Neuron-specific Enolase Research Articles

Multi-center study on the application potential of Siaα-2,6Gal in early and differential diagnosis of lung cancer.

This study aimed to investigate the application potential of the abnormal glycan structure Siaα-2,6Gal in the early and differential diagnosis of lung cancer. Clinical data and serum samples from 730 patients and 120 healthy individuals participating in clinical trials on Siaα-2,6Gal were collected at three medical centers between January 2022 and June 2023. The levels of Siaα-2,6Gal, carcinoembryonic antigen (CEA), cytokeratin 19 fragment antigen (CYFRA21-1), squamous cell carcinoma antigen (SCC), neuron-specific enolase (NSE), and pro-gastrin-releasing peptide (ProGRP) in serum were measured. The application potentials of these markers in the early and differential diagnosis, classification, and staging of lung cancer were explored. (1) Serum Siaα-2,6Gal levels in the lung cancer group were 2,606 (1,970-3,458) U/mL, significantly higher than those in the benign lung disease, miscellaneous malignant tumor, miscellaneous benign disease, and healthy individual groups at 1,359 (950-1,528), 1,252 (903-1,532), 1,196 (850-1,490), and 1,210 (1,100-1,287) U/mL (P < 0.0001). (2) Serum Siaα-2,6Gal levels in the early-stage lung cancer (stages 0-II) group were 2,576 (1,929-3,338) U/mL, significantly higher than those in the benign pulmonary nodule group at 1,419 (1,105-1,820) U/mL (P < 0.0001). (3) Receiver operating characteristic curves showed that Siaα-2,6Gal had a high diagnostic efficiency for lung cancer (area under the curve (AUC) = 0.9217), significantly superior to CEA, CYFRA21-1, SCC, NSE, and ProGRP (AUCs of 0.6618, 0.6605, 0.5783, 0.5985, and 0.6381). Siaα-2,6Gal is a promising biomarker for lung cancer diagnosis and may offer superior differential diagnosis of early-stage lung cancer from benign pulmonary nodules compared to traditional tumor markers.

Neutrophil Elastase, Neuron-Specific Enolase, and S100B Protein as Potential Markers of Long-Term Complications Caused by COVID-19 in Patients with Type 2 Diabetes Mellitus (T2DM) and Advanced Stage of Diabetic Nephropathy (NfT2DM)-Observational Studies.

Despite numerous studies conducted by various research teams, predicting long-term outcomes (known as Post-COVID-19 Syndrome, PCS) that may result from Coronavirus Disease 2019 (COVID-19) remains challenging. PCS affects over a million people, primarily those with comorbid conditions. Therefore, it is crucial to undertake research aimed at developing a predictive model for early diagnosis of PCS, which in turn would enable faster preventive actions. The aim of this study was to assess the value of measuring and attempt a quantitative evaluation using Enzyme-Linked Immunosorbent Assay (ELISA) tests of three non-serum proteins, whose presence in the blood during COVID-19 was associated with severe disease progression: neutrophil elastase (NE), calcium-binding protein S100B, and neuron-specific enolase (NSE). The concentrations of these proteins were measured in blood serum samples collected before the COVID-19 pandemic from (1) patients with type 2 diabetes (T2DM); (2) advanced stage diabetic nephropathy (NfT2DM); (3) a healthy group; and in blood serum samples collected two years after recovering from COVID-19 from patients with (4) T2DM and (5) NfT2DM. It was found that elevated levels of NE and NSE were significantly more common (p < 0.05) in patients with NfT2DM after recovering from COVID-19 compared to the other groups, while elevated levels of S100B were significantly more frequently observed in patients with T2DM after recovering from COVID-19 (p < 0.05). Demonstrating differences in the prevalence of NE, NSE, and S100B in individuals who recovered from COVID-19 with T2DM and NfT2DM makes these proteins important components of the developing predictive model for early detection of PCS. To our knowledge, this is the first study showing the significance of NE, NSE, and S100B in PCS in the context of T2DM and NfT2DM.

Neuron-Specific Enolase as a Biological Marker for Welders' Pneumoconiosis.

The aim of the study is to investigate the relationship between serum neuron-specific enolase (NSE) and welders' pneumoconiosis, through chest x-ray and serum NSE. The exposed group included 37 welders. The nonexposed group included 38 administrative workers. Both groups underwent history taking, clinical examination, chest x-ray, serum chromium, and serum neuron-specific enolase. Air sampling was done for total suspended particles, respirable particles, and welding fumes. All the air samples were within the national threshold limit values. Chest x-ray abnormalities were found in eight welders (21.6%), and included reticular opacities, scattered nodules or ground-glass opacities. Serum chromium and NSE were significantly higher among welders. Serum NSE correlated positively with the duration of exposure and serum chromium level among welders. Serum NSE can be used as a biomarker for early detection of welders' pneumoconiosis.

