Publications

@article{Lingani2024,

title = {Patterns of Non-influenza Respiratory Viruses Among Severe Acute Respiratory Infection Cases in Burkina Faso: A Surveillance Study},

author = {Moussa Lingani and Assana Ciss\'{e} and Abdoul Kader Ilboudo and Issaka Yam\'{e}ogo and Zekiba Tarnagada},

url = {https://pubmed.ncbi.nlm.nih.gov/38501305/},

doi = {10.1111/IRV.13271},

issn = {1750-2659},

year  = {2024},

date = {2024-01-01},

journal = {Influenza and other respiratory viruses},

volume = {18},

issue = {3},

publisher = {Influenza Other Respir Viruses},

abstract = {Background: Although influenza viruses cause only one-fifth of severe acute respiratory infections (SARI) in Burkina Faso, the other viral causes of SARI remain poorly investigated to inform clinical and preventive decision making. Methods: Between 2016 and 2019, we prospectively enrolled inpatients meeting the World Health Organization (WHO) case definition of SARI in Burkina Faso. Results of viral etiologies among inpatients tested negative for influenza using the Fast Track Diagnostics Respiratory Kits (FTD-33) were reported. Results: Of 1541 specimens tested, at least one respiratory virus was detected in 76.1% of the 1231 specimens negative for influenza virus. Human rhinoviruses (hRVs) were the most detected pathogens (476; 38.7%), followed by human adenoviruses (hAdV) (17.1%, 210/1231), human respiratory syncytial virus (hRSV) (15.4%, 189/1231), enterovirus (EnV) (11.2%, 138/1231), human bocavirus (hBoV) (7.9%, 97/1231), parainfluenza 3 (hPIV3) (6.1%, 75/1231), human metapneumovirus (hMPV) (6.0%,74/1321), parainfluenza 4 (hPIV4) (4.1%, 51/1231), human coronavirus OC43 (hCoV-OC43) (3.4%, 42/1231), human coronavirus HKU1(hCoV-HKU1) (2.7%, 33/1231), human coronavirus NL63 (hCoV-NL63) (2.5%, 31/1231), parainfluenza 1 (hPIV1) (2.0%, 25/1231), parainfluenza 2 (hPIV2) (1.8%, 22/1231), human parechovirus (PeV) (1.1%, 14/1231), and human coronavirus 229E (hCoV-229E) (0.9%, 11/1231). Among SARI cases, infants aged 1\textendash4 years were mostly affected (50.7%; 622/1231), followed by those \<1 year of age (35.7%; 438/1231). Most detected pathogens had year-long circulation patterns, with seasonal peaks mainly observed during the cold and dry seasons. Conclusion: Several non-influenza viruses are cause of SARI in Burkina Faso. The integration of the most common pathogens into the routine influenza surveillance system might be beneficial.},

keywords = {Assana Ciss\'{e}, Betacoronavirus, Burkina Faso / epidemiology, doi:10.1111/irv.13271, Enterovirus*, Human* / epidemiology, Humans, Infant, Influenza, MEDLINE, Moussa Lingani, National Center for Biotechnology Information, National Institutes of Health, National Library of Medicine, NCBI, NIH, NLM, Orthomyxoviridae* / genetics, Paramyxoviridae Infections* / epidemiology, PMC10949177, pmid:38501305, Pneumonia*, PubMed Abstract, Respiratory Tract Infections* / epidemiology, Viruses*, Zekiba Tarnagada},

pubstate = {published},

tppubtype = {article}

}

@article{Ouoba2024,

title = {A new tool for assessing hepatitis B treatment eligibility in Africa},

author = {Serge Ouoba and Moussa Lingani},

url = {https://pubmed.ncbi.nlm.nih.gov/38367630/},

doi = {10.1016/S2468-1253(24)00006-2},

issn = {2468-1253},

year  = {2024},

date = {2024-01-01},

journal = {The lancet. Gastroenterology \& hepatology},

volume = {9},

issue = {4},

pages = {277-278},

publisher = {Lancet Gastroenterol Hepatol},

abstract = {Commercially available assays for measuring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-spike (S) or anti-nucleocapsid (N) antibodies differ in units, making results comparisons challenging. This study aimed to develop conversion equations between five quantitative anti-S antibody tests and to assess the agreement over time between three qualitative anti-N antibody tests. Blood samples from 24 216 vaccinated healthcare workers in Hiroshima Prefecture, Japan, were analyzed for anti-S antibodies using five quantitative tests (Abbott, Fujirebio, Ortho, Sysmex, Roche) and for anti-N antibodies using three qualitative tests (Abbott, Sysmex, Roche). Geometric mean regression was performed to establish equations for converting measured values between the five quantitative tests. Fleiss κ statistic was used to assess the agreement between the three qualitative tests. A strong correlation (Pearson's coefficient r \> 0.9) was found for each pair of the five quantitative tests measuring anti-S antibodies, enabling the development of equations to convert values between each pair. Using these equations, which are based on the original output unit of each test, values obtained from one test can be transformed to be equivalent to the corresponding values in another test. For the three tests for anti-N antibodies, the agreement was substantial in the total sample (Fleiss' κ, 0.74) and moderate among those with self-reported past coronavirus disease 2019 (COVID-19) infection (Fleiss' κ, 0.39). The agreement decreased with time after infection. Reduced agreement between anti-N antibodies tests over time suggests caution in comparing seroepidemiological studies of COVID-19 exposure based on anti-N antibodies measurement. The findings could help improve antibody measurement systems and inform public health decision-makers.},

