29 results on '"Maleknia, M."'
Search Results
2. A new method based on the bundle idea and gradient sampling technique for minimizing nonsmooth convex functions
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Maleknia, M. and Shamsi, M.
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Mathematics - Optimization and Control - Abstract
In this paper, we combine the positive aspects of the Gradient Sampling (GS) and bundle methods, as the most efficient methods in nonsmooth optimization, to develop a robust method for solving unconstrained nonsmooth convex optimization problems. The main aim of the proposed method is to take advantage of both GS and bundle methods, meanwhile avoiding their drawbacks. At each iteration of this method, to find an efficient descent direction, the GS technique is utilized for constructing a local polyhedral model for the objective function. If necessary, via an iterative improvement process, this initial polyhedral model is improved by some techniques inspired by the bundle and GS methods. The convergence of the method is studied, which reveals the following positive features (i) The convergence of our method is independent of the number of gradient evaluations required to establish and improve the initial polyhedral models. Thus, the presented method needs much fewer gradient evaluations in comparison to the original GS method. (ii) As opposed to GS type methods, the objective function need not be continuously differentiable on a full measure open set in $\mathbb R^n$ to ensure the convergence for the class of convex problems. Apart from the mentioned advantages, by means of numerical simulations, we show that the presented method provides promising results in comparison with GS methods, especially for large scale problems. Moreover, in contrast with bundle methods, our method is not very sensitive to the accuracy of supplied gradients.
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- 2019
3. A Gradient Sampling method based on Ideal direction for solving nonsmooth nonconvex optimization problems: convergence analysis and numerical experiments
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Maleknia, M. and Shamsi, M.
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Mathematics - Optimization and Control - Abstract
In this paper, a modification to the Gradient Sampling (GS) method for minimizing nonsmooth nonconvex functions is presented. One drawback in GS method is the need of solving a Quadratic optimization Problem (QP) at each iteration, which is time-consuming especially for large scale objectives. To resolve this difficulty, we propose a new descent direction, namely Ideal direction, for which there is no need to consider any quadratic or linear optimization subproblem. It is shown that, this direction satisfies Armijo step size condition and can be used to make a substantial reduction in the objective function. Furthermore, we prove that using Ideal directions preserves the global convergence of the GS method. Moreover, under some moderate assumptions, we present an upper bound for the number of serious iterations. Using this upper bound, we develop a different strategy to study the convergence of the method. We also demonstrate the efficiency of the proposed method using small, medium and large scale problems in our numerical experiments.
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- 2019
4. A new method based on the proximal bundle idea and gradient sampling technique for minimizing nonsmooth convex functions
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Maleknia, M. and Shamsi, M.
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- 2020
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5. Effect of curcumin on gene expression and protein level of methionine sulfoxide reductase A (MSRA), SOD, CAT and GPx in Freund’s adjuvant inflammation-induced male rats
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Meshkibaf MH, Maleknia M, and Noroozi S
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curcumin- anti-inflammation- MSRA ,Pathology ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
MH Meshkibaf, M Maleknia, S Noroozi Department of Clinical Biochemistry, Fasa University of Medical Sciences, Fasa, IranCorrespondence: M MalekniaDepartment of Clinical Biochemistry, Fasa University of Medical Sciences, Fasa, IranTel +98 933 437 7956Email maleknia.m2014@gmail.comObjective: Curcumin is the well-known compound which is extracted from turmeric powder, the dried rhizome of the Curcuma longa Linn. This have been used for the treatment of various disorders including inflammation. In this study we have analyzed the effect of curcumin on arthritis induced by adjuvant in rats, considering changes in methionine sulfoxide reductase A (MSRA) expression and antioxidant enzymes levels.Methods: Five groups of adult male Wistar rats (n=10), were randomly selected as control, placebo, experimental 1, 2 and 3. The induction of arthritis was carried out by injection of 0.1 ml adjuvant in plantar region. The first experimental group received no curcumin treatment, whereas the experimental two and three received curcumin (1 and 2 g/kg daily) respectively, for fourteen days. MSRA gene expression was assessed by real-time PCR and protein levels of MSRA, SOD, CAT and GPx were analyzed via ELISA method.Results: The results showed no significant weight changes among the groups during the experimental period and the paw swelling caused by adjuvant was recovered within fourteen days of treatment with curcumin. However, the levels of enzymes such as superoxide dismutase, catalase and glutathione peroxidase were increased by a dose dependent manner. These results also illustrated that the gene expression and protein level of MSRA in groups treated with curcumin increased significantly (p≤0.05).Conclusion: We concluded that the curcumin can be used against inflammation. The increasing level of MSRA can be due to the antioxidant effect of curcumin. The enzymatic level changes (MSRA, SOD, CAT and GPx) may interfere with the aging process and delay it.Keywords: curcumin, anti-inflammation, MSRA
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- 2019
6. Immunomodulation in leukemia: cellular aspects of anti-leukemic properties
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Maleknia, M., Valizadeh, A., Pezeshki, S. M. S., and Saki, N.
