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Sarpa M, da Costa VÍDB, Ferreira SN, de Almeida CÁ, de Oliveira PGS, de Mesquita LV, Schilithz AOC, Stefanoff CG, Hassan R, Otero UB. Investigation of occupational risk factors for the development of non-Hodgkin's lymphoma in adults: A hospital-based case-control study. PLoS One 2024; 19:e0297140. [PMID: 38408076 PMCID: PMC10896545 DOI: 10.1371/journal.pone.0297140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/28/2023] [Indexed: 02/28/2024] Open
Abstract
Non-Hodgkin's Lymphoma (NHL) is a malignancy of the lymphoid lineage of the hematopoietic system has worldwide, especially in developed countries. Better diagnostic and recording techniques, longer life expectancy, and greater exposure to risk factors are hypotheses for this growing incidence curve. Occupational exposures to chemical, biological, and physical agents have also been associated with NHL development, but the results are still controversial. We have investigated the occupational and lifestyle case-control study design with 214 adult patients and 452 population controls. Socio-demographic, clinical, and occupational exposure data were obtained through individual interviews with a standardized questionnaire. Clinical, laboratory, and histopathological data were obtained through medical records. Risk of NHL (any subtype), B-cell lymphoma, DLBCL, Follicular lymphoma and T-cell lymphoma was elevated among the those who had ever been exposed to any solvents, hydrocarbon solvents, pesticides, meat and meat products, and sunlight and tended to increase by years of exposure. A significant upward trend with years of exposure was detected for any solvents and hydrocarbon solvents (NHL (any subtype) p-value for trend<0.001), B-cell lymphoma (p-value for trend<0.001), and T-cell lymphoma (p-value for trend<0.023), pesticides (NHL (any subtype), p for trend<0.001) and T-cell lymphoma (p for trend<0.002), meat and meat products (NHL (any subtype) (p for trend<0.001) and DLBCL (p for trend<0.001), and sunlight (B-cell lymphoma (p for trend<0.001). The results of this study agree line with other international studies, can be extrapolated to other countries that have the same socio-demographic and occupational characteristics as Brazil and support strategies for surveillance and control of work-related cancer.
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Affiliation(s)
- Marcia Sarpa
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
- Environmental Mutagenesis Laboratory, Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
| | | | - Sâmila Natiane Ferreira
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
- Environmental Mutagenesis Laboratory, Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
| | - Carolina Ávila de Almeida
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
- Environmental Mutagenesis Laboratory, Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
| | - Paula Gabriela Sousa de Oliveira
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
- Environmental Mutagenesis Laboratory, Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
| | - Letícia Vargas de Mesquita
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
- Environmental Mutagenesis Laboratory, Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
| | - Arthur O C Schilithz
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
| | - Claudio Gustavo Stefanoff
- Coordination of Clinical Research and Technological Incorporation, Brazilian National Cancer Institute, Rio de Janeiro, RJ, Brazil
| | - Rocio Hassan
- Oncovirology Laboratory, Bone Marrow Transplantation Center, Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Ubirani Barros Otero
- Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
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Vicentino ARR, Fraga-Junior VDS, Palazzo M, Tasmo NRA, Rodrigues DAS, Barroso SPC, Ferreira SN, Neves-Borges AC, Allonso D, Fantappié MR, Scharfstein J, Oliveira AC, Vianna-Jorge R, Vale AM, Coutinho-Silva R, Savio LEB, Canetti C, Benjamim CF. High mobility group box 1, ATP, lipid mediators, and tissue factor are elevated in COVID-19 patients: HMGB1 as a biomarker of worst prognosis. Clin Transl Sci 2023; 16:631-646. [PMID: 36631939 PMCID: PMC10087071 DOI: 10.1111/cts.13475] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 11/07/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus 2, the agent of the ongoing coronavirus disease 2019 (COVID-19) pandemic, has spread worldwide since it was first identified in November 2019 in Wuhan, China. Since then, progress in pathogenesis linked severity of this systemic disease to the hyperactivation of network of cytokine-driven pro-inflammatory cascades. Here, we aimed to identify molecular biomarkers of disease severity by measuring the serum levels of inflammatory mediators in a Brazilian cohort of patients with COVID-19 and healthy controls (HCs). Critically ill patients in the intensive care unit were defined as such by dependence on oxygen supplementation (93% intubated and 7% face mask), and computed tomography profiles showing ground-glass opacity pneumonia associated to and high levels of D-dimer. Our panel of mediators included HMGB1, ATP, tissue factor, PGE2 , LTB4 , and cys-LTs. Follow-up studies showed increased serum levels of every inflammatory mediator in patients with COVID-19 as compared to HCs. Originally acting as a transcription factor, HMGB1 acquires pro-inflammatory functions following secretion by activated leukocytes or necrotic tissues. Serum levels of HMGB1 were positively correlated with cys-LTs, D-dimer, aspartate aminotransferase, and alanine aminotransferase. Notably, the levels of the classical alarmin HMGB1 were higher in deceased patients, allowing their discrimination from patients that had been discharged at the early pulmonary and hyperinflammatory phase of COVID-19. In particular, we verified that HMGB1 levels above 125.4 ng/ml is the cutoff that distinguishes patients that are at higher risk of death. In conclusion, we propose the use of serum levels of HMGB1 as a biomarker of severe prognosis of COVID-19.
