Ischemia preconditioning induces an adaptive response that defines a circulating metabolomic signature in ischemic stroke patients.

Transient ischemic attacks (TIAs) before an acute ischemic stroke (AIS) could induce ischemic tolerance (IT) phenomena. with an endogenous neuroprotective role (Ischemic preconditioning. IPC). A consecutive prospective cohort of patients with AIS were recruited from 8 different hospitals. Participants were classified by those with non-previous recent TIA vs. previous TIA (within seven days. TIA ≤7d). A total of 541 AIS patients were recruited. 40 (7.4%). of them had previous TIA ≤7d. In line with IPC. patients with TIA ≤7d showed: 1) a significantly less severe stroke at admission by NIHSS score. 2) a better outcome at 7-90 days follow-up and reduced infarct volumes. 3) a specific upregulated metabolomics/lipidomic profile composed of diverse lipid categories. Effectively. IPC activates an additional adaptive response on increasing circulation levels of structural and bioactive lipids to facilitate functional recovery after AIS which may support biochemical machinery for neuronal survival. Furthermore. previous TIA before AIS seems to facilitate the production of anti-inflammatory mediators that contribute to a better immune response. Thus. the IT phenomena contributes to a better adaptation of further ischemia. Our study provides first-time evidence of a metabolomics/lipidomic signature related to the development of stroke tolerance in AIS patients induced by recent TIA.

Prevalence and Predictors of Cerebral Microangiopathy Determined by Pulsatility Index in an Asymptomatic Population From the ILERVAS Project.

Background: Little is known about the prevalence of cerebral microangiopathy (CM), which is related to cognitive impairment, in an asymptomatic population. Pulsatility index (PI) is an easily measurable parameter of cerebral vascular resistance in transcranial duplex of the middle cerebral artery (MCA) study. We aimed to determine the prevalence of CM measured by PI of MCA in low to moderate vascular risk subjects. Methods: We included 3,721 subjects between 45 and 70 years without previous history of vascular disease or diabetes mellitus and with at least one other vascular risk factor from the cross-sectional study ILERVAS (Lleida, Spain). Patients underwent transcranial duplex to determine MCA-PI. Possible CM was defined by MCA-PI >1.1. Carotid and femoral arteries ultrasound registration was done to determine the presence, the number, and the area of atheromatous plaques. Body mass index (BMI), pulse pressure (PP) and laboratory data were also recorded. Results: 439 (11.8%) subjects were excluded due to the low quality of transcranial duplex images. Median age was 57 [IQR 52, 62] years. Possible CM was found in 424 (12.9%) subjects. CM patients had higher prevalence of plaques than non-CM (77.4 vs. 66.4%, p < 0.001). PI showed a positive linear correlation with the number of territories with plaques (r = 0.130, p < 0.001), and the total plaque area (r = 0.082, p < 0.001). The predictors of possible CM were the age, male gender, and PP. Conclusions: In low-to-moderate vascular risk asymptomatic population, the proportion of abnormal brain microvascular bed determined by MCA-PI is not negligible. The planned 10-year follow-up will describe the clinical relevance of these findings.

Basal IL-6 and S100b levels are associated with infarct volume.

OBJECTIVES: The study of biomarkers related to the infarct volume of acute ischaemic stroke (AIS) is a valuable clinical strategy. We conducted a prospective study to evaluate the relationship between a wide panel of biomarkers involved in different biochemical pathways and lesion volume. MATERIALS & METHODS: We studied 332 patients with AIS. Infarct volume was calculated from diffusion weighted imaging (DWI). Blood samples were drawn within 24 h of symptom onset to test a panel of biomarkers that included high-sensitivity C-reactive protein (hs-CRP), IL-6, neuron-specific enolase (NSE), N-terminal pro-B-type natriuretic peptide (NT-ProBNP), S100b, troponin and IL-10. RESULTS: The median lesion volume was 2.5 cc (IQR: 0.6-15.3). Patients with previous atrial fibrillation, cardioembolic aetiology and total anterior circulation infarct TACI classification had higher lesion volumes than those without them. Patients with previous recent TIA had smaller ischaemic lesions than those without it. Age and NIHSS were significantly correlated with lesion volume. In a linear regression analysis adjusted by aetiology, S100b and IL-6 emerged as the only biomarkers independently associated with infarct volume. In contrast, previous recent TIA and small-vessel disease were inversely related to infarct volume. CONCLUSIONS: The correlation between the two blood marker levels and ischaemic lesion volume would support the use of these biomarkers as a surrogate endpoint in AIS, especially in centres without DWI 24/7 but these could not substitute basic neuroimaging. Our findings should be further explored in larger, preferably multicentre studies.

A Less Frequent Etiology of Limb Shaking Syndrome: A Severe Middle Cerebral Artery Stenosis.

