👤 Shaheenah Dawood

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Articles
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Also published as: Hend M Dawood, Retaj A Dawood,
articles
Hayder M Al-Kuraishy, Ghassan M Sulaiman, Hamdoon A Mohammed +5 more · 2025 · Neuropsychopharmacology reports · Wiley · added 2026-04-24
Alzheimer's disease (AD) is the most common neurodegenerative disease associated with the development of dementia. The hallmarks of AD neuropathology are accumulations of amyloid peptide (Aβ) and neur Show more
Alzheimer's disease (AD) is the most common neurodegenerative disease associated with the development of dementia. The hallmarks of AD neuropathology are accumulations of amyloid peptide (Aβ) and neurofibrillary tangles (NFTs). Aβ is derived from the processing of APP (amyloid beta precursor protein) by BACE1 (beta-secretase 1) and γ-secretase through an amyloidogenic pathway. However, processing of APP by ADAM10/α-secretase (ADAM metallopeptidase domain 10) enzymes through a non-amyloidogenic pathway produces soluble APP alpha (sAPPα), which has a neuroprotective effect. It has been shown that activated platelets are implicated in the pathogenesis of AD, which also increases platelet activation. Under physiological conditions, platelets regulate synaptic plasticity and increase neuronal differentiation by regulation of the inflammatory response. However, overactivated platelets contribute to the pathogenesis of AD. Activated platelets represent the main source of circulating APP and Aβ that may be involved in AD neuropathology. Therefore, there is a close relationship between AD neuropathology and activated platelets. This review discusses the potential role of platelets in the pathogenesis of AD, and how targeting of activated platelets may reduce AD neuropathology. Show less
📄 PDF DOI: 10.1002/npr2.12525
BACE1
Manabu Muto, Yu Sunakawa, Nippun Sandhir +5 more · 2025 · Oncology research and treatment · added 2026-04-24
Gastrointestinal malignancies account for 25% of all cancer cases and 35% of cancer-related mortality. Next-generation sequencing (NGS) can elucidate the genomic landscape of gastrointestinal cancers; Show more
Gastrointestinal malignancies account for 25% of all cancer cases and 35% of cancer-related mortality. Next-generation sequencing (NGS) can elucidate the genomic landscape of gastrointestinal cancers; tissue-based genotyping has traditionally been used, but liquid biopsy-based genotyping is a noninvasive alternative. Moreover, geographical variations in the genomic landscape of gastrointestinal cancers have not been fully elucidated. This retrospective study aimed to gain insight into the genomic landscape of patients with gastrointestinal cancers from the Asia and Middle East (AME) region using plasma-derived circulating tumor DNA (ctDNA). From routine clinical practice, 2,601 plasma samples were collected from 2,062 patients with gastrointestinal cancers in the AME region. NGS profiling was conducted using the Guardant360® assay. The frequency of biomarkers that can aid decision-making in cancer patients was investigated. Single-nucleotide variants affected most commonly TP53 (70.4%), KRAS (44.0%), APC (25.7%), ATM (15.1%), and PIK3CA (12.3%). Copy number alterations were most often observed in EGFR (13.7%), CCNE1 (5.9%), PIK3CA (5.0%), MYC (4.7%), and FGFR1 (4.6%); fusions were detected in 1.6% of patients and most frequently affected FGFR2, RET, ALK, FGFR3, and NTRK1/3. In patients with pancreatic adenocarcinoma, the most frequently observed clinically informative genomic biomarkers occurred in KRAS (G12C, 1.6%; all others, 67.1%), BRCA1/2 (4.1%), BRAF (V600X, 1.5%), and microsatellite instability-high (MSI-H) (1.0%). In patients with colorectal cancer, the most common clinically relevant alterations were KRAS (49.0%), BRAF (V600E, 7.6%), and NRAS (5.7%) mutations; ERBB2 amplifications (2.5%); and MSI-H (1.8%). In patients with biliary tract cancers, actionable alterations included IDH1 mutations (11.1%), ERBB2 amplifications (4.6%), FGFR2 fusions (2.0%), MSI-H (2.0%), and BRAF V600E (1.5%). In patients with gastric or gastroesophageal junction adenocarcinomas, actionable alterations included ERBB2 amplifications (10.1%) and MSI-H (3.6%). Our data provide insight into the genomic landscape of patients with gastrointestinal cancers from the AME region using ctDNA analysis. These findings highlight the potential utility of liquid biopsy as a noninvasive tool for characterizing tumor genomic profiles and support its role in clinical practice. Show less
📄 PDF DOI: 10.1159/000545560
FGFR1
Shaheenah Dawood, Nippun Sandhir, Marwan Akasheh +6 more · 2025 · Oncology · added 2026-04-24
Next-generation sequencing (NGS) of tumor DNA can detect actionable drivers and help guide therapy for patients with advanced-stage cancers. While tissue-based genotyping is considered a standard of c Show more
