Advances in biomarker sciences and technology最新文献

{"title":"Dietary supplementation of Bryophyllum pinnatum modulates C-reactive proteins, inflammatory cytokines, myeloperoxidase, and antioxidant enzyme activities in acetic acid-induced ulcerative colitis rats","authors":"Olasunkanmi S. Omojokun,&nbsp;Blessing Oladele,&nbsp;Boluwatife Mogbojuri,&nbsp;Ganiyu Oboh,&nbsp;Akintunde A. Akindahunsi","doi":"10.1016/j.abst.2026.04.001","DOIUrl":"10.1016/j.abst.2026.04.001","url":null,"abstract":"<div><div>Anti-inflammatory effects of <em>Bryophyllum pinnatum</em> (<em>Bp</em>) in ulcerative colitis rats were investigated. Diet was formulated at (10% and 15%) supplementation levels using freeze-dried leaves. The protective effect of dietary supplemented <em>Bp</em> was investigated on C-Reactive protein (CRP), inflammatory cytokines (NF-κB, TNF-α, IL-6, and IL-10) contents, as well as myeloperoxidase (MPO), superoxide-dismutase (SOD), reduced-glutathione (GSH), and catalase activities in the colon of acetic acid-induced ulcerative colitis rats. Thirty-five Wistar rats were used and divided into five groups (n = 7). Group 1-normal rats; Group 2–ulcerative colitis rats (UC); Group 3-UC rats + sulfasalazine; Group 4-UC + 10% <em>Bp</em>; Group 5–UC + 15% <em>Bp</em>. After 21 days of the experimental process, comprising acclimatization, diet formulation, and pre-treatment with <em>Bp</em> supplemented diet before colitis induction, the rats were euthanized, and the colon and blood were collected for further analysis. The results showed that the significantly elevated CRP, cytokines, and MPO activities in ulcerative colitis rats were reduced compared with those in normal rats and in rats fed diets containing 10% and 15% Bp inclusion. This study suggests that Bp leaf indicated protective effects by modulating inflammatory cytokines, MPO, and antioxidant enzyme activities in the ulcerative colitis state.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 525-539"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148582292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid molecular-image fusion network for enhanced lung cancer diagnosis using CT images","authors":"M. Angelin Rosy,&nbsp;D. Surya Prabha","doi":"10.1016/j.abst.2026.05.003","DOIUrl":"10.1016/j.abst.2026.05.003","url":null,"abstract":"<div><div>Lung cancer is among the major causes of cancer-related deaths in the world, and the problem requires proper and timely diagnostic measures. The proposed study is HyMoIF-Net, a new radiogenomic deep learning framework that combines computer tomography (CT) imaging characteristics with gene expression data to classify lung cancer. TCIA provides CT images and corresponding genomic profiles are obtained in TCGA-LUAD and TCGA-LUSC. The convolutional neural network is used to extract spatial features of CT scans whereas a fully connected network is used to process gene expression features. The fusion mechanism that is presented is a cross-attention fusion mechanism that is effective in integrating multimodal representations. Empirical testing on cohorts of patients proves that the given model can attain a better classification outcome in contrast to unimodal methods. The findings demonstrate the possibility of radiogenomic fusion usage to improve the quality of the diagnosis and assist with individual treatment planning. The outcome obtained supports that the hybrid approach introduced enhances diagnostic performance of conventional systems with an accuracy rate up to 96.3% and provides a rich resource for lung cancer early detection, staging and personalized treatment planning in future.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 479-492"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In silico evaluation of itaconic acid as a potential inhibitor of KRAS and PPARG proteins in lung cancer","authors":"Manoj Kumar Karuppan Perumal ,&nbsp;Ragavendhar Kumar ,&nbsp;Thirugnanasambandam Rajendran ,&nbsp;Remya Rajan Renuka","doi":"10.1016/j.abst.2026.03.009","DOIUrl":"10.1016/j.abst.2026.03.009","url":null,"abstract":"<div><div>Itaconic acid has emerged as a promising metabolite in cancer biology as a naturally occurring dicarboxylic acid synthesized by the immune response gene (IRG1). The molecular relationship between itaconic acid and lung cancer targets remains poorly understood, highlighting the need for computational