The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.

Introduction: Serine proteases play a critical role during SARS-CoV-2 infection. Therefore, polymorphisms of transmembrane protease serine 2 (TMPRSS2) and serpine family E member 1 (SERPINE1) could help to elucidate the contribution of variability to COVID-19 outcomes. Methods: To evaluate the genetic variants of the genes previously associated with COVID-19 outcomes, we performed a cross-sectional study in which 1536 SARS-CoV-2-positive participants were enrolled. TMPRSS2 (rs2070788, rs75603675, rs12329760) and SERPINE1 (rs2227631, rs2227667, rs2070682, rs2227692) were genotyped using the Open Array Platform. The association of polymorphisms with disease outcomes was determined by logistic regression analysis adjusted for covariates (age, sex, hypertension, type 2 diabetes, and obesity). Results: According to our codominant model, the GA genotype of rs2227667 (OR=0.55; 95% CI = 0.36-0.84; p=0.006) and the AG genotype of rs2227667 (OR=0.59; 95% CI = 0.38-0.91; p=0.02) of SERPINE1 played a protective role against disease. However, the rs2227692 T allele and TT genotype SERPINE1 (OR=1.45; 95% CI = 1.11-1.91; p=0.006; OR=2.08; 95% CI = 1.22-3.57; p=0.007; respectively) were associated with a decreased risk of death. Similarly, the rs75603675 AA genotype TMPRSS2 had an OR of 1.97 (95% CI = 1.07-3.6; p=0.03) for deceased patients. Finally, the rs2227692 T allele SERPINE1 was associated with increased D-dimer levels (OR=1.24; 95% CI = 1.03-1.48; p=0.02). Discussion: Our data suggest that the rs75603675 TMPRSS2 and rs2227692 SERPINE1 polymorphisms are associated with a poor outcome. Additionally, rs2227692 SERPINE1 could participate in hypercoagulable conditions in critical COVID-19 patients, and this genetic variant could contribute to the identification of new pharmacological targets and treatment strategies to block the inhibition of TMPRSS2 entry into SARS-CoV-2.

Two-trace two-dimensional correlation spectra (2T2D-COS) analysis using FTIR spectra to monitor the immune response by COVID-19.

There is a growing trend in using saliva for SARS-CoV-2 detection with reasonable accuracy. We have studied the responses of IgA, IgG, and IgM in human saliva by directly comparing disease with control analyzing two-trace two-dimensional correlation spectra (2T2D-COS) employing Fourier transform infrared (FTIR) spectra. It explores the molecular-level variation between control and COVID-19 saliva samples. The advantage of 2T2D spectra is that it helps in discriminating remarkably subtle features between two simple pairs of spectra. It gives spectral information from highly overlapped bands associated with different systems. The clinical findings from 2T2D show the decrease of IgG and IgM salivary antibodies in the 50, 60, 65, and 75-years COVID-19 samples. Among the various COVID-19 populations studied the female 30-years group reveals defense mechanisms exhibited by IgM and IgA. Lipids and fatty acids decrease, resulting in lipid oxidation due to the SARS-CoV-2 in the samples studied. Study shows salivary thiocyanate plays defense against SARS-CoV-2 in the male population in 25 and 35 age groups. The receiver operation characteristics statistical method shows a sensitivity of 98% and a specificity of 94% for the samples studied. The measure of accuracy computed as F score and G score has a high value, supporting our study's validation. Thus, 2T2D-COS analysis can potentially monitor the progression of immunoglobulin's response function to COVID-19 with reasonable accuracy, which could help diagnose clinical trials. KEY MESSAGES: The molecular profile of salivary antibodies is well resolved and identified from 2T2D-COS FTIR spectra. The IgG antibody plays a significant role in the defense mechanism against SARS-CoV-2 in 25-40 years. 2T2D-COS reveals the absence of salivary thiocyanate in the 40-75 years COVID-19 population. The receiver operation characteristic (ROC) analysis validates our study with high sensitivity and specificity.

Polyphenolic Compounds Nanostructurated with Gold Nanoparticles Enhance Wound Repair.

