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1.
Preprint in English | medRxiv | ID: ppmedrxiv-22268611

ABSTRACT

BackgroundProteome profile changes post-severe acute respiratory syndrome coronavirus 2 (post-SARS-CoV-2) infection in different body sites of humans remains an active scientific investigation whose solutions stand a chance of providing more information on what constitutes SARS-CoV-2 pathogenesis. While proteomics has been used to understand SARS-CoV-2 pathogenesis, there are limited data about the status of proteome profile in different human body sites infected by the sarscov2 virus. To bridge the gap, our study aims to profile the proteins secreted in urine, bronchoalveolar lavage fluid (BALF), gargle solution, and nasopharyngeal samples and assess the proteome differences in these body samples collected from SARS-CoV-2-positive patients. Materials and methodsWe downloaded publicly available proteomic data from (https://www.ebi.ac.uk/pride/). The data we downloaded had the following identifiers: i) PXD019423, n=3 from Charles Tanford Protein Center in Germany. ii) PXD018970, n=15 from Beijing Proteome Research Centre, China. iii)PXD022085, n=5 from Huazhong University of Science and Technology, China, and iv) PXD022889, n=18 from Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA. MaxQuant was used for the peptide spectral matching using humans, and SARS-CoV-2 was downloaded from the UniProt database (access date 13th October 2021). ResultsThe individuals infected with SARS-CoV-2 viruses displayed a different proteome diversity from the different body sites we investigated. Overall, we identified 1809 proteins across the four different sample types we compared. Urine and BALF samples had significantly more abundant SARS-CoV-2 proteins than the other body sites we compared. Urine samples had 257(33.7%) unique proteins, followed by nasopharyngeal with 250(32.8%) unique proteins. Garage solution and BALF had 38(5%) and 73(9.6%) unique proteins. ConclusionsUrine, gargle solution, nasopharyngeal, and bronchoalveolar lavage fluid samples have different protein diversity in individuals infected with SARS-CoV-2. Moreover, our data demonstrated that a given body site is characterized by a unique set of proteins in SARS-CoV-2 seropositive individuals.

