BioMed Research International最新文献

{"title":"Evaluation of Antimicrobial Activity of <i>Aloe vera</i> Gel Extract on Hospital-Acquired Methicillin-Resistant <i>Staphylococcus aureus</i>.","authors":"Jones Gyamerah, Justice Kumi, Eric N Y Nyarko, Janet Ampofo, Sherif Hamidu, Eunice E Ampem-Danso, Vida Yirenkyiwaa Adjei, Felicia Owusu","doi":"10.1155/bmri/8787650","DOIUrl":"10.1155/bmri/8787650","url":null,"abstract":"<p><p><b>Introduction:</b> <i>Aloe vera</i> has a long history as a medicinal plant with numerous therapeutic uses. Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) is a type of bacteria resistant to commonly used antibiotics such as penicillin. Hospital-acquired methicillin-resistant <i>Staphylococcus aureus</i> (Ha-MRSA) refers to MRSA infections that arise in healthcare settings, usually 48 h or longer after hospital admission or in individuals with recent hospitalization. This research is aimed at investigating the effectiveness of <i>Aloe vera</i> gel extract against Ha-MRSA. <b>Methods:</b> The agar well boring diffusion and the broth dilution test methods were employed, respectively, to assess the susceptibility of Ha-MRSA to <i>Aloe vera</i> gel extract in ethanol and DMSO medium. These extraction media were compared for their effectiveness as the solvent of extraction for the susceptibility test. <b>Results:</b> A minimum inhibitory concentration of 0.2 mg/L of <i>Aloe vera</i> gel extract in the ethanolic extraction medium was achieved, indicating susceptibility of the Ha-MRSA strain as recommended by EUCAST/ESCMID. <b>Conclusion:</b> <i>Aloe vera</i> gel ethanol extract was sensitive against Ha-MRSA strains but was resistant in the DMSO extraction method. It is recommended that further research be carried out to ascertain the bioactive compounds responsible for antimicrobial activity.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"8787650"},"PeriodicalIF":2.3,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Midterm Outcomes of a Bangladeshi Modification of Bent Ab Interno Needle Goniectomy (B-BANG): Single-Surgeon Pilot Study.","authors":"Md Iftekher Iqbal, Fariah Osman","doi":"10.1155/bmri/4125584","DOIUrl":"10.1155/bmri/4125584","url":null,"abstract":"<p><p><b>Purpose:</b> The purpose of the study is to report midterm outcomes of a pilot case series using a Bangladeshi modification of bent ab interno needle goniectomy (B-BANG) in primary open-angle glaucoma (POAG). <b>Methods:</b> This single-surgeon, nonrandomized case series included 11 eyes of 11 patients with POAG. Six eyes underwent standalone B-BANG, while five eyes underwent combined phacoemulsification with B-BANG. Preoperative and postoperative intraocular pressure (IOP), antiglaucoma medication (AGM) burden, and complications were recorded at 1, 3, and 6 months. Paired <i>t</i>-tests and Cohen's <i>d</i> effect sizes with 95% confidence intervals (CIs) were calculated. <b>Results:</b> Mean IOP reduced from 22.73 ± 7.38 to 17.00 ± 2.19 mmHg at 6 months (<i>p</i> = 0.0368; Cohen's <i>d</i> = 0.73). AGM usage decreased from 2.09 ± 0.94 to 0.45 ± 0.52 (<i>p</i> < 0.0001; <i>d</i> = 2.02). No sight-threatening complications occurred. <b>Conclusions:</b> B-BANG was feasible and reduced IOP and medication burden. Findings require confirmation in future controlled studies.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"4125584"},"PeriodicalIF":2.3,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451078/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Extended Epidemiological Models for Weak Economic Region: Case Studies of the Spreading of COVID-19 in the South Asian Subcontinental Countries\".","authors":"","doi":"10.1155/bmri/9782879","DOIUrl":"10.1155/bmri/9782879","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1155/2021/7787624.].