1
|
Fantilli AC, Masachessi G, Cola GD, Castro G, Sicilia P, Marinzalda MDLA, Cachi AM, Moreno C, Borda M, Ibarra G, Rojas RM, Parreño VG, Barbás MG, Nates SV, Pisano MB, Ré VE. Integrated hepatitis e virus monitoring in central Argentina: a six-year analysis of clinical surveillance and wastewater-based epidemiology. WATER RESEARCH 2024; 261:122004. [PMID: 38991242 DOI: 10.1016/j.watres.2024.122004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/05/2024] [Accepted: 06/26/2024] [Indexed: 07/13/2024]
Abstract
Wastewater-based epidemiology (WBE) has gained prominence worldwide as a powerful tool in public health. This study aimed to monitor the circulation of Hepatitis E Virus (HEV) from wastewater samples collected during a six-year period and compare these results with clinical surveillance in the central region of Argentina. From 2017 to 2022, 1008 raw wastewater samples were analyzed, including four wastewater treatment plants from four cities (n=319), and 7 local neighborhood collector sewers in Córdoba city (n=689). Serum and/or stool samples from patients suspected of HEV infection were also analyzed (n=48). HEV molecular detection and viral load quantification were performed by real time RT-qPCR, and genetic characterization by two RT-Nested PCRs (targeting partial ORF-1 and ORF-2 genomic regions), sequencing and phylogenetic analysis. Fifty-three (5.3%) wastewater samples were RNA-HEV positive by real time RT-qPCR, with variations according to the location and year (0.0% - 21.6%). Out of these, ORF-2 genomic region was amplified in 20 samples (37.7%) and ORF-1 partial region in 12 (22.6%), and eighteen sequences were obtained. Throughout the study period, two (4.2%) HEV confirmed infections were reported, and one sequence was obtained. Phylogenetic analyses for both genomic regions showed that all the isolates were genotype HEV-3 clade abchijklm. Our study detected HEV in wastewater over a six-year period, despite a low number of clinical cases, emphasizing WBE as a valuable tool that complements clinical surveillance, by detecting pathogens' presence; identifying their transmission, circulation dynamics and excretion hotspots; and revealing changes in their genomic diversity.
Collapse
Affiliation(s)
- Anabella Clara Fantilli
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina.
| | - Gisela Masachessi
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| | - Guadalupe Di Cola
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| | - Gonzalo Castro
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Paola Sicilia
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - María de Los Angeles Marinzalda
- Instituto Nacional de Medicina Aeronáutica y Espacial, FAA, Av. Fuerza Aérea Argentina Km 6 1/2 S/N B.0 Cívico, Córdoba X5010, Argentina. Facultad de la Fuerza Aérea, Universidad de la Defensa Nacional, Av. Fuerza Aérea Argentina 5011, Córdoba X5000, Argentina; Planta Municipal de tratamiento de efluente cloacales Bajo Grande-Laboratorio de análisis fisicoquímicos, bacteriológicos EDAR Bajo Grande, Cam. Chacra de la Merced 901, Córdoba X5000, Argentina
| | - Ariana Mariela Cachi
- Instituto Nacional de Medicina Aeronáutica y Espacial, FAA, Av. Fuerza Aérea Argentina Km 6 1/2 S/N B.0 Cívico, Córdoba X5010, Argentina. Facultad de la Fuerza Aérea, Universidad de la Defensa Nacional, Av. Fuerza Aérea Argentina 5011, Córdoba X5000, Argentina; Planta Municipal de tratamiento de efluente cloacales Bajo Grande-Laboratorio de análisis fisicoquímicos, bacteriológicos EDAR Bajo Grande, Cam. Chacra de la Merced 901, Córdoba X5000, Argentina
