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HLA-G gene polymorphisms as predictors of survival in colorectal cancer: A unified machine learning approach HLA-G基因多态性作为结直肠癌患者生存的预测因子:一种统一的机器学习方法
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103564
Marwa Hasni , Sabrine Dhouioui , Nadia Boujelbene , Youssef Harrath , Abdel Halim Harrath , Mohamed Ali Ayadi , Ines Zemni , Safa Bhar Layeb , Ines Zidi

Objectives

Human Leukocyte Antigen (HLA-G) is a potent molecule involved in immune-tolerance. Here, we investigated the contribution of HLA-G gene polymorphisms (14 bp Ins/Del and +3142C/G) for accurate prediction of colorectal cancer (CRC) overall survival (OS) status. Our study presents a comprehensive investigation of the prognostic value of HLA-G genotypes and haplotypes in predicting OS status in 266 Tunisian patients with CRC.

Methods

We used a machine learning (ML)-based framework described below: (1) A dimensionality reduction approach was used to examine evidence of an association between HLA-G genotypes and OS status. (2) Decision-tree ML models were used to explore the performance of the HLA-G genotype as a relevant contributing feature to accurately predict OS status.

Results

 HLA-G polymorphisms were highly predictive of OS status when a random forest classifier was used. The HLA-G 14 bp Ins/Del polymorphism outperformed the HLA-G + 3142C/G polymorphism as a predictor of OS. The Del/Del genotype was associated with worse OS and the G/G genotype was associated with favorable OS. The InsC haplotype predicted a favorable prognosis, and the DelG haplotype predicted a worse OS. The combined prediction demonstrated, with 100 % precision and high accuracy, that Del/Del genotype associated with key clinical features, can efficiently predict worse OS. The results were evaluated through an external validation process to ensure their reliability.

