Background: The wastewater disposal into the water bodies without removing the toxic heavy metals and other industrial impurities is a major issue these days. These heavy metals cause serious health issues to the human and animal life and also harm the environment and reduce the productivity of crops. A potent microorganism resistant to hexavalent chromium was isolated. The activity of this isolated strain was analyzed using in silico studies. Methods: In this study, a chromium-resistant fungus was isolated from the soil of the dumping sites of the tanneries in Kanpur, UP, India, followed by isolation by serial dilution, plating method, and finally, genome sequencing. It was identified as Aspergillus proliferans LA that is submitted to the National Collection for Industrial Microorganisms (NCIM) database with accession no. NCIM-1473. In the current study, the comparative analysis of the protein sequence of A. proliferans (NCIM-1473) was done against the known 53 protein sequences of the fungus and bacterial strains already reported for their chromium-resistant nature. The physical and chemical parameters of the known and isolated chromium-resistant proteins were analyzed using the ProtParam tool. The comparative study on the sequence and structural alignment of known and isolated chromium-resistant protein was done using EMBOSS-NEEDLE and FATCAT, respectively. Results: In this analysis, the top 10 strains showing similarity with A. proliferans (NCIM-1473) were reported and among which ChrI, chromium regulatory protein Cupriavidus metallidurans CH34 was showing maximum similarity with isolated chromium resistant protein for all the analysis, namely ProtParam, sequence, and FATCAT analysis. This strain, Cupriavidus metallidurans CH34, has been reported resistant against eight heavy metals, one of which is chromate, and was first identified in the heavy-metal contaminated sludge in a settling tank of Belgium. Conclusion: These studies conclude that the strain isolated in our laboratory (accession no. NCIM-1473) is potentially chromium resistant and a unique strain.
{"title":"Insight into biosorption of hexavalent chromium using isolated species Aspergillus Proliferans LA: A systemic and In silico studies","authors":"Abhimati Shukla, L. Singh","doi":"10.4103/bbrj.bbrj_7_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_7_23","url":null,"abstract":"Background: The wastewater disposal into the water bodies without removing the toxic heavy metals and other industrial impurities is a major issue these days. These heavy metals cause serious health issues to the human and animal life and also harm the environment and reduce the productivity of crops. A potent microorganism resistant to hexavalent chromium was isolated. The activity of this isolated strain was analyzed using in silico studies. Methods: In this study, a chromium-resistant fungus was isolated from the soil of the dumping sites of the tanneries in Kanpur, UP, India, followed by isolation by serial dilution, plating method, and finally, genome sequencing. It was identified as Aspergillus proliferans LA that is submitted to the National Collection for Industrial Microorganisms (NCIM) database with accession no. NCIM-1473. In the current study, the comparative analysis of the protein sequence of A. proliferans (NCIM-1473) was done against the known 53 protein sequences of the fungus and bacterial strains already reported for their chromium-resistant nature. The physical and chemical parameters of the known and isolated chromium-resistant proteins were analyzed using the ProtParam tool. The comparative study on the sequence and structural alignment of known and isolated chromium-resistant protein was done using EMBOSS-NEEDLE and FATCAT, respectively. Results: In this analysis, the top 10 strains showing similarity with A. proliferans (NCIM-1473) were reported and among which ChrI, chromium regulatory protein Cupriavidus metallidurans CH34 was showing maximum similarity with isolated chromium resistant protein for all the analysis, namely ProtParam, sequence, and FATCAT analysis. This strain, Cupriavidus metallidurans CH34, has been reported resistant against eight heavy metals, one of which is chromate, and was first identified in the heavy-metal contaminated sludge in a settling tank of Belgium. Conclusion: These studies conclude that the strain isolated in our laboratory (accession no. NCIM-1473) is potentially chromium resistant and a unique strain.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46746078","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}
Pub Date : 2023-01-01DOI: 10.4103/bbrj.bbrj_344_22
K. Ashwini, Pavan Gollapalli, S. Shetty, A. Raghotham, P. Shetty, Jayaprakash Shetty, N. Kumari
Background: Glioblastoma (GBM) is the most malignant and accounts for 60% of brain tumors in adults. Current therapy for GBM involves surgical removal of the tumor followed by radiotherapy with concomitant adjuvant therapy temozolomide. Despite improvements in therapy, patient survival remains low. The exact etiology of a brain tumor is uncertain, and numerous unknown genes are involved in the progression of GBM. The aim of the present study was to evaluate various genes involved in GBM through bioinformatic approach. Methods: In the present study, gene expression profile of GSE68424 was retrieved from the GEO database to explore the genes in GBM. Results: Analysis of expression profile data revealed that 33 genes were upregulated and 1189 genes were downregulated based on the log2 fold change cut-off criteria. The genes S-Phase kinase-associated protein 1 (SKP1) and Catenin beta-1 (CTNNB1) have been linked to GBM prognosis. Conclusion: SKP1 and CTNNB1 were identified as a candidate gene for GBM study as a result of these findings. Catenin beta-1 was the protein with the highest closeness centrality value and is the key component of canonical Wnt signaling downstream pathway. More study is needed to establish the molecular function of SKP1 and CTNNB1 in GBM development, as well as the biomarker's specificity and sensitivity.
