Biomarkers predictive value for early diagnosis of stroke- associated pneumonia

Stroke-associated pneumonia; SAP; Diagnostic accuracy; BiomarkersNeumonía asociada al accidente cerebrovascular; NAA; Precisión diagnóstica; BiomarcadoresPneumònia associada a l'accident cerebrovascular; Precisió diagnòstica; BiomarcadorsTo confirm the diagnostic accuracy of candidate biomarkers in stroke‐associated pneumonia (SAP), we prospectively enrolled ischemic stroke patients with NIHSS ≥ 10 on admission from March‐2016 to August‐2017. Blood samples were collected at baseline, 24 and 48 h after stroke onset. Biomarkers (MR‐proADM, suPAR, SAA) were determined by immunoassays. Regarding biomarkers, MR‐proADM at 24 h (P = 0.04) and both suPAR and SAA at 48 h (P = 0.036 and P = 0.057) were associated with pneumonia. The combination of SAA > 25.15 mg/dL and suPAR> 3.14 ng/mL at 48 h had 80% sensitivity and 95.8% specificity when both biomarkers were above the cut‐off. The evaluated biomarkers represent promising tools to be evaluated in future large, prospective studies on SAP. An accurate SAP diagnosis by thorax CT might help to reduce variability in such studies.This project was partially funded by the ISCIII project PI14/00971. The ITRIBiS project (Improving Translational Research Potential at the Institute of Biomedicine of Seville) has the registration number REGPOT-2013-1. Cooperative Cerebrovascular Disease Research Network (INVICTUS+) (RD16/0019/ 0015). AB is supported by a Juan Rodes research contract (JR16/0008) from Instituto de Salud Carlos III

Influence of sex, age and diabetes on brain transcriptome and proteome modifications following cerebral ischemia

Diabetes; Proteome; SexDiabetis; Proteoma; SexeDiabetes; Proteoma; SexoIschemic stroke is a major cause of death and disability worldwide. Translation into the clinical setting of neuroprotective agents showing promising results in pre-clinical studies has systematically failed. One possible explanation is that the animal models used to test neuroprotectants do not properly represent the population affected by stroke, as most of the pre-clinical studies are performed in healthy young male mice. Therefore, we aimed to determine if the response to cerebral ischemia differed depending on age, sex and the presence of comorbidities. Thus, we explored proteomic and transcriptomic changes triggered during the hyperacute phase of cerebral ischemia (by transient intraluminal middle cerebral artery occlusion) in the brain of: (1) young male mice, (2) young female mice, (3) aged male mice and (4) diabetic young male mice. Moreover, we compared each group's proteomic and transcriptomic changes using an integrative enrichment pathways analysis to disclose key common and exclusive altered proteins, genes and pathways in the first stages of the disease. We found 61 differentially expressed genes (DEG) in male mice, 77 in females, 699 in diabetics and 24 in aged mice. Of these, only 14 were commonly dysregulated in all groups. The enrichment pathways analysis revealed that the inflammatory response was the biological process with more DEG in all groups, followed by hemopoiesis. Our findings indicate that the response to cerebral ischemia regarding proteomic and transcriptomic changes differs depending on sex, age and comorbidities, highlighting the importance of incorporating animals with different phenotypes in future stroke research studies.This work has been funded by Instituto de Salud Carlos III (PI18/00804) and by the European Regional Development Fund (FEDER). Neurovascular Research Laboratory takes part in the Spanish stroke research network RICORS-ICTUS. L.R is supported by a pre-doctoral fellowship from the Instituto de Salud Carlos III (IFI17/00012)

Blood Biomarker Panels for the Early Prediction of Stroke‐Associated Complications