Conclusions

We demonstrated the potential of HLA-G gene polymorphisms as robust candidate biomarkers to predict OS in CRC patients. The research on the HLA-G gene presents a promising avenue for developing an innovative decision-making tool to identify candidates for personalized therapeutic interventions.
目的人白细胞抗原(HLA-G)是参与免疫耐受的一种有效分子。在这里,我们研究了HLA-G基因多态性(14 bp Ins/Del和+3142C/G)对准确预测结直肠癌(CRC)总生存(OS)状态的贡献。我们的研究对266例突尼斯CRC患者HLA-G基因型和单倍型预测OS状态的预后价值进行了全面调查。方法我们使用了基于机器学习(ML)的框架,如下所述:(1)使用降维方法来检查HLA-G基因型与OS状态之间关联的证据。(2)使用决策树ML模型探讨HLA-G基因型作为准确预测OS状态的相关贡献特征的性能。结果使用随机森林分类器时,HLA-G多态性可高度预测OS状态。HLA-G 14bp Ins/Del多态性优于HLA-G + 3142C/G多态性作为OS的预测因子。Del/Del基因型与较差的OS相关,而G/G基因型与较好的OS相关。InsC单倍型预测预后良好,DelG单倍型预测预后较差。联合预测表明,与关键临床特征相关的Del/Del基因型可以有效预测较差的OS,准确度为100%。结果通过外部验证过程进行评估,以确保其可靠性。结论:我们证明了HLA-G基因多态性作为预测结直肠癌患者OS的强有力的候选生物标志物的潜力。对HLA-G基因的研究为开发一种创新的决策工具来确定个性化治疗干预的候选人提供了一条有前途的途径。
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引用次数: 0
Comparative study of PS and PES and their sulfonated forms in antifouling behavior and rejection efficiency PS和PES及其磺化形式的防污性能和去除率比较研究
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103576
Ibrahim Hotan Alsohaimi
In this study, novel hybrid ultrafiltration (UF) membranes were developed using polyethersulfone (PES), polysulfone (PS), and their sulfonated counterparts (SPES and SPS) to enhance water flux and antifouling properties. FTIR and XRD analyses validated the successful incorporation of sulfonate groups and structural changes, while SEM images revealed more porous and uniform membrane structures. Thermogravimetric analysis (TGA) showed enhanced thermal stability for the sulfonated membranes. Mechanical property evaluations demonstrated that the sulfonated membranes maintained good tensile strength and flexibility. Water uptake and porosity measurements indicated increased hydrophilicity and porosity for SPES and SPS membranes compared to their pristine forms. The pure water flux of SPES (130 L/m2·h) is significantly higher compared to PES (110 L/m2·h). The sulfonated membranes (SPS and SPES) exhibit significantly enhanced antifouling properties, as demonstrated by the improved flux recovery ratios (FRR) for SA, BSA, and HA compared to their non-sulfonated counterparts (PS and PES), reaching up to 75 % for SPES. The rejection performance for BSA, HA, and SA solutions showed that SPES membranes achieved 95 %, 90 %, and 92 % rejection rates, respectively, compared to 80 %, 75 %, and 70 % for PS membranes. Fouling resistance tests using BSA, HA, and SA solutions showed that SPES and SPS membranes had significantly higher flux and lower fouling tendencies.
本研究采用聚醚砜(PES)、聚砜(PS)及其磺化产物(spe和SPS)制备了新型超滤膜(UF),以提高水通量和防污性能。FTIR和XRD分析证实了磺酸基的成功结合和结构变化,而SEM图像显示了更多孔和均匀的膜结构。热重分析(TGA)表明磺化膜的热稳定性增强。力学性能评价表明,磺化膜保持良好的拉伸强度和柔韧性。吸水率和孔隙率测量表明,与原始形式相比,SPS和SPS膜的亲水性和孔隙率增加。spe的纯水通量(130 L/m2·h)显著高于PES (110 L/m2·h)。磺化膜(SPS和spe)的防污性能显著增强,与非磺化膜(PS和PES)相比,SA、BSA和HA的通量回收率(FRR)有所提高,spe的通量回收率高达75%。对BSA、HA和SA溶液的去除率分别为95%、90%和92%,而PS膜的去除率分别为80%、75%和70%。用BSA、HA和SA溶液进行的抗污性测试表明,SPES和SPS膜的通量显著提高,污染倾向较低。
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引用次数: 0
Nanomedicine for ovarian cancer: Enhancing pharmacokinetics and biodistribution 纳米药物治疗卵巢癌:增强药代动力学和生物分布
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103584
Salina Saddick
Ovarian cancer continues to pose a substantial healthcare obstacle, demanding the development of novel strategies to improve therapeutic results. Nanomedicine’s introduction has created novel opportunities for the targeted delivery of drugs in the treatment of ovarian cancer. This review article presents a thorough examination of the pharmacokinetics and biodistribution of nanoparticles designed to target ovarian cancer, emphasizing their capacity to significantly transform therapeutic approaches. Furthermore, we investigate the function of nanoparticles as vehicles for precise pharmaceutical administration, placing particular emphasis on the benefits they offer in comparison to traditional methodologies. We explore the intricacies of biodistribution, including the influence of formulations, surface modifications, and nanoparticle size on their internal distribution. In addition, we provide a comprehensive analysis of the importance of pharmacokinetics in the enhancement of drug delivery. This includes a synopsis of critical parameters including absorption, distribution, metabolism, and excretion, and their connection to the therapeutic effectiveness of nanoparticle-based approaches for ovarian cancer. A fundamental component of this review is a critical evaluation of the approaches utilized to improve the biodistribution and pharmacokinetics of nanoparticles designed to target ovarian cancer. Moreover, we have highlighted significant research studies and clinical trials of the in vivo behavior of nanoparticles and their practical applications. Nevertheless, we refrain from obfuscating over the extant obstacles and constraints, such as possible toxicity issues and impediments to the process of clinical translation. The paper concludes by engaging in a discussion on emerging technologies and future prospects, with a specific emphasis on the potential of personalized medicine in the context of ovarian cancer treatment.