Effect of trans 4-butylcyclohexane carboxylic acid (4-BCCA) upon neurodegeneration, oxidative stress related to epileptogenesis in status epilepticus in rats

Objective4-butylcyclohexane carboxylic acid (4-BCCA), a low-affinity inhibitor of AMPA receptors at the trans-membrane domain have been suggested as potential therapeutic option for epilepsy, but its potential impact on status epilepticus and disease-modification and neurodegeneration following status epilepticus have not been investigated. MethodsThis study established the effect of 4-BCCA along with standard antiseizure medications (ASMs) [valproate (VPA) and perampanel (PER)] in Li-pilocarpine induced status epilepticus rat model. We first established the effective dose of 4-BCCA in status epilepticus followed by an acute and long-term effect study. Assessments of neurobehaviour (by elevated plus maze and passive avoidance), neurodegeneration [by transmission electron microscopy (TEM) and immunohistochemistry in hippocampal slices], total antioxidant capacity (TAC) and neuronal loss [by neuron specific enolase (NSE) in cerebral tissue] were performed. Results4-BCCA at 200mg/kg. i.p. was found to be an effective dose and in comparison, to other ASMs it showed better seizure control in terms of latency and number of stage 3/4 seizures. PER group and 4-BCCA+PER showed better memory retention but without significant difference among the drug-treated groups. In TEM, 4-BCCA+PER and 4-BCCA+VPA group showed less nucleus and cytoplasmic changes. In immunohistochemistry 4-BCCA, PER and combination groups showed better neuronal viability. 4-BCCA+ PER showed higher TAC and lower NSE level. Significance4-BCCA alone and its combination with ASMs especially perampanel in status epilepticus model in rats showed better seizure control and neuroprotection.

Инфузия субанестетических доз кетамина в послеоперационном периоде как средство церебропротекции у детей при хирургической коррекции врожденных пороков сердца: проспективное рандомизированное исследование

INTRODUCTION: The world literature describes the cerebroprotective properties of ketamine when used in minimal doses, which is due to its effect on NMDA receptors and inhibition of damage to the neurovascular unit. However, there is a lack of research on the use of ketamine for cerebroprotection in pediatric populations and cardiac surgery. OBJECTIVES: To establish the safety and effectiveness of ketamine infusion for cerebroprotection in children in the postoperative period during cardiac surgery. MATERIAL AND METHODS: The study included 45 children aged from 1 to 60 months and weighing from 3.5 to 20 kg, who underwent surgical correction of atrial or ventricular septal defect of the heart under artificial circulation. Patients were randomized into a study group or a control group. In the study group, upon completion, patients received a ketamine infusion at a dose of 0.1 mg/kg/hour for 16 h. To establish the effectiveness of cerebroprotection, serum markers of damage to the neurovascular unit were used: protein S100-β, neuron-specific enolase (NSE), glial fibrillary acidic protein (GFAP), occludin, claudin-1. Blood sampling for marker analysis was carried out at three control points: before the start of the operation, immediately after completion of artificial circulation and 16 hours after completion of the operation. RESULTS: Al studied factors in the intra- and postoperative period did not differ significantly between groups. When analyzing markers of damage to a neurovascular unit, their maximum concentration was revealed at the second control point. For the NSE marker, a lower level was found in the group using ketamine — 16.52 [11.61–18.8] and 21.37 [17.78–28.74] ng/ml (p = 0.0019). CONCLUSIONS: The safety of using ketamine infusion in the postoperative period at a dose of 0.1 mg/kg/hour was revealed. Among all markers used, NSE serum concentrations were statistically significantly lower in the ketamine group.

Development and validation of a tumor marker-based model for the prediction of lung cancer: an analysis of a multicenter retrospective study in Shanghai, China.

