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1.
Arch Med Res ; 53(3): 323-328, 2022 04.
Article in English | MEDLINE | ID: covidwho-1859320

ABSTRACT

BACKGROUND: Different interventions have been implemented worldwide for the house-hold monitoring of patients with mild COVID-19 to reduce the burden of healthcare systems and guarantee quality of care. Telephone follow up and treatment kits have not been evaluated in the context of a national-wide primary care program. AIM OF THE STUDY: To compare the risk of hospitalization and death for COVID-19 between ambulatory patients who received and those who did not receive a treatment kit and telephone follow-up in a developing country METHODS: A two-group comparative analysis was conducted using data from the medical information systems of the Mexican Institute of Social Security. We included a total of 28,048 laboratory-confirmed SARS-CoV-2 patients: 7,898 (28.2%) received a medical kit and 20,150 (71.8%) did not. The incidence rates of hospitalization and death combined were calculated. To identify significant associations between hospitalization or death and treatment medical kits, we calculated the risk ratios using a multivariate logistic model. RESULTS: The incidence of hospitalization was 6.14% in patients who received a kit and 11.71% in those who did not. Male sex, age, and a medical history of obesity, hypertension, diabetes, immunosuppression, or kidney disease were associated with increased risk of hospitalization or death. The risk rates were reduced in patients who received a medical kit or telephone follow-up. In the multivariate model, receiving a medical kit was associated with a lower risk of hospitalization or death from COVID-19: adjusted risk ratio 0.41 (95% confidence interval 0.36-0.47). CONCLUSION: Use of a multimodal strategy may reduce the risk of hospitalization and death in adult outpatients with mild COVID-19.


Subject(s)
COVID-19 , Kidney Diseases , Adult , COVID-19/epidemiology , COVID-19/therapy , Female , Hospitalization , Humans , Incidence , Male , SARS-CoV-2
2.
Microorganisms ; 9(4)2021 Apr 15.
Article in English | MEDLINE | ID: covidwho-1187005

ABSTRACT

Until recently, the incidence of COVID-19 was primarily estimated using molecular diagnostic methods. However, the number of cases is vastly underreported using these methods. Seroprevalence studies estimate cumulative infection incidences and allow monitoring of transmission dynamics, and the presence of neutralizing antibodies in the population. In February 2020, the Mexican Social Security Institute began conducting anonymous unrelated sampling of residual sera from specimens across the country, excluding patients with fever within the previous two weeks and/or patients with an acute respiratory infection. Sampling was carried out weekly and began 17 days before Mexico's first officially confirmed case. The 24,273 sera obtained were analyzed by chemiluminescent-linked immunosorbent assay (CLIA) IgG S1/S2 and, later, positive cases using this technique were also analyzed to determine the rate of neutralization using the enzyme-linked immunosorbent assay (ELISA). We identified 40 CLIA IgG positive cases before the first official report of SARS-CoV-2 infection in Mexico. The national seroprevalence was 3.5% in February and 33.5% in December. Neutralizing activity among IgG positives patients during overall study period was 86.1%. The extent of the SARS-CoV-2 infection in Mexico is 21 times higher than that reported by molecular techniques. Although the general population is still far from achieving herd immunity, epidemiological indicators should be re-estimated based on serological studies of this type.

3.
Arch Med Res ; 51(7): 645-653, 2020 10.
Article in English | MEDLINE | ID: covidwho-1023467

ABSTRACT

BACKGROUND: The SARS-CoV-2 is the etiological agent causing COVID-19 which has infected more than 2 million people with more than 200000 deaths since its emergence in December 2019. In the majority of cases patients are either asymptomatic or show mild to moderate symptoms and signs of a common cold. A subset of patients, however, develop a severe atypical pneumonia, with the characteristic ground-glass appearance on chest x-ray and computerized tomography, which evolves into an acute respiratory distress syndrome, that requires mechanical ventilation and eventually results in multiple organ failure and death. The Molecular pathogenesis of COVID-19 is still unknown. AIM OF THE STUDY: In the present work we performed a stringent metanalysis from the publicly available RNAseq data from bronchoalveolar cells and peripheral blood mononuclear cells to elucidate molecular alterations and cellular deconvolution to identify immune cell profiles. RESULTS: Alterations in genes involved in hyaluronan, glycosaminoglycan and mucopolysaccharides metabolism were over-represented in bronchoalveolar cells infected by SARS-CoV-2, as well as potential lung infiltration with neutrophils, T CD4+ cell and macrophages. The blood mononuclear cells presented a proliferative state. Dramatic reduction of NK and T lymphocytes, whereas an exacerbated increase in monocytes. CONCLUSIONS: In summary our results revealed molecular pathogenesis of the SARS-CoV-2 infection to bronchoalveolar cells inducing the hyaluronan and glycosaminoglycan metabolism that could shape partially the components of the ground-glass opacities observed in CT. And the potential immune response profile in COVID-19.