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- 2020
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7. Multi-Modality Machine Learning Predicting Parkinson’s Disease
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Elizabeth Hutchins, Cornelis Blauwendraat, Maleknia M, Ivo Violich, Hirotaka Iwaki, Roy H. Campbell, David Saffo, Lana Sargent, John Hardy, Mary B. Makarious, Jonggeol Jeff Kim, Juan A. Botía, Huw R. Morris, Matt Bookman, Sara Bandres-Ciga, Nojopranoto W, David Craig, Sayed Hadi Hashemi, Kendall Van Keuren-Jensen, Leonard H, Faraz Faghri, Carter Jf, Mike A. Nalls, Song Y, Anant Dadu, Daniel Vitale, and AB Singleton
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Artificial neural network ,business.industry ,Computer science ,Context (language use) ,Machine learning ,computer.software_genre ,Data type ,Biomarker (cell) ,Workflow ,Artificial intelligence ,Personalized medicine ,Medical diagnosis ,Risk assessment ,business ,computer - Abstract
SUMMARYBackgroundPersonalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multi-modal data is key moving forward. We build upon previous work to deliver multi-modal predictions of Parkinson’s Disease (PD).MethodsWe performed automated ML on multi-modal data from the Parkinson’s Progression Marker Initiative (PPMI). After selecting the best performing algorithm, all PPMI data was used to tune the selected model. The model was validated in the Parkinson’s Disease Biomarker Program (PDBP) dataset. Finally, networks were built to identify gene communities specific to PD.FindingsOur initial model showed an area under the curve (AUC) of 89.72% for the diagnosis of PD. The tuned model was then tested for validation on external data (PDBP, AUC 85.03%). Optimizing thresholds for classification, increased the diagnosis prediction accuracy (balanced accuracy) and other metrics. Combining data modalities outperforms the single biomarker paradigm. UPSIT was the largest contributing predictor for the classification of PD. The transcriptomic data was used to construct a network of disease-relevant transcripts.InterpretationWe have built a model using an automated ML pipeline to make improved multi-omic predictions of PD. The model developed improves disease risk prediction, a critical step for better assessment of PD risk. We constructed gene expression networks for the next generation of genomics-derived interventions. Our automated ML approach allows complex predictive models to be reproducible and accessible to the community.FundingNational Institute on Aging, National Institute of Neurological Disorders and Stroke, the Michael J. Fox Foundation, and the Global Parkinson’s Genetics Program.RESEARCH IN CONTEXTEvidence before this studyPrior research into predictors of Parkinson’s disease (PD) has either used basic statistical methods to make predictions across data modalities, or they have focused on a single data type or biomarker model. We have done this using an open-source automated machine learning (ML) framework on extensive multi-modal data, which we believe yields robust and reproducible results. We consider this the first true multi-modality ML study of PD risk classification.Added value of this studyWe used a variety of linear, non-linear, kernel, neural networks, and ensemble ML algorithms to generate an accurate classification of both cases and controls in independent datasets using data that is not involved in PD diagnosis itself at study recruitment. The model built in this paper significantly improves upon our previous models that used the entire training dataset in previous work1. Building on this earlier work, we showed that the PD diagnosis can be refined using improved algorithmic classification tools that may yield potential biological insights. We have taken careful consideration to develop and validate this model using public controlled-access datasets and an open-source ML framework to allow for reproducible and transparent results.Implications of all available evidenceTraining, validating, and tuning a diagnostic algorithm for PD will allow us to augment clinical diagnoses or risk assessments with less need for complex and expensive exams. Going forward, these models can be built on remote or asynchronously collected data which may be important in a growing telemedicine paradigm. More refined diagnostics will also increase clinical trial efficiency by potentially refining phenotyping and predicting onset, allowing providers to identify potential cases earlier. Early detection could lead to improved treatment response and higher efficacy. Finally, as part of our workflow, we built new networks representing communities of genes correlated in PD cases in a hypothesis-free manner, showing how new and existing genes may be connected and highlighting therapeutic opportunities.
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- 2021
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8. Immunomodulation in leukemia: cellular aspects of anti-leukemic properties
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Maleknia, M., primary, Valizadeh, A., additional, Pezeshki, S. M. S., additional, and Saki, N., additional
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- 2019
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9. Epidemiological study on some environmental and management parameters affecting on WSD occurrence in Fenneropenaeus indicus and Penaeus vannamei
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Sharifpour, Issa, Mehrabi, M.R., Matinfar, A., Abdi, K., Ghajari, A., Seyed Mortezaei, S.R., Ahangarzadeh, M., Sanjari, M., Jorfi, E., Mohseni Nejhad, L., Soleimani, J., Yavari, H., Ghaednia, B., Keshtkar, I., Nezari, M.A., Liaghat, M., Samirooni, M., Saidi, A., Noroozi, Z., Rahimi Ghare Mirshamloo, Gh., Naseri, F., Mahmood Alavi, R., Azad, F., Maleknia, M., Nateghi, M., Mirbakhsh, M., Kakoolaki, S., Omidi, S., Noorinejhad, M., Mohammadi doost, M., Soori, M., Hajeb Nejhad, K., Rohani Nejhad, S., Moshak, M., Jokar, K., Akbarzadeh, Gh.A., Kamali, I., Khajenoori, K., Sadeghi, M.R., Daghooghi, B., Gharibnia, M., Asadi, H., Rashki, A., Amini Rad, T., Mansoori, S.M., Kianersi, F., Shomali, M., Amiri, J., Rezaei, H., Katook, Sh., Ebrahimi, M., and Mohammadian, A.
