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Alzheimer's disease (AD) is the leading cause of dementia, mainly affecting elderly individuals. AD is characterized by ß-amyloid plaques, abnormal tau tangles, neuronal loss, and metabolic disruptions. Recent studies have revealed the involvement of the kynurenine (KP) pathway and the aryl hydrocarbon receptor (AhR) in AD development. The KP pathway metabolizes tryptophan to produce neuroactive substances like kynurenine, kynurenic acid, and quinolinic acid. In AD, high levels of kynurenine and the neurotoxic quinolinic acid are associated with increased neuroinflammation and excitotoxicity; conversely, reduced levels of kynurenic acid, which acts as a glutamate receptor antagonist, compromise neuroprotection. Research has indicated elevated KP metabolites and enzymes in the hippocampus of AD patients and other tissues such as blood, cerebrospinal fluid, and urine. However, the finding that KP metabolites are AD biomarkers in blood, cerebrospinal fluid, and urine has been controversial. This controversy, stemming from the lack of consideration of the specific stage of AD, details of the patient's treatment, cognitive deficits, and psychiatric comorbidities, underscores the need for more comprehensive research. AhR, a ligand-activated transcription factor, regulates immune response, oxidative stress, and xenobiotic metabolism. Various ligands, including tryptophan metabolites, can activate it. Some studies suggest that AhR activation contributes to AD, while others propose that it provides neuroprotection. This discrepancy may be explained by the specific ligands that activate AhR, highlighting the complex relationship between the KP pathway, AhR activation, and AD, where the same pathway can produce both neuroprotective and harmful effects.

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BACKGROUND: During allogeneic Hematopoietic stem cell transplantation (HSCT), frequent pathological scenarios include graft versus host disease (GVHD) and viral infections. We hypothesized if exogenous stimulus as alloantigen and viral antigens might impact on central and effector memory T cells in pediatric recipients. PATIENTS AND METHODS: Subjects included 21 pediatric recipients and 20 healthy children (control group). Peripheral blood samples of patients were collected along the first 712 days post-HSCT. T cell phenotyping of naïve, central, and effector memory T cells (TCMs and TEMs, respectively) was conducted using flow cytometry. Viral nucleic acids were detected using real-time PCR. RESULTS: T cell reconstitution was not reached after 1 year post-HSCT. Chronic GVHD was associated with increased numbers of naïve CD4 T cells (p < 0.05) as well as an increase in TEM and TCM cells of the CD4 (p < 0.0001 and p < 0.05, respectively) and CD8 T cell TEM (p < 0.0001). and TCM (p < 0.001) populations too. Moreover, BK and Epstein-Barr viruses were the main viral pathogens detected (<104 copies), which were associated with a decrease in all T cell compartments. CONCLUSION: During chronic GVHD, alloantigen persistence generates TEM cell enrichment among CD4 and CD8 T cells, and viral infections are associated with deficient recovery of T cells after HSCT.

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A severe complication of allogeneic hematopoietic stem cell transplantation (HSCT) is graft failure (GF). Among others, donor-specific anti-HLA antibodies (DSA) are associated with graft rejection after allogeneic or haploidentical transplantation in adults. Knowledge of DSA and pediatric recipients is limited. Hence, we aimed to generate more information about the presence of DSA (pre- and post-HSCT) and the clinical outcomes (graft rejection and poor function) in children. We identified DSA in 27% of the patients. We observed a higher frequency (50%) of DSA-bearing patients with a benign disease diagnosis than those diagnosed with leukemia (16.66%). We observed graft rejection in one patient (with DSA against two alleles of HLA class I molecules) and poor function in three recipients during the first 30 days after HSCT in the absence of DSA. The presence of donor and nondonor HLA-specific antibodies decreased substantially after transplantation. After the transplant, we identified two patients with DSA specific for HLA class I molecules (independent of clinical relevance), and four recipients showed PGF in the absence of DSA. We were unable to establish any association between the presence of DSA and a clinical outcome: graft failure or prevalence of viral infection.

