{"title":"A Review of Healing Potential of Indian Flora: An Ethnopharmacological Evidence of Wound Healing Activity","authors":"","doi":"10.25163/angiotherapy.819416","DOIUrl":"https://doi.org/10.25163/angiotherapy.819416","url":null,"abstract":"Introduction: Healing a wound involves a complex series of coordinated chemical and cellular events to restore the integrity of skin and underlying tissues. Many people prefer using medicinal plants as an alternative therapy for this purpose globally. Objective: The focal point of the review is based on the ethnopharmacological profiling and validation of plants. The reviewed plants belong to the India region and have promising wound healing activity which has been scientifically proven by in vivo as well as in vitro studies. Numerous phyto extracts and their secondary metabolites are known as promising alternatives for wound healing agents due to the existence of miscellaneous dynamic constituents, ease of access, and their inadequate side effects. Methods: The plant profile was explored from various sources including scientific search engines such as Google Scholar, Niscare repository, Scopus, Pubmed, Sciencedirect, Sci-Finder, and Springer including reports and thesis from Proquest. Keywords such as wound healing property, plant extract, and animal models were employed in combination with the ethnopharmacological claim, pharmacological activity, etc. Conclusion: This review provides comprehensive data from published research work on medicinal plants over 10 years, focusing on wound healing activity and its ethnopharmacological profiling from different tribal belts. This review features the potential of medicinal plants to contribute to drug discovery as a compelling wound healer which may help in the discovery of a new drug molecule with a maximum margin of safety. However further studies are needed such as novel formulation, and target-based drug delivery systems by performing clinical studies for the scientific exploration and validation from laboratory to industry for societal value.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"6 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139523668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review on Health And Quality of Life of Elderly People: A Meta-Analysis from The Medical and Health Sciences","authors":"","doi":"10.25163/angiotherapy.729402","DOIUrl":"https://doi.org/10.25163/angiotherapy.729402","url":null,"abstract":"In response to the increasing aging population, various initiatives aim to enhance the well-being of the elderly by addressing factors like physical and mental health, comorbid conditions, isolation, and relationships. Information and Communication Technology (ICT) systems have been developed to allow seniors to maintain independence, live comfortably at home, and enjoy better overall health. Internet of Things (IoT) systems, in particular, offer continuous remote surveillance, increased social engagement, improved sensory experiences, and support for an active lifestyle. This study proposes a framework for a unified IoT-based Smart Sensor system (IoT-SS) designed to discreetly observe and assist the elderly, complementing the care provided by trained medical professionals. The quality of life is crucial for the elderly, motivating them to stay resilient. The article introduces IoT and its application in improving seniors' health and quality of life in their homes and communities. This review is valuable for medical system developers and programmers working on technology-supported healthcare plans to serve and enhance the lives of the elderly in the future.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"26 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Screening for Oral Cancer Using Brush Biopsies and DNA Image Cytometry - A Review","authors":"","doi":"10.25163/angiotherapy.729410","DOIUrl":"https://doi.org/10.25163/angiotherapy.729410","url":null,"abstract":"For the prompt cytologic diagnosis of oral cancer, non-invasive brush biopsies play a crucial role. Suspicious lesions in patients can be confirmed for malignancy using Deoxyribose Nucleic Acid Image Cytometry (DNAIC), offering a comprehensive diagnostic approach. The enhanced brush biopsy collects diagnostic material across different layers of the damaged epithelium, providing a non-invasive screening method. Despite the limitation of acquiring cells mainly from the superficial and intermediate layers of oral mucosa, DNAIC-DCNN utilizes Deep Convolutional Neural Network (DCNN) for widespread oral cancer detection. Semantic division is performed through the bottom branches, allowing for targeted medication to modify cancer cell features and inhibit proliferation. Targeted drugs, such as Cetuximab, can be used alone or in combination with chemotherapy and radiation treatment for specific patients with oral cancer. The non-invasive and accurate diagnostic capability of DNAIC in conjunction with cytology has demonstrated high precision and accuracy in identifying oral malignant squamous cell transition within epithelial tissues.