His research interests include molecular epidemiologic studies on viral and bacterial diseases. References 1. World Health Organization. Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV) [cited 2020 Feb 18]. https://www.who.int/news-room/detail/30-01-2020statement-on-the-second-meeting-of-the-internationalhealth-regulations-(2005)-emergency-committee-regardingthe-outbreak-of-novel-coronavirus-(2019-ncov) 2. Zhu N,
Klotho beta (KLB) mediates binding of fibroblast growth factor (FGF) 21 to the FGF receptor (FGFR). FGF21-KLB-FGFR signaling regulates multiple metabolic systems in the liver, and we hypothesized that FGF21, KLB and FGFR single-nucleotide polymorphisms (SNPs) are involved in hepatic lipid accumulation. The SNPs were detected in 1688 individuals divided into four groups: non-obese without non-alcoholic fatty liver disease (NAFLD), obese without NAFLD, non-obese with NAFLD, and obese with NAFLD. The A-allele of KLB SNP rs7670903 correlated with higher body mass index (P = 0.0005), and the A-allele frequency was higher in the obese than non-obese group (P = 0.003). The G-allele frequency of KLB rs7674434 and T-allele frequency of rs12152703 were higher in the obese with NAFLD than obese without NAFLD group (P = 0.004 and P = 0.006), but the genotype distribution between two non-obese groups did not differ. KLB rs7674434 and rs12152703 had associations with alanine aminotransferase (ALT) (P = 0.03 and P = 0.04, respectively) and gamma-glutamyltransferase (P = 0.03 and P = 0.02, respectively) levels in all subjects, but the associations were especially strong with ALT in the NAFLD group (P = 0.005 and P = 0.008, respectively). These findings suggest that KLB SNPs are related to obesity and hepatic inflammation and that they may be involved in the pathogenesis of NAFLD.
At present, it has been noticed that some patients recovered from COVID-19 present a recurrent positive RNA test of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) after being discharged from hospitals. The purpose of the current study was to characterize the clinical features of re-hospitalized patients with recurrent SARS-CoV-2 positive results. From January 12 to April 1 of 2020, our retrospective study was conducted in China. The exposure history, baseline data, laboratory findings, therapeutic schedule, and clinical endpoints of the patients were collected. All the patients were followed until April 10, 2020. Among all COVID-19 patients included in the current study, there were 14 re-hospitalized patients due to recurrent positive tests of SARS-CoV-2 RNA. Fever (11 [78.6%]), cough (10 [71.4%]), and fatigue (7 [50.0%]) were the most common symptoms on the patient's first admission, and less symptoms were found on their second admission. The average duration from the onset of symptoms to admission to hospital was found to be 8.4 days for the first admission and 2.6 days for the second admission (P = 0.002). The average time from the detection of RNA (+) to hospitalization was 1.9 days for the first admission and 2.6 days for the second admission (P = 0.479), and the average time from RNA (+) to RNA (−) was 11.1 days for the first admission and 6.3 days for the second admission (P = 0.030). Moreover, the total time in hospital was 18.6 days for the first admission and 8.0 days for the second admission (P = 0.000). It may be necessary to increase the isolation observation time and RT-PCR tests should be timely performed on multiple samples as soon as possible.
Background: The coronavirus disease 2019 (COVID-19) is spreading rapidly across countries and has infected tens of millions of people all over the world. So far, the pandemic is ongoing globally, and the situation is still worsening.Methods: In this retrospective, single-center cohort analysis, we included 25 adult inpatients with laboratory confirmed COVID-19 disease from the affiliated hospital of Xuzhou Medical University (Xuzhou, China). Epidemiological characterizations, clinical findings, and medical treatments were all reported. In addition, laboratory markers were investigated in terms of course of treatment.Results: Epidemiological features and clinical findings were present for all 25 patients. Laboratory markers were identified due to temporal changes. After medical treatment, all patients were discharged home and recovering from the infection. Conclusions:This study provides a comprehensive overview of patients with COVID-19 disease in a single hospital. Some of the laboratory markers were statistically different during the course of the disease, which might serve as indicators in identifying patients with COVID-19 disease at an early stage of the infection.
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