Biomarkers; Stroke; Stroke‐associated infectionBiomarcadors; Ictus; Infecció associada a un ictusBiomarcadores; Ictus; Infección asociada a un ictusBackground Acute decompensated heart failure (ADHF) and respiratory tract infections (RTIs) are potentially life‐threatening complications in patients experiencing stroke during hospitalization. We aimed to test whether blood biomarker panels might predict these complications early after admission. Methods and Results Nine hundred thirty‐eight patients experiencing ischemic stroke were prospectively recruited in the Stroke‐Chip study. Post‐stroke complications during hospitalization were retrospectively evaluated. Blood samples were drawn within 6 hours after stroke onset, and 14 biomarkers were analyzed by immunoassays. Biomarker values were normalized using log‐transformation and Z score. PanelomiX algorithm was used to select panels with the best accuracy for predicting ADHF and RTI. Logistic regression models were constructed with the clinical variables and the biomarker panels. The additional predictive value of the panels compared with the clinical model alone was evaluated by receiver operating characteristic curves. An internal validation through a 10‐fold cross‐validation with 3 repeats was performed. ADHF and RTI occurred in 19 (2%) and 86 (9.1%) cases, respectively. Three‐biomarker panels were developed as predictors: vascular adhesion protein‐1 >5.67, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) >4.98 and d‐dimer >5.38 (sensitivity, 89.5%; specificity, 71.7%) for ADHF; and interleukin‐6 >3.97, von Willebrand factor >3.67, and d‐dimer >4.58 (sensitivity, 82.6%; specificity, 59.8%) for RTI. Both panels independently predicted stroke complications (panel for ADHF: odds ratio [OR] [95% CI], 10.1 [3–52.2]; panel for RTI: OR, 3.73 [1.95–7.14]) after adjustment by clinical confounders. The addition of the panel to clinical predictors significantly improved areas under the curve of the receiver operating characteristic curves in both cases. Conclusions Blood biomarkers could be useful for the early prediction of ADHF and RTI. Future studies should assess the usefulness of these panels in front of patients experiencing stroke with respiratory symptoms such as dyspnea.This project received funding from Instituto de Salud Carlos III (ISCIII) [DTS14/00004, PI17/02130], co‐financed by the European Regional Development Fund (FEDER), and from Fundació La Marató de TV3 [201706] and the European Union's Horizon 2020 research and innovation program [754517]. Neurovascular Research Laboratory takes part into the Spanish stroke research network INVICTUS+ (RD16/0019/0021). The funders had no role in the study design and conduction

Circulating AQP4 Levels in Patients with Cerebral Amyloid Angiopathy-Associated Intracerebral Hemorrhage

Aquaporina 4; Angiopatia amiloide cerebral; Marcadors d'imatge per ressonància magnèticaAcuaporina 4; Angiopatía amiloide cerebral; Marcadores de imágenes por resonancia magnéticaAquaporin 4; Cerebral amyloid angiopathy; Magnetic resonance imaging markersCerebral amyloid angiopathy (CAA) is a major cause of lobar intracerebral hemorrhage (ICH) in elderly patients. Growing evidence suggests a potential role of aquaporin 4 (AQP4) in amyloid-beta-associated diseases, including CAA pathology. Our aim was to investigate the circulating levels of AQP4 in a cohort of patients who had suffered a lobar ICH with a clinical diagnosis of CAA. AQP4 levels were analyzed in the serum of 60 CAA-related ICH patients and 19 non-stroke subjects by enzyme-linked immunosorbent assay (ELISA). The CAA–ICH cohort was divided according to the time point of the functional outcome evaluation: mid-term (12 ± 18.6 months) and long-term (38.5 ± 32.9 months) after the last ICH. Although no differences were found in AQP4 serum levels between cases and controls, lower levels were found in CAA patients presenting specific hemorrhagic features such as ≥2 lobar ICHs and ≥5 lobar microbleeds detected by magnetic resonance imaging (MRI). In addition, CAA-related ICH patients who presented a long-term good functional outcome had higher circulating AQP4 levels than subjects with a poor outcome or controls. Our data suggest that AQP4 could potentially predict a long-term functional outcome and may play a protective role after a lobar ICH.This research was funded by the Instituto de Salud Carlos III (ISCIII), (PI17/00275 and PI20/00465), co-financed by the European Regional Development Fund FEDER. The Neurovascular Research Laboratory is part of the INVICTUS+ network, ISCIII, Spain (RD16/0019/0021). M.H.-G. was supported by the Miguel Servet programme, ISCIII, Spain (CPII17/00010). P.M. held a predoctoral fellowship from the Vall d’Hebron Research Institute