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".

[EX Q]: Paragraph: Objective: Increased hepatic expression of dipeptidyl peptidase 4 (DPP4) is associated with non-alcoholic fatty liver disease (NAFLD). Whether this is causative for the development of NAFLD is not yet clarified. Here we investigate the effect of hepatic DPP4 overexpression on the development of liver steatosis in a mouse model of diet-induced obesity. Methods: Plasma DPP4 activity of subjects with or without NAFLD was analyzed. Wild-type (WT) and liver-specific Dpp4 transgenic mice (Dpp4-Liv-Tg) were fed a high-fat diet and characterized for body weight, body composition, hepatic fat content and insulin sensitivity. In vitro experiments on HepG2 cells and primary mouse hepatocytes were conducted to validate cell autonomous effects of DPP4 on lipid storage and insulin sensitivity. Results: Subjects suffering from insulin resistance and NAFLD show an increased plasma DPP4 activity when compared to healthy controls. Analysis of Dpp4-Liv-Tg mice revealed elevated systemic DPP4 activity and diminished active GLP-1 levels. They furthermore show increased body weight, fat mass, adipose tissue inflammation, hepatic steatosis, liver damage and hypercholesterolemia. These effects were accompanied by increased expression of PPARg and CD36 as well as severe insulin resistance in the liver. In agreement, treatment of HepG2 cells and primary hepatocytes with physiological concentrations of DPP4 resulted in impaired insulin sensitivity independent of lipid content. Conclusions: Our results give evidence that elevated expression of DPP4 in the liver promotes NAFLD and insulin resistance. This is linked to reduced levels of active GLP-1, but also to auto-and paracrine effects of DPP4 on hepatic insulin signaling. (A. Schürmann). Abbreviations: Ad, adenovirus; Akt, Akt serineethreonine protein kinase; ALT, alanine aminotransferase; ApoB, apolipoprotein B; AST, aspartate aminotransferase; BAT, brown adipose tissue; CD36, fatty acid translocase; Cpt1a, carnitine palmitoyltransferase 1a; Dgat2, diacylglycerol O-acyltransferase 2; DPP4, dipeptidyl peptidase 4; Dpp4-Liv-Tg, transgenic mice with hepatocyte-specific Dpp4 overexpression; F4/80, adhesion G protein-coupled receptor E1; Gfp, green fluorescent protein; GGT, gammaglutamyl transpeptidase; GLP-1, glucagon-like peptide 1; gWAT, gonadal white adipose tissue; HFD, high-fat diet; HOMA-IR, homeostatic model assessment for insulin resistance; IL6, interleukin 6; MAPK, mitogen-activated protein kinase; MCP1, chemokine (C-C motif) ligand 2; MOGAT1, monoacylglycerol O-acyltransferase 1; NAFLD, nonalcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; NFkB, nuclear factor-kB; pAkt, phosphorylated Akt serineethreonine protein kinase; WT, wild-type; PPARg, peroxisome proliferator activated receptor gamma; rhDPP4, recombinant human dipeptidyl peptidase 4; rmDPP4, recombinant mouse dipeptidyl peptidase 4; SM, skeletal muscle; Srebf1, sterol regulatory element binding transcription factor 1; sWAT, subcutaneous white adipose tissue; TNFa, tumor necrosis factor a 
 Title: Elevated hepatic DPP4 activity promotes insulin resistance and non-alcoholic fatty liver disease
[EX A]: False

[EX Q]: Paragraph: Annotation The process of adding descriptive information to a data set and the individual data elements that comprise that data set. May include both computational analyses and manual curation. Curation The process of manually adding descriptive information or explanatory material to a data set usually based on a review of the existing literature. Database A collection of information, usually stored electronically on a computer. Database, hierarchical (XML) Extensible markup language. A formally defined hierarchical organization of data. A database software package designed to operate on a particular computer platform and operating system. Database schema A map of the database structure, including all of the fields, tables, and relationships that comprise the framework for storage of information within that database. Database, relational A database structure that provides the ability to define formal relationships between all data elements stored within the database. Ontology A controlled vocabulary used to formally describe (for our purposes) a biological process or entity. SQL Structured Query Language. A computer language used to query relational databases for information. 
 Title: Virus Databases
[EX A]: False

[EX Q]: Paragraph: Background: Italy is bearing the brunt of the COVID-19 pandemic, as the death toll there has already surpassed that in Wuhan, the city in China where the coronavirus emerged in December 2019. Here we employ statistical methods to assess the severity of COVID-19 pandemic across different regions of Italy. We manually retrieved the daily cumulative numbers of laboratory-confirmed cases and deaths attributed to COVID-19 stratified by region in Italy from March 2, 2020 to March 28, 2020. We estimated both the crude and time-delay adjusted case fatality ratio across five geographic regions of Italy: Northwest, Northeast, Center, South and Island. : The Northwest that includes Lombardy exhibited the highest time-delay-adjusted CFR at 31.4%% [95% credible interval: 30.8, 32.1%] followed by the Northeast (20.3%) [95% CrI: 19.4, 21.1], the Center region (16.5%) [95% CrI: 15.4, 17.7] and the South region (16.8%) [95% CrI: 15.0, 18.7]. The Island region has exhibited the lowest CFR (11.8%) [95% CrI: 9.0, 14.8]. Conclusion: Italy is experiencing one of the highest CFR from the COVID-19 pandemic in the world. Time delay adjusted CFR in all the regions in Italy except the Island region were higher than that estimated for Wuhan, China. The CFR in Northwest Italy is 2.5-fold higher than that in Wuhan. Our finding reflects the need of urgent medical support in the Northwest region and the appropriate planning and supplies procurement in other regions of Italy with . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity. is the (which was not peer-reviewed) The copyright holder for this preprint . 
 Title: Title: Spatial variability in the risk of death from COVID-19 in Italy, 2020
[EX A]:
False