2.
Eduan Wilkinson; Marta Giovanetti; Houriiyah Tegally; James E San; Richard Lessels; Diego Cuadros; Darren P Martin; Abdel-Rahman N Zekri; Abdoul Sangare; Abdoul Salam Ouedraogo; Abdul K Sesay; Adnene Hammami; Adrienne A Amuri; Ahmad Sayed; Ahmed Rebai; Aida Elargoubi; Alpha K Keita; Amadou A Sall; Amadou Kone; Amal Souissi; Ana V Gutierrez; Andrew Page; Arnold Lambisia; Arash Iranzadeh; Augustina Sylverken; Azeddine Ibrahimi; Bourema Kouriba; Bronwyn Kleinhans; Beatrice Dhaala; Cara Brook; Carolyn Williamson; Catherine B Pratt; Chantal G Akoua-Koffi; Charles Agoti; Collins M Moranga; James D Nokes; Daniel J Bridges; Daniel L Bugembe; Deelan Doolabh; Deogratius Ssemwanga; Derek Tshabuila; Diarra Bassirou; Dominic S.Y. Amuzu; Dominique Goedhals; Dorcas Maruapula; Edith N Ngabana; Eddy Lusamaki; Edidah Moraa; Elmostafa El Fahime; Emerald Jacob; Emmanuel Lokilo; Enatha Mukantwari; Essia Belarbi; Etienne Simon-Loriere; Etile A Anoh; Fabian Leendertz; Faida Ajili; Fares Wasfi; Faustinos T Takawira; Fawzi Derrar; Feriel Bouzid; Francisca M Muyembe; Frank Tanser; Gabriel Mbunsu; Gaetan Thilliez; Gert van Zyl; Grit Schubert; George Githinji; Gordon A Awandare; Haruka Abe; Hela H Karray; Hellen Nansumba; Hesham A Elgahzaly; Hlanai Gumbo; Ibtihel Smeti; Ikhlass B Ayed; Imed Gaaloul; Ilhem B.B. Boubaker; Inbal Gazy; Isaac Ssewanyana; Jean B Lekana-Douk; Jean-Claude C Makangara; Jean-Jacques M Tamfum; Jean M Heraud; Jeffrey G Shaffer; Jennifer Giandhari; Jingjing Li; Jiro Yasuda; Joana Q Mends; Jocelyn Kiconco; Jonathan A Edwards; John Morobe; John N Nkengasong; John Gyapong; John T Kayiwa; Jones Gyamfi; Jouali Farah; Joyce M Ngoi; Joyce Namulondo; Julia C Andeko; Julius J Lutwama; Justin O Grady; Kefenstse A Tumedi; Khadija Said; Kim Hae-Young; Kwabena O Duedu; Lahcen Belyamani; Lavanya Singh; Leonardo de O. Martins; Madisa Mine; Mahmoud el Hefnawi; Mahjoub Aouni; Maha Mastouri; Maitshwarelo I Matsheka; Malebogo Kebabonye; Manel Turki; Martin Nyaga; Matoke Damaris; Matthew Cotten; Maureen W Mburu; Maximillian Mpina; Michael R Wiley; Mohamed A Ali; Mohamed K Khalifa; Mohamed G Seadawy; Mouna Ouadghiri; Mulenga Mwenda; Mushal Allam; My V.T. Phan; Nabil Abid; Nadia Touil; Najla Kharrat; Nalia Ismael; Nedio Mabunda; Nei-yuan Hsiao; Nelson Silochi; Ngonda Saasa; Nicola Mulder; Patrice Combe; Patrick Semanda; Paul E Oluniyi; Paulo Arnaldo; Peter K Quashie; Reuben Ayivor-Djanie; Philip A Bester; Philippe Dussart; Placide K Mbala; Pontiano Kaleebu; Richard Njouom; Richmond Gorman; Robert A Kingsley; Rosina A.A. Carr; Saba Gargouri; Saber Masmoudi; Samar Kassim; Sameh Trabelsi; Sami Kammoun; Sanaa Lemriss; Sara H Agwa; Sebastien Calvignac-Spencer; Seydou Doumbia; Sheila M Madinda; Sherihane Aryeetey; Shymaa S Ahmed; Sikhulile Moyo; Simani Gaseitsiwe; Edgar Simulundu; Sonia Lekana-Douki; Soumeya Ouangraoua; Steve A Mundeke; Sumir Panji; Sureshnee Pillay; Susan Engelbrecht; Susan Nabadda; Sylvie Behillil; Sylvie van der Werf; Tarik Aanniz; Tapfumanei Mashe; Thabo Mohale; Thanh Le-Viet; Tobias Schindler; Upasana Ramphal; Magalutcheemee Ramuth; Vagner Fonseca; Vincent Enouf; Wael H Roshdy; William Ampofo; Wolfgang Preiser; Wonderful T Choga; Yaw Bediako; Yenew K. Tebeje; Yeshnee Naidoo; Zaydah de Laurent; Sofonias K Tessema; Tulio de Oliveira.
Preprint in English | medRxiv | ID: ppmedrxiv-21257080

ABSTRACT

The progression of the SARS-CoV-2 pandemic in Africa has so far been heterogeneous and the full impact is not yet well understood. Here, we describe the genomic epidemiology using a dataset of 8746 genomes from 33 African countries and two overseas territories. We show that the epidemics in most countries were initiated by importations, predominantly from Europe, which diminished following the early introduction of international travel restrictions. As the pandemic progressed, ongoing transmission in many countries and increasing mobility led to the emergence and spread within the continent of many variants of concern and interest, such as B.1.351, B.1.525, A.23.1 and C.1.1. Although distorted by low sampling numbers and blind-spots, the findings highlight that Africa must not be left behind in the global pandemic response, otherwise it could become a breeding ground for new variants.

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