BACKGROUND: Limb Shaking Syndrome (LSS) is usually associated with internal carotid occlusion. There are few reported-cases in context of middle cerebral artery stenosis. METHODS: We presented LSS in a patient with middle cerebral artery stenosis disease. RESULTS: The patient was a 62-year-old man, smoker, with high blood pressure who suffered left hemifacial and limbs myoclonus. He was initially diagnosed with focal seizures and he started antiepileptic treatment. However, he repeated the episodes. The electroencephalogram showed no abnormalities, and a vascular study with ultrasounds and angio-MRI evidenced severe middle cerebral stenosis. Finally, a diagnosis of Limb Shaking Syndrome was established and he started antiplatelet and high dose lipid-lowering treatment. CONCLUSION: Not all abnormal movements are due to epileptic seizures. When we evaluate a patient with vascular risk factors it is important to perform a complete vascular study to discard not only critical carotid stenosis but also intracranial disease.

Inflammatory Response of Ischemic Tolerance in Circulating Plasma: Preconditioning-Induced by Transient Ischemic Attack (TIA) Phenomena in Acute Ischemia Patients (AIS).

Introduction: Ischemic tolerance (IT) refers to a state where cells are resistant to the damaging effects caused by periods of ischemia. In a clinical scenario, the IT phenomenon would be activated by a recent transient ischemic attack (TIA) before an ischemic stroke (IS). The characterization of inflammatory protein expression patterns will contribute to improved understanding of IT. Methods: A total of 477 IS patients from nine hospitals, recruited between January 2011 and January 2016, were included in the current study and divided in three groups: 438 (91.9%) patients without previous TIA (group 1), 22 (4.6%) patients who suffered TIA 24 h before IS (group 2), and 17 (3.5%) patients who suffered TIA between 24 h and 7 days prior to IS (group 3). An inflammatory biomarker panel (IL-6, NT-proBNP, hsCRP, hs-Troponin, NSE, and S-100b) on plasma and a cytokine antibody array was performed to achieve the preconditioning signature potentially induced by TIA phenomena. Primary outcome was modified rankin scale (mRs) score at 90 days. Results: Recent previous TIA was associated with better clinical outcome at 90 days (median mRS of group 1: 2.0 [1.0-4.0]; group 2: 2.0 [0.0-3.0]; group 3: 1.0 [0-2.5]; p = 0.086) and smaller brain lesion (group 1: 3.7 [0.7-18.3]; group 2: 0.8 [0.3-8.9]; group 3: 0.6 [0.1-5.5] mL; p = 0.006). All inflammation biomarkers were down regulated in the groups of recent TIA prior to IS compared to those who did not suffer a TIA events. Moreover, a cytokine antibody array revealed 30 differentially expressed proteins between the three groups. Among them, HRG1-alpha (Fold change 74.4 between group 1 and 2; 74.2 between group 1 and 3) and MAC-1 (Fold change 0.05 between group 1 and 2; 0.06 between group 1 and 3) expression levels would better stratify patients with TIA 7 days before IS. These two proteins showed an earlier inflammation profile that was not detectable by the biomarker panel. Conclusion: Inflammatory pathways were activated by transient ischemic attack, however the period of time between this event and a further ischemic stroke could be determined by a protein signature that would contribute to define the role of ischemic tolerance induced by TIA.

Risk-benefit assessment of treatment of epileptic women of childbearing age with valproic acid.

AIM: Valproic acid (VPA) is a widely used anti-epileptic drug (AED) of demonstrated efficacy. However, its teratogenic effects have resulted in many regulatory agencies recommending that it should not be administered to women of childbearing age unless they are taking contraceptives. The aim of this study was to determine the willingness of candidate patients to change their treatment and to monitor the evolution of their attitude. METHODS: We identified patients aged between 15 and 45 years old who had been diagnosed with epilepsy and were being treated with VPA. A shared decision-making visit was arranged, during which variables related to their epilepsy were recorded. The patients were informed about the teratogenic effects of VPA and the risks/benefits of a change in treatment. The patient, or legal guardian, then freely chose the course of treatment that they wished to follow. On a follow-up visit, six months later, seizure control and tolerance to the chosen treatment were recorded. The variables related to each patient's willingness to their change treatment were analysed. RESULTS: A total of 60 patients, with a median age of 32.7 years, were included in the study. Of these, 25 (41.7%) suffered some form of intellectual disability. Only one (1.7%) had poor seizure control. After the initial visit, 41 patients (68%) opted to continue with the VPA treatment, six opted to stop receiving VPA, and 13 decided to switch to another AED. The median age of the patients who opted to change treatment was significantly lower than that of those who opted to continue with the VPA treatment (29.1 vs. 34.4, p = 0.024). The absence of intellectual disability (p = 0.047) and a length of treatment of less than five years (0.016) were both significantly associated with the decision to change treatment. Of the 19 patients who changed treatment, nine (47%) returned to the initial treatment with VPA. CONCLUSIONS: Despite being informed of the teratogenic risk associated with VPA, a significant number of patients and legal guardians opted to continue with this treatment; the reasons given for this were the low possibility of pregnancy and the risk of breakthrough seizures. In almost half the cases studied, the pharmacological alternatives to VPA were poorly tolerated and did not provide a good level of seizure control.