analysis. This study investigates the binding potential, pharmacokinetic properties, and dynamic stability of itaconic acid against key lung cancer proteins through <em>in silico</em> analysis using Schrödinger software. The results exhibited that among the key lung cancer targets, two proteins (KRAS &amp; PPARG) indicated the strongest binding affinities with docking scores of −6.679 and −6.172, respectively. In addition, the physicochemical and ADMET analysis revealed favourable drug safety characteristics. The molecular dynamics simulations were performed for 500 ns and demonstrated a stable protein-ligand complex with no structural disruptions and confirmed hydrogen bonding and hydrophobic contacts. These findings indicate that itaconic acid interacts with key lung cancer proteins and future studies should focus on molecular optimization and experimental validation to validate the potential of itaconic acid as a lead molecule for anticancer drug development.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 401-411"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanorobotics in cancer treatment: Innovations, challenges, and future prospects","authors":"Kiran Bala,&nbsp;Sidhant Sharma","doi":"10.1016/j.abst.2026.04.002","DOIUrl":"10.1016/j.abst.2026.04.002","url":null,"abstract":"<div><div>Cancer is still a major worldwide health concern that calls for further precision medicine breakthroughs. With a focus on their revolutionary potential in targeted drug delivery and less invasive therapeutic treatments, this study critically investigates the incorporation of nanorobotics into cancer. Nanorobots, which are designed at the nanoscale, provide unmatched medication delivery selectivity, lowering systemic toxicity and improving therapeutic effectiveness. Precise tumor targeting, regulated medication release, and better patient outcomes are made possible by their molecular and cellular interactions. In order to ensure structural integrity and functional optimization, this research examines the manufacturing techniques that are crucial for the creation of nanorobots, such as chemical etching, soft lithography, and thin-film deposition. Furthermore, the differences between inorganic and organic nanobots are examined in terms of toxicity mitigation techniques, efficiency, and biocompatibility. Nanorobotic systems with swarm intelligence, self-replication, and real-time illness monitoring capabilities have been designed thanks to advancements in nanotechnology, establishing them as a ground-breaking area of biomedical engineering. Notwithstanding these encouraging possibilities, issues including exorbitant manufacturing costs, immune response evasion, and long-term safety concerns demand more research. This study integrates knowledge of cancer epidemiology, genetic predispositions, environmental risk factors, and existing therapy constraints to synthesize new research on nanorobotic applications in oncology. Nanorobots are a paradigm change in precision oncology, providing a new method of cancer detection and therapy through improved accuracy, efficiency, and tailored therapeutic approaches by fusing technical innovation with clinical requirement.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 435-447"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental evaluation of anxiolytic and anti-amnestic activities of aqueous and hydroalcoholic extracts of Sphaeranthus indicus L. (Mundi) in Swiss albino mice","authors":"Sumedh Sanjay Joshi ,&nbsp;Bhargav Vijay Bhide ,&nbsp;Shivani Ghildiyal ,&nbsp;Tanuja Manoj Nesari","doi":"10.1016/j.abst.2026.03.001","DOIUrl":"10.1016/j.abst.2026.03.001","url":null,"abstract":"<div><h3>Background</h3><div><em>Sphaeranthus indicus</em> L. (<em>Mundi</em>), a medicinal herb from the Asteraceae family, is traditionally cited in Ayurvedic texts for its <em>Medhya</em> (neurocognitive) properties. However, scientific evidence especially preclinical studies supporting its effects on anxiety and memory enhancement is limited.</div></div><div><h3>Objective</h3><div>To evaluate the anxiolytic and anti-amnestic effects of aqueous and hydroalcoholic extracts of <em>Sphaeranthus indicus</em> whole plant in Swiss albino mice using validated behavioral models.