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evolution of Genes and Transcripts Modifies Drug Sensitivity in Cancer Cell Lines - A Review","authors":"","doi":"10.25163/angiotherapy.729397","DOIUrl":"https://doi.org/10.25163/angiotherapy.729397","url":null,"abstract":"Understanding the genes and transcripts evolving within cancer cell lines is crucial in cancer research and therapy, providing insights into drug sensitivity dynamics. Precision medicine methods need to grasp how genetic changes impact medication responses, considering the challenges of dynamic changes, cancer's heterogeneity, and evolving genomic landscapes. This review introduces a method called dynamic genomic and transcriptomic evolutionary modeling (DG-TEM), systematically profiling cancer cell lines' genomic and transcriptomic landscapes over time. DG-TEM combines experimental data with hypothetical scenarios, creating a framework to predict how genetic evolution may affect drug sensitivity in various clinical situations. This approach enables the identification of potential drug-resistant mutations or pathways before or during treatment. DG-TEM holds significant promise in unraveling the intricate connection between genetic evolution and medication sensitivity, offering implications for personalized cancer care by aiding doctors in selecting medicines tailored to each patient's changing genetic profile. Simulation analysis can further evaluate and enhance the suggested method, providing insights into the potential outcomes of evolutionary dynamics on drug sensitivity. The integration of experimental data and computational predictions has the potential to transform our understanding of cancer development and its impact on medication responses, ushering in a new era of precision oncology.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying Thyroid Dysfunction Using Standard Laboratory Testings – A Systematic Review","authors":"","doi":"10.25163/angiotherapy.729409","DOIUrl":"https://doi.org/10.25163/angiotherapy.729409","url":null,"abstract":"Thyroid dysfunction includes various thyroid-related illnesses, with subclinical hypothyroidism or hyperthyroidism at the initial stage. Blood TSH and T4 levels indicate a neutral ground between clinical conditions. Following guidelines for levothyroxine administration based on thyroid hormonal levels is beneficial for hypothyroid patients. TSH, a measurable signal, is crucial for assessing thyroid activity, with reference ranges determined by testing facilities. However, elevated TSH levels require consideration of the patient's history and lifestyle before intervention. A Machine Learning-based Thyroid Dysfunction Identification (ML-TDI) model was developed to screen individuals for medicinal intervention. Despite its prevalence and health consequences, thyroid dysfunction often goes undiagnosed. The study used standard laboratory data and machine learning algorithms to identify thyroid dysfunction, suggesting the potential for technology-driven screenings during routine medical procedures. However, assessing the benefits and risks of widespread thyroid illness evaluation requires well-conducted randomized trials.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing The Risks, Benefits, and Therapeutic Potential of Cannabis And Cannabinoids in Tumor Therapy - A Review","authors":"","doi":"10.25163/angiotherapy.729401","DOIUrl":"https://doi.org/10.25163/angiotherapy.729401","url":null,"abstract":"Cancer patients dealing with metastatic tumors often turn to Cannabis and cannabinoids to alleviate symptoms and enhance their quality of life. Cannabis is used to address issues like pain, nausea, appetite loss, stress, sleep difficulties, and emotional distress for individuals facing cancer. While cannabinoids, such as CBD, may lead to side effects like fatigue, disorientation, psychological effects, and a dry throat, their usage has surpassed scientific research on both positive and negative effects. This study focuses on developing and validating a Nanotechnology-based methodology (NT-CBD) to measure active components in different Cannabis specimens, including both recreational and drug-type varieties. Fiber-type plant varieties are also examined for non-psychoactive chemicals with potential medicinal and dietary supplement applications. This review paper aims to understand the potential negative impacts of Cannabis and cannabinoids on normal human function, discussing both therapeutic uses for specific medical conditions and potential short-term and long-term adverse effects. Recognizing these effects is crucial, and training healthcare providers to guide cancer patients in the proper use of Cannabis can enhance safety and effectiveness, ensuring optimal symptom relief.