Integrated serum proteomic and N-glycoproteomic characterization of dengue patients.

Dengue fever is a mosquito-borne viral disease caused by the dengue virus (DENV). It poses a public health threat globally and, while most people with dengue have mild symptoms or are asymptomatic, approximately 5% of affected individuals develop severe disease and need hospital care. However, knowledge of the molecular mechanisms underlying dengue infection and the interaction between the virus and its host remains limited. In the present study, we performed a quantitative proteomic and N-glycoproteomic analysis of serum from 19 patients with dengue and 11 healthy people. The results revealed distinct proteomic and N-glycoproteomic landscapes between the two groups. Notably, we report for the first time the changes in the serum N glycosylation pattern following dengue infection and provide abundant information on glycoproteins, glycosylation sites, and intact N-glycopeptides using recently developed site-specific glycoproteomic approaches. Furthermore, a series of key functional pathways in proteomic and N-glycoproteomic were identified. Collectively, our findings significantly improve understanding of host and DENV interactions and the general pathogenesis and pathology of DENV, laying a foundation for functional studies of glycosylation and glycan structures in dengue infection.

Pulmonary fibrosis and its related factors in discharged patients with new corona virus pneumonia: a cohort study.

BACKGROUND: Thousands of Coronavirus Disease 2019 (COVID-19) patients have been discharged from hospitals Persistent follow-up studies are required to evaluate the prevalence of post-COVID-19 fibrosis. METHODS: This study involves 462 laboratory-confirmed patients with COVID-19 who were admitted to Shenzhen Third People's Hospital from January 11, 2020 to April 26, 2020. A total of 457 patients underwent thin-section chest CT scans during the hospitalization or after discharge to identify the pulmonary lesion. A total of 287 patients were followed up from 90 to 150 days after the onset of the disease, and lung function tests were conducted about three months after the onset. The risk factors affecting the persistence of pulmonary fibrosis were identified through regression analysis and the prediction model of the persistence of pulmonary fibrosis was established. RESULTS: Parenchymal bands, irregular interfaces, reticulation and traction bronchiectasis were the most common CT features in all COVID-19 patients. During the 0-30, 31-60, 61-90, 91-120 and > 120 days after onset, 86.87%, 74.40%, 79.56%, 68.12% and 62.03% patients developed with pulmonary fibrosis and 4.53%, 19.61%, 18.02%, 38.30% and 48.98% patients reversed pulmonary fibrosis, respectively. It was observed that Age, BMI, Fever, and Highest PCT were predictive factors for sustaining fibrosis even after 90 days from onset. A predictive model of the persistence with pulmonary fibrosis was developed based-on the Logistic Regression method with an accuracy, PPV, NPV, Sensitivity and Specificity of the model of 76%, 71%, 79%, 67%, and 82%, respectively. More than half of the COVID-19 patients revealed abnormal conditions in lung function after 90 days from onset, and the ratio of abnormal lung function did not differ on a statistically significant level between the fibrotic and non-fibrotic groups. CONCLUSIONS: Persistent pulmonary fibrosis was more likely to develop in patients with older age, higher BMI, severe/critical condition, fever, a longer viral clearance time, pre-existing disease and delayed hospitalization. Fibrosis developed in COVID-19 patients could be reversed in about a third of the patients after 120 days from onset. The pulmonary function of less than half of COVID-19 patients could turn to normal condition after three months from onset. An effective prediction model with an average area under the curve (AUC) of 0.84 was established to predict the persistence of pulmonary fibrosis in COVID-19 patients for early diagnosis.

The correlation between viral clearance and biochemical outcomes of 94 COVID-19 infected discharged patients.

