Potential Biomarkers Research Articles

Systematic assessment of serum i-tRF-AsnGTT in gastric cancer: a potential clinical biomarker.

Since gastric cancer shows no apparent signs in its early stages, most patients are diagnosed later with a poor prognosis. We therefore seek more sensitive and specific GC biomarkers. Small RNAs formed from tRNAs represent a novel class of non-coding RNAs that are highly abundant in bodily fluids and essential to biological metabolism. This study explores the potential of i-tRF-AsnGTT in gastric cancer diagnostics. To begin with, we sequenced i-tRF-AsnGTT using high-throughput methods. i-tRF-AsnGTT expression levels in GC were determined using real-time fluorescence PCR. Agarose gel electrophoresis, Sanger sequencing, and repeated freezing and thawing were performed to verify molecular properties. A correlation was found between clinical and pathological parameters and i-tRF-AsnGTT expression levels through the χ² test, and ROC was used to analyze its diagnostic value in GC. In serum, i-tRF-AsnGTT has a low and stable expression level. It can differentiate between patients with gastric cancer and gastritis and healthy donors with better diagnostic efficacy. In combination with clinicopathological parameters, i-tRF-AsnGTT correlates with tumor differentiation, infiltration depth of tumors, TNM stage, lymph node metastases, and neural/vascular invasion. Serum i-tRF-AsnGTT expression is low in GC patients. Serum from postoperative patients shows increased i-tRF-AsnGTT expression levels. Potentially, this could be used as a biomarker to help diagnose gastric cancer and monitor its prognosis.

Role of WAVE3 as an of actin binding protein in the pathology of triple negative breast cancer.

Breast cancer, a prevalent global health concern, has sparked extensive research efforts, particularly focusing on triple negative breast cancer (TNBC), a subtype lacking estrogen receptor (ER), progesterone receptor, and epidermal growth factor receptor. TNBC's aggressive nature and resistance to hormone-based therapies heightens the risk of tumor progression and recurrence. Actin-binding proteins, specifically WAVE3 from the Wiskott-Aldrich syndrome protein (WASP) family, have emerged as major drivers in understanding TNBC biology. This review delves into the intricate molecular makeup of TNBC, shedding light on actin's fundamental role in cellular processes. Actin, a structural element in the cytoskeleton, regulates various cellular pathways essential for homeostasis. Its dynamic nature enables functions such as cell migration, motility, intracellular transport, cell division, and signal transduction. Actin-binding proteins, including WAVE3, play pivotal roles in these processes. WAVE3, a member of the WASP family, remains the focus of this review due to its potential involvement in TNBC progression. While actin-binding proteins are studied for their roles in healthy cellular cycles, their significance in TNBC remains underexplored. This review aims to discuss WAVE3's impact on TNBC, exploring its molecular makeup, functions, and significance in tumor progression. The intricate structure of WAVE3, featuring elements like the verprolin-cofilin-acidic domain and regulatory elements, plays a crucial role in regulating actin dynamics. Dysregulation of WAVE3 in TNBC has been linked to enhanced cell migration, invasion, extracellular matrix remodeling, epithelial-mesenchymal transition, tumor proliferation, and therapeutic resistance. Understanding the role of actin-binding proteins in cancer biology has potential clinical implications, making them potential prognostic biomarkers and promising therapeutic targets. The review emphasizes the need for further research into actin-binding proteins' clinical applications, diagnostic value, and therapeutic interventions. In conclusion, this comprehensive review explores the complex interplay between actin and actin-binding proteins, with special emphasis on WAVE3, in the context of TNBC. By unraveling the molecular intricacies, structural characteristics, and functional significance, the review paves the way for future research directions, clinical applications, and potential therapeutic strategies in the challenging landscape of TNBC.

