National Research Institute of Tuberculosis and Lung Disease NRITLD

Darabad, Iran

National Research Institute of Tuberculosis and Lung Disease NRITLD

Darabad, Iran
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Goudarzi H.,Shahid Beheshti University of Medical Sciences | Mirsamadi E.S.,Shahid Beheshti University of Medical Sciences | Mirsamadi E.S.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Farnia P.,National Research Institute of Tuberculosis and Lung Disease NRITLD | And 4 more authors.
Iranian Journal of Microbiology | Year: 2010

Background and Objectives: Phospholipase of Mycobacterium tuberculosis plays an important role in pathogenesis through breaking up phospholipids and production of diacylglycerol. In this study, we examined the Beijing strains of Mycobacterium tuberculosis isolated from Iranian patients for the genes encoding this enzyme. Materials and Methods: DNA extraction was performed using CTAB (cetyltrimethylammonium bromide) from positive culture specimens in tuberculosis patients. PCR was then used to amplify the plcA, plcB, plcC genes of Beijing strain, and non-Beijing strains were identified by spoligotyping. Results: Of 200 specimens, 19 (9.5%) were Beijing strain and 181 (90.5%) were non-Beijing strains. The results of PCR for Beijing strains were as follows: 16 strains (84.2%) were positive for plcA, 17 (89.4%) were positive for plcB and 17 (89.4%) were positive for plcC genes. The standard strain (H37RV) was used as control. Conclusion: The majority of Beijing strains have phospholipase C genes which can contribute to their pathogenesis but we need complementary studies to confirm the role of phospholipase C in pathogenecity of Mycobacterium tuberculosis.


Farnia P.,Shahid Beheshti University of Medical Sciences | Farnia P.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Bandehpour M.,Shahid Beheshti University of Medical Sciences | Ghanavi J.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Kazemi B.,Shahid Beheshti University of Medical Sciences
International Journal of Clinical and Experimental Medicine | Year: 2013

Soluble form of vascular endothelial growth factor (VEGF) receptor (sFlt-1) has been considered a key target in anti angiogenesis strategies. In this study, sFlt-1 was amplified and cloned. For recombinant production of sFlt-1 protein, Chinese hamster ovary cell line (CHO) was used. The liposome-mediated transfection with sFlt-1 gene, were detected in sFlt-1 positive cells as early as 24 hours post-transfection. The production of sFlt-1 protein was confirmed using SDS-PAGE and immune blotting results. In present investigation, the recombinant protein of sFlt-1 had expressed with correct folding. The system is economically applicable for large production of sFlt protein and can be used as further therapeutic approaches in targeting the growth of solid tumor tissue.


Raoufy M.R.,Tarbiat Modares University | Hajizadeh S.,Tarbiat Modares University | Hajizadeh S.,Institute for Cognitive Science Studies ICSS | Gharibzadeh S.,Amirkabir University of Technology | And 4 more authors.
Respirology | Year: 2013

Background and objective: Respiratory inductive plethysmography is a non-invasive technique for measuring respiratory function. However, there are challenges associated with using linear methods for calibration of respiratory inductive plethysmography. In this study, we developed two nonlinear models, artificial neural network and adaptive neuro-fuzzy inference system, to estimate respiratory volume based on thoracoabdominal movements, and compared these models with routine linear approaches, including qualitative diagnostic calibration and multiple linear regression. Methods: Recordings of spirometry volume and respiratory inductive plethysmography were obtained for 10 normal subjects and 10 asthmatic patients, during asynchronous breathing for 7 min. The first 5 min of recording were used to develop the models; the remaining data were used for subsequent validation of the results. Results: The results from the nonlinear models fitted the spirometry volume curve significantly better than those obtained by linear methods, particularly during asynchrony (P < 0.05). On a breath-by-breath analysis, estimates of tidal volume, total cycle time and sigh values using the artificial neural network model were accurate by comparison with qualitative diagnostic calibration. In contrast to the artificial neural network model, there was a significant correlation between values for thoracoabdominal asynchrony and increased error of qualitative diagnostic calibration (P < 0.05). Conclusions: These results indicate that the nonlinear methods can be adapted to closely simulate variable conditions and used to study the patterns of volume changes during normal and asynchronous breathing. © 2012 The Authors. Respirology © 2012 Asian Pacific Society of Respirology.


