A TGF-β signaling-related lncRNA signature for prediction of glioma prognosis, immune microenvironment, and immunotherapy response

Exosomes in infectious diseases: insights into leishmaniasis pathogenesis, immune modulation, and therapeutic potential

Leishmaniasis continues to be a critical international health issue due to the scarcity of efficient treatment and the development of drug tolerance. New developments in the research of extracellular vesicles (EVs), especially exosomes, have revealed novel disease management approaches. Exosomes are small vesicles that transport lipids, nucleic acids, and proteins in cell signalling. Its biogenesis depends on several cellular processes, and their functions in immune response, encompassing innate and adaptive immunity, underline their function in the pathogen-host interface. Exosomes play a significant role in the pathogenesis of some parasitic infections, especially Leishmaniasis, by helping parasites escape host immunity and promote disease progression. This article explains that in the framework of parasitic diseases, exosomes can act as master regulators that define the pathogenesis of the disease, as illustrated by the engagement of exosomes in the Leishmaniasis parasite and immune escape processes. Based on many published articles on Leishmaniasis, this review aims to summarize the biogenesis of exosomes, the properties of the cargo in exosomes, and the modulation of immune responses. We delve deeper into the prospect of using exosomes for the therapy of Leishmaniasis based on the possibility of using these extracellular vesicles for drug delivery and as diagnostic and prognostic biomarkers. Lastly, we focus on the recent research perspectives and future developments, underlining the necessity to continue the investigation of exosome-mediated approaches in Leishmaniasis treatment. Thus, this review intends to draw attention to exosomes as a bright new perspective in the battle against this disabling affliction.

A Review of Artificial Intelligence-Based Systems for Non-Invasive Glioblastoma Diagnosis

BACKGROUND

Glioblastoma multiforme (GBM) is an aggressive brain tumor with a poor prognosis. Traditional diagnosis relies on invasive biopsies, which pose surgical risks. Advances in artificial intelligence (AI) and machine learning (ML) have improved non-invasive GBM diagnosis using magnetic resonance imaging (MRI), offering potential advantages in accuracy and efficiency.

OBJECTIVE

This review aims to identify the methodologies and technologies employed in AI-based GBM diagnostics. It further evaluates the performance of AI models using standard metrics, highlighting both their strengths and limitations.

METHODOLOGY

In accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, a systematic review was conducted across major academic databases. A total of 104 articles were identified in the initial search, and 15 studies were selected for final analysis after applying inclusion and exclusion criteria.

OUTCOMES

The included studies indicated that the signal T1-weighted imaging (T1WI) is the most frequently used MRI modality in AI-based GBM diagnostics. Multimodal approaches integrating T1WI with diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) have demonstrated improved classification performance. Additionally, AI models have shown potential in surpassing conventional diagnostic methods, enabling automated tumor classification and enhancing prognostic predictions.

Current landscape of hypoxia in thyroid cancer pathogenesis and treatment

Thyroid cancer, the most prevalent endocrine malignancy, exhibits diverse clinical behaviors ranging from indolent to highly aggressive forms. A critical factor influencing the progression and treatment resistance of thyroid cancer is hypoxia-a condition characterized by inadequate oxygen supply to the tumor microenvironment. Hypoxia induces the stabilization of hypoxia-inducible factors (HIFs), particularly HIF-1α and HIF-2α, drive various oncogenic processes such as epithelial-mesenchymal transition (EMT), angiogenesis, metabolic reprogramming, and immune evasion. These processes contribute to the aggressive phenotypes observed in poorly differentiated and anaplastic thyroid cancers. This review explores the molecular mechanisms by which hypoxia and HIFs influence thyroid cancer pathogenesis, focusing on key signaling pathways, including NF-κB, Wnt/β-catenin, Hedgehog, and others. Furthermore, we discuss potential therapeutic strategies targeting the hypoxic microenvironment, such as HIF inhibitors and natural compounds, which have shown promise in preclinical studies. Understanding the role of hypoxia in thyroid cancer not only offers insights into the disease's progression but also highlights new avenues for therapeutic intervention aimed at improving patient outcomes.

Mechanistic insights into CDCA gene family-mediated glioblastoma progression: implications for diagnosis, prognosis, and therapeutic targeting

BACKGROUND

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by poor prognosis and limited therapeutic options. Understanding the molecular mechanisms driving GBM progression is essential for developing more effective diagnostic and therapeutic approaches. Specifically, investigating Cell Division Cycle-Associated (CDCA) genes offers new perspectives on cell cycle regulation and the proliferation of GBM cells, which are key factors in tumor growth and resistance to treatment. These genes have not been extensively studied in GBM, making them a promising area for targeted research and potential therapeutic interventions. This project was launched to elucidate the pathogenic, diagnostic, and therapeutic roles of CDCA genes in GBM.

METHODOLOGY

Total RNA was extracted from GBM cell lines followed by RT-qPCR to analyze the expression of CDCA genes. The expression validation, prognostic significance, and mutational analysis of CDCA genes were performed using various databases. Functional assays, including gene knockdown, colony formation, proliferation, and wound healing, were conducted in U87MG cells to assess the role of CDCA7 and CDCA8 in GBM.

RESULTS

The expression analysis of CDCA genes in 12 GBM cell lines and 6 normal brain cell lines revealed significant overexpression of these genes in GBM. ROC curve analysis demonstrated excellent diagnostic potential, with AUC values of 1 for most genes. This indicates that CDCA gene expression effectively distinguishes GBM cells from normal brain cells. Validation using additional TCGA data confirmed the upregulation of these genes in GBM tumors, with significant association to key cancer-related pathways. Survival analysis showed that higher expression of CDCA genes correlated with poor prognosis in GBM patients. Mutation, CNV, and methylation analyses revealed alterations in these genes, further supporting their role in GBM. Additionally, CDCA gene expression was linked to immune modulation and cell cycle-related functions, suggesting their involvement in immune evasion and tumor proliferation. Knockdown experiments of CDCA7 and CDCA8 in U87MG cells demonstrated a reduction in cell proliferation, colony formation, and migration, highlighting their potential as therapeutic targets.