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Salinity ,Epidemiological study ,Nitrogen ,pH ,Penaeus vannamei ,Temperature ,Chemical ,Fenneropenaeus indicus ,Transparency ,Polymerase Chain Reaction ,Environmental ,White Spot Disease ,Shrimp ,Dissolved oxygen ,PCR ,Ammonia ,Physical ,WSD - Abstract
For the first time white spot disease (WSD) was reported in shrimp farms of khoozestan province, in southwest of IRAN in 2002. Then in 2005 the neighbor province, boushehr, was contaminated. In 2008 WSD outbreak reported in sistan-bloochestan province in southeast of Iran. In 2015 all of southern shrimp farms of country except Hormozgan, the middle southern province, which has remained free of WSD, are being contaminated. White Spot disease suspended shrimp culture in thousands hectares of shrimp farms. Considering that white spot disease has not been observed in Hormozgan province yet, the question is; to what extent environmental and management factors participated in preventing WSD outbreak or cause WSD outbreak. In this study (20102012), the effects of environmental factors and management, stressors that decrease immune system function of shrimp are discussed. In addition, the role of pathogen as the main factor of outbreak is discussed. The goal of this study is to define environmental parameters and management practices associates with outbreak of white spot disease in affected provinces and discover reasons of being Hormozgan province free of this disease. In this study the role of the local environmental factors and management practice stressors in susceptibility to WSD was determine. Both the effects of environmental factors in water of ponds including total ammonia, nitrogen, dissolved oxygen, pH, salinity, transparency, and temperature and management issues related to biosecurity are studied. There were overlaps on physical and chemical parameter values obtained in clear areas with contaminated areas .Results of the data analysis suggest that lack of association with WSD incidence was 7 times greater than WSD incidence despite of disease outbreak in sistan-bloochestan province, so other sources of white spot disease virus incidence was suspected in affected areas. Histopathological examinations and polymerase chain reaction (PCR) tests during project performance did not reveal white spot disease virus evidences in post larvae examined from khoozestan province stocked in farms but disease outbreak was happened in that farms , so we suspected to management practice include feed , pond preparation and carrier of disease . Recorded values of temperature and salinity in some months during inspection in Hormozgan province specified stressful condition that may lead to WSD outbreak, however the disease did not appear. Therefore the hypothesis that the water physical and chemical conditions are reasons to prevent disease outbreak in Hormozgan province is being rejected. The policy of Hormozgan’s fishery authorities, to replaced Fenneropenaeus indicus with specific pathogen free Litopenaeus vannamei, that is more resistant to some of diseases, before incidence of WSD in farms and to before being endemic in the Hormozgan province, made an advantage compare to affected southern provinces that introduced Litopenaeus vannamei after WSD prevalence to their farms. However it does not guarantee to maintain current trend of being Hormozgan province farms free of white spot disease. Therefore establishing the principals of biosecurity are strongly emphasized. Strategies taken by the proficient authorities in preparation of SPF shrimp broodstock can be the most important factor in preventing WSD. Regarding biosecurity principals purchased feed must be free of shrimp head powder. Construction the new shrimp farms should be as far as it could be away from contaminated areas. Iranian Fisheries Science Research Institute Published
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- 2016
10. A Subgradient Method for Unconstrained Nonconvex Nonsmooth Optimization.
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Maleknia, M.
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NONCONVEX programming , *NONSMOOTH optimization , *SUBGRADIENT methods , *ITERATIVE methods (Mathematics) , *STOCHASTIC convergence - Abstract
We propose an iterative method that solves an unconstrained nonconvex nonsmooth optimization problem. The proposed method is a descent method that uses subgradients at each iteration and contains very simple procedures for finding descent directions and for solving line search subproblems. The convergence of the algorithms is studied. [ABSTRACT FROM AUTHOR]
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- 2017
11. In-silico molecular docking study of coumarin derivatives in order to investigate the inhibitory effects of human monoamine oxidase enzyme and DFT studies
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Asadi, M., Sedaghat, M., Pour, Z. S., Amani, A. M., Ahmad Movahedpour, Vakili, S., Shefaghat, M., Maleknia, M., and Noroozi, S.
12. α- et β-globines libres et biosynthese de l'hemoglobine
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Blum, N., primary, Maleknia, M., additional, and Schapira, G., additional
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- 1970
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13. Exploring the Genetic Landscape of Mycobacterium tuberculosis: Unlocking the Differences in Between Latent and Active Tuberculosis.
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Velayati AA, Mitaria S, Farnia P, Farnia P, Ghanavi J, Maleknia M, Murase Y, and Hoffner S
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- Humans, Bacterial Proteins genetics, Whole Genome Sequencing, Tuberculosis microbiology, Antitubercular Agents pharmacology, Mutation, Microbial Sensitivity Tests, Frameshift Mutation, Genome, Bacterial, Mycobacterium bovis genetics, Mycobacterium tuberculosis genetics, Mycobacterium tuberculosis drug effects, Latent Tuberculosis microbiology
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Background: Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), can enter a dormant phase within host tissues, complicating treatment and highlighting the need to investigate the genetic changes associated with dormancy., Methods: This study examined clinical isolates of MTB, representing a range of susceptibility profiles and standard reference laboratory strains, i.e., H37Rv and Mycobacterium bovis bacillus Calmette-Guérin. Each strain was subcultured in a controlled laboratory environment to analyze two distinct phases: one maintained in vitro under a double-stress dormancy model using the Wayne model (characterized by the absence of oxygen and nutrients) for 12 months, and the other examined during its exponential growth phase. Whole-genome sequencing and protein structure analysis using bioinformatics tools were performed to characterize and compare mutations in isolates at each phase., Results: Three distinct frameshift mutations were identified in the fbiC, PPE35, and ald genes, and one upstream mutation in whiB6 genes in all studied isolates under dormancy, irrespective of their susceptibility patterns (P < 0.01). Among drug-resistant strains, at the exponential phase isolated from patients with prolonged treatment, 5%-7% had PPE35, ald mutations, whereas 95% had the whiB6 mutation, suggesting that adaptive stress responses may be triggered under in vivo conditions., Conclusions: The newly identified frameshift mutations (fbiC, PPE35, and ald genes), consistently found in both laboratory and clinical isolates, seem to play a critical role in the survival of MTB during dormancy. Based on these findings, designing a molecular test to differentiate between active and latent TB possibly enables timely prophylactic interventions., (Copyright © 2024 International Journal of Mycobacteriology.)
