Serum microRNAs Research Articles

Serum microRNA qPCR profiling and validation indicate upregulation of circulating miR-145-5p and miR-26a-5p in migraineurs

Abstract Background In recent years, miRNAs found in biological fluids have gained interest as biomarkers of numerous conditions, including migraine. This study aimed to identify differences in the levels of circulating miRNAs in the serum of migraineurs as compared to healthy controls, as well as between patients with different types of migraine and during the ictal and nonictal phases of the condition. Methods The screening phase of the study included serum from 13 migraine patients and 13 sex and age matched controls. A panel of 179 miRNAs was analysed using locked nucleic acid SYBR based qPCR. Based on statistical analysis (U Mann-Whitney test) and data from existing literature, nine miRNAs were selected for validation by TaqMan qPCR in an independent cohort of 26 migraineurs and eleven healthy controls. For comparison between the study and control group, U Mann-Whitney test was performed. The differences between patients with chronic and episodic migraine, migraine with and without aura and in ictal and nonictal phases were analysed with Kruskal-Wallis test. The results were corrected for multiple comparisons using Benjamini-Hochberg method. In all analysis p value ≤ 0,05 was considered as significant. Results Two miRNAs, miR-145-5p and miR-26a-5p were significantly upregulated in serum of migraineurs compared to healthy controls. MiRNA-19a-3p was downregulated in patients currently experiencing migraine headache compared to those in the interictal period. No differences were found between patients with different migraine types. Conclusion The results of our study add to the growing body of evidence for dysregulation of the circulating miRNA profile by migraine. They are further supported by previous reports on differential expression of miR-145-5p, miR-26a-5p and miR-19a-3p in migraineurs. However, more research on larger populations is needed to validate these findings, as well as elucidate the role of circulating miRNAs in the condition. Moreover, to wholly explore the biomarker potential of miRNAs, migraine patients should not only be compared to healthy controls but also to populations with different headache disorders. Graphical Abstract

Single-Molecule Detection of Serum MicroRNAs for Medulloblastoma with Biphasic Sandwich Hybridization-Assisted Plasmonic Resonant Scattering Imaging.

MicroRNA (miRNA) dysregulation is closely related to the occurrence and progression of medulloblastoma (MB). However, the full potential of serum circulating miRNAs in MB diagnosis is restricted by their ultralow abundance in peripheral blood due to blood-brain barrier. Here, we report the direct preamplification-free detection of aberrant expression of oncogenic miRNAs in serum from MB patients by proposing a simple yet robust single-molecule assay that combines biphasic sandwich hybridization in nucleic acids and the dark-field single-particle plasmonic imaging (B2S2PI). In this strategy, signal DNA was prehybridized with target miRNA in homogeneous solution to form sDNA-RNA complexes. Then the captured DNA strands with rationally adjusted surface densities could efficiently capture the sDNA-RNA complexes to generate a well-separated DNA-RNA sandwich structure. The combination of homogeneous and heterogeneous reactions enabled interface-mediated hybridization reactions to maintain molecular stability with fewer bases, making it suitable for the direct amplification-free assays of short miRNA targets. Labeling the DNA-RNA hybrids with plasmatic gold nanotags allowed nondestructive recognition and imaging of individual miRNA targets under mild conditions with high signal-to-noise ratio. By digitally counting and analyzing the bright plasmonic resonant scattering spots, B2S2PI enabled both the measurement of a low femtomolar concentration of circulating miRNA-21 in 5 μL sample volume within a turnaround of 2 h and the discrimination of single base mismatches. Moreover, B2S2PI was universal for detecting miRNAs with different sequences and secondary structures. Further analysis of clinical serum samples revealed that B2S2PI was capable of accurately distinguishing MB patients from noncancer controls with an area under the curve (AUC) of 0.99, which was superior to that of qRT-PCR. B2S2PI holds promise as a novel alternative means for single-molecule miRNA assay and sheds light on the circulating nucleic acid-based liquid biopsy of intracranial malignant tumors.