The incidence and mortality rates of cancer are the highest globally. Developing novel methodologies that precisely, safely, and economically differentiate between benign and malignant lung conditions holds immense clinical importance. This research seeks to construct a predictive model utilizing a combination of diverse biomarkers to effectively discriminate between benign and malignant lung diseases. This retrospective study included patients admitted to the two general hospitals in Shanghai from 2014 to 2015. This study was developed using five tumor markers: carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), cytokeratin fragment 21-1 (CA211), squamous cell carcinoma antigen (SCC), and neuron specific enolase (NSE). The entire sample was divided into two groups according to the hospital: 1033 cases were included in the development cohort and 300 cases in the validation cohort. Logistic regression analysis was used for univariate analysis to explore individual correlations between each selected clinical variable and lung cancer diagnostic outcome. Diagnostic prediction models were constructed and validated based on independent prognostic factors identified using multifactorial analysis. A nomogram was created using these tumor markers (age and sex were additionally included) and validated using the concordance index and calibration curves. Clinical prediction models were evaluated using decision curve analysis. Fully adjusted multivariate analysis showed that the risk of lung cancer was 2.38 times higher in men than in women. CEA positivity was associated with an 13.41-fold increased risk in lung cancer. The area under the curve (AUC) values for the development cohort and validation cohort models were 0.907 and 0.954, respectively. In the established nomogram, the AUC for the receiver operating characteristic curve was 0.907 (95% CI, 0.889-0.925). The validation model confirmed the strong discriminative power of the nomogram (AUC = 0.954). The described calibration curves demonstrated good fit predictions and observation probabilities. In addition, decision curve analysis concluded that the newly established nomogram has important implications for clinical decision making. Combined prediction models based on CEA, CA199, CA211, SCC, and NSE biomarkers could significantly the differentiation between benign and malignant lung diseases, thus facilitating better clinical decision making.

Omega-3 Fatty Acids and Neuroinflammation in Depression: Targeting Damage-Associated Molecular Patterns and Neural Biomarkers.

Major Depressive Disorder (MDD) is a prevalent mental health condition with a complex pathophysiology involving neuroinflammation, neurodegeneration, and disruptions in neuronal and glial cell function. Microglia, the innate immune cells of the central nervous system, release inflammatory cytokines in response to pathological changes associated with MDD. Damage-associated molecular patterns (DAMPs) act as alarms, triggering microglial activation and subsequent inflammatory cytokine release. This review examines the cellular mechanisms underlying MDD pathophysiology, focusing on the lipid-mediated modulation of neuroinflammation. We explore the intricate roles of microglia and astrocytes in propagating inflammatory cascades and discuss how these processes affect neuronal integrity at the cellular level. Central to our analysis are three key molecules: High Mobility Group Box 1 (HMGB1) and S100 Calcium Binding Protein β (S100β) as alarmins, and Neuron-Specific Enolase (NSE) as an indicator of neuronal stress. We present evidence from in vitro and ex vivo studies demonstrating how these molecules reflect and contribute to the neuroinflammatory milieu characteristic of MDD. The review then explores the potential of omega-3 polyunsaturated fatty acids (ω-3 PUFAs) as neuroinflammation modulators, examining their effects on microglial activation, cytokine production, and neuronal resilience in cellular models of depression. We critically analyze experimental data on how ω-3 PUFA supplementation influences the expression and release of HMGB1, S100β, and NSE in neuronal and glial cultures. By integrating findings from lipidomic and cellular neurobiology, this review aims to elucidate the mechanisms by which ω-3 PUFAs may exert their antidepressant effects through modulation of neuroinflammatory markers. These insights contribute to our understanding of lipid-mediated neuroprotection in MDD and may inform the development of targeted, lipid-based therapies for both depression and neurodegenerative disorders.

The impact of intravenous agitated saline contrast echocardiography on subclinical neuronal injury determined by neuron-specific enolase

Abstract Introduction Patent foramen ovale (PFO) is a congenital defect in interatrial septum with 25-30% prevelance. Diagnostic methods include transesophageal echocardiography (TEE), magnetic resonance imaging (MRI), and computed tomography (CT), but transthoracic echocardiography (TTE) is the primary diagnostic method. TTE involves the injection of agitated saline intravenously, and the passage of microbubbles from the right atrium to the left atrium is monitored. The reliability of this method has been questioned in various case series, with a low incidence (0.062%) of generally transient, mild clinical cerebrovascular events reported. Silent cerebral ischemia (SSI) is asymptomatic, radiographically identified acute neuronal damage. SSI is associated with an increased risk of stroke, dementia, and cognitive impairment. Neuron-specific enolase (NSE) with high specificity for neural cells can be used to detect SSI. While symptomatic patients have been evaluated in reported case series, there is no study determining the relationship and reliability of intravenous agitated saline echocardiography (SCE) with SSI. This study aims to determine whether TTE, performed on patients with PFO without neurological history and a healthy control group, can cause SSI by evaluating NSE with SCE. Materials and methods 52 patients undergoing SCE for color flow through interatrial septum or prominent interatrial septal aneurysm and are diagnosed with PFO were included. Additionally, 51 control patients without detected PFO or ASA were also included. Serum samples were taken from the patients before and 12 hours after the SCE test, and NSE levels were measured by the ELISA method. Results The mean baseline NSE level was 12.7 ng/mL with a median of 5.3 ng/mL in the PFO group, and in the control group, the mean was 9.1 ng/mL with a median of 6.4 ng/mL. At 12 hours, the mean NSE levels in the PFO group were 9.8 ng/mL with a median of 6.6 ng/mL, and in the control group, the mean was 12.7 ng/mL with a median of 5.8 ng/mL. The increase in NSE levels after SCE, was not statistically significant when comparing the PFO and control groups (p=0.77). No relationship was found between age, presence of interatrial septal aneurysm, presence of mitral annulus calcification, the number of bubbles passed in the SCE test, and the basal and 12-hour change in NSE levels (p=0.926). NSE level changes were found to be correlated between groups (p&amp;lt;0.001). Conclusion This study is the first to evaluate whether SCE causes subclinical neuronal damage. Our study suggests that when evaluated with NSE, the SCE method is safe and does not cause subclinical neuronal damage in patients without underlying neuronal susceptibility.results

