Ovarian Cancer is one of the most common causes of death for women in developing countries. Screening and early diagnoses of OC are urgently needed. Early diagnosis would help in consequence procedures and treatment. Mass spectrometry (MS) data is been used as an effective component of cancer diagnosis tools. However, these valuable data have a large number of dimensions that can affect the learning process in addition to time-consuming considerations. Feature selection plays an important role in reducing information redundancy, and deals with the invalidation that occurs in basic classification algorithms when there are too many features and huge datasets. To improve the automatic system diagnosis accuracy, entropy-based selection features are proposed. These features are combined with the novel learning capabilities of neural networks to achieve higher diagnostic accuracy. Experiments have been performed using different feature selection algorithms and machine learning classification approaches. Experimental results have proved that the proposed system performs better based on the measure of accuracy.
{"title":"Automatic Diagnosis of Ovarian Cancer Based on Relative Entropy and Neural Network","authors":"Zainab Harbi","doi":"10.31185/wjps.172","DOIUrl":"https://doi.org/10.31185/wjps.172","url":null,"abstract":"Ovarian Cancer is one of the most common causes of death for women in developing countries. Screening and early diagnoses of OC are urgently needed. Early diagnosis would help in consequence procedures and treatment. Mass spectrometry (MS) data is been used as an effective component of cancer diagnosis tools. However, these valuable data have a large number of dimensions that can affect the learning process in addition to time-consuming considerations. Feature selection plays an important role in reducing information redundancy, and deals with the invalidation that occurs in basic classification algorithms when there are too many features and huge datasets. To improve the automatic system diagnosis accuracy, entropy-based selection features are proposed. These features are combined with the novel learning capabilities of neural networks to achieve higher diagnostic accuracy. Experiments have been performed using different feature selection algorithms and machine learning classification approaches. Experimental results have proved that the proposed system performs better based on the measure of accuracy.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136336448","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}
In this work we study a new class of equations (Ti+Mi)X=Ui, i=1,2 including the sum two of Hermitian operatorsTi and Mi , i=1,2, concerning the kind of spaces are Hilbert. The existence of joint Hermitian solutions to summing two equations of operators has been found under both necessary and sufficient conditions. The n*1 block's Moore-Penrose inverse of summing two matrix of operators has been studied. Therefore, we present Hermitian solutions of the two equations of operators (Ti+Mi)X(Qi+mi)=Ui, i=1,2 with finding of it’s the necessary and sufficient conditions.
{"title":"The Sum Two of Hermitian Operators Ai=Ti+Mi for Solving the Equations{Ai X=Ui },i=1,2","authors":"Eman Sadiq","doi":"10.31185/wjps.208","DOIUrl":"https://doi.org/10.31185/wjps.208","url":null,"abstract":"In this work we study a new class of equations (Ti+Mi)X=Ui, i=1,2 including the sum two of Hermitian operatorsTi and Mi , i=1,2, concerning the kind of spaces are Hilbert. The existence of joint Hermitian solutions to summing two equations of operators has been found under both necessary and sufficient conditions. The n*1 block's Moore-Penrose inverse of summing two matrix of operators has been studied. Therefore, we present Hermitian solutions of the two equations of operators (Ti+Mi)X(Qi+mi)=Ui, i=1,2 with finding of it’s the necessary and sufficient conditions.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342172","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}
Abstract
In this study, the relationship between obesity and antioxidant enzymes such as superoxide dismutase (SOD), glutathione, and catalase, as well as oxidative stress marker malondialdehyde (MDA) was investigated. The results showed no significant change in SOD serum levels in obese groups compared to healthy groups. However, glutathione and catalase levels were found to be significantly lower in obese individuals. Studies have suggested that reduced glutathione and catalase activity may be associated with insulin resistance and other metabolic abnormalities commonly seen in obesity. In contrast, the current research found no significant correlation between MDA levels and obesity, although some studies have reported a positive correlation between them. Further research is needed to better understand the underlying mechanisms and to investigate potential interventions targeting oxidative stress in the prevention and management of obesity.
Keywords: Glutathione peroxidase, catalase, SOD, MDA, Obesity, antioxidants, oxidants.
