Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Example Input: The tumor susceptibility gene 101 (TSG101) was originally identified as a tumor-suppressor gene that mediates many molecular and biological processes, such as ubiquitination, endosomal trafficking, cell survival, and virus budding, but its role in hepatocellular carcinoma (HCC) is currently unknown.', 'We assessed the expression of TSG101 in HCC and paracancerous tissues using qPCR. Then, we used the TSG101-specific siRNA mix to disrupt the expression of TSG101 to investigate the subsequent effect on human hepatoma-7 (Huh7) cells. Western blot was used to detect the protein expression of TSG101 and other molecules. Cell growth assay was performed using CCK8. Transwell assay was used to investigate the migration and invasion ability of Huh7 cells after transfection with of TSG101 siRNA. Flow cytometry was used to estimate the effect of TSG101 knockdown on cell cycle and apoptosis. Confocal laser scanning microscopy was used to observe the actin filaments change and the formation of autophagy.', 'TSG101 was over-expressed in HCC tissues. TSG101 silence was able to suppress Huh7 cell proliferation, migration, and invasion. Furthermore, silencing of TSG101 could induce cell cycle arrest at G1 phase and inhibit the expression of cyclin A and cyclin D, while up-regulating the expression of CDK2. The mechanism might be induction of autophagic cell death and inactivation of Akt and ERK1/2.
Example Output: Does tSG101 Silencing suppress Hepatocellular Carcinoma Cell Growth by Inducing Cell Cycle Arrest and Autophagic Cell Death?

Example Input: Anxiety and depression frequently co-occur in the elderly and in patients with dementia. Prior research has shown that depression is related to the risk of dementia, but the effect of anxiety on dementia remains unclear. We studied whether anxiety symptoms and anxiety disorders are associated with the risk of dementia and cognition.', 'We studied 2,708 nondemented participants from the prospective, population-based Rotterdam Study who underwent the Hospital Anxiety and Depression Scale (HADS) (sample I, baseline 1993-1995) and 3,069 nondemented participants who underwent screening for anxiety disorders (sample II, baseline 2002-2004). In 1993-1995, anxiety symptoms were assessed using the HADS. In 2002-2004, anxiety disorders were assessed using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. In both study samples, participants were continuously monitored for dementia until January 1, 2011. Cognition was tested in 2002-2004 and at a follow-up visit in 2009-2011 in sample II only.', 'In sample I, 358 persons developed dementia, and in sample II, 248 persons developed dementia. We did not find an association with the risk of dementia for anxiety symptoms (hazard ratio 1.05, 95% confidence interval: 0.77-1.43, Wald statistic 0.08, p= 0.77, df= 1) or for anxiety disorders (hazard ratio 0.92, 95% confidence interval: 0.58-1.45, Wald statistic 0.14, p= 0.71, df= 1). We could demonstrate an association of anxiety disorders with poor cognition cross-sectionally, but this attenuated after additional adjustments.
Example Output: Is anxiety associated with the risk of dementia or cognitive decline : the Rotterdam Study?

Example Input: To investigate whether single nucleotide polymorphisms (SNP) of drug transporter proteins for TDF is a risk factor for TDF-related renal function decrement.', "This study investigated the association between 3 SNPs (ABCC2-24, 1249, and ABCB1 2677), which are shown to be associated with TDF-induced tubulopathy, and clinically important renal outcomes (>10ml/min/1.73m2 decrement in eGFR relative to baseline, >25% decrement in eGFR, and eGFR <60ml/min/1.73m2) in 703 HIV-1-infected Japanese patients who initiated TDF-containing antiretroviral therapy (ART). Genotyping was performed by allelic discrimination using TaqMan 5'-nuclease assays.", '95% of the study patients were males and 66% were treatment-naive, with median CD4 count of 249/l, median baseline eGFR of 96ml/min/1.73m2 (IQR 84.6-109.2), and median exposure to TDF of 3.66 years (IQR 1.93-5.59). The frequencies of genotypes at -24, 1249 of ABCC2, and 2677 of ABCB1 were neither different between patients with decrement in eGFR of >10ml/min/1.73m2 and those without such decrement (ABCC2: -24, p = 0.53, 1249, p = 0.68; ABCB1: 2677, p = 0.74), nor between those without and with the other two renal outcomes (>25% decrement: ABCC2: -24, p = 0.83, 1249, p = 0.97, ABCB1: 2677, p = 0.40; eGFR <60ml/min/1.73m2: ABCC2: -24, p = 0.51, 1249, p = 0.81, ABCB1: 2677, p = 0.94). Logistic regression analysis showed that the risk genotype of the three SNPs were not associated with any of the three renal outcomes, respectively. Logistic regression model that applied either dominant, recessive, or additive model yielded the same results.
Example Output:
Are drug Transporter Genetic Variants Associated with TDF-Related Renal Dysfunction in Patients with HIV-1 Infection : A Pharmacogenetic Study?