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        <title>Experimental Biology and Medicine | Biomarkers in Regulatory Science section | New and Recent Articles</title>
        <link>https://www.ebm-journal.org/journals/experimental-biology-and-medicine/sections/biomarkers-in-regulatory-science</link>
        <description>RSS Feed for Biomarkers in Regulatory Science section in the Experimental Biology and Medicine journal | New and Recent Articles</description>
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        <pubDate>2026-04-22T15:45:09.110+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10540</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10540</link>
        <title><![CDATA[The causal relationship between obstructive sleep apnea and otitis media: a bidirectional Mendelian randomization study]]></title>
        <pubdate>2025-11-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ruixin Guo</author><author>Yifan Zhang</author><author>Yijie Chen</author><author>Wenqi Sha</author><author>Wanyi Kou</author><author>Chensi Xu</author><author>Yuran Lei</author><author>Ningrui Zhang</author><author>Liu Yang</author><author>Yun Guo</author><author>Huihui Zhang</author><author>Zhenghui Wang</author>
        <description><![CDATA[Obstructive sleep apnea (OSA) is manifested as periodic collapse of the upper airway during sleep. Otitis media is a spectrum of infectious and inflammatory diseases involving the middle ear. In this study, we sought to determine the causal effect of OSA on otitis media using a bidirectional, two-sample Mendelian randomization (MR) analysis. We analyzed the data from two different, extensive genome-wide association studies (GWAS) and selected OSA-related single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs). Bidirectional MR analysis was conducted using the inverse-variance weighted (IVW) method. To ensure the robustness of the results, alternative sensitivity analysis procedures were performed, including MR-Egger, the MR pleiotropy residual sum and outlier (MR-PRESSO), and leave-one-out analysis. In the forward MR analysis, OSA was correlated with an increased risk of acute suppurative otitis media (odds ratio, 1.164; 95% confidence interval, 1.056–1.283; P = 0.002) and suppurative and unspecified otitis media (odds ratio, 1.150; 95% confidence interval, 1.059–1.249; P < 0.001). All reverse MR analyses showed that otitis media had no causal effect on OSA (P > 0.05). The MR analysis supports that OSA contributes to the development of otitis media. Thus, managing OSA may be beneficial in treating otitis media.]]></description>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10334</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10334</link>
        <title><![CDATA[Circulating microRNA as promising biomarkers in hypertrophic cardiomyopathy: can advanced cardiac magnetic resonance unlock new insights in research?]]></title>
        <pubdate>2024-12-18T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Olga S. Chumakova</author><author>Elena A. Mershina</author>
        <description><![CDATA[Hypertrophic cardiomyopathy (HCM) is a genetic cardiac disorder associated with an increased risk of arrhythmias, heart failure, and sudden cardiac death. Current imaging and clinical markers are not fully sufficient in accurate diagnosis and patient risk stratification. Although known cardiac biomarkers in blood are used, they lack specificity for HCM and primarily stratify for death due to heart failure in overt cases. Non-coding RNAs, particularly microRNAs, have emerged as promising biomarkers due to their role in regulating gene expression in both healthy and pathological hearts. Circulating microRNA signatures may dynamically reflect the progression of HCM, offering potential utility in diagnosis and disease monitoring as well as inform biologic pathways for innovative therapeutic strategies. However, studying microRNAs in cardiovascular diseases is still in its early stages and poses many challenges. This review focuses on emerging research perspectives using advanced cardiac magnetic resonance techniques. We presume, that the search for circulating miR signatures associated with specific adverse myocardial features observed on cardiac magnetic resonance imaging - such as fibrosis, disarray, and microvascular disease - represents a promising direction in HCM research.]]></description>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10106</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10106</link>
        <title><![CDATA[CDKL3 is a promising biomarker for diagnosis and prognosis prediction in patients with hepatocellular carcinoma]]></title>
        <pubdate>2024-06-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qingsi Wu</author><author>Mengran Lu</author><author>Huijuan Ouyang</author><author>Tingting Zhou</author><author>Jingyuan Lei</author><author>Panpan Wang</author><author>Wei Wang</author>
        <description><![CDATA[Cyclin-dependent kinase-like 3 (CDKL3) has been identified as an oncogene in certain types of tumors. Nonetheless, its function in hepatocellular carcinoma (HCC) is poorly understood. In this study, we conducted a comprehensive analysis of CDKL3 based on data from the HCC cohort of The Cancer Genome Atlas (TCGA). Our analysis included gene expression, diagnosis, prognosis, functional enrichment, tumor microenvironment and metabolic characteristics, tumor burden, mRNA expression-based stemness, alternative splicing, and prediction of therapy response. Additionally, we performed a cell counting kit-8 assay, TdT-mediated dUTP nick-end Labeling staining, migration assay, wound healing assay, colony formation assay, and nude mouse experiments to confirm the functional relevance of CDKL3 in HCC. Our findings showed that CDKL3 was significantly upregulated in HCC patients compared to controls. Various bioinformatic analyses suggested that CDKL3 could serve as a potential marker for HCC diagnosis and prognosis. Furthermore, CDKL3 was found to be involved in various mechanisms linked to the development of HCC, including copy number variation, tumor burden, genomic heterogeneity, cancer stemness, and alternative splicing of CDKL3. Notably, CDKL3 was also closely correlated with tumor immune cell infiltration and the expression of immune checkpoint markers. Additionally, CDKL3 was shown to independently function as a risk predictor for overall survival in HCC patients by multivariate Cox regression analysis. Furthermore, the knockdown of CDKL3 significantly inhibited cell proliferation in vitro and in vivo, indicating its role as an oncogene in HCC. Taken together, our findings suggest that CDKL3 shows promise as a biomarker for the detection and treatment outcome prediction of HCC patients.]]></description>
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