Biomolecules & biomedicine最新文献

{"title":"Review of roles of RNA-binding proteins on NAFLD and the related pharmaceutical measures.","authors":"Changjin Li, Fan Yang, Zuohui Yuan, Xiaoguo Wei","doi":"10.17305/bb.2025.12465","DOIUrl":"https://doi.org/10.17305/bb.2025.12465","url":null,"abstract":"<p><p>Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide and poses a serious threat to public health. NAFLD is considered a risk factor for metabolic syndrome (MS) and is closely associated with type 2 diabetes mellitus (T2DM), obesity, dyslipidemia, and cardiovascular disease. Recently, increasing attention has been paid to the role of RNA-binding proteins (RBPs) in the pathogenesis of NAFLD. A growing body of research has linked RBPs-such as human antigen R (HuR), sequestosome 1 (p62), polypyrimidine tract-binding protein 1 (PTBP1), and heterogeneous nuclear ribonucleoproteins (hnRNPs)-to lipogenesis and inflammation, both of which contribute to NAFLD through mechanisms involving transcriptional regulation, alternative splicing, RNA stability, polyadenylation, and subcellular localization. However, these findings are often fragmented and lack a comprehensive synthesis. The interactions and mechanisms between RBPs and NAFLD have not yet been thoroughly reviewed. This article provides an overview of the roles and mechanisms of various RBPs in NAFLD, summarizing current knowledge with the aid of figures and tables. In particular, it highlights the influence of HuR on NAFLD through multiple pathways, categorizing its effects based on increased or decreased expression. Furthermore, it reviews drugs that alleviate NAFLD by modulating RBPs, aiming to offer valuable insights for drug-targeted therapies based on RBP regulatory networks.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112887","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 predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI.","authors":"Yuhong Fan, Kaixiang Sun, Yao Xiao, Peng Zhong, Yun Meng, Yang Yang, Zhenwei Du, Jingqin Fang","doi":"10.17305/bb.2025.12475","DOIUrl":"https://doi.org/10.17305/bb.2025.12475","url":null,"abstract":"<p><p>The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a core needle biopsy, which influences the efficacy of neoadjuvant chemotherapy (NAC). However, the highly heterogeneous nature of breast cancer and the limitations of needle aspiration biopsy increase the instability of pathological evaluation. The aim of this study was to predict HER2 status in preoperative breast cancer using deep learning (DL) models based on ultrasound (US) and magnetic resonance imaging (MRI). The study included women with invasive breast cancer who underwent US and MRI at our institution between January 2021 and July 2024. US images and dynamic contrast-enhanced T1-weighted MRI images were used to construct DL models (DL-US: the DL model based on US; DL-MRI: the model based on MRI; and DL-MRI&US: the combined model based on both MRI and US). All classifications were based on postoperative pathological evaluation. Receiver operating characteristic analysis and the DeLong test were used to compare the diagnostic performance of the DL models. In the test cohort, DL-US differentiated the HER2 status of breast cancer with an AUC of 0.842 (95% CI: 0.708-0.931), and sensitivity and specificity of 89.5% and 79.3%, respectively. DL-MRI achieved an AUC of 0.800 (95% CI: 0.660-0.902), with sensitivity and specificity of 78.9% and 79.3%, respectively. DL-MRI&US yielded an AUC of 0.898 (95% CI: 0.777-0.967), with sensitivity and specificity of 63.2% and 100.0%, respectively.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112880","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":"Green synthesis of plant-derived ZnO nanoparticles: Characterization, pharmacokinetics, molecular interactions, and <i>in-vitro</i> antimicrobial and antifungal evaluation.","authors":"Samira Jebahi, Riadh Badraoui, Ghada Ben Salah, Fadia Ben Taheur, Faten Brahmi, Mohsen Mhadhbi, Talel Bouhamda, Saoussen Jilani, Bandar Aloufi, Mohd Adnan, Arif J Siddiqui, Abdel Moneim E Sulieman, Ines Karmous","doi":"10.17305/bb.2025.12090","DOIUrl":"https://doi.org/10.17305/bb.2025.12090","url":null,"abstract":"<p><p>Nowadays, nanoparticles (NPs) are used to counteract various medicinal and industrial problems. This study aimed to biosynthesize zinc oxide NPs (ZnONPs) from the plant species Aloe vera L., Peganum harmala L., Retama monosperma L., and Thymelaea hirsuta L. The biosynthesized ZnONPs were referred to as \"Thymhirs.bio-ZnONP,\" \"Aloever.bio-ZnONP,\" \"Retam.bio-ZnONP,\" and \"Harm.bio-ZnONP.