{"title":"Gene enrichment analysis and protein–protein interaction network topology delineates S-Phase kinase-associated protein 1 and catenin beta-1 as potential signature genes linked to glioblastoma prognosis","authors":"K. Ashwini, Pavan Gollapalli, S. Shetty, A. Raghotham, P. Shetty, Jayaprakash Shetty, N. Kumari","doi":"10.4103/bbrj.bbrj_344_22","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_344_22","url":null,"abstract":"Background: Glioblastoma (GBM) is the most malignant and accounts for 60% of brain tumors in adults. Current therapy for GBM involves surgical removal of the tumor followed by radiotherapy with concomitant adjuvant therapy temozolomide. Despite improvements in therapy, patient survival remains low. The exact etiology of a brain tumor is uncertain, and numerous unknown genes are involved in the progression of GBM. The aim of the present study was to evaluate various genes involved in GBM through bioinformatic approach. Methods: In the present study, gene expression profile of GSE68424 was retrieved from the GEO database to explore the genes in GBM. Results: Analysis of expression profile data revealed that 33 genes were upregulated and 1189 genes were downregulated based on the log2 fold change cut-off criteria. The genes S-Phase kinase-associated protein 1 (SKP1) and Catenin beta-1 (CTNNB1) have been linked to GBM prognosis. Conclusion: SKP1 and CTNNB1 were identified as a candidate gene for GBM study as a result of these findings. Catenin beta-1 was the protein with the highest closeness centrality value and is the key component of canonical Wnt signaling downstream pathway. More study is needed to establish the molecular function of SKP1 and CTNNB1 in GBM development, as well as the biomarker's specificity and sensitivity.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43413757","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: The progression and metastasis of non small cell lung cancer (NSCLC) are considered a very complex process as it involves aberrations of multiple genes and cellular pathways. Genes which are differentially expressed in NSCLC have multi interactions with other genes, which can promote the carcinogenesis. To improve diagnosis and treatment of NSCLC, it is vitally important to study these interactions and understand their roles in the molecular mechanism of NSCLC. As the need to find more potential targets for NSCLC is very paramount we have predicted very important interactions for NSCLC. Methods: In our study, some NSCLC specific genes were differentially identified from microarray datasets and text mining of SCLC and NSCLC abstracts. The expression of these genes has been seen in 8 different cancer types and NSCLC stages. A network of genes specific to NSCLC has been identified and interactions of these NSCLC specific genes have been studied. Results: We found two network modules joined through erb b2 receptor tyrosine kinase 2 (ERBB2) in NSCLC i.e. network of genes growth factor receptor bound protein 7 (GRB7), StAR related lipid transfer domain containing 3, post GPI attachment to proteins 3 and migration and invasion enhancer 1 ERBB2 interacting with GRB7 and PAK1 using GIANT. In normal lungs, ERBB2 is strongly interacting with PAK1 and in NSCLC it has strong interaction with GRB7. Conclusion: We have found that ERBB2 and GRB7 interaction is a transforming connection between normal lung and NSCLC.