卵巢癌继续构成一个实质性的保健障碍,要求发展新的战略,以提高治疗效果。纳米医学的引入为卵巢癌治疗的靶向药物递送创造了新的机会。这篇综述文章介绍了针对卵巢癌的纳米颗粒的药代动力学和生物分布的全面检查,强调了它们显著改变治疗方法的能力。此外,我们研究了纳米颗粒作为精确给药载体的功能,特别强调了它们与传统方法相比所提供的好处。我们探索生物分布的复杂性,包括配方、表面修饰和纳米颗粒尺寸对其内部分布的影响。此外,我们还全面分析了药代动力学在增强药物传递中的重要性。这包括关键参数的概述,包括吸收、分布、代谢和排泄,以及它们与基于纳米颗粒的卵巢癌治疗方法的治疗效果的联系。本综述的一个基本组成部分是对用于改善卵巢癌纳米颗粒生物分布和药代动力学的方法进行关键评估。此外,我们还强调了纳米颗粒在体内行为及其实际应用的重要研究和临床试验。然而,我们避免混淆现有的障碍和限制,如可能的毒性问题和临床翻译过程的障碍。论文最后讨论了新兴技术和未来前景,特别强调了卵巢癌治疗中个性化医疗的潜力。
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引用次数: 0
New best proximity point results on orthogonal F-proximal contractions with applications 正交f -近端收缩的新最佳邻近点结果及其应用
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103562
Gunaseelan Mani , Raman Thandavarayan Tirukalathi , Sabri T.M. Thabet , Miguel Vivas-Cortez
In this work, we propose the ideas of orthogonal F-proximal contraction mappings, generalized orthogonal F-proximal contraction mappings and establish several best proximity point theorems in an orthogonally complete metric space (OCMS) through a non-self mapping. Hence, utilizing these recently discovered results, numerous of the existing findings in the literature are generalized or expanded. An illustration is provided to highlight the utility of our findings. Finally, for illustrative applications, we discuss the qualitative properties of the solutions for a fractional boundary value problem in the Caputo sense, and we study the dynamic economic equilibrium problem.
本文提出了正交f -近端收缩映射、广义正交f -近端收缩映射的思想,并通过非自映射在正交完备度量空间(OCMS)上建立了几个最佳接近点定理。因此,利用这些最近发现的结果,许多文献中的现有发现被概括或扩展。这里提供了一个例子来强调我们的发现的实用性。最后,为了说明应用,我们讨论了Caputo意义下分数阶边值问题解的定性性质,并研究了动态经济均衡问题。
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引用次数: 0
Solvent role in molecular structure level (TD-DFT), topology, and molecular docking studies on liquid 2′, 4′-dichloroacetophenone 溶剂在分子结构水平(TD-DFT)中的作用,拓扑结构,以及液体2 ',4 ' -二氯苯乙酮分子对接研究
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103574
S. Mallika , B. Revathi , V. Balachandran , Natarajan Elangovan , Ling Shing Wong , Saminathan Kayarohanam , Natarajan Arumugam , Sinouvassane Djearamane
The study investigated the structure, spectroscopy, and chemical reactivity of 2′,4′-dichloroacetophenone using DFT and Hartree-Fock (HF) methods. The B3LYP and LC DFT (CAM-B3LYP) methods were applied to a 6–311++G (d, p) basis set combination. The bond angles and bond lengths are appraised in depth to understand the geometrical framework. The FT-IR and FT-Raman spectra of the respective compound were analyzed within the regions of 4000–400 cm−1 respectively. The experimental spectra were compared and discussed in connection with the theoretical spectrum. The VEDA program was implemented to accomplish the vibrational assignments of all the fundamentals highlighted using the PED analysis. TD-DFT level was used to explore the essential electronic properties of LUMO and HOMO energies. To forecast reactive sites, the MEP surface was examined. NBO was computed according to the compound’s reactivity and biological requirements. The Multi-Wave Function Analyzer 3.6 was designed to examine and compare topological inquiries, specifically focusing on the LOL and ELF. The detailed investigation specifies the drug likeness and molecular docking that assisted in the prediction of the physicochemical, pharmacokinetic, and biological availability of 2′,4′-dichloroacetophenone.
采用DFT和Hartree-Fock (HF)方法研究了2′,4′-二氯苯乙酮的结构、光谱和化学反应性。B3LYP和LC DFT (CAM-B3LYP)方法应用于6-311 ++G (d, p)基集组合。对键角和键长进行了深入的评价,以了解几何框架。分别在4000 ~ 400 cm−1范围内对化合物的FT-IR和FT-Raman光谱进行了分析。将实验光谱与理论光谱进行了比较和讨论。吠陀计划的实施是为了完成使用PED分析强调的所有基本原理的振动分配。TD-DFT能级用于探索LUMO和HOMO能量的基本电子性质。为了预测反应位点,对MEP表面进行了检测。根据化合物的反应性和生物需要量计算NBO。Multi-Wave Function Analyzer 3.6设计用于检查和比较拓扑查询,特别关注LOL和ELF。详细的研究规定了药物相似性和分子对接,有助于预测2 ',4 ' -二氯苯乙酮的物理化学,药代动力学和生物利用度。
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引用次数: 0
Phytochemicals of Withania coagulans (Stocks) Dunal against androgen receptor: An in silico insight 凝固剂对雄激素受体的植物化学作用:基于计算机的研究
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103558
Ram Lal Swagat Shrestha , Jhashanath Adhikari Subin