CONCLUSION

Overall, our findings suggest that CDCA genes could serve as both diagnostic biomarkers and therapeutic targets for GBM.

Exosomes derived from natural killer cells: transforming immunotherapy for aggressive breast cancer

Natural killer cell-derived exosomes (NK-Exos) hold great promise as immune modulators and immunotherapeutics against cancer due to their intrinsically latent anti-tumor effects. They use these nanosized vesicles to deliver cytotoxic molecules, such as perforin, granzymes, and miRNAs, directly to cancer cells to kill them, avoiding immune suppression. NK-Exos has particular efficacy for treating aggressive breast cancer by modulating the TME to activate the immune response and suppress immunosuppressive factors. Bioengineering advances have extended the therapeutic potential of NK-Exos, which permits precise tumor cell targeting and efficient delivery of therapeutic payloads, including small RNAs and chemotherapeutic agents. In engineered NK-Exos, sensitization of cancer cells to apoptosis, reduction of tumor growth, and resistance to drugs have been demonstrated to be highly effective. When combined, NK-Exos synergizes with radiotherapy, chemotherapy, or checkpoint inhibitors, enhancing therapeutic efficacy, and minimizing systemic toxicity. This review emphasizes the critical role of NK-Exos in breast cancer treatment, their integration into combination therapies, and the need for further research to overcome existing limitations and fully realize their clinical potential.

Tumor microenvironment: recent advances in understanding and its role in modulating cancer therapies

Tumor microenvironment (TME) denotes the non-cancerous cells and components presented in the tumor, including molecules produced and released by them. Interactions between cancer cells, immune cells, stromal cells, and the extracellular matrix within the TME create a dynamic ecosystem that can either promote or hinder tumor growth and spread. The TME plays a pivotal role in either promoting or inhibiting tumor growth and dissemination, making it a critical factor to consider in the development of effective cancer therapies. Understanding the intricate interplay within the TME is crucial for devising effective cancer therapies. Combination therapies involving inhibitors of immune checkpoint blockade (ICB), and/or chemotherapy now offer new approaches for cancer therapy. However, it remains uncertain how to best utilize these strategies in the context of the complex tumor microenvironment. Oncogene-driven changes in tumor cell metabolism can impact the TME to limit immune responses and present barriers to cancer therapy. Cellular and acellular components in tumor microenvironment can reprogram tumor initiation, growth, invasion, metastasis, and response to therapies. Components in the TME can reprogram tumor behavior and influence responses to treatments, facilitating immune evasion, nutrient deprivation, and therapeutic resistance. Moreover, the TME can influence angiogenesis, promoting the formation of blood vessels that sustain tumor growth. Notably, the TME facilitates immune evasion, establishes a nutrient-deprived milieu, and induces therapeutic resistance, hindering treatment efficacy. A paradigm shift from a cancer-centric model to a TME-centric one has revolutionized cancer research and treatment. However, effectively targeting specific cells or pathways within the TME remains a challenge, as the complexity of the TME poses hurdles in designing precise and effective therapies. This review highlights challenges in targeting the tumor microenvironment to achieve therapeutic efficacy; explore new approaches and technologies to better decipher the tumor microenvironment; and discuss strategies to intervene in the tumor microenvironment and maximize therapeutic benefits.

The adipokines in oral cancer pathogenesis and its potential as a new therapeutic approach

The involvement of adipose tissue in the development of cancer is currently the subject of an increasing number of research due to the growing relevance of lipid metabolism in tumor growth. Obesity influences the tumor immune microenvironment (TME) in oral cancer. Visceral white adipose tissue (WAT) consists of adipocytes, connective tissue, immune cells, and stromovascular cells. The metabolic processes of immune cells within the adipose tissue of individuals with obesity predominantly depend on oxidative phosphorylation (intrinsically) and are characterized by elevated levels of M2 macrophages, Treg cells, Th2 cells, and eosinophils from an extrinsic perspective. The adipokines secreted by adipocytes facilitate communication with adjacent tissues to regulate glucose and lipid metabolism. Obesity influences cancer progression through the dysregulation of adipocytokines, characterized by an augmented synthesis of the oncogenic adipokine leptin, coupled with a reduced secretion of adiponectin. Under standard physiological settings, these adipokines fulfill essential roles in sustaining homeostasis. This review analyzed the influence of adipocytes on oral cancer by detailing the mediators released by adipocytes. Comprehending the molecular foundations of the protumor roles of adipokines in oral cancers might provide novel treatment targets.

The complex role of regulatory cells in breast cancer: implication for immunopathogenesis and immunotherapy

Breast cancers (BCs) are frequently linked to an immunosuppressive microenvironment that facilitates tumor evasion of anti-cancer immunity. The cells that suppress the immune system such as regulatory B cells (Bregs), regulatory T cells (Tregs), tumor-associated macrophages (TAMs), tumor-associated neutrophils (TANs), myeloid-derived suppressor cells (MDSCs), play a crucial role in immune resistance. Also, tumor progression and immune evasion of cancers are facilitated by cytokines and factors released by tumor cells or immunosuppressive cells. Targeting these regulatory cells therapeutically, whether through elimination, inactivation, or reprogramming, has resulted in hopeful anti-tumor reactions. Yet, the substantial diversity and adaptability of these cells, both in terms of appearance and function, as well as their variation over time and depending on where they are in the body, have posed significant challenges for using them as reliable biomarkers and creating focused therapies that could target their creation, growth, and various tumor-promoting roles. The immunotherapy approaches in BC and their effectiveness in treating certain subtypes are still in their initial phases. In this review, we thoroughly outlined the characteristics, roles, and possible treatment options for these immune-suppressing cells in the tumor environment.

