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 Input: Polymorphism of angiotensin converting enzyme (ACE) gene is reported to be associated with ischemic heart disease, hypertrophic cardiomyopathy, and idiopathic dilated cardiomyopathy. In this study, we investigated the relationship between Kawasaki disease and insertion/deletion polymorphism of ACE gene. Fifty five Kawasaki disease patients and 43 healthy children were enrolled. ACE genotype was evaluated from each of the subjects' DNA fragments through polymerase chain reaction (PCR). Frequencies of ACE genotypes (DD, ID, II) were 12.7%, 60.0%, 27.3% in Kawasaki group, and 41.9%, 30.2%, 27.9% in control group respectively, indicating low rate of DD and high rate of ID genotype among Kawasaki patients (p<0.01). Comparing allelic (I, D) frequencies, I allele was more prevalent in Kawasaki group than in control group (57.3% vs. 43.0%, p<0.05). In Kawasaki group, both genotype and allelic frequencies were not statistically different between those with coronary dilatations and those without. ACE gene I/D polymorphism is thought to be associated with Kawasaki disease but not with the development of coronary dilatations.
Example Output: Address for correspondence Insertion/Deletion Polymorphism of Angiotensin Converting Enzyme Gene in Kawasaki Disease

Example Input: Background: Despite the seriousness of dengue-related disease, with an estimated 50-100 million cases of dengue fever and 250,000-500,000 cases of dengue hemorrhagic fever/dengue shock syndrome each year, a clear understanding of dengue pathogenesis remains elusive. Because of the lack of a disease model in animals and the complex immune interaction in dengue infection, the study of host response and immunopathogenesis is difficult. The development of genomics technology, microarray and high throughput quantitative PCR have allowed researchers to study gene expression changes on a much broader scale. We therefore used this approach to investigate the host response in dengue virusinfected cell lines and in patients developing dengue fever. Methodology/Principal Findings: Using microarray and high throughput quantitative PCR method to monitor the host response to dengue viral replication in cell line infection models and in dengue patient blood samples, we identified differentially expressed genes along three major pathways; NF-kB initiated immune responses, type I interferon (IFN) and the ubiquitin proteasome pathway. Among the most highly upregulated genes were the chemokines IP-10 and I-TAC, both ligands of the CXCR3 receptor. Increased expression of IP-10 and I-TAC in the peripheral blood of ten patients at the early onset of fever was confirmed by ELISA. A highly upregulated gene in the IFN pathway, viperin, was overexpressed in A549 cells resulting in a significant reduction in viral replication. The upregulation of genes in the ubiquitin-proteasome pathway prompted the testing of proteasome inhibitors MG-132 and ALLN, both of which reduced viral replication. Conclusion/Significance: Unbiased gene expression analysis has identified new host genes associated with dengue infection, which we have validated in functional studies. We showed that some parts of the host response can be used as potential biomarkers for the disease while others can be used to control dengue viral replication, thus representing viable targets for drug therapy.
Example Output: Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients

Example Input: Background: Estimating the prevalence of severe or critical illness and case fatality of 19 outbreak in December, 2019 remains a challenge due to biases associated with surveillance, 25 data synthesis and reporting. We aimed to address this limitation in a systematic review and 26 meta-analysis and to examine the clinical, biochemical and radiological risk factors in a meta-27 regression. 28 Methods: PRISMA guidelines were followed. PubMed, Scopus and Web of Science were 29 searched using pre-specified keywords on March 07, 2020. Peer-reviewed empirical studies 30 examining rates of severe illness, critical illness and case fatality among COVID-19 patients 31 were examined. Numerators and denominators to compute the prevalence rates and risk factors 32 were extracted. Random-effects meta-analyses were performed. Results were corrected for 33 publication bias. Meta-regression analyses examined the moderator effects of potential risk 34 factors. 35 Results: The meta-analysis included 29 studies representing 2,090 individuals. Pooled rates of 36 severe illness, critical illness and case fatality among COVID-19 patients were 15%, 5% and 37 0.8% respectively. Adjusting for potential underreporting and publication bias, increased these 38 estimates to 26%, 16% and 7.4% respectively. Increasing age and elevated LDH consistently 39 predicted severe / critical disease and case fatality. Hypertension; fever and dyspnea at 40 presentation; and elevated CRP predicted increased severity. 41 Conclusions: Risk factors that emerged in our analyses predicting severity and case fatality 42 should inform clinicians to define endophenotypes possessing a greater risk. Estimated case 43 All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity. : medRxiv preprint 3 fatality rate of 7.4% after correcting for publication bias underscores the importance of strict 44 adherence to preventive measures, case detection, surveillance and reporting. 45 46 A novel corona virus, first identified in Wuhan, China in late 2019, resulted in a 64 pandemic by the first quarter of 2020, contributed by the prolonged survival of the virus in the 65 environment and extended length of pre-or post-symptomatic and potential asymptomatic 66 shedding. 1-4 While the virus is known to cause only a mild illness in a majority, severe illness 67 characterized by respiratory distress requiring hospital admission is not uncommon. 5 68 Furthermore, the virus has the potential to precipitate a life-threatening critical illness, 69 characterized by respiratory failure, circulatory shock, sepsis or other organ failure, requiring 70 intensive care. 6, 7
Example Output:
Title Case fatality rate in COVID-19: a systematic review and meta-analysis