Prediction of esports competition outcomes using EEG data from expert players

Considerable efforts have focused on predicting sports event outcomes to enhance spectating, coaching, and betting. However, accurately predicting match results across various competitive scenes is challenging. Many researchers have achieved reasonable prediction accuracy using machine learning (ML) models and static data, such as player statistics up to the last match, to perform binary win/loss classification. However, the inherent uncertainty of sports often leads to unexpected outcomes. For example, narrowing the skill-level gap between players may negatively impact prediction accuracy. Moreover, accurately predicting “upsets,” where lower-skilled players defeat higher-skilled opponents, remains challenging. Conventional win/loss prediction techniques rely on static attributes derived from past match statistics, which fail to capture the player's condition immediately before the match. To address this limitation, this study focused on dynamic information reflecting the pre-match player's condition, particularly electroencephalography (EEG) data, recognized as a potent mental conditioning biomarker. We collected pre-match EEG data from esports experts and trained ML models on these data, aiming to assess the ability of ML techniques trained on EEG data to predict match outcomes, particularly in cases subject to high unpredictability. The findings revealed that the light gradient boosting machine (LightGBM) algorithm trained on EEG data achieved the highest prediction accuracy (80%), with parietal beta activity being the most relevant feature. Furthermore, predictive performance remained consistent even in match scenarios involving similar-level players and upset situations. Hence, this approach extends the applicability of win/loss prediction to traditionally unpredictable sports scenes, enhancing the quality of spectator experiences.

Spatial Proteomic Profiling of Colorectal Cancer Revealed Its Tumor Microenvironment Heterogeneity.

Colorectal cancer is a predominant malignancy with a second mortality worldwide. Despite its prevalence, therapeutic options remain constrained and surgical operation is still the most useful therapy. In this regard, a comprehensive spatially resolved quantitative proteome atlas was constructed to explore the functional proteomic landscape of colorectal cancer. This strategy integrates histopathological analysis, laser capture microdissection, and proteomics. Spatial proteome profiling of 200 tissue section samples facilitated by the fully integrated sample preparation technology SISPROT enabled the identification of more than 4000 proteins on the Orbitrap Exploris 240 from 2 mm2 × 10 μm tissue sections. Compared with normal adjacent tissues, we identified a spectrum of cancer-associated proteins and dysregulated pathways across various regions of colorectal cancer including ascending colon, transverse colon, descending colon, sigmoid colon, and rectum. Additionally, we conducted proteomic analysis on tumoral epithelial cells and paracancerous epithelium from early to advanced stages in hallmark rectum cancer and sigmoid colon cancer. Bioinformatics analysis revealed functional proteins and cell-type signatures associated with different regions of colorectal tumors, suggesting potential clinical implications. Overall, this study provides a comprehensive spatially resolved functional proteome landscape of colorectal cancer, serving as a valuable resource for exploring potential biomarkers and therapeutic targets.

Serum miR-192-5p is a promising biomarker for lethal radiation injury

In the event of a nuclear or radiation accident, rapid identification is required for those who exposed to potentially lethal dose irradiation. However, existing techniques are not adequate for the classification of lethal injury. Several studies have explored the potential of miRNAs as biomarkers for ionizing radiation injury, however, there are few miRNAs with specific expression for lethal radiation injury. Therefore, the aim of this study was to screen and validate the possibility of serum miRNAs as biomarkers of lethal radiation injury. We found the specific expression of mmu-miR-374c-5p / mmu-miR-194-5p on first day and mmu-miR-192-5p / mmu-miR-223-3p on third day in the mouse serum only under 10Gy irradiation by miRNA sequencing and all significantly correlated with lymphocyte counts by Pearson’s correlation analysis. In addition, it was found that among the 4 candidate serum miRNAs, only highly-expressed mmu-miR-192-5p in mouse serum irradiated at lethal doses was returned to sham-like expression levels at 3 days post-irradiation with amifostine pretreatment and closely correlated with survival rate. We demonstrated for the first time that mmu-miR-192-5p screened from lethally irradiated mice sera can be used as a potential biomarker for lethal irradiation injury, which will be helpful to improve efficiency of medical treatment to minimize casualties after a large-scale nuclear accident.