Abstract B075: Detection of early gastric carcinoma by micronuclei DNA from erythrocytes

Abstract Background: Advancements in non-invasive diagnostic technologies for gastric carcinoma (GC), including serum microRNA and cell-free DNA assays, have shown promise but still face challenges in achieving consistent early detection. Micronuclei (MN), extranuclear bodies harboring fragmented chromosomal segments, are indicative of genomic instability and have been employed in genotoxicity assessments and cancer diagnostics. We have developed a novel technique (WO2021/228246 A1) for the purification and characterization of micronuclei DNA (MN-DNA) extracted from erythrocytes in peripheral blood. Here, we evaluated the potential of micronuclei DNA (MN-DNA) from 2ml peripheral blood for early gastric carcinoma detection and explored its application for early cancer diagnosis. Methods: We assembled a clinical cohort consisting of 425 healthy donors (HDs) and 282 gastric cancer patients, from whom 1-2 mL peripheral blood samples were collected. Participants were randomly allocated into training, validation, and independent test cohorts in a 7:2:1 ratio, ensuring similar distributions of cancer stages and gender. MN-DNA was isolated from erythrocytes and subjected to comprehensive whole-genome sequencing. Predictive machine learning models were constructed utilizing distinct tumor-associated MN-DNA features identified through genome-wide analysis to distinguish between HDs and GC. Results: Comprehensive genome-wide analysis of MN-DNA demonstrated pronounced disparities in distribution patterns between HDs and GC patients. The predictive model built on MN-DNA features achieved an AUC of 97.69% (95%CI: 95.57- 99.81%), with an 96.47% specificity and 91.07% sensitivity in the independent test cohort. The model identified early GC (stage 0-I) and advanced GC (stage II-IV) with sensitivities of 95.24% or 78.57%, respectively. Conclusions: Our results demonstrate that MN-DNA from 1-2mL peripheral blood enable accurate detection of GC, especially in early GC. As a type of cytoplasmic DNA, MN-DNA can provide a valuable tool for early cancer detection, offering different underlying mechanisms compared to current methods. Research sponsor: Timing Biotech. Citation Format: Yuehua Han, Xingyun Yao, Haobo Sun, Cheng Fang, Peiwei Li, Honghao Liang, Jie Jin, Xiaofei Gao. Detection of early gastric carcinoma by micronuclei DNA from erythrocytes [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B075.

BIOM-33. INVESTIGATING MIR-21 AS A NON-INVASIVE PROGNOSTIC BIOMARKER IN GLIOMA PATIENTS IN RESOURCE CONSTRAINT SETTINGS

Abstract BACKGROUND Glioma treatment remains challenging due to high recurrence rates and resistance to treatment. Diagnosis and follow-up in resource-constrained regions often leads to significant patient attrition. Serum microRNA (miRNA) expression profiles are shown to be expressed in tumor tissue and peripheral samples, offering a pathway for non-invasive, repetitive liquid biopsies. miR-21 shows promise in many populations; however, there is a dearth of data from our region. METHODOLOGY we collected 89 intraoperative tumor tissue samples, 42 pre- and post-operative serum samples from glioma patients, and included 10 control tissue samples along with 8 normal serum samples and analyzed for miR-21 expression through qPCR. Serum samples were collected before tumor resection and post-surgery (pre- and post-operative). Correlational analysis with molecular markers IDH, Ki-67, ATRX, p53, and survival curves through the Kaplan-Meier method were calculated in high and low miR-21 expression groups, The hazard ratio was quantitatively determined using Cox regression analysis, considering both univariate associations and multivariate correlations with clinical parameters. RESULTS miR-21 expression in tissue increased with higher grades of glioma (p=0.00064), of patients above 50 years (p=0.0027), and shows a positive correlation with tumor volume (r= 0.22, p=0.081). IDH-wildtype (p=2.06e-03) and high Ki-67 (p=2.50e-03) expression in tumors showed significant upregulation of miR-21 compared to IDH-mutant and low Ki-67. Patients with low miR-21 expression had significantly longer overall survival (OS) than patients with high miR-21 expression (p =0.006). Quantitative hazard analysis indicates that patients in the high expression group have a 2.77 times higher risk of mortality (95% CI: upper - 0.19, lower - 0.92), in comparison to patients in the low expression group (p= 0.008). CONCLUSION Our findings validate the future utility of miR-21 as a serum assay to help diagnose and assess treatment response in different grades of glioma, within our population. Keywords: Glioma, Biomarker, Molecular markers, Liquid biopsy

The Development of a Non-Invasive Screening Method Based on Serum microRNAs to Quantify the Percentage of Liver Steatosis