OBJECTIVE: This study aims to evaluate the correlation between viral clearance and blood biochemical index of 94 discharged patients with COVID-19 infection in Shenzhen Third People's Hospital, enrolled from Jan 5 to Feb 13, 2020. METHODS: The clinical and laboratory findings were extracted from the electronic medical records of the patients. The data were analysed and reviewed by a trained team of physicians. Information on clinical signs and symptoms, medical treatment, virus clearance, and laboratory parameters including interleukin 6 (IL-6) and C-reactive protein were collected. RESULTS: COVID-19 mRNA clearance ratio was identified significantly correlated with the decline of serum creatine kinase (CK) and lactate dehydrogenase (LDH) levels. Furthermore, COVID-19 mRNA clearance time was positively correlated with the length of hospital stay in patients treated with either IFN-α + lopinavir/ritonavir or IFN-α + lopinavir/ritonavir + ribavirin. CONCLUSIONS: Therapeutic regimens of IFN-α + lopinavir/ritonavir and IFN-α + lopinavir/ritonavir + ribavirin might be beneficial for treatment of COVID-19. Serum LDH or CK decline may predict a favorable response to treatment of COVID-19 infection.

Severity-onset prediction of COVID-19 via artificial-intelligence analysis of multivariate factors.

Progression to a severe condition remains a major risk factor for the COVID-19 mortality. Robust models that predict the onset of severe COVID-19 are urgently required to support sensitive decisions regarding patients and their treatments. In this study, we developed a multivariate survival model based on early-stage CT images and other physiological indicators and biomarkers using artificial-intelligence analysis to assess the risk of severe COVID-19 onset. We retrospectively enrolled 338 adult patients admitted to a hospital in China (severity rate, 31.9%; mortality rate, 0.9%). The physiological and pathological characteristics of the patients with severe and non-severe outcomes were compared. Age, body mass index, fever symptoms upon admission, coexisting hypertension, and diabetes were the risk factors for severe progression. Compared with the non-severe group, the severe group demonstrated abnormalities in biomarkers indicating organ function, inflammatory responses, blood oxygen, and coagulation function at an early stage. In addition, by integrating the intuitive CT images, the multivariable survival model showed significantly improved performance in predicting the onset of severe disease (mean time-dependent area under the curve = 0.880). Multivariate survival models based on early-stage CT images and other physiological indicators and biomarkers have shown high potential for predicting the onset of severe COVID-19.

Bioequivalence Analysis of 2 Dapoxetine Hydrochloride Formulations in Healthy Chinese Male Volunteers Under Fed and Fasting Conditions: A Randomized, Open-Label, 2-Sequence, 2-Period, 2-Way Crossover Study.

This study assessed whether the reference and test formulations of dapoxetine hydrochloride were bioequivalent under fed and fasting conditions postadministration of a single dose as well as evaluated the safety profile of these 2 formulations. This study was a randomized, single-center, 2-period, open-label, 2-way crossover design study with a washout period of 7 days between each period. The study included 80 subjects, 40 under fed and 40 under fasting conditions. During each study period, the subjects were administered a single oral dose of either the reference or the test formulation, followed by collection of plasma samples 70 hours postdose. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was performed to determine the concentrations of dapoxetine in plasma samples along with the calculation of Cmax , AUC0-t, and AUC0-inf . In addition, adverse events were monitored to determine the safety of these formulations. The geometric mean ratio (90%CI) for the reference and test formulations was 86% to 100%, 89% to 103%, and 89% to 103% under fasting conditions and 92% to 107%, 91% to 100%, and 92% to 101% under fed conditions for Cmax , AUC0-t , and AUC0-inf , respectively. The 90%CIs for the test/reference ratio for AUC and Cmax were within the acceptable limits of bioequivalence, thus demonstrating bioequivalence for these 2 dapoxetine hydrochloride formulations.

Immunological Evaluation on Potential Treatment Window for Hospitalized COVID-19 Patients.