</div></div><div><h3>Methods</h3><div>Twenty-four adult Swiss albino mice (18–24 g, either sex) were randomly allocated into four groups (n = 6 per group). Extracts were administered orally for seven days: aqueous extract (200 mg/kg), hydroalcoholic extract (200 mg/kg), and standard drugs—diazepam (4 mg/kg, anxiolytic) or piracetam (4 mg/kg, nootropic). The control group received distilled water. Anxiety-related behavior was assessed using the Actophotometer and Elevated Plus Maze (EPM); spatial memory was tested using the Morris Water Maze (MWM) following scopolamine-induced amnesia. All outcome assessors were blinded to group allocation.</div></div><div><h3>Results</h3><div>The aqueous extract significantly reduced anxiety-like behavior in EPM and enhanced cognitive performance in the MWM compared to control (p &lt; 0.01). The hydroalcoholic extract demonstrated significant anti-amnestic but not anxiolytic activity. No adverse behavioral or histological effects were observed in any group.</div></div><div><h3>Conclusion</h3><div>The aqueous extract of <em>Sphaeranthus indicus</em> exhibited both anxiolytic and cognitive-enhancing effects, while the hydroalcoholic extract selectively improved memory. These results support its traditional use as memory enhancer and anxiolytic. Further dose-ranging studies and mechanistic investigations are warranted to substantiate and generalize these findings.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 352-362"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147538438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based automated detection, genetic signature identification and classification of oral lesions for early diagnosis of oral cancer","authors":"Shyamalendu Paul ,&nbsp;Suparna Biswas ,&nbsp;Shivnath Ghosh ,&nbsp;Sanjukta Dasgupta ,&nbsp;Sourajit Maity ,&nbsp;Kartik Sau ,&nbsp;Moupiya Ghosh","doi":"10.1016/j.abst.2026.03.008","DOIUrl":"10.1016/j.abst.2026.03.008","url":null,"abstract":"<div><div>Oral cancer, particularly oral squamous cell carcinoma (OSCC), remains a major global health burden where early detection is critical for improving patient outcomes. Conventional diagnostic approaches, such as biopsy and histopathological evaluation, are invasive and may not always facilitate the timely identification of early-stage lesions. In this study, we propose a multimodal computational framework that integrates deep learning–based image analysis with transcriptomic profiling to improve the early detection and biological understanding of oral cancer.</div><div>The proposed system employs an ensemble of three convolutional neural network architectures—DenseNet201, InceptionResNetV2, and MobileNetV2, to analyze histopathological and clinical oral images. Model predictions are integrated using Dempster–Shafer Theory (DST) to address uncertainty and enhance classification robustness. The framework was evaluated using two publicly available datasets: an OSCC histopathology dataset containing 5192 images and a Dental Condition dataset comprising 13,172 clinical images across seven oral disease categories. The ensemble model achieved an accuracy of 92% for binary OSCC classification and 70% for multiclass oral disease classification, outperforming individual base models.</div><div>To complement imaging-based predictions, transcriptomic analysis of the GEO dataset GSE37991 was performed to identify differentially expressed genes associated with OSCC. Network and pathway enrichment analyses revealed significant involvement of extracellular matrix (ECM)–receptor interaction and cytochrome P450–mediated metabolic pathways, highlighting molecular mechanisms relevant to tumor progression and drug metabolism.</div><div>Together, these findings demonstrate the potential of integrating artificial intelligence–driven image analysis with transcriptomic insights to support improved characterization of oral cancer. While the results highlight the promise of this approach, the framework should be considered a proof-of-concept, and further validation using larger, multi-center clinical datasets will be necessary before translation into routine diagnostic practice.