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Affiliation(s)
- Amanda Roberta Revoredo Vicentino
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Vanderlei da Silva Fraga-Junior
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Matheus Palazzo
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Natalia Recardo Amorim Tasmo
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Danielle A S Rodrigues
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Shana Priscila Coutinho Barroso
- Molecular Biology Laboratory, Laboratório de Biologia Molecular, Instituto de Pesquisas Biomédicas, Hospital Naval Marcílio Dias, Rio de Janeiro, Brazil
| | - Sâmila Natiane Ferreira
- Molecular Biology Laboratory, Laboratório de Biologia Molecular, Instituto de Pesquisas Biomédicas, Hospital Naval Marcílio Dias, Rio de Janeiro, Brazil
| | - Anna Cristina Neves-Borges
- Department of Botanic, Departamento de Botânica, Instituto de Biociências, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Diego Allonso
- Departamento de Biotecnologia Farmacêutica, Faculdade de Farmácia, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelo Rosado Fantappié
- Programa de Biologia Molecular e Biotecnologia, Instituto de Bioquímica Médica Leopoldo de Meis, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Julio Scharfstein
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ana Carolina Oliveira
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosane Vianna-Jorge
- Programa de Farmacologia e Inflamação, Instituto de Ciências Biomédicas, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - André Macedo Vale
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Robson Coutinho-Silva
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luiz Eduardo Baggio Savio
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Claudio Canetti
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Claudia Farias Benjamim
- Programa de Imunobiologia, Instituto de Biofísica Carlos Chagas Filho, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Ferreira SN, Leite MDM, Silveira MSLD, Santos EFD, Silva ALSD, Santos EJMD. MicroRNA layer of MHC in infectious diseases. Hum Immunol 2019; 80:243-247. [PMID: 30769034 DOI: 10.1016/j.humimm.2019.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 01/17/2019] [Accepted: 02/11/2019] [Indexed: 01/02/2023]
Abstract
The Major Histocompatibility Complex (MHC) harbors key genes of the immune response that are likely useful as biomarkers for infectious diseases. However, little is known about their microRNAs and what role they play in infections. The present study aimed to describe the miRNA genes in the MHC (MHC-miRNA), their variability and associations with infectious diseases. Additionally, MHC-miRNA host and target genes were also evaluated in associations with infectious diseases. Surveys in several databases and literature reviews identified 48 MHC-miRNA genes, with high SNP and CNV variability able to disrupt MHC-miRNA expression and putatively under selective pressure. Eight MHC-miRNAs were found inside or close regions of classical MHC rearrangements (RCCX and DRB genome organization). The proportion of MHC-miRNAs associated with infections (23%) was higher than the proportion found for the 1917 hsa-miRNA (4%). Additionally, 35 MHC-miRNAs (57%) have at least one of their target genes associated with infectious diseases, while all nine MHC-miRNA whose host genes were associated with infections have also their target genes associated with infections, being host and target genes of five MHC-miRNAs reported to be associated with the same diseases. This finding may reflect a concerted miRNA-mediated immune response mechanism triggered by infection.
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Affiliation(s)
- Sâmila Natiane Ferreira
- Human and Medical Genetics Laboratory, Federal University of Pará, Brazil; Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Brazil
| | - Mauro de Meira Leite
- Human and Medical Genetics Laboratory, Federal University of Pará, Brazil; Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Brazil
| | | | | | | | - Eduardo José Melo Dos Santos
- Human and Medical Genetics Laboratory, Federal University of Pará, Brazil; Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Brazil.
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