| | - Claudia Moreno
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Mariel Borda
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Gustavo Ibarra
- Planta Municipal de tratamiento de efluente cloacales Bajo Grande-Laboratorio de análisis fisicoquímicos, bacteriológicos EDAR Bajo Grande, Cam. Chacra de la Merced 901, Córdoba X5000, Argentina
| | - Ricardo Manuel Rojas
- Cooperativa Integral Regional de Provisión de Servicios Públicos, Vivienda y Consumo Limitada (COOPI), Moreno 78, Villa Carlos Paz, X5152 Córdoba, Argentina
| | - Viviana Gladys Parreño
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina; INCUINTA; Instituto de Virología e Innovaciones Tecnológicas (IVIT), Instituto Nacional de Tecnología Agropecuaria (INTA), Hurlingham, Provincia de Buenos Aires 1686, Argentina
| | - María Gabriela Barbás
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Silvia Viviana Nates
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina
| | - María Belén Pisano
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| | - Viviana Elizabeth Ré
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| |
Collapse
|
2
|
D'Arpino MC, Sineli PE, Goroso G, Watanabe W, Saavedra ML, Hebert EM, Martínez MA, Migliavacca J, Gerstenfeld S, Chahla RE, Bellomio A, Albarracín VH. Wastewater monitoring of SARS-CoV-2 gene for COVID-19 epidemiological surveillance in Tucumán, Argentina. J Basic Microbiol 2024; 64:e2300773. [PMID: 38712352 DOI: 10.1002/jobm.202300773] [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: 12/29/2023] [Revised: 03/12/2024] [Accepted: 04/08/2024] [Indexed: 05/08/2024]
Abstract
Wastewater-based epidemiology provides temporal and spatial information about the health status of a population. The objective of this study was to analyze and report the epidemiological dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the province of Tucumán, Argentina during the second and third waves of coronavirus disease 2019 (COVID-19) between April 2021 and March 2022. The study aimed to quantify SARS-CoV-2 RNA in wastewater, correlating it with clinically reported COVID-19 cases. Wastewater samples (n = 72) were collected from 16 sampling points located in three cities of Tucumán (San Miguel de Tucumán, Yerba Buena y Banda del Río Salí). Detection of viral nucleocapsid markers (N1 gene) was carried out using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Viral loads were determined for each positive sample using a standard curve. A positive correlation (p < 0.05) was observed between viral load (copies/mL) and the clinically confirmed COVID-19 cases reported at specific sampling points in San Miguel de Tucumán (SP4, SP7, and SP8) in both months, May and June. Indeed, the high viral load concurred with the peaks of COVID-19 cases. This method allowed us to follow the behavior of SARS-CoV-2 infection during epidemic outbreaks. Thus, wastewater monitoring is a valuable epidemiological indicator that enables the anticipation of increases in COVID-19 cases and tracking the progress of the pandemic. SARS-CoV-2 genome-based surveillance should be implemented as a routine practice to prepare for any future surge in infections.
