This study aims to investigate the potential interplay between circ_WHSC1 and miR-145-5p in breast cancer pathogenesis using in silico tools, assess their clinical relevance, and evaluate the diagnostic utility of circ_WHSC1 in clinical samples as a biomarker for breast cancer.
Materials and methods
This multi-component study employed a combination of bioinformatic analyses and laboratory validation. First, in silico tools were used to investigate miR-145-5p and circ_WHSC1 using public databases. Subsequently, their expression, correlation, and clinical relevance were experimentally assessed in a cohort of breast cancer patients.
Results
Circ_WHSC1 level was significantly higher in breast tumor compared with patient-matched adjacent normal tissues (4.17-fold change, p-value <0.01). Additionally, significant reduction of miR-145-5p (9.11-fold downregulation, p-value <0.01) level was detected in breast tumors compared with neighboring non-tumor tissues. A weak negative correlation was detected between levels of circ_WHSC1 and miR-145-5p (r = −0.314, p-value <0.05). Circ_WHSC1 may serve as a weak biomarker for breast cancer (AUC = 0.683; p-value <0.01) with 71 % specificity and 70 % sensitivity. Up-regulation of circ_WHSC1 in breast tumor was linked with lymph node invasion (p-value = 0.005), HER2 negativity (p-value = 0.031) and positive family history (p-value = 0.012).
Conclusion
Cumulatively, circ_WHSC1/miR-145-5p can be suggested as a potential molecular axis contributing to the pathogenesis of breast cancer. However, further functional assays are needed to validate this hypothesis.
{"title":"Potential role of circ_WHSC1 and miR-145-5p in breast cancer promotion","authors":"Maryam Abtin , Asghar Hosseinzadeh , Nahid Nafisi , Ramesh Omranipour , Leyla Sahebi , Mohsen Ahmadi , Soudeh Ghafouri-Fard , Abbas Shakoori","doi":"10.1016/j.bbrep.2026.102472","DOIUrl":"10.1016/j.bbrep.2026.102472","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aims to investigate the potential interplay between <em>circ_WHSC1</em> and <em>miR-145-5p</em> in breast cancer pathogenesis using <em>in silico</em> tools, assess their clinical relevance, and evaluate the diagnostic utility of <em>circ_WHSC1</em> in clinical samples as a biomarker for breast cancer.</div></div><div><h3>Materials and methods</h3><div>This multi-component study employed a combination of bioinformatic analyses and laboratory validation. First, <em>in silico</em> tools were used to investigate <em>miR-145-5p</em> and <em>circ_WHSC1</em> using public databases. Subsequently, their expression, correlation, and clinical relevance were experimentally assessed in a cohort of breast cancer patients.</div></div><div><h3>Results</h3><div><em>Circ_WHSC1</em> level was significantly higher in breast tumor compared with patient-matched adjacent normal tissues (4.17-fold change, p-value <0.01). Additionally, significant reduction of <em>miR-145-5p</em> (9.11-fold downregulation, p-value <0.01) level was detected in breast tumors compared with neighboring non-tumor tissues. A weak negative correlation was detected between levels of <em>circ_WHSC1</em> and <em>miR-145-5p</em> (r = −0.314, p-value <0.05). <em>Circ_WHSC1</em> may serve as a weak biomarker for breast cancer (AUC = 0.683; p-value <0.01) with 71 % specificity and 70 % sensitivity. Up-regulation of <em>circ_WHSC1</em> in breast tumor was linked with lymph node invasion (p-value = 0.005), HER2 negativity (p-value = 0.031) and positive family history (p-value = 0.012).</div></div><div><h3>Conclusion</h3><div>Cumulatively, <em>circ_WHSC1/miR-145-5p</em> can be suggested as a potential molecular axis contributing to the pathogenesis of breast cancer. However, further functional assays are needed to validate this hypothesis.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102472"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146073715","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 : 2026-03-01Epub Date: 2026-02-02DOI: 10.1016/j.bbrep.2026.102446
Tahani Ahmad ALMatrafi
Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous malignancy, posing major challenges for early diagnosis, prognostic prediction, and therapeutic intervention. The Runt-related transcription factor (RUNX) family, comprising RUNX1, RUNX2, and RUNX3, plays essential roles in cellular processes and contribute to the pathogenesis of numerous malignancies. This study aims to elucidate their role in tumor progression and its clinical implications. We performed an integrative pan-cancer multi-omics analysis across 33 cancer types to characterize RUNX family expression patterns, prognostic associations, and immune correlations using publicly available datasets. Expression and functional roles were experimentally validated in HCC through in vitro and in vivo assays. Relationships between RUNX1 expression and clinical stage, immune subtypes, checkpoint gene expression, immunotherapy sensitivity, and immune-related co-expression networks were assessed. The prognostic significance of RUNX1 was determined using Kaplan–Meier survival analysis, Cox regression, and ROC curve evaluation. Transcriptional regulation was investigated via bioinformatic tools, database interrogation, and chromatin immunoprecipitation (ChIP) assays. Functional studies were conducted to determine the effects of RUNX1 knockdown on HCC cell proliferation, migration, and invasion. RUNX1 was upregulated in multiple tumor types, including breast, lung, liver, and brain cancers, and its elevated expression correlated with poorer overall (OS) and disease-specific survival (DSS). In HCC, RUNX1 expression was significantly associated with advanced clinical stage, distinct immune subtypes, and altered checkpoint expression profiles, indicating a role in shaping the tumor immune microenvironment. Mechanistically, MUC13 was identified as a direct transcriptional target of RUNX1, as confirmed by promoter-binding prediction, ChIP validation, and dual-luciferase assays. RUNX1 knockdown suppressed HCC cell proliferation, migration, and invasion by attenuating Wnt/β-catenin/EMT signaling activity. These findings highlight RUNX1 as a potential prognostic biomarker and therapeutic target, offering mechanistic insight into HCC pathogenesis and avenues for improved precision oncology.
