A comprehensive proteomic analysis reveals novel inflammatory biomarkers in intracranial aneurysms

Journal of Proteomics, Journal Year: 2025, Volume and Issue: 313, P. 105374 - 105374

Published: Jan. 5, 2025

Language: Английский

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Development and Validation of Machine Learning-Based Model for Hospital Length of Stay in Patients Undergoing Endovascular Interventional Embolization for Intracranial Aneurysms

World Neurosurgery, Journal Year: 2025, Volume and Issue: 195, P. 123636 - 123636

Published: Jan. 27, 2025

This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms. Employing a retrospective cohort design, this collected ruptured IA who received treatment at Jingzhou First People's Hospital during inclusion period from September 2022 December 2023. The entire dataset randomly split into training testing 7:3 ratio. Six models including Logistic regression (LR) support vector (SVM), random forest (RF), extreme gradient boosting (XGBoost), K nearest neighbors (KNN), Naive Bayes (NB) were constructed. Each assessed using sensitivity 95% confidence interval (CI), specificity, positive predictive value (PPV), negative (NPV), area under curve (AUC), accuracy, F1-Score. performance optimal compared against other net reclassification index (NRI), integrated discrimination improvement (IDI). In study, 325 enrolled, 227 assigned set 98 set. comprised 163 LOS below third quartile 64 or above quartile. Age, Hunt-Hess grade, National Institutes Health Stroke Scale (NIHSS), white blood cell (WBC) count, Fisher grade II, moderate aneurysm size, preoperative dexmedetomidine administration, postoperative complications electrolyte imbalance correction, encephaledema, respiratory system disease identified as factors. RF exhibited best AUC 0.928 (95% CI: 0.895 0.961) high consistent set, where remained strong 0.912 0.851 0.973). comprehensively key for confirmed efficacy an predicting embolization. construction may effectively optimize healthcare resource utilization, inform better clinical decision-making, offer valuable prognostic insights.

Language: Английский

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The value of systemic immune inflammation index, white blood cell to platelet ratio, and homocysteine in predicting the instability of small saccular intracranial aneurysms

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 16, 2024

Inflammation has a destructive effect on the homeostasis of vascular wall, which is involved in formation, growth, and rupture human intracranial aneurysms (IAs) disease progression. However, inflammation-related markers have not been well studied risk stratification unruptured IAs. The purpose this study was to investigate predictive value serum inflammatory unstable progression small saccular (SIAs). This retrospectively included 275 patients with SIAs (aneurysm diameter less than or equal 7 mm), compare level difference complex marker systemic immune-inflammatory index (SII), white blood cell platelet ratio (WPR), homocysteine (Hcy) stable (asymptomatic unruptured) (symptomatic unruptured, ruptured) SIAs. 187 (68%) had aneurysm-related compression symptoms outcomes. In multivariate logistic regression after adjusting for baseline differences, SII, WPR, Hcy were independent factors instability SIAs, prediction model combined other (previous stroke history, aneurysm irregularity) showed good ability an area under curve 0.905. addition, correlation analysis that also significant differences symptomatic ruptured higher inflammation levels often promoted Higher WPR can be used as predictors As economical convenient biomarker, it crucial clinical treatment strategies

Language: Английский

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Identification and validation of core genes associated with intracranial aneurysms through bioinformatics analysis and Mendelian randomization

Brain Research, Journal Year: 2024, Volume and Issue: 1838, P. 149009 - 149009

Published: May 18, 2024

Language: Английский

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Inflammasome Proteins Are Reliable Biomarkers of the Inflammatory Response in Aneurysmal Subarachnoid Hemorrhage

Cells, Journal Year: 2024, Volume and Issue: 13(16), P. 1370 - 1370

Published: Aug. 17, 2024

Aneurysmal subarachnoid hemorrhage (aSAH) is caused by abnormal blood vessel dilation and subsequent rupture, resulting in pooling the space. This neurological insult results activation of inflammasome, a multiprotein complex that processes pro-inflammatory interleukin (IL)-1 cytokines leading to morbidity mortality. Moreover, increases inflammasome proteins are associated with clinical deterioration many diseases. Limited studies have investigated protein expression following aSAH. Reliable markers inflammatory response aSAH may allow for earlier detection patients at risk complications aid identification novel pharmacologic targets. Here, we whether signaling serve as potential biomarkers Serum cerebrospinal fluid (CSF) from fifteen subjects healthy age-matched controls hydrocephalus no-aneurysm were evaluated levels downstream cytokines. Protein measurements carried out using Simple Plex Single-Molecule Array (Simoa) technology. The area under curve (AUC) was calculated receiver operating characteristics (ROCs) obtain information on biomarker reliability, specificity, sensitivity, cut-off points, likelihood ratio. In addition, Spearman r correlation matrix performed determine between outcome measures. demonstrated elevated caspase-1, apoptosis-associated speck-like caspase recruiting domain (ASC), IL-18 IL-1β serum, CSF when compared controls. Each these found be promising inflammation CSF. ASC, serum. Furthermore, serum useful predict worse functional outcomes Thus, determination utilized reliable used clinically monitor patient outcomes.

Language: Английский

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Risk factors and predictive indicators of rupture in cerebral aneurysms

Frontiers in Physiology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 5, 2024

Cerebral aneurysms are abnormal dilations of blood vessels in the brain that have potential to rupture, leading subarachnoid hemorrhage and other serious complications. Early detection prediction aneurysm rupture crucial for effective management prevention rupture-related morbidities mortalities. This review aims summarize current knowledge on risk factors predictive indicators cerebral aneurysms. Morphological characteristics such as size, shape, location, well hemodynamic including flow patterns wall shear stress, been identified important influencing stability risk. In addition these traditional factors, emerging evidence suggests biological genetic inflammation, extracellular matrix remodeling, polymorphisms, may also play significant roles rupture. Furthermore, advancements computational fluid dynamics machine learning algorithms enabled development novel models assessment. However, challenges remain accurately predicting further research is needed validate predictors integrate them into clinical practice. By elucidating identifying various associated with we can enhance personalized assessment optimize treatment strategies patients

Language: Английский

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ADORA3: A Key Player in the Pathogenesis of Intracranial Aneurysms and a Potential Diagnostic Biomarker

Molecular Diagnosis & Therapy, Journal Year: 2024, Volume and Issue: 28(2), P. 225 - 235

Published: Feb. 11, 2024

Language: Английский

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Advances in Fourier infrared spectroscopy for noninvasive diagnosis of diabetes mellitus: Analysis and prospects for application based on blood, urine and saliva samples

Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 111764 - 111764

Published: Sept. 24, 2024

Language: Английский

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