Subject(s)
COVID-19 , Glycosaminoglycans , Bronchoalveolar Lavage Fluid/cytology , COVID-19/diagnostic imaging , COVID-19/genetics , COVID-19/metabolism , COVID-19/pathology , Glycosaminoglycans/genetics , Glycosaminoglycans/metabolism , Humans , Hyaluronic Acid/genetics , Hyaluronic Acid/metabolism , Leukocytes, Mononuclear/cytology , Lung/diagnostic imaging , Lung/pathology , SARS-CoV-2
4.
Ann Med ; 53(1): 197-207, 2021 12.
Article in English | MEDLINE | ID: covidwho-990290

ABSTRACT

BACKGROUND: COVID-19 counts 46 million people infected and killed more than 1.2 million. Hypoxaemia is one of the main clinical manifestations, especially in severe cases. HIF1α is a master transcription factor involved in the cellular response to oxygen levels. The immunopathogenesis of this severe form of COVID-19 is poorly understood. METHODS: We performed scRNAseq from leukocytes from five critically ill COVID-19 patients and characterized the expression of hypoxia-inducible factor1α and its transcriptionally regulated genes. Also performed metanalysis from the publicly available RNAseq data from COVID-19 bronchoalveolar cells. RESULTS: Critically-ill COVID-19 patients show a shift towards an immature myeloid profile in peripheral blood cells, including band neutrophils, immature monocytes, metamyelocytes, monocyte-macrophages, monocytoid precursors, and promyelocytes-myelocytes, together with mature monocytes and segmented neutrophils. May be the result of a physiological response known as emergency myelopoiesis. These cellular subsets and bronchoalveolar cells express HIF1α and their transcriptional targets related to inflammation (CXCL8, CXCR1, CXCR2, and CXCR4); virus sensing, (TLR2 and TLR4); and metabolism (SLC2A3, PFKFB3, PGK1, GAPDH and SOD2). CONCLUSIONS: The up-regulation and participation of HIF1α in events such as inflammation, immunometabolism, and TLR make it a potential molecular marker for COVID-19 severity and, interestingly, could represent a potential target for molecular therapy. Key messages Critically ill COVID-19 patients show emergency myelopoiesis. HIF1α and its transcriptionally regulated genes are expressed in immature myeloid cells which could serve as molecular targets. HIF1α and its transcriptionally regulated genes is also expressed in lung cells from critically ill COVID-19 patients which may partially explain the hypoxia related events.


Subject(s)
COVID-19/genetics , Critical Illness , Hypoxia-Inducible Factor 1, alpha Subunit/genetics , Myeloid Cells/metabolism , Sequence Analysis, RNA/methods , Female , Humans , Male , RNA, Messenger/genetics , Reverse Transcriptase Polymerase Chain Reaction , Up-Regulation
5.
Arch Med Res ; 52(3): 311-323, 2021 04.
Article in English | MEDLINE | ID: covidwho-926269

ABSTRACT

BACKGROUND: SARS-CoV-2, the etiological agent causing COVID-19, has infected more than 27 million people with over 894000 deaths worldwide since its emergence in December 2019. Factors for severe diseases, such as diabetes, hypertension, and obesity have been identified however, the precise pathogenesis is poorly understood. To understand its pathophysiology and to develop effective therapeutic strategies, it is essential to define the prevailing immune cellular subsets. METHODS: We performed whole circulating immune cells scRNAseq from five critically ill COVID-19 patients, trajectory and gene ontology analysis. RESULTS: Immature myeloid populations, such as promyelocytes-myelocytes, metamyelocytes, band neutrophils, monocytoid precursors, and activated monocytes predominated. The trajectory with pseudotime analysis supported the finding of immature cell states. While the gene ontology showed myeloid cell activation in immune response, DNA and RNA processing, defense response to the virus, and response to type 1 interferon. Lymphoid lineage was scarce. Expression of genes such as C/EBPß, IRF1and FOSL2 potentially suggests the induction of trained immunity. CONCLUSIONS: Our results uncover transcriptomic profiles related to immature myeloid lineages and suggest the potential induction of trained immunity.


Subject(s)
COVID-19/blood , Myeloid Cells/pathology , COVID-19/pathology , COVID-19/virology , Critical Illness , Humans , SARS-CoV-2/isolation & purification
6.
J Virol ; 94(18)2020 08 31.
Article in English | MEDLINE | ID: covidwho-639244

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has affected most countries in the world. Studying the evolution and transmission patterns in different countries is crucial to enabling implementation of effective strategies for disease control and prevention. In this work, we present the full genome sequence for 17 SARS-CoV-2 isolates corresponding to the earliest sampled cases in Mexico. Global and local phylogenomics, coupled with mutational analysis, consistently revealed that these viral sequences are distributed within 2 known lineages, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage A/G, containing mostly sequences from North America, and lineage B/S, containing mainly sequences from Europe. Based on the exposure history of the cases and on the phylogenomic analysis, we characterized 14 independent introduction events. Additionally, three cases with no travel history were identified. We found evidence that two of these cases represented local transmission cases occurring in Mexico during mid-March 2020, denoting the earliest events described for the country. Within this local transmission cluster, we also identified an H49Y amino acid change in the Spike protein. This mutation represents a homoplasy occurring independently through time and space and may function as a molecular marker to follow any further spread of these viral variants throughout the country. Our results provide a general picture of the SARS-CoV-2 variants introduced at the beginning of the outbreak in Mexico, setting the foundation for future surveillance efforts.IMPORTANCE Understanding the introduction, spread, and establishment of SARS-CoV-2 within distinct human populations as well as the evolution of the pandemics is crucial to implement effective control strategies. In this work, we report that the initial virus strains introduced in Mexico came from Europe and the United States and that the virus was circulating locally in the country as early as mid-March. We also found evidence for early local transmission of strains with a H49Y mutation in the Spike protein, which could be further used as a molecular marker to follow viral spread within the country and the region.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/epidemiology , Coronavirus Infections/virology , Genetic Variation , Genome, Viral , Genomics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , Amino Acid Substitution , Betacoronavirus/classification , COVID-19 , Computational Biology/methods , Coronavirus Infections/transmission , Genomics/methods , Humans , Mexico/epidemiology , Mutation , Pandemics , Phylogeny , Pneumonia, Viral/transmission , SARS-CoV-2
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