Cerebrospinal fluid-based spatial statistics: towards quantitative analysis of cerebrospinal fluid pseudodiffusivity

BackgroundCerebrospinal fluid (CSF) circulation is essential in removing metabolic wastes from the brain and is an integral component of the glymphatic system. Abnormal CSF circulation is implicated in neurodegenerative diseases. Low b-value magnetic resonance imaging quantifies the variance of CSF motion, or pseudodiffusivity. However, few studies have investigated the relationship between the spatial patterns of CSF pseudodiffusivity and cognition.MethodsWe introduced a novel technique, CSF-based spatial statistics (CBSS), to automatically quantify CSF pseudodiffusivity in each sulcus, cistern and ventricle. Using cortical regions as landmarks, we segmented each CSF region. We retrospectively analyzed a cohort of 93 participants with varying degrees of cognitive impairment.ResultsWe identified two groups of CSF regions whose pseudodiffusivity profiles were correlated with each other: one group displaying higher pseudodiffusivity and near large arteries and the other group displaying lower pseudodiffusivity and away from the large arteries. The pseudodiffusivity in the third ventricle positively correlated with short-term memory (standardized slope of linear regression = 0.38, adjusted p < 0.001) and long-term memory (slope = 0.37, adjusted p = 0.005). Fine mapping along the ventricles revealed that the pseudodiffusivity in the region closest to the start of the third ventricle demonstrated the highest correlation with cognitive performance.ConclusionsCBSS enabled quantitative spatial analysis of CSF pseudodiffusivity and suggested the third ventricle pseudodiffusivity as a potential biomarker of cognitive impairment.

Recent Clinical Implications of FAPI: Imaging and Therapy.

The fibroblast activation protein (FAP) is a biomarker that is selectively overexpressed on cancer-associated fibroblasts (CAFs) in various types of tumoral tissues and some nonmalignant diseases, including fibrosis, arthritis, cardiovascular, and metabolic diseases. FAP plays a critical role in tumor microenvironment through facilitating proliferation, invasion, angiogenesis, immunosuppression, and drug resistance. Recent studies reveal that FAP might be regarded as a promising target for cancer diagnosis and treatment. FAP-targeted imaging modalities, especially PET, have shown high sensitivity and specificity in detecting FAP-expressing tumors. FAP-targeted imaging can potentially enhance tumor detection, staging, and monitoring of treatment response, and facilitate the development of personalized treatment strategies. This study provides a comprehensive view of FAP and its function in the pathophysiology of cancer and nonmalignant diseases. It also will discuss the characteristics of radiolabeled FAP inhibitors, particularly those based on small molecules, their recent clinical implications in imaging and therapy, and the associated clinical challenges with them. In addition, we present the results of imaging and biodistribution radiotracer 68Ga-FAPI-46 in patients with nonmalignant diseases, including interstitial lung disease, primary biliary cirrhosis, and myocardial infarction, who were referred to our department. Our results show that cardiac FAP-targeted imaging can provide a novel potential biomarker for managing left ventricle remodeling. Moreover, this study has been organized and presented in a manner that offers a comprehensive overview of the current status and prospects of FAPI inhibitors in the diagnosis and treatment of diseases.

Identification of GTF2I Polymorphisms as Potential Biomarkers for Chronic Kidney Disease in the Han Chinese Population: Multicentric Collaborative Cross-Sectional Cohort Study.