{"title":"Comprehensive multi-omics analysis reveals RUNX1's prognostic value, immune associations, and MUC13-Mediated mechanistic role in hepatocellular carcinoma pathogenesis","authors":"Tahani Ahmad ALMatrafi","doi":"10.1016/j.bbrep.2026.102446","DOIUrl":"10.1016/j.bbrep.2026.102446","url":null,"abstract":"<div><div>Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous malignancy, posing major challenges for early diagnosis, prognostic prediction, and therapeutic intervention. The Runt-related transcription factor (RUNX) family, comprising RUNX1, RUNX2, and RUNX3, plays essential roles in cellular processes and contribute to the pathogenesis of numerous malignancies. This study aims to elucidate their role in tumor progression and its clinical implications. We performed an integrative pan-cancer multi-omics analysis across 33 cancer types to characterize RUNX family expression patterns, prognostic associations, and immune correlations using publicly available datasets. Expression and functional roles were experimentally validated in HCC through <em>in vitro</em> and <em>in vivo</em> assays. Relationships between <em>RUNX1</em> expression and clinical stage, immune subtypes, checkpoint gene expression, immunotherapy sensitivity, and immune-related co-expression networks were assessed. The prognostic significance of <em>RUNX1</em> was determined using Kaplan–Meier survival analysis, Cox regression, and ROC curve evaluation. Transcriptional regulation was investigated via bioinformatic tools, database interrogation, and chromatin immunoprecipitation (ChIP) assays. Functional studies were conducted to determine the effects of <em>RUNX1</em> knockdown on HCC cell proliferation, migration, and invasion. <em>RUNX1</em> was upregulated in multiple tumor types, including breast, lung, liver, and brain cancers, and its elevated expression correlated with poorer overall (OS) and disease-specific survival (DSS). In HCC, RUNX1 expression was significantly associated with advanced clinical stage, distinct immune subtypes, and altered checkpoint expression profiles, indicating a role in shaping the tumor immune microenvironment. Mechanistically, <em>MUC13</em> was identified as a direct transcriptional target of <em>RUNX1</em>, as confirmed by promoter-binding prediction, ChIP validation, and dual-luciferase assays. <em>RUNX1</em> knockdown suppressed HCC cell proliferation, migration, and invasion by attenuating Wnt/β-catenin/EMT signaling activity. These findings highlight RUNX1 as a potential prognostic biomarker and therapeutic target, offering mechanistic insight into HCC pathogenesis and avenues for improved precision oncology.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102446"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146163867","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 : 2026-03-01Epub Date: 2025-12-12DOI: 10.1016/j.bbrep.2025.102411
Aynaz Khalafi, Fatemeh Safari
The second most prevalent cause of mortality worldwide is cancer. Pancreatic cancer, known as the “king of cancers” due to its unfavorable prognosis and absence of symptoms, is among the fatal types of cancer. Despite the availability of various cancer therapy options, current strategies are often ineffective. Therefore, there is a constant need to explore novel platforms with low side effects and high efficacy. The application of stem cells or their derivatives in treating diseases including cancer, has become well-established. This study, focuses on investigating the effects of the secretome of human mesenchymal stem cells (hAMSCs) on Panc1 pancreatic cancer cells through the tumor necrosis factor-alpha (TNF-α)/nuclear factor-κB (NF-κB)/Caspase 3 signaling pathways. A co-culture system using 6-well plates transwell was utilized for this purpose. After 72 h, cell death in hAMSCs-treated Panc1 cells was analyzed through the TNF-α/NF-κB (p50/p65)/Caspase 3 signaling pathways using Western blot and enzyme-linked immunosorbent assay (ELISA). DAPI staining was used to visualize cell death in hAMSCs-treated Panc1 cells. The results showed an up-regulation of TNF-α, IL-1β, IL-8, p-IKK, p-IKKα, p-IKKβ, p-IκB, p53, PUMA, Caspase 3, and NF-κB (p50/p65) as well as a down-regulation of IKβ. These findings suggest that the secretome of hAMSCs promotes both inflammation and apoptosis in Panc1 pancreatic cancer cells simultaneously.
