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: Gene expression studies require appropriate normalization methods for proper evaluation of reference genes. To date, not many studies have been reported on the identification of suitable reference genes in buffaloes. The present study was undertaken to determine the panel of suitable reference genes in heat-stressed buffalo mammary epithelial cells (MECs). Briefly, MEC culture from buffalo mammary gland was exposed to 42 ∘ C for one hour and subsequently allowed to recover at 37 ∘ C for different time intervals (from 30 m to 48 h). Three different algorithms, geNorm, NormFinder, and BestKeeper softwares, were used to evaluate the stability of 16 potential reference genes from different functional classes. Our data identified RPL4, EEF1A1, and RPS23 genes to be the most appropriate reference genes that could be utilized for normalization of qPCR data in heat-stressed buffalo MECs.
Example Output: Identification of Appropriate Reference Genes for qRT-PCR Analysis of Heat-Stressed Mammary Epithelial Cells in Riverine Buffaloes (Bubalus bubalis)

Example Input: Human metapneumovirus (hMPV) and respiratory syncytial virus (RSV) are important respiratory pathogens with similar symptomatology. The aim of this prospective birth cohort study was to identify risk factors for an hMPV or RSV infection during the first year of life in unselected healthy children. We followed 217 children from birth to 1 year of age. Nasal swabs and symptom diaries were collected monthly. Anti-hMPV and anti-RSV IgG antibodies by age 1 year were detected by ELISA, and nasal swabs were analysed for hMPV and RSV by RT-PCR. Logistic regression was used for risk factor analysis. Anti-hMPV IgG was found in 38 children (17.5%), and anti-RSV IgG in 172 children (79%). Risk factors for being anti-hMPV IgG-positive were: (1) being born in the spring (OR =2.36; 95% CI:1.06-5.27), and (2) having older siblings (OR=3.82; 95% CI:1.75-8.34). Risk factors for being anti-RSV IgG-positive were: (1) gestational age <38 weeks (OR=3.39; 95% CI:1.42-8.05), (2) increasing paternal age (OR=1.85 per 5 yrs; 95% CI:1.28-2.68), and (3) wall-to-wall carpeting (OR=3.15; 95% CI:1.29-7.68). Being born in the spring was associated with decreased odds of being anti-RSV IgG-positive (OR=0.27, 95% CI:0.09-0.85). Risk factors for RSV hospitalisation (n= 11) were: (1) older siblings (OR=4.49; 95% CI: 1.08-18.73) and (2) smoking in the household (OR=5.06; 95% CI: 1.36-18.76). Exclusive breastfeeding for the first 14 days of life protected against hospitalisation (OR= 0.21; 95% CI:0.06-0.79). In conclusion, this study identifies risk factors for mild and asymptomatic hMPV infections in infancy. Abbreviations hMPV human metapneumovirus RSV respiratory syncytial virus OR odds ratio PBS phosphate-buffered saline NPA nasopharyngeal aspirate RT-PCR reverse transcription-polymerase chain reaction ELISA enzyme-linked immunosorbent assay RT room temperature M-PBS PBS with 2% skim-milk powder HRP horseradish peroxidase TMB tetramethyl benzidine OD optical density SD standard deviation PDV Phocine Distemper Virus Eur
Example Output: A community study of clinical traits and risk factors for human metapneumovirus and respiratory syncytial virus infection during the first year of life

Example Input: Human longevity is a complex phenotype with a strong genetic predisposition. Increasing evidence has revealed the genetic antecedents of human longevity. This article aims to review the data of various case/control association studies that examine the difference in genetic polymorphisms between long-lived people and younger subjects across different human populations. There are more than 100 candidate genes potentially involved in human longevity; this article particularly focuses on genes of the insulin/IGF-1 pathway, FOXO3A, FOXO1A, lipoprotein metabolism (e.g., APOE and PON1), and cell-cycle regulators (e.g., TP53 and P21). Since the confirmed genetic components for human longevity are few to date, further precise assessment of the genetic contributions is required. Gaining a better understanding of the contribution of genetics to human longevity may assist in the design of improved treatment methods for age-related diseases, delay the aging process, and, ultimately, prolong the human lifespan.
Example Output:
The role of genetic variants in human longevity