</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"9782879"},"PeriodicalIF":2.3,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446873/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Self-Care Activities on Blood Pressure Control Among Patients With Hypertension.","authors":"Yirga Legesse Niriayo, Gebre Teklemariam Demoz, Solomon Weldegebreal Asgedom, Gebremicheal Gebreyohannes Kahsay, Kidu Gidey","doi":"10.1155/bmri/6623871","DOIUrl":"10.1155/bmri/6623871","url":null,"abstract":"<p><p><b>Background:</b> Adherence to self-care activities is crucial for effective control of hypertension. However, little is known about the effect of self-care activities on blood pressure control in Ethiopia. Hence, the present study is aimed at investigating the effect of self-care activities on blood pressure control among patients with hypertension. <b>Methods:</b> A prospective observational study was conducted among 326 hypertensive patients at a tertiary care hospital in Ethiopia. We adopted Hypertension Self-Care Activity Level Effects (H-SCALE) to assess adherence to self-care activities. Data were collected through patient interviews and reviews of medical records. Binary logistic regression analysis was done to assess the effect of self-care activities on blood pressure control. <b>Result:</b> A total of 326 patients were included in the study. Blood pressure was controlled in 186 (57.1%) patients. In this study, 51.2%, 41.1%, 22.4%, and 25.2% of the patients were adherent to antihypertensive medications, the recommended physical activity level, weight management, and a low-salt diet, respectively. The majority of the patients were nonsmokers (90.8%) and alcohol abstainers (72.1%). In multivariable binary logistic regression analysis, nonadherence to self-care activities including medication intake (adjusted odds ratio [AOR]: 2.69, 95% confidence interval [CI]:1.61-4.51), weight management (AOR: 3.74, 95% CI: 1.92-7.32), low-salt diet (AOR: 2.85, 1.55-5.24), and nonsmoking (AOR: 3.28, 95% CI: 1.12-9.64) were predictors of uncontrolled blood pressure. <b>Conclusion:</b> Our findings indicated that a significant proportion of the participants had uncontrolled blood pressure. Participants with a low rate of adherence to self-care activities, particularly weight management, low salt intake, nonsmoking, and medication intake, were more likely to have uncontrolled blood pressure. Therefore, we recommend further interventional programs aimed at enhancing these self-care activities to achieve optimal BP control.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"6623871"},"PeriodicalIF":2.3,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Medical Named Entity Recognition in Automatic ICD Prediction.","authors":"Mohamad Kawas, Bassel Alkhatib, Khaled Omar, Khaled Tofelia, Mayssoon Dashash, Dorota Formanowicz","doi":"10.1155/bmri/6117755","DOIUrl":"10.1155/bmri/6117755","url":null,"abstract":"<p><p>The International Classification of Diseases (ICD) serves as a standard in medical coding. Researchers in artificial intelligence, including those focused on natural language processing and machine learning, have made a significant effort to build and develop automatic ICD encoding systems and algorithms. Many algorithms have been developed to implement automatic ICD encoding, but almost all of these algorithms depended on the raw text input without taking into consideration the important medical entities in this input. In this paper, we propose an algorithm for automatically predicting ICD codes based on patient claims. Our algorithm contains several steps for finding the most relevant ICD codes. Primarily, our proposed algorithm employs medical named entity recognition (NER) to find the most important medical entities in a patient claim. For this purpose, the Medical NER model was used based on the BERT model. Next, the algorithm generates embeddings for the extracted entities using the ClinicalBERT model. To identify the most relevant ICD code, the algorithm creates embeddings for an ICD catalog, which contains various information such as chapter descriptions, long descriptions, short descriptions, and ICD codes. The embedding process is primarily based on the long descriptions, and the results are stored in a local database that contains embedding vectors and corresponding mapped ICD codes. The final step of the algorithm calculates the cosine similarity between the embedding vector generated from the patient complaint and the ICD long description vectors. The strength of this new algorithm is that it first detects the medical entities in the textual input and then predicts the most similar ICD codes. Also, our developed algorithm does not need such huge data for training. We tested the developed algorithm on a medical dataset, and the results indicate that the proposed method is highly efficient, achieving a precision rate of approximately 90%.