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Shing JZ, Porras C, Pinheiro M, Herrero R, Hildesheim A, Liu D, Gail MH, Romero B, Schiller JT, Zúñiga M, Mishra S, Burdette L, Jones K, Schussler J, Ocampo R, Fang J, Liu Z, Lowy DR, Tsang SH, Rodríguez AC, Schiffman M, Haas CB, Carvajal LJ, Brown JR, Kreimer AR, Mirabello L. Differential long-term bivalent HPV vaccine cross-protection by variants in the Costa Rica HPV vaccine trial. NPJ Vaccines 2024; 9:101. [PMID: 38851816 PMCID: PMC11162434 DOI: 10.1038/s41541-024-00896-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024] Open
Abstract
The AS04-adjuvanted human papillomavirus (HPV)16/18 vaccine, an L1-based vaccine, provides strong vaccine efficacy (VE) against vaccine-targeted type infections, and partial cross-protection to phylogenetically-related types, which may be affected by variant-level heterogeneity. We compared VE against incident HPV31, 33, 35, and 45 detections between lineages and SNPs in the L1 region among 2846 HPV-vaccinated and 5465 HPV-unvaccinated women through 11-years of follow-up in the Costa Rica HPV Vaccine Trial. VE was lower against HPV31-lineage-B (VE=60.7%;95%CI = 23.4%,82.8%) compared to HPV31-lineage-A (VE=94.3%;95%CI = 83.7%,100.0%) (VE-ratio = 0.64;95%CI = 0.25,0.90). Differential VE was observed at several lineage-associated HPV31-L1-SNPs, including a nonsynonymous substitution at position 6372 on the FG-loop, an important neutralization domain. For HPV35, the only SNP-level difference was at position 5939 on the DE-loop, with significant VE against nucleotide-G (VE=65.0%;95%CI = 28.0,87.8) but not for more the common nucleotide-A (VE=7.4%;95%CI = -34.1,36.7). Because of the known heterogeneity in precancer/cancer risk across cross-protected HPV genotype variants by race and region, our results of differential variant-level AS04-adjuvanted HPV16/18 vaccine efficacy has global health implications.
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Affiliation(s)
- Jaimie Z Shing
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Carolina Porras
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - Maísa Pinheiro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Rolando Herrero
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Danping Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Byron Romero
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - John T Schiller
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Michael Zúñiga
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - Sambit Mishra
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - John Schussler
- Information Management Services Inc, Silver Spring, MD, USA
| | - Rebeca Ocampo
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - Jianwen Fang
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Douglas R Lowy
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Sabrina H Tsang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Mark Schiffman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Cameron B Haas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Loretto J Carvajal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Agencia Costarricense de Investigaciones Biomédicas (ACIB), formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, San José, Costa Rica
| | - Jalen R Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Aimée R Kreimer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Kamuyu G, Coelho da Silva F, Tenet V, Schussler J, Godi A, Herrero R, Porras C, Mirabello L, Schiller JT, Sierra MS, Kreimer AR, Clifford GM, Beddows S. Global evaluation of lineage-specific human papillomavirus capsid antigenicity using antibodies elicited by natural infection. Nat Commun 2024; 15:1608. [PMID: 38383518 PMCID: PMC10881982 DOI: 10.1038/s41467-024-45807-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 02/05/2024] [Indexed: 02/23/2024] Open
Abstract
Human Papillomavirus (HPV) type variants have been classified into lineages and sublineages based upon their whole genome sequence. Here we have examined the specificity of antibodies generated following natural infection with lineage variants of oncogenic types (HPV16, 18, 31, 33, 45, 52 and 58) by testing serum samples assembled from existing archives from women residing in Africa, The Americas, Asia or Europe against representative lineage-specific pseudoviruses for each genotype. We have subjected the resulting neutralizing antibody data to antigenic clustering methods and created relational antigenic profiles for each genotype to inform the delineation of lineage-specific serotypes. For most genotypes, there was evidence of differential recognition of lineage-specific antigens and in some cases of a sufficient magnitude to suggest that some lineages should be considered antigenically distinct within their respective genotypes. These data provide compelling evidence for a degree of lineage specificity within the humoral immune response following natural infection with oncogenic HPV.
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Affiliation(s)
- Gathoni Kamuyu
- Virus Reference Department, Public Health Microbiology Division, UK Health Security Agency, London, UK
| | - Filomeno Coelho da Silva
- Virus Reference Department, Public Health Microbiology Division, UK Health Security Agency, London, UK
| | - Vanessa Tenet
- International Agency for Research on Cancer (IARC/WHO) Early Detection, Prevention and Infections Branch, Lyon, France
| | - John Schussler
- Information Management Services Inc, Silver Spring, MD, USA
| | - Anna Godi
- Virus Reference Department, Public Health Microbiology Division, UK Health Security Agency, London, UK
| | - Rolando Herrero
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Carolina Porras
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) formerly Proyecto Epidemiológico Guanacaste, Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - John T Schiller
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Mónica S Sierra
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Aimée R Kreimer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gary M Clifford
- International Agency for Research on Cancer (IARC/WHO) Early Detection, Prevention and Infections Branch, Lyon, France
| | - Simon Beddows
- Virus Reference Department, Public Health Microbiology Division, UK Health Security Agency, London, UK.