Chronic kidney disease (CKD) poses a global health challenge, but its molecular mechanisms are poorly understood. Genetic factors play a critical role, and phenome-wide association studies (PheWAS) and genome-wide association studies (GWAS) shed light on CKD's genetic architecture, shared variants, and biological pathways. Using data from the multicenter collaborative precision medicine cohort, we conducted a retrospective prospectively maintained cross-sectional study. Participants with comprehensive information and genotyping data were selected, and GWAS and PheWAS analyses were performed using the curated Taiwan Biobank version 2 array to identify CKD-associated genetic variants and explore their phenotypic associations. Among 58,091 volunteers, 8,420 participants were enrolled. Individuals with CKD exhibited higher prevalence of metabolic, cardiovascular, autoimmune, and nephritic disorders. Genetic analysis unveiled two closely linked SNPs, rs117026326 and rs73366469, both associated with GTF2I and CKD (r2=0.64). Further examination revealed significant associations between these SNPs and various kidney-related diseases. The CKD group showed a higher proportion of individuals with specific genotypes (CT/TT for rs117026326 and CT/CC for rs73366469), suggesting potential associations with CKD susceptibility(p<0.001). Furthermore, individuals with these genotypes developed CKD at an earlier age. Multiple logistic regression confirmed the independent association of these genetic variants with CKD. Subgroup analysis based on estimated glomerular filtration rate (eGFR) demonstrated an increased risk of CKD among carriers of the rs117026326 CT/TT genotypes (OR=1.15, 95% CI: 1.07-1.24, p<0.001; OR=1.32; 95% CI: 1.04-1.66, p=0.02, respectively) and carriers of the rs73366469 CT/CC genotypes (OR=1.13, 95% CI=1.05-1.21, p<0.001; OR=1.31, 95% CI: 1.08-1.58, p=0.0049, respectively). Additionally, men had a higher CKD risk than women at lower eGFR levels (OR=1.35, 95%: 1.13-1.61, p<0.001). Our study reveals important links between genetic variants GTF2I and susceptibility to CKD, advancing our understanding of CKD development in the Taiwanese population and suggesting potential for personalized prevention and management strategies. More research is needed to validate and explore these variants in diverse populations.

Retinoic acid receptor-related orphan receptor alpha and synthetic RORα agonist against invasion and metastasis in tongue squamous cell carcinoma

Retinoic acid receptor-related orphan receptor alpha (RORα), an essential tumor suppressor in a range of human malignancies, is classified as a member of the orphan nuclear receptor family. The most prevalent form of oral cancer, tongue squamous cell carcinoma (TSCC) is characterized by its severe malignancy and unfavorable prognosis. However, the extent to which its tumorigenesis mechanisms are associated with RORα expression levels is still not fully understood. The objective of this study was to examine the molecular mechanisms by which RORα is involved in TSCC. Through the use of immunohistochemistry (IHC), it was discovered that the expression level of RORα was significantly downregulated in TSCC tissues when compared to adjacent normal tissues in this study. To further investigate the role of RORα in TSCC, we activated the expression of RORα in human TSCC cell line (SCC9 cells) by transfecting RORα cDNA and using the selective RORα agonist SR1078. The results show that RORα can significantly inhibit the invasion, migration, proliferation, and adhesion of TSCC cells and induce cell apoptosis. In addition, xenograft models confirmed the conclusion that stable activation or treatment with SR1078 to increase RORα content significantly inhibited tumor growth and development. Taken together, this study provides solid evidence for the inhibitory role of RORα in the progression of TSCC. In addition, the preliminary application results of SR1078 in TSCC show that SR1078 is expected to be a potential therapeutic medication for TSCC. These findings provide innovative perspectives on the development of potential biomarkers and agents for TSCC therapy. The objective is to introduce novel strategy and alternatives for the prevention and treatment of TSCC.

