TASK DEFINITION: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
PROBLEM: Paragraph: To provide optimal cut-off values of anti-Middle East respiratory syndrome coronavirus (MERS-CoV) serologic tests, we evaluated performance of ELISA IgG, ELISA IgA, IFA IgM, and IFA IgG using 138 serum samples of 49 MERS-CoV-infected patients and 219 serum samples of 219 rRT-PCR-negative MERS-CoV-exposed healthcare personnel and patients. The performance analysis was conducted for two different purposes: (1) prediction of neutralization activity in MERS-CoV-infected patients, and (2) epidemiologic surveillance of MERS-CoV infections among MERS-CoV-exposed individuals. To evaluate performance according to serum collection time, we used 'days post onset of illness (dpoi)' and 'days post exposure (dpex)' assessing neutralization activity and infection diagnosis, respectively. Performance of serologic tests improved with delayed sampling time, being maximized after a seroconversion period. In predicting neutralization activity, ELISA IgG tests showed optimal performance using sera collected after 21 dpoi at cut-off values of OD ratio 0.4 (sensitivity 100% and specificity 100%), and ELISA IgA showed optimal performance using sera collected after 14 dpoi at cut-off value of OD ratio 0.2 (sensitivity 85.2% and specificity 100%). In diagnosis of MERS-CoV infection, ELISA IgG exhibited optimal performance using sera collected after 28 dpex, at a cut-off value of OD ratio 0.2 (sensitivity 97.3% and specificity 92.9%). These new breakpoints are markedly lower than previously suggested values (ELISA IgG OD ratio 1.1, sensitivity 34.8% and specificity 100% in the present data set), and the performance data help serologic tests to be practically used in the field of MERS management. 
 Title: Suggested new breakpoints of anti-MERS-CoV antibody ELISA titers: performance analysis of serologic tests

SOLUTION: True

PROBLEM: Paragraph: DNA vaccines present one of the most cost-effective platforms to develop global vaccines, which have been tested for nearly three decades in preclinical and clinical settings with some success in the clinic. However, one of the major challenges for the development of DNA vaccines is their poor immunogenicity in humans, which has led to refinements in DNA delivery, dosage in prime/boost regimens and the inclusion of adjuvants to enhance their immunogenicity. In this review, we focus on adjuvants that can enhance the immunogenicity of DNA encoded antigens and highlight the development of a novel cytolytic DNA platform encoding a truncated mouse perforin. The application of this innovative DNA technology has considerable potential in the development of effective vaccines. 
 Title: vaccines Cytolytic Perforin as an Adjuvant to Enhance the Immunogenicity of DNA Vaccines

SOLUTION: True

PROBLEM: Paragraph: Transmissible gastroenteritis virus (TGEV) is a member of Coronaviridae family. TGEV infection has emerged as a major cause of severe gastroenteritis and leads to alterations of many cellular processes. Meanwhile, the pathogenic mechanism of TGEV is still unclear. microRNAs (miRNAs) are a novel class of small non-coding RNAs which are involved in the regulation of numerous biological processes such as viral infection and cell apoptosis. Accumulating data show that miRNAs are involved in the process of coronavirus infection such as replication of severe acute respiratory syndrome coronavirus (SARS-CoV). However, the link between miRNAs and TGEV infection is unknown. In this study, we performed microRNA microarray assay and predicted targets of altered miRNAs. The results showed TGEV infection caused the change of miRNAs profile. Then we selected miR-4331 for further analysis and subsequently identified cell division cycle-associated protein 7 (CDCA7) as the target of miR-4331. Moreover, miR-4331 showed the ability to inhibit transcription of TGEV gene 7 (a non-structure gene) via directly targeting CDCA7. In conclusion, differentially expressed miR-4331 that is caused by TGEV infection can suppress transcription of TGEV gene 7 via targeting cellular CDCA7. Our key finding is that TGEV selectively manipulates the expression of some cellular miRNAs to regulate its subgenomic transcription. 
 Title: Transmissible Gastroenteritis Virus (TGEV) Infection Alters the Expression of Cellular MicroRNA Species That Affect Transcription of TGEV Gene 7

SOLUTION:
False