Gold nanoparticles (AuNPs) have been used in a wide range of applications, conferring to bio-molecules diverse properties such as delivery, stabilization, and reduction of the adverse effects of drugs or plant extracts. Polyphenolic compounds from Bacopa procumbens (B. procumbens) (BP) can modulate proliferation, adhesion, migration, and cell differentiation, reducing the artificial scratch area in fibroblast cultures and promoting wound healing in an in vivo model. Here, chemically synthesized AuNPs conjugated with BP (AuNP-BP) were characterized using UV-Vis, ATR-FTIR, DLS, zeta-potential, and TEM analysis. The results showed an overlap of the FTIR spectra of the polyphenolic compounds from B. procumbens adhered to the surface of the AuNPs. UV-vis analysis indicated that the average size of the AuNP-BP was 28 nm, while DLS analysis showed a size of 44.58 nm and, by TEM, a size of 16.5 nm with an icosahedral morphology was observed. These measurements suggest an increase in the size of the nanoparticles after conjugation with BP, compared to the sizes of 9 nm, 44.51 nm, and 14.17 nm for the unconjugated AuNPs, respectively. Furthermore, the zeta potential of the AuNPs, which was originally -36.3 ± 12.3 mV shifted to -18.2 ± 7.02 mV after conjugation with BP, indicating improved stability of the nanoparticles. Enhancement of the wound healing effect was evaluated by morphometric, histochemical, and FTIR changes in a rat wound excision model. Results showed that the nanoconjugation process reduced the BP concentrations by 100-fold to have the same wound healing effect as BP alone. Besides, histological and FTIR spectroscopy analyses demonstrated that AuNP-BP treatment exhibited better macroscopical performance, showing a reduction in inflammatory cells and an increased synthesis and improved organization of collagen fibers.

Dynamic response antibodies SARS-CoV-2 human saliva studied using two-dimensional correlation (2DCOS) infrared spectral analysis coupled with receiver operation characteristics analysis.

COVID-19 has affected the entire world due to the rapid spread of SARS-CoV-2, mainly through airborne particles from saliva, which, being easily obtained, help monitor the progression of the disease. Fourier transform infrared (FTIR) spectra combined with chemometric analysis could increase the diagnostic efficiency of the disease. However, two-dimensional correlation spectroscopy (2DCOS) is superior to conventional spectra as it helps to resolve the minute overlapped peaks. In this work, we aimed to use 2DCOS and receiver operating characteristic (ROC) analyses to compare the immune response in saliva associated with COVID-19, which could be important in biomedical diagnosis. FTIR spectra of human saliva samples from male (575) and female (366) patients ranging from 20 to 85 ± 2 years of age were used for the study. Age groups were segregated as G1 (20-40 ± 2 years), G2 (45-60 ± 2 years), and G3 (65-85 ± 2 years). The results of the 2DCOS analysis showed biomolecular changes in response to SARS-CoV-2. 2DCOS analyses of the male G1 + (1579,1644) and -(1531,1598) cross peaks evidenced changes such as amide I > IgG. Female G1 cross peaks -(1504,1645), (1504,1545) and -(1391,1645) resulted in amide I > IgG > IgM. The asynchronous spectra in 1300-900 cm-1 of the G2 male group showed that IgM is more important in diagnosing infections than IgA. Female G2 asynchronous spectra -(1027,1242) and + (1068,1176) showed that IgA > IgM is produced against SARS-CoV-2. The G3 male group evidenced antibody changes in IgG > IgM. The absence of IgM in the female G3 population diagnoses a specifically targeted immunoglobulin associated with sex. Moreover, ROC analysis showed sensitivity (85-89 % men; 81-88 % women) and specificity (90-93 % men; 78-92 % women) for the samples studied. The general classification performance (F1 score) of the studied samples is high for the male (88-91 %) and female (80-90 %) populations. This high PPV (positive predictive value) and NPV (negative predictive value) verify our segregation of COVID-19 positive and negative sample groups. Therefore, 2DCOS with ROC analysis using FTIR spectra have the potential for a non-invasive approach to monitoring COVID-19.

Implication of myddosome complex genetic variants in outcome severity of COVID-19 patients.

BACKGROUND/PURPOSE(S): During a viral infection, the immune response is mediated by the toll-like receptors and myeloid differentiation Factor 88 (MyD88) that play an important role sensing infections such as SARS-CoV-2 which has claimed the lives of more than 6.8 million people around the world. METHODS: We carried out a cross-sectional with a population of 618 SARS-CoV-2-positive unvaccinated subjects and further classified based on severity: 22% were mild, 34% were severe, 26% were critical, and 18% were deceased. Toll Like Receptor 7 (TLR7) single-nucleotide polymorphisms (rs3853839, rs179008, rs179009, and rs2302267) and MyD88 (rs7744) were genotyped using TaqMan OpenArray. The association of polymorphisms with disease outcomes was performed by logistic regression analysis adjusted by covariates. RESULTS: A significant association of rs3853839 and rs7744 of the TLR7 and MyD88 genes, respectively, was found with COVID-19 severity. The G/G genotype of the rs3853839 TLR7 was associated with the critical outcome showing an Odd Ratio = 1.98 (95% IC = 1.04-3.77). The results highlighted an association of the G allele of MyD88 gene with severe, critical and deceased outcomes. Furthermore, in the dominant model (AG + GG vs. AA), we observed an Odd Ratio = 1.70 (95% CI = 1.02-2.86) with severe, Odd Ratio = 1.82 (95% CI = 1.04-3.21) with critical, and Odd Ratio = 2.44 (95% CI = 1.21-4.9) with deceased outcomes. CONCLUSION: To our knowledge this work represents an innovative report that highlights the significant association of TLR7 and MyD88 gene polymorphisms with COVID-19 outcomes and the possible implication of the MyD88 variant with D-dimer and IFN-α concentrations.