Effect of nelonemdaz for patients with out-of-hospital cardiac arrest: the AWAKE phase II randomised clinical trial

Abstract Background Hypoxic brain injury is a major hurdle that limits the survival of out-of-hospital cardiac arrest (OHCA). Nelonemdaz is a dual-target neuroprotectant, serving as a moderate NR2B-selective N-methyl-D-aspartate (NMDA) receptor antagonist while also exhibiting potent free radical scavenger properties. This dual neuroprotective action of nelonemdaz has the potential to reduce hypoxic brain injury in OHCA. We investigated the efficacy and safety of nelonemdaz for patients with OHCA. Methods AWAKE trial was a double-blind, placebo-controlled, randomised, multicentre phase II trial at 5 sites in South Korea. OHCA patients undergoing targeted temperature management were randomly assigned to high-dose (5250 mg), low-dose (3250 mg), and placebo groups at a 1:1:1 ratio. The primary outcome was the blood level of neuron-specific enolase (NSE) after 4th administration of drug. Secondary outcomes comprised blood biomarkers including neuron specific enolase (NSE) and S100beta, brain magnetic resonance imaging (MRI), and Cerebral Performance Category (CPC) and Modified Rankin Scale (mRS) up to day 90. Safety is assessed by serious adverse event. Findings: A total of 105 patients were enrolled between November 18, 2018 to February 23, 2023. Patients with a median age of 61 years and 82% male were assigned to the high-dose (N=37), low-dose (N=35), and placebo (N=33) groups. Primary outcome was evaluated in 93 patients. There was no difference of neuron specific enolase (NSE, ng/mL), which served as the primary endpoint, between high-dose (median and interquartile range; 23·7, 15·0–69·9) and placebo (17·5, 13·6–113·0) groups and also between low-dose (26·6, 16·2–83·4) versus placebo groups (all p&amp;gt;0·05). Among secondary outcomes, fractional anisotropy of brain MRI was significantly higher in high-dose group compared to placebo group (0·465, 0·449–0·485 versus 0·441, 0·431–0·464; p=0·028), and was not different between low-dose (0·462, 0·439–0·480) and placebo groups (p&amp;gt;0·05). At day 90, the common odds ratio (95% confidence interval) indicating a favourable shift in the modified Rankin Scale was 1·25 (0·48–3·24) and 1·22 (0·47–3·20) in the high-dose and low-dose groups respectively, compared to placebo group (all p&amp;gt;0·05). No serious adverse events were reported. Interpretation: Nelonemdaz did not reduced blood NSE level of OHCA patients. However, patients treated with high-dose nelonemdaz showed better fractional anisotropy that suggests reduced cerebral white matter damage. Patients treated with nelonemdaz also showed a favourable tendency of neurological recovery at day 90 without significant adverse effects. These results justify the initiation of a large-scale phase III trial.Neurological function up to day 90

Characterisation of plasma proteins and circulating microRNAs in out-of-hospital cardiac arrest patients - approaches for predicting outcome