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- 2024
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14. Adaptive Mechanisms of Mycobacterium tuberculosis: Role of fbiC Mutations in Dormancy and Survival.
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Farnia P, Maleknia M, Farnia P, and Ghanavi J
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- Humans, Adaptation, Physiological genetics, Tuberculosis microbiology, Gene Expression Regulation, Bacterial, Drug Resistance, Bacterial genetics, Mycobacterium tuberculosis genetics, Mycobacterium tuberculosis physiology, Mutation, Bacterial Proteins genetics, Bacterial Proteins metabolism
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This review examines the impact of F420 biosynthesis protein C (fbiC) mutations in Mycobacterium tuberculosis (Mtb) and their influence on the bacterium's dormancy mechanisms. The potential role of fbiC mutations and functional impairments in the persistence of Mtb is emphasized. Tuberculosis (TB) bacilli can enter a dormant state with minimal metabolic activity, allowing them to conserve resources and survive in low-nutrient, low-oxygen environments for extended periods. While the fbiC gene contributes to dormancy, Mtb can achieve this state through multiple genetic and metabolic pathways, suggesting that it may still undergo dormancy even with functional impairments in fbiC. In this review, we utilized several scientific databases, including PubMed, Web of Science, and Google Scholar, and set of key search terms including "fbiC gene," "F420 Biosynthesis," "Mycobacterium tuberculosis," "Dormancy," and "Drug Resistance" to highlight the significance of the fbiC gene in regulating dormancy and explore how Mtb compensates for fbiC dysfunction through various metabolic adaptations., (Copyright © 2024 International Journal of Mycobacteriology.)
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- 2024
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15. Evaluation of the hematological inflammatory parameters in the patients with immune thrombocytopenic purpura: A case-control study.
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Ahmadi MH, Maleknia M, Khoshbakht R, and Rezaeeyan H
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Background and Aims: Inflammation is one of the immune thrombocytopenic purpura (ITP)'s aggravating elements due to inflammatory cells' function. This study aims to identify and evaluate hematological inflammatory parameters, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and hemoglobin-to-platelet ratio (HPR), in patients with ITP compared to the control group., Methods: We retrospectively analyzed the profile of 190 ITP patients from August 2019 to January 2021 at Imam Reza Hospital of Mashhad, Iran, along with 100 healthy individuals who had no ITP-related clinical or laboratory symptoms. Immune cell counts, NLR, PLR, and HPR were calculated using the complete blood count at the time of diagnosis and after the treatment. The results were analyzed through MedCalc, SPSS software, and the receiver operating characteristic curve., Results: The result showed that white blood cell (WBC) and neutrophil counts were higher in ITP patients (WBC: p : 0.001, neutrophil: p : 0.001), and conversely, platelet and lymphocyte counts were higher in the control group compared to ITP patients (platelets: p : 0.001, lymphocytes: p : 0.001). The indices analysis between the two groups revealed that NLR was significantly increased in ITP patients ( p : 0.001), but PLR was significantly reduced in ITP patients (with the mean platelet count of 23.44 ± 35.26 × 10
9 /L) compared to the control group (with the mean platelet count of 234.04 ± 55.88 × 109 /L). The HPR index also significantly increased in ITP patients ( p : 0.001)., Conclusion: An increase in NLR, PLR, and a decrease in HPR can be considered a valuable diagnostic algorithm in patients with ITP., Competing Interests: The authors declare no conflict of interest., (© 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.)- Published
- 2024
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16. DNA Methylation in Cancer: Epigenetic View of Dietary and Lifestyle Factors.
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Maleknia M, Ahmadirad N, Golab F, Katebi Y, and Haj Mohamad Ebrahim Ketabforoush A
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Background: Alterations in DNA methylation play an important role in cancer development and progression. Dietary nutrients and lifestyle behaviors can influence DNA methylation patterns and thereby modulate cancer risk., Introduction: To comprehensively review available evidence on how dietary and lifestyle factors impact DNA methylation and contribute to carcinogenesis through epigenetic mechanisms., Materials and Methods: A literature search was conducted using PubMed to identify relevant studies published between 2005 and 2022 that examined relationships between dietary/lifestyle factors and DNA methylation in cancer. Studies investigating the effects of dietary components (eg, micronutrients, phytochemicals), physical activity, smoking, and obesity on global and gene-specific DNA methylation changes in animal and human cancer models were included. Data on specific dietary/lifestyle exposures, cancer types, DNA methylation targets and underlying mechanisms were extracted., Results: Multiple dietary and lifestyle factors were found to influence DNA methylation patterns through effects on DNA methyltransferase activity, methyl donor availability, and generation of oxidative stress. Altered methylation of specific genes regulating cell proliferation, apoptosis, and inflammation were linked to cancer development and progression., Conclusion: Dietary and lifestyle interventions aimed at modulating DNA methylation have potential for both cancer prevention and treatment through epigenetic mechanisms. Further research is needed to identify actionable targets for nutrition and lifestyle-based epigenetic therapies., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)
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- 2023
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17. Evaluation of Genes and Molecular Pathways Involved in the Progression of Monoclonal Gammopathy of Undetermined Significance (MGUS) to Multiple Myeloma: A Systems Biology Approach.