{"title":"Exploring the impact of hAMSCs secretome on Panc1 cells via TNF-α/NF-κB (p50/p65)/Caspase 3 signaling pathways: An in vitro study","authors":"Aynaz Khalafi, Fatemeh Safari","doi":"10.1016/j.bbrep.2025.102411","DOIUrl":"10.1016/j.bbrep.2025.102411","url":null,"abstract":"<div><div>The second most prevalent cause of mortality worldwide is cancer. Pancreatic cancer, known as the “king of cancers” due to its unfavorable prognosis and absence of symptoms, is among the fatal types of cancer. Despite the availability of various cancer therapy options, current strategies are often ineffective. Therefore, there is a constant need to explore novel platforms with low side effects and high efficacy. The application of stem cells or their derivatives in treating diseases including cancer, has become well-established. This study, focuses on investigating the effects of the secretome of human mesenchymal stem cells (hAMSCs) on Panc1 pancreatic cancer cells through the tumor necrosis factor-alpha (TNF-α)/nuclear factor-κB (NF-κB)/Caspase 3 signaling pathways. A co-culture system using 6-well plates transwell was utilized for this purpose. After 72 h, cell death in hAMSCs-treated Panc1 cells was analyzed through the TNF-α/NF-κB (p50/p65)<strong>/</strong>Caspase 3 signaling pathways using Western blot and enzyme-linked immunosorbent assay (ELISA). DAPI staining was used to visualize cell death in hAMSCs-treated Panc1 cells. The results showed an up-regulation of TNF-α, IL-1β, IL-8, p-IKK, p-IKKα, p-IKKβ, p-IκB, p53, PUMA, Caspase 3, and NF-κB (p50/p65) as well as a down-regulation of IKβ. These findings suggest that the secretome of hAMSCs promotes both inflammation and apoptosis in Panc1 pancreatic cancer cells simultaneously.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102411"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747998","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 : 2026-03-01Epub Date: 2025-12-15DOI: 10.1016/j.bbrep.2025.102415
Sukyoung Han , Myeongwoo Jung , Seungyeon Ryu , Seongho Cha , Hyosun Tak , Seung Min Jeong , Eun Kyung Lee
We investigated HuD (ELAVL4), a neuronal RNA-binding protein with emerging endocrine functions, as a regulator of GLP-1 biogenesis in intestinal L-cells. Using absolute qPCR and immunofluorescence, we found that HuD was significantly expressed in the GLUTag cells derived from mice intestinal L-cell line and was co-localized with GLP-1-positive cells in the small intestine of mice. RNA interference-mediated HuD knockdown reduced both GLP-1 immunoreactivity and levels. Mechanistically, RNA immunoprecipitation and biotinylated 3′UTR pull-down demonstrated that HuD binds to the mRNAs of the Gcg and Pcsk1 (PC1/3) genes. The levels of the proglucagon (∼17 kDa) and PC1/3 proteins decreased without significant changes in their mRNAs, suggesting post-transcriptional control. Metabolic stress converged on this module: palmitate decreased proglucagon/PC1/3 in GLUTag cells, and a high-fat diet reduced GLP-1 and PC1/3 signals in the mouse intestine. Interestingly, zinc sulfate partially restored proglucagon and PC1/3 levels following palmitate treatment. These findings reveal a HuD–Gcg/Pcsk1 axis is crucial for GLP-1 biogenesis and which is susceptible to lipotoxic stress.