{"title":"Erb-b2 receptor tyrosine kinase 2 interaction with growth factor receptor bound protein 7 acts as a molecular switch to activate non-small cell lung cancer: An in silico prediction","authors":"A. Chauhan, S. Kalra","doi":"10.4103/bbrj.bbrj_26_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_26_23","url":null,"abstract":"Background: The progression and metastasis of non small cell lung cancer (NSCLC) are considered a very complex process as it involves aberrations of multiple genes and cellular pathways. Genes which are differentially expressed in NSCLC have multi interactions with other genes, which can promote the carcinogenesis. To improve diagnosis and treatment of NSCLC, it is vitally important to study these interactions and understand their roles in the molecular mechanism of NSCLC. As the need to find more potential targets for NSCLC is very paramount we have predicted very important interactions for NSCLC. Methods: In our study, some NSCLC specific genes were differentially identified from microarray datasets and text mining of SCLC and NSCLC abstracts. The expression of these genes has been seen in 8 different cancer types and NSCLC stages. A network of genes specific to NSCLC has been identified and interactions of these NSCLC specific genes have been studied. Results: We found two network modules joined through erb b2 receptor tyrosine kinase 2 (ERBB2) in NSCLC i.e. network of genes growth factor receptor bound protein 7 (GRB7), StAR related lipid transfer domain containing 3, post GPI attachment to proteins 3 and migration and invasion enhancer 1 ERBB2 interacting with GRB7 and PAK1 using GIANT. In normal lungs, ERBB2 is strongly interacting with PAK1 and in NSCLC it has strong interaction with GRB7. Conclusion: We have found that ERBB2 and GRB7 interaction is a transforming connection between normal lung and NSCLC.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70695958","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}
Pub Date : 2023-01-01DOI: 10.4103/bbrj.bbrj_301_22
R. Mungmunpuntipantip, V. Wiwanitkit
Background: The global pandemic of coronavirus disease-2019 (COVID-19) is still spreading. As a result, rapid, simple, and accurate diagnostics to diagnose severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection are urgently needed. For the diagnosis of COVID-19 cases, the performance characteristics of the quick SARS-CoV-2 antigen detection test should be investigated and compared to the gold standard real-time reverse transcription-polymerase chain reaction (RT-PCR) test. The utility of the antigen detection test is reported from field evaluation. However, an interesting concern is on the utility of the test. Methods: Here, the authors perform a cost utility analysis to appraise rapid SARS-CoV-2 antigen detection assay in comparison versus real-time RT-PCR assay for laboratory diagnosis of COVID-19. Results: According to the analysis, the cost per utility of rapid SARS-CoV-2 antigen detection assay is 3.24 times less than that of comparison versus real-time RT-PCR assay. Conclusion: Hence, it can conclude that rapid SARS-CoV-2 antigen detection assay is appropriate for using for diagnosis of COVID-19 in term of cost–utility.