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Khalili P, Maddah R, Maleknia M, Shateri Amiri B, Forouzani F, Hasanvand A, and Rezaeeyan H
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- Humans, Systems Biology, Gene Expression Profiling, Computational Biology, Multiple Myeloma genetics, Monoclonal Gammopathy of Undetermined Significance genetics
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Today, Monoclonal Gammopathy of Undetermined Significance (MGUS) is known as a plasma cell malignancy susceptible to evolving into the life-threatening stage, multiple myeloma (MM), without prominent clinical manifestations. Despite the discovery of advanced therapies and multiple pathogenic markers, the complexity of MM development has made it an incurable malignancy. In this study, the microarray dataset was downloaded from the Gene Expression Omnibus (GEO) database and analyzed using the LIMMA package of R-software to determine differentially expressed genes (DEGs) in MGUS and MM compared to the control samples. Enrichment analysis of DEGs was evaluated using the GeneCodis4 software. Protein-protein interaction (PPI) networks were constructed via the GeneMANIA database, and Cytoscape visualized them. The Molecular Complex Detection (MCODE) plugin from Cytoscape was used to identify the key modules from the PPI network. Afterward, the hub genes were recognized using the cytoHubba plug-in in Cytoscape. Eventually, the correlation between hub-DEGs and MM-specific survival was evaluated via the PrognoScan database. A total of 138 (MM-normal) and 136 (MGUS-normal) DEGs were obtained from the datasets, and 62 common DEGs between MGUS and MM diseases (26 up-regulated and 36 down-regulated genes) were screened out for subsequent analyses. Following enrichment analyses and the PPI network's evaluation, FOS, FOSB, JUN, MAFF, and PPP1R15A involved in the progression of MGUS to MM were detected as the hub genes. The survival analysis revealed that FOS, FOSB, and JUN among hub genes were significantly associated with disease-specific survival (DSS) in MM. Identifying the genes involved in the progression of MGUS to MM can help in the design of preventive strategies as well as the treatment of patients. In addition, their evaluation can be effective in the survival of patients., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2023
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18. Bioinformatics analysis of microarray data to identify hub genes, as diagnostic biomarker of HELLP syndrome: System biology approach.
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Asadikalameh Z, Maddah R, Maleknia M, Nassaj ZS, Ali NS, Azizi S, and Dastyar F
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- Biomarkers metabolism, Computational Biology, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Gene Ontology, Gene Regulatory Networks, Humans, Matrix Metalloproteinase 9 metabolism, Protein Interaction Maps genetics, HELLP Syndrome diagnosis, HELLP Syndrome genetics, MicroRNAs metabolism
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Background: HELLP syndrome is one of the disorders characterized by hemolysis, increased liver enzymes and decreased platelet count. So far, many molecular pathways and genes have been identified in relation to the pathogenesis of this syndrome; however, the main cause of the incidence and progression of the disease has not been identified. Using the biological system approach is a way to target patients by identifying genes and molecular pathways. In this study, we investigated genes and important molecular factors in the pathogenesis of HELLP syndrome., Material and Methods: In this study, the microarray dataset was downloaded from Gene Expression Omnibus (GEO) database and analyzed using the GEO2R online tool for identifying differentially expressed genes (DEGs). Enrichment analysis of DEGs was evaluated using the Enrichr database. Then, protein-protein interaction (PPI) networks were constructed via the STRING database; they were visualized by Cytoscape. Then the STRING database was used to construct PPI networks. The hub genes were recognized using the cytoHubba. Ultimately, the interaction of the miRNA-hub genes and drug-hub genes were also evaluated., Result: After analysis, it was found that some genes with the highest degree of connectivity are involved in the pathogenesis of HELLP syndrome, which are known as the hub genes. These genes are as follows: KIT, JAK2, LEP, EP300, HIST1H4L, HIST1H4F, HIST1H4H, MMP9, THBS2, and ADAMTS3. Has-miR-34a-5p was also most associated with hub genes., Conclusion: Finally, it can be said, that the identification of genes and molecular pathways in HELLP syndrome can be helpful in identifying the pathogenesis pathways of the disease, and designing therapeutic targets., (© 2022 Japan Society of Obstetrics and Gynecology.)
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- 2022
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19. Multi-modality machine learning predicting Parkinson's disease.
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Makarious MB, Leonard HL, Vitale D, Iwaki H, Sargent L, Dadu A, Violich I, Hutchins E, Saffo D, Bandres-Ciga S, Kim JJ, Song Y, Maleknia M, Bookman M, Nojopranoto W, Campbell RH, Hashemi SH, Botia JA, Carter JF, Craig DW, Van Keuren-Jensen K, Morris HR, Hardy JA, Blauwendraat C, Singleton AB, Faghri F, and Nalls MA
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Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Parkinson's disease (PD) risk and systematically develop a model using GenoML, an automated ML package, to make improved multi-omic predictions of PD, validated in an external cohort. We investigated top features, constructed hypothesis-free disease-relevant networks, and investigated drug-gene interactions. We performed automated ML on multimodal data from the Parkinson's progression marker initiative (PPMI). After selecting the best performing algorithm, all PPMI data was used to tune the selected model. The model was validated in the Parkinson's Disease Biomarker Program (PDBP) dataset. Our initial model showed an area under the curve (AUC) of 89.72% for the diagnosis of PD. The tuned model was then tested for validation on external data (PDBP, AUC 85.03%). Optimizing thresholds for classification increased the diagnosis prediction accuracy and other metrics. Finally, networks were built to identify gene communities specific to PD. Combining data modalities outperforms the single biomarker paradigm. UPSIT and PRS contributed most to the predictive power of the model, but the accuracy of these are supplemented by many smaller effect transcripts and risk SNPs. Our model is best suited to identifying large groups of individuals to monitor within a health registry or biobank to prioritize for further testing. This approach allows complex predictive models to be reproducible and accessible to the community, with the package, code, and results publicly available., (© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)
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- 2022
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20. Aspirin exacerbated respiratory disease (AERD): molecular and cellular diagnostic & prognostic approaches.
