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Biomedical subjects

Javad Beheshti

Publications and source records attributed to Javad Beheshti.

3 recordsLinked to original sources

Mustard lung secrets: long term clinicopathological study following mustard gas exposure.

Considering the undefinite nature of lung pathology in patients exposed to sulfur mustard (SM) many years after exposure, we conducted this study to document and quantify lung disease in this setting. In a cross sectional study, we selected 23 patients exposed to SM gas approximately 14 years ago during the Iran-Iraq war (1980-1988). We studied their clinical history, physical examination, pulmonary function test (PFT), high-resolution computed tomography scan (HRCT) of the chest, bronchoscopy, and bronchoalveolar lavage (BAL) sampling, and transbronchial lung biopsies. Other potential causes of lung disease, including smoking of cigarettes, were excluded. All 23 patients were symptomatic with cough, dyspnea, and/or felt tight in the chest. All of them had significant air trapping in HRCT and a marked increase of residual volume in PFT. The most common inflammatory cell in BAL fluid was neutrophil (88%). Of the 23 cases, there was sufficient tissue for detailed evaluation in 22. Histologically, 11 cases showed airway epithelial injury, and nine of the 14 lung biopsies with alveoli had histopathological changes diagnosable as organizing pneumonia (OP) or bronchiolitis obliterans OP (BOOP). Two out of 14 cases showed changes suggestive of OP. Inhalation of SM can lead to persistant and clinically significant lung disease, including bronchial mucosal injury and OP, many years after exposure.

Adult↗

Homozygous deletions and chromosome amplifications in human lung carcinomas revealed by single nucleotide polymorphism array analysis.

Genome-wide copy number changes were analyzed in 70 primary human lung carcinoma specimens and 31 cell lines derived from human lung carcinomas, with high-density arrays representing approximately 115,000 single nucleotide polymorphism loci. In addition to previously characterized loci, two regions of homozygous deletion were found, one near the PTPRD locus on chromosome segment 9p23 in four samples representing both small cell lung carcinoma (SCLC) and non-small cell lung carcinoma (NSCLC) and the second on chromosome segment 3q25 in one sample each of NSCLC and SCLC. High-level amplifications were identified within chromosome segment 8q12-13 in two SCLC specimens, 12p11 in two NSCLC specimens and 22q11 in four NSCLC specimens. Systematic copy number analysis of tyrosine kinase genes identified high-level amplification of EGFR in three NSCLC specimens, FGFR1 in two specimens and ERBB2 and MET in one specimen each. EGFR amplification was shown to be independent of kinase domain mutational status.

Carcinoma, Non-Small-Cell Lung↗

Pathogen discovery from human tissue by sequence-based computational subtraction.

We have recently reported a new pathogen discovery approach, "computational subtraction". With this approach, non-human transcripts are detected by sequencing cDNA libraries from infected tissue and eliminating those transcripts that match the human genome. We show now that this method is experimentally feasible. We generated a cDNA library from a tissue sample of post-transplant lymphoproliferative disorder (PTLD). 27,840 independent cDNA sequences were filtered by computational subtraction against the known human sequence to identify 32 nonmatching transcripts. Of these, 22 (0.1%) were found to be amplifiable from both infected and noninfected samples and were inferred to be human DNA not yet contained in the available human genome sequence. The remaining 10 sequences could be amplified only from Epstein-Barr virus (EBV)-infected tissues. All 10 corresponded to the known EBV sequence. This proof-of-principle experiment demonstrates that computational subtraction can detect pathogenic microbes in primary human-diseased tissue.

DNA, Complementary↗