{"title":"RNA binding protein HuD regulates the biosynthesis of glucagon-like peptide 1 in intestinal L-cells","authors":"Sukyoung Han , Myeongwoo Jung , Seungyeon Ryu , Seongho Cha , Hyosun Tak , Seung Min Jeong , Eun Kyung Lee","doi":"10.1016/j.bbrep.2025.102415","DOIUrl":"10.1016/j.bbrep.2025.102415","url":null,"abstract":"<div><div>We investigated HuD (ELAVL4), a neuronal RNA-binding protein with emerging endocrine functions, as a regulator of GLP-1 biogenesis in intestinal L-cells. Using absolute qPCR and immunofluorescence, we found that HuD was significantly expressed in the GLUTag cells derived from mice intestinal L-cell line and was co-localized with GLP-1-positive cells in the small intestine of mice. RNA interference-mediated HuD knockdown reduced both GLP-1 immunoreactivity and levels. Mechanistically, RNA immunoprecipitation and biotinylated 3′UTR pull-down demonstrated that HuD binds to the mRNAs of the <em>Gcg</em> and <em>Pcsk1</em> (PC1/3) genes. The levels of the proglucagon (∼17 kDa) and PC1/3 proteins decreased without significant changes in their mRNAs, suggesting post-transcriptional control. Metabolic stress converged on this module: palmitate decreased proglucagon/PC1/3 in GLUTag cells, and a high-fat diet reduced GLP-1 and PC1/3 signals in the mouse intestine. Interestingly, zinc sulfate partially restored proglucagon and PC1/3 levels following palmitate treatment. These findings reveal a HuD–<em>Gcg</em>/<em>Pcsk1</em> axis is crucial for GLP-1 biogenesis and which is susceptible to lipotoxic stress.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102415"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797523","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 : 2026-03-01Epub Date: 2026-01-31DOI: 10.1016/j.bbrep.2026.102460
Zhaofeng Liang , Yuning Gu , Jiajia Song , Wenhui Yang , Xuezhong Xu
Small RNAs (sRNAs) in plant-derived exosome-like nanoparticles (PELNs) have attracted considerable attention as biologically active substances that play a crucial role in cross-kingdom regulatory processes. However, there is insufficient research dedicated to identifying sRNAs within PELNs. We aimed to analyze the expression profile of sRNAs in onion-derived exosomes-like nanoparticles (OELNs) and explore their potential role in cross-kingdom regulation. In this study, OELNs were extracted, possessing an optimal particle size of approximately 139 nm and a Zeta potential of roughly −20 mV. Subsequently, high-throughput small RNA sequencing was conducted to analyze sRNAs in onion tissues and OELNs. The expression profile of sRNAs in OELNs was elucidated, and it was predicted that highly expressed microRNAs (miRNAs) in OELNs may exert potential regulatory effects on the human genome. By comparing with the reference genome of onion (Allium cepa L.), 11 known miRNAs and 248 novel miRNAs were identified in both onion tissues and OELNs. Target gene prediction analysis of the human genome has revealed that 20 miRNAs highly expressed in OELNs potentially participate in the regulation of human tumor and cardiovascular-related signaling pathways. Furthermore, differential analysis was conducted on small/short interfering RNA (siRNA), small nucleolar RNA (snoRNA), and transfer ribonucleic acid (tRNA) in OELNs. This study laid a theoretical foundation for further exploring the cross-kingdom role of non-coding RNAs in OELNs, and provided new ideas for the development of plant-derived functional components.
{"title":"Identification and analysis of small RNAs in exosome-like nanoparticles derived from onion (Allium cepa L.)","authors":"Zhaofeng Liang , Yuning Gu , Jiajia Song , Wenhui Yang , Xuezhong Xu","doi":"10.1016/j.bbrep.2026.102460","DOIUrl":"10.1016/j.bbrep.2026.102460","url":null,"abstract":"<div><div>Small RNAs (sRNAs) in plant-derived exosome-like nanoparticles (PELNs) have attracted considerable attention as biologically active substances that play a crucial role in cross-kingdom regulatory processes. However, there is insufficient research dedicated to identifying sRNAs within PELNs. We aimed to analyze the expression profile of sRNAs in onion-derived exosomes-like nanoparticles (OELNs) and explore their potential role in cross-kingdom regulation. In this study, OELNs were extracted, possessing an optimal particle size of approximately 139 nm and a Zeta potential of roughly −20 mV. Subsequently, high-throughput small RNA sequencing was conducted to analyze sRNAs in onion tissues and OELNs. The expression profile of sRNAs in OELNs was elucidated, and it was predicted that highly expressed microRNAs (miRNAs) in OELNs may exert potential regulatory effects on the human genome. By comparing with the reference genome of onion (<em>Allium cepa L.</em>), 11 known miRNAs and 248 novel miRNAs were identified in both onion tissues and OELNs. Target gene prediction analysis of the human genome has revealed that 20 miRNAs highly expressed in OELNs potentially participate in the regulation of human tumor and cardiovascular-related signaling pathways. Furthermore, differential analysis was conducted on small/short interfering RNA (siRNA), small nucleolar RNA (snoRNA), and transfer ribonucleic acid (tRNA) in OELNs. This study laid a theoretical foundation for further exploring the cross-kingdom role of non-coding RNAs in OELNs, and provided new ideas for the development of plant-derived functional components.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102460"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146073824","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 : 2026-03-01Epub Date: 2026-01-19DOI: 10.1016/j.bbrep.2026.102445
