Guillermo Santoscoy-Ascencio

Dr. Guillermo Santoscoy-Ascencio

Unidad de Patologia Clinica, Guadalajara, Jalisco, Mexico
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2019 in Molecular Genetics & Genomic Medicine
Verified
Journal Article
Open access
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GSGuillermo Santoscoy-Ascencio
Guillermo Santoscoy-Ascencio
Christian Johana Baños-HernándezChristian Johana Baños-Hernández
Christian Johana Baños-Hernández
JNJosé Eduardo Navarro‐Zarza
José Eduardo Navarro‐Zarza
JHJorge Hernández‐Bello
Jorge Hernández‐Bello
RBRichard Bucala
Richard Bucala
José Francisco Muñoz-ValleJosé Francisco Muñoz-Valle
José Francisco Muñoz-Valle
Background: Macrophage migration inhibitory factor (MIF) is a cytokine capable of stimulating inflammatory cytokine and matrix metalloproteinase production from macrophages and synovial fibroblasts, which leads to persistent inflammation and bone degradation, two of the major pathological processes in rheumatoid arthritis (RA). The aim of this study was to evaluate the association of MIF promoter polymorphisms (−794CATT5‐8 rs5844572 and −173G > C, rs755622), circulating MIF levels, and mRNA expression with RA susceptibility and disease activity.Methods: A case–control study was conducted in 200 RA patients and 200 control subjects (CS) from Southern Mexico. Genotyping was performed by conventional PCR and PCR‐RFLP methods. MIF mRNA expression was quantified by real‐time PCR and MIF serum levels were determined by an ELISA kit.Results: The 7,7 (−794CATT5‐8) and −173CC (−173G > C) genotypes were associated with higher disease activity in RA patients. MIF serum levels were increased, and MIF mRNA expression was reduced in RA patients as compared to CS. In addition, RA patients with moderate disease activity had higher MIF levels than those with low disease activity. The −794CATT5‐8 and −173G > C MIF polymorphisms were not associated with RA susceptibility.Conclusion: These results suggest an important role of MIF polymorphisms and MIF serum levels with disease activity in RA.

4 August 2022 in Journal of Inflammation Research
Verified
Journal Article
Open access
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JNJose Javier Morales Nuñez
Jose Javier Morales Nuñez
MGMariel García-Chagollán
Mariel García-Chagollán
José Francisco Muñoz-ValleJosé Francisco Muñoz-Valle
José Francisco Muñoz-Valle
SPSaúl Alberto Díaz Pérez
Saúl Alberto Díaz Pérez
Paola Carolina Torres HernándezPaola Carolina Torres Hernández
Paola Carolina Torres Hernández
JHJorge Hernández-Bello
Jorge Hernández-Bello
Purpose: Understanding the humoral immune response dynamics carried out by B cells in COVID-19 vaccination is little explored; therefore, we analyze the changes induced in the different cellular subpopulations of B cells after vaccination with BNT162b2 (Pfizer-BioNTech). Methods: This prospective cohort study evaluated thirty-nine immunized health workers (22 with prior COVID-19 and 17 without prior COVID-19) and ten subjects not vaccinated against SARS-CoV-2 (control group). B cell subpopulations (transitional, mature, naïve, memory, plasmablasts, early plasmablast, and double-negative B cells) and neutralizing antibody levels were analyzed and quantified by flow cytometry and ELISA, respectively. Results: The dynamics of the B cells subpopulations after vaccination showed the following pattern: the percentage of transitional B cells was higher in the prior COVID-19 group (p < 0.05), whereas virgin B cells were more prevalent in the group without prior COVID-19 (p < 0.05), mature B cells predominated in both vaccinated groups (p < 0.01), and memory B cells, plasmablasts, early plasmablasts, and double-negative B cells were higher in the not vaccinated group (p < 0.05). Conclusion: BNT162b2 vaccine induces changes in B cell subpopulations, especially generating plasma cells and producing neutralizing antibodies against SARS-CoV-2. However, the previous infection with SARS-CoV-2 does not significantly alter the dynamics of these subpopulations but induces more rapid and optimal antibody production.

20 June 2023 in Vaccines
Verified
Journal Article
Open access
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JHJorge Hernández-Bello
Jorge Hernández-Bello
JSJosé Julio Sierra-García-De-Quevedo
José Julio Sierra-García-De-Quevedo
JNJose Javier Morales Nuñez
Jose Javier Morales Nuñez
GSGuillermo Santoscoy-Ascencio
Guillermo Santoscoy-Ascencio
SPSaúl Alberto Díaz Pérez
Saúl Alberto Díaz Pérez
José Francisco Muñoz-ValleJosé Francisco Muñoz-Valle
José Francisco Muñoz-Valle
This study aimed to analyze the dynamics, duration, and production of total and neutralizing antibodies induced by the BNT162b2 vaccine and the possible effect of gender and prior SARS-CoV-2 infection on the generation of these antibodies. Total antibodies were quantified via chemiluminescent microparticle immunoassay (CMIA), and neutralizing antibodies were quantified using the cPass SARS-CoV-2 kit. Individuals with a history of COVID-19 produced twice as many antibodies than vaccinated individuals without prior SARS-CoV-2 infection, with an exponential increase observed in just six days. In those without a COVID-19 history, similar antibody production was reached 45 days after vaccination. Although total antibodies decline considerably in the first two months, the neutralizing antibodies and their inhibitory capacity (>96%) persist up to 6 months after the first dose. There was a tendency for higher total antibodies in women than men, but not at the inhibition capacity level. We suggest that the decline in total antibodies should not be considered as an indicator of loss of protective immunity because most antibodies decay two months after the second dose, but neutralizing antibodies remain constant for at least six months. Therefore, these latter antibodies could be better indicators for estimating the time-dependent vaccine efficacy.