Depression after stroke is a common occurrence, raising questions as to whether depression could be a long-term biological and immunological sequela of stroke. Early explanations for post-stroke depression (PSD) focused on the neuropsychological/psychosocial effects of stroke on mobility and quality of life. However, recent investigations have revealed imbalances of inflammatory cytokine levels in association with PSD, though to date, there is only one published proteomic pathway analysis testing this hypothesis. Thus, we examined the serum proteome of stroke patients (n = 44, mean age = 63.62 years) and correlated these with the Montgomery–Åsberg Depression Rating Scale (MADRS) scores at 3 months post-stroke. Overall, the patients presented with mild depression symptoms on the MADRS, M = 6.40 (SD = 7.42). A discovery approach utilizing label-free relative quantification was employed utilizing an LC-ESI–MS/MS coupled to a LTQ-Orbitrap Elite (Thermo-Scientific). Identified peptides were analyzed using the gene set enrichment approach on several different genomic databases that all indicated significant downregulation of the complement and coagulation systems with increasing MADRS scores. Complement and coagulation systems are traditionally thought to play a key role in the innate immune system and are established precursors to the adaptive immune system through pro-inflammatory cytokine signaling. Both systems are known to be globally affected after ischemic or hemorrhagic stroke. Thus, our results suggest that lowered complement expression in the periphery in conjunction with depressive symptoms post-stroke may be a biomarker for incomplete recovery of brain metabolic needs, homeostasis, and inflammation following ischemic stroke damage. Further proteomic investigations are now required to construct the temporal profile, leading from acute lesion damage to manifestation of depressive symptoms. Overall, the findings provide support for the involvement of inflammatory and immune mechanisms in PSD symptoms and further demonstrate the value and feasibility of the proteomic approach in stroke research.

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Background Cognition affects poststroke recovery, but meta-analyses of cognition have not yet provided a comparison of observational and intervention evidence. Objective To describe the trajectory of poststroke cognition and the factors that moderate it across intervention and observational cohorts. Methods Six databases were searched up to January 2020. Studies describing quantitative changes in cognition in adults poststroke were included. Interventions were classified into pharmacological, therapist-led, nonroutine/alternative, and usual care. Summary estimates were compared via hierarchical mixed-effects models. Age, recovery stage, stroke etiology, cognitive domain targeted in studies, and intervention types were investigated as moderators of cognition. Recovery stage and intervention were further analyzed in a multiplicative metaregression model. Results A total of 43 intervention trials and 79 observation cohorts involving 28 222 stroke participants were included. Heterogeneity was significant (τ2 = 0.09; CI = 0.01-0.21, P < .001) with no evidence of publication bias. Cognitive recovery was greater in intervention trials ( g = 0.47; CI = 0.37-0.58) than observational cohorts ( g = 0.28; CI = 0.20-0.36) across all moderators analyzed. Nonroutine/alternative and pharmacological trials achieved the best overall results ( g = 0.57, CI = 0.42-0.73, and g = 0.52, CI = 0.30-0.74, respectively), followed by therapist-led ( g = 0.46; CI = 0.17-0.74), and usual care ( g = 0.28; CI = 0.11-0.45) interventions. Medium recovery effects (ie, g ≥ 0.5) were observed in examining first-ever stroke, executive function, visuo-perceptual, consciousness, and psychomotor skills, 61 to 180 days poststroke, in participants aged 65 to 70 years. Conclusion Cognitive recovery is possible using different controlled interventions in all recovery stages, with smaller benefits ≥2 years poststroke. Longer-term studies are needed to determine the role of nonroutine/alternative therapies and the association between cognitive recovery and performance in everyday activities.

Background and Aims. White blood cell (WBC) and neutrophil counts (NC) are common markers of inflammation and neurological stroke damage and could be expected to predict poststroke outcomes. Objective. The aim of this study was to explore the prognostic value of early poststroke WBC and NC to predict cognition, mood, and disability outcomes at 3 and 12 months poststroke. Methods. Routine clinical analyses WBC and NC were collected at 3 time points in the first 4 days of hospitalization from 156 acute stroke patients. Correlations using hierarchical or ordinal regressions were explored between acute WBC and NC and functional recovery, depression, and cognition at 3 and 12 months poststroke, after covarying for age and baseline stroke severity. Results. We found significant increases in NC between <12 hours and 24 to 48 hours time points ( P = .05). Hierarchical regressions, covaried for age and baseline stroke severity, found that 24 to 48 hours WBC ( P = .05) and NC ( P = .04) significantly predicted 3-month cognition scores. Similarly, 24 to 48 hours WBC ( P = .05) and NC ( P = .02) predicted cognition scores at 12 months. Increases in WBC and NC were predictive of increased cognition scores at both 3 and 12 months (positive recovery) though there were no significant associations between WBC and NC and disability or depression scores. Conclusions. Routine acute stroke clinical laboratory tests such as WBC and NC taken between 24 and 48 hours poststroke are predictive of cognition poststroke. It is interpreted that higher rapid immunological activation in the acute phase is an indicator for the trajectory of positive stroke recovery.