Raoufy M.R.,Tarbiat Modares University | Raoufy M.R.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Eftekhari P.,Tarbiat Modares University | Eftekhari P.,National Research Institute of Tuberculosis and Lung Disease NRITLD | And 2 more authors.
Journal of Medical Systems | Year: 2011

Arterial blood gas (ABG) has an important role in the clinical assessment of patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Because of ABG complications, an alternative method is beneficial. We have trained and tested five artificial neural networks (ANNs) with venous blood gas (VBG) values (pH, PCO2, HCO3, PO2, and O2 saturation) as inputs, to predict ABG values in patients with AECOPD. Venous and arterial blood samples were collected from 132 patients. Using the data of 106 patients, the ANNs were trained and validated by back-propagation algorithm. Subsequently, data from the remainder 26 patients was used for testing the networks. The ability of ANNs to predict ABG values and to detect significant hypercarbia was assessed and the results were compared with a linear regression model. Our results indicate that the ANNs provide an accurate method for predicting ABG values from VBG values and detecting hypercarbia in AECOPD. © 2009 Springer Science+Business Media, LLC.


Obeidi N.,Bushehr University of Medical Sciences | Safavi E.,Bushehr University of Medical Sciences | Emami H.,National Research Institute of Tuberculosis and Lung Disease NRITLD
African Journal of Biotechnology | Year: 2012

The complete blood count (CBC) is one of the most common tests requested by physicians. The results of this test are affected by different factors such as temperature and time of incubation. Therefore, the aim of this study was to evaluate changes in CBC results at room temperature (RT). In a cross-sectional study, 32 K 2EDTA (dipotassium ethylenediamine-tetraacetate)-anticoagulated blood specimens were processed for CBC testing after blood-taking and incubation for 24 h at RT. Specimens were selected from routine laboratory workload. Among the CBC parameters, there were no significant differences in WBC, Plt and Hb results before and after incubation at RT (p>0.05). However, there were significant differences in RBC, Hct, MCV, MCH and MCHC results before and after incubation (p<0.001). The findings of this study showed that some CBC parameters can change after incubation at RT. Testing should therefore be done on blood samples as soon as possible. © 2012 Academic Journals.


Tahmasebi P.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Farnia P.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Sheikholslami F.M.,National Research Institute of Tuberculosis and Lung Disease NRITLD | Velayati A.A.,National Research Institute of Tuberculosis and Lung Disease NRITLD
Iranian Journal of Microbiology | Year: 2012

Background and Objectives: Resistance in Mycobacterium tuberculosis is caused by mutations in genes encoding drug targets. Investigators have already demonstrated the existence of mutations in codons 88 to 94 in the gyrA gene and also in codons 1400, 1401, and 1483 of rrs gene among extensively and extremely drug resistant tuberculosis (XDR & XXDR-TB) strains. The aim of this study was to identify the XDR and XXDR-TB stains based on their mutational analysis. Materials and Methods: Susceptibility testing against first and second-line anti-tuberculosis drugs was performed by the proportional method. Based on susceptibility results, samples were later analyzed, using PCR-SSCP and PCR-RFLP for detection of mutation in gyrA and rrs genes. Results: Overall, using proportional method, sixty-three strains (64.9%) were identified as MDR, 8(8.2%) as non-MDR and 26 strains (26.8%) were susceptible. Thirty-one cases (31.9%) were amikacin-resistant and 18 (18.5%) samples were ciprofloxacin-resistant. Using PCR-SSCP and PCR-RFLP, we identified 6(6.2%) and 7(7.2%) resistant strains, respectively. Discrepancy in strains was cross-checked by sequencing. The results showed no mutation in 66.6% and 77.4%of CIP and AMK- resistant strains. Conclusion: Rapid detection of drug-resistant Mycobacterium tuberculosis using molecular techniques could be effective in determining therapeutic regimen and preventing the spread of XDR and MDR TB in the community. We should still keep in mind that a high number of resistant strains may have no mutation in proposed candidate genes.

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