Objectives

The androgen receptor is considered a magic target due to its involvement in multiple pathways leading to several maladies and its accessibility for small molecules to bind to it and modulate its normal functioning. The phytochemicals from the plant, Withania coagulans (Stocks) Dunal (common name: Rishyagandha) with traditional practice in healing different diseases were investigated in this regard. The higher safety profile and cost-effective features of plant-based resources in the design and development of drug like candidates seems to be worthy of exploration in the realm of alternate therapeutic options.

Methods

Several computational methods involving flexible receptor molecular docking calculations and molecular dynamics simulations were carried out. Spatially and thermodynamically stable adducts with best docking scores were identified using various parameters extracted from the molecular dynamics trajectory to find the hit candidates capable of inhibiting or disrupting the normal functioning of the target protein leading to the cure of the disease. The server based ADMET prediction was performed to comprehend the druglikeness, bioavailability, and toxicity profile of different phytochemicals.

Results

The molecule, 24-Methyl-9,19-cyclolanost-25-en-3-ol (PubChem CID: 185036) showed the binding score of −10.726 kcal/mol against androgen receptor (PDB ID: 1E3G) better than that of the native ligand, 17-β-hydroxy-17-methylestra-4,9,11-trien-3-one (PubChem CID: 261000) with −10.268 kcal/mol and selected anticancer drugs (best value of -10.080 kcal/mol for darolutamide). Withacoagulin I (PubChem CID: 71720665) displayed the binding score of −10.108 kcal/mol and was considered the second top molecule. The stability of the protein-phytochemical adducts as calculated from 200 ns long molecular dynamics simulations revealed good geometrical intactness from multiple spatial descriptors (root mean square deviation, radial pair distribution function, and hydrogen bond distribution) and sustained thermodynamical spontaneity from binding free energy changes of the protein-ligand complexes. The pharmacokinetics and pharmacodynamics showed acceptable druglike properties, good bioavailability and safety comparable with that of the reference drugs.

