{"title":"Severe Hemolysis Triggered by Favism in a Female Patient with G6PD Deficiency: A Case Report","authors":"Nabilah Rameli, Justin Hor Hung Juan, Ling Pei Chi, Nurul Asyikin Nizam Akbar, Adibah Daud, Syamihah Mardhiah A. Razak, Sumaiyah Adzahar","doi":"10.15419/bmrat.v10i10.836","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.836","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139306397","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 : 2023-10-31DOI: 10.15419/bmrat.v10i10.840
Huong Thu Duong, Phuong Minh Pham, Nam Huynh Bao Tran, Phuong Thanh Huynh, Hung Trong Hoang, Thinh Huy Quoc Dang, Tu Anh Thai, Chi Thi Kim Nguyen, Nam Cong Nhat Huynh
{"title":"Optimizing RNA extraction and library preparation from oral squamous cell carcinoma FFPE samples for next-generation RNA sequencing","authors":"Huong Thu Duong, Phuong Minh Pham, Nam Huynh Bao Tran, Phuong Thanh Huynh, Hung Trong Hoang, Thinh Huy Quoc Dang, Tu Anh Thai, Chi Thi Kim Nguyen, Nam Cong Nhat Huynh","doi":"10.15419/bmrat.v10i10.840","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.840","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139307598","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 : 2023-10-31DOI: 10.15419/bmrat.v10i10.841
Lamia Bouafif
{"title":"ERP evaluation of EEG signals for monitoring anesthesia depth during surgery","authors":"Lamia Bouafif","doi":"10.15419/bmrat.v10i10.841","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.841","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308306","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 : 2023-10-31DOI: 10.15419/bmrat.v10i10.837
Sumaiyah Adzahar, Adibah Daud, Nabilah Rameli, Nik Fatma Fairuz Nik Mohd Hassan, Nur Aini Syakirah Ahmad Shuyuti
{"title":"Challenges and Management of Thrombotic Thrombocytopenic Purpura During Pregnancy: A Case Report","authors":"Sumaiyah Adzahar, Adibah Daud, Nabilah Rameli, Nik Fatma Fairuz Nik Mohd Hassan, Nur Aini Syakirah Ahmad Shuyuti","doi":"10.15419/bmrat.v10i10.837","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.837","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308744","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 : 2023-10-31DOI: 10.15419/bmrat.v10i10.839
Pemula Gowtham, Karthick Harini, Anbazhagan Thirumalai, P. Pallavi, K. Girigoswami, A. Girigoswami
{"title":"Possible Association of Three Polymorphisms in Cytokine TNF-a (238G/A, 308G/A, 1031T/C) with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis","authors":"Pemula Gowtham, Karthick Harini, Anbazhagan Thirumalai, P. Pallavi, K. Girigoswami, A. Girigoswami","doi":"10.15419/bmrat.v10i10.839","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.839","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139309467","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 : 2023-10-30DOI: 10.15419/bmrat.v10i10.835
Duy Khuong Pham, Hoai Nam Le, Anh Nhu Nguyen, Thao N. Huynh, Chau Nhat Truong, Van Phuc Pham
{"title":"Combinatorial effects of metformin and glucose on the immune evasion of breast cancer 4T1 cells","authors":"Duy Khuong Pham, Hoai Nam Le, Anh Nhu Nguyen, Thao N. Huynh, Chau Nhat Truong, Van Phuc Pham","doi":"10.15419/bmrat.v10i10.835","DOIUrl":"https://doi.org/10.15419/bmrat.v10i10.835","url":null,"abstract":"","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139309854","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}
Introduction: This study was designed to evaluate the relationship between taking sodium valproate (VPA) and the onset of polycystic ovarian syndrome (PCOS) in women with epilepsy (WWE) and analyze the biochemical factors and expression levels of three miRNAs as diagnostic or predictive biomarkers. These miRNAs target numerous genes and molecular pathways involved in hyperandrogenism, insulin resistance, and obesity in PCOS patients. Methods: The study was conducted on 120 WWE aged 18–35 years before and after monotherapy with VPA and 120 women with PCOS (WWP). After collecting the plasma samples of patients, the total RNA was extracted. Then, the miRNA-218, miRNA-222, and miRNA-146 expression levels were determined via qRT– PCR. Results: In this study, the relative expression levels of miRNA-146 and miRNA-218 showed a significant increase in the WWP and treated epileptic patients (P < 0.01). However, the expression level of miRNA-222 significantly (P0.05) reduced. Our finding showed a significant increase in the concentrations of anti-Müllerian hormone (AMH), free testosterone, and estradiol and an increased LH/FSH ratio after treatment compared with pre-treatment with VPA (P < 0.05). Conclusion: Significant changes were observed in the expression of the examined miRNAs after receiving VPA, especially miRNA-218. In addition, a significant correlation was found between PCOS and AMH, free testosterone, estradiol, and the LH/FSH ratio. Therefore, the miRNA-218 expression and these biochemical factors are valuable biomarkers for predicting PCOS symptoms. They are cost-effective for controlling side effect and timely medication adjustments in patients receiving VPA.