Metabolomics Predicts Neuroimaging Characteristics of Transient Ischemic Attack Patients.

BACKGROUND: Neuroimaging is essential for the diagnosis and prognosis of transient ischemic attack (TIA). The discovery of a plasmatic biomarker related to neuroimaging findings is of enormous interest because, despite its relevance, magnetic resonance diffusion weighted imaging (DWI) is not always available in all hospitals that attend to TIA patients. METHODS: Metabolomic analyses were performed by liquid chromatography coupled to mass spectrometry in order to establish the metabolomic patterns of positive DWI, DWI patterns and acute ischemic lesion volumes. We used these methods with an initial TIA cohort of 129 patients and validated them with a 2nd independent cohort of 152 patients. FINDINGS: Positive DWI was observed in 115 (40.9%) subjects and scattered pearls in one arterial territory was the most frequent lesion pattern (35.7%). The median acute ischemic lesion volume was 0.33 (0.15-1.90)cm3. We detected a specific metabolomic profile common to both cohorts for positive DWI (11 molecules including creatinine, threoninyl-threonine, N-acetyl-glucosamine, lyso phosphatidic acid and cholesterol-related molecules) and ischemic lesion volume (10 molecules including lysophosphatidylcholine, hypoxanthine/threonate, and leucines). Moreover lysophospholipids and creatinine clearly differed the subcortical DWI pattern from other patterns. INTERPRETATION: There are specific metabolomic profiles associated with representative neuroimaging features in TIA patients. Our findings could allow the development of serum biomarkers related to acute ischemic lesions and specific acute ischemic patterns.

Metabolomics predicts stroke recurrence after transient ischemic attack.

OBJECTIVE: To discover, by using metabolomics, novel candidate biomarkers for stroke recurrence (SR) with a higher prediction power than present ones. METHODS: Metabolomic analysis was performed by liquid chromatography coupled to mass spectrometry in plasma samples from an initial cohort of 131 TIA patients recruited <24 hours after the onset of symptoms. Pattern analysis and metabolomic profiling, performed by multivariate statistics, disclosed specific SR and large-artery atherosclerosis (LAA) biomarkers. The use of these methods in an independent cohort (162 subjects) confirmed the results obtained in the first cohort. RESULTS: Metabolomics analyses could predict SR using pattern recognition methods. Low concentrations of a specific lysophosphatidylcholine (LysoPC[16:0]) were significantly associated with SR. Moreover, LysoPC(20:4) also arose as a potential SR biomarker, increasing the prediction power of age, blood pressure, clinical features, duration of symptoms, and diabetes scale (ABCD2) and LAA. Individuals who present early (<3 months) recurrence have a specific metabolomic pattern, differing from non-SR and late SR subjects. Finally, a potential LAA biomarker, LysoPC(22:6), was also described. CONCLUSIONS: The use of metabolomics in SR biomarker research improves the predictive power of conventional predictors such as ABCD2 and LAA. Moreover, pattern recognition methods allow us to discriminate not only SR patients but also early and late SR cases.

La metabolómica en el ictus isquémico, nuevos biomarcadores diagnósticos y pronósticos / Metabolomics in ischaemic stroke, new diagnostic and prognostic biomarkers

El estudio de biomarcadores relacionados con el ictus isquémico está adquiriendo una mayor importancia en vistas de conocer mejor los cambios fisiopatológicos de la enfermedad cerebrovascular y facilitar un diagnóstico precoz. Dentro de este campo, la metabolómica ofrece un nuevo abordaje. Se define como el estudio de los metabolitos moleculares de pequeño tamaño derivados del metabolismo celular. Su interés radica en que, a partir de una muestra biológica, ofrece una instantánea de los cambios celulares que están aconteciendo. Actualmente, la aplicación de la metabolómica requiere una metodología compleja que incluye la aplicación de técnicas de separación de laboratorio, análisis estadísticos multivariantes y el empleo de herramientas bioinformáticas. Son múltiples los estudios en el ámbito de la enfermedad cardiovascular que se han centrado en aplicar este abordaje. En los últimos años ha ido en aumento el número de publicaciones referentes a los cambios metabólicos relacionados con el ictus isquémico, tanto en modelos animales como en pacientes. La metabolómica permite la obtención de perfiles de metabolitos que identifican a los pacientes que han sufrido un ictus isquémico. Además, dado que se han llevado a cabo estudios que relacionan metabolitos concretos con las etiologías más frecuentes del ictus isquémico, la metabolómica puede llegar a adquirir un papel significativo en el estudio del ictus criptogénico. El conocimiento más minucioso de los cambios en las vías metabólicas implicadas en la enfermedad cerebrovascular podría sentar las bases para el desarrollo de nuevas estrategias de neuroprotección (AU)

