandemic times.

Clinical Ethics Committees in Africa: lost in the shadow of RECs/IRBs?

BACKGROUND: Clinical Ethics Committees (CECs) are well established at healthcare institutions in resource-rich countries. However, there is limited information on established CECs in resource poor countries, especially in Africa. This study aimed to establish baseline data regarding existing formal CECs in Africa to raise awareness of and to encourage the establishment of CECs or Clinical Ethics Consultation Services (CESs) on the continent. METHODS: A descriptive study was undertaken using an online questionnaire via SunSurveys to survey healthcare professionals and bioethicists in Africa. Data were subjected to descriptive analysis and Fischer's exact test was applied to determine associations. Texts from the open-ended questions were thematically analysed. RESULTS: In total 109 participants from 37 African countries completed the survey in December 2019. A significant association was found between participants' bioethics qualification or training and involvement in clinical ethics (p = 0.005). All participants were familiar with Research Ethics Committees (RECs), and initially conflated RECs with CECs. When CECs were explained in detail, approximately 85.3% reported that they had no formal CECs in their institutions. The constraints to developing CECs included lack of training, limited resources, and lack of awareness of CECs. However, the majority of participants (81.7%) were interested in establishing CECs. Participants listed assistance required in establishing CECs including funding, resources, capacity building and collaboration with other known CECs. The results do not reflect CECs established since the onset of COVID-19 in Africa. CONCLUSIONS: This study provides a first look into CECs in Africa and found very few formal CECs on the continent indicating an urgent need for the establishment of CECs or CESs in Africa. While the majority of healthcare professionals and bioethicists are aware of ethical dilemmas in healthcare, the concept of formal CECs is foreign. This study served to raise awareness of CECs. Research ethics and RECs overshadow CECs in Africa because international funders from the global north support capacity development in research ethics and establish RECs to approve the research they fund in Africa. Raising awareness via educational opportunities, research and conferences about CECs and their role in improving the quality of health care in Africa is sorely needed.

Structural Comparison of Diverse HIV-1 Subtypes using Molecular Modelling and Docking Analyses of Integrase Inhibitors.

The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-naïve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.

Correction: Molecular dynamic simulations to investigate the structural impact of known drug resistance mutations on HIV-1C Integrase-Dolutegravir binding.

[This corrects the article DOI: 10.1371/journal.pone.0223464.].

What Could "Fair Allocation" during the Covid-19 Crisis Possibly Mean in Sub-Saharan Africa?

The Covid-19 pandemic has sparked rapid and voluminous production of bioethics commentary in popular media and academic publications. Many of the discussions are new twists on an old theme: how to fairly allocate scarce medical resources, such as ventilators and intensive care unit beds. In this essay, we do not add another allocation scheme to the growing pile, partly out of appreciation that such schemes should be products of inclusive and transparent community engagement and partly out of recognition of their limited utility for physicians working in the field. Instead, we make the more modest claim that context matters when making such decisions and, more specifically, that recommendations from high-income countries about fair allocation during Covid-19 should not be cut and pasted into low-income settings. We offer a few examples of why seemingly universal, well-intentioned ethical recommendations could have adverse consequences if unreflectively applied in sub-Saharan Africa.

Molecular dynamic simulations to investigate the structural impact of known drug resistance mutations on HIV-1C Integrase-Dolutegravir binding.

Resistance associated mutations (RAMs) threaten the long-term success of combination antiretroviral therapy (cART) outcomes for HIV-1 treatment. HIV-1 Integrase (IN) strand transfer inhibitors (INSTIs) have proven to be a viable option for highly specific HIV-1 therapy. The INSTI, Dolutegravir is recommended by the World Health Organization for use as first-line cART. This study aims to understand how RAMs affect the stability of IN, as well as the binding of the drug Dolutegravir to the catalytic pocket of the protein. A homology model of HIV-1 subtype C IN was successfully constructed and validated. The site directed mutator webserver was used to predict destabilizing and/or stabilizing effects of known RAMs while FoldX confirmed any changes in protein energy upon introduction of mutation. Also, interaction analysis was performed between neighbouring residues. Three mutations known to be associated with Raltegravir, Elvitegravir and Dolutegravir resistance were selected; E92Q, G140S and Y143R, for molecular dynamics simulations. The structural quality assessment indicated high reliability of the HIV-1C IN tetrameric structure, with more than 90% confidence in modelled regions. Change in free energy for the three mutants indicated different effects, while simulation analysis showed G140S to have the largest affect on protein stability and flexibility. This was further supported by weaker non-bonded pairwise interaction energy and binding free energy values between the drug DTG and E92Q, Y143R and G140S mutants suggesting reduced binding affinity, as indicated by interaction analysis in comparison to the WT. Our findings suggest the G140S mutant has the strongest effect on the HIV-1C IN protein structure and Dolutegravir binding. To the best of our knowledge, this is the first study that uses the consensus wild type HIV-1C IN sequence to build an accurate 3D model to understand the effect of three known mutations on DTG drug binding in a South Africa context.