{"title":"Assessment of circulating miRNA-218, miRNA-222, and miRNA-146 as biomarkers of polycystic ovary syndrome in epileptic patients receiving valproic acid","authors":"Mahya Rajabi, Seyed Mehdi Kalantar, Elham Mojodi, Mansour Salehi, Razieh Dehghani Firouzabadi, Seyed Masoud Etemadifar, Fateme Montazeri","doi":"10.15419/bmrat.v10i9.833","DOIUrl":"https://doi.org/10.15419/bmrat.v10i9.833","url":null,"abstract":"Introduction: This study was designed to evaluate the relationship between taking sodium valproate (VPA) and the onset of polycystic ovarian syndrome (PCOS) in women with epilepsy (WWE) and analyze the biochemical factors and expression levels of three miRNAs as diagnostic or predictive biomarkers. These miRNAs target numerous genes and molecular pathways involved in hyperandrogenism, insulin resistance, and obesity in PCOS patients. Methods: The study was conducted on 120 WWE aged 18–35 years before and after monotherapy with VPA and 120 women with PCOS (WWP). After collecting the plasma samples of patients, the total RNA was extracted. Then, the miRNA-218, miRNA-222, and miRNA-146 expression levels were determined via qRT– PCR. Results: In this study, the relative expression levels of miRNA-146 and miRNA-218 showed a significant increase in the WWP and treated epileptic patients (P < 0.01). However, the expression level of miRNA-222 significantly (P0.05) reduced. Our finding showed a significant increase in the concentrations of anti-Müllerian hormone (AMH), free testosterone, and estradiol and an increased LH/FSH ratio after treatment compared with pre-treatment with VPA (P < 0.05). Conclusion: Significant changes were observed in the expression of the examined miRNAs after receiving VPA, especially miRNA-218. In addition, a significant correlation was found between PCOS and AMH, free testosterone, estradiol, and the LH/FSH ratio. Therefore, the miRNA-218 expression and these biochemical factors are valuable biomarkers for predicting PCOS symptoms. They are cost-effective for controlling side effect and timely medication adjustments in patients receiving VPA.","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135126181","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 : 2023-09-30DOI: 10.15419/bmrat.v10i9.830
Tran Ngoc Dung, Pham Van Thinh, Nguyen Mai Hanh, Nguyen Thuy Linh, Pham Van Thi, Dang Thai Tra, Truong Dinh Tien, Le Tai The, Nguyen Manh Hung, Dang Thanh Chung
Introduction: Nasopharyngeal carcinoma (NPC) is a common malignancy in Viet Nam, and its pathogenesis is closely associated with Epstein–Barr virus (EBV) infection. However, the relationship between EBV infection and clinicopathological characteristics related to NPC prognosis in Vietnamese patients remains poorly understood. This study aimed to investigate the association between EBV infection and various clinical parameters in Vietnamese patients with NPC. Methods: We collected clinical data from 31 patients with histologically confirmed NPC and evaluated their samples for EBV-encoded RNA (EBER) expression using the chromosomal in situ hybridization (CISH) technique. We examined the relationship between EBER expression and several clinical parameters, including age, sex, lymph node metastasis, tissue invasion and metastasis, clinical stage, and histological NPC type. Results: The patients' ages ranged from 19 to 74 years, with 80.64% aged >40 years and 87.1% male. In addition, 80.65% had lymph node metastasis, and 38.71% had tissue invasion and distant metastasis. Most patients (67.74%) were diagnosed at a late stage (III or IV), with the most common histological type being type III (48.39%), followed by type I (29.03%) and II (22.58%). EBER expression was observed in 48.39% of the patients and was significantly associated with younger age (<40, p = 0.0362) and undifferentiated carcinoma (type III, p = 0.0007). However, EBER expression was not significantly associated with sex, lymph node metastasis, tissue invasion and metastasis, or clinical stage. Conclusions: Our study suggests that EBV infection may contribute to NPC pathogenesis. It also shows significant associations between EBV infection and younger age and undifferentiated carcinoma type. The CISH technique could help screen asymptomatic high-risk individuals, managing and predicting the NPC prognosis. The small sample size and single-center design limit the generalizability of our findings.
