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In this work, the well-defi ned Pt hollow nanospheres with the rough porous surface are synthesized by a facile self-templated approach. The formation of the spherical Pt(II)-urea complex plays a key role in the generation of Pt hollow nanospheres. Sodium formate is employed as the suitable reducing agent for reducing Pt(II)-urea complexes. The hollow structure and the rough porous surface with abundant atomic defects are confi rmed by scanning electron microscopy and transmission electron microscopy, respectively. The CO-stripping experiment reveals that these abundant atomic defects effectually enhance the electrocatalytic activity of the Pt hollow nanospheres for the CO oxidation reaction. Moreover, the low activation energy of the ethanol oxidation reaction (EOR) on the Pt hollow nanospheres indicates that the hollow structure and the rough porous surface are benefi cial kinetically for the EOR in alkaline media. Compared with commercial Pt black, the as-prepared Pt hollow nanospheres show the enhanced electrocatalytic activity and stability for the EOR in alkaline media. In view of the enhanced catalytic activity and the facile self-templated approach, the Pt hollow nanospheres may be a new promising electrocatalyst for alkaline direct ethanol fuel cells.

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Immune and inflammatory mechanisms play key roles in the development and outcome of acute ischemic stroke (AIS). β2-Microglobulin (β2M) is the light chain of major histocompatibility complex-1 (MHC-1), which can directly and quickly reflect the immune and inflammatory state of the body. Previous studies have shown a close relationship between β2M and AIS, but its relationship with the recurrence of AIS has not been reported. This study attempted to explore the relationship between β2M and the recurrence of AIS. A single-center AIS cohort involving 135 patients was followed for approximately 26–46 months. Clinical and laboratory data from the patients were collected when hospitalized. The endpoint was the occurrence of recurrent AIS after patients were discharged. Propensity score matching was used to match cohort groups. Cox regression analysis was used to predict risk factors for recurrent AIS, and receiver operating characteristic curve (ROC) analysis was used to calculate the optimal cutoff value for discriminating recurrence in patients with AIS. The rate of recurrence was 29.6% [95% CI, 21.8%–37.3%] in the follow-up group. Patients with higher levels of serum β2M had a higher risk of AIS recurrence than patients with lower levels of β2M (adjusted hazard ratio, 3.214 [95% CI, 1.557–6.633]; adjusted hazard ratio after matching, 5.831, [95% CI, 2.052–16.572]). A β2M value of 2.31 mg/L was calculated by ROC analysis as the optimal cutoff value for AIS recurrence (area under the curve 0.770, [95% CI, 0.687–0.853]). As a quick responder to the body’s immune and inflammatory states, β2M may be a novel and reliable biomarker in predicting AIS recurrence.