{"title":"Cost–Utility analysis for rapid severe acute respiratory syndrome-coronavirus-2 antigen detection assay in comparison versus real-time reverse transcription-polymerase chain reaction assay for laboratory diagnosis of coronavirus disease -2019","authors":"R. Mungmunpuntipantip, V. Wiwanitkit","doi":"10.4103/bbrj.bbrj_301_22","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_301_22","url":null,"abstract":"Background: The global pandemic of coronavirus disease-2019 (COVID-19) is still spreading. As a result, rapid, simple, and accurate diagnostics to diagnose severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection are urgently needed. For the diagnosis of COVID-19 cases, the performance characteristics of the quick SARS-CoV-2 antigen detection test should be investigated and compared to the gold standard real-time reverse transcription-polymerase chain reaction (RT-PCR) test. The utility of the antigen detection test is reported from field evaluation. However, an interesting concern is on the utility of the test. Methods: Here, the authors perform a cost utility analysis to appraise rapid SARS-CoV-2 antigen detection assay in comparison versus real-time RT-PCR assay for laboratory diagnosis of COVID-19. Results: According to the analysis, the cost per utility of rapid SARS-CoV-2 antigen detection assay is 3.24 times less than that of comparison versus real-time RT-PCR assay. Conclusion: Hence, it can conclude that rapid SARS-CoV-2 antigen detection assay is appropriate for using for diagnosis of COVID-19 in term of cost–utility.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43532686","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}
Pub Date : 2023-01-01DOI: 10.4103/bbrj.bbrj_341_22
R. S. Sabeenian, K. Sree Janani
Background: The abnormalities in the heart rhythm result in various cardiac issues affecting the normal functioning of the heart. Early diagnosis helps prevent serious outcomes and to treat them effectively. This work focuses on classifying the various abnormalities with the changes in the heart rhythm and demographic data. The pretrained convolution neural network models classify the wavelet scattered data of different arrhythmic electrocardiograms (ECGs). Methods: The ECG signals of different anomalies from the PhysioNet database are re-sampled and segmented. The sampling is done using the linear interpolation method, which estimates values between the sample points based on nearby data points. The inter-dependence variances among the data points were extracted using wavelet scattering. The one-dimensional (1D) signal data are converted into 2D scalogram images using continuous wavelet transform. Pretrained deep learning models are used to extract features from the scalogram images and classify using a support vector machine classifier. The classification results are analyzed using various performance metrics such as precision, specificity, recall, F-measure, and accuracy. The relationship between the model performance and network depth and learnables is analyzed. Results: The classification results show that the ResNet18 achieves higher accuracy of 98.81% for raw data and 97.05% for wavelet scattered data. No dependency exists between the model depth, network parameters, and performance. The ResNet18 model achieves higher precision, recall, specificity, and F-measure values of 96.49%, 96.42%, 98.24%, and 96.45%, respectively, for wavelet scattered data. Conclusions: The ResNet18 achieves generalized results in classifying dimensionality-reduced data with reduced computational cost and high accuracy. The DenseNet model achieves higher performance metrics for raw data, whereas the ResNet18 model achieves higher performance metrics for wavelet scattered data.
{"title":"Transfer learning-based electrocardiogram classification using wavelet scattered features","authors":"R. S. Sabeenian, K. Sree Janani","doi":"10.4103/bbrj.bbrj_341_22","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_341_22","url":null,"abstract":"Background: The abnormalities in the heart rhythm result in various cardiac issues affecting the normal functioning of the heart. Early diagnosis helps prevent serious outcomes and to treat them effectively. This work focuses on classifying the various abnormalities with the changes in the heart rhythm and demographic data. The pretrained convolution neural network models classify the wavelet scattered data of different arrhythmic electrocardiograms (ECGs). Methods: The ECG signals of different anomalies from the PhysioNet database are re-sampled and segmented. The sampling is done using the linear interpolation method, which estimates values between the sample points based on nearby data points. The inter-dependence variances among the data points were extracted using wavelet scattering. The one-dimensional (1D) signal data are converted into 2D scalogram images using continuous wavelet transform. Pretrained deep learning models are used to extract features from the scalogram images and classify using a support vector machine classifier. The classification results are analyzed using various performance metrics such as precision, specificity, recall, F-measure, and accuracy. The relationship between the model performance and network depth and learnables is analyzed. Results: The classification results show that the ResNet18 achieves higher accuracy of 98.81% for raw data and 97.05% for wavelet scattered data. No dependency exists between the model depth, network parameters, and performance. The ResNet18 model achieves higher precision, recall, specificity, and F-measure values of 96.49%, 96.42%, 98.24%, and 96.45%, respectively, for wavelet scattered data. Conclusions: The ResNet18 achieves generalized results in classifying dimensionality-reduced data with reduced computational cost and high accuracy. The DenseNet model achieves higher performance metrics for raw data, whereas the ResNet18 model achieves higher performance metrics for wavelet scattered data.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42136549","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: Around the world, the number of people with diabetes is rising at an alarming rate, and experts have been using ancient drugs that are mostly made from plants as treatments.This study aimed to see if Borassus flabellifer L. palm sprout ethanolic extracts could help treat diabetes in rats made diabetic by streptozotocin (STZ). Methods: STZ (45 mg/kg bw) was injected once into the peritoneum of male albino Wistar rats. This caused them to get diabetes. For 60 days, intragastric intubation was used to give diabetic rats B. flabellifer palm sprout ethanolic extracts (400 mg/kg bw) and glibenclamide (1 mg/kg bw). Results: As a result, the rats lost a lot of weight, their blood sugar and glycosylated hemoglobin levels went up, and their total hemoglobin (Hb) levels went down. Furthermore, glucose-6-phosphatase and fructose-1,6-bis phosphatase were higher in rats made diabetic by STZ, while hexokinase and glycogen levels were lower. When diabetic rats were given ethanolic extracts of B. flabellifer palm sprouts and glibenclamide, their blood glucose and glycosylated Hb levels went down very well, and their Hb levels went up. Changes in how enzymes that break down carbohydrates and liver glycogen work were greatly improved. Conclusion: The results of the ethanolic extracts of B. flabellifer palm sprouts were similar to those of the standard drug glibenclamide. The results of this study back up the traditional use of plant extracts to treat diabetes.