Collapse
Affiliation(s)
- María Cecilia D'Arpino
- Laboratory of Molecular and Ultraestructural Microbiology, Centro Integral de Microscopía Electrónica, (CIME-UNT-CONICET), Facultad de Agronomía, Zootecnia y Veterinaria, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Pedro Eugenio Sineli
- Planta Piloto de Procesos Industriales Microbiológicos (PROIMI-CONICET), Tucumán, Argentina
| | - Gustavo Goroso
- Laboratorio de Processamento de Sinais e Modelagem de Sistemas Biológicos. Núcleo de Pesquisas Tecnológicas, Universidade Mogi das Cruzes, Sao Paulo, Brasil
| | - William Watanabe
- Laboratorio de Processamento de Sinais e Modelagem de Sistemas Biológicos. Núcleo de Pesquisas Tecnológicas, Universidade Mogi das Cruzes, Sao Paulo, Brasil
| | | | | | | | | | | | | | - Augusto Bellomio
- Instituto Superior de Investigaciones Biológicas (INSIBIO, CONICET-Universidad Nacional de Tucumán), Tucumán, Argentina
| | - Virginia Helena Albarracín
- Laboratory of Molecular and Ultraestructural Microbiology, Centro Integral de Microscopía Electrónica, (CIME-UNT-CONICET), Facultad de Agronomía, Zootecnia y Veterinaria, Universidad Nacional de Tucumán, Tucumán, Argentina
- Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional Tucumán, Tucumán, Argentina
| |
Collapse
|
3
|
Leisman KP, Owen C, Warns MM, Tiwari A, Bian GZ, Owens SM, Catlett C, Shrestha A, Poretsky R, Packman AI, Mangan NM. A modeling pipeline to relate municipal wastewater surveillance and regional public health data. WATER RESEARCH 2024; 252:121178. [PMID: 38309063 DOI: 10.1016/j.watres.2024.121178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/18/2023] [Accepted: 01/22/2024] [Indexed: 02/05/2024]
Abstract
As COVID-19 becomes endemic, public health departments benefit from improved passive indicators, which are independent of voluntary testing data, to estimate the prevalence of COVID-19 in local communities. Quantification of SARS-CoV-2 RNA from wastewater has the potential to be a powerful passive indicator. However, connecting measured SARS-CoV-2 RNA to community prevalence is challenging due to the high noise typical of environmental samples. We have developed a generalized pipeline using in- and out-of-sample model selection to test the ability of different correction models to reduce the variance in wastewater measurements and applied it to data collected from treatment plants in the Chicago area. We built and compared a set of multi-linear regression models, which incorporate pepper mild mottle virus (PMMoV) as a population biomarker, Bovine coronavirus (BCoV) as a recovery control, and wastewater system flow rate into a corrected estimate for SARS-CoV-2 RNA concentration. For our data, models with BCoV performed better than those with PMMoV, but the pipeline should be used to reevaluate any new data set as the sources of variance may change across locations, lab methods, and disease states. Using our best-fit model, we investigated the utility of RNA measurements in wastewater as a leading indicator of COVID-19 trends. We did this in a rolling manner for corrected wastewater data and for other prevalence indicators and statistically compared the temporal relationship between new increases in the wastewater data and those in other prevalence indicators. We found that wastewater trends often lead other COVID-19 indicators in predicting new surges.
Collapse
Affiliation(s)
- Katelyn Plaisier Leisman
- Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, USA
| | - Christopher Owen
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - Maria M Warns
- Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, USA
| | - Anuj Tiwari
- Discovery Partners Institute, University of Illinois Chicago, Chicago, IL, USA
| | - George Zhixin Bian
- Department of Computer Science, Northwestern University, Evanston, IL, USA
| | - Sarah M Owens
- Biosciences, Argonne National Laboratory, Lemont, IL, USA
| | - Charlie Catlett
- Discovery Partners Institute, University of Illinois Chicago, Chicago, IL, USA; Computing, Environment, and Life Sciences, Argonne National Laboratory, Lemont, IL, USA
| | - Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
| | - Rachel Poretsky
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - Aaron I Packman
- Center for Water Research, Northwestern University, Evanston, IL, USA; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
| | - Niall M Mangan
- Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, USA; Center for Water Research, Northwestern University, Evanston, IL, USA.
