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Showing 2 results for Nadali

Nadali F, Ferdowsi Sh, Karimzadeh P, Chahardouli B, Einollahi N, Mousavi A, Bahar B, Dargahi H, Toogeh Ghr, Alimoghaddam K, Ghavamzadeh A, Ghaffari Sh,
Volume 68, Issue 4 (6 2010)
Abstract

Background: JAK2 is a nonreceptor tyrosine kinase that plays a major role in myeloid disorders. This mutation is characterized by a G to T transverse at nucleotide 1849 in exon 12 of the JAK2 gene, located on the chromosome 9p, leading to a substitution of valine to phenylalanine at amino acid position 617 in the JAK2 protein. In this study we compared the amplification refractory mutation (ARMS) assay and allele- specific (AS- PCR) to evaluate JAK2V617F mutation patients with non-CML myeloproliferative neoplasms (MPNS). Methods: In this experimental study we evaluated JAK2 mutation in 58 patients with a known or suspected diagnosis of a myeloproliferative neoplasm by simple randomized sampling. The mutation was detected by ARMS-PCR and AS-PCR in patients. In order to verify the methods, amplified products from some patients were sequenced. Results: The JAK2 V617F mutation was detected in 86.6%(26/30) of patients with polycythemia vera and 61.5%(8/13) of patients with idiopathic myelofibrosis by ARMS-PCR and AS-PCR. 46.6%(7.15) of essential thrombocythemia patients were positive using ARMS- PCR method while 53%(8.15) of then were positive when AS- PCR were used. The mutation was confirmed by sequencing. Conclusions: The incidence of JAK2 mutation using above PCR methods is similar to previous studies. The different results may depend on the molecular technique used
Ali Maleki , Mehrdad Payandeh , Fatemeh Nadali ,
Volume 73, Issue 9 (December 2015)
Abstract

Background: Presently, the graphical data of blood cells (histograms and cytograms or/ scattergrams) that they are usually available in all modern automated hematology analyzers are an integral a part of automated complete blood count (CBC). To find incorrect results from automated hematology analyzer and establish the samples that require additional analysis, Laboratory employees will use those data for quality control of obtaining results, to assist identification of complex and troublesome cases.

Methods: During this descriptive analytic study, in addition to erythrocyte graphs from variety of patients, referring from March 2013 to Feb 2014 to our clinical laboratory, Zagros Hospital, Kermanshah, Iran, are given, the papers published in relevant literature as well as available published manuals of automatic blood cell counters were used. articles related to the key words of erythrocyte graphs and relevant literature as well as available published manuals of automatic blood cell counters were searched from valid databases such as Springer Link, google scholar, Pubmed and Sciencedirect. Then, the articles related to erythrogram, erythrocyte histogram and hematology analyzer graphs are involved in diagnosis of hematological disorder were searched and selected for this study.

Results: Histograms and different automated CBC parameter become abnormal in various pathologic conditions, and can present important clues for diagnosis and treatment of hematologic and non-hematologic disorders. In several instances, these histograms have characteristic appearances in an exceedingly wide range of pathological conditions. In some hematologic disorders like iron deficiency or megaloblastic anemia, a sequential histogram can clearly show the progressive treatment and management.

Conclusion: These graphical data are often accompanied by other automated CBC parameter and microscopic examination of peripheral blood smears (PBS), and can help in monitoring and interpretation of abnormal morphological changes. In the diagnosis and monitoring of anemias, analysis of histograms could also be considered as a new parameter in the combine with red blood cell indices. Histograms ought to use as a screening tool, and not considered diagnostic for pathological conditions.



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