Kun Liu , Xiao-Xuan Gong , Yong Li , Ming-Zhu Li , Chen Si , Lei Zhou
Loss of breast cancer susceptibility gene 2 (BRCA2) function was found to exacerbate doxorubicin-mediated cardiomyocyte apoptosis and promote heart failure progression. We hypothesized that upregulation of BRCA2 may alleviate hypertrophic cardiomyopathy. Hypertrophic cardiomyopathy was established in mice via chronic angiotensin II (Ang II) administration (1.44 mg/kg/day) using osmotic minipumps. Cardiac BRCA2 expression was significantly downregulated in Ang II-treated mice. Cardiac hypertrophy triggered by Ang II in mice was significantly attenuated upon BRCA2 overexpression. Similarly, in cultured primary cardiomyocytes, Ang II-induced hypertrophic responses were suppressed by BRCA2 upregulation. The cardiac fibrosis was significantly attenuated after upregulation of BRCA2 in Ang II-induced hypertrophic cardiomyopathy. The myocardial inflammatory response to Ang II, characterized by elevated interleukin (IL)-1β, IL-6, and tumor necrosis factor alpha (TNF-α) levels, was markedly reduced with BRCA2 overexpression. The apoptotic biomarkers including Bax and cleaved caspase 3 (CC3) increased in the heart of hypertrophic cardiomyopathy, and attenuated after upregulation of BRCA2. These results indicated that upregulation of BRCA2 could improve hypertrophic cardiomyopathy. BRCA2 alleviated cardiac hypertrophy via attenuation of inflammation and apoptosis.
{"title":"Breast cancer susceptibility gene 2 upregulation alleviated cardiac hypertrophy in angiotensin II-treated mice","authors":"Kun Liu , Xiao-Xuan Gong , Yong Li , Ming-Zhu Li , Chen Si , Lei Zhou","doi":"10.1016/j.bbrep.2026.102445","DOIUrl":"10.1016/j.bbrep.2026.102445","url":null,"abstract":"<div><div>Loss of breast cancer susceptibility gene 2 (BRCA2) function was found to exacerbate doxorubicin-mediated cardiomyocyte apoptosis and promote heart failure progression. We hypothesized that upregulation of BRCA2 may alleviate hypertrophic cardiomyopathy. Hypertrophic cardiomyopathy was established in mice via chronic angiotensin II (Ang II) administration (1.44 mg/kg/day) using osmotic minipumps. Cardiac BRCA2 expression was significantly downregulated in Ang II-treated mice. Cardiac hypertrophy triggered by Ang II in mice was significantly attenuated upon BRCA2 overexpression. Similarly, in cultured primary cardiomyocytes, Ang II-induced hypertrophic responses were suppressed by BRCA2 upregulation. The cardiac fibrosis was significantly attenuated after upregulation of BRCA2 in Ang II-induced hypertrophic cardiomyopathy. The myocardial inflammatory response to Ang II, characterized by elevated interleukin (IL)-1β, IL-6, and tumor necrosis factor alpha (TNF-α) levels, was markedly reduced with BRCA2 overexpression. The apoptotic biomarkers including Bax and cleaved caspase 3 (CC3) increased in the heart of hypertrophic cardiomyopathy, and attenuated after upregulation of BRCA2. These results indicated that upregulation of BRCA2 could improve hypertrophic cardiomyopathy. BRCA2 alleviated cardiac hypertrophy via attenuation of inflammation and apoptosis.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102445"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034562","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}
Cotton (Gossypium hirsutum L.) has experienced extensive breeding in recent decades, leading to a narrowed genetic base that presents challenges for accurate germplasm differentiation and cultivar authentication. This study primarily addresses the lack of reliable, scalable, and interpretable tools for distinguishing closely related Iranian cotton cultivars. To overcome this limitation, the research integrates inter-simple sequence repeat (ISSR) markers with machine learning (ML) algorithms to evaluate genetic diversity and establish diagnostic criteria for cultivar identification. Eighteen commercial cultivars were genotyped using 14 ISSR primers and binary scored data (presence/absence of bands) were used to calculate genetic diversity parameters, including the observed number of alleles (Na), effective number of alleles (Ne), Shannon's information index (I), and expected heterozygosity (He) were calculated. Primers 13, 10, and 26 were identified as the most informative loci, yielding the highest values across diversity parameters. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) clustering and principal coordinates analysis (PCoA) revealed five cultivar groups, with several accessions (e.g., Jahesh, Fakhr, Sahel) showing marked genetic distinctiveness. To enhance cultivar authentication, ISSR data were analyzed using ML classifiers. A decision tree model generated transparent band-based rules, while Random Forest feature selection highlighted key diagnostic loci (Primer24_525, Primer2_766). The combined framework achieved high classification accuracy and reproducibility, enabling reliable discrimination among closely related cultivars. These findings demonstrate the novelty and practical utility of integrating multilocus ISSR markers with ML for cultivar authentication, seed certification, and genetic resource management, while also highlighting previously underexplored genetic diversity that can inform cotton breeding programs in Iran.