Metabolic dysfunction-associated steatotic liver disease (MASLD) is often asymptomatic and underdiagnosed; consequently, there is a demand for simple, non-invasive diagnostic tools. In this study, we developed a method to quantify liver steatosis based on miRNAs, present in liver and serum, that correlate with liver fat. The miRNAs were analyzed by miRNAseq in liver samples from two cohorts of patients with a precise quantification of liver steatosis. Common miRNAs showing correlation with liver steatosis were validated by RT-qPCR in paired liver and serum samples. Multivariate models were built using partial least squares (PLS) regression to predict the percentage of liver steatosis from serum miRNA levels. Leave-one-out cross validation and external validation were used for model selection and to estimate predictive performance. The miRNAseq results disclosed (a) 144 miRNAs correlating with triglycerides in a set of liver biobank samples (n = 20); and (b) 124 and 102 miRNAs correlating with steatosis by biopsy digital image and MRI analyses, respectively, in liver samples from morbidly obese patients (n = 24). However, only 35 miRNAs were common in both sets of samples. RT-qPCR allowed to validate the correlation of 10 miRNAs in paired liver and serum samples. The development of PLS models to quantitatively predict steatosis demonstrated that the combination of serum miR-145-3p, 122-5p, 143-3p, 500a-5p, and 182-5p provided the lowest root mean square error of cross validation (RMSECV = 1.1, p-value = 0.005). External validation of this model with a cohort of mixed MASLD patients (n = 25) showed a root mean squared error of prediction (RMSEP) of 5.3. In conclusion, it is possible to predict the percentage of hepatic steatosis with a low error rate by quantifying the serum level of five miRNAs using a cost-effective and easy-to-implement RT-qPCR method.

Serum microRNA Biomarker Expression in HIV and TB: A Concise Overview.

Non-coding RNAs (ncRNAs), specifically MicroRNAs or miRNAs, are now under-stood to be essential regulators in the complex field of gene expression. By selectively bind-ing to certain mRNA targets, these tiny RNA molecules control the expression of genes., leading to mRNA degradation or translational repression. The discovery of miRNAs has sig-nificantly advanced biomedical research, particularly in elucidating the molecular mecha-nisms underlying various diseases and exploring innovative therapeutic approaches. Recent progress in miRNA research has provided insights into their biogenesis, functional roles, and potential clinical applications. Despite the absence of established methodologies for clinical implementation, miRNAs show great promise as diagnostic and therapeutic agents for a wide array of diseases. Their distinctive attributes, such as high specificity, sensitivity, and accessibility, position them as ideal candidates for biomarker development and targeted therapy. Achieving a comprehensive understanding of miRNA biology and functionality is crucial to fully harnessing their potential in medicine. Ongoing research efforts aim to un-ravel the intricate mechanisms of miRNA-mediated gene regulation and to develop novel approaches for utilizing miRNAs in disease diagnosis, prognosis, and treatment. This review provides a comprehensive analysis of current knowledge on miRNAs, focusing on their bio-genesis, regulatory mechanisms, and potential clinical applications. By synthesizing existing evidence and highlighting key research findings, this review aims to inspire further explora-tion into the diverse roles of miRNAs in health and disease. Ultimately, this endeavour could result in the development of innovative miRNA-based diagnostic and therapeutic strategies.

The levels and clinical significance of serum miR-146a, miR-145, Th17/Treg in children with respiratory syncytial virus infection pneumonia

To investigate the levels and clinical significance of serum microRNA (miR)-146a, miR-145, T-helpertype17 (Th17)/regulatory T cell (Treg) in children with respiratory syncytial virus (RSV) infectious pneumonia. The clinical data of 200 children with RSV infectious pneumonia admitted to Nantong Maternal and Child Health Hospital from June 2020 to June 2023 were retrospectively collected as the study group. At the same time, 200 children with mycoplasma pneumonia were selected as the common pneumonia group and 200 healthy children were selected as the healthy group. The levels of serum inflammatory factors [interleukin-6 (IL-6), interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α)] were detected by enzyme-linked immunosorbent assay. The expression levels of serum miR-146a and miR-145 were detected by RT-qPCR. The levels of Th17/Treg were detected by flow cytometry. The levels of miR-146a, miR-145, Th17/Treg and serum inflammatory factors were compared among the three groups. Pearson method was used to analyze the correlation between miR-146a, miR-145, Th17/Treg and serum inflammatory factors in children with RSV infectious pneumonia. The receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic value of miR-146a, miR-145, Th17/Treg in children with respiratory syncytial virus infection pneumonia. The results showed that in the study group, miR-146a (2.01±0.58), miR-145 (1.81±0.46), Th17/Treg (1.09±0.31), IL-6 (7.82±2.11) ng/L and TNF-α (9.82±2.96) ng/L were higher than those in the common pneumonia group miR-146a (1.49±0.42), miR-145 (1.43±0.31), Th17/Treg (0.77±0.24), IL-6 (5.89±1.32) ng/L, TNF-α (7.34±2.32) ng/L and healthy group miR-146a (1.25±0.19), miR-145 (1.19±0.16), Th17/Treg (0.38±0.09), IL-6 (4.52±1.04) ng/L, TNF-α (5.39±1.07)ng/L. The levels of the above indexes in the common pneumonia group were higher than those in the healthy group, and the differences were statistically significant (F=183.543, 175.938, 617.182, 226.657, 193.459, P<0.05). In the study group, IFN-γ (14.18±3.25) pg/ml was lower than that in the control group (19.52±5.13) pg/ml, but higher than that in the healthy group (9.77±2.40) pg/ml, and the difference was statistically significant (F=335.432, P<0.05). Pearson correlation analysis showed that miR-146a, miR-145 and Th17/Treg were positively correlated with IL-6 and TNF-α (P<0.05), but negatively correlated with IFN-γ (P<0.05). ROC curve results showed that the area under the curve (AUC) of miR-146a, miR-145 and Th17/Treg in the diagnosis of RSV infectious pneumonia was 0.767, 0.762 and 0.790, respectively, while the combined detection of the three was 0.904. In conclusion, the levels of miR-146a, miR-145 and Th17/Treg are highly expressed in children with RSV infectious pneumonia, and are closely related to the inflammatory response of children. The combined detection of the three may have certain application value in the auxiliary diagnosis of RSV infectious pneumonia.