{"title":"Antidiabetic effect of Borassus flabellifer L. extracts on streptozotocin-induced diabetic rats","authors":"A. Peter, Nargis Tajudheen, Senthil Ramamoorthy","doi":"10.4103/bbrj.bbrj_4_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_4_23","url":null,"abstract":"Background: Around the world, the number of people with diabetes is rising at an alarming rate, and experts have been using ancient drugs that are mostly made from plants as treatments.This study aimed to see if Borassus flabellifer L. palm sprout ethanolic extracts could help treat diabetes in rats made diabetic by streptozotocin (STZ). Methods: STZ (45 mg/kg bw) was injected once into the peritoneum of male albino Wistar rats. This caused them to get diabetes. For 60 days, intragastric intubation was used to give diabetic rats B. flabellifer palm sprout ethanolic extracts (400 mg/kg bw) and glibenclamide (1 mg/kg bw). Results: As a result, the rats lost a lot of weight, their blood sugar and glycosylated hemoglobin levels went up, and their total hemoglobin (Hb) levels went down. Furthermore, glucose-6-phosphatase and fructose-1,6-bis phosphatase were higher in rats made diabetic by STZ, while hexokinase and glycogen levels were lower. When diabetic rats were given ethanolic extracts of B. flabellifer palm sprouts and glibenclamide, their blood glucose and glycosylated Hb levels went down very well, and their Hb levels went up. Changes in how enzymes that break down carbohydrates and liver glycogen work were greatly improved. Conclusion: The results of the ethanolic extracts of B. flabellifer palm sprouts were similar to those of the standard drug glibenclamide. The results of this study back up the traditional use of plant extracts to treat diabetes.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47828742","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: Chronic kidney failure (CRF) is characterized by a progressive loss of functional status over weeks or months, which may result in one of the illness's recognized consequences, such as cardiovascular disease, chest pain, or anemia. CRF has been generally understood as a worldwide public health problem and a big factor to death and morbidity during the previous decade. Methods: Determination of zinc and copper, urea, creatinine, total protein, globulin, alanine aminotransferase (ALT), albumin, aspartate aminotransferase (AST), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) in (CRF) Iraqi patients. This study included (40) patients and (38) healthy subjects as control. Samples were collected from January to April (2022). The biochemical parameters were determined using spectrophotometrically, but zinc and copper were determined by atomic absorption spectrophotometer. Results: Copper, urea, creatinine, ALP, AST, ALT, and LDH were significantly higher in CRF patients, whereas zinc, total protein, albumin, and globulin were lower in CRF patients as compared with control. The research also concerned study the relation between sex (male and female) and biochemical parameters which showed significant differences in comparison male of patients with males of control, yet globulin showed nonsignificant differences. While patients and control females showed nonsignificant differences. Conclusions: LDH in CRF patients might be used as a biomarker to detect renal dysfunction in dialysis patients at an early point, and blood serum Zn deficit in CRF. Furthermore, a relationship among Zn and albumin amounts was discovered. As a result, Zn and copper in CRF, particularly hypoalbuminemia, must be frequently evaluated and adjusted.