Next-generation sequencing (NGS) of tumor DNA can detect actionable drivers and help guide therapy for patients with advanced-stage cancers. While tissue-based genotyping is considered a standard of care, blood-based genotyping is emerging as a valid alternative. Tumor genomic profiles may vary by region, and data from the Middle East and North Africa (MENA) are not widely available. This study elucidates the genomic landscape of advanced solid cancers in patients from the MENA region by retrospectively analyzing results from NGS circulating tumor DNA (ctDNA) testing. In routine clinical practice, 926 plasma samples from 767 patients with advanced cancers from the MENA region were profiled using a comprehensive NGS assay (Guardant360®). We conducted a pan-cancer analysis and sub-analyses focusing on lung, breast, and colorectal cancers. In the pan-cancer group, TP53 (58.5%), EGFR (20.4%), and KRAS (18.9%) were the most frequently mutated genes. EGFR (10.2%), FGFR1 (4.9%), and PIK3CA (4.9%) showed the most amplifications, while fusions were observed in 2.7% of patients, including ALK, FGFR2, and RET. For lung adenocarcinoma, EGFR (30.5%), KRAS (19.3%), and ERBB2 (4.6%) were the most frequently identified alterations among the genes recommended for evaluation by the National Comprehensive Cancer Network (NCCN). In patients with breast cancer, PIK3CA (35.3%), ESR1 (21.7%), and BRCA1/2 (13.3%) had the most prevalent alterations among NCCN-recommended genes. In colorectal cancer, KRAS (39.0%), NRAS (8.0%), and BRAF (V600E, 4.0%) were the most observed mutations among genes recommended by the NCCN. Comparing this cohort to publicly available Western and Eastern datasets also indicated similarities (including PIK3CA in breast cancer) and variances (including EGFR in lung adenocarcinoma) in key genes of interest in the analyzed cancer types. Overall, our findings provide insight into the genomic landscape of individuals with advanced solid organ malignancies from the MENA region and support the role of ctDNA in guiding therapeutic decisions. Show less
📄 PDF DOI: 10.1159/000541571
FGFR1
Hend M Dawood, Neveen M Barghouth, Nesrine S El-Mezayen +2 more · 2024 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Saussurea costus (Falc.) Lipschitz. is one of the most reputed medicinal plants as a traditional medicine in the Arab and Middle East regions in the treatment of thyroid disorders, however, more inves Show more
Saussurea costus (Falc.) Lipschitz. is one of the most reputed medicinal plants as a traditional medicine in the Arab and Middle East regions in the treatment of thyroid disorders, however, more investigations are needed to fully understand its effectiveness and mechanism of action. The primary objective of the study was to assess the impact of Saussurea costus (COST) on the metabolic profiles of propylthiouracil (PTU)-induced hypothyroidism in rats. This involves a comprehensive examination of serum metabolites using UPLC/QqQ-MS analysis aiming to identify differential metabolites, elucidate underlying mechanisms, and evaluate the potential pharmacological effect of COST in restoring metabolic homeostasis. Hypothyroidism was induced in female Sprague-Dawley rats by oral administration of propylthiouracil (PTU). UPLC/QqQ MS analysis of serum samples from normal, PTU, and PTU + COST rats was utilized for annotation of intrinsic metabolites with the aid of online Human metabolome database (HMDB) and extensive literature surfing. Multivariate statistical analyses, including orthogonal partial least squares discriminant analysis (OPLS-DA), discerned variations between the different groups. Serum levels of T3, T4 and TSH in addition to arachidonic acid (ARA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) levels in thyroid gland tissues; Phospholipase A2 group IIA (PLA2G2A), and lipoprotein lipase (LPL) in liver tissues were assessed by specific ELISA kits. Gene expression for key proteins of the primary evolved pathwayswere quantified by one-step qRT-PCR technique. Histopathological evaluation of thyroid gland tissue was performed by an investigator blinded to the experimental group using light microscope. Distinct clustering in multivariate statistical analysis models indicated significant variations in serum chemical profiles among normal, disease, and treated groups. VIP values guided the selection of differential metabolites, revealing significant changes in metabolite concentrations. Subsequent to COST treatment, 43 differential intrinsic metabolites exhibited a notable tendency to revert towards normal levels. Annotated metabolites, such as lysophosphatidylcholine (LPC), L-acetylcarnitine, gamma-glutamylserine, and others, showed differential regulation in response to PTU and subsequent S. costus treatment. Notably, 21 metabolites were associated with polyunsaturated fatty acids (PUFAs) biosynthesis, arachidonic acid (ARA) metabolism, and glycerophospholipid metabolism exhibited significant changes on conducting metabolic pathway analysis. COST improves PTU-induced hypothyroidism by regulating biosynthesis of PUFAs signified by n-3/n-6, ARA and glycerophospholipid metabolism. The study provides us a novel mechanism to explain the improvement of hypothyroidism and associated dyslipidemia by COST, depicts a metabolic profile of hypothyroidism, and gives us another point cut for further exploring the biomarkers and pathogenesis of hypothyroidism. Show less
no PDF DOI: 10.1016/j.jep.2024.117784
LPL