| |
Collapse
|
4
|
Cimmino C, Rodrigues Capítulo L, Lerman A, Silva A, Von Haften G, Comino AP, Cigoy L, Scagliola M, Poncet V, Caló G, Uez O, Berón CM. Presence of SARS-CoV-2 in urban effluents in south-east Buenos Aires, Argentina, May 2020 to March 2022. Rev Panam Salud Publica 2023; 47:e94. [PMID: 37324201 PMCID: PMC10261580 DOI: 10.26633/rpsp.2023.94] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/14/2023] [Indexed: 06/17/2023] Open
Abstract
Objectives To implement and evaluate the use of wastewater sampling for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in two coastal districts of Buenos Aires Province, Argentina. Methods In General Pueyrredon district, 400 mL of wastewater samples were taken with an automatic sampler for 24 hours, while in Pinamar district, 20 L in total (2.2 L at 20-minute intervals) were taken. Samples were collected once a week. The samples were concentrated based on flocculation using polyaluminum chloride. RNA purification and target gene amplification and detection were performed using reverse transcription polymerase chain reaction for clinical diagnosis of human nasopharyngeal swabs. Results In both districts, the presence of SARS-CoV-2 was detected in wastewater. In General Pueyrredon, SARS-CoV-2 was detected in epidemiological week 28, 2020, which was 20 days before the start of an increase in coronavirus virus disease 2019 (COVID-19) cases in the first wave (epidemiological week 31) and 9 weeks before the maximum number of laboratory-confirmed COVID-19 cases was recorded. In Pinamar district, the virus genome was detected in epidemiological week 51, 2020 but it was not possible to carry out the sampling again until epidemiological week 4, 2022, when viral circulation was again detected. Conclusions It was possible to detect SARS-CoV-2 virus genome in wastewater, demonstrating the usefulness of the application of wastewater epidemiology for long-term SARS-CoV-2 detection and monitoring.
Collapse
Affiliation(s)
- Carlos Cimmino
- Instituto Nacional de Epidemiología “Dr. Juan H. Jara”Mar del PlataArgentinaInstituto Nacional de Epidemiología “Dr. Juan H. Jara”, Mar del Plata, Argentina.
| | - Leandro Rodrigues Capítulo
- Centro de Estudios Integrales de la Dinámica ExógenaUniversidad Nacional de La PlataLa PlataArgentinaCentro de Estudios Integrales de la Dinámica Exógena, Universidad Nacional de La Plata, La Plata, Argentina.
| | - Andrea Lerman
- Instituto Nacional de Epidemiología “Dr. Juan H. Jara”Mar del PlataArgentinaInstituto Nacional de Epidemiología “Dr. Juan H. Jara”, Mar del Plata, Argentina.
| | - Andrea Silva
- Instituto Nacional de Epidemiología “Dr. Juan H. Jara”Mar del PlataArgentinaInstituto Nacional de Epidemiología “Dr. Juan H. Jara”, Mar del Plata, Argentina.
| | - Gabriela Von Haften
- Obras Sanitarias Sociedad de EstadoMar del PlataArgentinaObras Sanitarias Sociedad de Estado, Mar del Plata, Argentina.
| | - Ana P. Comino
- Obras Sanitarias Sociedad de EstadoMar del PlataArgentinaObras Sanitarias Sociedad de Estado, Mar del Plata, Argentina.
| | - Luciana Cigoy
- Obras Sanitarias Sociedad de EstadoMar del PlataArgentinaObras Sanitarias Sociedad de Estado, Mar del Plata, Argentina.
| | - Marcelo Scagliola
- Obras Sanitarias Sociedad de EstadoMar del PlataArgentinaObras Sanitarias Sociedad de Estado, Mar del Plata, Argentina.
| | - Verónica Poncet
- Instituto Nacional de Epidemiología “Dr. Juan H. Jara”Mar del PlataArgentinaInstituto Nacional de Epidemiología “Dr. Juan H. Jara”, Mar del Plata, Argentina.
| | - Gonzalo Caló
- Instituto de Investigaciones en Biodiversidad y Biotecnología and FIBAMar del PlataArgentinaInstituto de Investigaciones en Biodiversidad y Biotecnología and FIBA, Mar del Plata, Argentina.
| | - Osvaldo Uez
- Instituto Nacional de Epidemiología “Dr. Juan H. Jara”Mar del PlataArgentinaInstituto Nacional de Epidemiología “Dr. Juan H. Jara”, Mar del Plata, Argentina.
| | - Corina M. Berón
- Instituto de Investigaciones en Biodiversidad y Biotecnología and FIBAMar del PlataArgentinaInstituto de Investigaciones en Biodiversidad y Biotecnología and FIBA, Mar del Plata, Argentina.
| |
Collapse
|