- Blood Safety, Hepatitis, Sexually Transmitted Infections and HIV Division, UK Health Security Agency, London, UK.
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Kogure G, Tanaka K, Matsui T, Onuki M, Matsumoto K, Iwata T, Kukimoto I. Intra-Patient Genomic Variations of Human Papillomavirus Type 31 in Cervical Cancer and Precancer. Viruses 2023; 15:2104. [PMID: 37896881 PMCID: PMC10612030 DOI: 10.3390/v15102104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 10/13/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023] Open
Abstract
Human papillomavirus type 31 (HPV31) is detected less frequently in cervical cancer than two major causative types, HPV16 and HPV18. Here, we report a comprehensive analysis of HPV31 genome sequences in cervical lesions collected from Japanese women. Of 52 HPV31-positive cervical specimens analyzed by deep sequencing, 43 samples yielded complete genome sequences of around 7900 base pairs and 9 samples yielded partially deleted genome sequences. Phylogenetic analysis showed that HPV31 variant distribution was lineage A in 19 samples (36.5%), lineage B in 28 samples (53.8%), and lineage C in 5 samples (9.6%), indicating that lineage B variants are dominant among HPV31 infections in Japan. Deletions in the viral genome were found in the region from the E1 to L1 genes, but all the deleted genomes retained the E6/E7 genes. Among intra-patient nucleotide variations relative to a consensus genome sequence in each sample, C-to-T substitutions were most frequently detected, followed by T-to-C and C-to-A substitutions. High-frequency, intra-patient mutations (>10%) in cervical cancer samples were found in the E1, E2, and E7 genes, and all of them were nonsynonymous substitutions. The enrichment of high-frequency nonsynonymous substitutions strongly suggests that these intra-patient mutations are positively selected during the development of cervical cancer/precancer.
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Affiliation(s)
- Gota Kogure
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo 142-8666, Japan; (G.K.); (M.O.); (K.M.)
| | - Kohsei Tanaka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-0016, Japan; (K.T.); (T.M.); (T.I.)
| | - Tomoya Matsui
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-0016, Japan; (K.T.); (T.M.); (T.I.)
| | - Mamiko Onuki
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo 142-8666, Japan; (G.K.); (M.O.); (K.M.)
| | - Koji Matsumoto
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo 142-8666, Japan; (G.K.); (M.O.); (K.M.)
| | - Takashi Iwata
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-0016, Japan; (K.T.); (T.M.); (T.I.)
| | - Iwao Kukimoto
- Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo 208-0011, Japan
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Gelbard MK, Munger K. Human papillomaviruses: Knowns, mysteries, and unchartered territories. J Med Virol 2023; 95:e29191. [PMID: 37861365 PMCID: PMC10608791 DOI: 10.1002/jmv.29191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023]
Abstract
There has been an explosion in the number of papillomaviruses that have been identified and fully sequenced. Yet only a minute fraction of these has been studied in any detail. Most of our molecular research efforts have focused on the E6 and E7 proteins of "high-risk," cancer-associated human papillomaviruses (HPVs). Interactions of the high-risk HPV E6 and E7 proteins with their respective cellular targets, the p53 and the retinoblastoma tumor suppressors, have been investigated in minute detail. Some have thus questioned if research on papillomaviruses remains an exciting and worthwhile area of investigation. However, fundamentally new insights on the biological activities and cellular targets of the high-risk HPV E6 and E7 proteins have been discovered and previously unstudied HPVs have been newly associated with human diseases. HPV infections continue to be an important cause of human morbidity and mortality and since there are no antivirals to combat HPV infections, research on HPVs should remain attractive to new investigators and biomedical funding agencies, alike.
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Affiliation(s)
- Maya K. Gelbard
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences
- Department of Developmental, Molecular and Cellular Biology, Tufts University School of Medicine, Boston, MA 02111
| | - Karl Munger
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences
- Department of Developmental, Molecular and Cellular Biology, Tufts University School of Medicine, Boston, MA 02111
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5
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Burk RD, Mirabello L, DeSalle R. Distinguishing Genetic Drift from Selection in Papillomavirus Evolution. Viruses 2023; 15:1631. [PMID: 37631973 PMCID: PMC10458755 DOI: 10.3390/v15081631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/27/2023] Open
Abstract
Pervasive purifying selection on non-synonymous substitutions is a hallmark of papillomavirus genome history, but the role of selection on and the drift of non-coding DNA motifs on HPV diversification is poorly understood. In this study, more than a thousand complete genomes representing Alphapapillomavirus types, lineages, and SNP variants were examined phylogenetically and interrogated for the number and position of non-coding DNA sequence motifs using Principal Components Analyses, Ancestral State Reconstructions, and Phylogenetic Independent Contrasts. For anciently diverged Alphapapillomavirus types, composition of the four nucleotides (A, C, G, T), codon usage, trimer usage, and 13 established non-coding DNA sequence motifs revealed phylogenetic clusters consistent with genetic drift. Ancestral state reconstruction and Phylogenetic Independent Contrasts revealed ancient genome alterations, particularly for the CpG and APOBEC3 motifs. Each evolutionary analytical method we performed supports the unanticipated conclusion that genetic drift and different evolutionary drivers have structured Alphapapillomavirus genomes in distinct ways during successive epochs, even extending to differences in more recently formed variant lineages.
