Ali Abuhaliema

Dr. Ali Abuhaliema


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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1 January 2025 in International Journal of Breast Cancer
Verified
Journal Article
Open access
SJSijood Janabi
Sijood Janabi
LGLobna Gharaibeh
Lobna Gharaibeh
IDIbrahim AL Deeb
Ibrahim AL Deeb
AAAli Abuhaliema
Ali Abuhaliema
Purpose: Breast cancer patients are subjected to many hardships during chemotherapy which negatively affects the patient’s quality of life. The current study was conducted to identify aspects with low scores and produce untoward effects on the quality of life. Results: The results of the study showed that the social functioning domain achieved high quality of life mean score of 76.68 ± 32.94 while emotional functioning attained 38.18 ± 29.61. The most apparent symptoms detected were insomnia and fatigue followed by pain and loss of appetite. Regarding EORTC‐BR45, higher score and better quality of life were observed in the body image domain with a mean score of 60.72 ± 37.19, while the future perspective domain achieved low quality of life of 35.41 ± 42.9, and the most obvious symptom for patients was upset by hair loss. Conclusion: The results of the study showed the impact of chemotherapy on the lives of patients and highlighted the aspects that need greater focus by healthcare providers in Jordan. In addition to providing treatment, emotional and psychological support are necessary to improve the quality of life for these women.

17 February 2026 in Pharmacia
Verified
Journal Article
Open access
AAAli Abuhaliema
Ali Abuhaliema
LGLobna Gharaibeh
Lobna Gharaibeh
EJEman Jaradat
Eman Jaradat
MHMohaned Hammad
Mohaned Hammad
WAWalhan Alshaer
Walhan Alshaer
Non-coding RNAs (ncRNAs) have evolved from being regarded as “genomic noise” to a significant asset for gene therapy, enabling programmable control of transcription, RNA stability, and translation. This review integrates ncRNA biogenesis, therapeutic mechanisms, delivery engineering, and clinical translation across RNA subclasses (miRNAs, siRNAs, piRNAs, lncRNAs, and circRNAs), connecting molecular discoveries to design parameters and regulatory-grade development standards. Non-coding RNAs operate through sequence-specific silencing, decoy or sponging interactions, scaffolding of protein complexes, and epigenetic alteration across several modalities, creating multiple therapeutic opportunities while necessitating specialized requirements for cellular localization and target validation. Comparative synthesis indicates that siRNA therapeutics have progressed most swiftly due to dependable cytosolic target engagement and modular chemistry, with approved treatments such as patisiran demonstrating prolonged in vivo gene silencing. Conversely, early miRNA replacement endeavors (e.g., MRX34) demonstrate how innate immune activation, formulation-specific toxicity, and clinical variability might compromise favorable biological results. Nuclear accessibility, tissue-specific expression, and inadequate mechanistic characterization represent substantial translational barriers for lncRNA and circRNA treatments. Delivery emerges as the principal rate-limiting factor, as lipid nanoparticles, viral vectors, polymers, and extracellular vesicles each negotiate tissue tropism, endosomal escape, manufacturability, and immunogenicity. These insights collectively support a translational roadmap that prioritizes safer and more selective delivery methods, including ligand-guided and hybrid carriers; clearly defined endpoints that distinguish preclinical potential from clinical validation; and sophisticated design strategies incorporating RNA editing technologies and AI-driven optimization.

30 April 2026 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
HAHanen Al-Sadir
Hanen Al-Sadir
AAAyat Al-Farhood
Ayat Al-Farhood
AYAl-Motassem Yousef
Al-Motassem Yousef
RARami Abduljabbar
Rami Abduljabbar
SAShayma Z. Abdullah
Shayma Z. Abdullah
VKViolet Kasabri
Violet Kasabri
Background: We investigated whether common variants in SCN1A are associated with antiepileptic drug (AED) non-response in Jordanian patients with epilepsy. Methods: We recruited 114 patients (105 successfully genotyped) and Sanger-sequenced five loci spanning rs6432860 and its flanking region of rs1531380, rs1531379, rs1531378, and rs10198801. Genotype–response associations were tested using contingency analyses and multivariable logistic regression adjusting for age at the time of the interview, number of AEDs, and carbamazepine use. Pre-specified secondary analyses included (i) stratification by AED class (voltage-gated sodium channel [VGSC]-acting vs. non-VGSC agents) and (ii) sensitivity analyses using alternative non-response thresholds (seizures > 0/year and ≥4/year). Linkage disequilibrium (LD) and exact Hardy–Weinberg equilibrium (HWE) tests were evaluated. Cohort minor allele frequencies (MAFs) were compared with global population estimates. Results: The four upstream previously cataloged intronic variant SNPs (rs1531380, rs1531379, rs1531378, and rs6432860) were in a complete pattern of LD association in this population (D′ = 1; r2 = 1) whereas each upstream variant with rs10198801 showed D′ = 1 with inverse correlation (r ≈ −0.53). All loci conformed to the exact HWE tests. Upstream variants had novel associations with a non-response in unadjusted analyses and remained significant after adjustment (genotype aOR = 2.8; 95% CI = 1.1–7.2; p value = 0.03), alongside independent effects of carbamazepine use (aOR = 3.3; 95% CI = 1.3–8.0; p value = 0.009) and a number of AEDs (aOR = 0.17; 95% CI = 0.06–0.50; p value = 0.002). In AED-class stratification, upstream additional intronic variants had novel associations with a non-response among VGSC-treated patients (OR = 3.8; 95% CI = 1.1–13.6; p value = 0.03) whereas rs10198801 was associated among non-VGSC patients (OR = 7.9; 95% CI = 0.9–70; p value = 0.04). Findings were robust using a ≥4 seizures/year threshold (recessive model significant) but not using any seizures > 0/year. Cohort MAFs for upstream variants (~48.6%) exceeded European, African, and Asian estimates. Significance: SCN1A upstream intronic variation has a novel association with AED non-response in the Jordanian cohort, shows mechanism-aligned patterns by AED class, persists after covariate adjustment and under a clinically used seizure-frequency threshold, and warrants ancestry-informed replication and functional validation.