Abstract Antimicrobial peptides (AMPs) are evolutionarily conserved molecules involved in the defense mechanisms of a wide range of organisms. Produced in bacteria, insects, plants and vertebrates, ...AMPs protect against a broad array of infectious agents. In mammals these peptides protect against bacteria, viruses, fungi, and certain parasites. Recently, novel biologic effects of AMPs have been documented such as endotoxin neutralization, chemotactic and immunomodulating activities, induction of angiogenesis and wound repair. Thus these ancestral molecules are crucial components of the innate immune system and attractive candidates for novel therapeutic approaches. This review focuses on cathelicin and defensins, the most documented human AMPs, and discusses their antimicrobial activity and pleiotropic immunomodulating effects on inflammatory and infectious diseases.
Identificación temprana de síndrome de WHIM. Informe de un caso Macías Robles, Ana Paola; Tlacuilo-Parra, Alberto; Asencio-Gallegos, Adolfo Eduardo ...
Revista alergia Mexico (Tecamachalco, Pueblo, Mexico : 1993),
05/2023, Letnik:
70, Številka:
1
Journal Article
Recenzirano
Odprti dostop
Antecedentes: El síndrome WHIM corresponde a un error innato de la inmunidad innata e intrínseca, caracterizada por verrugas (Warts), hipogammaglobulinemia, infecciones y mielocatexis, por sus siglas ...en inglés.
Reporte de caso: Paciente masculino de 4 años, con neutropenia severa y linfopenia de células B desde el nacimiento, sin infecciones severas ni verrugas. El estudio de secuenciación genética informó la variante CXCR4 c.1000C>T (p.Arg334*), relacionada con el síndrome de WHIM.
Conclusión: El diagnóstico de neutropenia severa desde el nacimiento debe incluir la búsqueda de errores innatos de la inmunidad, mediante estudios de secuenciación genética, especialmente en pacientes asintomáticos u oligosintomáticos.
Palabras clave: Neutropenia; células B; inmunidad celular; CXCR4; WHIM.
•Inborn errors of immunity (IEI) constitute a heterogeneous group of mainly monogenic primary immune disorders.•The human gene connectome analysis shows that around 3110 genes may be potentially ...included among IEI-causing genes.•The correct molecular diagnosis is crucial for the classification and subsequent therapeutic management of patients with IEI.•NGS has facilitated genetic examinations of inherited disorders, thus allowing a suitable molecular diagnosis in individuals with IEIs.
Patients with inborn errors of immunity (IEI) present with a heterogeneous clinical and immunological phenotype, therefore a correct molecular diagnosis is crucial for the classification and subsequent therapeutic management. On the other hand, IEI are a group of rare congenital diseases with highly diverse features and, in most cases, an as yet unknown genetic etiology. Next generation sequencing has facilitated genetic examinations of rare inherited disorders during the recent years, thus allowing a suitable molecular diagnosis in the IEI patients. This review aimed to investigate the current findings about these techniques in the field of IEI, suggesting an efficient stepwise approach to molecular diagnosis of inborn errors of immunity.
Signal transducer and activator of transcription 3 (STAT3) deficiency is a primary immunodeficiency characterized by eczema, complicated recurrent infections, elevated serum immunoglobulin E (IgE), ...osteopenia, and minimal trauma fractures. Zoledronic acid (ZA) is a long‐acting bisphosphonate that has been successfully used in children with secondary osteoporosis and osteogenesis imperfecta. We describe the case of a 7‐year‐old male with STAT3 deficiency and minimal trauma fractures, who also developed osteonecrosis of the hip. He responded well to intravenous ZA every 6 months for 18 months. Three years later, he walks independently and unaided, and has not suffered any other fractures. Although more studies are needed, ZA might help reduce minimal trauma fractures in patients with STAT3 deficiency.
Objetivo: Analizar los sentimientos acerca de la inmunoterapia alérgeno-específica en Twitter mediante el modelo VADER (Valence Aware Dictionary and sEntiment Reasoner). Métodos: Se utilizaron tweets ...relacionados con la inmunoterapia alérgeno-específica obtenidos a través del API (Application Programming Interface) de Twitter. Se incorporaron las palabras clave “allergy shot” en el período comprendido entre el 1 de enero de 2012 y el 31 de diciembre de 2022. Los datos obtenidos fueron procesados, eliminando las URL, nombres de usuarios, hashtags, espacios múltiples y tweets duplicados. Posteriormente, se realizó un análisis de sentimientos utilizando el modelo VADER. Resultados: Se recolectaron 34,711 tweets, de los que se eliminaron 1928. De los 32,783 tweets restantes, se encontró que el 32.41% de los usuarios expresó un sentimiento negativo, el 31.11% un sentimiento neutral y el 36.47% un sentimiento positivo, con una media de polaridad de 0.02751 (neutral) a lo largo de los 11 años. Conclusiones: La polaridad media de los tweets acerca de la inmunoterapia alérgeno-específica es neutral a lo largo de los 11 años analizados. Existe un aumento anual en la polaridad media positiva a lo largo de los años, sobre todo entre 2017, 2018 y 2022. La cantidad de tweets disminuyó con el tiempo.