PURPOSE: Novel coronavirus disease has become such an escalating epidemic that the exponential growth of infected patients has overloaded the health-care systems in many countries. Determination of early assessments for patients with a risk of clinical deterioration would benefit the management of COVID-19 outbreaks. PATIENTS AND METHODS: A total of 214 confirmed COVID-19 patients were enrolled from January 11th to February 11th 2020. Medical records including laboratory parameters, clinical outcomes and other characteristics of the admitted patients were analyzed retrospectively. RESULTS: The critical patients experienced a significantly prolonged onset-admission interval and presented with lymphopenia (r=-0.547, p=0.015) and lower albumin level (p<0.001) 6 days after symptom onset. Early admission of critical patients significantly reduced the duration of hormone therapy. Starting from 9 days of hospital stay, the reduced lymphocyte counts exhibited linear growth. Furthermore, on days 9 and 12, significant correlations were demonstrated between immunological manifestations and duration of hormone therapy in critical patients, and length of hospital stay in severe patients. In addition, the virus negative conversion rate was more significantly correlated with increased lymphocytes in critical patients. CONCLUSION: Early intervention, within 6 days of symptom onset, benefited patients' recovery from critical illness. The 9-12 days of hospital care represented a valuable window during which to evaluate the therapeutic effects on physical recovery and virus clearance.

Graphene and CdS nanocomposite: a facile interface for construction of DNA-based electrochemical biosensor and its application to the determination of phenformin.

Graphene/cadmium sulphide (GR-CdS) nanocomposite was synthesized via a low temperature process in aqueous solution. The as-prepared nanocomposite was characterized by scanning electron microscopy, UV-visible spectroscopy, Fourier transform infrared spectroscopy, and X-ray diffraction. The impedance analysis indicated that GR-CdS nanocomposite possessed outstanding electrochemical performance for facile electron transfer. When DNA was immobilized on GR-CdS (DNA/GR-CdS) modified electrode, the electrochemical oxidation of guanine and adenine in DNA residue bases was significantly promoted. Due to the interaction of DNA with phenformin, the voltammetric current of guanine or adenine on the DNA/GR-CdS electrode was decreased when phenformin was present in the electrolytic solution. Under optimized conditions, the signal of guanine on DNA/GR-CdS electrode decreased linearly with increasing the concentration of phenformin in the range of 1.0×10(-6)molL(-1) to 1.0×10(-3)molL(-1). The proposed DNA-based electrochemical biosensor was successfully applied to the determination of phenformin in real samples.

Prevention and risk factors of the HBV recurrence after orthotopic liver transplantation: 160 cases follow-up study.

BACKGROUND: The aim of this study was to analyze the combination with long-term, low-dose hepatitis B immunoglobulin (HBIG) and nucleos(t)ide analogs as prophylaxis for hepatitis B virus (HBV) recurrence and to assess the risk factors of HBV recurrence after orthotopic liver transplantation (OLT). METHODS: One hundred sixty patients undergoing OLT with HBV-related liver disease make up the cohort studied. Long-term, low dosage of HBIG in combination with nucleos(t)ide analogs were used as prophylaxis for HBV recurrence after OLT. Patient preoperative data were collected by a retrospective method, and the rate and risk factors of HBV recurrence post-OLT after a long-term follow-up were analyzed. RESULTS: Nineteen patients developed hepatitis B recurrence for a rate of recurrence of 11.88% (19/160). There was no significant correlation between HBV recurrence after OLT and the level of HBV DNA, HBeAg state pre-OLT, or the use of nucleoside analog drug therapy pre-OLT (P>0.05). Of 19 patients with HBV recurrence, 17 patients used Lamivudine, and HBV YMDD mutants were detected in nine cases. The HBV-YMDD mutation was the major reason for recurrence of HBV in our study (P<0.001). CONCLUSIONS: Long-term use of combination prophylaxis with nucleoside analogs and low-dose HBIG can effectively prevent hepatitis B recurrence after OLT, and that a positive preoperative serum HBV DNA status did not affect the recurrence rate of HBV post-OLT. Preoperative nucleoside analogs therapy is unlikely to be obligatory if the patients received effective combination prophylaxis postoperatively. HBV YMDD mutation is the primary reason for HBV recurrence in patients treated with Lamivudine after OLT.