Skin wound healing improvement in diabetic mice through FTIR microspectroscopy after implanting pluripotent stem cells.

Diabetes is a chronic degenerative disease that carries multiple complications. One of the most important complications is the diabetic cutaneous complications, such as skin lesions, ulcerations, and diabetic foot, which are present in 30%-70% of the patients. Currently, the treatments for wound healing include growth factors and cytokines, skin substitutes, hyperbaric oxygen therapy, and skin grafts. However, these treatments are ineffective due to the complex mechanisms involved in developing unhealed wounds. Considering the aforementioned complications, regenerative medicine has focused on this pathology using stem cells to improve these complications. However, it is essential to mention that there is a poor biomolecular understanding of diabetic skin and the effects of treating it with stem cells. For this reason, herein, we investigated the employment of pluripotent stem cells (PSC) in the wound healing process by carrying out morphometric, histological, and Fourier-transform infrared microspectroscopy (FTIRM) analysis. The morphometric analysis was done through a photographic follow-up, measuring the lesion areas. For the histological analysis, hematoxylin & eosin and picrosirius red stains were used to examine the thickness of the epidermis and the cellularity index in the dermis as well as the content and arrangement of collagen type I and III fibers. Finally, for the FTIRM analysis, skin cryosections were obtained and analyzed by employing a Cassegrain objective of 16× of an FTIR microscope coupled to an FTIR spectrometer. For this purpose, 20 mice were divided into two groups according to the treatment they received: the Isotonic Salt Solution (ISS) group and the PSCs group (n = 10). Both groups were induced to diabetes, and six days after diabetes induction, an excisional lesion was made in the dorsal area. Furthermore, using microscopy and FTIRM analysis, the skin healing process on days 7 and 15 post-skin lesion excision was examined. The results showed that the wound healing process over time, considering the lesion size, was similar in both groups; however, the PSCs group evidenced hair follicles in the wound. Moreover, the histological analysis evidenced that the PSCs group exhibited granulation tissue, new vessels, and better polarity of the keratinocytes. In addition, the amount of collagen increased with a good deposition and orientation, highlighting that type III collagen fibers were more abundant in the PSCs. Finally, the FTIR analysis evidenced that the PSCs group exhibited a faster wound healing process. In conclusion, the wounds treated with PSCs showed a more rapid wound healing process, less inflammatory cellular infiltration, and more ordered structures than the ISS group.

Comparison of the Immune Response in Vaccinated People Positive and Negative to SARS-CoV-2 Employing FTIR Spectroscopy.

Various immunopathological events characterize the systemic acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Moreover, it has been reported that coronavirus disease 2019 (COVID-19) vaccination and infection by SARS-CoV-2 induce humoral immunity mediated by B-cell-derived antibodies and cellular immunity mediated by T cells and memory B cells. Immunoglobulins, cytokines, and chemokines play an important role in shaping immunity in response to infection and vaccination. Furthermore, different vaccines have been developed to prevent COVID-19. Therefore, this research aimed to analyze and compare Fourier-transform infrared (FTIR) spectra of vaccinated people with a positive (V-COVID-19 group) or negative (V-Healthy group) real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR) test, evaluating the immunoglobulin and cytokine content as an immunological response through FTIR spectroscopy. Most individuals that integrated the V-Healthy group (88.1%) were asymptomatic; on the contrary, only 28% of the V-COVID-19 group was asymptomatic. Likewise, 68% of the V-COVID-19 group had at least one coexisting illness. Regarding the immunological response analyzed through FTIR spectroscopy, the V-COVID-19 group showed a greater immunoglobulins G, A, and M (IgG, IgA, and IgM) content, as well as the analyzed cytokines interferon-gamma (IFN-γ), tumor necrosis factor-alpha (TNF-ɑ), and interleukins 1ß, 6, and 10 (IL-1ß, IL-6, and IL-10). Therefore, we can state that it was possible to detect biochemical changes through FTIR spectroscopy associated with COVID-19 immune response in vaccinated people.