The study of biomarkers related with ischaemic stroke is becoming increasingly more important as a way to further our knowledge of the pathophysiological changes that occur in cerebrovascular disease and to make it easier to reach an early diagnosis. Within this field, metabolomics offers a novel approach. The field is defined as the study of the small-molecule metabolites derived from cell metabolism. Its interest lies in the fact that, using a biological sample, it offers a snapshot of the cellular changes that are taking place. Today, the application of metabolomics requires a complex methodology that includes the application of laboratory separation techniques, multivariant statistical analyses and the use of bioinformatic tools. A number of studies conducted within the field of cardiovascular disease have focused on the application of this approach. In recent years there has been a steady growth in the number of publications referring to the metabolic changes related with ischaemic stroke, both in animal models and in patients. Metabolomics makes it possible to obtain the profiles of metabolites that identify patients who have suffered an ischaemic stroke. Furthermore, since studies have been carried out that relate certain metabolites with the most common causations of ischaemic stroke, metabolomics may eventually play a significant role in the study of cryptogenic stroke. The most exhaustive knowledge of the changes in the metabolic pathways involved in cerebrovascular disease could lay the foundations for the development of new neuroprotector strategies (AU)

[Metabolomics in ischaemic stroke, new diagnostic and prognostic biomarkers]. / La metabolomica en el ictus isquemico, nuevos biomarcadores diagnosticos y pronosticos.

The study of biomarkers related with ischaemic stroke is becoming increasingly more important as a way to further our knowledge of the pathophysiological changes that occur in cerebrovascular disease and to make it easier to reach an early diagnosis. Within this field, metabolomics offers a novel approach. The field is defined as the study of the small-molecule metabolites derived from cell metabolism. Its interest lies in the fact that, using a biological sample, it offers a snapshot of the cellular changes that are taking place. Today, the application of metabolomics requires a complex methodology that includes the application of laboratory separation techniques, multivariant statistical analyses and the use of bioinformatic tools. A number of studies conducted within the field of cardiovascular disease have focused on the application of this approach. In recent years there has been a steady growth in the number of publications referring to the metabolic changes related with ischaemic stroke, both in animal models and in patients. Metabolomics makes it possible to obtain the profiles of metabolites that identify patients who have suffered an ischaemic stroke. Furthermore, since studies have been carried out that relate certain metabolites with the most common causations of ischaemic stroke, metabolomics may eventually play a significant role in the study of cryptogenic stroke. The most exhaustive knowledge of the changes in the metabolic pathways involved in cerebrovascular disease could lay the foundations for the development of new neuroprotector strategies.

TITLE: La metabolomica en el ictus isquemico, nuevos biomarcadores diagnosticos y pronosticos.El estudio de biomarcadores relacionados con el ictus isquemico esta adquiriendo una mayor importancia en vistas de conocer mejor los cambios fisiopatologicos de la enfermedad cerebrovascular y facilitar un diagnostico precoz. Dentro de este campo, la metabolomica ofrece un nuevo abordaje. Se define como el estudio de los metabolitos moleculares de pequeño tamaño derivados del metabolismo celular. Su interes radica en que, a partir de una muestra biologica, ofrece una instantanea de los cambios celulares que estan aconteciendo. Actualmente, la aplicacion de la metabolomica requiere una metodologia compleja que incluye la aplicacion de tecnicas de separacion de laboratorio, analisis estadisticos multivariantes y el empleo de herramientas bioinformaticas. Son multiples los estudios en el ambito de la enfermedad cardiovascular que se han centrado en aplicar este abordaje. En los ultimos años ha ido en aumento el numero de publicaciones referentes a los cambios metabolicos relacionados con el ictus isquemico, tanto en modelos animales como en pacientes. La metabolomica permite la obtencion de perfiles de metabolitos que identifican a los pacientes que han sufrido un ictus isquemico. Ademas, dado que se han llevado a cabo estudios que relacionan metabolitos concretos con las etiologias mas frecuentes del ictus isquemico, la metabolomica puede llegar a adquirir un papel significativo en el estudio del ictus criptogenico. El conocimiento mas minucioso de los cambios en las vias metabolicas implicadas en la enfermedad cerebrovascular podria sentar las bases para el desarrollo de nuevas estrategias de neuroproteccion.

Evolución natural de una disección carotídea bilateral espontánea con cuatro pseudoaneurismas asociados / Natural history of spontaneous bilateral carotid dissection with four associated pseudoaneurysms

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