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.
Example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Example solution: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Example explanation: It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.

Problem: Background: current tools to predict the severity of respiratory syncytial virus (RsV) infection might be improved by including immunological parameters. We hypothesized that a combination of inflammatory markers would differentiate between severe and mild disease in RsV-infected children. Methods: Blood and nasopharyngeal samples from 52 RsVinfected children were collected during acute infection and after recovery. Retrospectively, patients were categorized into three groups based on disease severity: mild (no supportive treatment), moderate (supplemental oxygen and/or nasogastric feeding), and severe (mechanical ventilation). clinical data, number of flow-defined leukocyte subsets, and cytokine concentrations were compared. results: children with severe RsV infection were characterized by young age; lymphocytopenia; increased interleukin (IL)-8, granulocyte colony-stimulating factor (G-csF), and IL-6 concentrations; and decreased chemokine (c-c motif ) ligand (ccL-5) concentrations in plasma. The combination of plasma levels of IL-8 and ccL-5, and cD4 + T-cell counts, with cutoff values of 67 pg/ml, 13 ng/ml, and 2.3 10 6 /ml, respectively, discriminated severe from mild RsV infection with 82% sensitivity and 96% specificity. conclusion: This study demonstrates that the combination of cD4 + T-cell counts and IL-8 and ccL-5 plasma concentrations correlates with disease severity in RsV-infected children. In addition to clinical features, these immunological markers may be used to assess severity of RsV infection and guide clinical management.
Solution: cd4 + t-cell counts and interleukin-8 and ccl-5 plasma concentrations discriminate disease severity in children with rsV infection RSV Monoinfection Is Associated With Disease Severity, Irrespective of Viral Load