Introduction
Patients with inborn errors of immunity (IEI) have a compromised or inappropriate immune response. Although they might be considered a high-risk group for severe SARS-CoV-2 infection, ...the reported impact of COVID-19 in these patients has been reassuring, while the differential susceptibility of distinct types of IEI remains unclear.
Objective
We aimed to describe the findings and outcomes of our known patients with IEI who were diagnosed with COVID-19.
Methods
In a retrospective study from March 2020 to February 2021, four centers in Mexico collected clinical, laboratory, and genetic data from pediatric and adult patients with known diagnoses of IEI who presented with COVID-19, based on compatible symptoms and positive SARS-CoV-2 testing or known household exposure.
Results
We report 31 patients with known IEI from Mexico who presented with SARS-CoV-2 infection. Seventy-four percent were male, 52% were pediatric, and 81% survived. Their ages ranged from 5 months to 56 years, with a median of 17 years. Sixty-five percent had predominant antibody deficiencies, 48% were hospitalized, and 26% required ICU. Pediatric patients had a higher hospital admission rate than adults. Inpatient mortality was 40%, and ICU mortality rate was 63%. Forty-eight percent developed pneumonia, while 36% had evidence of hyperinflammation (4 adults and 7 children). Predominant laboratory features were lymphopenia and thrombocytopenia, seen in 70 and 44% of patients, respectively. The serum D-dimer median value was 2.6 (0.5–20.6) μg/mL, and the median highest ferritin value was 1015 (32–10,303) ng/mL. Intravenous immunoglobulin was used in 80% of patients. Other treatments included macrolides (39%) and corticosteroids (29%). Six patients died from secondary infection or uncontrolled systemic inflammation.
Discussion
Although impaired immunity due to IEI may be a predisposing factor for severe COVID-19, most of our patients with IEI who acquired the SARS-CoV-2 infection developed a well-tolerated infection and survived, as have more than 80% of worldwide reported patients to date. An impaired immune or inflammatory response may be a predisposing factor for some and a protective factor for others. A systematic review of the literature could help identify those patients at risk of severe disease and complications. Healthcare-associated infections should be aggressively prevented.
There are currently more than 480 primary immune deficiency (PID) diseases and about 7000 rare diseases that together afflict around 1 in every 17 humans. Computational aids based on data mining and ...machine learning might facilitate the diagnostic task by extracting rules from large datasets and making predictions when faced with new problem cases. In a proof-of-concept data mining study, we aimed to predict PID diagnoses using a supervised machine learning algorithm based on classification tree boosting.
Through a data query at the USIDNET registry we obtained a database of 2396 patients with common diagnoses of PID, including their clinical and laboratory features. We kept 286 features and all 12 diagnoses to include in the model. We used the XGBoost package with parallel tree boosting for the supervised classification model, and SHAP for variable importance interpretation, on Python v3.7. The patient database was split into training and testing subsets, and after boosting through gradient descent, the predictive model provides measures of diagnostic prediction accuracy and individual feature importance. After a baseline performance test, we used the Class Weighting Hyperparameter, or scale_pos_weight to correct for imbalanced classification.
The twelve PID diagnoses were CVID (1098 patients), DiGeorge syndrome, Chronic granulomatous disease, Congenital agammaglobulinemia, PID not otherwise classified, Specific antibody deficiency, Complement deficiency, Hyper-IgM, Leukocyte adhesion deficiency, ectodermal dysplasia with immune deficiency, Severe combined immune deficiency, and Wiskott-Aldrich syndrome. For CVID, the model found an accuracy on the train sample of 0.80, with an area under the ROC curve (AUC) of 0.80, and a Gini coefficient of 0.60. In the test subset, accuracy was 0.76, AUC 0.75, and Gini 0.51. The positive feature value to predict CVID was highest for upper respiratory infections, asthma, autoimmunity and hypogammaglobulinemia. Features with the highest negative predictive value were high IgE, growth delay, abscess, lymphopenia, and congenital heart disease. For the rest of the diagnoses, accuracy stayed between 0.75 and 0.99, AUC 0.46–0.87, Gini 0.07–0.75, and LogLoss 0.09–8.55.
Clinicians should remember to consider the negative predictive features together with the positives. We are calling this a proof-of-concept study to continue with our explorations. A good performance is encouraging, and feature importance might aid feature selection for future endeavors. In the meantime, we can learn from the rules derived by the model and build a user-friendly decision tree to generate differential diagnoses.