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Affiliation(s)
- Robert D. Burk
- Departments of Pediatrics, Microbiology & Immunology, Epidemiology & Population Health, Obstetrics, Gynecology and Woman’s Health, and Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Robert DeSalle
- Sackler Institute of Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
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6
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Nelson CW, Mirabello L. Human papillomavirus genomics: Understanding carcinogenicity. Tumour Virus Res 2023; 15:200258. [PMID: 36812987 PMCID: PMC10063409 DOI: 10.1016/j.tvr.2023.200258] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/01/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
Human papillomavirus (HPV) causes virtually all cervical cancers and many cancers at other anatomical sites in both men and women. However, only 12 of 448 known HPV types are currently classified as carcinogens, and even the most carcinogenic type - HPV16 - only rarely leads to cancer. HPV is therefore necessary but insufficient for cervical cancer, with other contributing factors including host and viral genetics. Over the last decade, HPV whole genome sequencing has established that even fine-scale within-type HPV variation influences precancer/cancer risks, and that these risks vary by histology and host race/ethnicity. In this review, we place these findings in the context of the HPV life cycle and evolution at various levels of viral diversity: between-type, within-type, and within-host. We also discuss key concepts necessary for interpreting HPV genomic data, including features of the viral genome; events leading to carcinogenesis; the role of APOBEC3 in HPV infection and evolution; and methodologies that use deep (high-coverage) sequencing to characterize within-host variation, as opposed to relying on a single representative (consensus) sequence. Given the continued high burden of HPV-associated cancers, understanding HPV carcinogenicity remains important for better understanding, preventing, and treating cancers attributable to infection.
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Affiliation(s)
- Chase W Nelson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA; Institute for Comparative Genomics, American Museum of Natural History, New York, NY, 10024, USA.
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
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7
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Fragoso-Fonseca DE, Ruiz-Hernández UE, Trujillo-Salgado BB, Manuell-Barrios RT, Garcés-Ayala F, Del Mazo-López JC, Méndez-Tenorio A, Hernández-Rivas L, Ramírez-González JE, Escobar-Escamilla N. Analysis of the genomic diversity of human papillomavirus type 31 in cervical samples reveals the presence of novel sublineages in clade C. Arch Virol 2022; 167:2795-2800. [PMID: 36085531 DOI: 10.1007/s00705-022-05589-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/22/2022] [Indexed: 12/14/2022]
Abstract
Human papillomavirus 31 (HPV31) is the fourth most frequent high-risk HPV (HR-HPV) genotype identified in cervical cancer (CC) worldwide and in Mexico. It has been recently classified into three lineages (A, B, and C) and eight sublineages (A1, A2, B1, B2, and C1 - C4). Here, we report the complete genomic sequences of 14 HPV31 isolates from cervical samples, and these were compared with viral genome sequences from the GenBank database for phylogenetic and genetic distance analysis. The formation of two novel clades within the C lineage (proposed as C5 and C6) was observed, with a well-defined variant-specific mutational pattern. The smallest average pairwise distance was 0.71% for lineages A and B, 0.94% for lineages A and C, and 1.01% for lineages B and C, and between sublineages, these values were 0.21% for clade A, 0.29% for clade B, and 0.24% for clade C. The isolates were grouped into the sublineages A1, B2, C1-C3, and C6. This is the first report on the whole-genome diversity of HPV31 in Mexico.
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Affiliation(s)
- David Esaú Fragoso-Fonseca
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
- Laboratorio de Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas (ENCB), Instituto Politécnico Nacional (IPN), Mexico City, Mexico
| | | | - Brenda Berenice Trujillo-Salgado
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
- Facultad de Ciencia y Tecnología, Universidad Simón Bolívar, Mexico City, Mexico
| | - Rita Teresita Manuell-Barrios
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Fabiola Garcés-Ayala
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Juan Carlos Del Mazo-López
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Alfonso Méndez-Tenorio
- Laboratorio de Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas (ENCB), Instituto Politécnico Nacional (IPN), Mexico City, Mexico
| | - Lucía Hernández-Rivas
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - José Ernesto Ramírez-González
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
- Facultad de Ciencia y Tecnología, Universidad Simón Bolívar, Mexico City, Mexico
| | - Noé Escobar-Escamilla
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico.
- Facultad de Ciencia y Tecnología, Universidad Simón Bolívar, Mexico City, Mexico.
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