Changes in Brain-Derived Neurotrophic Factor by different kind of military training / Cambios en el Factor Neurotrófico Derivado del Cerebro por diferentes tipos de entrenamiento militar

Abstract Background: Brain Derived Neurotrophic Factor (BDNF) serum levels change with age, physical exercise, and neuropsychiatric disorders such as dementia, depression, anxiety, schizophrenia, and bipolar disorder. Military personnel are physically and mental training with an increased risk of developing mental disorders. Objective: The main objective of this study was determinate the BDNF serum levels in four military samples. 132 participants, administrative personnel (control) and three different Special Operations Forces (SOF) groups participated in the study. Methods: A first group of SOFS was on a training course (SOF-TC), second group exposed to 48 hours of operational stress (SOF-48hS) and third group exposed to two-weeks of operational stress (SOF-2wS). The mini interview was conducted and CAPS, and BNF levels were determined by ELISA assays. Results: Differences in age, were evaluated by ANOVA post-hoc Tukey´s. Differences in BNDF levels are evaluated by the Kruskal-Wallis test post hoc Dunn's. Spearman's correlation was used to analyze the relationship between BDNF and age. The SOF-TC had a BDNF elevation in comparison with Control group that could be related to age differences or the physical and mental training.SOF-2wS had decreased BDNF levels in comparison to the other groups that could be related to the psychosocial stress or other mental disorders such as PTSD. That group, 2 participants showed signs of PTSD. Conclusion: BDNF levels are an accurate method for the evaluation of mental health to prevent, diagnose & treat mental disorders in military personnel exposed to operational stress.

Resumen Introducción: Los niveles séricos del factor neurotrófico derivado del cerebro (BDNF) cambian con la edad, el ejercicio físico y los trastornos neuropsiquiátricos como la demencia, la depresión, la ansiedad, la esquizofrenia y el trastorno bipolar. El personal militar está en formación física y mental con un mayor riesgo de desarrollar trastornos mentales. Objetivo: El objetivo principal de este estudio fue determinar los niveles séricos de BDNF en cuatro muestras militares. Participaron en el estudio 132 individuos entre personal administrativo (control) y tres grupos diferentes de Fuerzas de Operaciones Especiales (SOF). Métodos: Un primer grupo de SOFS estaba en un curso de capacitación (SOF-TC), el segundo grupo expuesto a 48 horas de estrés operativo (SOF-48hS) y el tercer grupo expuesto a dos semanas de estrés operativo (SOF-2wS). Se realizó la minientrevista y se determinaron los niveles de CAPS y BNF mediante ensayos ELISA. Resultados: Las diferencias en edad, se evaluaron mediante ANOVA post hoc de Tukey. Las diferencias en los niveles de BNDF se evalúan mediante la prueba de Dunn post hoc de Kruskal-Wallis. Se utilizó la correlación de Spearman para analizar la relación entre BDNF y la edad. El SOF-TC tuvo una elevación de BDNF en comparación con el grupo control que podría estar relacionado con las diferencias de edad o el entrenamiento físico y mental, tal como PTSD. En ese grupo, dos participantes mostraron signos de PTSD. Conclusión: Los niveles de BDNF son un método preciso para la evaluación de la salud mental para prevenir, diagnosticar y tratar los trastornos mentales en el personal militar expuesto al estrés operativo.

Detection of People Positive to COVID-19 through ATR-FTIR Spectra Analysis of Saliva using Machine Learning / Detección de Personas Positivas a COVID-19 mediante el Análisis de Espectros ATR-FTIR de Muestras de Saliva empleando Machine Learning

ABSTRACT COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. This virus's spread is mainly through droplets released from the nose or mouth of an infected person. Although vaccines have been developed that effectively reduce the effects that this viral infection causes, the most effective method to contain the virus's spread is numerous tests to detect and isolate possible carriers. However, the response time, combined with the cost of actual tests, makes this option impractical. Herein, we compare some machine learning methodologies to propose a reliable strategy to detect people positive to COVID-19, analyzing saliva spectra obtained by Fourier transform infrared (FTIR) spectroscopy. After analyzing 1275 spectra, with 7 strategies commonly used in machine learning, we concluded that a multivariate linear regression model (MLMR) turns out to be the best option to identify possible infected persons. According to our results, the displacement observed in the region of the amide I of the spectrum, is fundamental and reliable to establish a border from the change in slope that causes this displacement that allows us to characterize the carriers of the virus. Being more agile and cheaper than reverse transcriptase polymerase chain reaction (RT-PCR), it could be reliably applied as a preliminary strategy to RT-PCR.

