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Naeem, F.

Publications and source records attributed to Naeem, F..

2 recordsLinked to original sources

Th17/regulatory T cells balance is predictive of Coccidioides infection outcome in pediatric patients

BackgroundProtective immunity against the fungal pathogen Coccidioides requires specific T helper responses. Mouse vaccine and infection studies have defined CD4+ T helper (Th)1 and Th17 cells in the resolution of infection and in effective protection. Patients with persistent Coccidioides infection demonstrate reduced cellular responses.\n\nMethodsPeripheral blood and serum were collected from 30 pediatric Coccidioides-infected patients and 20 healthy controls in the California San Joaquin Valley. Samples were evaluated by flow cytometry for innate and adaptive immune populations and cytokines to define the early immune response and identify clinically useful biomarkers for predicting disease outcome. Clinical and flow data were evaluated according to disease outcome (resolved or persistent) using principal component analysis, high-dimensional flow cytometry analysis tools, chi-square automatic interaction detection, and individual cell population comparisons.\n\nResultsPatients with persistent infection had lower Th17 and higher Treg frequencies, but similar Th1 responses, relative to patients that resolved disease. Treg frequency, eosinophil numbers and neutrophil numbers together distinguish patients that resolve infection from those that develop persistent infection.\n\nConclusionsThe inability to resolve Coccidioides infection may be a result of elevated Treg frequency and functional capacity, and Treg frequency may predict patient disease outcome at diagnosis. In our study, Th1 responses were similar in persistent and resolved infection, in contrast to prior human studies. Instead, our data suggest that Th17 cells provide an effective protection during Coccidioides infection, and that elevated Treg frequency inhibits protective immunity.

immunology

Mapping Autosomal Recessive Intellectual Disability: Combined Microarray and Exome Sequencing Identifies 26 Novel Candidate Genes in 192 Consanguineous Families

Approximately 1% of the global population is affected by intellectual disability (ID), and the majority receive no molecular diagnosis. Previous studies have indicated high levels of genetic heterogeneity, with estimates of more than 2500 autosomal ID genes, the majority of which are autosomal recessive (AR). Here, we combined microarray genotyping, homozygosity-by-descent (HBD) mapping, copy number variation (CNV) analysis, and whole exome sequencing (WES) to identify disease genes/mutations in 192 multiplex Pakistani and Iranian consanguineous families with non-syndromic ID. We identified definite or candidate mutations (or CNVs) in 51% of families in 72 different genes, including 26 not previously reported for ARID. The new ARID genes include nine with loss-of-function mutations (ABI2, MAPK8, MPDZ, PIDD1, SLAIN1, TBC1D23, TRAPPC6B, UBA7, and USP44), and missense mutations include the first reports of variants in BDNF or TET1 associated with ID. The genes identified also showed overlap with de novo gene sets for other neuropsychiatric disorders. Transcriptional studies showed prominent expression in the prenatal brain. The high yield of AR mutations for ID indicated that this approach has excellent clinical potential and should inform clinical diagnostics, including clinical whole exome and genome sequencing, for populations in which consanguinity is common. As with other AR disorders, the relevance will also apply to outbred populations.

genetics