Gut virome-wide association analysis identifies cross-population viral signatures for inflammatory bowel disease

BackgroundThe gut virome has been implicated in inflammatory bowel disease (IBD), yet a full understanding of the gut virome in IBD patients, especially across diverse geographic populations, is lacking.ResultsIn this study, we conducted a comprehensive gut virome-wide association study in a Chinese cohort of 71 IBD patients (15 with Crohn’s disease and 56 with ulcerative colitis) and 77 healthy controls via viral-like particle (VLP) and bulk virome sequencing of their feces. By utilizing an integrated gut virus catalog tailored to the IBD virome, we revealed fundamental alterations in the gut virome in IBD patients. These characterized 139 differentially abundant viral signatures, including elevated phages predicted to infect Escherichia, Klebsiella, Enterococcus_B, Streptococcus, and Veillonella species, as well as IBD-depleted phages targeting Prevotella, Ruminococcus_E, Bifidobacterium, and Blautia species. Remarkably, these viral signatures demonstrated high consistency across diverse populations such as those in Europe and the USA, emphasizing their significance and broad relevance in the disease context. Furthermore, fecal virome transplantation experiments verified that the colonization of these IBD-characterized viruses can modulate experimental colitis in mouse models.ConclusionsBuilding upon these insights into the IBD gut virome, we identified potential biomarkers for prognosis and therapy in IBD patients, laying the foundation for further exploration of viromes in related conditions.-rW5fkHC-UvmYPog5oPfKKVideo

Serum and Urinary Uromodulin in Dogs with Early Chronic Kidney Disease vs. Healthy Canine Population.

Serum and urinary uromodulin are evaluated as potential biomarkers of kidney disease. The aim of our research was to select a more appropriate form of uromodulin for the diagnosis of early stages of chronic kidney disease (CKD). We also focused on the influence of age and gender in one breed on uromodulin and on the possible interbreed differences. Serum uromodulin had the lowest values in dogs younger than 2 years but no effect of gender, breed, or CKD was observed. Urinary uromodulin indexed to urinary creatinine was significantly reduced in dogs in stage 2 of CKD (p = 0.003) in contrast to uromodulin converted to urine specific gravity. Urinary uromodulin with both corrections was significantly lower in Belgian shepherds compared to German shepherds (p < 0.0001, p = 0.0054) but was not influenced by gender or age. In stage 1 of CKD, urinary uromodulin correlated with kidney disease markers SDMA (p = 0.0424, p = 0.0214) and UPC (p = 0.0050, p = 0.0024). Urinary uromodulin appears to be more associated with CKD than serum uromodulin. Further studies with a larger number of patients are needed for the suitability of urinary uromodulin as a marker of early-stage disease.

Asprosin: the potential player in combined double diabetes and hypothyroidism.

Double diabetes is a term used to describe people with type 1 diabetes who are overweight, show signs of insulin resistance, or have a family history of type 2 diabetes. Asprosin is a novel glucogenic adipokine; Asprosin regulates appetite and glucose metabolism. The study aimed to investigate the level of asprosin in people with double diabetes with and without hypothyroidism and its association with markers of insulin resistance. This case-control study was conducted in Iraq between March 2022 and January 2023. One hundred sixty participants were enrolled; the selected participants were classified into three age and sex-matched groups. The first group consisted of eighty healthy controls served as the control group. Of eighty participants with newly discovered DD, half (40) have DD alone, and 40 have both DD and hypothyroidism. Serum asprosin, insulin, thyroid, lipid profile, glucose, and glycated hemoglobin were measured. The estimated glucose disposal rate, triglyceride-glucose index, and HOMA-IR were calculated. Participants with double diabetes had significantly (p ≤ 0.001) greater circulation asprosin levels than subjects in the control group. Comparatively, to double diabetes participants without hypothyroidism, asprosin levels were also higher in double diabetes subjects with hypothyroidism (p ≤ 0.001), and the insulin resistance markers increased in a stepwise way across the asprosin quartiles (p ≤ 0.001). Asprosin significantly correlated with insulin resistance markers, eGDR, plasma glucose, HbA1C, triglycerides, HDL-C, and LDL-C. Elevated asprosin levels might be a potential biomarker for the alteration in glucose metabolism, insulin resistance, and double diabetes. It may be the missing link between metabolic and endocrine disorders.

Endotrophin as a Biomarker for Severe Acute Kidney Injury and Major Adverse Kidney Events.