RESUMEN La COVID-19 es una enfermedad infecciosa ocasionada por el virus SARS-CoV-2. La propagación de este virus se produce principalmente a través de gotitas liberadas por la nariz o la boca de una persona infectada. Aunque se han desarrollado vacunas que permiten reducir efectivamente los efectos que esta infección viral provoca, el método más eficaz para contener la propagación del virus son las numerosas pruebas para detectar y aislar los posibles portadores. Sin embargo, el tiempo de respuesta, combinado con el costo de las pruebas reales, hace que esta opción sea poco práctica. Aquí, comparamos algunas metodologías de machine learning para proponer una estrategia confiable para detectar personas positivas a COVID-19 analizando espectros de saliva obtenidos por espectroscopia infrarroja transformada de Fourier (FTIR). Tras analizar 1275 espectros, con 7 estrategias comúnmente empleadas en el área de machine learning, concluimos que un modelo de regresión lineal multivariante (MLMR) resulta ser la mejor opción para identificar posibles infectados. De acuerdo con nuestros resultados, el desplazamiento observado en la región de la amida I del espectro, resulta fundamental y confiable para establecer una frontera a partir del cambio de pendiente que este provoca. Al ser más ágil y económica que la reacción en cadena de la polimerasa con transcriptasa inversa (RT-PCR), podría aplicarse confiablemente como estrategia preliminar a RT-PCR.

Characterization of Polyphenolic Compounds from Bacopa procumbens and Their Effects on Wound-Healing Process.

Wounds represent a medical problem that contributes importantly to patient morbidity and to healthcare costs in several pathologies. In Hidalgo, Mexico, the Bacopa procumbens plant has been traditionally used for wound-healing care for several generations; in vitro and in vivo experiments were designed to evaluate the effects of bioactive compounds obtained from a B. procumbens aqueous fraction and to determine the key pathways involved in wound regeneration. Bioactive compounds were characterized by HPLC/QTOF-MS, and proliferation, migration, adhesion, and differentiation studies were conducted on NIH/3T3 fibroblasts. Polyphenolic compounds from Bacopa procumbens (PB) regulated proliferation and cell adhesion; enhanced migration, reducing the artificial scratch area; and modulated cell differentiation. PB compounds were included in a hydrogel for topical administration in a rat excision wound model. Histological, histochemical, and mechanical analyses showed that PB treatment accelerates wound closure in at least 48 h and reduces inflammation, increasing cell proliferation and deposition and organization of collagen at earlier times. These changes resulted in the formation of a scar with better tensile properties. Immunohistochemistry and RT-PCR molecular analyses demonstrated that treatment induces (i) overexpression of transforming growth factor beta (TGF-ß) and (ii) the phosphorylation of Smad2/3 and ERK1/2, suggesting the central role of some PB compounds to enhance wound healing, modulating TGF-ß activation.

Hepaticoyeyunostomía asistida por Robot vs la técnica abierta en un Hospital de tercer nivel / Robotic-Assisted vs open technique Hepaticojejunostomy in a third level Hospital

Resumen A pesar de la evidencia científica de la seguridad, la eficacia de la cirugía robótica, existen pocas publicaciones en la reparación de la vía biliar. El principal objetivo de este estudio fue evaluar los resultados de la hepaticoyeyunostomía en Y de Roux asistida por robot (HYR) y la hepaticoyeyunostomía en Y de Roux abierta (HYA) en el HCM en el periodo de enero de 2012 a enero de 2019. Este es un estudio retrospectivo se recolectaron los datos sociodemográficos, las principales comorbilidades y se determinó la principal indicación quirúrgica de la hepaticoyeyunostomía; se agruparon según la indicación quirúrgica para comparar el sangrado transoperatorio, tiempo quirúrgico, los días de estancia hospitalaria y morbilidad entre la HYR vs HYA. Se registraron 78 hepaticoyeyunostomías (31 fueron HYR y 47 HYA), la edad promedio fue 55.2 ± 17.7 años predominio del género femenino, la principal comorbilidad fue la hipertensión arterial. La principal indicación quirúrgica de hepaticoyeyunostomía fue la disrupción de vía la biliar, en estos pacientes se encontró menor tiempo quirúrgico, días de hospitalización, y morbilidad en los pacientes sometidos a HYR que los pacientes tratados mediante HYA.