{"title":"Integration of inter-simple sequence repeats with machine learning approach for diversity analysis and authentication of Iranian cotton cultivars","authors":"Rasmieh Hamid , Zahra Ghorbanzadeh , Bahman Panahi","doi":"10.1016/j.bbrep.2025.102435","DOIUrl":"10.1016/j.bbrep.2025.102435","url":null,"abstract":"<div><div>Cotton (<em>Gossypium hirsutum</em> L.) has experienced extensive breeding in recent decades, leading to a narrowed genetic base that presents challenges for accurate germplasm differentiation and cultivar authentication. This study primarily addresses the lack of reliable, scalable, and interpretable tools for distinguishing closely related Iranian cotton cultivars. To overcome this limitation, the research integrates inter-simple sequence repeat (ISSR) markers with machine learning (ML) algorithms to evaluate genetic diversity and establish diagnostic criteria for cultivar identification. Eighteen commercial cultivars were genotyped using 14 ISSR primers and binary scored data (presence/absence of bands) were used to calculate genetic diversity parameters, including the observed number of alleles (Na), effective number of alleles (Ne), Shannon's information index (I), and expected heterozygosity (He) were calculated. Primers 13, 10, and 26 were identified as the most informative loci, yielding the highest values across diversity parameters. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) clustering and principal coordinates analysis (PCoA) revealed five cultivar groups, with several accessions (e.g., Jahesh, Fakhr, Sahel) showing marked genetic distinctiveness. To enhance cultivar authentication, ISSR data were analyzed using ML classifiers. A decision tree model generated transparent band-based rules, while Random Forest feature selection highlighted key diagnostic loci (Primer24_525, Primer2_766). The combined framework achieved high classification accuracy and reproducibility, enabling reliable discrimination among closely related cultivars. These findings demonstrate the novelty and practical utility of integrating multilocus ISSR markers with ML for cultivar authentication, seed certification, and genetic resource management, while also highlighting previously underexplored genetic diversity that can inform cotton breeding programs in Iran.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102435"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938385","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 : 2026-03-01Epub Date: 2026-01-08DOI: 10.1016/j.bbrep.2025.102424
Mahshid Zamani , Nepton Soltani
Metformin, a widely used antidiabetic agent, exhibits pleiotropic effects extending beyond glycemic control, including the modulation of the extracellular matrix (ECM). Although traditional two-dimensional (2D) cell cultures have provided foundational insights, they inadequately replicate the complex tissue microenvironment in which metformin exerts its therapeutic actions. Emerging evidence underscores the pivotal role of ECM composition, stiffness, and cellular context in determining metformin's efficacy—particularly in cancer, fibrosis, and metabolic diseases. However, a comprehensive synthesis of its actions within physiologically relevant three-dimensional (3D) models remains lacking.
This mini-review addresses this gap by systematically analyzing the interplay between metformin and the ECM in advanced 3D cell culture systems. We focus on metformin's ability to reprogram stromal cells, modulate mechanotransduction pathways (e.g., AMPK/mTOR), and influence cell-ECM dynamics within specific disease contexts. Furthermore, we discuss the integration of metformin-loaded biomaterials with 3D platforms, highlighting their dual function as drug delivery vehicles and active components of disease models.
By synthesizing recent findings, this review emphasizes the bidirectional relationship between metformin and the ECM, positioning 3D culture models as indispensable tools for elucidating context-dependent drug responses. We also identify key challenges, including the lack of standardized ECM-based systems and the underrepresentation of immune and vascular components, and propose future directions for translating these models into personalized therapeutic strategies. This work underscores the necessity of moving beyond conventional 2D paradigms to fully harness metformin's therapeutic potential through the adoption of 3D ECM-based systems.