Conclusions

The hit molecules could be considered as possibly capable of inhibiting the target protein that would perform as anticancer agents and are recommended for further experimental trials for the verification of theoretical inferences.
雄激素受体被认为是一个神奇的靶点,因为它参与了导致多种疾病的多种途径,并且小分子可以与它结合并调节它的正常功能。在这方面,研究人员调查了来自植物Withania coagulans (Stocks) Dunal(通用名称:Rishyagandha)的植物化学物质,这些植物具有治疗不同疾病的传统做法。基于植物的资源在设计和开发候选药物方面具有更高的安全性和成本效益特征,似乎值得在替代治疗选择领域进行探索。方法采用柔性受体分子对接计算和分子动力学模拟等计算方法。利用从分子动力学轨迹中提取的各种参数,确定具有最佳对接分数的空间和热力学稳定的加合物,以找到能够抑制或破坏靶蛋白正常功能的候选命中物,从而治愈疾病。采用基于服务器的ADMET预测来了解不同植物化学物质的药物相似性、生物利用度和毒性。结果24-甲基-9,19-环烷醇-25-烯-3-醇(PubChem CID: 185036)对雄激素受体(PDB ID: 1E3G)的结合得分为- 10.726 kcal/mol,优于天然配体17-β-羟基-17-甲基-4,9,11-三烯-1 (PubChem CID: 261000)与选定抗癌药物的结合得分为- 10.268 kcal/mol(达洛鲁胺的最佳值为-10.080 kcal/mol)。Withacoagulin I (PubChem CID: 71720665)的结合分数为−10.108 kcal/mol,被认为是第二大分子。通过200 ns长的分子动力学模拟计算得到的蛋白质-植物化学加合物的稳定性表明,多种空间描述符(均方根偏差、径向对分布函数和氢键分布)具有良好的几何完整性,蛋白质-配体配合物的结合自由能变化具有持续的热力学自发性。其药代动力学和药效学表现出可接受的类药特性,具有良好的生物利用度和与参比药物相当的安全性。结论hit分子可能具有抑制靶蛋白的作用,可作为抗癌药物,建议进一步进行实验验证理论推断。
{"title":"Phytochemicals of Withania coagulans (Stocks) Dunal against androgen receptor: An in silico insight","authors":"Ram Lal Swagat Shrestha ,&nbsp;Jhashanath Adhikari Subin","doi":"10.1016/j.jksus.2024.103558","DOIUrl":"10.1016/j.jksus.2024.103558","url":null,"abstract":"<div><h3>Objectives</h3><div>The androgen receptor is considered a magic target due to its involvement in multiple pathways leading to several maladies and its accessibility for small molecules to bind to it and modulate its normal functioning. The phytochemicals from the plant, Withania coagulans (Stocks) Dunal (common name: Rishyagandha) with traditional practice in healing different diseases were investigated in this regard. The higher safety profile and cost-effective features of plant-based resources in the design and development of drug like candidates seems to be worthy of exploration in the realm of alternate therapeutic options.</div></div><div><h3>Methods</h3><div>Several computational methods involving flexible receptor molecular docking calculations and molecular dynamics simulations were carried out. Spatially and thermodynamically stable adducts with best docking scores were identified using various parameters extracted from the molecular dynamics trajectory to find the hit candidates capable of inhibiting or disrupting the normal functioning of the target protein leading to the cure of the disease. The server based ADMET prediction was performed to comprehend the druglikeness, bioavailability, and toxicity profile of different phytochemicals.</div></div><div><h3>Results</h3><div>The molecule, 24-Methyl-9,19-cyclolanost-25-en-3-ol (PubChem CID: 185036) showed the binding score of −10.726 kcal/mol against androgen receptor (PDB ID: 1E3G) better than that of the native ligand, 17-β-hydroxy-17-methylestra-4,9,11-trien-3-one (PubChem CID: 261000) with −10.268 kcal/mol and selected anticancer drugs (best value of -10.080 kcal/mol for darolutamide). Withacoagulin I (PubChem CID: 71720665) displayed the binding score of −10.108 kcal/mol and was considered the second top molecule. The stability of the protein-phytochemical adducts as calculated from 200 ns long molecular dynamics simulations revealed good geometrical intactness from multiple spatial descriptors (root mean square deviation, radial pair distribution function, and hydrogen bond distribution) and sustained thermodynamical spontaneity from binding free energy changes of the protein-ligand complexes. The pharmacokinetics and pharmacodynamics showed acceptable druglike properties, good bioavailability and safety comparable with that of the reference drugs.</div></div><div><h3>Conclusions</h3><div>The hit molecules could be considered as possibly capable of inhibiting the target protein that would perform as anticancer agents and are recommended for further experimental trials for the verification of theoretical inferences.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103558"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Role of TRAF1 gene polymorphisms in susceptibility to Acute Lymphoblastic Leukemia in Saudi patients TRAF1基因多态性在沙特急性淋巴细胞白血病易感性中的作用
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103582
Fadwa M. Alkhulaifi , Jamilah Alshammari , Hussah M. Alobaid , Fatimah Basil Al-Mukaynizi , Safa A. Alqarzae , Suliman Alomar