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"92 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Epidermal Growth Factor Receptor and Double-Imprinted Nanoparticles for Targeted Cancer Drug Delivery - A Review","authors":"","doi":"10.25163/angiotherapy.729408","DOIUrl":"https://doi.org/10.25163/angiotherapy.729408","url":null,"abstract":"The Epidermal Growth Factor Receptor (EGFR) plays a crucial role in maintaining tissue balance, but in conditions like tumors or lung and skin cancer, it acts as a driver for cancer development. Nanoparticles are effective tools for delivering medications to tumor cells while minimizing drug impact on healthy cells. A potent therapeutic approach involves using nanoparticles with tumor-specific ligands for cancer treatment. This review study focuses on double-imprinted nanoparticles, synthesized to target the estrogen alpha cancer cell receptor's linear epitope and loaded with an anti-cancer drug. The challenge in cancer therapy is delivering drugs specifically to cancer cells without causing adverse effects on healthy cells. Advanced high-throughput technologies generate genomic and epigenomic data, and Support Vector Machine (SVM) classification in cancer genomics identifies new indicators, drug targets, and cancer transport genetics. The EGFR-SVM approach is designed to enhance the selectivity and reduce the toxicity of cytotoxic drugs by targeting cancer cells more specifically. Targeted treatment involves interfering with specific proteins that promote tumor growth and spread, and the study demonstrates a molecularly targeted drug delivery method for efficiently and selectively targeting anticancer drugs to tumor cells overexpressing EGFR. This approach has the potential to improve the therapeutic effectiveness of existing anticancer drugs.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"13 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Menopause-Related Insomnia, Cognitive, Behavioral, and Mindfulness-Based Treatments","authors":"","doi":"10.25163/angiotherapy.729407","DOIUrl":"https://doi.org/10.25163/angiotherapy.729407","url":null,"abstract":"The transition to menopause brings about various symptoms affecting women's quality of life, such as sleep issues and changes in cognition and behavior. Existing treatments face challenges in effectively addressing this complexity. The Menopause-based Treatment Study Framework (MTSF) is introduced as a novel approach to overcome these challenges. Therapeutic options like hormone replacement therapy, pharmaceuticals, cognitive-behavioral therapy for insomnia, and lifestyle adjustments have limitations. The MTSF integrates mindfulness-based therapies into a comprehensive strategy, showing significantly higher scores in various measures, indicating its efficacy in managing menopause-related symptoms, cognitive performance, sleep, and overall well-being. With a high participant involvement and retention rate, the MTSF offers a potentially practical approach to enhance women's well-being during menopause.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"19 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Clinical, Histological, and Immunohistochemical Features of Bone Metastases - A Review","authors":"","doi":"10.25163/angiotherapy.729403","DOIUrl":"https://doi.org/10.25163/angiotherapy.729403","url":null,"abstract":"Malignant tumors can spread differently, and bone metastasis is a complex process starting years before detection. Cancerous cells adhere in bone marrow spaces, growing undetected. Immunohistochemistry helps diagnose, but up to 30% have unidentified bone metastases despite tests and imaging. This review study introduces a deep learning model (DL-BM) to trace bone metastasis genesis, aiding pathologists when biopsy alone is insufficient. Clinicopathological analysis identifies the main carcinoma site in metastases with unclear origins. Thorough histological examinations of bone biopsies are crucial for suspecting the primary cancer. This review emphasizes using bone degradation indicators to identify bone metastases, tracking disease development, and monitoring treatment response.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"12 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predictive Modeling of The Chronic Pain-Induced Depression in Old Adults Based on Music Intervention","authors":"","doi":"10.25163/angiotherapy.729405","DOIUrl":"https://doi.org/10.25163/angiotherapy.729405","url":null,"abstract":"Chronic pain is a prevalent concern for older individuals, often leading to a decline in mental well-being, especially through conditions like depression. This study explores the potential effectiveness of Music Intervention (MI) as a non-pharmacological approach to alleviate depressive symptoms in those experiencing chronic pain. Existing methodologies lack predictive accuracy, prompting the introduction of the Predicting Chronic Pain-based Music Intervention (PCP-MI) model. Utilizing machine learning, the PCP-MI model customizes music treatments based on individual characteristics and preferences, showcasing promising results across various metrics related to pain, anxiety, heart and respiratory rates, pain tolerance, emotional well-being, quality of life, and depression severity. The PCP-MI method demonstrated a mean performance across multiple metrics, encompassing pain intensity (17.75%), anxiety level (27.79%), heart rate (78.30 bpm), respiratory rate (15.90 bpm), pain tolerance threshold (59.37 seconds), emotional well-being (75.56%), quality of life (74.81%), and depression severity (65.27%). This research suggests a promising avenue for enhancing the psychological well-being of a vulnerable group, representing a significant advancement in comprehensive pain treatment approaches.","PeriodicalId":154960,"journal":{"name":"Journal of Angiotherapy","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}