👤 Tarif Awad

Osteosarcoma remains the most common primary malignant bone tumor, with poor outcomes in metastatic or recurrent cases. Current treatments often fail to prevent relapse, highlighting the need for innovative therapeutic strategies. Aptamers, short and single-stranded oligonucleotides capable of folding into three-dimensional shapes, have emerged as promising tools for targeted cancer diagnostics and therapy due to their high affinity, specificity, and modifiability. A structured search was conducted through PubMed, Scopus, and Google Scholar up to March 2025, focusing on peer-reviewed articles exploring the use of aptamers in osteosarcoma. A total of 158 studies were included, highlighting aptamer applications in tumor diagnosis, pathway targeting, and precision drug delivery. Aptamers demonstrated significant potential in osteosarcoma research, notably in identifying tumorigenesis pathways, enhancing diagnostic accuracy through ELISA and biosensors, and improving targeted drug delivery. SELEX-derived aptamers effectively targeted molecules such as CD133, EGFR, VEGFA, and FGFR1, leading to enhanced cytotoxicity, reduced off-target effects, and greater specificity for osteosarcoma cells and cancer stem cells. The integration of aptamers with nanoparticles further optimized therapeutic delivery, highlighting their capability to enhance precision medicine in osteosarcoma. Aptamers offer clear benefits over traditional osteosarcoma treatments. Their strong binding affinity to cancer cells, low risk of immune reactions, and flexible chemical modifications make them powerful tools for diagnosis and therapy, especially when combined with nanoparticle delivery systems. Aptamers represent a promising class of targeted agents for osteosarcoma. Future research should prioritize optimizing delivery strategies and validating clinical efficacy to accelerate their integration into clinical practice. Show less

Ipriflavone (IPRI), an isoflavone derivative, is clinically used to prevent postmenopausal bone loss in addition to its antioxidant and cognitive benefits. However, its poor aqueous solubility retained its bioavailability. New strategies have been developed to improve the bioavailability and solubility of neurological medications to enhance their potency and limit adverse effects. This study aimed to prepare targeted IPRI-poly-lactic-co-glycolic acid (PLGA) nanoparticles coupled with Tet-1 peptide to increase the therapeutic potency of IPRI in a rat model of Alzheimer's disease (AD). Streptozotocin (STZ) exacerbates Alzheimer-related alterations by promoting central insulin resistance resulted from defective signaling pathways related to neuroinflammation and neurotoxicity. Bilateral intracerebroventricular (icv) injection of STZ was used to introduce the AD model. Icv-STZ injection significantly affected brain insulin, oxidative stress, inflammatory, and apoptotic indicators and caused behavioral abnormalities. STZ promoted the formation of amyloid β42 (Aβ42) by increasing BACE1 and reducing ADAM10 and ADAM17 expression levels. STZ also triggered the accumulation of neurofibrillary tangles and synaptic dysfunction, which are crucial for neurological impairments. Icv-STZ injection showed evident degenerative changes in the pyramidal cell layer and significantly reduced the count of viable cells in both CA1 and prefrontal cortex, indicating increased neuronal cell death. IPRI successfully ameliorated cognitive dysfunction by improving the phosphorylated forms of cAMP-response element-binding protein (pCREB) and extracellular signal-regulated kinase 1/2 (pERK1/2) related to synaptic plasticity. Targeted IPRI nanoparticles exceeded free IPRI potential in reducing oxidative stress, acetylcholinesterase/monoamine oxidase activities, Tau phosphorylation, and Aβ42 levels revealing less degenerative changes and increased viable neuron counts. IPRI-targeted nanoparticles improved the neuroprotective potential of free IPRI, making this strategy applicable to treat many neurodegenerative diseases. Finally, the in silico study predicted its ability to cross the BBB and to bind various protein targets in the brain. Show less

Elevated lipoprotein(a) [Lp(a)] and low high-density lipoprotein-cholesterol (HDL-C) are established cardiovascular (CV) risk factors, but their combined impact on mortality and sex differences remains unclear. This retrospective study analyzed 97 396 patients with measured Lp(a) and HDL-C. Groups were stratified by Lp(a) (≥50 vs. <50 mg/dl) and HDL-C [low (<40), optimal (40-60), high (>60 mg/dl)]. Mortality was assessed using the Kaplan-Meier curve and Cox models. Over a median of 5.9 years, 7794 deaths occurred. Compared to optimal HDL-C/low Lp(a) (reference), high HDL-C/low Lp(a) had the lowest mortality [adjusted hazard ratio (aHR): 0.85; 95% confidence interval (CI): 0.80-0.91], while low HDL-C/high Lp(a) had the highest risk (aHR: 1.55; 1.41-1.71). High HDL-C protective effect was insignificant with elevated Lp(a) (aHR: 0.98; 0.89-1.08). Sex-stratified analyses revealed divergent effects: women with high HDL-C/high Lp(a) retained the HDL-C protective effect (aHR: 0.82; 0.72-0.93), whereas men faced increased risk (aHR: 1.22; 1.05-1.42). Elevated Lp(a) enhances mortality risk despite elevated HDL-C levels, with sex-specific differences: women retain mortality benefits from high HDL-C despite elevated Lp(a), whereas men with concurrent elevations in HDL-C and Lp(a) experienced mortality risks comparable to those with low HDL-C. Findings underscore sex-specific CV risk stratification incorporating HDL-C and Lp(a), challenging the HDL-C universal protective role. Show less