\" A UV-visible spectrophotometer, granulometry, Fourier transform infrared spectroscopy, and electron paramagnetic resonance were used for physicochemical characterization. Pharmacokinetics and antimicrobial effects were explored using combined in vitro and computational assays. An abundance of phenolic acids and flavonoids was observed, particularly rutin, quinic acid, apigenin-7-O-glucoside, and cirsiliol, which may act as reducing, stabilizing, and capping agents in the biosynthesis. ZnONPs demonstrated strong antimicrobial activity against various bacterial, fungal, and yeast strains, highlighting their potential medicinal applications. This inhibitory activity can be attributed to the effect of the plant-based ZnO nanosized particles more than to the plant extracts or Zn salt. Computational modeling revealed that the identified phytochemicals (phenolic acids and flavonoids) bound Tyrosyl-tRNA Synthetase (TyrRS) from S. aureus (1JIJ), aspartic proteinase from C. albicans (2QZW), and wheat germ agglutinin (2UVO) with considerable affinities, which, together with molecular interactions and pharmacokinetics, satisfactorily support the in vitro antimicrobial findings. This study lays the groundwork for future research and pharmaceutical explorations aimed at harnessing the likely beneficial properties of green-synthesized ZnONPs for medicinal and therapeutic purposes, particularly their antimicrobial effects.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112884","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":"Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.","authors":"Haoxun Zhang, Guoling Zhang, Chunyang Wang","doi":"10.17305/bb.2025.12335","DOIUrl":"https://doi.org/10.17305/bb.2025.12335","url":null,"abstract":"<p><p>Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes significant burdens on both quality of life and healthcare systems. Emerging evidence implicates systemic inflammation in OAB pathogenesis; however, the role of complete blood count (CBC)-derived inflammatory biomarkers remains underexplored. This cross-sectional study analyzed data from 35,394 participants in the National Health and Nutrition Examination Survey (NHANES, 2005-2020) to evaluate associations between CBC-derived biomarkers-such as the Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Neutrophil-to-Lymphocyte Ratio (NLR)-and OAB (defined by an OAB Symptom Score ≥3). Multivariable logistic regression, threshold analysis, and machine learning models (Random Forest [RF], Extreme Gradient Boosting) were employed, adjusting for sociodemographic, lifestyle, and clinical covariates. Elevated levels of SII, SIRI, NLR, Monocyte-to-Lymphocyte Ratio (MLR), and Neutrophil-MLR (NMLR) were significantly associated with increased OAB risk (all P < 0.05), with adjusted odds ratios for the highest quartiles ranging from 1.21 (SII; 95% CI: 1.10-1.34) to 1.31 (NMLR; 1.19-1.44). Nonlinear associations were observed, with inflection points (e.g., NLR = 1.071, MLR = 0.174) marking abrupt increases in risk. RF models showed strong predictive performance (area under the curve = 0.89 for training; 0.76 for testing), identifying SII and SIRI as key predictors. Subgroup analyses demonstrated consistent associations across most demographic groups, with the exception of hyperlipidemia, which modified the effects of SIRI, NLR, and NMLR. These findings highlight the role of systemic inflammation in OAB and suggest that CBC-derived biomarkers could serve as cost-effective tools for risk stratification. The integration of epidemiological analysis and machine learning enhances our understanding of OAB's inflammatory underpinnings, although longitudinal studies are needed to establish causal relationships and therapeutic implications.