Abstract Despite the scientific evidence of safety, the efficacy of robotic surgery, there are few publications on bile duct repair. The main objective of this study was to evaluate the results of Robotic-assisted Hepaticojejunostomy (RHJ) versus open Hepaticoyejunostomy (OHJ) in the HCM during the period from January 2012 to January 2019. This is a retrospective study, database of patients was collected: sociodemographic data, the main comorbidities, and the main surgical indication of hepaticojejunostomy were determined. They were grouped according to the surgical indication to compare: transoperative bleeding, surgical time, hospital length of stay and morbidity RHJ vs. OHJ. Seventy-eight hepaticojejunostomies were registered (31 RHJ and 47 OHJ), the average age was 55.2 ± 17.7 years, predominantly female, the main comorbidity was arterial hypertension. The main surgical indication of hepaticoyeynostomy was bile duct disruption. Shorter surgical time, days of hospitalization, and morbidity were found in patients undergoing RHJ than patients treated with OHJ.

ACE and ACE2 Gene Variants Are Associated With Severe Outcomes of COVID-19 in Men.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current coronavirus disease 2019 (COVID-19) pandemic, affecting more than 219 countries and causing the death of more than 5 million people worldwide. The genetic background represents a factor that predisposes the way the host responds to SARS-CoV-2 infection. In this sense, genetic variants of ACE and ACE2 could explain the observed interindividual variability to COVID-19 outcomes. In order to improve the understanding of how genetic variants of ACE and ACE2 are involved in the severity of COVID-19, we included a total of 481 individuals who showed clinical manifestations of COVID-19 and were diagnosed by reverse transcription PCR (RT-PCR). Genomic DNA was extracted from peripheral blood and saliva samples. ACE insertion/deletion polymorphism was evaluated by the high-resolution melting method; ACE single-nucleotide polymorphism (SNP) (rs4344) and ACE2 SNPs (rs2285666 and rs2074192) were genotyped using TaqMan probes. We assessed the association of ACE and ACE2 polymorphisms with disease severity using logistic regression analysis adjusted by age, sex, hypertension, type 2 diabetes, and obesity. The severity of the illness in our study population was divided as 31% mild, 26% severe, and 43% critical illness; additionally, 18% of individuals died, of whom 54% were male. Our results showed in the codominant model a contribution of ACE2 gene rs2285666 T/T genotype to critical outcome [odds ratio (OR) = 1.83; 95%CI = 1.01-3.29; p = 0.04] and to require oxygen supplementation (OR = 1.76; 95%CI = 1.01-3.04; p = 0.04), in addition to a strong association of the T allele of this variant to develop critical illness in male individuals (OR = 1.81; 95%CI = 1.10-2.98; p = 0.02). We suggest that the T allele of rs2285666 represents a risk factor for severe and critical outcomes of COVID-19, especially for men, regardless of age, hypertension, obesity, and type 2 diabetes.

Burnout Syndrome in a Military Tertiary Hospital Staff during the COVID-19 Contingency.

(1) Background: Burnout syndrome (BOS) is defined as a psychological state of physical and mental fatigue associated with work. The COVID-19 pandemic greatly impacted the physical and mental wellbeing of health professionals. The objective of this work was to determine the impact on personnel, monitoring the frequency of BOS throughout the pandemic. (2) Methods: The Maslach Burnout Inventory (MBI) was self-applied in four periods of the pandemic according to sociodemographic and employment characteristics. In this study, all hospital personnel were included; the association of BOS with sex, age, type of participant (civilian or military), military rank and profession was analyzed. (3) Results: The frequency of BOS was 2.4% (start of the pandemic), 7.9% (peak of the first wave), 3.7% (end of the first wave) and 3.6% (peak of the third wave). Emotional exhaustion (EE) was the most affected factor, and the groups most affected were men under 30 years of age, civilians, chiefs and doctors, especially undergraduate medical doctors and specialty resident doctors, and nursing personnel were less affected. (4) Conclusions: The low BOS levels show that the containment measures and military training implemented by the hospital authorities were effective, although the chief personnel were more affected in the first wave. It is probable that this combination allowed the containment of BOS, which was not observed in civilians.

Intranasal dexamethasone: a new clinical trial for the control of inflammation and neuroinflammation in COVID-19 patients.

