Correlation between plasma lipoprotein-associated phospholipase A2 levels and risk of ischaemic stroke recurrence by gender in the Chinese population.

OBJECTIVE: To investigate the correlation between gender differences in plasma lipoprotein phospholipase A2 (Lp-PLA2) levels and the risk of recurrent stroke in patients with acute ischaemic stroke in China. METHODS: We conducted a prospective follow-up study that included baselineLp-PLA2 levels and NIH Stroke Scale (NIHSS) scores in patients with ischaemic stroke upon admission. The diagnostic efficacy of the baseline Lp-PLA2 level for stroke recurrence was evaluated. And Kaplan‒Meier method was used to analyse the difference in the risk of recurrent stroke between these two groups among males and females. A paired t test was used to analyse the difference in Lp-PLA2 levels in male and female patients after follow-up. RESULTS: Baseline plasma Lp-PLA2 was higher in men and women with recurrent stroke than in those without recurrent stroke. The correlation between baseline Lp-PLA2 and neurological impairment was higher in female than male stroke patients (R = 0.338 and 0.253, respectively). Although weakly correlated with neurological impairment, baseline Lp-PLA2 was more effective in predicting recurrent stroke (AUC = 0.705 in men, 0.788 in women). A Cox model was used to compare the risk of stroke between the high- and low-Lp-PLA2 groups (OR = 3.98 in men, 2.61 in women). According to the follow-up time of 6 months as the node, Lp-PLA2 will give different risk indicators. CONCLUSION: Elevated plasma Lp-PLA2 is an independent risk factor for recurrent ischaemic stroke but is not strongly associated with the degree of cerebral damage. The predictive value of baseline Lp-PLA2 for stroke recurrence risk was higher in females than in males.

Rapid Evaluation of Lung Adenocarcinoma Progression by Detecting Plasma Extracellular Vesicles with Lateral Flow Immunoassays.

Extracellular vesicles (EVs) have been widely used in liquid biopsy to diagnose and monitor cancers. However, since samples containing EVs are usually body fluids with complex components, the cumbersome separation steps for EVs during detection limit the clinical application and promotion of EV detection methods. In this study, a dyad lateral flow immunoassay (LFIA) strip for EV detection, containing CD9-CD81 and EpCAM-CD81, was developed to detect universal EVs and tumor-derived EVs, respectively. The dyad LFIA strip can directly detect trace plasma samples and effectively distinguish the cancerous sample from healthy plasma. The limit of detection for detecting universal EVs was 2.4 × 105 mL-1. The whole immunoassay can be performed in 15 min and only consumes 0.2 µL of plasma for one test. To improve the suitability of a dyad LFIA strip in complex scenarios, a smartphone-based photographic method was developed, which provided a consistency of 96.07% to a specialized fluorescence LFIA strip analyzer. In further clinical testing, EV-LFIA discriminated lung cancer patient groups (n = 25) from healthy controls (n = 22) with 100% sensitivity and 94.74% specificity at the best cutoff. The detection of EpCAM-CD81 tumor EVs (TEVs) in lung cancer plasma revealed the differences in TEVs in individuals, which reflected the different treatment effects. TEV-LFIA results were compared with CT scan findings (n = 30). The vast majority of patients with increased TEV-LFIA detection intensity had lung masses that enlarged or remained unchanged in size, which reported no response to treatment. In other words, patients who reported no response (n = 22) had a high TEV level compared with patients who reported a response to treatment (n = 8). Taken together, the developed dyad LFIA strip provides a simple and rapid platform to characterize EVs to monitor lung cancer therapy outcomes.