Background: The pandemic of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is causing great loss. Detecting viral RNAs is standard approach for SARS-CoV-2 diagnosis with variable success. Currently, studies describing the serological diagnostic methods are emerging, while most of them just involve the detection of SARS-CoV-2-specific IgM and IgG by ELISA or “flow immunoassay” with limited accuracy.Methods: Diagnostic approach depends on chemiluminescence immunoanalysis (CLIA) for detecting IgA, IgM and IgG specific to SARS-CoV-2 nucleocapsid protein (NP) and receptor-binding domain (RBD) was developed. The approach was tested with 216 sera from 87 COVID-19 patients and 483 sera from SARS-CoV-2 negative individuals. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) analysis. Concentration kinetics of RBD-specific serum antibodies were characterized. The relationship of serum RBD-specific antibodies and disease severity was analyzed.Results: The diagnostic accuracy based on RBD outperformed those based on NP. Adding IgA to a conventional serological test containing IgM and IgG improves sensitivity of SARS-CoV-2 diagnosis at early stage. CLIA for detecting RBD-specific IgA, IgM and IgG showed diagnostic sensitivities of 98.6%, 96.8% and 96.8%, and specificities of 98.1%, 92.3% and 99.8%, respectively. Median concentration of IgA and IgM peaked during 16-20 days after illness onset at 8.84 μg/mL and 7.25 μg/mL, respectively, while IgG peaked during 21-25 days after illness onset at 16.47 μg/mL. Furthermore, the serum IgA level positively correlates with COVID-19 severity.Conclusion: CLIA for detecting SARS-CoV-2 RBD-specific IgA, IgM and IgG in blood provides additional values for diagnosing and monitoring of COVID-19.Summary: Chemiluminescence immunoanalysis of SARS-CoV-2 RBD-specific serum IgA as well as IgM and IgG improves accuracy of COVID-19 diagnosis. Concentration kinetics of serum RBD-specific IgA, IgM and IgG are revealed. Serum IgA levels positively correlate with COVID-19 severity.

Background: Streptococcus suis is a zoonotic pathogen that can cause severe infections such as meningitis and septicemia in both swine and humans. Rapid and accurate identification of the causative agent is very important for guiding clinical choices in administering countermeasures. Case Report: Here, we report a case of fatal S. suis infection in a patient who worked as a butcher in China. The 59-year-old man, who had previously undergone splenectomy, injured his finger while processing pork and developed severe sepsis. While blood cultures were negative following antibiotic treatment, S. suis was determined to be the causative agent by metagenomic next-generation sequencing (mNGS) and Sanger sequencing. Conclusion: Identification of etiological agents using techniques such as blood culture prior to antibiotic treatment is very important. mNGS may represent a useful method for diagnosis of infectious diseases, especially post-antibiotic treatment.

Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) has become an urgent global public health issue, but its distribution has obvious regional differences. The purpose of this study was to investigate the patient-based disease burden and molecular epidemiology of CRKP infections in a tertiary hospital in northern Jiangsu Province in China. Methods: A retrospective, epidemiological survey of CRKP infections in our hospital from January to December 2016 was conducted to collect clinical and epidemiologic data. Non-duplicated clinical CRKP isolates were collected for the resistance-associated genes and clonal correlation analysis by PCR, sequencing and multilocus sequence typing (MLST). Results: 252 CRKP infection cases were collected, and the annual CRKP infection incidence of the hospital during 2016 was 14.64 per 10,000 hospital discharges (252/172,112*10,000) and 13.78 per 100,000 patient days (252/1,829,190*100,000). The patient-based disease burden concentrated on antimicrobial exposure history (133/224, 59.37%)—the most dominant STs. KPC-2 (120/128, 93.8%) was the predominant carbapenemase and ST11 (98/128, 76.5%) was the dominant STs. One isolate was detected with harboring bla_KPC-2 and bla_MCR-1 simultaneously. Conclusions: Patient-based disease burden and KPC-2-producing ST11 Klebsiella pneumonia caused in higher CRKP incidence in the hospital. The emergence of CRKP with bla_KPC-2 and bla_MCR-1 should be of concern.