{"title":"The role of metformin in extracellular matrix-based three-dimensional cell culture Models: A mini-review on therapeutic potentials","authors":"Mahshid Zamani , Nepton Soltani","doi":"10.1016/j.bbrep.2025.102424","DOIUrl":"10.1016/j.bbrep.2025.102424","url":null,"abstract":"<div><div>Metformin, a widely used antidiabetic agent, exhibits pleiotropic effects extending beyond glycemic control, including the modulation of the extracellular matrix (ECM). Although traditional two-dimensional (2D) cell cultures have provided foundational insights, they inadequately replicate the complex tissue microenvironment in which metformin exerts its therapeutic actions. Emerging evidence underscores the pivotal role of ECM composition, stiffness, and cellular context in determining metformin's efficacy—particularly in cancer, fibrosis, and metabolic diseases. However, a comprehensive synthesis of its actions within physiologically relevant three-dimensional (3D) models remains lacking.</div><div>This mini-review addresses this gap by systematically analyzing the interplay between metformin and the ECM in advanced 3D cell culture systems. We focus on metformin's ability to reprogram stromal cells, modulate mechanotransduction pathways (e.g., AMPK/mTOR), and influence cell-ECM dynamics within specific disease contexts. Furthermore, we discuss the integration of metformin-loaded biomaterials with 3D platforms, highlighting their dual function as drug delivery vehicles and active components of disease models.</div><div>By synthesizing recent findings, this review emphasizes the bidirectional relationship between metformin and the ECM, positioning 3D culture models as indispensable tools for elucidating context-dependent drug responses. We also identify key challenges, including the lack of standardized ECM-based systems and the underrepresentation of immune and vascular components, and propose future directions for translating these models into personalized therapeutic strategies. This work underscores the necessity of moving beyond conventional 2D paradigms to fully harness metformin's therapeutic potential through the adoption of 3D ECM-based systems.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102424"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938481","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}
Clear cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal malignancies, distinguished by its aggressive nature and poor prognosis in advanced stages. Identifying prognostic biomarkers and unraveling underlying molecular events contributing to ccRCC pathogenesis is crucial for developing precise prognostic models and tailored therapeutic interventions. The objective of this research was to identify differentially expressed genes (DEGs), construct protein-protein interaction networks, pinpoint hub genes and enriched pathways, assess the prognostic relevance of these hub genes, and predict upstream regulators, thereby providing insights into the onset and progression of ccRCC.
Methods
The GSE66270 dataset was reanalyzed to uncover DEGs between 14 ccRCC tumors and 14 normal tissues. Hub genes, clusters, and enriched functional categories were identified from the protein-protein interaction network. Survival analysis was performed to assess the prognostic relevance of the identified hub genes. An upstream transcription factor network was generated using the iRegulon plugin. Expression of hub genes in six cancer and six normal renal tissues was confirmed via real-time PCR.
Results
A prognostic signature comprising five genes—FCGR1A, FOXM1, TOP2A, BIRC5, and CCNA2—effectively stratified ccRCC prognosis. FOXM1 was identified as the primary upstream regulator. A significant upregulation of FOXM1 was observed in renal cancer samples compared with normal renal tissues (p-value <0.001).
Conclusion
These findings shed light on implicated pathways and processes, prognostic biomarkers, and the crucial role of the immune system in ccRCC pathogenesis.
