Mohammed Alasseiri

Dr. Mohammed Alasseiri

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 October 2018 in Cytokine & Growth Factor Reviews
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MAMohammed Alasseiri
Mohammed Alasseiri
AAAfsar U. Ahmed
Afsar U. Ahmed
BWBryan Raymond George Williams
Bryan Raymond George Williams

5 February 2023 in Cancers
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OAOsama Al-Amer
Osama Al-Amer
RMRashid Mir
Rashid Mir
AHAbdullah Hamadi
Abdullah Hamadi
MAMohammed Alasseiri
Mohammed Alasseiri
MAMalik Altayar
Malik Altayar
YHYousef Hawsawi
Yousef Hawsawi
Background: The findings of earlier investigations of antiapoptotic gene genotypes and allele variants on lymphoma risk are ambiguous. This study aimed to examine the relationship between the mutation in the antiapoptotic genes and lymphoma risk among Saudi patients. Methods: This case–control study included 205 patients, 100 of whom had lymphoma (cases) and 105 who were healthy volunteers (controls). We used tetra amplification refractory mutation polymerase chain reaction (PCR) to identify antiapoptotic genes such as B-cell lymphoma-2 (BCL2-938 C > A), MCL1-rs9803935 T > G, and survivin (BIRC5-rs17882312 G > C and BIRC5-rs9904341 G > C). Allelic-specific PCR was used to identify alleles such as BIRC5-C, MCL1-G, and BIRC5-G. Results: The dominant inheritance model among cases showed that mutations in all four antiapoptotic genes were more likely to be associated with the risk of lymphoma by the odds of 2.0-, 1.98-, 3.90-, and 3.29-fold, respectively, compared to controls. Apart from the BCL-2-A allele, all three specified alleles were more likely to be associated with lymphoma by the odds of 2.04-, 1.65-, and 2.11-fold, respectively. Conclusion: Unlike healthy individuals, lymphoma patients are more likely to have antiapoptotic gene genotypes and allele variants, apart from BCL-2-A alterations. In the future, these findings could be used to classify and identify patients at risk of lymphoma.

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MAMohammed Alassiri
Mohammed Alassiri
FSFahd Al Sufiani
Fahd Al Sufiani
MAMohammed Aljohi
Mohammed Aljohi
AAAsma Alanazi
Asma Alanazi
AAAiman Alhazmi
Aiman Alhazmi
MAMashan L. Abdullah
Mashan L. Abdullah
To investigate the effect of the therapeutic treatment of the immunopeptide, peptide inhibitor of trans-endothelial migration (PEPITEM) on the severity of disease in a mouse model of experimental autoimmune encephalomyelitis (EAE) as a model for human multiple sclerosis (MS), a series of experiments were conducted. Using C57BL/6 female mice, we dosed the PEPITEM in the EAE model via IP after observing the first sign of inflammation. The disease was induced using MOG35-55 and complete Freund’s adjuvants augmented with pertussis toxin. The EAE score was recorded daily until the end of the experiment (21 days). The histological and immunohistochemistry analysis was conducted on the spinal cord sections. A Western blot analysis was performed to measure the protein concentration of MBP, MAP-2, and N-Cadherin, and ELISA kits were used to measure IL-17 and FOXP3 in the serum and spinal cord lysate. The therapeutic treatment with PEPITEM reduced the CNS infiltration of T cells, and decreased levels of the protein concertations of MBP, MAP-2, and N-Cadherin were observed, in addition to reduced concertations of IL-17 and FOXP3. Using PEPITEM alleviated the severity of the symptoms in the EAE model. Our study revealed the potential of PEPITEM to control inflammation in MS patients and to reduce the harmful effects of synthetic drugs.

10 June 2022 in BioMed Research International
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Palanivel VelmuruganPalanivel Velmurugan
Palanivel Velmurugan
VMVinayagam Mohanavel
Vinayagam Mohanavel
ASAnupama Shrestha
Anupama Shrestha
SSSubpiramaniyam Sivakumar
Subpiramaniyam Sivakumar
AOAtif Abdulwahab A. Oyouni
Atif Abdulwahab A. Oyouni
AAAdel Ibrahim Alalawy
Adel Ibrahim Alalawy
A technique to predict crucial clinical prostate cancer (PC) is desperately required to prevent diagnostic errors and overdiagnosis. To create a multimodal model that incorporates long-established messenger RNA (mRNA) indicators and conventional risk variables for identifying individuals with severe PC on prostatic biopsies. Urinary has gathered for mRNA analysis following a DRE and before a prostatic examination in two prospective multimodal investigations. A first group (n=489) generated the multimodal risk score, which was then medically verified in a second group (n=283). The reverse transcription qualitative polymerase chain reaction determined the mRNA phase. Logistic regression was applied to predict risk in patients and incorporate health risks. The area under the curve (AUC) was used to compare models, and clinical efficacy was assessed by using a DCA. The amounts of sixth homeobox clustering and first distal-less homeobox mRNA have been strongly predictive of high-grade PC detection. In the control subjects, the multimodal method achieved a total AUC of 0.90, with the most important aspects being the messenger riboneuclic acid features’ PSA densities and previous cancer-negative tests as a nonsignificant design ability to contribute to PSA, aging, and background. An AUC of 0.86 was observed for one more model that added DRE as an extra risk component. Two methods were satisfactorily verified without any significant changes within the area under the curve in the validation group. DCA showed a massive net advantage and the highest decrease in inappropriate costs.