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Background: Viral respiratory infections in pediatric patients with hematopoietic stem cell transplantation (HSCT) significantly impact morbidity and mortality. It is necessary to determine the viral agents and their frequency of presentation to understand their impact on transplantation patients' evolution. Methods: From January 2017 to December 2019, we conducted a cross-sectional, descriptive, and observational study of patients who underwent HSCT with a viral respiratory infection. Viral identification was performed using multiplex polymerase chain reaction for nine respiratory viruses. Descriptive statistics were performed with a report of central tendency measures and percentages. Results: Of the 54 pediatric patients who underwent HSCT, 59.2% presented an airway infection; in turn, at least one viral agent was identified in 59.3% of these patients. The most frequent viral agents were influenza (25.9%), human rhinovirus (18.5%), and respiratory syncytial virus (18.5%). Viral co-infections occurred in 36.8% of the cases. The reported complications were supplemental oxygen requirement (73.6%), support with mechanical ventilation (21%), admission to the pediatric intensive care unit (15.7%), and mortality associated with a viral respiratory infection (10.5%). Conclusions: Viral respiratory infections are frequent in pediatric patients with HSCT; influenza A/B virus was the most frequent agent. As morbidity and mortality increase due to these infections in patients with HSCT, strategies are necessary for its prevention and timely treatment after transplantation.

Introducción: Las infecciones respiratorias virales en los pacientes pediátricos con trasplante de células progenitoras hematopoyéticas (TCPH) impactan significativamente la morbilidad y la mortalidad. Para comprender su impacto en la evolución de los pacientes receptores de trasplantes es necesario conocer la frecuencia de presentación y los agentes virales. Métodos: De enero de 2017 a diciembre de 2019 se llevó a cabo un estudio transversal, descriptivo y observacional de los pacientes sometidos a TCPH que tuvieron una infección viral de vías respiratorias. La identificación de los virus se realizó por medio de la prueba de reacción en cadena de la polimerasa multiplex para nueve virus respiratorios. Se realizó estadística descriptiva con reporte de medidas de tendencia central y porcentajes. Resultados: De los 54 pacientes incluidos, el 59.2% presentaron una infección de vías respiratorias y se identificó al menos un agente viral en el 59.3% de estos casos. Los virus más frecuentes fueron influenza (25.9%), rinovirus humano (18.5%) y virus sincitial respiratorio (18.5%). En el 36.8% de los casos se detectaron coinfecciones virales. Se presentaron las siguientes complicaciones: requerimiento de oxígeno suplementario (73.6%), soporte con ventilación mecánica (21%), ingreso a la unidad de cuidados intensivos pediátricos (15.7%) y muerte asociada a infección por virus respiratorios (10.5%). Conclusiones: Las infecciones respiratorias virales en los pacientes pediátricos con TCPH son frecuentes; el virus influenza A/B es el agente más habitual. Debido a que estas infecciones se asocian con mayor morbimortalidad en los pacientes con TCPH, son estrategias necesarias para su preven­ción y tratamiento oportuno posterior al trasplante.

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Abstract Background: Viral respiratory infections in pediatric patients with hematopoietic stem cell transplantation (HSCT) significantly impact morbidity and mortality. It is necessary to determine the viral agents and their frequency of presentation to understand their impact on transplantation patients’ evolution. Methods: From January 2017 to December 2019, we conducted a cross-sectional, descriptive, and observational study of patients who underwent HSCT with a viral respiratory infection. Viral identification was performed using multiplex polymerase chain reaction for nine respiratory viruses. Descriptive statistics were performed with a report of central tendency measures and percentages. Results: Of the 54 pediatric patients who underwent HSCT, 59.2% presented an airway infection; in turn, at least one viral agent was identified in 59.3% of these patients. The most frequent viral agents were influenza (25.9%), human rhinovirus (18.5%), and respiratory syncytial virus (18.5%). Viral co-infections occurred in 36.8% of the cases. The reported complications were supplemental oxygen requirement (73.6%), support with mechanical ventilation (21%), admission to the pediatric intensive care unit (15.7%), and mortality associated with a viral respiratory infection (10.5%). Conclusions: Viral respiratory infections are frequent in pediatric patients with HSCT; influenza A/B virus was the most frequent agent. As morbidity and mortality increase due to these infections in patients with HSCT, strategies are necessary for its prevention and timely treatment after transplantation.