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"6117755"},"PeriodicalIF":2.3,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446077/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Danger of Long-Term Use of <i>Rauwolfia vomitoria</i> Afzel. (Apocynaceae) Aqueous Root Back Extract for Benign Prostatic Hyperplasia.","authors":"Perpetua Dagadu, Samuel Adjei, George Awuku Asare, Kwasi Bugyei, Rodger Apandago Mahamadu, Ufuoma Ohwo, Habibur Rahman","doi":"10.1155/bmri/2449997","DOIUrl":"10.1155/bmri/2449997","url":null,"abstract":"<p><p><i>Rauwolfia vomitoria</i> has recently been reported as a promising phytomedicine for benign prostatic hyperplasia (BPH). It has a wide range of therapeutic advantages intermingled with diverse controversies of toxicities, necessitating the need to proceed on a long-term investigation to determine the safety of <i>R. vomitoria</i>. The study is aimed at determining the subchronic toxicity of <i>R. vomitoria.</i> Rats were randomised into four (4) groups, which included the normal control group (C), <i>R. vomitoria</i> root bark aqueous extract (RVRAE), low dose (LD, 10 mg/kg bwt.), medium dose (MD, 25 mg/kg bwt.) and high dose (HD, 50 mg/kg bwt.). The experimental set-up included daily administration of plant extracts for a period of 90 days. Relative organ weights, haematological and renal function revealed no significant differences across the treatment groups. However, for liver function, whilst most liver analytes remained unchanged, a significant increase in alkaline phosphatase (ALP) was observed across treatment groups. <i>C</i> and LD values were <i>C</i> = 144.2 ± 29.3 and LD = 246.4 ± 66.9 (IU) (<i>p</i> = 0.008). Total bile acids (TBAs) reduced in a dose-dependent manner; <i>C</i> = 27.9 ± 7.6, LD = 19.0 ± 5.5, MD = 18.6 ± 4.3, HD = 116.8 ± 16.8 <i> μ</i>mol/L. The most prominent significant value among others occurred between the C and HD groups (<i>p</i> = 0.004). Absolute and relative organ weights of lungs decreased in a dose-dependent manner. However, only the absolute organ weight was significant (<i>p</i> < 0.05) with values of <i>C</i> = 2.13 ± 0.12, LD = 1.81 ± 0.05, MD = 1.77 ± 0.15, HD = 0.62 ± 0.17 g. PSA levels in the study did not show significant differences (<i>p</i> > 0.05). However, a decline was observed with the high dose group. No significant histopathological alterations were observed in the kidneys, confirming the absence of renal toxicity. However, some histoarchitecture alterations were observed in the liver and lungs, which require further investigation. The safety of the root bark extract remains doubtful, with the lungs and the liver adversely affected even at lower doses of 10 mg/kg bwt.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"2449997"},"PeriodicalIF":2.3,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12445129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in Image-Based Analyses for Morphology and Staging of Colon Cancer: A Comprehensive Review.","authors":"Samuel Arthur Ameyaw, Derrick Adu Afari, John Boateng","doi":"10.1155/bmri/9214337","DOIUrl":"10.1155/bmri/9214337","url":null,"abstract":"<p><p>Colon cancer remains a significant global health burden, accounting for approximately 10% of all cancer cases worldwide and ranking as the second leading cause of cancer-related mortality. Despite advances in treatment, the 5-year survival rate for late-stage colorectal cancer remains as low as 14%, whereas early detection can improve survival to over 90%. This review explores recent advancements in image-based analyses for the morphology and staging of colon cancer, focusing on key imaging modalities, including colonoscopy, computed tomography (CT), magnetic resonance imaging (MRI), endoscopic ultrasound (EUS), histopathological analysis, and the integration of artificial intelligence (AI) and machine learning (ML) algorithms. A systematic literature review was conducted using peer-reviewed studies from databases such as PubMed, Scopus, and IEEE Xplore. Selection criteria included studies published within the past decade that evaluated imaging techniques for colon cancer detection, staging, and treatment planning. AI and ML applications in colon cancer imaging were also examined, with an emphasis on their diagnostic accuracy, staging precision, and impact on clinical decision-making. Findings indicate that AI-assisted