Circulating Serum Micro-RNA as Non-Invasive Diagnostic Biomarkers of Endometriosis.

Endometriosis (END) is a painful gynecological condition. Clinical examination, imaging, and laparoscopy can provide a definitive diagnosis of END. Nonetheless, non-invasive biomarkers could help enhance and streamline the diagnostic process. Micro-RNAs (miRNAs), a family of small non-coding RNAs, could serve as useful non-invasive biomarkers for END. The aim of this study was to perform serum miRNA profiling in a retrospective cohort of women to identify miRNAs that are differentially expressed in END compared to control patients. RNA was isolated from serum samples of 67 END patients and 60 control women. The expression profile of a 754-miRNA panel was studied with RT-qPCR performed on a QuantStudio 12K Flex with the TaqMan OpenArray miRNA panel. A Censored Regression Model was used for miRNA differential expression analysis. Several gene-enrichment algorithms were employed to identify pathways related to the target genes of differentially expressed miRNAs. One hundred and thirty miRNAs were detected in at least 75% of samples from either the END or the control group. Sixteen miRNAs were significantly modulated between the END and control groups. Enrichment analysis identified targets significantly overrepresented in numerous pathways involved in biological processes related to END, including inflammation, angiogenesis, cellular invasion, cell-cycle/cell proliferation, and estrogen and progesterone hormonal signaling. Our study indicates that differentially expressed miRNAs between END patients and controls can be identified through liquid biopsy. Our findings also suggest a potential role for serum miRNAs in the pathophysiology of END, warranting further investigations for their use as non-invasive biomarkers.

Integrated Analysis of Serum and Tissue microRNA Transcriptome for Biomarker Discovery in Gastric Cancer.

Gastric cancer (GC) poses a significant global health challenge, demanding a detailed exploration of its molecular landscape. Studies suggest that exposure to environmental pollutants can lead to changes in microRNA (miRNA) expression patterns, which may contribute to the development and progression of GC. MiRNAs have emerged as crucial regulators implicated in GC pathogenesis. The largest GC serum miRNA dataset to date, comprising 1417 non-cancer controls and 1417 GC samples was used. We conducted a comprehensive analysis of miRNA expression profiles. Differential expression analysis, co-expression network construction, and machine learning models were employed to identify key serum miRNAs and their association with clinical parameters. Weighted Gene Co-expression Network Analysis (WGCNA) and immune infiltration analysis were used to validate the importance of the key miRNA. A total of 1766 differentially expressed miRNAs were identified, with miR-1290, miR-1246, and miR-451a among the top up-regulated, and miR-6875-5p, miR-6784-5p, miR-1228-5p, and miR-6765-5p among the top down-regulated. WGCNA revealed that modules M1 and M5 were significantly associated with GC subtypes and disease status. MiRNA-target gene network analysis identified prognostically significant genes TP53, EMCN, CBX8, and ALDH1A3. Machine learning models LASSO, SVM, randomforest, and XGBOOST demonstrated the diagnostic potential of miRNA profiles. Tissue and serum miR-187 emerged as an independent prognostic factor, influencing patient survival across clinical parameters. Gene expression and immune cell infiltration were different in tissues stratified by miR-187 expression. In summary, the integration of differential gene expression, co-expression analysis, and immune cell profiling provided insights into the molecular intricacies of GC progression.