Acute Lymphoblastic Leukemia (ALL) is a genetic malignancy characterized by the uncontrolled proliferation of hematopoietic precursor cells and evasion of immune surveillance. This study investigates the association between TRAF1 gene polymorphisms and the risk of developing ALL. Understanding the role of single nucleotide polymorphisms (SNPs) in the TRAF1 gene, which has been previously implicated in various immune-related disorders, may provide valuable insights into the molecular mechanisms of ALL and help identify potential therapeutic targets. A total of 265 subjects were recruited for this study, comprising 150 ALL patients and 115 healthy controls. Genotyping was performed using TaqMan PCR, focusing on four TRAF1 SNPs: rs2239657G/A, rs2416804G/C, rs7021049G/T, and rs3761847G/A. The minor allele frequencies and genotype distributions were compared between groups, with relative risks and statistical differences evaluated. Additionally, TRAF1 mRNA expression levels were assessed in both ALL patients and healthy individuals using qRT-PCR. The results demonstrated a significant association between the TRAF1 rs2239657G/A polymorphism and an increased risk of ALL, while the rs2416804G/C polymorphism was associated with a significantly reduced risk. Notably, TRAF1 was overexpressed in ALL patients, indicating its potential role in the pathogenesis of ALL. This overexpression suggests that TRAF1 may contribute to the interaction between inflammation and oncogenesis, providing new insights into the disease’s progression and highlighting TRAF1 as a possible biomarker for therapeutic intervention.
急性淋巴细胞白血病(Acute Lymphoblastic Leukemia, ALL)是一种遗传性恶性肿瘤,其特征是造血前体细胞不受控制的增殖和逃避免疫监测。本研究探讨TRAF1基因多态性与ALL发病风险之间的关系。了解TRAF1基因中单核苷酸多态性(snp)的作用,可能为了解ALL的分子机制提供有价值的见解,并有助于确定潜在的治疗靶点。TRAF1基因先前与各种免疫相关疾病有关。本研究共招募了265名受试者,其中包括150名ALL患者和115名健康对照。采用TaqMan PCR进行基因分型,重点检测4个TRAF1 snp: rs2239657G/A、rs2416804G/C、rs7021049G/T和rs3761847G/A。比较各组间小等位基因频率和基因型分布,评估相对风险和统计学差异。此外,使用qRT-PCR评估ALL患者和健康个体的TRAF1 mRNA表达水平。结果显示TRAF1 rs2239657G/ a多态性与ALL风险增加之间存在显著关联,而rs2416804G/C多态性与ALL风险显著降低相关。值得注意的是,TRAF1在ALL患者中过表达,表明其在ALL发病机制中的潜在作用。这种过表达表明TRAF1可能有助于炎症和肿瘤发生之间的相互作用,为疾病的进展提供了新的见解,并突出了TRAF1作为治疗干预的可能生物标志物。
{"title":"Role of TRAF1 gene polymorphisms in susceptibility to Acute Lymphoblastic Leukemia in Saudi patients","authors":"Fadwa M. Alkhulaifi ,&nbsp;Jamilah Alshammari ,&nbsp;Hussah M. Alobaid ,&nbsp;Fatimah Basil Al-Mukaynizi ,&nbsp;Safa A. Alqarzae ,&nbsp;Suliman Alomar","doi":"10.1016/j.jksus.2024.103582","DOIUrl":"10.1016/j.jksus.2024.103582","url":null,"abstract":"<div><div>Acute Lymphoblastic Leukemia (ALL) is a genetic malignancy characterized by the uncontrolled proliferation of hematopoietic precursor cells and evasion of immune surveillance. This study investigates the association between TRAF1 gene polymorphisms and the risk of developing ALL. Understanding the role of single nucleotide polymorphisms (SNPs) in the TRAF1 gene, which has been previously implicated in various immune-related disorders, may provide valuable insights into the molecular mechanisms of ALL and help identify potential therapeutic targets. A total of 265 subjects were recruited for this study, comprising 150 ALL patients and 115 healthy controls. Genotyping was performed using TaqMan PCR, focusing on four TRAF1 SNPs: rs2239657G/A, rs2416804G/C, rs7021049G/T, and rs3761847G/A. The minor allele frequencies and genotype distributions were compared between groups, with relative risks and statistical differences evaluated. Additionally, TRAF1 mRNA expression levels were assessed in both ALL patients and healthy individuals using qRT-PCR. The results demonstrated a significant association between the TRAF1 rs2239657G/A polymorphism and an increased risk of ALL, while the rs2416804G/C polymorphism was associated with a significantly reduced risk. Notably, TRAF1 was overexpressed in ALL patients, indicating its potential role in the pathogenesis of ALL. This overexpression suggests that TRAF1 may contribute to the interaction between inflammation and oncogenesis, providing new insights into the disease’s progression and highlighting TRAF1 as a possible biomarker for therapeutic intervention.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103582"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comments on: Effects on magnetic field in squeezing flow of a Casson fluid between parallel plates 评述:卡森流体在平行板间挤压流动对磁场的影响