Neoadjuvant and Adjuvant Immunotherapy in the Treatment of Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma (OSCC) is experiencing a progressive increase in global incidence. Regrettably, this entity is typically discovered at an advanced stage in the majority of patients, which indicates increased therapeutic challenges and a poorer prognosis. Programmed cell death protein 1 (PD-1) appears to have a significant role in immunotherapy and monoclonal antibodies targeting this molecule have been utilized as a therapeutic intervention. A decade of research indicates that neoadjuvant immunotherapy has garnered greater interest than adjuvant immunotherapy in OSCC. This may be due to neoadjuvant immunotherapy serving as a preventive and adjunctive treatment. Enhanced outcomes may be achieved by optimizing the cancer microenvironment before surgery. Of note, neoadjuvant immunotherapy has been introduced preoperatively for untreated OSCC.

From protein to immunology: comprehensive insights into Marburg virus vaccines, mechanism, and application

The Marburg virus (MARV), a member of the Filoviridae family, is a highly lethal pathogen that causes Marburg virus disease (MVD), a severe hemorrhagic fever with high fatality rates.Despite recurrent outbreaks, no licensed vaccine is currently available. This review explores MARV's genomic architecture, structural proteins, and recent advancements in vaccine development. It highlights the crucial role of MARV's seven monocistronic genes in viral replication and pathogenesis, with a focus on structural proteins such as nucleoprotein (NP), glycoprotein (GP), and viral proteins VP35, VP40, and VP24. These proteins are essential for viral entry, immune evasion, and replication. The review further examines various vaccine platforms, including multi-epitope vaccines, DNA-based vaccines, viral vector vaccines, virus-like particles (VLPs), and mRNA vaccines. Cutting-edge immunoinformatics approaches are discussed for identifying conserved epitopes critical for broad-spectrum protection. The immunological responses induced by these vaccine candidates, particularly their efficacy in preclinical trials, are analyzed, showcasing promising results in generating both humoral and cellular immunity. Moreover, the review addresses challenges and future directions in MARV vaccine development, emphasizing the need for enhanced immunogenicity, safety, and global accessibility. The integration of omics technologies (genomics, transcriptomics, proteomics) with immunoinformatics is presented as a transformative approach for next-generation vaccine design. Innovative platforms such as mRNA and VLP-based vaccines offer rapid and effective development opportunities. In this study, underscores the urgent need for a licensed MARV vaccine to prevent future outbreaks and strengthen global preparedness. By synthesizing the latest research and technological advancements, it provides a strategic roadmap for developing safe, effective, and broadly protective vaccines. The fight against MARV is a global priority, requiring coordinated efforts from researchers, policymakers, and public health organizations.

Comprehensive pan-cancer analysis of LAMA3: implications for prognosis and immunotherapy

OBJECTIVES

Laminin subunit alpha 3 (LAMA3) has been implicated in various cellular processes relevant to cancer progression, including cell proliferation, migration, and adhesion. In this study, we explored the expression, prognostic significance, and functional role of LAMA3 across multiple cancer types.

METHODOLOGY

The in silico analyses involve using various bioinformatics tools and databases, such as The Cancer Genome Atlas (TCGA), TIMER2.0, GEPIA2, UALCAN, Kaplan-Meier (KM) plotter, GENT2, Human Protein Atlas (HPA), OncoDB, Gene Set Cancer Analysis (GSCA), and TISIDB. The in vitro analyses include cell culture, gene knockdown, and assays for cell proliferation, colony formation, and wound healing.

RESULTS

Pan-cancer analysis revealed significant variations in LAMA3 expression, with upregulation observed in cancers such as pancreatic adenocarcinoma (PAAD) and stomach adenocarcinoma (STAD), and downregulation in breast cancer (BRCA) and colon adenocarcinoma (COAD). Prognostic analyses indicated high LAMA3 expression correlated with poor overall survival (OS) in PAAD and STAD, whereas low expression was associated with adverse outcomes in BRCA. Validation analysis confirmed differential expression and localized LAMA3 primarily to the endoplasmic reticulum. Analysis of clinical features in BRCA, PAAD, and STAD showed consistent expression trends across different stages, races, and age groups. Additionally, mutational and copy number variations (CNVs) analyses revealed prevalent heterozygous amplifications and deletions in LAMA3 across BRCA, PAAD, and STAD. Promoter methylation was inversely correlated with LAMA3 expression in BRCA, PAAD, and STAD, although survival outcomes were unaffected. Protein-protein interaction (PPI) and gene enrichment analyses indicated LAMA3's involvement in ECM-receptor interactions and PI3K-Akt signaling, pathways critical in cancer. Finally, functional assays following LAMA3 knockdown in HT-29 cells demonstrated reduced cell proliferation, colony formation, and wound healing, implicating LAMA3 in tumor growth and metastasis.

CONCLUSION

Overall, these findings suggest that LAMA3 plays a multifaceted role in tumorigenesis and holds potential as a prognostic biomarker and therapeutic target in multiple cancers.

