Circ_ATAD3B inhibits cell proliferation of breast cancer via mediating the miR-570-3p/MX2 axis

Mendelian randomization combined with single-cell sequencing data analysis of chemokines and chemokine receptors and key genes and molecular mechanisms associated with epilepsy

OBJECTIVE

To explore the functions and potential regulatory mechanisms of chemokine and chemokine receptor (CCR)-related genes in epilepsy.

METHODS

CCRs were identified as candidate genes and their causal relationship with epilepsy was rigorously evaluated via Mendelian randomization analysis. Subsequently, single-cell RNA sequencing (scRNA-seq) data were analyzed to identify and classify cell clusters into distinct types based on cellular annotation. Differential expression analysis was conducted to pinpoint key genes by overlapping the candidate gene set with differentially expressed genes (DEGs). Furthermore, potential therapeutic drugs for epilepsy were predicted, offering novel avenues for disease management and treatment.

RESULTS

In total, 6395 DEGs were identified across the six cell clusters. After their intersection, CCRL2, XCL2, CXCR5, CXCL1, and CX3CR1 were pinpointed as key genes. Microglia, T cells, B cells, and macrophages have been emerged as critical cells. Furthermore, CXCL1 was regulated by hsa-miR-570-3p and hsa-miR-532-5p. Notably, CXCR5, CXCL1, and CX3CR1 were associated with 27 drug compounds. This comprehensive study leveraged scRNA-seq and transcriptomic data to elucidate the roles of CCR-related genes in epilepsy. Notably, CCRL2, XCL2, CXCR5, CXCL1,and CX3CR1 were identified as key genes implicated in epilepsy, whereas microglia, T cells, B cells, and macrophages were recognized as critical contributors to the development of epilepsy.

CONCLUSIONS

Regulating the expression of CCRL2, XCL2, CXCR5, CXCL1, and CX3CR1, along with the activity of these immune cells may offer therapeutic potential for the alleviation of epilepsy.

Unraveling non-coding RNAs in breast cancer: mechanistic insights and therapeutic potential

Breast cancer remains a leading global health challenge requiring innovative, therapeutic strategies to improve patient outcomes. This review explores the pivotal roles of non-coding RNAs (ncRNAs), including long non-coding RNA, micro RNA, and circular RNA, in breast cancer biology. We highlight how these molecules regulate critical signaling pathways, influence tumor microenvironments, and contribute to treatment resistance. Our findings underscore the potential of ncRNAs as biomarkers for early diagnosis and as treatment targets for personalized treatment strategies. To pave the way for innovative cancer management approaches, we investigate the complex interactions of ncRNAs and their impact on tumor progression. This comprehensive review enhances our understanding of breast cancer biology while emphasizing the translational significance of ncRNA research in developing effective treatment strategies. Additional research and clinical studies are required to confirm the diagnostic and medicinal value of ncRNAs in breast cancer. Investigating the complex networks of ncRNA interactions and their links to other biological pathways can lead to the discovery of new treatment targets. Furthermore, leveraging advanced technologies, such as machine learning and multi-omics methods, will be critical in improving our understanding of ncRNAs biomarkers and translating these insights into impactful clinical applications.

Large-Scale Proteome Profiling Identifies Biomarkers Associated with Suspected Neurosyphilis Diagnosis

Neurosyphilis (NS) is a central nervous system (CNS) infection caused by Treponema pallidum (T. pallidum). NS can occur at any stage of syphilis and manifests as a broad spectrum of clinical symptoms. Often referred to as "the great imitator," NS can be easily overlooked or misdiagnosed due to the absence of standard diagnostic tests, potentially leading to severe and irreversible organ dysfunction. In this study, proteomic and machine learning model techniques are used to characterize 223 cerebrospinal fluid (CSF) samples to identify diagnostic markers of NS and provide insights into the underlying mechanisms of the associated inflammatory responses. Three biomarkers (SEMA7A, SERPINA3, and ITIH4) are validated as contributors to NS diagnosis through multicenter verification of an additional 115 CSF samples. We anticipate that the identified biomarkers will become effective tools for assisting in diagnosis of NS. Our insights into NS pathogenesis in brain tissue may inform therapeutic strategies and drug discoveries for NS patients.

Circular RNAs in Breast Cancer: An Update

Breast cancer (BC), characterized by high heterogeneity, is the most commonly reported malignancy among females across the globe. Every year, many BC patients die owing to delayed diagnosis and treatment. Increasing researches have indicated that aberrantly expressed circular RNAs (circRNAs) are implicated in the tumorigenesis and progression of various tumors, including BC. Hence, this article provides a summary of the biogenesis and functions of circRNAs, as well as an examination of how circRNAs regulate the progression of BC. Moreover, circRNAs have aroused incremental attention as potential diagnostic and prognostic biomarkers for BC. Exosomes enriched with circRNAs can be secreted into the tumor microenvironment to mediate intercellular communication, affecting the progression of BC. Detecting the expression levels of exosomal circRNAs may provide reference for BC diagnosis and prognosis prediction. Illuminating insights into the earlier diagnosis and better treatment regimens of BC will be potentially available following elucidation of deeper regulatory mechanisms of circRNAs in this malignancy.