{"title":"An overview of down syndrome","authors":"Suresh Chappa","doi":"10.47957/ijciar.v7i2.174","DOIUrl":"https://doi.org/10.47957/ijciar.v7i2.174","url":null,"abstract":"The most prevalent chromosomal disorder linked to intellectual disability is down syndrome, often known as Down's syndrome (DS), which is marked by a number of distinct clinical symptoms. About 1 in 800 newborns globally experience it. Approximately 500 live births are caused by DS each year in the US, while over 200,000 people are affected by the disorder. The first account of the syndrome dates back to 1866 and is credited to the English physician John Langdon Down of Cornwall. When the chromosomal cause of the disorder was identified more than 90 years later, it was termed Down syndrome. Although there is still inequality in access to health care and other supportive services, the potential for the development and socialization of people with Down syndrome has been more widely recognized, and early support for impacted children and their families is extensively adopted. Patients vary greatly in their phenotypic characteristics; intellectual disability is typically moderate but can be mild to severe, and social function is frequently good in comparison to cognitive impairment. Geographical location and ethnic origin also have an impact on the incidence and presentation of DS.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816989","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":"Mirikizumab as Induction and Maintenance Therapy for Ulcerative Colitis","authors":"Ventakata Raju Cheedarala","doi":"10.47957/ijciar.v7i2.176","DOIUrl":"https://doi.org/10.47957/ijciar.v7i2.176","url":null,"abstract":"A monoclonal antibody called mirikizumab is used to treat ulcerative colitis. It is marketed under the Omvoh brand. It is intended to bind to interleukin-23 (IL-23) and obstruct its function. Upper respiratory tract (nose and throat) infections, headaches, rashes, and injection site responses (when administered by subcutaneous injection) are the most frequent adverse effects. In the United States in October 2023 and the European Union in May 2023, mirikizumab was authorized for medicinal use. For the treatment of people with moderately to highly active ulcerative colitis who have not responded well to, have lost responsiveness to, or are intolerant to either biologic therapy or conventional therapy, mirikizumab is suggested. A subset of people with ulcerative colitis (UC) do not react to currently available medications, despite advancements in UC medical therapy. Many innovative medications have recently acquired regulatory approval for use in UC, or are in the latter stages of development. The novel antibody mirikizumab, which is given intravenously (IV), binds to the inflammatory protein interleukin 23 and inhibits its function, preventing inflammation from being triggered. For individuals with moderately to highly active UC, mirikizumab would therefore provide an additional therapy choice if legalized.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"2 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816277","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":"Significance of Saliva as a Sensor Detector in Marking Oral Cancer","authors":"Tirsa Chebrolu","doi":"10.47957/ijciar.v7i2.175","DOIUrl":"https://doi.org/10.47957/ijciar.v7i2.175","url":null,"abstract":"One of the most deadly forms of cancer is oral cancer. Since the screening methods currently in use are poor, a consistent portion of oral health issues are diagnosed at any late stage. Because existing diagnostic processes are complex and imprecise, it would be imperative to enhance them. The possibility of diagnosis by the discovery of biomarkers from biological fluids. The salivary glands secrete protein, peptides, electrolytes, organic and inorganic salts, and gingival crevicular fluids and mucosal transudates, which contribute in a complementary manner to human whole mouth saliva. This study focuses on biosensors that work at the molecular level, such as DNA, RNA, and protein biosensors, and it discusses tactics that use diverse biosensors to target different types of biomarkers. We also looked at non-invasive electrochemical techniques, optical techniques, and nanobiosensors for analyzing the cancer biomarkers found in bodily fluids including serum and saliva. Consequently, this review clarifies the advancements made in the creation of novel biosensors for the early identification and diagnosis of oral cancer. To clearly clarify the clinical situation, an introduction to oral cancer diagnosis, prognosis, and treatment is provided. Saliva is then offered as an alternative biofluid, along with its benefits, drawbacks, and methods of collection. It is suggested that salivary biomarkers be used as non-invasive diagnostic instruments.