Exosome-mediated delivery of CRISPR-Cas9: A revolutionary approach to cancer gene editing

Several molecular strategies based on targeted gene delivery systems have been developed in recent years; however, the CRISPR-Cas9 technology introduced a new era of targeted gene editing, precisely modifying oncogenes, tumor suppressor genes, and other regulatory genes involved in carcinogenesis. However, efficiently and safely delivering CRISPR-Cas9 to cancer cells across the cell membrane and the nucleus is still challenging. Using viral vectors and nanoparticles presents issues of immunogenicity, off-target effects, and low targeting affinity. Naturally, extracellular vesicles called exosomes have garnered the most attention as delivery vehicles in oncology-related CRISPR-Cas9 calls due to their biocompatibility, loading capacity, and inherent targeting features. The following review discusses the current progress in using exosomes to deliver CRISPR-Cas9 components, the approaches to load the CRISPR components into exosomes, and the modification of exosomes to increase stability and tumor-targeted delivery. We discuss the latest strategies in targeting recently accomplished in the exosome field, including modifying the surface of exosomes to enhance their internalization by cancer cells, as well as the measures taken to overcome the impacts of TME on delivery efficiency. Focusing on in vitro and in vivo experimentation, this review shows that exosome-mediated CRISPR-Cas9 can potentially treat cancer types, including pancreatic, lymphoma, and leukemia, for given gene targets. This paper compares exosome-mediated delivery and conventional vectors regarding safety, immune response, and targeting ability. Last but not least, we present the major drawbacks and potential development of the seemingly promising field of exosome engineering in gene editing, with references to CRISPR technologies and applications that may help make the target exosomes therapeutic in oncology.

Efficient diagnosis of diabetes mellitus using an improved ensemble method

Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy. The Pima India Diabetes Data from the UCI ML Repository served as the dataset. Data preprocessing included cleaning the dataset by replacing missing values with column means and selecting highly correlated features using forward and backward selection methods. The dataset was split into two parts: training (70%), and testing (30%). Python was used for classification in Jupyter Notebook, and there were two design phases. The first phase utilized J48, Classification and Regression Tree (CART), and Decision Stump (DS) to create a random forest model. The second phase employed the same algorithms alongside sequential ensemble methods-XG Boost, AdaBoostM1, and Gradient Boosting-using an average voting algorithm for binary classification. Evaluation revealed that XG Boost, AdaBoostM1, and Gradient Boosting achieved classification accuracies of 100%, with performance metrics including F1 score, MCC, Precision, Recall, AUC-ROC, and AUC-PR all equal to 1.00, indicating reliable predictions of diabetes presence. Researchers and practitioners can leverage the predictive model developed in this work to make quick predictions of diabetes mellitus, which could save many lives.

Recent advances in nanotechnology for Parkinson's disease: diagnosis, treatment, and future perspectives

Parkinson's disease is a progressive neurodegenerative disease that destroys substantia nigra dopaminergic neurons, causing tremors, bradykinesia, rigidity, and postural instability. Current treatment approaches primarily focus on symptom management, employing pharmacological, non-pharmacological, and surgical methods. However, these treatments often result in fluctuating symptoms, side effects, and disease progression. Here, the authors have reviewed the emerging field of nanomedicine as a promising path for Parkinson's disease treatment, emphasizing its potential to overcome the limitations of traditional therapies. Nanomedicine utilizes nanoparticles for targeted drug delivery, leveraging their small size and high surface area to volume ratio to cross the blood-brain barrier and deliver therapeutic agents directly to affected brain regions. Various nanoparticles, including lipid-based, polymeric, metallic, and carbon-based, have shown potential in Parkinson's disease treatment. Additionally, nanocarrier systems like liposomes, nanogels, dendrimers, and solid lipid nanoparticles offer controlled and sustained release of therapeutic agents, enhancing their bioavailability and reducing side effects. This review provides insights into the pathophysiology of Parkinson's disease, highlighting the mechanisms of neurodegeneration, the role of alpha-synuclein, and the disruption of dopaminergic pathways. It further discusses the application of gene therapy in conjunction with nanomedicine for targeted therapeutic interventions.

Exploring extracellular RNA as drivers of chemotherapy resistance in cancer

Chemotherapy resistance (CR) represents one of the most important barriers to effective oncological therapy and often leads to ineffective intervention and unfavorable clinical prognosis. Emerging studies have emphasized the vital significance of extracellular RNA (exRNA) in influencing CR. This thorough assessment intends to explore the multifaceted contributions of exRNA, such as exosomal RNA, microRNAs, long non-coding RNAs, and circular RNAs, to CR in cancer. We discuss the mechanisms by which exRNA facilitates drug resistance, such as modulating gene expression, influencing the tumor microenvironment, and facilitating intercellular communication. Furthermore, we examine the potential of exRNA as prognostic factor for determining oncology treatment efficacy and their emerging role as therapeutic targets. Diagnostic and prognostic applications of exRNA biomarkers are considered, alongside current methodologies for their detection and quantification. Additionally, we review recent advances in exRNA-targeted therapies, highlighting ongoing clinical trials and therapeutic strategies aimed at overcoming chemoresistance. Despite the promise of exRNA research, several challenges remain, including technical limitations and the biological complexity of exRNA networks. This review underscores the importance of continued investigation into exRNA biology and its therapeutic potential, which in the future may provide new avenues for cancer treatment and tailored medical strategies. By elucidating the role of exRNA in CR, this article aims to provide a comprehensive resource for researchers and clinicians seeking to improve the effectiveness of carcinoma management approaches.