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082488","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":"UPP1 and AHSA1 as emerging biomarkers and targets in pancreatic cancer: A proteomic approach.","authors":"Kongfan Zhu, Hua Hu, Yuanfa Tao, Zhijian Yang, Hanjun Li","doi":"10.17305/bb.2025.11958","DOIUrl":"https://doi.org/10.17305/bb.2025.11958","url":null,"abstract":"<p><p>The specific protein targets involved in pancreatic cancer (PC) pathogenesis and its varying levels of differentiation remain incompletely understood. Advanced proteomic methodologies provide a powerful means of identifying key regulatory proteins and signaling pathways central to cancer progression. In this study, proteomic analyses were performed on PC tissue samples of different differentiation grades, along with adjacent non-cancerous (para-PC) tissues. Bioinformatics techniques were used to identify differentially expressed proteins (DEPs) and their associated pathways. Key target proteins were validated using the Gene Expression Profiling Interactive Analysis (GEPIA) database, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), Western blotting, immunohistochemistry (IHC), and immunofluorescence (IF). A total of 431 DEPs were identified between PC and para-PC tissues, while 470 DEPs distinguished poorly differentiated (PD) from moderately differentiated (MD) PCs. Functional enrichment analysis revealed that these DEPs participate in various biological processes and signaling pathways. Five DEPs were common to both comparisons, with Uridine Phosphorylase 1 (UPP1), Lactamase Beta, and Activator of HSP90 ATPase Activity 1 (AHSA1) showing particularly notable differences. UPP1 and AHSA1 were significantly upregulated in PC tissues relative to adjacent tissues and exhibited even higher expression in PD-PCs compared to MD ones. These findings were consistently supported by GEPIA, RT-qPCR, Western blotting, IHC, and IF analyses. This study identifies UPP1 and AHSA1 as key proteins linked to PC differentiation and progression, highlighting their potential as diagnostic markers and therapeutic targets. These insights enhance our understanding of the molecular mechanisms underlying PC and open new avenues for precision treatment strategies.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000407","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":"LncRNA interactomes and co-methylation in breast cancer regulation.","authors":"Elena A Filippova, Irina V Pronina, Svetlana S Lukina, Alexey M Burdennyy, Tatiana P Kazubskaya, Vitaly I Loginov, Eleonora A Braga","doi":"10.17305/bb.2025.12333","DOIUrl":"https://doi.org/10.17305/bb.2025.12333","url":null,"abstract":"<p><p>Breast cancer is the most commonly diagnosed malignancy in women. Despite advances in diagnostics and treatment, the key molecular mechanisms underlying its development remain incompletely understood. This study aimed to identify novel lncRNA-miRNA-mRNA regulatory networks potentially involved in breast cancer-associated signaling pathways. Using an RT² lncRNA PCR Array and bioinformatic analysis, we identified seven differentially expressed (DE) lncRNAs. Four of these-ADAMTS9-AS2, HAND2-AS1, HOTAIRM1, and MEG3-were prioritized through integrative evaluation. qPCR confirmed their downregulation and aberrant methylation in breast tumor samples. We observed significant positive expression correlations between the pairs ADAMTS9-AS2-MEG3, HAND2-AS1-MEG3, and HOTAIRM1-MEG3, as well as co-methylation among ADAMTS9-AS2-HAND2-AS1, ADAMTS9-AS2-HOTAIRM1, HAND2-AS1-MEG3, and HAND2-AS1-HOTAIRM1, suggesting coordinated regulation. These findings are consistent with data from GEPIA 2.0. Bioinformatic prediction identified TCF7L2 as a common target gene of these lncRNAs, which is involved in the Wnt, Hippo, and MAPK signaling pathways. We also identified several miRNAs interacting with ADAMTS9-AS2. In a cohort of 50 tumor samples, we confirmed inverse associations between ADAMTS9-AS2 expression and levels of miR-106a-5p (rs = -0.46, p = 0.03) and miR-17-5p (rs = -0.41, p = 0.04). Collectively, these findings reveal novel co-regulated lncRNA-miRNA axes and suggest their involvement in key signaling networks in breast cancer, providing a foundation for future functional studies and potential therapeutic targeting.