Resumen Introducción: Las infecciones respiratorias virales en los pacientes pediátricos con trasplante de células progenitoras hematopoyéticas (TCPH) impactan significativamente la morbilidad y la mortalidad. Para comprender su impacto en la evolución de los pacientes receptores de trasplantes es necesario conocer la frecuencia de presentación y los agentes virales. Métodos: De enero de 2017 a diciembre de 2019 se llevó a cabo un estudio transversal, descriptivo y observacional de los pacientes sometidos a TCPH que tuvieron una infección viral de vías respiratorias. La identificación de los virus se realizó por medio de la prueba de reacción en cadena de la polimerasa multiplex para nueve virus respiratorios. Se realizó estadística descriptiva con reporte de medidas de tendencia central y porcentajes. Resultados: De los 54 pacientes incluidos, el 59.2% presentaron una infección de vías respiratorias y se identificó al menos un agente viral en el 59.3% de estos casos. Los virus más frecuentes fueron influenza (25.9%), rinovirus humano (18.5%) y virus sincitial respiratorio (18.5%). En el 36.8% de los casos se detectaron coinfecciones virales. Se presentaron las siguientes complicaciones: requerimiento de oxígeno suplementario (73.6%), soporte con ventilación mecánica (21%), ingreso a la unidad de cuidados intensivos pediátricos (15.7%) y muerte asociada a infección por virus respiratorios (10.5%). Conclusiones: Las infecciones respiratorias virales en los pacientes pediátricos con TCPH son frecuentes; el virus influenza A/B es el agente más habitual. Debido a que estas infecciones se asocian con mayor morbimortalidad en los pacientes con TCPH, son estrategias necesarias para su prevención y tratamiento oportuno posterior al trasplante.

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INTRODUCTION: After hematopoietic stem cell transplantation (HSCT), natural killer (NK) cells reconstitution is the main barrier against viral infections. OBJECTIVE: To determine that the knowledge on the kinetics of NK cell reconstitution after HSCT contributes to transplant efficient monitoring, which increases the possibility of its success. METHOD: Twenty-one patients undergoing HSCT were included, as well as a control group of clinically healthy individuals. At different time points after transplantation (range of 21 to 670 days), CD3- CD16+ CD56+ NK cells were quantified by flow cytometry in peripheral blood samples. RESULTS: NK cell recovery occurs at three to six months and 10 to 12 months post-transplantation; their number was significantly lower (in comparison with the control group) in the rest of the monitoring time. CONCLUSIONS: The first period of NK cell recovery occurs between three and six months after transplantation. Reconstitution is transient and the number of NK cells varies in the first years.

INTRODUCCIÓN: Después de un trasplante de células progenitoras hematopoyéticas (TCPH), la reconstitución de las células natural killer (NK) es la principal barrera contra las infecciones virales. OBJETIVO: Determinar que el conocimiento sobre la cinética de la reconstitución de las células NK posterior al TCPH contribuye a un eficiente monitoreo del trasplante, lo que incrementa la posibilidad de éxito de este. MÉTODO: Se incluyeron 21 pacientes sometidos a TCPH, así como un grupo control de individuos clínicamente sanos. En diferentes momentos después del trasplante (intervalo de 21 a 670 días), mediante citometría de flujo se cuantificaron las células NK CD3− CD16+ CD56+ en muestras de sangre periférica. RESULTADOS: La recuperación de las células NK ocurre a los tres a seis meses y a los 10 a 12 meses postrasplante; su número fue significativamente menor (en comparación con el grupo control) en el tiempo restante del monitoreo. CONCLUSIONES: El primer periodo de recuperación de las células NK ocurre entre los tres y seis meses posteriores al trasplante. La reconstitución es transitoria y el número de células NK varía en los primeros años.