Comprehensive investigation of matrix metalloproteinases in skin cutaneous melanoma: diagnostic, prognostic, and therapeutic insights

The dysregulation of matrix metalloproteinases (MMPs) in skin cutaneous melanoma (SKCM) represents a critical aspect of tumorigenesis. In this study, we investigated the diagnostic, prognostic, and therapeutic aspects of the MMPs in SKCM. Thirteen SKCM cell lines and seven normal skin cell lines were cultured under standard conditions for experimental analyses. RNA and DNA were extracted, followed by RT-qPCR to assess MMP expression and promoter methylation analysis to determine methylation levels. Functional assays, including cell proliferation, colony formation, and wound healing, were conducted post-MMP7 knockdown using siRNA in A375 cells. Databases like GEPIA2, HPA, MEXPRESS, and miRNet were employed for expression, survival, methylation, and miRNA-mRNA network analyses. We investigated the expression and promoter methylation landscape of MMPs in SKCM cell lines, revealing significant (p-value < 0.05) up-regulation of MMP1, MMP7, MMP9, MMP10, MMP11, MMP12, MMP13, MMP14, and MMP25, alongside down-regulation of MMP2, MMP3, and MMP21. Furthermore, our analysis demonstrated a significant (p-value < 0.05) inverse correlation between MMP expression levels and promoter methylation status, suggesting a potential regulatory role of DNA methylation in MMP dysregulation. Notably, MMP7, MMP11, and MMP14 exhibited significant (p-value < 0.05) associations with the overall survival of SKCM patients, emphasizing their prognostic significance. Additionally, Receiver operating characteristic (ROC) curve analysis highlighted the significant (p-value < 0.05) diagnostic potential of MMP7, MMP11, and MMP14 in distinguishing SKCM from normal individuals. Subsequent validation across multiple cohorts confirmed significant (p-value < 0.05) elevated MMP expression levels in SKCM tissues, particularly in advanced disease stages, further emphasizing their role in tumor progression. Furthermore, we elucidated potential regulatory pathways involving miR-22-3p, which targets MMP7, MMP11, and MMP14 genes in SKCM. Our findings also revealed associations between MMP expression and immune modulation, drug sensitivity, and functional states of SKCM cells. Lastly, MMP7 knockdown in A375 cells significantly significant (p-value < 0.05) impacted several characteristics, including cell proliferation, colony formation, and wound healing. Our findings highlight the diagnostic, prognostic, and therapeutic potential of MMP7, MMP11, and MMP14 in SKCM. These MMPs could serve as biomarkers for early detection and targets for therapy. Future efforts should focus on preclinical and clinical validation to translate these insights into personalized diagnostic and therapeutic strategies.

Dengue virus infection: how platelet-leukocyte crosstalk shapes thrombotic events and inflammation

Dengue virus (DENV) poses a considerable threat to public health on a global scale, since about two-thirds of the world's population is currently at risk of contracting this arbovirus. Being transmitted by mosquitoes, this virus is associated with a range of illnesses and a small percentage of infected individuals might suffer from severe vascular leakage. This leakage leads to hypovolemic shock syndrome, generally known as dengue shock syndrome, organ failure, and bleeding complications. The severe form of this disease is believed to be, at least partially, associated with inflammatory and thrombotic states. These issues are significantly affected by the activation of platelets and leukocytes, as well as their interactions, which may influence its prognosis. The platelets present in a thrombus are able to attract leukocytes to the site of injury. The intricate process leads to the significant accumulation, activation, and migration of leukocytes, thereby promoting thrombotic events and triggering inflammatory responses. The occurrence of these events, combined with the direct viral infection of endothelial cells, leads to vascular endothelialitis, the disruption of cellular membranes, and the subsequent release of DAMPs. As a result, considerable damage occurs in the endothelium, which activates neutrophils and platelets; thisleads to their interaction and initiates the process of Netosis. Collectively, these processes exacerbate inflammatory and thrombotic conditions. In this respect, current research has focused on understanding whether effective anti-inflammatory protocols can prevent thrombotic events or, conversely, if efficient anticoagulant regimens may lead to a reduction in cytokine storms and tissue damage. This review article aims to illuminate the platelet leukocyte crosstalk, detailing the mechanisms through which platelets may play a role in the pathogenesis of DENV. The research outputs are particularly important in severe cases, in which case their interactions with leukocytes can exacerbate both inflammation and thrombosis in a mutually reinforcing manner.

Evaluation of efficacy of GCSF in reducing neutropenia among carcinoma patients undergoing anti-cancer chemotherapy. A prospective cohort study

The use of granulocyte colony-stimulating factor (GCSF) to control febrile neutropenia (FN) caused by anti-cancer chemotherapy is well documented but it still needs to evaluated with respect to the specific type of cancer and chemotherapeutic agents. The present study evaluates the efficacy of adjunctive GCSF for treating FN after taking anticancer therapy by measuring clinical, hematological and microbiological outcomes. It is a single center study conducted at Hayatabad Medical Complex (HMC), Peshawar, Pakistan. Adult patients of both genders, suffering from different types of sarcomas and taking anticancer chemotherapy were included in the study. The study was conducted between January 2023 and January 2024. Baseline data including demographic data, medication history and hematological evaluation of all the patients was recorded at the time of enrolment. Primary outcomes of the study were the extent of absolute neutrophil count (ANC) recovery, duration and severity of neutropenia (grade IV), period to fever resolution. After the therapy (with and without adjunctive GCSF) clinical outcomes, hematological evaluation and microbiological data was compared and evaluated. All the data was statistically analyzed by SPSS (IBMS, version 20). A total number of 120 patients were investigated out of which data of 109 patients was included. Out of 109 patients, 64 (58.72%) received adjunctive GCSF therapy, and 45 (41.28%) did not receive adjunctive GCSF. Comparison of the data showed that the patients receiving adjunctive GCSF had a significant improvement ANC recovery time, better recovery of fever and patients were free of infections. This study concluded that adjunctive GCSF therapy benefits the patients undergoing anticancer treatment for different types of carcinoma.