BACKGROUND: By end December of 2021, COVID-19 has infected around 276 million individuals and caused over 5 million deaths worldwide. Infection results in dysregulated systemic inflammation, multi-organ dysfunction, and critical illness. Cells of the central nervous system are also affected, triggering an uncontrolled neuroinflammatory response. Low doses of glucocorticoids, administered orally or intravenously, reduce mortality among moderate and severe COVID-19 patients. However, low doses administered by these routes do not reach therapeutic levels in the CNS. In contrast, intranasally administered dexamethasone can result in therapeutic doses in the CNS even at low doses. METHODS: This is an approved open-label, multicenter, randomized controlled trial to compare the effectiveness of intranasal versus intravenous dexamethasone administered in low doses to moderate and severe COVID-19 adult patients. The protocol is conducted in five health institutions in Mexico City. A total of 120 patients will be randomized into two groups (intravenous vs. intranasal) at a 1:1 ratio. Both groups will be treated with the corresponding dexamethasone scheme for 10 days. The primary outcome of the study will be clinical improvement, defined as a statistically significant reduction in the NEWS-2 score of patients with intranasal versus intravenous dexamethasone administration. The secondary outcome will be the reduction in mortality during hospitalization. CONCLUSIONS: This protocol is currently in progress to improve the efficacy of the standard therapeutic dexamethasone regimen for moderate and severe COVID-19 patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04513184 . Registered November 12, 2020. Approved by La Comisión Federal para la Protección contra Riesgos Sanitarios (COFEPRIS) with identification number DI/20/407/04/36. People are currently being recruited.

Relación de la expresión génica de IP-10 con la actividad del lupus eritematoso sistémico / Relationship of IP-10 gene expression to systemic lupus erythematosus activity

Objetivo: Evaluar la expresión génica del gen IP-10 en pacientes con lupus eritematoso sistémico (LES) y su posible relación con la actividad de la enfermedad. Pacientes y métodos: El estudio incluyó 120 pacientes diagnosticados con LES y 30 controles sanos. Se investigó la expresión génica relativa de IP-10 con el método fold change, la cual fue correlacionada con el nivel de actividad lúpica evaluado con el instrumento SLEDAI 2-K. Resultados: Se encontraron diferentes niveles en la expresión génica de IP-10 relacionada con la actividad lúpica (p =<0,001). Estos fueron mayores en los pacientes con actividad grave respecto a aquellos sin actividad, baja y moderada. El incremento en la expresión génica del grupo con actividad grave fue significativo con un fold change de tres. Conclusión: El incremento significativo en la expresión génica relativa IP-10 puede ser un marcador de actividad lúpica grave.(AU)

Objectives: To evaluate IP-10 gene expression in patients with SLE, and its possible relationship with disease activity. Patients and methods: This study included 120 patients diagnosed with SLE and 30 healthy controls. The relative gene expression of IP-10 was investigated with the Fold Change method, which was correlated with the level of lupus activity evaluated with the SLEDAI 2-K instrument. Results: Different levels of gene expression were found according to the SLE activity (p =<0.001). IP-10 gene expression levels were higher in patients with severe activity than in those with no activity, low activity, and moderate activity. The increase in gene expression in the severe activity group was significant with a Fold Change of 3. Conclusion: The significant increase in relative gene expression IP-10 may be a marker of severe lupus activity.(AU)

Relationship of IP-10 gene expression to systemic lupus erythematosus activity.

OBJECTIVES: To evaluate IP-10 gene expression in patients with SLE, and its possible relationship with disease activity. PATIENTS AND METHODS: This study included 120 patients diagnosed with SLE and 30 healthy controls. The relative gene expression of IP-10 was investigated with the Fold Change method, which was correlated with the level of lupus activity evaluated with the SLEDAI 2-K instrument. RESULTS: Different levels of gene expression were found according to the SLE activity (P = <.001). IP-10 gene expression levels were higher in patients with severe activity than in those with no activity, low activity, and moderate activity. The increase in gene expression in the severe activity group was significant with a Fold Change of 3 CONCLUSION: The significant increase in relative gene expression IP-10 may be a marker of severe lupus activity.

ATR-FTIR spectrum analysis of saliva samples from COVID-19 positive patients.

The coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Even though numerous diagnostic tests for SARS-CoV-2 have been proposed, new diagnosis strategies are being developed, looking for less expensive methods to be used as screening. This study aimed to establish salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Clinical dates, laboratories, and saliva samples of COVID-19 patients (N = 255) and healthy persons (N = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO2, cough, dyspnea, headache, and fever principally. C-reactive protein, lactate dehydrogenase, fibrinogen, D-dimer, and ferritin were the most important altered laboratory blood tests, which were increased. In addition, changes in amide I and immunoglobulin regions were evidenced in the FTIR spectra analysis, and the MLRM showed clear discrimination between both groups. Specific salivary vibrational modes employing ATR-FTIR spectroscopy were established; moreover, the COVID-19 biological fingerprint in saliva was characterized, allowing the COVID-19 detection using an MLRM, which could be helpful for the development of new diagnostic devices.

Epidemiology of hospitalized patients with COVID-19 in a tertiary care hospital.