There is an alarming spread of cases of lipid disorders in the world that occur due to harmful lifestyle habits, hereditary risk influences, or as a result of other illnesses or medicines. Cholesteryl Ester Transfer Protein (CETP) is a 476-residue lipophilic glycoprotein that helps in the transport of cholesteryl ester and phospholipids from the atheroprotective HDL to the proatherogenic LDL and VLDL. Inhibition of CETP leads to elevation of HDL cholesterol and reduction of LDL cholesterol and triglycerides; therefore, it is considered a good target for the treatment of hyperlipidemia and its comorbidities. In this research, synthesis, characterization, molecular modeling, and biological evaluation of eight 3,5-bis(trifluoromethyl)benzylamino benzamides 9a-d and 10a-d were carried out. The synthesized molecules were characterized using These compounds offered inhibitory effectiveness ranging from 42.2% to 100% at a concentration of 10 μM. Compounds bearing unsubstituted three aromatic rings (9a) or ortho-CF This work concludes that 3,5-bis(trifluoromethyl)benzylamino benzamides can serve as a promising CETP inhibitor lead compound. Show less

Somatic mutations have a central role in cancer but their role in other diseases such as autoimmune disorders is poorly understood. Earlier work has provided indirect evidence of rare somatic mutations in autoreactive T-lymphocytes in multiple sclerosis (MS) patients but such mutations have not been identified thus far. We analysed somatic mutations in blood in 16 patients with relapsing MS and 4 with other neurological autoimmune disease. To facilitate the detection of somatic mutations CD4+, CD8+, CD19+ and CD4-/CD8-/CD19- cell subpopulations were separated. We performed next-generation DNA sequencing targeting 986 immune-related genes. Somatic mutations were called by comparing the sequence data of each cell subpopulation to other subpopulations of the same patient and validated by amplicon sequencing. We found non-synonymous somatic mutations in 12 (60%) patients (10 MS, 1 myasthenia gravis, 1 narcolepsy). There were 27 mutations, all different and mostly novel (67%). They were discovered at subpopulation-wise allelic fractions of 0.2%-4.6% (median 0.95%). Multiple mutations were found in 8 patients. The mutations were enriched in CD8+ cells (85% of mutations). In follow-up after a median time of 2.3years, 96% of the mutations were still detectable. These results unravel a novel class of persistent somatic mutations, many of which were in genes that may play a role in autoimmunity (ATM, BTK, CD46, CD180, CLIP2, HMMR, IKFZF3, ITGB3, KIR3DL2, MAPK10, CD56/NCAM1, RBM6, RORA, RPA1 and STAT3). Whether some of this class of mutations plays a role in disease is currently unclear, but these results define an interesting hitherto unknown research target for future studies. Show less

More complete knowledge of the molecular mechanisms underlying cancer will improve prevention, diagnosis and treatment. Efforts such as The Cancer Genome Atlas are systematically characterizing the structural basis of cancer, by identifying the genomic mutations associated with each cancer type. A powerful complementary approach is to systematically characterize the functional basis of cancer, by identifying the genes essential for growth and related phenotypes in different cancer cells. Such information would be particularly valuable for identifying potential drug targets. Here, we report the development of an efficient, robust approach to perform genome-scale pooled shRNA screens for both positive and negative selection and its application to systematically identify cell essential genes in 12 cancer cell lines. By integrating these functional data with comprehensive genetic analyses of primary human tumors, we identified known and putative oncogenes such as EGFR, KRAS, MYC, BCR-ABL, MYB, CRKL, and CDK4 that are essential for cancer cell proliferation and also altered in human cancers. We further used this approach to identify genes involved in the response of cancer cells to tumoricidal agents and found 4 genes required for the response of CML cells to imatinib treatment: PTPN1, NF1, SMARCB1, and SMARCE1, and 5 regulators of the response to FAS activation, FAS, FADD, CASP8, ARID1A and CBX1. Broad application of this highly parallel genetic screening strategy will not only facilitate the rapid identification of genes that drive the malignant state and its response to therapeutics but will also enable the discovery of genes that participate in any biological process. Show less