Lights and Shadows of Cytokines in Age-Related Eye Diseases: A Narrative Literature Review

The eye is considered to be an immune-privileged region. However, several parts of the eye have distinct mechanisms for delivering immune cells to the injury sites or even in response to aging. Although these immune responses are intended to be protective, the visual acuity can be compromised by the release of pro-inflammatory cytokines by immune cells, which induce chronic inflammation and fibrosis. Age-related eye diseases (AREDs) are the primary cause of vision impairment (VI) in the elderly, with a poor comprehension of their pathophysiology. Age-related eye diseases affect both the anterior and posterior segments, resulting in diminished quality of life and risk of irreversible blindness. Immune system dysregulation and the upregulation of pro-inflammatory cytokines have been linked to AREDs, underscoring the need to comprehend inflammation's impact on ocular disorders to enhance patient symptom management. In this framework, the PubMed database was searched using the medical subject headings (MeSH) terms "Age-related eye diseases," "dry eye syndrome," "glaucoma," "cataract," "diabetic retinopathy," "inflammation," "interleukin," and "cytokine" with the aim of overview the role of cytokines in AREDs and discuss their potential therapeutic approaches.

Reprogramming tumor-associated macrophages: The role of MEK-STAT3 inhibition in lung cancer

Tumor-associated macrophages (TAMs) crucially contribute to lung cancer's advancement and escape from the immune system. TAMs, particularly the M2 phenotype, promote an immunosuppressive microenvironment, facilitating tumor growth and metastasis. The MEK-STAT3 signalling pathway is a critical mediator in this process, driving TAM reprogramming and contributing to lung cancer's resistance to treatment. Inhibiting the MEK and STAT3 pathways disrupts key cancer-promoting mechanisms, including immune evasion, angiogenesis, and metastasis. Preclinical studies have demonstrated the effectiveness of MEK inhibitors, such as trametinib and selumetinib, in synergistic therapies for NSCLC, particularly in modulating the tumor microenvironment. We analyse the present understanding of approaches that can transform TAMs via the inhibition of MEK-STAT3 with either solo or combined treatments in lung cancer therapy.

CHST4 associates with high-abundance immune infiltration in hormone receptor-positive breast cancer

Hormone receptor-positive breast cancer (HR+ BRCA) with high-risk factors such as lymph node metastasis has a relatively poor prognosis. However, the biological basis of tumor cell migration is still poorly understood, especially as some of the metastatic events occur at an early stage. Here, we identified that CHST4 (carbohydrate sulfotransferase 4), which has an important role in lymphocyte homing, was abnormally downregulated in HR+ BRCA and associated with lymph node metastasis. By enrichment analysis and immune infiltration evaluation, we predicted the potential ability of CHST4 to enhance immune cell infiltration. Then, immunohistochemical staining further demonstrated the contribution of CHST4 to the infiltration abundance of CD8+ T cells and CD4+ T cells in HR+ BRCA. Immunohistochemical staining of MECA-79 further identified the correlation between CHST4 and sulfated peripheral node addressin. Finally, we demonstrated that CHST4 was connected to increased tumor-immune cell communication by analyzing single-cell sequencing data. In summary, our study provided novel insights into the regulation of HR+ BRCA immune infiltration by CHST4.

The influence of microbiota on the efficacy and toxicity of immunotherapy in cancer treatment

Immunotherapy, which uses the body's immune system to fight cancer cells, has gained attention recently as a breakthrough in cancer treatment. Although significant progress has been made, obstacles still exist since cancers are skilled at avoiding immune monitoring. The gut microbiota is being looked at more and more in modern research as a critical component in improving the results of immunotherapy. Through modulating both innate and adaptive immune responses, the gut microbiome has a significant impact on cancer immunotherapy. The effectiveness of treatment and the way the immune system responds are significantly influenced by some microorganisms and the metabolites they produce, especially short-chain fatty acids. On the other hand, dysbiosis and persistent inflammation in the gut environment might unintentionally accelerate the growth of tumors, which makes the complex relationship between the makeup of the microbiota and cancer treatment more challenging. Gut microbiota plays a crucial role in immunotherapy effectiveness. Improved microbial diversity leads to better treatment responses, with some taxa like Bacteroides and Ruminococcaceae being linked to better responses to immune checkpoint inhibitors. Dysbiotic conditions can worsen immune-related side effects and reduce treatment effectiveness. Strategies manipulating gut microbiota, such as fecal microbiota transplantation, antibiotic therapies, and dietary interventions, could optimize immunotherapy response and prognosis. However, standardizing these interventions for different cancer types and patient populations is challenging due to individual microbiome differences. Future research should combine microbiome research with AI and rigorous clinical trials for individualized cancer treatments.

Isolation and characterization of bacteriophages targeting methicillin-resistant Staphylococcus aureus (MRSA) from burn patients and sewage water: a genomic and proteomic study

The spectrum of infections caused by methicillin-resistant Staphylococcus aureus (MRSA) ranges from minor conditions to potentially life-threatening diseases. The rising antibiotic resistance in MRSA often leads to treatment failures, underscoring the urgent need for novel eradication strategies. This study focuses on isolating MRSA from burn patients, determining its antibiogram profile, and isolating and characterizing bacteriophages from sewage water that target MRSA, alongside conducting genomic analysis of the phages. A total of 70 samples were collected from burn patients, with MRSA identification and characterization performed using a combination of biochemical and molecular techniques, as well as antibiotic sensitivity testing. Based on host range analysis, a specific phage (phage-3) was selected for detailed characterization, including proteomic analysis, genetic mapping, phylogenetic studies, and analysis of open reading frames (ORFs) and motifs. The prevalence of MRSA in the samples was found to be 28.6%. Antibiotic susceptibility tests indicated that 94% of the MRSA isolates were sensitive to tobramycin and gentamicin, while vancomycin exhibited the lowest sensitivity, with only 2% effectiveness. Using the soft agar overlay method, three bacteriophages (phage-1, phage-2, and phage-3) were successfully isolated from sewage water. Among these, phage-3 exhibited the broadest host range. Further analysis showed that phage-3 demonstrated optimal activity at pH levels between 6 and 8, and within a temperature range of 20-40 °C. Phage-3 also displayed a rapid adsorption phase within the first 0-5 min, and its one-step growth curve revealed a latent period lasting up to 30 min, followed by a significant increase in titer from 30 to 50 min. Proteomic analysis of phage-3 identified the presence of 33 kDa and 65 kDa proteins. Phylogenetic analysis showed that phage-3 shares 96.6% similarity with Mammallicoccus phage vB_MscM-PMS3. The ORF analysis identified 80 potential ORFs within the phage's entire genome.