{"title":"Obesity in western Iraqi patients: the involvement of glutathione peroxidase, catalase, superoxide dismutase, and malondialdehyde","authors":"None Alaa, None Maryam I. Salman","doi":"10.31185/wjps.211","DOIUrl":"https://doi.org/10.31185/wjps.211","url":null,"abstract":"Abstract 
 In this study, the relationship between obesity and antioxidant enzymes such as superoxide dismutase (SOD), glutathione, and catalase, as well as oxidative stress marker malondialdehyde (MDA) was investigated. The results showed no significant change in SOD serum levels in obese groups compared to healthy groups. However, glutathione and catalase levels were found to be significantly lower in obese individuals. Studies have suggested that reduced glutathione and catalase activity may be associated with insulin resistance and other metabolic abnormalities commonly seen in obesity. In contrast, the current research found no significant correlation between MDA levels and obesity, although some studies have reported a positive correlation between them. Further research is needed to better understand the underlying mechanisms and to investigate potential interventions targeting oxidative stress in the prevention and management of obesity.
 Keywords: Glutathione peroxidase, catalase, SOD, MDA, Obesity, antioxidants, oxidants.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342597","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}
Sameer Qasim Alasadi, Ali Ibrahim Mansour Mansour, Umar Muhammad Abubakar Abubakar
In this paper, the application of the new integral “SUM transfoin the research fields of science and technology is study such as nuclear physics, population growth, electric circuits, pharmacokinetic, beam deflection, Newton’s law of cooling and other fields of mechanics.
{"title":"Applications of the SUM integral transform in science and technology","authors":"Sameer Qasim Alasadi, Ali Ibrahim Mansour Mansour, Umar Muhammad Abubakar Abubakar","doi":"10.31185/wjps.182","DOIUrl":"https://doi.org/10.31185/wjps.182","url":null,"abstract":"In this paper, the application of the new integral “SUM transfoin the research fields of science and technology is study such as nuclear physics, population growth, electric circuits, pharmacokinetic, beam deflection, Newton’s law of cooling and other fields of mechanics.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136341454","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}
Face recognition is a biometric technology that involves identifying and verifying individuals based on their facial features. It finds applications in security, surveillance, and user authentication systems. The extraction of facial image features and classifier selection are more challenging to identify with conventional facial recognition technologies, and the recognition rate is lower. The paper present proposed model combined between deep wavelet scattering transform network regarding the extraction of features and machine learning for classification purposes. The proposed model consists four stage: obtaining images, performing pre-processing, extracting features, and then applying classification techniques. using both SoftMax classifier (part of deep learning model) and Support Vector Machine classifier (SVM). We used property collected dataset called MULB dataset. The experimental result shows that SVM classifier provide better results than SoftMax classifier. The results from the experiments conducted on the MULB face database showcased the efficacy of the suggested face recognition approach. The proposed method achieved an outstanding recognition accuracy of 98.29% with SVM classifier and 97.87% with SoftMax classifier.
{"title":"Face Recognition approach via Deep and Machine Learning","authors":"Ola N. Kadhim","doi":"10.31185/wjps.194","DOIUrl":"https://doi.org/10.31185/wjps.194","url":null,"abstract":"Face recognition is a biometric technology that involves identifying and verifying individuals based on their facial features. It finds applications in security, surveillance, and user authentication systems. The extraction of facial image features and classifier selection are more challenging to identify with conventional facial recognition technologies, and the recognition rate is lower. The paper present proposed model combined between deep wavelet scattering transform network regarding the extraction of features and machine learning for classification purposes. The proposed model consists four stage: obtaining images, performing pre-processing, extracting features, and then applying classification techniques. using both SoftMax classifier (part of deep learning model) and Support Vector Machine classifier (SVM). We used property collected dataset called MULB dataset. The experimental result shows that SVM classifier provide better results than SoftMax classifier. The results from the experiments conducted on the MULB face database showcased the efficacy of the suggested face recognition approach. The proposed method achieved an outstanding recognition accuracy of 98.29% with SVM classifier and 97.87% with SoftMax classifier.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136278216","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}
Widad Kadhim, Dr. Mohammed A. Taha, None Haider D. Abduljabbar
malaria is one of the most severe diseases worldwide. However, the current diagnostic method that involves examining blood smears under a microscope is unreliable and heavily relies on the examiner's expertise. Recent attempts to use deep-learning algorithms for malaria diagnosis have not produced satisfactory results. But, a new CNN-based machine learning model has been proposed in a research paper that can automatically detect and predict infected cells in thin blood smears with 94.63% accuracy. This model accurately accentuates the region of interest for the stained parasite in the images, which increases its reliability, transparency, and comprehensibility, making it suitable for deployment in healthcare settings.