Abstract Rationale: Early prognostication after out-of-hospital cardiac arrest (OHCA) is an unmet clinical need. There is limited data on serial release kinetics of cardiac, brain and systemic biomarkers such as Neuron Specific Enolase (NSE) and S-100B. miRNAs are sensitive biomarker candidates in acute myocardial infarction (MI). Objective The objective was to characterise circulating biomolecules in the early release kinetics after OHCA, compared with a STEMI control group and assessed with clinical outcome. Methods and Results Serial blood samples of patients with OHCA with STEMI (n=20) and STEMI control (n=20) were collected at baseline and at 6, 12, 24 and 48h after admission. Untargeted plasma proteomics were performed using data-independent acquisition–mass spectrometry (DIA–MS). Candidate proteins and miRNAs were quantified. Proteomics returned n=156 proteins with significantly different kinetics between OHCA and STEMI. Six clusters, depicting distinct biological pathways, with characteristic differences between OHCA and STEMI were identified. The most distinct and significant differences between OHCA and STEMI patients were seen for acute phase reactants LBP, AACT, CRP and the lipid metabolite A2GL as well as endothelial and platelet miR-126 and cardiomyocyte-apoptosis/ischemia-reperfusion related miR-320a. Cardiogenic shock was best characterised by differential kinetics of coagulation and complement related proteins FA9, HRG, FHR1 and inflammation related miR-146. The primary endpoint was poor neurological recovery at 30-days. Individuals with good outcome showed distinct differences in adaptive immune response, complement and coagulation cascades and hemostasis. Circulating plasma levels of hypoxia-associated miR-101, miR-210 and S-100B protein were significantly elevated at baseline in OHCA patients. These molecules further showed higher baseline values in patients with poor outcome. For current prognosis marker NSE, this difference only develops after 48h. Cardiac/muscle miRNAs followed an early release-pattern similar to high-sensitivity cardiac troponin-T (hs-cTnT). Machine learning models were used to calculate the AUC for the prediction of poor neurological outcome at baseline. This was highest for hypoxia-induced miR-210 (AUC: 0.854), which performed significantly better than the protein biomarkers NSE (AUC: 0.646) and S-100B (AUC:0.656). Conclusions Untargeted mass spectrometry reveals distinct biological pathways and candidate biomolecules affected in patients suffering from OHCA compared with STEMI controls, in patients developing cardiogenic shock and in those with adverse versus good neurological outcome. Platelet-, inflammation and hypoxia associated miRNAs are associated with OHCA, cardiogenic shock and prognostication of adverse neurological outcome. Pronounced differences in early release kinetics of RNA and protein biomarkers may improve identification of OHCA patients at risk of poor outcome.

NSE and S100β as serum alarmins in predicting neurological outcomes after cardiac arrest

Cardiac arrest (CA) is a serious health concern that often results in mortality or severe neurological dysfunction in the case of survival. Our aim was to explore the neurological prognostic factors in patients with CA. This retrospective observational study included adult patients with CA. We investigated serum neuron-specific enolase (NSE), S100 calcium-binding protein β (S100β), and indices and parameters at 1, 3, 5, 7 and intensive care unit (ICU) discharge days after CA. The primary study endpoint was the Cerebral Performance Category (CPC) scale score at ICU discharge, which was dichotomized as good neurological outcome (CPC 1–2: full recovery or moderate disability) and poor neurological outcome (CPC 3–5: severe disability, vegetative state, or death). Of the 191 adult patients with CA, 42 (22%) had good neurological outcomes, and 149 (78%) had poor neurological outcomes. NSE at 1,3,5,7 and ICU discharge days showed excellent predictive accuracy for neurological outcomes (area under the curve [AUC]: 0.666, 0.716, 0.870, 0.739, and 0.901, respectively). However, S100β exhibited general predictive power (AUC: 0.666, 0.573, 0.607, 0.594, 0.727). Finally, the early warning model, which combined day 1 NSE, day 1 S100β, cardiac arrest time, SOFA scores, APACHE II scores, and age, was used to screen CA patients with poor neurological prognosis at early stages and had an AUC of 0.792. Serum concentrations of NSE and S100β were significantly elevated in CA patients and could be prognostic biomarkers to predict neurological outcomes. Day 1 NSE and S100β combined with multiple indicators could be a decent early warning model for poor neurological prognosis in patients with CA.

Ghrelin for Neuroprotection in Post-Cardiac Arrest Coma: a one-year follow-up of cognitive and psychosocial outcomes.