Monosodium Glutamate Treatment Elevates the Immunoreactivity of GFAP and S100β in Caudate Nucleus of the Striatum in Rats

Background Monosodium glutamate (MSG) in its anionic form, glutamate, is one of the main excitatory amino acids. Excess of this neurotransmitter may lead to excitotoxicity affecting neurons and astrocytes responsible for glutamate metabolism in different brain areas of animals. The aim of the study was to investigate the immunoreactivity of glial fibrillary acidic protein (GFAP) and S100β protein in the caudate nucleus of rats under the condition of elevated glutamate levels.

METHODS

Fifteen rats were divided into a control group receiving saline and MSG2 and MSG4 groups receiving 2 g/kg b.w. MSG and 4 g/kg b.w. MSG, respectively, for 3 days. An immunohistochemical reaction was conducted on frontal sections containing the caudate nucleus with use of antibodies against GFAP and S100β.

RESULTS

Analyses indicated elevated density of astrocytes immunoreactive for the studied proteins in the caudate nucleus in animals receiving MSG. The studied glial cells also demonstrated increased immunostaining intensity for both GFAP and S100β immunoreactive cells especially in the MSG4 group. The number of GFAP-positive processes in astrocytes was similar in all studied groups.

CONCLUSIONS

The studies demonstrate a potential response of astrocytes to the effect of MSG administration in the caudate nucleus. It was shown that GFAP- and S100β-positive astrocytes in the caudate nucleus may act differently, suggesting distinct roles of these proteins against glutamate excitotoxicity.

Non-coding RNAs (ncRNAs) as therapeutic targets and biomarkers in oligodendroglioma

Oligodendrogliomas (ODGs) are neuroepithelial tumors that need personalized treatment plans because of their unique molecular and histological features. Non-coding RNAs form an epigenetic class of molecules that act as the first steps in gene regulation. They consist of microRNAs, long non-coding RNAs, and circular RNAs. These molecules significantly participate in ODG pathogenesis by regulating ODG initiation, progression, and treatment response. This review is designated to analyze the literature and describe the genomic profile of ODGs, the complex actions of ncRNAs in ODGs pathogenesis and treatment, and their roles as appropriate biomarkers and as one of the precision mechanisms action targets, such as antisense oligonucleotides, small interfering RNAs, gene therapy vectors, peptide nucleic acids, and small molecule inhibitors. Overall, ncRNAs considerably alter the pathological spectrum of ODGs by influencing fundamental processes in tumor biology. Applying ncRNAs in a clinical context exhibits promise for enhanced diagnosis and individualized therapeutic interventions. Nevertheless, the delivery efficacy and potential adverse "off-target" sequels retain the main obstacles undermining clinical potential. Continuous research and technological advancements in ncRNAs offer new insights and promising prospects for revolutionizing oligodendroglioma care, leading to better, personalized treatment outcomes.

Unraveling the role of gut microbiota and immune cells in thyroid cancer and tumor drug resistance

The gut microbiota (GM) and immune cells (IC) are increasingly recognized as key players in cancer development and progression. This study aimed to explore the potential mediating role of IC in the causal relationship between GM and thyroid cancer (TC) using Mendelian randomization (MR) analysis. Data from genome-wide association studies (GWAS) encompassing 473 GM species, 731 IC types, and TC were utilized. MR analysis identified nine GM species with significant causal relationships to TC, mediated by 10 IC phenotypes such as "Switched Memory AC," "IgD-CD38dim AC," and "EM DN (CD4-CD8-) AC." These findings suggest a complex interplay where specific IC mediate the effects of GM on TC risk. Sensitivity analyses confirmed the robustness of these results, with no evidence of horizontal pleiotropy. This study highlights potential mechanisms linking GM and IC to TC, offering insights that could inform GM-based immunotherapeutic strategies and IC-targeted interventions. However, further experimental research is needed to validate these causal pathways and better understand the underlying biological mechanisms.

Identification of telomere-related lncRNAs and immunological analysis in ovarian cancer

Background

Ovarian cancer (OC) is a global malignancy characterized by metastatic invasiveness and recurrence. Long non-coding RNAs (lncRNAs) and Telomeres are closely connected with several cancers, but their potential as practical prognostic markers in OC is less well-defined.

Methods

Relevant mRNA and clinical data for OC were sourced from The Cancer Genome Atlas (TCGA) database. The telomere-related lncRNAs (TRLs) prognostic model was established by univariate/LASSO/multivariate regression analyses. The effectiveness of the TRLs model was evaluated and measured via the nomogram. Additionally, immune infiltration, tumor mutational load (TMB), and drug sensitivity were evaluated. We validated the expression levels of prognostic genes. Subsequently, PTPRD-AS1 knockdown was utilized to perform the CCK8 assay, colony formation assay, transwell assay, and wound healing assay of CAOV3 cells.