{"title":"Deep Learning for Malaria Diagnosis: Leveraging Convolutional Neural Networks for Accurate Parasite Detection","authors":"Widad Kadhim, Dr. Mohammed A. Taha, None Haider D. Abduljabbar","doi":"10.31185/wjps.205","DOIUrl":"https://doi.org/10.31185/wjps.205","url":null,"abstract":"malaria is one of the most severe diseases worldwide. However, the current diagnostic method that involves examining blood smears under a microscope is unreliable and heavily relies on the examiner's expertise. Recent attempts to use deep-learning algorithms for malaria diagnosis have not produced satisfactory results. But, a new CNN-based machine learning model has been proposed in a research paper that can automatically detect and predict infected cells in thin blood smears with 94.63% accuracy. This model accurately accentuates the region of interest for the stained parasite in the images, which increases its reliability, transparency, and comprehensibility, making it suitable for deployment in healthcare settings.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136278217","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}
Due to the importance of the pancreas gland and its important role of the digestion process, as well as the economic importance of guinea fowl (Numida meleagris). The present study was conducted to study the pancreas histologically in guinea fowl. Samples were taken from the pancreas of (15) healthy adult males of guinea fowl after slaughtering them and separating the pancreas from its appendages. All samples were subjected to histological techniques. In the current study, four types of stains were used when conducting the histological study, which are the Masson trichrome stain, Heamatoxylin and eosin stain, Gomori’s stain and Periodic Acid-Schiff stain. This current study discovered that the pancreas of guinea fowl was parenchymal tissue surrounded by a thin connective tissue capsule. The microscopic examination exhibited the parenchyma tissue of the pancreas was composted of an exocrine portion and an endocrine portion. The exocrine portion forms the largest area of pancreas and consisted of acini and ducting system. The secretory acini vary in shapes and size as globoid, oval, elongated and amorphous, while the exocrine ducts system consisted of intercalated, intralobular, interlobular, and the two major pancreatic ducts, the current study detected that the guinea fowl (Numida meleagris) exhibits the identical structure as other bird species.
由于胰腺的重要性及其在消化过程中的重要作用，以及珍珠鸡(Numida meleagris)的经济重要性。本研究对珍珠鸡胰腺进行了组织学研究。从(15)只健康成年雄性珍珠鸡的胰腺中提取样本，将其屠宰并从其附属物中分离出来。所有样本都进行了组织学检查。在本研究中，进行组织学研究时使用了四种染色方法，分别是Masson三色染色、Heamatoxylin and eosin染色、Gomori’s染色和Periodic Acid-Schiff染色。目前的研究发现，珍珠鸡的胰腺是被薄结缔组织包膜包围的实质组织。显微镜检查显示胰腺实质组织由外分泌部分和内分泌部分组成。外分泌部分构成胰腺的最大区域，由腺泡和导管系统组成。分泌腺泡的形状和大小有球形、椭圆形、细长形和无定形，而外分泌腺管系统由插层、小叶内、小叶间和两大胰管组成，本研究发现珍珠鸡(Numida meleagris)与其他鸟类具有相同的结构。
{"title":"Histological Study of Exocrine Portion of Pancreas in Guinea fowl (Numida meleagris)","authors":"Rawaa Taha, Ali Fayadh Bargooth","doi":"10.31185/wjps.190","DOIUrl":"https://doi.org/10.31185/wjps.190","url":null,"abstract":"Due to the importance of the pancreas gland and its important role of the digestion process, as well as the economic importance of guinea fowl (Numida meleagris). The present study was conducted to study the pancreas histologically in guinea fowl. Samples were taken from the pancreas of (15) healthy adult males of guinea fowl after slaughtering them and separating the pancreas from its appendages. All samples were subjected to histological techniques. In the current study, four types of stains were used when conducting the histological study, which are the Masson trichrome stain, Heamatoxylin and eosin stain, Gomori’s stain and Periodic Acid-Schiff stain. This current study discovered that the pancreas of guinea fowl was parenchymal tissue surrounded by a thin connective tissue capsule. The microscopic examination exhibited the parenchyma tissue of the pancreas was composted of an exocrine portion and an endocrine portion. The exocrine portion forms the largest area of pancreas and consisted of acini and ducting system. The secretory acini vary in shapes and size as globoid, oval, elongated and amorphous, while the exocrine ducts system consisted of intercalated, intralobular, interlobular, and the two major pancreatic ducts, the current study detected that the guinea fowl (Numida meleagris) exhibits the identical structure as other bird species.