The search for novel biomarkers in acute kidney injury (AKI) continues, both in terms of being able to predict adverse events in AKI but also in terms of confirming pathogenic pathways as potential therapeutic targets. Endotrophin (ETP) is an emerging biomarker in a number of fibroinflammatory diseases. We sought to test the association of ETP with the development of major adverse kidney events (MAKE) in critically ill adult patients. Single-center prospective study of critically ill adult patients with stage 2-3 AKI and patients without AKI. Serum ETP was measured early in the first 3 days of critical care admission, 5-7 days later, and in some patients, 4-6 weeks later. The primary outcome was MAKE assessed at hospital discharge, a composite of mortality, kidney replacement therapy at discharge, and estimated glomerular filtration rate reduction of ≥ 25% from baseline. Among 121 patients evaluated in this study, serum ETP was significantly higher in patients with AKI vs. those without (p<0.05). In multivariable logistic regression analysis, higher tertiles of ETP were significantly associated with MAKE at discharge, controlled for relevant covariates. Further, sustained elevations in ETP 5-7 days later, as opposed to reductions towards normal, were also associated with MAKE. In patients seen in the clinic 4-6 weeks post-AKI, ETP remained elevated. In the acute period, ETP levels correlated most with TNF-α and neutrophil gelatinase-associated lipocalin. Higher levels of serum ETP early in the ICU admission, as well as sustained elevations of ETP within a 5-7 day period, are associated with MAKE at hospital discharge. ETP is a potential biomarker of AKI-related outcomes and a promising therapeutic target to minimize sequelae of AKI.

The diagnostic value of serum exosomal SNORD116 and SNORA21 for NSCLC patients.

Non-small cell lung cancer (NSCLC) is a widespread and serious global malignancy. This study aimed to examine the clinical relevance of serum exosomal SNORD116 and SNORA21 as novel diagnostic biomarkers for NSCLC. Serum exosomes from 226 healthy controls and 305 NSCLC patients were isolated by ultracentrifugation. Characterization of exosomes was conducted by qNano, transmission electron microscopy (TEM) and Western immunoblotting. RT-PCR revealed snoRNAs that were differentially expressed. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic performance. In NSCLC patients, the levels of serum exosomal SNORD116 and SNORA21 were significantly reduced compared to those in healthy controls (P < 0.0001 for both). ROC curves showed AUC values of 0.738 and 0.761. By combining SNORD116 and SNORA21 with traditional blood biomarkers CYFRA21-1 and carcinoembryonic antigen (CEA), the AUC increased to 0.917. Moreover, these two exosomal snoRNAs distinguished between patients with metastatic NSCLC (n = 132) and those with non-metastatic NSCLC (n = 173) significantly (P < 0.0001 for both). The ROC curves gave AUC values of 0.743 and 0.694, respectively. The combined analysis raised the AUC to 0.751. The diagnostic power of these two exosomal snoRNAs combined with CYFRA21-1 and CEA increased to 0.784. This study demonstrated that serum exosomal SNORD116 and SNORA21 can be used as potential promising non-invasive diagnostic biomarkers for NSCLC.

Integrating plasma proteome with genome reveals novel protein biomarkers in colorectal cancer.

Biomarkers for colorectal cancer (CRC) can complement population screening methods, but so far, few plasma proteins have been identified as biomarkers for CRC. This study aims to identify potential protein biomarkers and therapeutic targets for CRC within the proteome range. We extracted summary-level data of circulating protein from 7 published genome-wide association studies (GWASs) of plasma proteome for Mendelian randomization (MR), summary-data-based MR (SMR), and co-localization analyses to screen and validate proteins with causal effects in CRC. In addition, we further conducted druggability evaluation, prognosis analysis at the transcriptional level, and enrichment expression at the single-cell level, highlighting the important role of these plasma protein biomarkers in CRC. We identified 117 plasma protein biomarkers associated with CRC risk, with 9 proteins showing stronger genetic correlations in Bayesian co-localization (PP.H4 > 0.70). Further, we found 26 protein-coding genes already used in targeted drug development and may potentially become therapeutic targets for CRC. In prognosis analysis, the encoding genes of plasma proteins exhibited consistent effects with MR analysis and can serve as prognostic biomarkers for CRC. Additionally, we also found that the differentially expressed proteins are mainly expressed in fibroblasts, endothelial cells, macrophages, and T cells. Our study has identified plasma protein biomarkers associated with CRC risk, which may complement population screening methods for CRC and achieve more precise treatment for patients.