Different expression patterns of inflammation-related genes and serum microRNAs in young-onset ischemic stroke

Brain ischemia results in the activation of a cascade of inflammatory responses, contributing to the pathogenesis of stroke. This study aimed to assess the patterns of possible changes in the expression of specific inflammation-associated protein-encoding genes and miRNAs in the peripheral blood between the acute and chronic phase of young-onset cryptogenic (Cryp) and large-artery atherosclerotic (LAA) stroke. Blood and serum were collected from patients with cryptogenic and large-artery atherosclerotic stroke at the stroke onset and 1-year follow-up. The relative expression of inflammation-related genes was analysed at the mRNA and miRNA levels using real-time quantitative PCR. Moreover, the relationship between the relative gene expression levels and clinical data was assessed using several different statistical approaches. Seventy-three patients were included in this study, with a median age of 47 (IQR, 9) years. Approximately 72% were men. In patients with cryptogenic stroke, at the mRNA level, ICAM1, CXCL8, TNF, NFKBIA, PYCARD, IL1B, and IL18 were observed to be upregulated at the stroke onset compared to the 1-year follow-up. In patients with LAA stroke, only the expression of NFKBIA was significantly higher during acute stroke. Further, the miRNA serum levels of miR-21, miR-122, and miR-155 were higher at the onset of stroke in patients with cryptogenic stroke but not in those with LAA stroke. The differences between the relative gene expression levels during acute stroke and at the 1-year follow-up were more pronounced in patients with cryptogenic stroke with no cardiovascular risk factors. The expression changes of inflammatory genes in whole blood and miRNAs in the serum differ in patients with cryptogenic and LAA stroke.

Dual mature microRNA-responsive logic biosensing platform based on CRISPR/Cas12a and DNA nanocage

Mature microRNAs play crucial roles in tumorigenesis and progression. However, their potential as cancer biomarkers is limited by the sequence interference of precursor microRNAs and the occurrence of false positive signals mediated by single microRNAs. Herein, we reported a dual mature microRNA-responsive second-order (YES-AND) logic biosensing platform for accurate cancer diagnosis. Specifically, DNA nanocages were conceived as the first stage of “YES” gates, capable of signal transduction through strand displacement reactions, and realizing size-selective discrimination of mature microRNAs and pre-microRNAs. Subsequently, CRISPR/Cas12a system served as the second stage of “AND” gate, wherein dual activators cooperatively triggered trans-cleavage. As a proof-of-concept, this second-order logic biosensing platform was successfully applied to detect non-small cell lung cancer-related mature microRNA in clinical serum, and showed remarkable sensitivity (Lod = 100 pM) and trueness (recovery ≥ 90%). Our study represents a significant step forward in the development of intelligent biosensors capable of performing complex computations within pathological networks, and opens up broader possibilities for applications in biological science study and clinic disease diagnosis.

Noninvasive multi-cancer detection using blood-based cell-free microRNAs.

Patients diagnosed with early-stage cancers have a substantially higher chance of survival than those with late-stage diseases. However, the option for early cancer screening is limited, with most cancer types lacking an effective screening tool. Here we report a miRNA-based blood test for multi-cancer early detection based on examination of serum microRNA microarray data from cancer patients and controls. First, a large multi-cancer training set that included 1,408 patients across 7 cancer types and 1,408 age- and gender-matched non-cancer controls was used to develop a 4-microRNA diagnostic model using 10-fold cross-validation. In three independent validation sets comprising a total of 4,875 cancer patients across 13 cancer types and 3,722 non-cancer participants, the 4-microRNA model achieved greater than 90% sensitivity for 9 cancer types (lung, biliary tract, bladder, colorectal, esophageal, gastric, glioma, pancreatic, and prostate cancers) and 75-84% sensitivity for 3 cancer types (sarcoma, liver, and ovarian cancer), while maintaining greater than 99% specificity. The sensitivity remained to be > 99% for patients with stage 1 lung cancer. Our study provided novel evidence to support the development of an inexpensive and accurate miRNA-based blood test for multi-cancer early detection.