","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136278747","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}
The histological structure of the exocrine pancreas was examined in the current study for fifteen healthy adult female Laying hens. The study showed the pancreas was serous tubuloacinar gland, which has both an exocrine and an endocrine component, the parenchyma of the gland was encircled by a thin layer of loose connective tissue capsule. The exocrine part formed of acini (secretory unites) and excretory ducts. In the current study, the shape of the acini were ovoid, rounded or elongated, were lined by a single layer of pyramidal to columnar cells. The duct system started from centroacinar cells and was organized as intercalated ducts, intra lobular ducts, inter lobular ducts, and main pancreatic ducts. The intercalated ducts were lined by single layer of simple squamous, intra lobular ducts was encircled by simple cuboidal cells, interlobular ducts was lined with simple columnar epithelium and the main ducts were lined with simple columnar epithelial cells. The pancreas of Laying hens was identical to other bird species, but with a few minor species.
{"title":"Histological Study of Exocrine part of Pancreas in Laying hens (Gallus gallus domesticus)","authors":"Anfal Hameed","doi":"10.31185/wjps.189","DOIUrl":"https://doi.org/10.31185/wjps.189","url":null,"abstract":"The histological structure of the exocrine pancreas was examined in the current study for fifteen healthy adult female Laying hens. The study showed the pancreas was serous tubuloacinar gland, which has both an exocrine and an endocrine component, the parenchyma of the gland was encircled by a thin layer of loose connective tissue capsule. The exocrine part formed of acini (secretory unites) and excretory ducts. In the current study, the shape of the acini were ovoid, rounded or elongated, were lined by a single layer of pyramidal to columnar cells. The duct system started from centroacinar cells and was organized as intercalated ducts, intra lobular ducts, inter lobular ducts, and main pancreatic ducts. The intercalated ducts were lined by single layer of simple squamous, intra lobular ducts was encircled by simple cuboidal cells, interlobular ducts was lined with simple columnar epithelium and the main ducts were lined with simple columnar epithelial cells. The pancreas of Laying hens was identical to other bird species, but with a few minor species.
","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136337063","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}
Abstract: Emergent therapeutic strategies that merge robust anti-cancer effects with antioxidant attributes are imperative for addressing lung cancer, a prevalent and often fatal ailment. This presentation explores the potential application of Ginkgo biloba silver nanoparticles (GB-AgNPs) and bilobtin as a viable avenue to impede the advancement of lung cancer while concurrently furnishing antioxidative benefits. In the current study, a total of 30 samples were examined from each of the three distinct groups: control, small cell lung cancer, and adenocarcinoma lung cancer. The results of the study indicate that the application of GB-AgNPs and bilobetein led to a significant reduction in elevated protein carbonyl and retinol binding protein (RBP) levels. This suggests that these interventions have the potential to effectively counteract crucial molecular markers linked to the onset and advancement of lung cancer. These findings open up a new and innovative pathway for the development of targeted therapeutic approaches for lung cancer, utilizing natural compounds as potential treatment agents.