Results

A six-TRLs prognostic model (PTPRD-AS1, SPAG5-AS1, CHRM3-AS2, AC074286.1, FAM27E3, and AC018647.3) was established, which can effectively predict patient survival rates and was successfully validated using external datasets. According to the nomogram, the model could effectively predict prognosis. Furthermore, we detected the levels of regulatory T cells and M2 macrophages were comparatively higher in the high-risk TRLs group, but the levels of activated CD8 T cells and monocytes were the opposite. Finally, the low-risk group was more sensitive to anti-cancer drugs. The mRNA levels of PTPRD-AS1, SPAG5-AS1, FAM27E3, and AC018647.3 were significantly over-expressed in OC cell lines (SKOV3, A2780, CAOV3) in comparison to normal IOSE-80 cells. AC074286.1 were over-expressed in A2780 and CAOV3 cells and CHRM3-AS2 only in A2780 cells. PTPRD-AS1 knockdown decreased the proliferation, cloning, and migration of CAOV3 cells.

Conclusion

Our study identified potential biomarkers for the six-TRLs model related to the prognosis of OC.

Long Non-Coding RNA AGAP2-AS1: A Comprehensive Overview on Its Biological Functions and Clinical Significances in Human Cancers

Long non-coding RNAs (lncRNAs) are well known for their oncogenic or anti-oncogenic roles in cancer development. AGAP2-AS1, a new lncRNA, has been extensively demonstrated as an oncogenic lncRNA in various cancers. Abundant experimental results have proved the aberrantly high level of AGAP2-AS1 in a great number of malignancies, such as glioma, colorectal, lung, ovarian, prostate, breast, cholangiocarcinoma, bladder, colon and pancreatic cancers. Importantly, the biological functions of AGAP2-AS1 have been extensively demonstrated. It could promote the proliferation, migration and invasion of cancer cells. Simultaneously, the clinical significances of AGAP2-AS1 were also illustrated. AGAP2-AS1 was exceptionally overexpressed in various cancer tissues. Clinical studies disclosed that the abnormal overexpression of AGAP2-AS1 was tightly connected with overall survival (OS), lymph nodes metastasis (LNM), clinical stage, tumor infiltration, high histological grade (HG), serous subtype and PFI times. However, to date, the biological actions and clinical significances of AGAP2-AS1 have not been systematically reviewed in human cancers. In the present review, the authors overviewed the biological actions, potential mechanisms and clinical features of AGAP2-AS1 according to the previous studies. In summary, AGAP2-AS1, as a vital oncogenic gene, is a promising biomarker and potential target for carcinoma prognosis and therapy.

The pathogenesis mechanism and potential clinical value of lncRNA in gliomas

Glioma is the most common malignant tumor in the central nervous system, and its unique pathogenesis often leads to poor treatment outcomes and prognosis. In 2021, the World Health Organization (WHO) divided gliomas into five categories based on their histological characteristics and molecular changes. Non-coding RNA is a type of RNA that does not encode proteins but can exert biological functions at the RNA level, and long non-coding RNA (lncRNA) is a type of non-coding RNA with a length exceeding 200 nt. It is controlled by various transcription factors and plays an indispensable role in the regulatory processes in various cells. Numerous studies have confirmed that the dysregulation of lncRNA is critical in the pathogenesis, progression, and malignancy of gliomas. Therefore, this article reviews the proliferation, apoptosis, invasion, migration, angiogenesis, immune regulation, glycolysis, stemness, and drug resistance changes caused by the dysregulation of lncRNA in gliomas, and summarizes their potential clinical significance in gliomas.

LncRNA HOXA‑AS2 is a prognostic and clinicopathological predictor in patients with cancer: A meta‑analysis

Elevated expression of long non-coding RNA homeobox A cluster antisense RNA 2 (lncRNA HOXA-AS2) is known to have prognostic value in various solid tumors. The present meta-analysis aimed to comprehensively quantify its prognostic significance across a wider spectrum of malignancies and to provide an updated synthesis of evidence that could refine prognostic models. To achieve this aim, multiple databases were carefully searched for lncRNA HOXA-AS2-related articles published in the past 10 years. Hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to demonstrate the prognostic value of lncRNA HOXA-AS2 using Stata 15.0 software. The function of lncRNA HOXA-AS2 was inferred from its associations with key clinical outcomes such as lymph node metastasis, distant metastasis, tumor stage and tumor size, which may reflect its role in tumor biology. In the present systematic review and meta-analysis of 454 patients across 7 studies, it was found that high lncRNA HOXA-AS2 expression was significantly associated with a shorter overall survival (OS) time in patients with cancer (HR=2.14; 95% CI, 1.40-3.27; P<0.001). High lncRNA HOXA-AS2 expression was also associated with lymph node metastasis [odds ratio (OR)=2.06; 95% CI, 1.07-3.99; P=0.032], distant metastasis (OR=2.11; 95% CI, 1.15-3.88; P=0.016), advanced tumor stage (OR=2.71; 95% CI, 1.50-4.89; P=0.001) and larger tumor size (OR=2.02; 95% CI, 0.86-4.78; P=0.006). However, no significant association was observed with age (OR=1.00; 95% CI, 0.63-1.59; P=0.991) or sex (OR=1.55; 95% CI, 0.72-3.34; P=0.258). In conclusion, elevated expression of lncRNA HOXA-AS2 was significantly related to poor clinical outcomes in various cancer types, such as osteosarcoma, non-small cell lung cancer and papillary thyroid carcinoma, a finding that was further confirmed by the present study. Specifically, the potential of lncRNAHOXA-AS2 as a biomarker in assessing tumor stage, metastasis risk and OS in patients was demonstrated. However, the results of the present study also indicated that the expression of lncRNA HOXA-AS2 was not significantly associated with age or sex, suggesting its role in cancer progression might be independent of these factors. This insight may direct future research to place more focus on the relationship between lncRNA HOXA-AS2 and specific cancer types and clinical characteristics.