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"20 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141817415","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":"Optimization heart disease prediction using independent component analysis and support vector machine","authors":"Abbas Nawar Khalifa","doi":"10.47957/ijciar.v7i1.168","DOIUrl":"https://doi.org/10.47957/ijciar.v7i1.168","url":null,"abstract":"Prediction models play a crucial role in early detection and intervention for cardiac diseases. However, their effectiveness is often hindered by limitations inherent in current methodologies. This paper proposes a novel approach to address these challenges by integrating Independent Component Analysis (ICA) with the Support Vector Machine (SVM) technique. Utilizing a comprehensive Cleveland dataset, our model achieves notable performance metrics, including an accuracy of 90.16%, an Area Under the Curve (AUC) of 96.66%, precision of 90.02%, recall of 90.00%, F1-score of 90.00%, and a minimal log loss of 3.54. Our methodology not only surpasses previous methodologies through extensive comparative analysis but also addresses common constraints identified in existing literature. These limitations encompass insufficient feature representation, overfitting, and a lack of proactive intervention strategies. By amalgamating ICA with SVM, our model enhances feature extraction, mitigates overfitting, and facilitates proactive diagnosis and intervention in individuals suspected of having heart disease. This study underscores the importance of mitigating current literature limitations and underscores the potential of integrating contemporary machine-learning techniques to advance prediction models for heart disease.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"25 S2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715232","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":"Current therapies of urinary tract infections and prevention of multi drug resistance","authors":"Krishna Kumari Balusupati, Srivardhini Sura, Ruchitha Pavani Pinneboina, Venakata Nagaraju. Gorre","doi":"10.47957/ijciar.v7i1.167","DOIUrl":"https://doi.org/10.47957/ijciar.v7i1.167","url":null,"abstract":"Urinary Tract Infections are very severe public health problem and are caused by Escherichia coli, Klebsiella, Proteus, Enterococcus, Pseudomonas, Acinetobacter, Citrobacter and Staphylococcus etc. . Recurrent UTIs and multi drug resistance causes increasing in the economic burden. In this review article we discuss about the pathogens causing UTI, prevalence, current treatment options, multi drug resistance and it’s prevention. For prophylactic management in recurrent UTIs, there are no standard and uniform guidelines . Over use and misuse of the antibiotics leads to drug resistance in the patients. Mostly clinicians use empirical or targeted anti infective agents in the prevention and treatment of UTI along with long term low dose prophylactic antibiotics. However against the growing drug resistance within the uropatgogens, alternative non antibiotic strategies like immuno prophylaxis, estrogen replacement in women are becoming an extremely attractive and reasonable solution in reducing the resistance.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"13 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140434461","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}
Pavani Gayatri Alluri, Saikrishna N, Mohan Gandhi Bonthu
{"title":"In vitro Antioxidant, Cytotoxic, and Anti-Tubercular activities of Cleome gynandrawhole plant extracts","authors":"Pavani Gayatri Alluri, Saikrishna N, Mohan Gandhi Bonthu","doi":"10.47957/ijciar.v6i3.156","DOIUrl":"https://doi.org/10.47957/ijciar.v6i3.156","url":null,"abstract":"The current study investigates the antioxidant, anticancer, and anti-TB characteristics of Cleome gynandra, a traditional medicine herb. The research shows that C. gynandra has significant radical scavenging activity, suggesting it may be a natural antioxidant that can reduce oxidative stress and cancer. Several cell lines were cytotoxic by plant extracts. The ethanol extract had the maximum cytotoxicity against MCF-7 cells, while the diethyl ether extract had the highest against HCT-116 cells. The hexane extract cytotoxically affected HepG2, HCT-116, and L6 cells. The aqueous extract of C. gynandra had the lowest cytotoxicity of the cell lines studied. The cytotoxic effects of C. gynandra extracts were highly selective, especially when targeting MCF-7 and HCT-116 cell lines. The study found that the hexane extract had the strongest anti-tuberculosis (TB) effects, with an IC50 of 1.01 µg/ml. The ethanol extract had a substantially lower IC50 value of 7.599 µg/ml, while the ether extract had an IC50 value of 32.7 µg/ml. Finally, the aqueous extract had the highest IC50 value of 793.3 µg/ml. The results suggest that C. gynandra could be used to generate natural anticancer drugs with fewer side effects. The plant's potential anticancer effect's mechanism needs further in vitro and in vivo research.","PeriodicalId":474394,"journal":{"name":"International Journal of Current Innovations in Advanced Research","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135353313","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}