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Resumen Introducción: Después de un trasplante de células progenitoras hematopoyéticas (TCPH), la reconstitución de las células natural killer (NK) es la principal barrera contra las infecciones virales. Objetivo: Determinar que el conocimiento sobre la cinética de la reconstitución de las células NK posterior al TCPH contribuye a un eficiente monitoreo del trasplante, lo que incrementa la posibilidad de éxito de este. Método: Se incluyeron 21 pacientes sometidos a TCPH, así como un grupo control de individuos clínicamente sanos. En diferentes momentos después del trasplante (intervalo de 21 a 670 días), mediante citometría de flujo se cuantificaron las células NK CD3− CD16+ CD56+ en muestras de sangre periférica. Resultados: La recuperación de las células NK ocurre entre los tres y seis meses y entre los 10 y 12 meses postrasplante; su número fue significativamente menor (en comparación con el grupo control) en el tiempo restante del monitoreo. Conclusiones: El primer periodo de recuperación de las células NK ocurre entre los tres y seis meses posteriores al trasplante. La reconstitución es transitoria y el número de células NK varía en los primeros años.

Abstract Introduction: After hematopoietic stem cell transplantation (HSCT), natural killer (NK) cells reconstitution is the main barrier against viral infections. Objective: To determine that the knowledge on the kinetics of NK cell reconstitution after HSCT contributes to transplant efficient monitoring, which increases the possibility of its success. Method: Twenty-one patients undergoing HSCT were included, as well as a control group of clinically healthy individuals. At different time points after transplantation (range of 21 to 670 days), CD3- CD16+ CD56+ NK cells were quantified by flow cytometry in peripheral blood samples. Results: NK cell recovery occurs at three to six months and 10 to 12 months post-transplantation; their number was significantly lower (in comparison with the control group) in the rest of the monitoring time. Conclusions: The first period of NK cell recovery occurs between three and six months after transplantation. Reconstitution is transient and the number of NK cells varies in the first years.

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Resumen Introducción: La determinación de las diferentes subpoblaciones de los linfocitos T en las diversas patologías y el monitoreo postratamiento ayuda a que el médico tome decisiones terapéuticas teniendo como referencia la cinética de los linfocitos T localizados en sangre periférica. Métodos: Se realizó la estandarización de un perfil de moléculas de superficie para la caracterización de subpoblaciones de linfocitos T: naïve, activados y de memoria, así como las células natural killer o asesinas naturales (CD3− CD56+) en sangre periférica de individuos clínicamente sanos. Resultados: Se identificaron las subpoblaciones de linfocitos: naïve (CD3+, CD4+ o CD8+, CD45RA+, CD62L+, CCR7+), activados (CD3+, CD4+ o CD8+, CD45RA+ o CD45RO+, CD69+ y/o CRTAM+), efectores (CD3+, CD4+ o CD8+, CD45RA+, CD62L−, CCR7−), de memoria central (CD3+, CD4+ o CD8+, CD45RO+, CD62L+, CCR7+) y de memoria efectora (CD3+, CD4+ o CD8+, CD45RO+, CD62L−, CCR7−) en las poblaciones de linfocitos T CD4+ y CD8+. Se integraron los datos obtenidos con estadística descriptiva (valores mínimos, valores máximos, media, mediana). Conclusiones: Este panel será de gran utilidad para monitorear pacientes en quienes se requiera valorar el estado inmunológico desde el punto de vista celular. Particularmente, puede apoyar en el seguimiento de los pacientes en los que se requiera evaluar la reconstitución inmunológica (componente celular de estirpe T).