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AHAbdullah Hamadi
Abdullah Hamadi
RMRashid Mir
Rashid Mir
Ali MahzariAli Mahzari
Ali Mahzari
AHAbdulrahim R. Hakami
Abdulrahim R. Hakami
RAReema Almotairi
Reema Almotairi
HMHassan Madkhali
Hassan Madkhali
Recent studies have indicated that microRNA and VEGF are considered to be genetic modifiers and are associated with elevated levels of fetal haemoglobin HbF, and thus they reduce the clinical impact of sickle haemoglobin (HbS) patients. This cross-sectional study was performed on clinical confirmed subjects of SCD cases. miR-423-rs6505162 C>T and VEGF-2578 C>A genotyping was conducted by ARMS-PCR in SCD and healthy controls. A strong clinical significance was reported while comparing the association of miR-423 C>T genotypes between SCD patients and controls (p = 0.031). The microRNA-423 AA genotype was associated with an increased severity of SCD in codominant model with odd ratio (OR = 2.36, 95% CI, (1.15–4.84), p = 0.018) and similarly a significant association was observed in recessive inheritance model for microRNA-423 AA vs (CC+CA) genotypes (OR = 2.19, 95% CI, (1.32–3.62), p < 0.002). The A allele was associated with SCD severity (OR = 1.57, 95% CI, (1.13–2.19), p < 0.007). The distribution of VEGF-2578 C>A genotypes between SCD patients and healthy controls was significant (p < 0.013). Our results indicated that in the codominant model, the VEGF-2578-CA genotype was strongly associated with increased SCD severity with OR = 2.56, 95% CI, (1.36–4.82), p < 0.003. The higher expression of HbA1 (65.9%), HbA2 (4.40%), was reported in SCD patients carrying miR-423-AA genotype than miR-423 CA genotype in SCD patients carrying miR-423 CA genotype HbA1 (59.98%), HbA2 (3.74%) whereas SCD patients carrying miR-423 CA genotype has higher expression of HbF (0.98%) and HbS (38.1%) than in the patients carrying AA genotype HbF (0.60%), HbS (36.1%). ARMS-PCR has been proven to be rapid, inexpensive and is highly applicable to gene mutation screening in laboratories and clinical practices. This research highlights the significance of elucidating genetic determinants that play roles in the amelioration of the HbF levels that is used as an indicator of severity of clinical complications of the monogenic disease. Further well-designed studies with larger sample sizes are necessary to confirm our findings.

17 November 2025 in Cellular and Molecular Neurobiology
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AHAbdullah Hamadi
Abdullah Hamadi
RMRashid Mir
Rashid Mir
OAOsama Al-Amer
Osama Al-Amer
MAMohammed Alasseiri
Mohammed Alasseiri
IEImadeldin Elfaki
Imadeldin Elfaki
KAKhalid I. Alharbi
Khalid I. Alharbi
Stroke is a health problem all over the world. It is a primary cause of disability and ranked number two death cause. In kingdom of Saudi Arabia KSA, the prevalence of stroke in the KSA estimated to be more than 40 per 100 thousand in 2021. The incidence of stroke is increasing in KSA. The risk factors for stroke are grouped into modifiable and nonmodifiable. The modifiable risk factors include diabetes, hyperlipidemia physical inactivity, and diet, whereas the nonmodifiable include sex, age, and race/ethnicity. Decreasing the modifiable risk factors reduces the burden of stroke in population. The long noncoding RNAs (LncRNAs) ANRIL is suggested as a biomarker and treatment target for stroke. The Transcription factor 7-like 2 (TCF7L2) has crucial roles in biological and pathological processes such as inflammation, metabolism, and atherosclerosis. In this study, we examined the associations of ANRIL rs1333045 C>T, CYP2C19*17 (C806T, rs12248560C>T, and TCF7L2 rs12255372 G>T with stroke in 100 stroke cases and 100 matched healthy controls from Tabuk population using the amplification refractory mutation system PCR (ARMS-PCR). Results indicated that the T allele of the ANRIL rs1333048 C>T was associated with stroke with Odd ratio (OR) = 1.73, P value-0.0067. Likewise, the GT genotype and the T allele of the TCF7L2 rs12255372 G>T were associated with stroke with OR = 2.14, P value = 0.01, and 1.9, P value = 0.004, respectively. In addition, the CT genotype and T allele of the CYP2C19*17 (rs12248560) C>T were also associated stroke with OR = 2, P value = 0.02 and OR = 2.3, P value = 0.002, respectively. We conclude that ANRIL rs1333045 C>T, CYP2C19*17 (C806T, rs12248560C>T, and TCF7L2 rs12255372 G>T are potential loci for susceptibility to stroke. This will assist in treatment and/or prevention of cerebrovascular disease.