•We aimed to predict primary immune deficiency diagnoses using a supervised machine learning algorithm based on classification tree boosting.•We obtained and curated a database of 2396 patients with common diagnoses of PID, including their clinical and laboratory features.•We kept 286 features and all 12 diagnoses to include in the model. For the interpretation of variables, to each feature an importance value. Each diagnosis is differentiated or predicted against all others. The patient database is split randomly into training and testing subsets. We found a good performance to predict any of the twelve diagnoses. Accuracy and Area Under the ROC Curve stayed between 0.70 and 0.80 for most diseases, and Gini indexes were around 0.50.•Predictive performance plummeted when the number of disease representatives fell under 50–60 cases.
Investigators identified autoantibodies against interleukin-23 (with or without anti–interleukin-12) in patients with a variety of opportunistic infections, especially in those with thymoma.
El virus Epstein-Barr es un virus gamma herpes que afecta exclusivamente a humanos; fue el primer virus oncogénico descrito y se ha relacionado con más de siete diferentes tipos de cáncer. ...Curiosamente, el intercambio de genes debido a infecciones virales ha permitido la evolución de los organismos celulares, favoreciendo el desarrollo de nuevas funciones y supervivencia del hospedero. El virus Epstein-Barr comparte cientos de millones de años de coevolución con la especie humana y más del 95% de la población adulta mundial se ha infectado en algún momento de su vida. La infección se adquiere principalmente durante la infancia, y en la mayoría de los casos aparece sin ninguna manifestación grave aparente. Sin embargo, en los adolescentes y la población joven-adulta, alrededor de un 10 a 30% evolucionan a mononucleosis infecciosa. Las células NK y T CD8+ son células citotóxicas cruciales durante las respuestas antivirales y se ha demostrado que controlan y eliminan la infección por el virus Epstein-Barr. No obstante, cuando se afecta su función efectora, el desenlace puede ser fatal. El objetivo de esta revisión es describir la infección por el virus Epstein-Barr y el papel decisivo de las células NK y T CD8+ durante el control y eliminación de la infección. Además, se discuten brevemente los principales defectos genéticos que afectan a estas células y conllevan a la incapacidad para eliminar el virus. Finalmente, se resalta la necesidad de elaborar una vacuna efectiva contra el virus Epstein-Barr y cómo podrían evitarse los procesos neoplásicos y enfermedades autoinmunes.
More frequent among adults, phenocopies may be caused by somatic mutations or anti-cytokine autoantibodies, mimicking the phenotypes of primary immunodeficiencies. A fourteen-year-old girl was ...referred for a two-year history of weight loss and multiple recurrent abscesses, complicated recurrent pneumonia, pyelonephritis, osteomyelitis, and septic shock, without fever. She had started with nausea, hyporexia, and weight loss, then with abscesses in her hands, knee, ankle, and spleen. She also developed a rib fracture and left thoracic herpes zoster. The patient was cachectic, with normal vital signs, bilateral crackles on chest auscultation, tumefaction of the knee joint, and poorly healed wounds in hands and chest, oozing a yellowish fluid. Chest computed tomography revealed multiple bilateral bronchiectases. Laboratory workup reported chronic anemia, leukocytosis, neutrophilia, mild lymphopenia, thrombocytosis, pan-hypergammaglobulinemia, and elevated acute serum reactants. Lymphocyte subsets were low but present. Mycobacterium tuberculosis was detected via polymerase chain reaction in a bone biopsy specimen from ankle osteomyelitis. Whole-exome sequencing failed to identify a monogenic defect. Interleukin-12 was found markedly elevated in the serum of the patient. Phosphorylation of STAT4, induced by increasing doses of IL-12, was neutralized by patient serum, confirming the presence of anti-IL12 autoantibodies. IL-12 and IL-23 are crucial cytokines in the defense against intracellular microorganisms, the induction of interferon-gamma production by lymphocytes, and other inflammatory functions. Patients who develop neutralizing serum autoantibodies against IL12 manifest late in life with weight loss, multiple recurrent abscesses, poor wound healing, and fistulae. Treatment with anti-CD20 monoclonal antibodies was effective.
•A previously healthy 12-year-old girl developed weight loss, poor wound healing, and recurrent infections that included multiple abscesses, as well as septic shock caused by anti-cytokine autoantibodies.•There are very few patients described with autoantibodies against cytokines, most of them adults.•The patient had a spectacular improvement after treatment with rituximab and has not relapsed.•Patients who develop neutralizing serum autoantibodies against IL12 manifest late in life with weight loss, multiple recurrent abscesses, poor wound healing, and fistulae.•Suspecting and identifying patients with anti-cytokine autoantibodies at the onset of symptoms should alleviate disease and improve clinical outcomes.•IL-12 and IL-23 are crucial cytokines in the defense against intracellular microorganisms, the induction of interferon-gamma production by lymphocytes, and several other inflammatory functions.
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