{"title":"Changes in the level of zinc and copper and some biochemical parameters in patients with chronic kidney failure","authors":"O. Hameed, Sukayna Rashed, L. Al-Helaly","doi":"10.4103/bbrj.bbrj_22_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_22_23","url":null,"abstract":"Background: Chronic kidney failure (CRF) is characterized by a progressive loss of functional status over weeks or months, which may result in one of the illness's recognized consequences, such as cardiovascular disease, chest pain, or anemia. CRF has been generally understood as a worldwide public health problem and a big factor to death and morbidity during the previous decade. Methods: Determination of zinc and copper, urea, creatinine, total protein, globulin, alanine aminotransferase (ALT), albumin, aspartate aminotransferase (AST), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) in (CRF) Iraqi patients. This study included (40) patients and (38) healthy subjects as control. Samples were collected from January to April (2022). The biochemical parameters were determined using spectrophotometrically, but zinc and copper were determined by atomic absorption spectrophotometer. Results: Copper, urea, creatinine, ALP, AST, ALT, and LDH were significantly higher in CRF patients, whereas zinc, total protein, albumin, and globulin were lower in CRF patients as compared with control. The research also concerned study the relation between sex (male and female) and biochemical parameters which showed significant differences in comparison male of patients with males of control, yet globulin showed nonsignificant differences. While patients and control females showed nonsignificant differences. Conclusions: LDH in CRF patients might be used as a biomarker to detect renal dysfunction in dialysis patients at an early point, and blood serum Zn deficit in CRF. Furthermore, a relationship among Zn and albumin amounts was discovered. As a result, Zn and copper in CRF, particularly hypoalbuminemia, must be frequently evaluated and adjusted.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45721669","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}
Shafia Arshad, Amina Arif, M. Shakeel, Memoona Zahra, Romana Mehwish, Amna Riaz, F. Hadi
Background: For the diagnosis of cervical lymphadenopathy, an open biopsy is recommended. When compared to open biopsy, fine-needle aspiration cytology (FNAC) is considered safe, less invasive, and cost-effective. However, its diagnostic efficacy remains in debates. This study was conducted to know that how accurately FNAC can detect the pathology as compared to an open biopsy. The purpose of this study was to assess the diagnostic efficacy of FNAC versus open biopsy in the diagnosis of cervical lymphadenopathy. Methods: It is a comparative study at Lahore General Hospital, Lahore, for 6 months. The study comprised 100 patients who had been diagnosed with chronic cervical lymphoma. All of the patients underwent FNAC, which was followed by an open biopsy. Calculating the sensitivity, specificity, and diagnostic accuracy of each technique was used to determine the diagnostic efficacy of the both techniques. Results: FNAC had a sensitivity and specificity of 92% overall. Non-Hodgkin's lymphoma, tuberculosis, Hodgkin's lymphoma, metastatic carcinoma, reactive hyperplasia, and chronic nonspecific lymphadenopathy had a diagnostic accuracy of 96.2%, 85.7%, 100%, 87.5%, 100%, and 100%, respectively. Conclusions: In the management of cervical lymphadenopathy, FNAC is a reliable and safe procedure with a high diagnostic efficacy. It should be used as the first line of examination.