{"title":"Novel Investigative Study on the Anticancer Potential of Plant Extracts and Silver Nanoparticles as Inhibitory Agents for Lung Cancer","authors":"Hiba Jumah","doi":"10.31185/wjps.226","DOIUrl":"https://doi.org/10.31185/wjps.226","url":null,"abstract":"Abstract: Emergent therapeutic strategies that merge robust anti-cancer effects with antioxidant attributes are imperative for addressing lung cancer, a prevalent and often fatal ailment. This presentation explores the potential application of Ginkgo biloba silver nanoparticles (GB-AgNPs) and bilobtin as a viable avenue to impede the advancement of lung cancer while concurrently furnishing antioxidative benefits. In the current study, a total of 30 samples were examined from each of the three distinct groups: control, small cell lung cancer, and adenocarcinoma lung cancer. The results of the study indicate that the application of GB-AgNPs and bilobetein led to a significant reduction in elevated protein carbonyl and retinol binding protein (RBP) levels. This suggests that these interventions have the potential to effectively counteract crucial molecular markers linked to the onset and advancement of lung cancer. These findings open up a new and innovative pathway for the development of targeted therapeutic approaches for lung cancer, utilizing natural compounds as potential treatment agents.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136337207","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}
Background: Nephrotoxicity is the adverse effect of substances on renal function .one of These substances is cisplatin. cisplatin (CP) treatment has long been linked to Nephrotoxicity due to oxidative stress mechanisms. Triple omega 3-6-9 is a combination of unsaturated fatty acids (UFAs)With omega-3 (n-3) and omega-6 (n-6) being polyunsaturated fatty acids (PUFAs) and omega-9 (n-9) being a monounsaturated fatty acid (MUFA).
Aim : the reason for this study was to discover if omega-369 fatty acids could protect the kidney from the effects of cisplatin.
Methods: Thirty-five albino male mice were allocated to one of five groups. group 1 received liquid paraffin, group 2 received cisplatin (10 mg/kg) by single intraperitoneal injection, group 3 received omega-369 (50 mg/kg) orally, group 4 received omega-369 (100 mg/kg) orally mice of group 5 received vit E(100 mg/kg) orally The mice were treated with Omega 369, vit e, and liquid paraffin once daily by oral gavage for 7 days
Results: Group 2 had significantly lower levels of glutathione peroxidase and superoxide dismutase than group1, significantly greater levels of malondialdehyde, serum urea nitrogen and serum creatinine (p<0.05) , glutathione peroxidase and superoxide dismutase level significant increase in group3,4 and 5. whereas malondialdehyde, serum urea nitrogen an creatinine levels were significantly decrease in groups 3, 4, and 5 when compared with group 2 (p<0.05).
Conclusion: Omega-369 fatty acids exhibit anti oxidative effects so reduce the risk of cisplatin-induced kidney injury.
{"title":"Evaluation of the Possible anti oxidant Effect of Omega-369 against cisplatin - Induced Nephrotoxicity in mice","authors":"Saja Kareem, None Ali Faris Hassan","doi":"10.31185/wjps.175","DOIUrl":"https://doi.org/10.31185/wjps.175","url":null,"abstract":"Background: Nephrotoxicity is the adverse effect of substances on renal function .one of These substances is cisplatin. cisplatin (CP) treatment has long been linked to Nephrotoxicity due to oxidative stress mechanisms. Triple omega 3-6-9 is a combination of unsaturated fatty acids (UFAs)With omega-3 (n-3) and omega-6 (n-6) being polyunsaturated fatty acids (PUFAs) and omega-9 (n-9) being a monounsaturated fatty acid (MUFA).
 Aim : the reason for this study was to discover if omega-369 fatty acids could protect the kidney from the effects of cisplatin.
 Methods: Thirty-five albino male mice were allocated to one of five groups. group 1 received liquid paraffin, group 2 received cisplatin (10 mg/kg) by single intraperitoneal injection, group 3 received omega-369 (50 mg/kg) orally, group 4 received omega-369 (100 mg/kg) orally mice of group 5 received vit E(100 mg/kg) orally The mice were treated with Omega 369, vit e, and liquid paraffin once daily by oral gavage for 7 days
 Results: Group 2 had significantly lower levels of glutathione peroxidase and superoxide dismutase than group1, significantly greater levels of malondialdehyde, serum urea nitrogen and serum creatinine (p<0.05) , glutathione peroxidase and superoxide dismutase level significant increase in group3,4 and 5. whereas malondialdehyde, serum urea nitrogen an creatinine levels were significantly decrease in groups 3, 4, and 5 when compared with group 2 (p<0.05).
 Conclusion: Omega-369 fatty acids exhibit anti oxidative effects so reduce the risk of cisplatin-induced kidney injury.","PeriodicalId":167115,"journal":{"name":"Wasit Journal of Pure sciences","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136278740","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}
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