鼻咽癌(NPC)是越南常见的恶性肿瘤，其发病机制与eb病毒(EBV)感染密切相关。然而，越南患者EBV感染与鼻咽癌预后相关的临床病理特征之间的关系尚不清楚。本研究旨在探讨越南鼻咽癌患者EBV感染与各种临床参数的关系。方法:收集31例经组织学证实的鼻咽癌患者的临床资料，采用染色体原位杂交(CISH)技术检测其样本中ebv编码RNA (EBER)的表达。我们研究了EBER表达与几个临床参数的关系，包括年龄、性别、淋巴结转移、组织侵袭和转移、临床分期和组织学鼻咽癌类型。结果:患者年龄19 ~ 74岁，40岁占80.64%，男性占87.1%。80.65%有淋巴结转移，38.71%有组织浸润及远处转移。大多数患者(67.74%)诊断为晚期(III或IV期)，最常见的组织学类型为III型(48.39%)，其次是I型(29.03%)和II型(22.58%)。48.39%的患者有EBER表达，且与年龄较小(<40, p = 0.0362)和未分化癌(III型，p = 0.0007)显著相关。然而，EBER的表达与性别、淋巴结转移、组织浸润转移及临床分期无显著相关性。结论:本研究提示EBV感染可能与鼻咽癌发病有关。它还显示EBV感染与年轻和未分化癌类型之间存在显著关联。CISH技术可以帮助筛查无症状的高危人群，管理和预测鼻咽癌预后。小样本量和单中心设计限制了我们研究结果的普遍性。
{"title":"Epstein–Barr virus-encoded RNA expression and its relationship with the clinicopathological parameters of Vietnamese patients with nasopharyngeal carcinoma","authors":"Tran Ngoc Dung, Pham Van Thinh, Nguyen Mai Hanh, Nguyen Thuy Linh, Pham Van Thi, Dang Thai Tra, Truong Dinh Tien, Le Tai The, Nguyen Manh Hung, Dang Thanh Chung","doi":"10.15419/bmrat.v10i9.830","DOIUrl":"https://doi.org/10.15419/bmrat.v10i9.830","url":null,"abstract":"Introduction: Nasopharyngeal carcinoma (NPC) is a common malignancy in Viet Nam, and its pathogenesis is closely associated with Epstein–Barr virus (EBV) infection. However, the relationship between EBV infection and clinicopathological characteristics related to NPC prognosis in Vietnamese patients remains poorly understood. This study aimed to investigate the association between EBV infection and various clinical parameters in Vietnamese patients with NPC. Methods: We collected clinical data from 31 patients with histologically confirmed NPC and evaluated their samples for EBV-encoded RNA (EBER) expression using the chromosomal in situ hybridization (CISH) technique. We examined the relationship between EBER expression and several clinical parameters, including age, sex, lymph node metastasis, tissue invasion and metastasis, clinical stage, and histological NPC type. Results: The patients' ages ranged from 19 to 74 years, with 80.64% aged >40 years and 87.1% male. In addition, 80.65% had lymph node metastasis, and 38.71% had tissue invasion and distant metastasis. Most patients (67.74%) were diagnosed at a late stage (III or IV), with the most common histological type being type III (48.39%), followed by type I (29.03%) and II (22.58%). EBER expression was observed in 48.39% of the patients and was significantly associated with younger age (<40, p = 0.0362) and undifferentiated carcinoma (type III, p = 0.0007). However, EBER expression was not significantly associated with sex, lymph node metastasis, tissue invasion and metastasis, or clinical stage. Conclusions: Our study suggests that EBV infection may contribute to NPC pathogenesis. It also shows significant associations between EBV infection and younger age and undifferentiated carcinoma type. The CISH technique could help screen asymptomatic high-risk individuals, managing and predicting the NPC prognosis. The small sample size and single-center design limit the generalizability of our findings.","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135126439","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 : 2023-09-30DOI: 10.15419/bmrat.v10i9.832
Khoi Nguyen, My Nguyen, Khiet Dang, Bao Pham, Vy Huynh, Toi Vo, Lua Ngo, Huong Ha