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-12-01 DOI: 10.1016/j.jksus.2024.103561
Joshua Liam Lam, Christopher C. Tisdell
Ahmed et al. (2017) examined the dynamics of a Casson fluid squeezed between two parallel plates where the fluid was also subjected to a constant magnetic field. Therein they claimed to derive a fourth-order boundary value problem from the general governing equations whose solution could be used to form the fluid’s velocity components. The purpose of the present note is to place the ideas in Ahmed et al. (2017) under scrutiny. In doing so we raise some doubts regarding some of the forms therein.
Ahmed等人(2017)研究了卡森流体在两个平行板之间挤压的动力学,其中流体也受到恒定磁场的影响。他们声称从一般控制方程中推导出一个四阶边值问题,其解可以用来形成流体的速度分量。本说明的目的是将Ahmed et al.(2017)中的想法置于审查之下。在这样做时,我们对其中的一些形式提出了一些怀疑。
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引用次数: 0
Review: Merging from traditional to potential novel breast cancer biomarkers 回顾:从传统乳腺癌生物标记物到潜在新型乳腺癌生物标记物的融合
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-11-24 DOI: 10.1016/j.jksus.2024.103551
Hanan Alismail
Breast cancer biomarkers are the main player in decision-making in diagnosis, prognosis, and treatment. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are well-known in breast cancer management. Additionally, the Ki-67 protein is used as a tumor proliferation indicator to asses the cancer aggressiveness. Recently, the field has been rapidly integrating novel biomarkers to develop precise, personalized with high effectiveness in patient care. A group of merging biomarkers, including genomic and transcriptomic signatures, circulating tumor cells (CTCs), cell-free DNA (cfDNA), tumor-infiltrating lymphocytes (TILs), and immune checkpoint proteins such as PD-L1, all showed promising toward revealing tumor behavior, treatment response, and potential metastatic spread. microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are merging as new potential diagnostic tools. All mentioned merging innovative biomarkers showed promising results, yet challenges remain in their validation, standardization, and integration into routine clinical practice. This review will highlight the transition from traditional to novel strategies, developing more effective treatments that improve breast cancer patients’ outcomes and survival.
乳腺癌生物标志物是诊断、预后和治疗决策的主要依据。雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体 2(HER2)在乳腺癌治疗中是众所周知的。此外,Ki-67 蛋白被用作肿瘤增殖指标,以评估癌症的侵袭性。最近,该领域正在迅速整合新型生物标记物,以开发精确、个性化、高效的患者护理方法。包括基因组和转录组特征、循环肿瘤细胞(CTCs)、无细胞DNA(cfDNA)、肿瘤浸润淋巴细胞(TILs)和免疫检查点蛋白(如PD-L1)在内的一组合并生物标志物都显示出揭示肿瘤行为、治疗反应和潜在转移扩散的前景。所有提到的合并创新生物标志物都显示出良好的效果,但在其验证、标准化和融入常规临床实践方面仍存在挑战。本综述将重点介绍从传统策略到新型策略的转变,从而开发出更有效的治疗方法,改善乳腺癌患者的预后和生存率。
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引用次数: 0
Short-term wind power prediction based on IBOA-AdaBoost-RVM 基于 IBOA-AdaBoost-RVM 的短期风力发电预测
IF 3.7 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2024-11-22 DOI: 10.1016/j.jksus.2024.103550
Yongliang Yuan , Qingkang Yang , Jianji Ren , Kunpeng Li , Zhenxi Wang , Yanan Li , Wu Zhao , Haiqing Liu
This study introduces an innovative model, namely IBOA-AdaBoost-RVM, which leverages the Improved Butterfly Optimization Algorithm (IBOA), Adaptive Boosting (AdaBoost), and Relevance Vector Machine (RVM). This model is used to solve the problem of low precision of wind power prediction. Initially, normalization is applied to reduce the influence of varying data dimensions. Subsequently, input variables are determined through the Pearson correlation method. Lastly, the efficacy of the introduced model is assessed across four distinct seasonal monthly data sets. The observed outcomes indicate that the proposed model outperforms other models in terms of evaluation metrics, with the average R2, RMSE, MAE, and MAPE values across the four datasets being 0.954, 10.403, 7.032, and 0.645, respectively, show that the proposed method has potential in the field of wind power prediction.
本研究介绍了一种创新模型,即 IBOA-AdaBoost-RVM 模型,它利用了改进的蝴蝶优化算法(IBOA)、自适应提升(AdaBoost)和相关性向量机(RVM)。该模型用于解决风能预测精度低的问题。首先,对数据进行归一化处理,以减少不同数据维度的影响。随后,通过皮尔逊相关法确定输入变量。最后,通过四个不同季节的月度数据集对所引入模型的功效进行评估。观察结果表明,所提出的模型在评价指标方面优于其他模型,四个数据集的平均 R2、RMSE、MAE 和 MAPE 值分别为 0.954、10.403、7.032 和 0.645,表明所提出的方法在风力发电预测领域具有潜力。
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引用次数: 0
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