Objective To determine the pathogen of a local dengue fever outbreak in Shenzhen city in 2010,and to analyze the molecular characteristics of the epidemic dengue virus strain as well as explore the possible origin.Methods The serum samples collected from the suspect dengue fever cases were detected for IgM, IgG by enzyme-linked immunosorbent assay ( ELISA ),immunochromatography and dengue virus nucleic acid by real-time polymerase chain reaction (PCR).Serum samples from patients with early stage dengue fever were used to isolate virus with C6/36 and BHK-21 cell lines.The type of isolated virus strain was determined by RT-semi-nested-PCR and realtime PCR.E gene of isolated virus strain was amplified by RT-PCR and sequenced.Homology and phylogenetic tree of E gene of Shenzhen dengue virus with the strains isolated from other areas were constructed.Results IgM,IgG and RNA of type 1 dengue virus were detected in serum samples from dengue fever suspected patients.Type 1 dengue virus named DEV1-SZ1029 was successfully isolated from the serum sample.The homology of nucleotide sequence of E gene of SZ1029 strain with standard type 1 dengue virus HAWAII 45,Fj231/04,GD14/97 and GD05/99 were 94.8％,99.6％,97.7％ and 98.5 ％,respectively.The phylogenetic tree indicated that SZ1029 had the greatest similarity with the D1/Malaysia/36000/05 strain,SG(EHI)DED142808 strain and Fj231/04 strain and they lied in the same branch of the phylogenetic tree.The isolated dengue virus type 1 belonged to genetype Ⅰ with GZ/80,Taiwan87,All patients lived in a certain construction site in Shenzhen and had no recent travel history outside the area in one month before infection.Conclusions The virological,serological and molecular features all identify that the local dengue fever outbreak in Shenzhen in 2010 is caused by type 1 dengue virus and SZ1029 strain may be transferred from Southeast Asian region,and there may be a plague focus in Shenzhen.

Objective:To conduct a visual analysis of domestic and international research on kinesiophobia to explore recent advancements and trending topics within the field and to provide references for future research in China.Methods:Literature published from 2015 to 2022 retrieved from Chinese databases such as China National Knowledge Infrastructure, Wanfang data, and VIP, and those published from 2009 to 2022 from the Web of Science, was analyzed using CiteSpace software. This analysis summarized and examined the number of publications, authors, collaborating institutions, and keywords, etc.Results:Both domestic and international publications on kinesiophobia showed an increasing trend in recent years, with international publications consistently outnumbering domestic ones. The most prolific authors were Cai Libai and Vlaeyen, and the leading institutions were the First Affiliated Hospital of Zhengzhou University and Maastricht University. Domestic research primarily involved intra-team collaborations with less inter-institutional cooperation, whereas international collaborations were more extensive. Key research topics identified through keyword analysis included kinesiophobia, pain, and movement, with frontiers in risk factors, clinical outcomes, and psychological health.Conclusions:There is a noticeable gap between domestic and international research on kinesiophobia. China should further focus on the emerging hotspots and trends in this field to enhance the prevention and intervention strategies for kinesiophobia research.

ObjectiveTo obtain the prevalence of sarcopenia in middle-aged and elderly people in Urumqi based on the 2020 updated based on the 2020 updated Consensus Report 2019 of Asian Working Group for Sarcopenia （AWGS2019）， and to further explore the association between sarcopenia and metabolic syndrome （MS）. MethodsA total of 1 438 middle-aged and elderly people （aged≥50 years） in Urumqi from July 2018 to January 2019 were selected as the research subjects. Data were collected by questionnaire survey， physical examination and laboratory test. Skeletal muscle mass，grip strength and 4 m walking speed were used to represent muscle mass， muscle strength and body function， respectively. Bioelectrical impedance analysis （BIA） was used to measure human body components. Based on the diagnostic criteria of sarcopenia recommended by AWGS2019， the prevalence of sarcopenia in people over 50 years old was obtained. Multivariate logistic regression model was used to explore the correlation between sarcopenia and MS in middle-aged and elderly people of different genders. ResultsThere were 194 patients with sarcopenia， with a prevalence of 13.49%. The prevalence was 15.56% in males and 12.12% in females. There was no significant difference in the prevalence of MS between male sarcopenia group （40.45%） and non-sarcopenia group （38.92%）， while the prevalence of MS in female sarcopenia group （39.04%） was higher than that in non-sarcopenia group （27.56%）. Multivariate logistic regression analysis showed that sarcopenia was a related factor of MS. Compared with non-sarcopenia， the risk of MS in male sarcopenia group was higher （OR=2.11，95%CI： 1.15‒3.88 ）. ConclusionSarcopenia increases the risk of MS in middle-aged and elderly people， with a greater risk in men. Fully understanding of sarcopenia is helpful to early identify high-risk groups of MS and prevent the occurrence of MS.

Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has spread around the world. However, approaches to distinguish COVID-19 from pneumonia caused by other pathogens have not yet been reported. We retrospectively analyzed the clinical data of 97 children with probable COVID-19. A total of 13 (13.4%) patients were confirmed positive for SARS-CoV-2 infection by nucleic acid RT-PCR testing, and 41 (42.3%) patients were found to be infected with other pathogens. Notably, no pathogen was detected in 43 (44.3%) patients. Among all patients, 25 (25.8%) had familial cluster exposure history, and 52 (53.6%) had one or more coexisting conditions. Fifteen (15.5%) patients were admitted or transferred to the PICU. In the 11 confirmed COVID-19 cases, 5 (45.5%) and 7 (63.6%) were positive for IgM and IgG against SARS-CoV-2, respectively. In 22 patients with suspected COVID-19, 1 (4.5%) was positive for IgG but negative for IgM. The most frequently detected pathogen was Mycoplasma pneumonia (29, 29.9%). One patient with confirmed COVID-19 died. Our results strongly indicated that the detection of asymptomatic COVID-19 or coexisting conditions must be strengthened in pediatric patients. These cases may be difficult to diagnose as COVID-19 unless etiologic analysis is conducted. A serologic test can be a useful adjunctive diagnostic tool in cases where SARS-CoV-2 infection is highly suspected but the nucleic acid test is negative.
Age Factors ; COVID-19/diagnosis* ; COVID-19 Testing ; Child ; Child, Preschool ; China ; Female ; Hospitalization ; Humans ; Infant ; Male ; Retrospective Studies ; SARS-CoV-2/isolation & purification* ; Symptom Assessment