keywords = {Africa / epidemiology, Chronic* / diagnosis, Chronic* / drug therapy, Chronic* / epidemiology, Hepatitis B, Hepatitis B* / diagnosis, Hepatitis B* / drug therapy, Hepatitis B* / epidemiology, Humans, MEDLINE, Moussa Lingani, National Center for Biotechnology Information, National Institutes of Health, National Library of Medicine, NCBI, NIH, NLM, pmid:38367630, PubMed Abstract, Serge Ouoba},

pubstate = {published},

tppubtype = {article}

}

@article{Gansane2023,

title = {Randomized, open-label, phase 2a study to evaluate the contribution of artefenomel to the clinical and parasiticidal activity of artefenomel plus ferroquine in African patients with uncomplicated Plasmodium falciparum malaria},

author = {Adama Gansane and Moussa Lingani and Adoke Yeka and Alain Nahum and Marielle Bouyou-Akotet and Ghyslain Mombo-Ngoma and Grace Kaguthi and Catalina Barcel\'{o} and Bart Laurijssens and Cathy Cantalloube and Fiona Macintyre and Elhadj Djeriou and Andreas Jessel and Rapha\"{e}l Bejuit and Helen Demarest and Anne Claire Marrast and Siaka Debe and Halidou Tinto and Afizi Kibuuka and Diolinda Nahum and Denise Patricia Mawili-Mboumba and Rella Zoleko-Manego and Irene Mugenya and Frederick Olewe and Stephan Duparc and Bernhards Ogutu},

url = {https://pubmed.ncbi.nlm.nih.gov/36597076/},

doi = {10.1186/S12936-022-04420-2},

issn = {1475-2875},

year  = {2023},

date = {2023-01-01},

journal = {Malaria journal},

volume = {22},

issue = {1},

publisher = {Malar J},

abstract = {Background: The contribution of artefenomel to the clinical and parasiticidal activity of ferroquine and artefenomel in combination in uncomplicated Plasmodium falciparum malaria was investigated. Methods: This Phase 2a, randomized, open-label, parallel-group study was conducted from 11th September 2018 to 6th November 2019 across seven centres in Benin, Burkina Faso, Gabon, Kenya, and Uganda. Patients aged ≥ 14\textendash69 years with microscopically confirmed infection (≥ 3000 to ≤ 50,000 parasites/µL blood) were randomized 1:1:1:1 to 400 mg ferroquine, or 400 mg ferroquine plus artefenomel 300, 600, or 1000 mg, administered as a single oral dose. The primary efficacy analysis was a logistic regression evaluating the contribution of artefenomel exposure to Day 28 PCR-adjusted adequate clinical and parasitological response (ACPR). Safety was also evaluated. Results: The randomized population included 140 patients. For the primary analysis in the pharmacokinetic/pharmacodynamic efficacy population (N = 121), the contribution of artefenomel AUC0\textendash∞ to Day 28 PCR-adjusted ACPR was not demonstrated when accounting for ferroquine AUC0\textendashd28, baseline parasitaemia, and other model covariates: odds ratio 1.1 (95% CI 0.98, 1.2; P = 0.245). In the per-protocol population, Day 28 PCR-adjusted ACPR was 80.8% (21/26; 95% CI 60.6, 93.4) with ferroquine alone and 90.3% (28/31; 95% CI 74.2, 98.0), 90.9% (30/33; 95% CI 75.7, 98.1) and 87.1% (27/31; 95% CI 70.2, 96.4) with 300, 600, and 1000 mg artefenomel, respectively. Median time to parasite clearance (Kaplan\textendashMeier) was 56.1 h with ferroquine, more rapid with artefenomel, but similar for all doses (30.0 h). There were no deaths. Adverse events (AEs) of any cause occurred in 51.4% (18/35) of patients with ferroquine 400 mg alone, and 58.3% (21/36), 66.7% (24/36), and 72.7% (24/33) with 300, 600, and 1000 mg artefenomel, respectively. All AEs were of mild-to-moderate severity, and consistent with the known profiles of the compounds. Vomiting was the most reported AE. There were no cases of QTcF prolongation ≥ 500 ms or \> 60 ms from baseline. Conclusion: The contribution of artefenomel exposure to the clinical and parasitological activity of ferroquine/artefenomel could not be demonstrated in this study. Parasite clearance was faster with ferroquine/artefenomel versus ferroquine alone. All treatments were well tolerated. Trial registration: ClinicalTrials.gov, NCT03660839 (7 September, 2018).},

keywords = {Adama Gansane, Aminoquinolines / therapeutic use, Antimalarials* / pharmacology, Bernhards Ogutu, Clinical Trial, doi:10.1186/s12936-022-04420-2, Drug Combinations, Falciparum* / drug therapy, Falciparum* / parasitology, Humans, Malaria, MEDLINE, Moussa Lingani, National Center for Biotechnology Information, National Institutes of Health, National Library of Medicine, NCBI, NIH, NLM, Phase II, Plasmodium falciparum, PMC9809015, pmid:36597076, PubMed Abstract, Randomized controlled trial, Treatment Outcome},

pubstate = {published},

tppubtype = {article}

}