Effective treatments to improve brain recovery after cardiac arrest are needed. Ghrelin showed efficacy in experimental models and was associated with lower neuron specific enolase levels in the clinical Ghrelin in Coma (GRECO) trial. Here we present cognitive and psychosocial outcomes at one-year follow-up. GRECO was a phase 2 multicenter, double-blind, randomized, placebo-controlled trial in comatose patients after cardiac arrest. The intervention was intravenous acyl-ghrelin 600 μg twice daily or placebo for one week, starting within 12 hours after the arrest. Patients were assessed after one year using cognitive tests and questionnaires measuring participation, health-related quality of life, mood, and caregiver strain. Composite z-scores of the cognitive tests were computed by comparing the scores to those of a norm-population and averaging the tests for memory, attention and executive functioning separately. Groups were compared based on composite z-scores and cutoff scores for psychosocial outcomes. Of the 160 participants originally included, 66 of the 85 participants who survived to one year after OHCA completed the psychosocial and cognitive follow-up. The intervention group scored numerically higher across all cognitive domains compared to the control group, but the differences were not statistically significant (memory median = -.850 vs. -1.385, U = 424.5, p = .587; attention median = -.733 vs. -.717, U = 420.5, p = .548; executive functioning median = -.311 vs. -.369, U = 408.5, p = .323). There were significantly fewer signs of depression in the intervention group, U = 322.5, p = .014. This predefined secondary analysis found that ghrelin treatment was associated with non-significantly but consistently better cognitive outcomes and significantly fewer signs of depression. This is in line with the primary outcomes. Clinicaltrialsregister.eu: EUCTR2018-000005-23-NL.

The Effect of Nitric Oxide Supplied to the Sweep Gas of the Oxygenator on the Formation of Gaseous Microemboli during Cardiopulmonary Bypass (Experimental Study).

The effect of nitric oxide (NO) supplied to the sweep gas of the oxygenator on the formation of gaseous microemboli during cardiopulmonary bypass has been studied in animal experiments (female pigs). It was shown that NO added to the sweep gas of the oxygenator during cardiopulmonary bypass significantly decreased the number and volume of microemboli (the number of microemboli over 1 h of cardiopulmonary bypass was 1197 (568; 2436) vs 55,478 (15,217; 331,480) in the control; p=0.016). The decrease in the number and volume of all bubbles was accompanied by a significant decrease in the concentration of neuron-specific enolase, a marker of brain injury, 6 h after the end of cardiopulmonary bypass to 7.7 (7.5; 8.7) ng/ml vs 11.2 (9.2; 18.3) ng/ml in the group without NO (p=0.047).

Circulating Blood-Brain Barrier Proteins for Differentiating Ischaemic Stroke Patients from Stroke Mimics

Background: Stroke is one of the leading causes of death and disability worldwide. The diagnosis of stroke remains largely clinical, yet widely used stroke scoring systems and brain imaging do not satisfactorily allow the distinction of ischaemic stroke (IS) patients from stroke mimics (SMs). Blood biomarkers are promising tools that could facilitate clinical triage. Methods: This study recruited 66 patients with IS and 24 SMs. The levels of Glial fibrillary acidic protein (GFAP), Neuron-specific enolase (NSE), Neurofilament light chain (NfL) and blood-brain barrier (BBB) proteins [Occludin (OCLN), Zonula occludens 1 (ZO-1), Claudin-5] in blood serum were measured by enzyme-linked immunosorbent assay technique. Biomarker levels in IS patients and SMs were compared using the Mann–Whitney U test. Multivariable logistic regression analysis was used to evaluate the diagnostic performance of biomarkers in combination with the National Institutes of Health Stroke Scale (NIHSS) score. Results: More significant differences in circulating GFAP, NfL, OCLN, ZO-1, and Claudin-5 but not NSE were found in IS patients compared to SMs. A combination of circulating ZO-1, Claudin-5, and OCLN with NIHSS score gives the highest diagnostic accuracy, sensitivity, and specificity. Conclusions: A prediction model with circulating BBB proteins in combination with NIHSS score differentiates between IS patients and SMs.

PTZ KINDLING MODEL: EVALUATION OF EEG FACTOR AND BIOCHEMISTRY PARAMETERS UNDER THE INFLUENCE OF RAMELTEON

Many selective synthetic melatonin receptor agonists have anticonvulsant/anti-epileptogenic properties. These agonists bind to melatonin receptor 1 (MT1) and receptor 2 (MT2), causing their activation. Therefore, we evaluated the anticonvulsant effect of Ramelteon (RMLT) as a melatonin agonist in the PTZ (Pentylenetetrazol)-kindling model. In the study, 36 male Wistar Albino rats were assessed in 6 groups (Sham, PTZ, dimethylsulphoxide (DMSO), Valproic acid (VPA) (150 mg/kg) + PTZ, RMLT (30 mg/kg)+PTZ, VPA+RMLT+PTZ). Cortical electroencephalography (EEG) data were recorded for all groups. Seizures were scored according to the Racine scale. Seizure scores and onset times of the first myoclonic movements were compared in EEG traces. Total antioxidant status (TAS), total oxidant status (TOS), catalase, myeloperoxidase (MPO), and Thiol levels were measured in serum samples. Also, Calcineurin (CaN), Neuropeptide-Y (NPY), Neuron Specific Enolase (NSE), and S100B levels were measured in brain tissue samples. There was a significant difference between the PTZ and PTZ+Valproic acid+RMLT groups for the onset of the first myoclonic movements and the rate of spikes in the EEG traces in Racine's convulsion stages (P 0.05). RMLT has anticonvulsant properties. Additionally, the receptor preference of RMLT can be investigated.