A combined model of six serum microRNAs as diagnostic markers for hepatocellular carcinoma

BackgroundHepatocellular carcinoma (HCC) is associated with high morbidity and mortality, and its poor prognosis is mainly due to the lack of an effective means of early diagnosis. This study aimed to identify a group of serum microRNAs (miRNAs) as potential biomarkers for the diagnosis of HCC. MethodsWe collected 190 HCC cases, 109 benign lesions of the liver, 40 cases of non-HCC tumors, and 130 healthy controls. The 469 participants were divided into training and validation sets. A literature search revealed 12 miRNAs closely associated with HCC. In the training set, significantly differentially expressed miRNAs (DEmiRNAs) were screened using real-time quantitative PCR, and a diagnostic model of HCC was constructed using logistic regression analysis. An independent validation was performed using a validation set. The identified DE miRNAs were subjected to target gene prediction and functional analyses. ResultsCompared to the controls, the levels of miR-21, miR-221, miR-801, and miR-1246 significantly decreased in HCC (P < 0.05), while the levels of miR-26a and miR-122 significantly increased (P < 0.05). A diagnostic model based on the six DE miRNAs was successfully constructed, with AUC values of 0.953 for the training set and 0.952 for the verification set. Finally, 100 target genes of the DE miRNAs were predicted and were significantly enriched in the B cell receptor, neurotrophin, ferroptosis, and EGFR tyrosine kinase inhibitor resistance signaling pathways. ConclusionsThe constructed diagnostic model based on six DE miRNA combinations has important clinical value for the early diagnosis of HCC

Identification and evaluation of a serum microRNA panel to diagnose colorectal cancer patients.

Screening plays a crucial role in the early detection of colorectal cancer, greatly reducing mortality rates. The objective of this study was to identify a non-invasive diagnostic method utilizing serum microRNA expression for the diagnosis of colorectal cancer patients. The study consisted of three stages. In the first stage, 129 patients with colorectal cancer and 129 normal subjects were recruited as the training set for the development of a blood miRNA panel. The second stage involved recruiting 200 patients from each group as the validation cohort. Finally, a blinded study was conducted in the third stage, with 260 patients recruited to determine the predictive value of our miRNA panel. Serum samples were prospectively collected from colorectal cancer patients and normal subjects between 2017 and 2021 at Queen Mary Hospital in Hong Kong. Quantitative PCR was utilized to detect the serum levels of candidate microRNAs, and a multiple linear regression model was employed to formulate a serum microRNA panel for diagnosing colorectal cancer patients. The performance of the panel was evaluated using ROC analysis. Our study showed that the values of three pairs of serum microRNAs, namely miR-106b-5p/miR-1246, miR-106b-5p/miR-16 and miR-106b-5p/miR-21-5p, exhibited statistically significant differences between colorectal cancer patients and normal subjects. A serum microRNA panel formulated from these three pairs of microRNAs demonstrated high accuracy in diagnosing colorectal cancer patients from normal subjects, with an AUC of approximately 0.9. The serum miRNA test proved to be a feasible and promising non-invasive biomarker for the diagnosis of colorectal cancer patients in comparison to normal subjects.

Kawasaki Disease: An update on Genetics and Pathophysiology.

Kawasaki disease (KD), a systemic vasculitic condition predominantly affecting children, remains a significant challenge in pediatric health care. First identified in 1967, KD is now recognized as the primary cause of pediatric ischemic heart disease in developed countries. This review provides a comprehensive update of KD, focusing on biomarkers, pathophysiology, and genetic associations. KD's clinical manifestation, including symptoms such as persistent fever and mucocutaneous changes, often overlaps with other pediatric conditions, complicating its diagnosis. This ambiguity, especially in cases of incomplete KD, highlights the critical need for specific biomarkers and more precise diagnostic methods. Recent studies have made promising advancements in identifying serum biomarkers and microRNAs, contributing to the development of rapid diagnostic tools. However, these are yet to be fully integrated into clinical practice. The article focuses on the pathophysiological aspects of KD, highlighting the potential for targeted therapies and personalized medicine approaches based on genetic predispositions. Collaborative efforts in global research and raising public awareness about KD are emphasized as key strategies for improving its management. This review presents the current understanding of KD while pointing out the gaps and future directions in research and clinical care. The ultimate goal is to enhance diagnostic accuracy, optimize treatment strategies, and improve patient outcomes, thereby addressing the complexities of this enigmatic and potentially life-threatening condition in pediatric medicine.

Serum miRNA improves the accuracy of a multivariate index assay for triage of an adnexal mass

