Introducing effective genes in lymph node metastasis of breast cancer patients using SHAP values based on the mRNA expression data.

OBJECTIVE: Breast cancer, a global concern predominantly impacting women, poses a significant threat when not identified early. While survival rates for breast cancer patients are typically favorable, the emergence of regional metastases markedly diminishes survival prospects. Detecting metastases and comprehending their molecular underpinnings are crucial for tailoring effective treatments and improving patient survival outcomes. METHODS: Various artificial intelligence methods and techniques were employed in this study to achieve accurate outcomes. Initially, the data was organized and underwent hold-out cross-validation, data cleaning, and normalization. Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. Finally, the selected features were considered, and the SHAP algorithm was utilized to identify the most significant features for enhancing the decoding of dominant molecular mechanisms in lymph node metastases. RESULTS: In this study, five main steps were followed for the analysis of mRNA expression data: reading, preprocessing, feature selection, classification, and SHAP algorithm. The RF classifier utilized the candidate mRNAs to differentiate between negative and positive categories with an accuracy of 61% and an AUC of 0.6. During the SHAP process, intriguing relationships between the selected mRNAs and positive/negative lymph node status were discovered. The results indicate that GDF5, BAHCC1, LCN2, FGF14-AS2, and IDH2 are among the top five most impactful mRNAs based on their SHAP values. CONCLUSION: The prominent identified mRNAs including GDF5, BAHCC1, LCN2, FGF14-AS2, and IDH2, are implicated in lymph node metastasis. This study holds promise in elucidating a thorough insight into key candidate genes that could significantly impact the early detection and tailored therapeutic strategies for lymph node metastasis in patients with breast cancer.

A Critical Review on Akkermansia muciniphila: Functional Mechanisms, Technological Challenges, and Safety Issues.

Due to its physiological benefits from in vitro and in vivo points of view, Akkermansia muciniphila, a common colonizer in the human gut mucous layer, has consistently been identified as an option for the next-generation probiotic. A. muciniphila is a significant bacterium that promotes host physiology. However, it also has a great deal of potential to become a probiotic due to its physiological advantages in a variety of therapeutic circumstances. Therefore, it can be established that the abundance of A. muciniphila in the gut environment, which is controlled by many genetic and dietary variables, is related to the biological behaviors of the intestinal microbiota and gut dysbiosis/eubiosis circumstances. Before A. muciniphila is widely utilized as a next-generation probiotic, regulatory obstacles, the necessity for significant clinical trials, and the sustainability of manufacturing must be eliminated. In this review, the outcomes of recent experimental and clinical reports are comprehensively reviewed, and common colonization patterns, main factors involved in the colonization of A. muciniphila in the gut milieu, their functional mechanisms in establishing homeostasis in the metabolic and energy pathways, the promising delivery role of microencapsulation, potential genetic engineering strategies, and eventually safety issues of A. muciniphila have been discussed.

Effect of Curcumin on the Head and Neck Squamous Cell Carcinoma Cell Line HN5.

BACKGROUND: Curcumin has been isolated from the rhizomes of Curcuma longa. Over the years, it has shown outstanding therapeutic potential in various human disorders, including cancers. OBJECTIVE: The aim is to study curcumin's effects on the apoptosis signaling pathway in the head and neck squamous cell carcinoma (HNSCC) cell line HN5. METHODS: The cytotoxicity of curcumin on HN5 cells were assessed. In addition, HN5 cells were also treated with curcumin to evaluate its effect on the caspase-8, -9, Bcl-2, Bax, and Stat3 gene expressions. RESULTS: The results exhibited that cell viability reduced following curcumin treatment in a concentration- dependent manner. Curcumin treatment caused decreased expression of Bcl2, with simultaneous upregulation of the Bax/Bcl2 ratio. Curcumin increased caspase-9 expression, did not affect caspase-8, and decreased Stat3 expression. The induction of the mitochondria-dependent apoptosis pathway of curcumin happened by modulating the expression of Bcl2 and Bax genes, resulting in the caspase-9 activation. Furthermore, curcumin decreased the expression of the Stat3 in HN-5 cells. CONCLUSIONS: In conclusion, curcumin showed marked anticancer effects in the HN-5 cell line by modulating Stat-3; Bax/Bcl-2 expression in vitro.

Application of Collagen and Mesenchymal Stem Cells in Regenerative Dentistry.

Collagen is an important macromolecule of Extracellular Matrix (ECM) in bones, teeth, and temporomandibular joints. Mesenchymal Stem Cells (MSCs) interact with the components of the ECM such as collagen, proteoglycans, Glycosaminoglycans (GAGs), and several proteins on behalf of variable matrix elasticity and bioactive cues. Synthetic collagen-based biomaterials could be effective scaffolds for regenerative dentistry applications due to mimicking of host tissues' ECM. These biomaterials are biocompatible, biodegradable, readily available, and non-toxic to cells whose capability promotes cellular response and wound healing in the craniofacial region. Collagen could incorporate other biomolecules to induce mineralization in calcified tissues like bone and tooth. Moreover, the addition of these molecules or other polymers to collagen-based biomaterials could enhance mechanical properties, which is important in load-bearing areas such as the mandible. A literature review was performed via a reliable internet database (mainly PubMed) based on MeSH keywords. This review first describes the properties of collagen as a key protein in the structure of hard tissues. Then, it introduces different types of collagens, the correlation between collagen and MSCs, and the methods used to modify collagen in regenerative dentistry, including recent progression on the regeneration of periodontium, dentin-pulp complex, and temporomandibular joint by applying collagen. The prospects and challenges of collagen-based biomaterials in the craniofacial region are pointd out.