Differential expression of long non-coding RNAs in colon cancer: Insights from transcriptomic analysis

BackgroundColon Cancer (CC) incidence has sharply grown in recent years. Long non-coding RNAs (lncRNA) are produced by a group of non-protein-coding genes, and have important functions in controlling gene expression and impacting the biological features of various malignancies including CC. MethodsOur research focused on examining the function of lncRNAs in the development of colon cancer. To this end, we selected and analyzed a dataset (GSE104836) from the GEO database, which contained information about the expression of mRNAs and lncRNAs in both colon cancer tissues and normal adjacent paired tumor tissues. The DESeq2 R package in Bioconductor was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) that showed differences in expression levels. Next, by literature review of previous studies, we chose two lncRNAs (FENDRR and LINC00092) for additional studies. To validate our findings, a series of tests were performed on a total of 31 tumor tissues and normal paired adjacent tumor tissues. The lncRNA expression levels were assessed in tumor tissues as well as in surrounding normal tumor tissues. ResultsThe data confirmed that just two particular lncRNAs, FENDRR and LINC00092, had considerably decreased expression levels throughout all stages of cancer. In addition, the survival assay was conducted using the GEPIA2 software, revealing that a reduced expression of FENDRR is correlated with a reduced overall survival. Furthermore, our investigation using receiver operating characteristic (ROC) methodology revealed that these two lncRNAs had significant discriminatory ability between colon cancer and normal tissues. To determine the cause of the decrease in the activity of these two long non-coding RNAs (lncRNAs), we used methylation-specific PCR (MSP) to examine the methylation pattern of their promoter regions. Our investigation revealed hypermethylation in the promoter regions of FENDRR and LINC00092 within tumor tissues compared to normal adjacent tumor tissues. ConclusionTaken together, our findings revealed the lncRNAs signatures as potential therapeutic targets and molecular diagnostic biomarkers in colon cancer. Furthermore, the evidence provided substantiates the important role of promoter methylation in regulating the expression levels for both of these lncRNAs.

The CD44s Isoform is a Potential Biomarker for Predicting Craniopharyngioma Recurrence in Children

Adamantinomatous craniopharyngioma (ACP) is an intracranial tumor considered partly malignant due to its ability to infiltrate surrounding structures and tendency to relapse despite radical resection. CD44 is a known stem cell marker in ACP and is upregulated in cell clusters of invasive ACP protrusions; however, the functions of its alternative splicing isoform variants, CD44s and CD44v1-10, have not yet been studied in terms of ACP recurrence, despite their confirmed roles in cancer development and progression. In this study, we first confirmed the difference in total CD44 expression between samples from patients who experienced relapse and those from patients who did not. Moreover, our findings showed that, in recurrent samples, the predominant isoform expressed was CD44s, which might indicate its significance in predicting ACP recurrence. The association between increased CD44 expression and recurrence may lead to the development of prognostic markers of ACP aggressiveness and relapse potential; however, further studies are needed to clarify the exact mechanism of CD44 expression.

