[Epidemic situation of malaria in Qingdao City from 2012 to 2017].

OBJECTIVE: To investigate the epidemic situation and its epidemic characteristics of malaria in Qingdao City from 2012 to 2017, so as to provide the evidence for the prevention and control of malaria in this city. METHODS: The data of cases and epidemiological characteristics of malaria in Qingdao City, 2012-2017 were collected from the China's disease prevention and control system infectious disease report information management system and parasitic disease prevention and control information management system, and analyzed. RESULTS: A total of 103 cases of malaria were reported in Qingdao City from 2012 to 2017, and all of them were imported. Among them, 98 (95.15%) were imported from Africa and 5 (4.85%) from Asia. There were 92 laboratory confirmed cases (89.32%) and 11 (10.68%) clinically diagnosed cases. The highest incidence occurred in 2016 (0.28/105) . According to the classification of cases, there were 87 falciparum malaria cases (84.47%), 13 vivax malaria cases (12.62%), and 3 ovale malaria cases (2.91%) . These patients were mainly young men, and the male to female ratio was 19.6∶1. There were malaria case reports in each month, and the peak onset season was not obvious. Newly diagnosed and confirmed units were mainly municipal medical institutions; the median of onset-definite diagnosis was 4 days. There was one death case, but there were no recurrence, reburning, and imported secondary cases. CONCLUSIONS: There were no local malaria cases in Qingdao City from 2012 to 2017. The prevention and control of imported malaria is the focus of the future work.

Searching for Potential Ovarian Cancer Biomarkers with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.

Ovarian cancer is a common gynecological malignant disease, causing more deaths among women .The key objective in the treatment of ovarian cancer is early diagnosis. The objective of our study was to seek new ovarian cancer biomarkers based on a serum protein profile with the aim of discriminating ovarian cancer patients from healthy controls. An MB-WCX kit was used to analyze serum samples obtained from 20 ovarian cancer patients and 20 healthy controls and then we generated MALDI-TOF protein profiles from the analysis. After pre-processing of the spectra, linear analysis with ClinProTools bioinformatics software was used to classify protein profiles and search for prominent peaks that could be used as potential ovarian cancer biomarkers. Using ClinproTools bioinformatics and statistical software, we found 5 prominent expressed proteins in the ovarian cancer and healthy control groups. The mass to charge ratio were 4648.21(m/z), 9294.03(m/z), 3886.1(m/z), 9066.38(m/z) and 4254.71(m/z), respectively, and the former four proteins were expressed higher in the ovarian cancer patients, but the later one was expressed at lower levels in the cancer patients. The sensitivity and specificity were both more than 90%. From our study, we found that MALDI-TOF MS is a high-throughput sample preparation method and is a new potential tool for the diagnosis of human disease, not only to search for new early detection biomarkers in the ovarian cancer patients' serum samples, but also with a potential use for routine clinical work.