ObjectiveTo determine whether a multimodal assay combining serum microRNA with protein biomarkers and metadata improves triage assessment of an adnexal mass. MethodsSerum samples from 468 training subjects (191 cancer cases and 277 benign adnexal mass controls or healthy controls) were analyzed for seven protein biomarkers and 180 miRNA. Circulating analyte data were combined with age and menopausal status (metadata) into a neural network model to classify samples as cases or controls. Forward regression with ten-fold cross-validation minimized the dimensionality of the model while maximizing linear separation between cases and controls. Model validation proceeded using both internal (44 cases and 56 controls) and external validation sets (51 cases and 59 controls). ResultsThe total study population comprised 678 subjects, including 286 cases and 392 controls. Overall, 290 (43%) of the subjects were premenopausal. A panel of 10 miRNA delivered optimal performance when combined with protein and metadata features. The combined model improved the Receiver Operator Characteristic Area Under the Curve (ROC AUC) on the internal (AUC = 0.9; 95% CI 0.81–0.95) and external validation sets (AUC = 0.95; 95% CI 0.90–0.98) compared to miRNA alone or proteins plus metadata (without miRNA). On external validation, the combined model offered 92% sensitivity at 80% specificity overall, with 80% and 100% sensitivity for early and late-stage cancers, respectively, including 78% sensitivity for early-stage, serous ovarian cancers and 82% sensitivity for early-stage, non-serous cancers. ConclusionsA multimodal assay combining miRNA with protein biomarkers, age, and menopausal status improves surgical triage of an adnexal mass.

Machine learning-based noninvasive diagnostic classifiers for the prediction of cancer tissue of origin using serum microRNAs.

101 Background: Noninvasive multi-cancer early detection (MCED) with or without tissue of origin (TOO) has the potential to reduce cancer-related mortality by analyzing circulating cell-free nucleic acids and/or proteins in blood. Accurate prediction of TOO following a positive MCED test would guide selection of confirmatory tests, thereby expediting the definitive diagnosis and prompt initiation of the most appropriate treatment, tailored to the specific cancer type. Here, we report the development of machine learning-based diagnostic classifiers that predict TOO for 13 cancer types with high accuracy using serum microRNAs. Methods: Eight serum miRNA microarray datasets from GEO totaling 6,283 patients across 13 cancer types were used in this study. The patients were split, with an approximate 3:2 ratio, into a training (n=3,844) and a validation set (n=2,439). An ensemble of classifiers was constructed in the training set via the “one vs. rest” approach, thus one classifier for each cancer type. Random forest models with recursive feature elimination (RFE) selected the optimal set of miRNAs that was fed into support vector machine models to generate a prediction probability for each cancer type. The type with the highest probability was considered the predicted cancer type. The performance of these classifiers was evaluated in the validation set in two steps with the 1st using all cancer types and the 2nd using the top 2 or 3 cancer types from the 1st step to achieve a refined prediction. Results: RFE selected 426 miRNAs for building the 13 classification models. In the validation set comprising 2,439 patients across 12 cancer types, the classifiers correctly predicted cancer types for 1,922 (79%) samples based on the highest prediction probability. The accuracy increased to 92% and 95% based on top 2 and 3 predictions. In particular, based on top 3 predictions, the accuracy was &gt;95% for bladder, breast, prostate, gastric, glioma and lung cancers, &gt;85% for ovarian, liver and esophageal cancers, 78% for pancreatic cancer and sarcoma, and 67% for colorectal cancer. Conclusions: With 95% accuracy in narrowing TOO down to 3 organ sites, the miRNA-based TOO classifiers could be used clinically as a reflex test for the simple and highly accurate MCED screening models previously developed ( Cancers 2022,14:1450; ESMO 2024). Together, they support the development of an inexpensive, accurate and noninvasive blood test for MCED with TOO.

Diagnostic and Prognostic Role of Circulating microRNAs in Patients with Coronary Artery Disease-Impact on Left Ventricle and Arterial Function.

Recent studies reported that circulating microRNAs (miRNAs) can target different metalloproteases (MMPs) involved in matrix remodeling and plaque vulnerability. Consequently, they might have a role in the diagnosis and prognosis of coronary artery disease. To quantify circulating miRNAs (miRNA126, miRNA146, and miRNA21) suggested to have possible cardiovascular implications, as well as levels of MMP-1 and MMP-9, and to determine their association with left ventricular (LV) function and with arterial function, in patients with either ST-segment elevation acute myocardial infarction (STEMI) or stable ischemic heart disease (SIHD). A total of 90 patients with coronary artery disease (61% men, 58 ± 12 years), including 60 patients with STEMI and 30 patients with SIHD, were assessed within 24 h of admission, by measuring serum microRNAs, and serum MMP-1 and MMP-9. LV function was assessed by measuring ejection fraction (EF) by 2D and 3D echocardiography, and global longitudinal strain (GLS) by speckle tracking. Arterial function was assessed by echo tracking, CAVI, and peripheral Doppler. Circulating levels of miRNA146, miRNA21, and MMP1 were significantly increased in patients with STEMI vs. SIHD (p = 0.0001, p = 0.0001, p = 0.04, respectively). MiRNA126 negatively correlated with LVEF (r = -0.33, p = 0.01) and LV deformation parameters (r = -0.31, p = 0.03) in patients with STEMI and negatively correlated with ABI parameters (r = -0.39, p = 0.03, r = -0.40, p = 0.03, respectively) in patients with SIHD. MiRNA146 did not have any significant correlations, while higher values of miRNA21 were associated with lower values of GLS in STEMI patients and with higher values of GLS in SIHD patients. Both MMP1 and MMP9 correlated negatively with LVEF (r = -0.27, p = 0.04, r = -0.40, p = 0.001, respectively) and GLS in patients with STEMI, and positively with arterial stiffness in patients with SIHD (r = 0.40 and r = 0.32, respectively; both p < 0.05). MiRNA126, miRNA21, and both MMP1 and MMP9 are associated with LV and arterial function parameters in patients with acute coronary syndrome. Meanwhile, they inversely correlate with arterial function in patients with chronic atherosclerotic disease. However, further studies are needed to establish whether these novel biomarkers have diagnosis and prognosis significance.