{"title":"Fine-needle aspiration cytology versus open biopsy for the diagnosis of chronic cervical lymphadenopathy","authors":"Shafia Arshad, Amina Arif, M. Shakeel, Memoona Zahra, Romana Mehwish, Amna Riaz, F. Hadi","doi":"10.4103/bbrj.bbrj_6_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_6_23","url":null,"abstract":"Background: For the diagnosis of cervical lymphadenopathy, an open biopsy is recommended. When compared to open biopsy, fine-needle aspiration cytology (FNAC) is considered safe, less invasive, and cost-effective. However, its diagnostic efficacy remains in debates. This study was conducted to know that how accurately FNAC can detect the pathology as compared to an open biopsy. The purpose of this study was to assess the diagnostic efficacy of FNAC versus open biopsy in the diagnosis of cervical lymphadenopathy. Methods: It is a comparative study at Lahore General Hospital, Lahore, for 6 months. The study comprised 100 patients who had been diagnosed with chronic cervical lymphoma. All of the patients underwent FNAC, which was followed by an open biopsy. Calculating the sensitivity, specificity, and diagnostic accuracy of each technique was used to determine the diagnostic efficacy of the both techniques. Results: FNAC had a sensitivity and specificity of 92% overall. Non-Hodgkin's lymphoma, tuberculosis, Hodgkin's lymphoma, metastatic carcinoma, reactive hyperplasia, and chronic nonspecific lymphadenopathy had a diagnostic accuracy of 96.2%, 85.7%, 100%, 87.5%, 100%, and 100%, respectively. Conclusions: In the management of cervical lymphadenopathy, FNAC is a reliable and safe procedure with a high diagnostic efficacy. It should be used as the first line of examination.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46394101","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}
M. Sannathimmappa, Vinod Nambiar, R. Aravindakshan, M. Baig, A. Hassan, Maryam Al-Balushi
Background: Immunization against severe acute respiratory syndrome coronavirus 2 became necessary to control the menace of COVID-19. However, the safety of COVID-19 vaccines must be monitored continuously. The present study aims at comparing the effectiveness and adverse effects of Pfizer and AstraZeneca vaccines among the cohort of medical students. Methods: It was a single-cohort comparative study, and the data were collected using an online survey from participants who took at least two doses of AstraZeneca or Pfizer vaccines. The data included demography, breakthrough infections, and adverse effects following vaccination. Bivariate and logistic regression models were used to find associations between effectiveness and independent variables. Statistical significance was considered at P < 0.05. Results: In total, 115 students who had received Pfizer or AstraZeneca vaccines were included in the study. The mean age of the participants was 21.52. Female (n = 90) participants were more compared to males (n = 25). The majority of them received Pfizer vaccine (95), while AstraZeneca was received by only 20 participants. Overall effectiveness of both AstraZeneca and Pfizer was nearly 85%, while almost 100% protection was observed among those who were vaccinated after contracting the disease. Logistic regression revealed an independent effect of COVID-19 before any vaccination dose offered 66% protection against any subsequent breakthroughs (odds ratio 0.44, 95% confidence interval [CI]: 0.095–2.08). At least one adverse effect was reported by 96 (83.5%) participants (95% CI: 75.4%–89.75%). Pain at the site of injection, fever, generalized weakness, and headache were the most common adverse effects. Fever (P < 0.001), body ache (P < 0.001), generalized weakness (P = 0.002), and joint pain (P = 0.014) were significantly more common in AstraZeneca as compared to Pfizer. Conclusion: Coronavirus vaccines were well tolerated, safe, and induced protection in most participants. Most postvaccine adverse events were mild to moderate, mainly due to induction of immune response by the body for protection. Furthermore, these mild to moderate adverse effects should not be hindrance to vaccination.
{"title":"Effectiveness and adverse effects of astrazeneca and pfizer COVID-19 vaccines among medical students in Oman: A comparative study","authors":"M. Sannathimmappa, Vinod Nambiar, R. Aravindakshan, M. Baig, A. Hassan, Maryam Al-Balushi","doi":"10.4103/bbrj.bbrj_9_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_9_23","url":null,"abstract":"Background: Immunization against severe acute respiratory syndrome coronavirus 2 became necessary to control the menace of COVID-19. However, the safety of COVID-19 vaccines must be monitored continuously. The present study aims at comparing the effectiveness and adverse effects of Pfizer and AstraZeneca vaccines among the cohort of medical students. Methods: It was a single-cohort comparative study, and the data were collected using an online survey from participants who took at least two doses of AstraZeneca or Pfizer vaccines. The data included demography, breakthrough infections, and adverse effects following vaccination. Bivariate and logistic regression models were used to find