Introduction: Early Alzheimer's disease (AD) diagnosis is critical to improving the success of new treatments in clinical trials, especially at the early mild cognitive impairment (EMCI) stage. This study aimed to tackle this problem by developing an accurate classification model for early AD detection at the EMCI stage based on magnetic resonance imaging (MRI). Methods: This study developed the proposed classification model through a machine-learning pipeline with three main steps. First, features were extracted from MRI images using FreeSurfer. Second, the extracted features were filtered using principal component analysis (PCA), backward elimination (BE), and extreme gradient (XG)-Boost importance (XGBI), the efficiency of which was evaluated. Finally, the selected features were combined with cognitive scores (Mini Mental State Examination [MMSE] and Clinical Dementia Rating [CDR]) to create an XG-Boost three-class classifier: AD vs. EMCI vs. cognitively normal (CN). Results: The MMSE and CDR had the highest importance weights, followed by the thickness of the left superior temporal sulcus and banks of the superior temporal lobe. Without feature selection, the model had the lowest accuracy of 69.0%. After feature selection and the addition of cognitive scores, the accuracy of the PCA, BE, and XGBI approaches improved to 74.0%, 90.9%, and 91.5%, respectively. The BE with tuning parameters model was chosen as the final model since it had the highest accuracy of 92.0%. The area under the receiver operating characteristic curve for the CN, AD, and EMCI classes were 0.98, 0.94, and 0.88, respectively. Conclusion: Our proposed model shows promise in early AD diagnosis and can be fine-tuned in the future through testing on a multi-dataset.
{"title":"Early Alzheimer’s disease diagnosis using an XG-Boost model applied to MRI images","authors":"Khoi Nguyen, My Nguyen, Khiet Dang, Bao Pham, Vy Huynh, Toi Vo, Lua Ngo, Huong Ha","doi":"10.15419/bmrat.v10i9.832","DOIUrl":"https://doi.org/10.15419/bmrat.v10i9.832","url":null,"abstract":"Introduction: Early Alzheimer's disease (AD) diagnosis is critical to improving the success of new treatments in clinical trials, especially at the early mild cognitive impairment (EMCI) stage. This study aimed to tackle this problem by developing an accurate classification model for early AD detection at the EMCI stage based on magnetic resonance imaging (MRI). Methods: This study developed the proposed classification model through a machine-learning pipeline with three main steps. First, features were extracted from MRI images using FreeSurfer. Second, the extracted features were filtered using principal component analysis (PCA), backward elimination (BE), and extreme gradient (XG)-Boost importance (XGBI), the efficiency of which was evaluated. Finally, the selected features were combined with cognitive scores (Mini Mental State Examination [MMSE] and Clinical Dementia Rating [CDR]) to create an XG-Boost three-class classifier: AD vs. EMCI vs. cognitively normal (CN). Results: The MMSE and CDR had the highest importance weights, followed by the thickness of the left superior temporal sulcus and banks of the superior temporal lobe. Without feature selection, the model had the lowest accuracy of 69.0%. After feature selection and the addition of cognitive scores, the accuracy of the PCA, BE, and XGBI approaches improved to 74.0%, 90.9%, and 91.5%, respectively. The BE with tuning parameters model was chosen as the final model since it had the highest accuracy of 92.0%. The area under the receiver operating characteristic curve for the CN, AD, and EMCI classes were 0.98, 0.94, and 0.88, respectively. Conclusion: Our proposed model shows promise in early AD diagnosis and can be fine-tuned in the future through testing on a multi-dataset.","PeriodicalId":8870,"journal":{"name":"Biomedical Research and Therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135126441","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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