AB062. Investigating miR-21 as a non-invasive prognostic biomarker in glioma patients.

Glioma prognosis remains a challenge due to its high recurrence and resistance to treatment. Diagnosis and follow-up in resource-constrained regions often lead to significant patient attrition. Serum microRNAs (miRNAs) are seen to be aberrantly expressed in malignancies can be found in tumor tissues and peripheral samples. This offers a pathway for non-invasive liquid biopsies. miR-21 is an established biomarker for glioma prognosis, which needs to be validated in our population. We collected 89 intraoperative tumor tissue samples, and 42 pre- and post-operative serum samples from glioma patients, ten control tissues, eight healthy serum samples and analysed for miR-21 expression through quantitative polymerase chain reaction (qPCR) analysis. Correlational analysis with molecular markers isocitrate dehydrogenase (IDH), Ki-67, ATRX, p53, and survival curves through the Kaplan-Meier method were calculated in high and low miR-21 expression groups. The hazard ratio was quantitatively determined using Cox regression analysis, considering both univariate associations and multivariate correlations with clinical parameters. miR-21 expression in tissue was significantly upregulated with increase of glioma grades (P<0.001) and in patients above 50 years (P=0.003) age group. Whereas no gender bias was seen in its expression pattern. Its expression did not show any correlation with tumor volume (r=0.22, P=0.08). A similar expression pattern of miR-21 was observed in serum samples of glioma. IDH-wildtype (P=2.06e-03) and high Ki-67 (P=2.50e-03) patient group showed significant upregulation of miR-21 expression compared to IDH-mutant and low Ki-67 group. Patients with low miR-21 expression had significantly longer overall survival (OS) than patients with high miR-21 expression (P =0.006). Similarly, quantitative hazard analysis indicates that patients in the high expression group have 2.77 times higher risk of mortality [95% confidence interval (CI): 0.19-0.92], in comparison to patients in the low expression group (P=0.008). Our findings validate the utility of miR-21 as a prognostic serum biomarker to help diagnose and assess treatment response in advancing glioma grades, within our population.

A dual-mode electrochemical biosensor based on GO-Fe3O4 doped PEDOT nanocomposite for the ultrasensitive assay of microRNA

MicroRNA, as a distinctive biomarker, plays a crucial role in the early prognosis and diagnosis of numerous severe diseases. However, due to its inherent properties such as low abundance, small size, and high sequence similarity, the sensitive and accurate detection of microRNA remains a major challenge. Herein, a dual-mode electrochemical biosensing platform was developed for microRNA detection, based on poly(3,4-ethylenedioxythiophene) (PEDOT) doped with graphene oxide-Fe3O4 (GO-Fe3O4) nanocomposite. The GO-Fe3O4/PEDOT composite demonstrated a porous microstructure, outstanding conductivity, and robust catalytic activity towards nitrite. It was electrodeposited onto the electrode surface in a one-step process using the cyclic voltammetry method (CV). The microRNA biosensor was obtained by anchoring DNA with amino groups to the GO-Fe3O4/PEDOT layer through the formation of amide bonds. The designed dual-mode microRNA biosensor demonstrated a broad linear range spanning from 10−15 M to 10−6 M, with low detection limits of 5.18 × 10−15 M and 7.36 × 10−15 M when using chronocoulometry (CC) and amperometric i-t curve (i-t) modes, respectively. Furthermore, a dual-mode electrochemical biosensor has been successfully developed and utilized for the detection of microRNA in human serum, demonstrating its potential for precise and sensitive microRNA detection and its practical application value in clinical medicine.