In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".

Ex Input:
Abstract: Autophagy is a recently recognized immune effector mechanism against intracellular pathogens. The role of autophagy in innate immunity has been well established, but the extent of its regulation by the adaptive immune response is less well understood. The T helper 1 (Th1) cell cytokine IFN-gamma induces autophagy in macrophages to eliminate Mycobacterium tuberculosis. Here, we report that Th2 cytokines affect autophagy in macrophages and their ability to control intracellular M. tuberculosis. IL-4 and IL-13 abrogated autophagy and autophagy-mediated killing of intracellular mycobacteria in murine and human macrophages. Inhibition of starvation-induced autophagy by IL-4 and IL-13 was dependent on Akt signaling, whereas the inhibition of IFN-gamma-induced autophagy was Akt independent and signal transducer and activator of transcription 6 (STAT6) dependent. These findings establish a mechanism through which Th1-Th2 polarization differentially affects the immune control of intracellular pathogens.. Title: Functional in vivo interactions between JNK1 and JNK2 isoforms in obesity and insulin resistance.

Ex Output:
no

Ex Input:
Abstract: Diet-related adaptive gene (DRAG) polymorphisms identified in specific populations are associated with chronic disorders in carriers of the adaptive alleles due to changes in dietary and lifestyle patterns in recent times. Mexico's population is comprised of Amerindians (AM) and Mestizos who have variable AM, European (EUR) and African genetic ancestry and an increased risk of nutrition-related chronic diseases. Nutritional advice based on the Mexican genome and the traditional food culture is needed to develop preventive and therapeutic strategies. Therefore, we aimed to provide a prevalence profile of several DRAG polymorphisms in the Mexican population, including Central West (CW) Mexico subpopulations. Geographic heat maps were built using ArcGIS10 (Esri, Redlands, CA, USA) software, based on the published data of the MTHFR C677T (rs1801133), ABCA1 Arg230Cys (rs9282541), APOE T388C (rs429358)/C526T (rs7412), LCT C-13910T (rs4988235) polymorphisms and AMY1 copy number variation (CNV). Also, new data obtained by allelic discrimination-real-time polymerase chain reaction (RT-PCR) assays for the MTHFR, ABCA1, and APOE polymorphisms as well as the AMY1 CNV in the CW Mexico subpopulations with different proportions of AM and EUR ancestry were included. In the CW region, the highest frequency of the MTHFR 677T, ABCA1 230C and APOE 4 adaptive alleles was observed in the AM groups, followed by Mestizos with intermediate AM ancestry. The LCT-13910T allele frequency was highest in Mestizos-EUR but extremely low in AM, while the AMY1 diploid copy number was 6.82 3.3 copies. Overall, the heat maps showed a heterogeneous distribution of the DRAG polymorphisms, in which the AM groups revealed the highest frequencies of the adaptive alleles followed by Mestizos. Given these genetic differences, genome-based nutritional advice should be tailored in a regionalized and individualized manner according to the available foods and Mexican traditional food culture that may lead to a healthier dietary pattern.. Title: Tailoring Nutritional Advice for Mexicans Based on Prevalence Profiles of Diet-Related Adaptive Gene Polymorphisms

Ex Output:
yes

Ex Input:
Abstract: BACKGROUND Many patients with lung cancer report delays in diagnosing their disease. This may contribute to advanced stage at diagnosis and poor long term survival. This study explores the delays experienced by patients referred to a regional cancer centre with lung cancer.
METHODS A prospective cohort of patients referred with newly diagnosed lung cancer were surveyed over a 3 month period to assess delays in diagnosis. Patients were asked when they first experienced symptoms, saw their doctor, what tests were done, when they saw a specialist and when they started treatment. Descriptive statistics were used to summarize the different time intervals.
RESULTS 56 of 73 patients consented (RR 77%). However only 52 patients (30M, 22F) were interviewed as 2 died before being interviewed and two could not be contacted. The mean age was 68yrs. Stage distribution was as follows (IB/IIA 10%, stage IIIA 20%, IIIB/IV 70%). Patients waited a median of 21 days (iqr 7-51d) before seeing a doctor and a further 22d (iqr 0-38d) to complete any investigations. The median time from presentation to specialist referral was 27d (iqr 12-49d) and a further 23.5d (iqr 10-56d) to complete investigations. The median wait to start treatment once patients were seen at the cancer centre was 10d (iqr 2-28d). The overall time from development of first symptoms to starting treatment was 138d (iqr 79-175d).
CONCLUSIONS Lung cancer patients experience substantial delays from development of symptoms to first initiating treatment. There is a need to promote awareness of lung cancer symptoms and develop and evaluate rapid assessment clinics for patients with suspected lung cancers.. Title: Delays in the diagnosis of lung cancer.

Ex Output:
yes