associations between effectiveness and independent variables. Statistical significance was considered at P < 0.05. Results: In total, 115 students who had received Pfizer or AstraZeneca vaccines were included in the study. The mean age of the participants was 21.52. Female (n = 90) participants were more compared to males (n = 25). The majority of them received Pfizer vaccine (95), while AstraZeneca was received by only 20 participants. Overall effectiveness of both AstraZeneca and Pfizer was nearly 85%, while almost 100% protection was observed among those who were vaccinated after contracting the disease. Logistic regression revealed an independent effect of COVID-19 before any vaccination dose offered 66% protection against any subsequent breakthroughs (odds ratio 0.44, 95% confidence interval [CI]: 0.095–2.08). At least one adverse effect was reported by 96 (83.5%) participants (95% CI: 75.4%–89.75%). Pain at the site of injection, fever, generalized weakness, and headache were the most common adverse effects. Fever (P < 0.001), body ache (P < 0.001), generalized weakness (P = 0.002), and joint pain (P = 0.014) were significantly more common in AstraZeneca as compared to Pfizer. Conclusion: Coronavirus vaccines were well tolerated, safe, and induced protection in most participants. Most postvaccine adverse events were mild to moderate, mainly due to induction of immune response by the body for protection. Furthermore, these mild to moderate adverse effects should not be hindrance to vaccination.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49091686","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}
S. Darivemula, Chennakesavulu Dara, T. Sagar, S. Bala, Venkatesham Animalla
Background: The World Health Organization declared COVID-19 a global pandemic on March 11, 2020. India confirmed its first case of COVID-19 on 30 January and within 8 weeks the total number of cases had crossed the 1000 mark. Methods: An Observational comparative study was done to see the clinic epidemiological profile, and identify the determinants of COVID 19 patients admitted in the hospital in the last 1 year in both the first and second waves with respect to. All individuals testing positive for severe acute respiratory syndrome coronavirus 2 RNA using reverse transcription polymerase chain reaction were included. Results: A total of 1710 was hospitalized, 701 (40.9%) and 1009 (59.1%) were involved in first and second wave. The mean age was 42.58 ± 13.99 and 45.32 ± 14.18 and majority of them were belong to the 20–60 years and the comparison was showing statistically significant (P = 0.004). The participants affected with the risk factors like smoking 276 (27.3) and alcohol 237 (23.5) with P < 0.0001. The duration of stay was (median 6 [inter quartile range (IQR) 3–7] days in the first wave vs. median 7 [IQR 3–9] days in the second wave; P < 0.001). Conclusion: The second wave had shown more aggressive nature in spreading the COVID-19 infection than the first wave. Besides the steep rise of the cases, there has been more among the patients with commodities and risk factors in the second wave.
{"title":"An observational comparative study of clinicoepidemiological profile of COVID-19 patients admitted in the tertiary care hospital during first and second wave on pandemic","authors":"S. Darivemula, Chennakesavulu Dara, T. Sagar, S. Bala, Venkatesham Animalla","doi":"10.4103/bbrj.bbrj_2_23","DOIUrl":"https://doi.org/10.4103/bbrj.bbrj_2_23","url":null,"abstract":"Background: The World Health Organization declared COVID-19 a global pandemic on March 11, 2020. India confirmed its first case of COVID-19 on 30 January and within 8 weeks the total number of cases had crossed the 1000 mark. Methods: An Observational comparative study was done to see the clinic epidemiological profile, and identify the determinants of COVID 19 patients admitted in the hospital in the last 1 year in both the first and second waves with respect to. All individuals testing positive for severe acute respiratory syndrome coronavirus 2 RNA using reverse transcription polymerase chain reaction were included. Results: A total of 1710 was hospitalized, 701 (40.9%) and 1009 (59.1%) were involved in first and second wave. The mean age was 42.58 ± 13.99 and 45.32 ± 14.18 and majority of them were belong to the 20–60 years and the comparison was showing statistically significant (P = 0.004). The participants affected with the risk factors like smoking 276 (27.3) and alcohol 237 (23.5) with P < 0.0001. The duration of stay was (median 6 [inter quartile range (IQR) 3–7] days in the first wave vs. median 7 [IQR 3–9] days in the second wave; P < 0.001). Conclusion: The second wave had shown more aggressive nature in spreading the COVID-19 infection than the first wave. Besides the steep rise of the cases, there has been more among the patients with commodities and risk factors in the second wave.","PeriodicalId":36500,"journal":{"name":"Biomedical and Biotechnology Research Journal","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46656100","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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