Inborn Errors of Immunity underlying a susceptibility to pyogenic infections: from innate immune system deficiency to complex phenotypes

Human genetic errors of immunity illuminate an adaptive arsenal model of rapid defenses

New discoveries in the field of human monogenic immune diseases highlight critical genes and pathways governing immune responses. Here, I describe how the ~500 currently defined human inborn errors of immunity help shape what I propose is an 'adaptive arsenal model of rapid defenses', emphasizing the set of immunological defenses poised for rapid responses in the natural environment. This arsenal blurs the lines between innate and adaptive immunity and is established through molecular relays between cell types, often traversing from sensors (pathogen detection) to intermediates to executioners (pathogen clearance) via soluble factors. Predictions and missing information based on the adaptive arsenal model are discussed, as are emergent and outstanding questions fundamental to advances in the field.

Genetic Diseases and Invasive Infections in Infants 100 Days or Younger

BACKGROUND

Understanding the association of genetic diseases with invasive infections in neonates or infants is important, given the clinical and public health implications of genetic diseases.

METHODS

We conducted a retrospective case-control study over a 5-year period to investigate the association between genetic diseases and invasive infections in neonates or infants. The case group included 56 patients with laboratory-confirmed invasive infections and a genetic etiology identified by exome sequencing. Another 155 patients without a genetic etiology were selected as controls from the same pool of patients.

RESULTS

An overview of genetic diseases that predispose patients to develop invasive infections were outlined. We identified 7 independent predictors for genetic conditions, including prenatal findings [adjusted odds ratio (aOR), 38.44; 95% confidence interval (CI): 3.94-374.92], neonatal intensive care unit admission (aOR, 46.87; 95% CI: 6.30-348.93), invasive ventilation (aOR, 6.66; 95% CI: 3.07-14.46), bacterial infections (aOR, 0.21; 95% CI: 0.06-0.69), fever (aOR, 0.15; 95% CI: 0.08-0.30), anemia (aOR, 6.64; 95% CI: 3.02-14.59) and neutrophilia (aOR, 0.98; 95% CI: 0.96-0.99). The area under the curve for the predictive model was 0.921 (95% CI: 0.876-0.954). We also found that a genetic etiology [hazard ratio (HR), 7.25; 95% CI: 1.71-30.81], neurological manifestations (HR, 3.56; 95% CI: 1.29-9.88) and septic shock (HR, 13.83; 95% CI: 3.18-60.10) were associated with severe outcomes.

CONCLUSIONS

Our study established predictive variables and risk factors for an underlying genetic etiology and its mortality in neonates or infants with invasive infections. These findings could lead to risk-directed screening and treatment strategies, which may improve patient outcomes.