{"title":"Unraveling the molecular landscape of clear cell renal cell carcinoma through integrative transcriptomic analysis and validation using clinical samples","authors":"Amir Taherkhani , Simindokht Sarvmeili , Hamed Manoochehri , Mahmoud Gholyaf","doi":"10.1016/j.bbrep.2025.102384","DOIUrl":"10.1016/j.bbrep.2025.102384","url":null,"abstract":"<div><h3>Background and aims</h3><div>Clear cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal malignancies, distinguished by its aggressive nature and poor prognosis in advanced stages. Identifying prognostic biomarkers and unraveling underlying molecular events contributing to ccRCC pathogenesis is crucial for developing precise prognostic models and tailored therapeutic interventions. The objective of this research was to identify differentially expressed genes (DEGs), construct protein-protein interaction networks, pinpoint hub genes and enriched pathways, assess the prognostic relevance of these hub genes, and predict upstream regulators, thereby providing insights into the onset and progression of ccRCC.</div></div><div><h3>Methods</h3><div>The GSE66270 dataset was reanalyzed to uncover DEGs between 14 ccRCC tumors and 14 normal tissues. Hub genes, clusters, and enriched functional categories were identified from the protein-protein interaction network. Survival analysis was performed to assess the prognostic relevance of the identified hub genes. An upstream transcription factor network was generated using the iRegulon plugin. Expression of hub genes in six cancer and six normal renal tissues was confirmed via real-time PCR.</div></div><div><h3>Results</h3><div>A prognostic signature comprising five genes—<em>FCGR1A</em>, <em>FOXM1</em>, <em>TOP2A</em>, <em>BIRC5</em>, and <em>CCNA2</em>—effectively stratified ccRCC prognosis. <em>FOXM1</em> was identified as the primary upstream regulator. A significant upregulation of <em>FOXM1</em> was observed in renal cancer samples compared with normal renal tissues (p-value <0.001).</div></div><div><h3>Conclusion</h3><div>These findings shed light on implicated pathways and processes, prognostic biomarkers, and the crucial role of the immune system in ccRCC pathogenesis.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102384"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622886","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 : 2026-03-01Epub Date: 2025-12-09DOI: 10.1016/j.bbrep.2025.102396
Jiakai Li , Ping Fei , Xiang Zhang , Yuqing Rao , Jing Li , Peiquan Zhao
Familial Exudative Vitreoretinopathy (FEVR) and Diabetic Retinopathy (DR) are two prominent retinal diseases. The role of macrophages/microglia in the vascular dynamics of FEVR and DR is unknown and thus addressed in this study. FZD4 knockout mouse, a model for FEVR in human characterized by genetic mutations affecting angiogenesis, exhibited reduced b-wave amplitudes and decreased vascular density, replicating human FEVR symptoms. Conversely, STZ-treated C57/BL6 mouse developed heightened fasting glucose levels, reduced insulin content, and increased retinal vasculature, aligning with DR features. Further analysis revealed significant differences in macrophage/microglia populations between the two diseases. In DR, a marked increase in both number and M2-like polarization of retinal macrophages/microglia was observed, contrasting with FEVR. Moreover, DR induced substantial proinflammatory differentiation of macrophages/microglia, evidenced by elevated cytokines such as IL-1β, TNF-α, and IFNɣ. Both conditions significantly upregulated Ang-1 and IL-10, with a more pronounced IL-10 increase in DR, suggesting a more active role in tissue and vessel remodeling. Notably, DR induced higher levels of anti-inflammatory factors like bFGF, TIMP-1, TGFβ1, and VEGF-A compared to FEVR, suggesting a balance of inflammation initiation, progression and resolution. These findings highlight the distinct roles of macrophages/microglia in FEVR and DR, providing insights into their contributions to disease pathogenesis and potential therapeutic strategies through reprogramming macrophages/microglia.
{"title":"Comparative analysis of activation of macrophages/microglia in diabetic retinopathy and Familial Exudative Vitreoretinopathy","authors":"Jiakai Li , Ping Fei , Xiang Zhang , Yuqing Rao , Jing Li , Peiquan Zhao","doi":"10.1016/j.bbrep.2025.102396","DOIUrl":"10.1016/j.bbrep.2025.102396","url":null,"abstract":"<div><div>Familial Exudative Vitreoretinopathy (FEVR) and Diabetic Retinopathy (DR) are two prominent retinal diseases. The role of macrophages/microglia in the vascular dynamics of FEVR and DR is unknown and thus addressed in this study. FZD4 knockout mouse, a model for FEVR in human characterized by genetic mutations affecting angiogenesis, exhibited reduced b-wave amplitudes and decreased vascular density, replicating human FEVR symptoms. Conversely, STZ-treated C57/BL6 mouse developed heightened fasting glucose levels, reduced insulin content, and increased retinal vasculature, aligning with DR features. Further analysis revealed significant differences in macrophage/microglia populations between the two diseases. In DR, a marked increase in both number and M2-like polarization of retinal macrophages/microglia was observed, contrasting with FEVR. Moreover, DR induced substantial proinflammatory differentiation of macrophages/microglia, evidenced by elevated cytokines such as IL-1β, TNF-α, and IFNɣ. Both conditions significantly upregulated Ang-1 and IL-10, with a more pronounced IL-10 increase in DR, suggesting a more active role in tissue and vessel remodeling. Notably, DR induced higher levels of anti-inflammatory factors like bFGF, TIMP-1, TGFβ1, and VEGF-A compared to FEVR, suggesting a balance of inflammation initiation, progression and resolution. These findings highlight the distinct roles of macrophages/microglia in FEVR and DR, providing insights into their contributions to disease pathogenesis and potential therapeutic strategies through reprogramming macrophages/microglia.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"45 ","pages":"Article 102396"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747997","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}