Drug Resistance Mutations Against Protease, Reverse Transcriptase and Integrase Inhibitors in People Living With HIV-1 Receiving Boosted Protease Inhibitors in South Africa.

The South African national combination antiretroviral therapy (cART) roll-out program started in 2006, with over 4.4 million people accessing treatment since it was first introduced. HIV-1 drug resistance can hamper the success of cART. This study determined the patterns of HIV-1 drug-resistance associated mutations (RAMs) in People Living with HIV-1 (PLHIV-1). Receiving first (for children below 3 years of age) and second-line (for adults) cART regimens in South Africa. During 2017 and 2018, 110 patients plasma samples were selected, 96 samples including those of 17 children and infants were successfully analyzed. All patients were receiving a boosted protease inhibitor (bPI) as part of their cART regimen. The viral sequences were analyzed for RAMs through genotypic resistance testing. We performed genotypic resistance testing (GRT) for Protease inhibitors (PIs), Reverse transcriptase inhibitors (RTIs) and Integrase strand transfer inhibitors (InSTIs). Viral sequences were subtyped using REGAv3 and COMET. Based on the PR/RT sequences, HIV-1 subtypes were classified as 95 (99%) HIV-1 subtype C (HIV-1C) while one sample as 02_AG. Integrase sequencing was successful for 89 sequences, and all the sequences were classified as HIV-1C (99%, 88/89) except one sequence classified CRF02_AG, as observed in PR/RT. Of the 96 PR/RT sequences analyzed, M184V/I (52/96; 54%) had the most frequent RAM nucleoside reverse transcriptase inhibitor (NRTI). The most frequent non-nucleoside reverse transcriptase inhibitor (NNRTI) RAM was K103N/S (40/96, 42%). Protease inhibitor (PI) RAMs M46I and V82A were present in 12 (13%) of the sequences analyzed. Among the InSTI major RAM two (2.2%) sequences have Y143R and T97A mutations while one sample had T66I. The accessory RAM E157Q was identified in two (2.2%). The data indicates that the majority of the patients failed on bPIs didn't have any mutation; therefore adherence could be major issue in these groups of individuals. We propose continued viral load monitoring for better management of infected PLHIV.

HIV-1 Integrase Diversity and Resistance-Associated Mutations and Polymorphisms Among Integrase Strand Transfer Inhibitor-Naive HIV-1 Patients from Cameroon.

The World Health Organization (WHO) has put forth recommendations for the use of integrase (IN) strand transfer inhibitors (INSTIs) to be part of the first-line combination antiretroviral therapy regimen to treat HIV infections. The knowledge of pretreatment drug resistance against INSTIs is still scarce in resource-limited settings (RLS). We characterized the integrase gene to identify resistance-associated mutations (RAMs) in 56 INSTI-naive patient viral sequences from Cameroon. Study analysis used 37 sequences with fragment size ≥500 bp or of good quality .The majority of the sequences were identified as CRF02_AG 54.% (n = 20/37) and 45.9% (n = 17/37), other subtype viral sequences include (A, CRF36_cpx, F,G, and C). A total of 18.9% (n = 7/37) of the sequences had RAMs, with only 5.4% (n = 2/37) having major RAMs (Y143R/C/D/G and P145S), against INSTIs. Accessory RAMs were present in 8.1% (n = 3/37) of the sequences, of which one sequence contained solely E157Q, and another Q95K. One patient sequence had three accessory RAMs (G140E, E157Q, and G163R). We identified major RAMs to INSTIs, which might have a potential clinical impact to dolutegravir rollout in RLS, including Cameroon. This is the first study to describe RAMs among INSTI-naive people living with HIV-1 (PLHIV-1) infected with CRF02_AG and other subtypes in Cameroon.

