The global effort against the COVID-19 pandemic dictates that routine quantitative detection of SARS-CoV-2 neutralizing antibodies is vital for assessing immunity following periodic revaccination against new viral variants. Here, we report a dual-detection fluorescent immunochromatographic assay (DFIA), with a built-in self-calibration process, that enables rapid quantitative detection of neutralizing antibodies that block binding between the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein and the angiotensin-converting enzyme 2 (ACE2). Thus, this assay is based on the inhibition of binding between ACE2 and the RBD of the SARS-CoV-2 spike protein by neutralizing antibodies, and the affinity of anti-human immunoglobulins for these neutralizing antibodies. Our self-calibrating DFIA shows improved precision and sensitivity with a wider dynamic linear range, due to the incorporation of a ratiometric algorithm of two-reverse linkage signals responding to an analyte. This was evident by the fact that no positive results (0/14) were observed in verified negative samples, while 22 positives were detected in 23 samples from verified convalescent plasma. A comparative analysis of the ability to detect neutralizing antibodies in 266 clinical serum samples including those from vaccine recipients, indicated that the overall percent agreement between DFIA and the commercial ELISA kit was 90.98%. Thus, the proposed DFIA provides a more reliable and accurate rapid test for detecting SARS-CoV-2 infections and vaccinations in the community. Therefore, the DFIA based strategy for detecting biomarkers, which uses a ratiometric algorithm based on affinity and inhibition reactions, may be applied to improve the performance of immunochromatographic assays.

Objective Postincision pain often occurs after surgery and is an emergency to be treated in clinic. Electroacupuncture (EA) is a Chinese traditional treatment widely used to cure acute or chronic pain, but its mechanism is not clear. Interleukin-10 (IL-10) is a powerful anti-inflammatory cytokine that shows neuroprotective effects in inflammation and injury in the CNS. The present study attempts to reveal that IL-10 is crucial for EA analgesia on postincision pain. Methods A model of incision pain was established in C57BL/6J mice. The pain threshold was detected by behavioral test, and the expression of IL-10 and its receptor was detected by an immunohistochemical method. C-fiber-evoked field potentials were recorded by in vivo analysis. Results The mechanical allodynia induced by paw incision was significantly inhibited by pretreatment of EA in mice. Intrathecal injection of IL-10 neutralizing antibody (2 µg/10 µL) but not intraplantar injection (10 µg/10 µL) reversed the analgesia of EA. The upregulations of IL-10 mRNA and protein were induced by EA at 6 h and 1 d after incision, respectively. Spinal long-term potentiation (LTP), a substrate for central sensitization, was also suppressed by EA with IL-10. IL-10 recombinant protein (1 µg/10 µL, i.t.) mimicked the analgesia of EA on mechanical allodynia and inhibition on the spinal LTP. Posttreatment of EA after incision also transitorily relieved the mechanical allodynia, which can be blocked by spinal IL-10 antibody. IL-10 and its receptor, IL-10RA, are predominantly expressed in the superficial spinal astrocytes. Conclusions These results suggested that pretreatment of EA effectively prevented postincision pain and IL-10 in spinal astrocytes was critical for the analgesia of EA and central sensitization.

ObjectiveHere, we aimed to identify protein biomarkers that could rapidly and accurately diagnose multiple sclerosis (MS) using a highly sensitive proteomic immunoassay.MethodsTandem mass tag (TMT) quantitative proteomic analysis was performed to determine the differentially expressed proteins (DEPs) in cerebrospinal fluid (CSF) samples collected from 10 patients with MS and 10 non-inflammatory neurological controls (NINCs). The DEPs were analyzed using bioinformatics tools, and the candidate proteins were validated using the ELISA method in another cohort comprising 160 samples (paired CSF and plasma of 40 patients with MS, CSF of 40 NINCs, and plasma of 40 healthy individuals). Receiver operating characteristic (ROC) curves were used to determine the diagnostic potential of this method.ResultsCompared to NINCs, we identified 83 CSF-specific DEPs out of a total of 343 proteins in MS patients. Gene ontology (GO) enrichment analysis revealed that these DEPs are mainly involved in platelet degranulation, negative regulation of proteolysis, and post-translational protein modification. Pathway enrichment analysis revealed that the complement and coagulation cascades, Ras signaling pathway, and PI3K-Akt signaling pathway are the main components. Insulin-like growth factor-binding protein 7 (IGFBP7), insulin-like growth factor 2 (IGF2), and somatostatin (SST) were identified as the potential proteins with high scores, degree, and centrality in the protein-protein interaction (PPI) network. We validated the expression of these three proteins using ELISA. Compared to NINCs, the level of CSF IGFBP7 was significantly upregulated, and the level of CSF SST was significantly downregulated in the MS group.ConclusionOur results suggest that SST and IGFBP7 might be associated with the pathogenesis of MS and would be helpful in diagnosing MS. Since IGFBP7 was used to classify relapsing remitting MS (RRMS) and secondary progressive MS (SPMS) patients, therefore, it may act as a potential key marker and therapeutic target in MS.

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