Adiponectin and visfatin as potential biomarkers of cardiovascular disease in postmenopausal women

Abstract Background Adiponectin and visfatin are involved in many changes associated with obesity and metabolic disorders so may be related to metabolic syndrome and cardiovascular disease. During the perimenopausal period, the risk of obesity and cardiometabolic diseases increases. Therefore, the aim of this study was to assess the relationship between cardiometabolic parameters and circulating levels of visfatin and adiponectin in perimenopausal women with regard to their obesity status. Material and methods This survey-based study was conducted among 168 perimenopausal women. It involved the use of questionnaires, anthropometric measurements, blood pressure measurements, and venous blood collection. Results Our study found that visceral adiposity index (VAI) and lipid accumulation product (LAP) were negatively correlated with adiponectin levels. Preliminary multivariate linear regression analysis revealed a positive correlation between circulating visfatin and IL-6 levels. Adiponectin was negatively correlated with HbA1C, fasting blood glucose, insulin, and triglycerides. Furthermore, circulating adiponectin was positively correlated with HDL, and negatively with HOMA-IR. Conclusions In the women studied, some adipokines may have played a significant role in the development of obesity, metabolic syndrome, and cardiometabolic diseases.

Serum proteome signatures associated with liver steatosis in adolescents with obesity.

Childhood obesity, a pressing global health issue, significantly increases the risk of metabolic complications, including metabolic dysfunction associated with steatotic liver disease (MASLD). Accurate non-invasive tests for early detection and screening of steatosis are crucial. In this study, we explored the serum proteome, identifying proteins as potential biomarkers for inclusion in non-invasive steatosis diagnosis tests. Fifty-nine obese adolescents underwent ultrasonography to assess steatosis. Serum samples were collected and analyzed by targeted proteomics with the Proximity Extension Assay technology. Clinical and biochemical parameters were evaluated, and correlations among them, the individuated markers, and steatosis were performed. Receiver operating characteristic (ROC) curves were used to determine the steatosis diagnostic performance of the identified candidates, the fatty liver index (FLI), and their combination in a logistic regression model. Significant differences were observed between subjects with and without steatosis in various clinical and biochemical parameters. Gender-related differences in the serum proteome were also noted. Five circulating proteins, including Cathepsin O (CTSO), Cadherin 2 (CDH2), and Prolyl endopeptidase (FAP), were identified as biomarkers for steatosis. CDH2, CTSO, Leukocyte Immunoglobulin Like Receptor A5 (LILRA5), BMI, waist circumference, HOMA-IR, and FLI, among others, significantly correlated with the steatosis degree. CDH2, FAP, and LDL combined in a logit model achieved a diagnostic performance with an AUC of 0.91 (95% CI 0.75-0.97, 100% sensitivity, 84% specificity). CDH2 and FAP combined with other clinical parameters, represent useful tools for accurate diagnosis of fatty liver, emphasizing the importance of integrating novel markers into diagnostic algorithms for MASLD.

Exploring the Roles of m6A-Modified circRNAs in Myasthenia Gravis Based on Multi-Omics Analysis.

Myasthenia gravis (MG) is an autoimmune disease mediated by autoantibodies. The important roles of circRNAs modified by m6A methylation have been reported in the pathogenesis of other autoimmune diseases, but remain unclear in MG. To address this point, we collected peripheral blood mononuclear cells from six MG patients and six healthy controls and performed m6A‑circRNA epitranscriptomic microarray and RNA sequencing. Differentially m6A-modified circRNAs and differentially expressed genes (DEGs) were analyzed. A network was constructed containing 17 circRNAs, 30 miRNAs, and 34 DEGs. The GSE85452 dataset was downloaded. DEGs that were differentially expressed in the GSE85452 dataset were selected as seed genes. Finally, four candidate m6A-modified circRNAs (hsa_circ_0084735, hsa_circ_0018652, hsa_circ_0025731, and hsa_circ_0030997) were identified through a random walk with restart. We found that they had different degree correlations with different immune cells. The results of MeRIP-qPCR showed that the m6A methylated levels of hsa_circ_0084735 and hsa_circ_0025731 were downregulated in MG patients, while the other two circRNAs were not significantly different between MG and control group. For the first time, we explored the pathogenesis of MG at the epigenetic transcriptome level. Our results will open new perspectives for MG research and identify potential biomarkers and therapeutic targets for MG.