Abstract Background: The knowledge of the participation of different subpopulations of T lymphocytes in various pathologies helps to make therapeutic decisions, having as reference the presence of the different subpopulations of the T lymphocytes associated with the disease. Methods: A profile standardization of surface molecules for the characterization of subpopulations of T cells was conducted: naïve, activated and memory, as well as natural killer (CD3− CD56+) cells in peripheral blood of clinically healthy individuals. Results: Naïve (CD3+, CD4+ or CD8+, CD45RA+, CD62L+, CCR7+), activated (CD3+, CD4+ or CD8+, CD45RA+ or CD45RO+, CD69+ and/or CRTAM+), effectors (CD3+, CD4+ o CD8+, CD45RA+, CD62L−, CCR7−), central memory (CD3+, CD4+ o CD8+, CD45RO+, CD62L+, CCR7+), memory effectors (CD3+, CD4+ or CD8+, CD62RO+, CD62L−, CCR7−) subpopulations were analyzed by flow cytometry. Descriptive statistics parameters were calculated (minimum values, maximum values, mean values, median). Conclusions: This panel can be very useful for monitoring patients in whom the immunological status from a cellular perspective is needed. Particularly, it can support the follow-up of patients who require an immunological reconstitution (T-cell component) evaluation.

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Background: The knowledge of the participation of different subpopulations of T lymphocytes in various pathologies helps to make therapeutic decisions, having as reference the presence of the different subpopulations of the T lymphocytes associated with the disease. Methods: A profile standardization of surface molecules for the characterization of subpopulations of T cells was conducted: naïve, activated and memory, as well as natural killer (CD3- CD56+) cells in peripheral blood of clinically healthy individuals. Results: Naïve (CD3+, CD4+ or CD8+, CD45RA+, CD62L+, CCR7+), activated (CD3+, CD4+ or CD8+, CD45RA+ or CD45RO+, CD69+ and/or CRTAM+), effectors (CD3+, CD4+ o CD8+, CD45RA+, CD62L-, CCR7-), central memory (CD3+, CD4+ o CD8+, CD45RO+, CD62L+, CCR7+), memory effectors (CD3+, CD4+ or CD8+, CD62RO+, CD62L-, CCR7-) subpopulations were analyzed by flow cytometry. Descriptive statistics parameters were calculated (minimum values, maximum values, mean values, median). Conclusions: This panel can be very useful for monitoring patients in whom the immunological status from a cellular perspective is needed. Particularly, it can support the follow-up of patients who require an immunological reconstitution (T-cell component) evaluation.

Introducción: La determinación de las diferentes subpoblaciones de los linfocitos T en las diversas patologías y el monitoreo postratamiento ayuda a que el médico tome decisiones terapéuticas teniendo como referencia la cinética de los linfocitos T localizados en sangre periférica. Métodos: Se realizó la estandarización de un perfil de moléculas de superficie para la caracterización de subpoblaciones de linfocitos T: naïve, activados y de memoria, así como las células natural killer o asesinas naturales (CD3− CD56+) en sangre periférica de individuos clínicamente sanos. Resultados: Se identificaron las subpoblaciones de linfocitos: naïve (CD3+, CD4+ o CD8+, CD45RA+, CD62L+, CCR7+), activados (CD3+, CD4+ o CD8+, CD45RA+ o CD45RO+, CD69+ y/o CRTAM+), efectores (CD3+, CD4+ o CD8+, CD45RA+, CD62L−, CCR7−), de memoria central (CD3+, CD4+ o CD8+, CD45RO+, CD62L+, CCR7+) y de memoria efectora (CD3+, CD4+ o CD8+, CD45RO+, CD62L−, CCR7−) en las poblaciones de linfocitos T CD4+ y CD8+. Se integraron los datos obtenidos con estadística descriptiva (valores mínimos, valores máximos, media, mediana). Conclusiones: Este panel será de gran utilidad para monitorear pacientes en quienes se requiera valorar el estado inmunológico desde el punto de vista celular. Particularmente, puede apoyar en el seguimiento de los pacientes en los que se requiera evaluar la reconstitución inmunológica (componente celular de estirpe T).

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