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Hybar H, Saki N, Maleknia M, Moghaddasi M, Bordbar A, and Naghavi M
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- Animals, Genetic Predisposition to Disease, Humans, Polymorphism, Genetic, Prognosis, Respiratory Tract Diseases genetics, Respiratory Tract Diseases physiopathology, Aspirin adverse effects, Disease Progression, Respiratory Tract Diseases chemically induced, Respiratory Tract Diseases diagnosis
- Abstract
Aspirin-exacerbated respiratory disease (AERD) is characterized by immune cells dysfunction. This study aimed to investigate the molecular mechanisms involved in AERD pathogenesis. Relevant literatures were identified by a PubMed search (2005-2019) of english language papers using the terms "Aspirin-exacerbated respiratory disease", "Allergic inflammation", "molecular mechanism" and "mutation". According to the significant role of inflammation in AERD development, ILC-2 is known as the most important cell in disease progression. ILC-2 produces cytokines that induce allergic reactions and also cause lipid mediators production, which activates mast cells and basophils, ultimately. Finally, Monoclonal antibody and Aspirin desensitization in patients can be a useful treatment strategy for prevention and treatment.
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- 2021
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21. Diverse Effect of Vitamin C and N-Acetylcysteine on Aluminum-Induced Eryptosis.
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Zangeneh AR, Takhshid MA, Ranjbaran R, Maleknia M, and Meshkibaf MH
- Abstract
Purpose: The role of oxidative stress in Aluminum (Al)-induced apoptotic effects has been investigated and suicidal death of erythrocytes, eryptosis, is characterized by cell shrinkage and phosphatidylserine externalization (PSE) at the surface of the erythrocyte cell membrane. Eryptosis is stimulated by an increase in cytosolic Ca
2+ concentration and reactive oxygen species (ROS). This ex vivo study was conducted to evaluate the effect of well-known antioxidants including vitamin C (vit C) and N-acetylcysteine (NAC), against Al-induced hemolysis and eryptosis., Methods: Isolated erythrocytes from the healthy volunteers were partitioned into various groups (6 replicates/group) and treated by various concentrations of Al (3-100 µ M) in the presence and absence of vit C (0.6 mM) and NAC (1 mM). After 24 hours of treatment, hemolysis was determined from hemoglobin levels in the supernatant. Flowcytometric methods were applied to measure PSE, cell shrinkage, Ca2+ content, and ROS abundance using annexin V-binding, forward scatter, Fluo3 -fluorescence, and DCFDA dependent fluorescence, respectively. Reduced glutathione (GSH) was measured by the ELISA method., Results: The results showed that a 24 hours' exposure of the erythrocytes to Al (10-100 µ M) significantly increased hemolysis in a dose and Ca2+ dependent manner. Al also dramatically decreased forward scatter. The percentage of PSE cells, Fluo3 -fluorescence, and DCFDA fluorescence were increased by Al. Furthermore, cotreatment with NAC inhibited the effect of Al on hemolysis, eryptosis, and ROS production. Vit C decreased Al-induced ROS production. However, increased Al-induced eryptosis. There were no significant changes in glutathione after the ALCL3 treatment., Conclusions: Al-induced eryptosis and hemolysis through triggering oxidative stress, while NAC could diverse this effect. In contrast, vit C might intensify Al-induced eryptosis at particular doses through a less known mechanism., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Ali Reza Zangeneh et al.)- Published
- 2021
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22. The Molecular Mechanism of Aluminum Phosphide poisoning in Cardiovascular Disease: Pathophysiology and Diagnostic Approach.
- Author
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Hosseini SF, Forouzesh M, Maleknia M, Valiyari S, Maniati M, and Samimi A
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- Animals, Apoptosis drug effects, Cardiovascular Diseases diagnosis, Cardiovascular Diseases metabolism, Cardiovascular Diseases physiopathology, Energy Metabolism drug effects, Hemolysis drug effects, Humans, Mitochondria, Heart metabolism, Mitochondria, Heart pathology, Myocytes, Cardiac metabolism, Myocytes, Cardiac pathology, Oxidative Stress drug effects, Prognosis, Reactive Oxygen Species metabolism, Aluminum Compounds toxicity, Cardiovascular Diseases chemically induced, Mitochondria, Heart drug effects, Myocytes, Cardiac drug effects, Pesticides toxicity, Phosphines toxicity
- Abstract
Nowadays, poisoning with metal phosphides, especially aluminum phosphide (ALP), is one of the main health threats in human societies. Patients suffer from significant complications due to this type of poisoning, and the heart is one of the main organs targeted by ALP. Therefore, in this study, we discussed the effect of phosphine on cardiac function. This study is based on data obtained from PubMed, between 2002 and 2020. The key keywords included "Aluminum phosphide," "Oxidative Stress," "Mitochondria," "Cardiovascular disease," and "Treatment." The results showed that ALP produced reactive oxygen species (ROS) due to mitochondrial dysfunction. ROS production leads to red blood cell hemolysis, decreased ATP production, and induction of apoptosis in cardiomyocytes, which eventually results in cardiovascular disease. Since ALP has the most significant effect on cardiomyocytes, the use of appropriate treatment strategies to restore cell function can increase patients' survival.