imaging techniques enhance lesion detection sensitivity (88%-94%) and improve staging accuracy compared to conventional radiology methods. AI models have also demonstrated superior predictive capabilities in treatment response and prognosis, with deep learning-based algorithms achieving over 90% accuracy in 5-year survival prediction. Despite these advancements, challenges persist, including interobserver variability, dataset biases, regulatory concerns, and the need for standardized AI validation protocols. Addressing these challenges requires interdisciplinary collaboration among clinicians, researchers, and policymakers to refine AI algorithms, develop standardized imaging protocols, and ensure equitable AI applications across diverse populations. By leveraging advancements in imaging and AI-driven analysis, colon cancer diagnosis and management can be significantly improved, ultimately enhancing early detection rates, treatment personalization, and patient survival outcomes.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"9214337"},"PeriodicalIF":2.3,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12445205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RETRACTION: Nephrolithiasis: Molecular Mechanism of Renal Stone Formation and the Critical Role Played by Modulators.","authors":"BioMed Research International","doi":"10.1155/bmri/9842796","DOIUrl":"10.1155/bmri/9842796","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2013/292953.].</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"9842796"},"PeriodicalIF":2.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addressing the Problem of Lysine Glycation Prediction in Proteins via Recurrent Neural Networks.","authors":"Ulices Que-Salinas, Dulce Martinez-Peon, Gerardo Maximiliano Mendez, P Argüelles-Lucho, Angel D Reyes-Figueroa, Christian Quintus Scheckhuber","doi":"10.1155/bmri/2426944","DOIUrl":"10.1155/bmri/2426944","url":null,"abstract":"<p><p>A distinguishing feature of the metabolic disorder diabetes involves elevated damage to cellular components. Glycation, in contrast to glycosylation, is regarded as a strictly nonenzymatic process that involves the reaction of sugars (e.g., glucose and fructose) and sugar-derived molecules (e.g., methylglyoxal) with amino groups of biologically highly relevant molecules, such as nucleic acids, lipids, and proteins. The primary form of alteration arises from the chemical interaction between glycating agents and proteinaceous arginine/cysteine/lysine residues. Glycation may result in the formation of advanced glycation end-products (AGEs) which are mostly detrimental and compromise the function of the target molecule irreversibly. There are no clear sequence motifs in proteins that allow a straightforward identification of potential glycation sites. However, the physicochemical properties of amino acids that flank the glycated residue seem to play a key role in determining if glycation occurs or not. Here, we used a curated version of the CPLM database to implement a recurrent neural network strategy for the classification of lysine glycation to better understand which of eight physicochemical properties might influence glycation more than others. By using the most promising property for the characterization of amino acids next to lysine sites, isoelectric point, it was possible to obtain a 59.6% accuracy for correctly predicting lysine glycation. When the properties mass and torsion angle were used together, the accuracy increased to approximately 60%. Overall, our approach contributes to the understanding of glycation principles and can aid the task of narrowing down possible sites of lysine glycation in protein targets for further analysis.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"2426944"},"PeriodicalIF":2.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12436683/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Systematic Characterization of Prognostic Values of Peroxiredoxin Family in Gastric Cancer\".","authors":"","doi":"10.1155/bmri/9897568","DOIUrl":"10.1155/bmri/9897568","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1155/2020/3948183.].</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2025 ","pages":"9897568"},"PeriodicalIF":2.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434835/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}