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 448-463"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-omics biomarkers as emerging determinants in precision disease diagnosis and therapeutic monitoring","authors":"Yokesh Shanmugam,&nbsp;Lokeshvar Ravikumar","doi":"10.1016/j.abst.2026.05.007","DOIUrl":"10.1016/j.abst.2026.05.007","url":null,"abstract":"<div><div>Biomarkers objectively measurable biological characteristics indicating normal physiology, pathological states, or pharmacological responses are indispensable to precision medicine. The convergence of multi-omics platforms encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, and lipidomics has fundamentally transformed biomarker discovery by enabling cross-platform data integration that no single omics approach can achieve alone. Horizontal integration within individual omics layers, and vertical integration across multiple omics dimensions, enable identification of molecular signatures with greater diagnostic precision and therapeutic predictability. This review critically evaluates: biomarker classification and clinical utility; disease-specific monitoring and predictive applications; contemporary analytical and biosensing strategies; a comparative analysis of nanotechnology-based detection platforms with explicit assessment of detection limits, scalability, and Technology Readiness Levels (TRL); regulatory pathways governing biomarker qualification including the FDA Biomarker Qualification Programme, the BEST framework, and EMA qualification opinions; bioinformatics and radiomic tools; and emerging technologies including spatial transcriptomics, CRISPR-based diagnostics, and AI-driven liquid biopsy. Each biomarker and detection platform is contextualised against its evidence level and TRL to prevent conflation of preclinical observations with clinically validated markers.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 464-478"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving early detection of Alzheimer's and Parkinson's diseases through novel Ant colony optimization-based feature selection","authors":"Afeez A. Soladoye,&nbsp;Augustus Osborne,&nbsp;Adeyinka Ojo,&nbsp;Euphemia Murateng Matope,&nbsp;Doyin Blessing Bamidele,&nbsp;David B. Olawade","doi":"10.1016/j.abst.2026.05.006","DOIUrl":"10.1016/j.abst.2026.05.006","url":null,"abstract":"<div><div>Neurological disorders such as Alzheimer's Disease (AD) and Parkinson's Disease (PD) pose significant global health challenges, affecting millions worldwide with projected doubling of cases by 2040. Early and accurate prediction of these disorders is crucial for timely interventions that can slow disease progression and improve patient outcomes. This study introduces a novel Soldier-Enhanced Ant Colony Optimization (SACO) algorithm for feature selection, tailored for high-dimensional medical feature selection. SACO utilizes two specialized ant populations: worker ants that exploit established pheromone trails for steady feature selection, and soldier ants that introduce controlled exploration to discover novel feature combinations. Using publicly available datasets from Kaggle containing 2149 AD instances and 2105 PD instances, SACO was benchmarked against Recursive Feature Elimination (RFE), Backward Feature Selection (BFS), Whale Optimization (WO), and Artificial Bee Colony (ABC) algorithms. Feature subsets were evaluated using Random Forest, XGBoost, Logistic Regression, K-Nearest Neighbors, and Stacked Ensemble classifiers. SACO-selected features achieved good performance, with Random Forest and XGBoost attaining 94.96% and 94.84% accuracies (AUC = 0.975 and 0.95) for AD and 92% and 92% accuracies (AUC = 0.971 and 0.964) for PD respectively. Statistical validation using McNemar's test and Friedman analysis confirmed significant performance differences (p &lt; 0.001). SACO's inclusion of comprehensive cardiovascular and metabolic markers alongside cognitive assessments provided a holistic predictive signature, outperforming conventional methods by 8-12% in accuracy. These findings demonstrate SACO's potential for advancing personalized medicine through earlier, more reliable neurological disorder predictions.