- Published
- 2020
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23. Correction to: The Molecular Mechanism of Aluminum Phosphide poisoning in Cardiovascular Disease: Pathophysiology and Diagnostic Approach.
- Author
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Hosseini SF, Forouzesh M, Maleknia M, Valiyari S, Maniati M, and Samimi A
- Abstract
The article "The Molecular Mechanism of Aluminum Phosphide poisoning in Cardiovascular Disease: Pathophysiology and Diagnostic Approach", written by Seyed Farzad Hosseini · Mehdi Forouzesh · Mohsen Maleknia · Samira Valiyari · Mahmood Maniati · Azin Samimi, was originally published electronically on the publisher's internet portal (currently SpringerLink) on 25th July 2020 with open access. With the author(s)' decision to step back from Open Choice, the copyright of the article changed on 29th July 2020 to © Springer Science+Business Media, LLC, part of Springer Nature 2020 and the article is forthwith distributed under the terms of copyright. The original article has been corrected.
- Published
- 2020
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24. Deep vein thrombosis: a less noticed complication in hematologic malignancies and immunologic disorders.
- Author
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Alipanahzadeh H, Ghulamreza R, Shokouhian M, Bagheri M, and Maleknia M
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- Anticoagulants therapeutic use, Blood Coagulation Factors metabolism, Hematologic Neoplasms blood, Hematologic Neoplasms diagnosis, Hematologic Neoplasms drug therapy, Humans, Immune System Diseases blood, Immune System Diseases diagnosis, Immune System Diseases drug therapy, Immunosuppressive Agents therapeutic use, Inflammation Mediators blood, Prognosis, Risk Assessment, Risk Factors, Venous Thromboembolism blood, Venous Thromboembolism diagnosis, Venous Thromboembolism prevention & control, Venous Thrombosis blood, Venous Thrombosis diagnosis, Venous Thrombosis prevention & control, Blood Coagulation drug effects, Hematologic Neoplasms complications, Immune System Diseases complications, Venous Thromboembolism etiology, Venous Thrombosis etiology
- Abstract
Deep vein thrombosis (DVT) is a common complication in hematologic malignancies and immunologic disorders that coagulation and inflammatory factors play a crucial role in its occurrence. The content used in this article has been obtained by PubMed database and Google Scholar search engine of English-language articles (1980-2019) using the "Deep vein thrombosis," "Hematologic malignancies," "Immunologic disorders" and "Treatment." Increased levels of coagulation factors, the presence of genetic disorders, or the use of thrombotic drugs that stimulate coagulation processes are risk factors for the development of DVT in patients with hematologic malignancies. Inflammatory and auto-anti-inflammatory factors, along with coagulant factors, play an essential role in the formation of venous thrombosis in patients with immunological disorders by increasing the recruitment of inflammatory cells and adhesion molecules. Therefore, anti-coagulants in hematologic malignancies and immunosuppressants in immune disorders can reduce the risk of developing DVT by reducing thrombotic and inflammatory activity. Considering the increased risk of DVT due to impaired coagulation and inflammation processes, analysis of coagulation and inflammatory factors have prognostic values in patients with immunologic deficiencies and hematologic malignancies. Evaluation of these factors as diagnostic and prognostic biomarkers in the prediction of thrombotic events could be beneficial in implementing effective treatment strategies for DVT.
- Published
- 2020
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25. Do exosomes play role in cardiovascular disease development in hematological malignancy?
- Author
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Zadeh FJ, Ghasemi Y, Bagheri S, Maleknia M, Davari N, and Rezaeeyan H
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- Biomarkers metabolism, Cardiovascular Diseases etiology, Cardiovascular Diseases metabolism, Exosomes metabolism, Hematologic Neoplasms complications, Hematologic Neoplasms metabolism, Humans, Myocytes, Cardiac metabolism, Neoplasms metabolism, Neovascularization, Pathologic metabolism, Cardiovascular Diseases pathology, Exosomes pathology, Hematologic Neoplasms pathology
- Abstract
Exosomes play a role in the pathogenesis and treatment of malignancies as a double-edged sword. Recently, researchers discussed about two new roles, cardiomyocyte function impairment and cardiovascular disease (CVD) genesis. Data were collected from PUBMED at various time points up to the 2019 academic year. The related key words are listed as following; "Arsenic trioxide", "acute promyelocytic leukemia" and "cardio toxicity" and "molecular pathway" and "biomarker". This study has shown that exosomes secreted substances stimulate angiogenesis and cardiomyocytes repairment; cited process depended on the kinds of released substances. Generally, exosomes may involve in the pathogenesis of CVD; although CVD can prevented by identifying the pathways that induce angiogenesis.
- Published
- 2020
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26. The HLA-DRB1*11 group-specific allele is a predictor for alloantibody production in the transfusion-dependent thalassemia patients.
