Integrated multi-omics analysis reveals the underlying molecular mechanism for the neurotoxicity of triclosan in zebrafish.

Triclosan (TCS) is a primary broad-spectrum antibacterial agent commonly present in the environment. As a new type of environmental endocrine disruptor, it causes range of toxicities, including hepatotoxicity and reproductive toxicity. However, few research has examined the toxicity of long-term TCS-induced exposure in zebrafish at ambient concentrations, in contrast to the early life stage investigations.

Advancing the next generation of cancer treatment with circular RNAs in CAR-T cell therapy.

Chimeric Antigen Receptor T-cell (CAR-T) therapy has revolutionized the treatment of hematological malignancies. However, its effectiveness against solid tumors remains constrained by challenges such as T-cell exhaustion, limited persistence, and off-target effects. These challenges highlight critical gaps in current CAR-T cell therapeutic strategies, particularly for solid tumor applications.

Myriad factors and pathways influencing tumor radiotherapy resistance.

Radiotherapy is a cornerstone in the treatment of various tumors, yet radioresistance often leads to treatment failure and tumor recurrence. Several factors contribute to this resistance, including hypoxia, DNA repair mechanisms, and cancer stem cells. This review explores the diverse elements that drive tumor radiotherapy resistance.

Interactions between tumor-associated macrophages and regulated cell death: therapeutic implications in immuno-oncology.

Tumor-associated macrophages (TAMs) play a pivotal role in sculpting the tumor microenvironment and influencing cancer progression, particularly through their interactions with various forms of regulated cell death (RCD), including apoptosis, pyroptosis, ferroptosis, and necroptosis. This review examines the interplay between TAMs and these RCD pathways, exploring the mechanisms through which they interact to promote tumor growth and advancement. We examine the underlying mechanisms of these intricate interactions, emphasizing their importance in cancer progression and treatment.

Establishment of potential lncRNA-related hub genes involved competitive endogenous RNA in lung adenocarcinoma.

Long non-coding RNAs (lncRNAs) have a notable role in the diagnosis and prognosis of cancer. However, the associations between lncRNA-related hub genes (LRHGs) expression and the corresponding outcomes have not been fully understood in lung adenocarcinoma (LUAD). Here, a total of 71 patients diagnosed with LUAD and 60 healthy volunteers at The First Affiliated Hospital of Huzhou University from April, 2023 to December, 2023 were enrolled in the present study.

Gas immnuo-nanomedicines fight cancers.

Certain gas molecules, including hydrogen (H), nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (HS), oxygen (O) and sulfur dioxide (SO) exhibit significant biological functionalities that can modulate the immune response. Strategies pertaining to gas-based immune therapy have garnered considerable attention in recent years. Nevertheless, delivering various gas molecules precisely into tumors, which leads to enhanced anti-tumor immunotherapeutic effect, is still a main challenge.

Exploring the Key Pathogenesis and Potential Intervention Targets of Sulforaphane in Acute Kidney Injury in Sepsis Based on Bioinformatics.

Introduction: The objective was to use bioinformatics to analyze the potential key genes involved in the mechanism of sulforaphane's protective effects in  sepsis-associated acute kidney injury (SA-AKI) and to identify potential intervention targets.

Methods: Gene Expression Omnibus (GEO) gene chip datasets containing gene expression profiles from kidney tissues of SA-AKI patients and normal controls were selected. Upregulated differentially expressed genes (DEGs) were identified using GEO2R.

Machine learning-based short-term DFS-associated characteristic factor screening and model construction for patients with gallbladder cancer after radical surgery.

Gallbladder cancer (GBC) is a malignancy with a bleak prognosis, and radical surgery remains the primary treatment option. However, the high postoperative recurrence rate and the lack of individualized risk assessment tools limit the effectiveness of current treatment strategies. This study aims to identify risk factors affecting the short-term disease-free survival (DFS) of GBC patients using machine learning methods and to build a prediction model.

Predicting gene signature in breast cancer patients with multiple machine learning models.

Aims: The aim of this study was to predict gene signatures in breast cancer patients using multiple machine learning models.

Methods: In this study, we first collated and merged the datasets GSE54002 and GSE22820, obtaining a gene expression matrix comprising 16,820 genes (including 593 breast cancer (BC) samples and 26 normal control (NC) samples). Subsequently, we performed enrichment analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Disease Ontology (DO).

Integrated single-cell and bulk RNA sequencing analysis reveal immune-related biomarkers in postmenopausal osteoporosis.

Background: Postmenopausal osteoporosis (PMOP) represents as a significant health concern, particularly as the population ages. Currently, there is a paucity of comprehensive descriptions regarding the immunoregulatory mechanisms and early diagnostic biomarkers associated with PMOP. This study aims to examine immune-related differentially expressed genes (IR-DEGs) in the peripheral blood mononuclear cells of PMOP patients to identify immunological patterns and diagnostic biomarkers.

Delta Opioid Peptide [d-Ala2, d-Leu5]-Enkephalin Improves Physical and Cognitive Function and Increases Lifespan in Aged Female Mice.

In this study, we explored the potential application of [d-Ala2, d-Leu5]-enkephalin (DADLE) in anti-ageing field in response to the trend of increasing global population ageing. We aimed to reveal experimentally whether DADLE can positively affect the lifespan and health of aged mammals through its unique anti-inflammatory or metabolic mechanisms. Forty-two female C57/BL6J mice aged 18 months were intraperitoneally injected with DADLE or normal saline for 2 months.

Promising strategies for smart insulin delivery system: Glucose-sensitive microneedle.

The diabetes treatment landscape is rapidly evolving towards intelligent and precise therapeutic interventions. Among these advancements, glucose-sensitive microneedle patches (GSMPs), which can automatically adjust the transdermal release rate of insulin based on glucose concentrations, are emerging as a promising strategy. In this work, a new classification method has been proposed for GSMPs, categorizing them into integrated, all-in-one, and core-shell structures.

Machine learning and bioinformatics analysis of diagnostic biomarkers associated with the occurrence and development of lung adenocarcinoma.

Objective: Lung adenocarcinoma poses a major global health challenge and is a leading cause of cancer-related deaths worldwide. This study is a review of three molecular biomarkers screened by machine learning that are not only important in the occurrence and progression of lung adenocarcinoma but also have the potential to serve as biomarkers for clinical diagnosis, prognosis evaluation and treatment guidance.

Methods: Differentially expressed genes (DEGs) were identified using comprehensive GSE1987 and GSE18842 gene expression databases.