INTRODUCTION: COVID-19, caused by the betacoronavirus SARS-CoV-2, has overwhelmed the world's health systems. OBJECTIVE: To describe the epidemiological characteristics of patients treated in a tertiary care hospital. METHODS: A retrospective cohort study of patients diagnosed with or suspected of having COVID-19 from March 23 to July 31, 2020 was conducted. RESULTS: 4,401 patients were hospitalized at Central Military Hospital, out of which 35 % were beneficiaries, 26 % civilians, 28 % active military personnel, and only 11 %, retired military personnel. Male gender predominated, both in hospitalized patients and in those who died, as well as the O+ group and absence of comorbidities; among the observed comorbidities, the main ones were overweight and diabetes. Hospitalized patients' median age was 49 years, while median age of those who died was 62 years; women older than 51 years had a higher risk of dying. Adjusted case fatality rate was 18.5 %; 50 % died within the first six days. CONCLUSIONS: In this study, the epidemiological characteristics and main comorbidities in Mexican patients with SARS-CoV-2 infection were identified.

INTRODUCCIÓN: COVID-19, causada por el betacoronavirus SARS-CoV-2, ha saturado los sistemas de salud del mundo. OBJETIVO: Describir las características epidemiológicas de los pacientes atendidos en un hospital de tercer nivel. MÉTODOS: Se realizó una cohorte retrospectiva de pacientes con diagnóstico o sospecha de COVID-19, del 23 de marzo al 31 de julio de 2020. RESULTADOS: En el Hospital Central Militar se hospitalizaron 4401 pacientes, 35 % derechohabientes, 26 % civiles, 28 % militares en activo y solo 11 %, militares retirados. Predominó el sexo masculino, tanto en los pacientes hospitalizados como en los que fallecieron, el grupo O+ y la ausencia de comorbilidades; entre las comorbilidades que se observaron, las principales fueron el sobrepeso y la diabetes. La mediana de edad de los pacientes hospitalizados fue de 49 años, mientras que 62 años fue la edad de quienes fallecieron; las mujeres mayores de 51 años tuvieron mayor riesgo de fallecer. La tasa de letalidad ajustada fue de 18.5 %; 50 % falleció durante los primeros seis días. CONCLUSIONES: En este estudio se lograron identificar las características epidemiológicas y se destacaron las principales comorbilidades en pacientes mexicanos con infección por SARS-CoV-2.

Epidemiología de los pacientes hospitalizados con COVID-19 en un hospital de tercer nivel / Epidemiology of hospitalized patients with COVID-19 in a tertiary care hospital

Resumen Introducción: COVID-19, causada por el betacoronavirus SARS-CoV-2, ha saturado los sistemas de salud del mundo. Objetivo: Describir las características epidemiológicas de los pacientes atendidos en un hospital de tercer nivel. Métodos: Se realizó una cohorte retrospectiva de pacientes con diagnóstico o sospecha de COVID-19, del 23 de marzo al 31 de julio de 2020. Resultados: En el Hospital Central Militar se hospitalizaron 4401 pacientes, 35 % derechohabientes, 26 % civiles, 28 % militares en activo y solo 11 %, militares retirados. Predominó el sexo masculino, tanto en los pacientes hospitalizados como en los que fallecieron, el grupo O+ y la ausencia de comorbilidades; entre las comorbilidades que se observaron, las principales fueron el sobrepeso y la diabetes. La mediana de edad de los pacientes hospitalizados fue de 49 años, mientras que 62 años fue la edad de quienes fallecieron; las mujeres mayores de 51 años tuvieron mayor riesgo de fallecer. La tasa de letalidad ajustada fue de 18.5 %; 50 % falleció durante los primeros seis días. Conclusiones: En este estudio se lograron identificar las características epidemiológicas y se destacaron las principales comorbilidades en pacientes mexicanos con infección por SARS-CoV-2.

Abstract Introduction: COVID-19, caused by the betacoronavirus SARS-CoV-2, has overwhelmed the world's health systems. Objective: To describe the epidemiological characteristics of patients treated in a tertiary care hospital. Methods: A retrospective cohort study of patients diagnosed with or suspected of having COVID-19 from March 23 to July 31, 2020 was conducted. Results: 4,401 patients were hospitalized at the Central Military Hospital, out of which 35 % were beneficiaries, 26 % civilians, 28 % active military, and only 11%, retired military. Male gender predominated, both in hospitalized patients and in those who died, as well as the O+ group and absence of comorbidities; among the observed comorbidities, the main ones were overweight and diabetes. Hospitalized patients' median age was 49 years, while median age of those who died was 62 years; women older than 51 years had a higher risk of dying. Adjusted case fatality rate was 18.5 %; 50 % died within the first six days. Conclusions: In this study, the epidemiological characteristics and main comorbidities in Mexican patients with SARS-CoV-2 infection were identified.