Enhancing Blood-Brain Barrier Integrity in Patients With Acute Ischemic Stroke Via Normobaric Hyperoxia.

Recent advancements in animal studies have demonstrated the potential of normobaric hyperoxia (NBO) as a promising intervention for preserving the integrity of the blood-brain barrier (BBB). However, there is still limited understanding of the effects of NBO on BBB function in patients with clinical stroke. Therefore, the objective of this study was to investigate the efficacy of NBO therapy in attenuating BBB damage and reducing brain injury in individuals undergoing endovascular treatment (EVT) for acute stroke. This study enrolled patients from the OPENS-1 (Normobaric Hyperoxia Combined With Reperfusion for Acute Ischemic Stroke) study, with 43 patients receiving NBO combined with EVT and 43 patients receiving EVT alone. The main outcome measures included serum levels of occludin, MMP-9 (matrix metalloproteinase-9), NSE (neuron-specific enolase), and S100b at 24 hours and 7 days, as well as the intracranial extravasation rate at 24 hours. Serum markers were assessed using ELISA, and intracranial contrast extravasation was visualized using dual-energy computed tomography scan. We analyzed a total of 86 patients and found that the 24-hour serum markers levels of BBB damage and brain injury were significantly lower in the group receiving NBO therapy combined with EVT compared with the group receiving EVT alone. Similarly, at 7 days, the levels of occludin, MMP-9, and NSE were lower in the NBO+EVT group. We also found that the 24-hour serum levels of occludin and MMP-9 were correlated with intracranial contrast extravasation. Additionally, the incidence of intracranial contrast extravasation was lower in the NBO+EVT group compared with the EVT group (35.9% versus 60.5%, P=0.031). This study offers valuable insights into the positive impact of NBO on maintaining BBB integrity and reducing brain injury in patients with acute stroke undergoing EVT.

Role of EEG spindle-like activity in post cardiac arrest prognostication

AimEEG is considered in guidelines for poor outcome prognostication in comatose patients after cardiac arrest (CA), but elements related to favorable prognosis have also been increasingly described. While spindle EEG activity is known to herald good outcome in critically ill patients, its occurrence in CA has received limited attention, essentially in pediatric cohorts. We postulated that this feature is related to favorable outcome in adults. MethodsRetrospective assessment of comatose adults following CA in a prospective institutional registry (09.2021–09.2023). Spindle-like activity, noted prospectively on early (12–36 h) and late (36–72 h) routine EEGs, was tested using 2x2 tables and comparisons of proportions for the likelihood of favorable outcome (CPC 1–2 at 3 months), including combinations with existing benign EEG descriptions (Westhall: no malignant or highly malignant features; modified: also allowing background discontinuity, low voltage, inverse development). Spindles were correlated with peak serum neuron-specific enolase (NSE) at 24–48 h as a marker of neuronal damage. ResultsAmong 276 patients, spindle-like activity was observed in 66 (23.9 %) of them, more often in early EEGs. While, in isolation, this feature detected within 72 h showed high specificity for CPC 1–2 (82.2 %) and low sensitivity (36.8 %), its addition significantly enhanced sensitivity of modified benign EEG (from 90.5 % to 95.8 %; p < 0.001; specificity at 54.4 %). Patients with spindle-like activity had significantly lower NSE (median 25.7µg/l, interquartile range 16.1–24.4, vs. 39.4 µg/l, interquartile range 21.1–95.1; p < 0.001). ConclusionSpindle-like EEG activity may orient on prognostication of favorable outcome in adult post CA patients, and correlates with lower neuronal damage.

Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer

PurposeTo explore the application value of a multimodal deep learning radiomics (MDLR) model in predicting the risk status of postoperative progression in solid stage I non-small cell lung cancer (NSCLC).Materials and MethodsA total of 459 patients with histologically confirmed solid stage I NSCLC who underwent surgical resection in our institution from January 2014 to September 2019 were reviewed retrospectively. At another medical center, 104 patients were reviewed as an external validation cohort according to the same criteria. A univariate analysis was conducted on the clinicopathological characteristics and subjective CT findings of the progression and non-progression groups. The clinicopathological characteristics and subjective CT findings that exhibited significant differences were used as input variables for the extreme learning machine (ELM) classifier to construct the clinical model. We used the transfer learning strategy to train the ResNet18 model, used the model to extract deep learning features from all CT images, and then used the ELM classifier to classify the deep learning features to obtain the deep learning signature (DLS). A MDLR model incorporating clinicopathological characteristics, subjective CT findings and DLS was constructed. The diagnostic efficiencies of the clinical model, DLS model and MDLR model were evaluated by the area under the curve (AUC).ResultsUnivariate analysis indicated that size (p = 0.004), neuron-specific enolase (NSE) (p = 0.03), carbohydrate antigen 19 − 9 (CA199) (p = 0.003), and pathological stage (p = 0.027) were significantly associated with the progression of solid stage I NSCLC after surgery. Therefore, these clinical characteristics were incorporated into the clinical model to predict the risk of progression in postoperative solid-stage NSCLC patients. A total of 294 deep learning features with nonzero coefficients were selected. The DLS in the progressive group was (0.721 ± 0.371), which was higher than that in the nonprogressive group (0.113 ± 0.350) (p < 0.001). The combination of size、NSE、CA199、pathological stage and DLS demonstrated the superior performance in differentiating postoperative progression status. The AUC of the MDLR model was 0.885 (95% confidence interval [CI]: 0.842–0.927), higher than that of the clinical model (0.675 (95% CI: 0.599–0.752)) and DLS model (0.882 (95% CI: 0.835–0.929)). The DeLong test and decision in curve analysis revealed that the MDLR model was the most predictive and clinically useful model.ConclusionMDLR model is effective in predicting the risk of postoperative progression of solid stage I NSCLC, and it is helpful for the treatment and follow-up of solid stage I NSCLC patients.

Evaluation of albumin and lactate dehydrogenase in comparison with cytokeratin 19 fragments and neuron‐specific enolase as diagnostic biomarkers for non‐small cell lung cancer

AbstractBackgroundThe diagnosis of non‐small cell lung cancer (NSCLC) is a clinical issue that requires attention, and more practical and effective biomarkers need to be selected to assist in diagnosis. This study aimed to examine the diagnostic value of serum albumin (ALB), lactate dehydrogenase (LDH), cytokeratin 19 fragments (CYFRA21‐1), and neuron‐specific enolase (NSE) for NSCLC.MethodsThe clinical data of 1048 NSCLC patients and 1125 healthy subjects were extracted from electronic medical records. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic significance of ALB, LDH, CYFRA21‐1, and NSE for NSCLC. The Cancer Genome Atlas (TCGA) data, which included mRNA profiles for ALB and LDH expression, were acquired from TCGA Program. Finally, interactive survival scatter plots and survival analyses for NSCLC patients were evaluated using the Human Protein Atlas and Kaplan–Meier Plotter.ResultsSignificant differences were noted in the levels of ALB and LDH between NSCLC patients and healthy controls. The areas under the ROC curves (AUCs) for ALB and LDH were 0.754 (95% CI: 0.734–0.774) and 0.681 (95% CI: 0.658–0.704), respectively. Moreover, the combination of ALB and LDH raised the AUC to 0.804 (95% CI: 0.785–0.823), and the incorporation of CYFRA21‐1 and NSE further increased the AUC to 0.903 (95% CI: 0.890–0.916). Notably, ALB and LDH might be related to the overall survival of NSCLC patients.ConclusionThis study revealed that ALB and LDH in NSCLC patient serum could improve the diagnostic accuracy of conventional biomarkers for NSCLC.

On the utility of cerebrospinal fluid biomarkers in canine neurological disorders

The cerebral biomarkers, neurofilament light chain (NfL), amyloid-β, tau, and neuron specific enolase (NSE) reflect a wide spectrum of neurological damage in the brain and spinal cord. With this study, we aimed to assess whether these biomarkers hold any potential diagnostic value for the three most common canine neurological diseases. Canines suffering from meningoencephalitis of unknown origin (MUO), brain tumors, and selected non-infectious myelopathies were included. For each diagnosis, we analyzed these biomarkers in the cerebrospinal fluid collected via cranial puncture from the cisterna magna. Elevated levels of CSF tau, NfL, and NSE were observed in MUO, with all three biomarkers being intercorrelated. Tau and NSE were increased while amyloid-β was decreased in dogs suffering from tumors. In contrast, no biomarker changes were observed in dogs with myelopathies. Covariates such as age, sex, or castration had minimal impact. CSF biomarkers may reflect molecular changes related to MUO and tumors, but not to non-infectious myelopathies. The combination of NfL, tau, and NSE may represent useful biomarkers for MUO as they reflect the same pathology and are not influenced by age.