Mohammad Khalaj-Kondori

Dr. Mohammad Khalaj-Kondori


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Journal of Molecular Neuroscience
Verified
Journal Article
Closed access
PDF file
SFSeyedeh Nahid Fotuhi
Seyedeh Nahid Fotuhi
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
MFMohammad Ali Hoseinpour Feizi
Mohammad Ali Hoseinpour Feizi
MTMahnaz Talebi
Mahnaz Talebi

21 September 2022 in International Journal of Pharmaceutics
Verified
Journal Article
Closed access
BJBabak Jahangiri
Babak Jahangiri
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
EAElahe Asadollahi
Elahe Asadollahi
LDLeyli Purrafee Dizaj
Leyli Purrafee Dizaj
MSMajid Sadeghizadeh
Majid Sadeghizadeh

11 June 2018 in Journal of Cell Communication and Signaling
Verified
Journal Article
Closed access
PDF file
BJBabak Jahangiri
Babak Jahangiri
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
EAElahe Asadollahi
Elahe Asadollahi
MSMajid Sadeghizadeh
Majid Sadeghizadeh

9 May 2022
Verified
Journal Article
Open access
MKMajid Khodayi
Majid Khodayi
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
MFMohammad Ali Hoseinpour Feizi
Mohammad Ali Hoseinpour Feizi
MBMortaza Jabarpour Bonyadi
Mortaza Jabarpour Bonyadi
MTMahnaz Talebi
Mahnaz Talebi
Long non-coding RNAs (lncRNA) play critical roles in pathogenesis of neurodegenerative dis-eases. Human plasma carries lncRNAs that are stable in the blood, and their disease-specific profile have made them valuable biomarkers for some diseases. This study reports screening of the plasma levels of 90 lncRNAs in patients with Alzheimer disease (AD) to find out plasma-based AD biomarkers. Total RNA was isolated from plasma samples of 50 AD and 50 matched healthy controls. The plasma samples of 10 advanced AD patients and 10 matched healthy controls were screened for expression levels of 90 lncRNAs using Human LncRNA Profiler qPCR Array Kit (SBI). Based on the profiling results, lncRNAs BC200, NDM29, NEAT1, FAS-AS1 and GAS5-AS1 were selected for further analysis in all samples and their biomarker potency was evaluated by ROC curve analysis. We further surveyed RNAseq data by in silico analysis. We found that the NEAT1 and BC200 levels in the plasma of the AD patients were significantly higher compared with the control group (P=0.0021, p= 0.02, respectively). ROC curve analysis showed that the plasma level of NEAT1 and BC200 discriminated AD patients from healthy controls with sensitivity of 72 % and 60 %, and specificity of 84 % and 91 % respectively. Moreover, NEAT1 discriminated MCI (60 % sensitivity and 91 % specificity) and advanced-AD patients from healthy controls (73 % sensitivity and 71 % specificity). Besides, plasma level of BC200 discriminated the pre-clinical subjects from healthy controls with 83 % sensitivity and 66 % specificity. A positive correlation was also observed between plasma levels of BC200 with the age patients (r = 0.34, p=0.02). In silico RNAseq data analysis showed that a total of 33 lncRNAs were up-regulated but 13 lncRNAs were down-regulated signifi-cantly in AD patients compared with the healthy controls. In conclusion, this study elucidated that the plasma levels of lncRNAs NEAT1 and BC200 might be considered as potential blood-based biomarkers for AD development and progression.

10 February 2022 in Phytotherapy Research
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Journal Article
Closed access
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MKMina Khajehdehi
Mina Khajehdehi
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
Behzad BaradaranBehzad Baradaran
Behzad Baradaran

1 December 2020 in Computational Biology and Chemistry
Verified
Journal Article
Closed access
TGTayyebeh Ghasemi
Tayyebeh Ghasemi
MKMohammad Khalaj-Kondori
Mohammad Khalaj-Kondori
MFMohammad Ali Hosseinpour Feizi
Mohammad Ali Hosseinpour Feizi
PAParviz Asadi
Parviz Asadi