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 540-556"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148582682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Marsilea minuta Linn. for wound healing activity through the excision wound model","authors":"Kapil Sachan,&nbsp;Aditya Singh,&nbsp;Shubham Sharma,&nbsp;Sheena Mehta,&nbsp;Konika Rao,&nbsp;Priya Ranjan Bhidonia,&nbsp;Nagarajan Kandasamy","doi":"10.1016/j.abst.2026.03.005","DOIUrl":"10.1016/j.abst.2026.03.005","url":null,"abstract":"<div><div>The present study investigates the wound healing activity of <em>Marsilea minuta</em> Linn. extract on Wistar rats by using the excision wound model. After authentication at the Central Regional Botanical Survey Center, the plant extract was performed using 80% methanol and evaluated thoroughly regarding phytochemical screening. Prominent phytoconstituents present were detected as alkaloids, flavonoids, tannins, and phenolic compounds, which were assessed in comparison by employing standard analytical techniques. The methanolic extract was added at different concentrations: 10%, 20%, and 40% within the ointments, and their wound healing potential was evaluated. The in vivo experiments showed significant wound contraction, especially with the ointment form of the 20% extract, that was superior in healing rate and comparable to the standard drug, povidone iodine. It decreased the period of epithelialization and enhanced the activities of antioxidant enzymes, such as SOD, CAT, and GSH, and reduced lipid peroxidation (TBARS). Histopathological observation also supported these findings, as reduced inflammation and increased formation of granulation tissue were found in the treated groups. From the study, it can be concluded that <em>Marsilea minuta</em> Linn. contains significant wound healing properties and rich phytochemical content together with antioxidant mechanisms, which could make this plant a very promising candidate in natural wound care therapies.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 363-378"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147538436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of glycemic biomarkers and lower urinary tract symptoms (LUTS) among adults with and without diabetes in South India: A pilot study","authors":"Dhanaraju Magharla Dasaratha ,&nbsp;Sai Shashank Gudla ,&nbsp;Himasree Pithani ,&nbsp;Srivalli Tanuku ,&nbsp;Ranitha Kadigitala ,&nbsp;Goutham Reddy Sathi","doi":"10.1016/j.abst.2026.05.004","DOIUrl":"10.1016/j.abst.2026.05.004","url":null,"abstract":"<div><h3>Background</h3><div>Lower urinary tract symptoms (LUTS) are common among adults and substantially affect quality of life. Diabetes mellitus (DM) is known to influence LUTS through metabolic and neuropathic mechanisms, yet comparative, gender-inclusive data from Indian tertiary settings are limited. This pilot study evaluated LUTS severity, symptom patterns, and quality of life in adults with and without diabetes.</div></div><div><h3>Methods</h3><div>A cross-sectional study was conducted among 80 adults presenting with at least one LUTS (40 diabetes, 40 non-diabetes). Symptom severity was assessed using the IPSS (males), UDI-6 (females), and ICIQ-UI SF questionnaires. HbA1c was recorded, and management patterns were documented. Descriptive statistics and one-way ANOVA were used for unadjusted comparisons, followed by multivariable linear regression to adjust for age and diabetes status</div></div><div><h3>Results</h3><div>Participants with diabetes were generally older and had higher BMI and cardiometabolic comorbidities than non-diabetes. ANOVA showed borderline UDI-6 differences in diabetes females and significant IPSS variation in both diabetes and non-diabetes males. Participants with diabetes demonstrated higher numerical frequencies of severe LUTS, nocturia, and incontinence; however, these differences were not statistically significant. Individuals with diabetes reported more storage symptoms, while non-diabetes had more voiding symptoms. Participants with diabetes demonstrated higher numerical frequencies of severe LUTS, nocturia, and incontinence; however, these differences were not statistically significant. however, these differences were not statistically significant.</div></div><div><h3>Conclusion</h3><div>Diabetes was associated with a higher numerical burden of storage-related LUTS and reduced quality of life; however, no independent association was observed after adjustment. Given the pilot nature and limited sample size, these findings should be interpreted as hypothesis-generating. Larger, longitudinal studies incorporating glycemic markers and urodynamic assessments are warranted to clarify metabolic contributions to LUTS</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 425-434"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991502","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}