In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
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Question: Objective: Coronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed. Methods: In this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed. Results: A total of 43 COVID-19 patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9±9.4 vs 44.4±15.9) and had higher incidence in co-infection with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 (IL6), IL10, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin (ALB) was remarkably All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. : medRxiv preprint lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB and IL6 were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 patients. : Age and the levels of ESR, D-D, ALB and IL6 are closely related to the disease severity of COVID-19 patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 patients in early stage, so as to increase the survival of severe patients.

Answer: Potential Factors for Prediction of Disease Severity of COVID-19 Patients


Question: The high mutation rate of the human immunodeficiency virus type 1 (HIV-1) virus is a major problem since it evades the function of antibodies and chemical inhibitors. Here, we demonstrate a viral detection strategy based on synthetic biology principles to detect a specific viral function rather than a particular viral protein. The resistance caused by mutations can be circumvented since the mutations that cause the loss of function also incapacitate the virus. Many pathogens encode proteases that are essential for their replication and that have a defined substrate specificity. A genetically encoded sensor composed of a fused membrane anchor, viral protease target site, and an orthogonal transcriptional activator was engineered into a human cell line. The HIV-1 protease released the transcriptional activator from the membrane, thereby inducing transcription of the selected genes. The device was still strongly activated by clinically relevant protease mutants that are resistant to protease inhibitors. In the future, a similar principle could be applied to detect also other pathogens and functions.

Answer: Function-Based Mutation-Resistant Synthetic Signaling Device Activated by HIV-1 Proteolysis


Question: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the 34 ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of 35 international concern declared by the World Health Organization (WHO). An immuno-36 informatics approach along with comparative genomic was applied to design a multi-epitope-37 based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M and E 38 proteins. The tertiary structure was predicted, refined and validated using advanced 39 bioinformatics tools. The candidate vaccine showed an average of ≥ 90.0% world population 40 coverage for different ethnic groups. Molecular docking of the chimeric vaccine peptide with the 41 immune receptors (TLR3 and TLR4) predicted efficient binding. Immune simulation predicted 42 significant primary immune response with increased IgM and secondary immune response with 43 high levels of both IgG1 and IgG2. It also increased the proliferation of T-helper cells and 44 cytotoxic T-cells along with the increased INF-γ and IL-2 cytokines. The codon optimization and 45 mRNA secondary structure prediction revealed the chimera is suitable for high-level expression 46 and cloning. Overall, the constructed recombinant chimeric vaccine candidate demonstrated 47 significant potential and can be considered for clinical validation to fight against this global 48 threat, COVID-19. 49 50 51 52 53

Answer:
Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 1 etiologic agent of global pandemic COVID-19: an in silico approach 2 3