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065420","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":"WFDC3 identified as a prognostic and immune biomarker in pancreatic cancer.","authors":"Bohan Liu, Xuqing Shi, Tianqi Liu, Huanwen Wu, Zhiyong Liang","doi":"10.17305/bb.2025.12444","DOIUrl":"https://doi.org/10.17305/bb.2025.12444","url":null,"abstract":"<p><p>The whey acidic protein four-disulfide core (WFDC) family comprises key modulators of tumor initiation and progression, offering significant potential for diagnostic, prognostic, and therapeutic applications. However, the specific role of WFDCs in the oncogenesis of pancreatic cancer (pancreatic adenocarcinoma [PAAD]) remains incompletely understood. To address this, we conducted an initial investigation using comprehensive bioinformatic analyses to evaluate WFDCs expression patterns across multiple tumor types, with a focus on PAAD. Bulk and single-cell RNA sequencing datasets from the TCGA and GEO repositories were analyzed to assess WFDC3 expression in PAAD tissues. Kaplan-Meier survival analysis was employed to determine the prognostic significance of WFDC3. To explore its biological functions and underlying mechanisms, we performed functional enrichment analyses in combination with immune infiltration assessments. Experimental validation included CCK-8 and EdU proliferation assays, transwell migration and invasion tests, immunofluorescence staining, flow cytometry, LDH release assays, Western blotting, and quantitative reverse transcription PCR. A LASSO regression model was also developed to predict PAAD outcomes. Our findings reveal that WFDCs exhibit context-dependent roles in tumor progression. Specifically, WFDC3 expression was significantly elevated in PAAD and associated with poorer patient prognosis. Functionally, WFDC3 promoted PAAD cell metastasis by inducing epithelial-mesenchymal transition and contributed to immune evasion by suppressing T cell cytotoxicity. In conclusion, our study identifies WFDC3 as a pro-oncogenic factor in PAAD progression, highlighting its potential as both a prognostic biomarker and a therapeutic target for regulating metastasis and immune responses in this malignancy.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059826","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":"Therapeutic effects of chlorogenic acid on allergic rhinitis through TLR4/MAPK/NF-κB pathway modulation.","authors":"Xiaoyan Xu, Lei Wang, Guangyao Wu, Xixia Li","doi":"10.17305/bb.2024.11582","DOIUrl":"10.17305/bb.2024.11582","url":null,"abstract":"<p><p>Chlorogenic acid (CGA) exhibits promising anti-inflammatory properties, making it a potential therapeutic agent for inflammatory conditions and allergic rhinitis (AR). This study aimed to evaluate the therapeutic effects of CGA on inflammation in RAW264.7 macrophage cells and on AR in mice. RAW264.7 cells were treated with lipopolysaccharide (LPS) to induce inflammation and cultured with varying concentrations of CGA, a Tlr4-silenced gene (shTlr4) transfection, and the MAPK/NF-κB pathway activator diprovocim. Cell viability was assessed using the CCK8 assay, while levels of nitric oxide (NO), TNF-α, and IL-6 were measured by Griess colorimetry, immunofluorescence, and ELISA. Expression and phosphorylation levels of the MAPK/NF-κB pathway were evaluated using qPCR and western blotting. Additionally, ovalbumin (OVA)-induced AR mice received different doses of CGA, and Toll-like receptor-4 (Tlr4) overexpression was induced. In vitro, CGA treatment significantly reduced LPS-induced cell activity, NO, TNF-α, and IL-6 secretion, and downregulated Tlr4, p-p38, p-p65, and p-IκB expression. Tlr4 inhibition suppressed cell activity and inflammation by blocking MAPK/NF-κB pathway activation. Conversely, Tlr4 overexpression counteracted the effects of CGA, increasing cell activity and inflammatory factor concentration. In OVA-induced AR mice, CGA effectively alleviated allergic symptoms, reduced inflammatory factor secretion, and inhibited TLR4/MAPK/NF-κB pathway activity. These findings suggest CGA's potential as an anti-inflammatory agent in RAW264.7 cells and AR models through modulation of the TLR4/MAPK/NF-κB pathway.