- Author
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Ebrahimi M, Maleknia M, Parav N, Mohammadi MB, Mortazavi Y, Saki N, and Rahim F
- Subjects
- Alleles, Female, Humans, Male, Blood Transfusion methods, HLA-DRB1 Chains genetics, Isoantibodies blood, Thalassemia genetics
- Abstract
Background and Objectives: Recently, researchers have shown an increased interest in thalassemia for detecting susceptible factors in alloimmunization development. Alloimmunization, especially against Rh and Kell blood, occurs in 30% of thalassemia dependent transfusion (TDT) patients. The aim of this study is to determine the role of HLA-DRB1*11 and HLA-DRB1*13 group-specific alleles in the production of Rh and Kell alloantibodies., Materials and Methods: 106 TDT patients were recruited for this study (54 responders and 52 non-responders). Responder patients developed Rh, Kell and/or specificities alloantibodies. HLA genotyping was done with Sequence-Specific Primers (SSP-PCR) and the results were compared between two groups., Results: A significant association was found between anti-K (P=0.021, OR=2.546, 95%CI) and anti-E (P=0.049, OR=2.304, 95%CI) alloantibodies production with DRB1*11, respectively. Development of Anti-K and Anti-E alloantibodies were associated with DRB1*11 (P = 0.021, OR = 2.546, 95%CI) (P = 0.049, OR = 2.304, 95%CI), respectively. Further analysis showed that DRB1*11 is more frequent in multi responders (responder with both Rh and Kell alloantibodies) than mono-responders, 71% Versus 29%. There was not found any association between the DRB1*13 group-specific allele and the production of alloantibodies (P = 0.584, OR = 0.308, 95%CI)., Conclusions: The evidence from this study suggests that detecting the DRB1*11 group-specific allele before starting transfusion can be useful to identify susceptible patients, increase HSCT transplantation compatibility and blood transfusion management., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest. All procedure performs in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or compare ethical strand., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Published
- 2020
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27. Essential thrombocythemia: a hemostatic view of thrombogenic risk factors and prognosis.
- Author
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Maleknia M, Shahrabi S, Ghanavat M, Vosoughi T, and Saki N
- Subjects
- Blood Platelets metabolism, Endothelial Cells metabolism, Hemostasis physiology, Hemostatics metabolism, Humans, Leukocytes, Mutation, Platelet Aggregation, Prognosis, Risk Factors, Thrombocythemia, Essential diagnosis, Thrombosis genetics, Thrombosis metabolism, Thrombosis physiopathology, Thrombocythemia, Essential metabolism, Thrombocythemia, Essential physiopathology
- Abstract
Essential thrombocythemia (ET) is a classical myeloproliferative neoplasm that is susceptible to hypercoagulable state due to impaired hemostatic system, so that thrombotic complications are the leading cause of mortality in ET patients. The content used in this article has been obtained by the PubMed database and Google Scholar search engine from English-language articles (2000-2019) using the following keywords: "Essential thrombocythemia," "Thrombosis," "Risk factors" and "Hemostasis. In this neoplasm, the count and activity of cells such as platelets, leukocytes, endothelial cells, as well as erythrocytes are increased, which can increase the risk of thrombosis through rising intercellular interactions, expression of surface markers, and stimulation of platelet aggregation. In addition to these factors, genetic polymorphisms in hematopoietic stem cells (HSCs), including mutations in JAK2, CALR, MPL, or genetic abnormalities in other genes associated with the hemostatic system may be associated with increased risk of thrombotic events. Moreover, disruption of coagulant factors can pave the way for thrombogeneration. Therefore, the identification of markers related to cell activation, genetic abnormalities, or alternation in the coagulant system can be used together as diagnostic and prognostic markers for the occurrence of thrombosis among ET patients. Thus, because thrombotic complications are the main factors of mortality in ET patients, a hemostatic viewpoint and risk assessment of cellular, genetic, and coagulation factors can have prognostic value and contribute to the choice of effective treatment and prevention of thrombosis.
- Published
- 2020
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28. Neutropenia and leukemia development: genetic risk factors and prognosis.
- Author
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Shahrabi S, Maleknia M, Tavakolifar Y, D Zayeri Z, and Saki N
- Subjects
- Humans, Leukemia etiology, Leukemia genetics, Neutrophils metabolism, Prognosis, Risk Factors, Leukemia pathology, Mutation, Neutropenia complications, Neutrophils pathology, Transcription Factors genetics
- Abstract
Neutropenia is known as a clinical consequence in various genetic disorders and other neutropenia-inducing mutations (NIM) nonmalignant diseases. Leukemia development is now a major concern about the mortality of patients with congenital neutropenia. We searched the PubMed database and Google Scholar engine using English-language article (1980-2019) using the terms 'Neutropenia,' 'Leukemia,' 'Mutation,' and 'Polymorphism.' Patients with neutropenia have leukemia-related genetic abnormalities which are noticeable as mutations and chromosome abnormalities. The presence of mutations in patients with neutropenia can affect the biological function of neutrophils and increase the likelihood of leukemia progression, which can be important in the diagnosis and prognosis of patients. NIM can play an important role in leukemia development via enhancing intracellular signaling, apoptosis inhibition, and effects on transcription factors in patients with neutropenia. Therefore, the detection of genetic risk factors can be useful in prognosis, early diagnosis, and prevention of leukemia development.
- Published
- 2019
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29. [Free alpha- and beta-globins and hemoglobin biosynthesis].
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Blum N, Maleknia M, and Schapira G
- Subjects
- Animals, Blood Proteins biosynthesis, Carbon Isotopes, Cell-Free System, Globins biosynthesis, Globins metabolism, Globins pharmacology, Leucine metabolism, Ligases metabolism, Peptide Biosynthesis, Rabbits, Reticulocytes metabolism, Ribosomes metabolism, Hemoglobins biosynthesis
- Published
- 1970
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