Near full-length HIV-1 subtype B sequences from the early South African epidemic, detecting a BD unique recombinant form (URF) from a sample in 1985.

HIV-1 subtype C is the most prevalent subtype in South Africa. Although subtype B was previously detected in South Africa, there is limited sequence information available. We characterized near full-length HIV-1 subtype B sequences from samples collected at the start of the South African HIV-1 epidemic, in the 1980s. Five samples were analysed by PCR amplification, Sanger DNA sequencing and phylogenetic analyses. The viral genomes were amplified in two overlapping fragments of 5.5 kb and 3.7 kb. The sequences were subtyped using REGA version 3.0, RIP version 3.0 and jpHMM. Maximum Likelihood phylogenetic trees were inferred with MEGA version 6. Four HIV-1 patient sequences were subtyped as pure HIV-1 subtype B. One sequence was characterized as a novel HIV-1 subtype B and D recombinant. The sequences clustered phylogenetically with other HIV-1 subtype B sequences from South Africa, Europe and the USA. We report the presence of an HIV-1 subtype B and D recombinant strain detected in the beginning of the epidemic. This indicates that viral recombination events were already happening in 1985, but could have been missed as sequence analyses were often limited to small genomic regions of HIV-1.

Mutations in Long Terminal Repeats κB Transcription Factor Binding Sites in Plasma Virus Among South African People Living with HIV-1.

HIV-1 subtype C (HIV-1C) is responsible for the majority of infections in sub-Saharan Africa. We selected 63 plasma-derived samples and generated long terminal repeats (LTRs) amplicons from people living with HIV in South Africa to identify transcription factor binding sites. NF-κB plays an important role in regulating the viral gene expression from the viral promoter and controlling viral latency. LTR amplicons were sequenced and phylogenetically analyzed. In our data set, we identified F-κB sites (n = 4; 6%) at position II and (n = 1; 1%) at position I among 63 sequences analyzed. The majority of the sequences identified with H-κB at position II (n = 50; 79%) and position I (n = 55; 87%). Forty-nine (n = 49; 78%) sequences were found to exhibit C-κB site. ZA_LTR052 was identified with a single point mutation. We identified all three NF-κB-binding sites in (n = 44; 70%) the viral promoter-enhancer regions in South African patients.

Author Correction: Analyses of HIV-1 integrase sequences prior to South African national HIV-treatment program and availability of integrase inhibitors in Cape Town, South Africa.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Analyses of HIV-1 integrase sequences prior to South African national HIV-treatment program and available of integrase inhibitors in Cape Town, South Africa.

HIV-Integrase (IN) has proven to be a viable target for highly specific HIV-1 therapy. We aimed to characterize the HIV-1 IN gene in a South African context and identify resistance-associated mutations (RAMs) against available first and second generation Integrase strand-transfer inhibitors (InSTIs). We performed genetic analyses on 91 treatment-naïve HIV-1 infected patients, as well as 314 treatment-naive South African HIV-1 IN-sequences, downloaded from Los Alamos HIV Sequence Database. Genotypic analyses revealed the absence of major RAMs in the cohort collected before the broad availability of combination antiretroviral therapy (cART) and INSTI in South Africa, however, occurred at a rate of 2.85% (9/314) in database derived sequences. RAMs were present at IN-positions 66, 92, 143, 147 and 148, all of which may confer resistance to Raltegravir (RAL) and Elvitegravir (EVG), but are unlikely to affect second-generation Dolutegravir (DTG), except mutations in the Q148 pathway. Furthermore, protein modeling showed, naturally occurring polymorphisms impact the stability of the intasome-complex and therefore may contribute to an overall potency against InSTIs. Our data suggest the prevalence of InSTI RAMs, against InSTIs, is low in South Africa, but natural polymorphisms and subtype-specific differences may influence the effect of individual treatment regimens.