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1571-1580"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097400/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933952","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":"NEWS, SIRS and qSOFA criteria for predicting sepsis and sepsis with high risk of death in emergency room: A comparison study and improved predictive models based on local data from CETAT and MIMIC-IV databases.","authors":"Wenwen Wang, Kaipeng Wang, Yueguo Wang, Qingyuan Liu, Jian Sun, Ronghua Shi, Sicheng Liu, Huanli Wang, Yuan Yuan, Jun Xu, Kui Jin, Yixin Zhang","doi":"10.17305/bb.2024.11134","DOIUrl":"10.17305/bb.2024.11134","url":null,"abstract":"<p><p>Early identification of sepsis in emergency department patients is critical for initiating timely interventions, highlighting the need for effective predictive scoring systems. A retrospective observational study was conducted using data from the CETAT database collected between December 2019 and October 2021. The study evaluated how well the systemic inflammatory response syndrome (SIRS), quick Sepsis-related Organ Failure Assessment (qSOFA), and National Early Warning Score (NEWS) scoring systems, along with logistic regression models, predict sepsis, and high-risk sepsis in emergency department patients. The logistic regression models were further optimized by incorporating additional features based on local data. A total of 12,799 patients were analyzed, including 1360 sepsis cases, of which 373 were classified as high-risk sepsis. The NEWS score demonstrated superior predictive performance compared to qSOFA and SIRS, with an area under the receiver operating characteristic curve (AUC-ROC) of 0.737 (95% confidence interval [CI] 0.72-0.75) for sepsis and 0.653 (95% CI 0.62-0.69) for high risk sepsis . After optimization, the NEWS-based model improved to an AUC-ROC of 0.756 (95% CI 0.74-0.77) for sepsis and 0.718 (95% CI 0.69-0.75) for high-risk sepsis. Further enhancement was observed with the inclusion of additional clinical variables, resulting in AUC-ROC values of 0.834 (95% CI 0.82-0.85) for sepsis and 0.756 (95% CI 0.73-0.78) for high-risk sepsis. Data from the Medical Information Mart for Intensive Care (MIMIC)-IV database, which included sepsis status and relevant variables for SIRS, qSOFA, and NEWS score calculations, confirmed that the optimized NEWS-based model improved the sepsis prediction AUC-ROC from 0.690 (95% CI 0.68-0.70) to 0.708 (95% CI 0.70-0.72), and consistently outperformed qSOFA and SIRS in sepsis prediction.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1470-1478"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607634","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":"Role of MMP-2, MMP-9, TIMP-1, and TIMP-2 in children with ventricular septal defect.","authors":"Nina Maric, Ines Mrakovcic Sutic, Jelica Predojevic Samardzic, Dario Djukic, Aleksandar Bulog, Ivana Sutic","doi":"10.17305/bb.2024.11162","DOIUrl":"10.17305/bb.2024.11162","url":null,"abstract":"<p><p>Ventricular septal defect (VSD) is the second most common congenital heart anomaly. In most cases, it closes spontaneously in the first year of life, but it sometimes requires surgical closure due to the risk of serious complications. This is why it is important to identify markers that could help predict its course. Findings that matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) play an important role in the cleavage of the extracellular matrix were the reasons to investigate their role in cardiogenesis. In prior studies on this topic, their concentrations were studied in the blood. The aim of this prospective study was to investigate the role of MMP-2, MMP-9, TIMP-1, and TIMP-2 in the etiology and pathophysiology of VSD using urine samples, as an innovative non-invasive approach, and the enzyme-linked immunosorbent assay (ELISA) method. It involved 52 children with isolated VSD and 20 healthy children up to one year of age. We found that these MMPs and TIMPs are significantly (P = 0.000) higher in children with VSD, and the correlations between their concentrations and the size of the defect are positive, especially for MMP-9 and TIMP-1. MMP-9 was significantly (P = 0.044) higher in cases in which VSD did not close in the first year of life compared to cases in which it closed. Our results suggest the role of MMP-2, MMP-9, TIMP-1, and TIMP-2 in the aetiopathogenesis of VSD and that their urinary concentrations, especially of MMP-9, in combination with echocardiographic and clinical monitoring, could be useful in predicting its natural course.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1459-1469"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097395/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513929","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}