RNAprotect Saliva: An Optimal Room- Temperature Stabilization Reagent for the Salivary Transcriptome

Park, Noh Jin; Yu, Tianwei; Nabili, Vishad; Brinkman, Brigitta M. N.; Henry, Sharon; Wang, Jianghua; Wong, David T.

doi:10.1373/clinchem.2006.075598

Cited by 51 publications

(53 citation statements)

References 3 publications

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“…Similarly, salivary cortisol was not altered by SD (0.254 Ϯ 0.06 g/dl) compared with untreated circadian-matched controls (0.251 Ϯ 0.06 g/dl), indicating that stress is also an unlikely explanation for the changes in Amylase in humans (n ϭ 9). Recent reports indicate that mRNA from cell-free saliva extracts can be used to identify biomarkers of disease (25). Therefore, we evaluated Amylase mRNA levels in our sleepdeprived subjects.…”

Section: Resultsmentioning

confidence: 99%

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Identification of a biomarker for sleep drive in flies and humans

Seugnet

Boero

Gottschalk

et al. 2006

Proc. Natl. Acad. Sci. U.S.A.

105

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It is a common experience to sacrifice sleep to meet the demands of our 24-h society. Current estimates reveal that as a society, we sleep on average 2 h less than we did 40 years ago. This level of sleep restriction results in negative health outcomes and is sufficient to produce cognitive deficits and reduced attention and is associated with increased risk for traffic and occupational accidents. Unfortunately, there is no simple quantifiable marker that can detect an individual who is excessively sleepy before adverse outcomes become evident. To address this issue, we have developed a simple and effective strategy for identifying biomarkers of sleepiness by using genetic and pharmacological tools that dissociate sleep drive from wake time in the model organism Drosophila melanogaster. These studies have identified a biomarker, Amylase, that is highly correlated with sleep drive. More importantly, both salivary Amylase activity and mRNA levels are also responsive to extended waking in humans. These data indicate that the fly is relevant for human sleep research and represents a first step in developing an effective method for detecting sleepiness in vulnerable populations.Drosophila ͉ saliva ͉ sleep deprivation I t has been suggested that forced and self-inflicted sleep loss have reached epidemic proportions in Western industrialized populations (1, 2), costing billions of dollars in lost productivity and creating hazardous conditions on our roadways (3), in our skies (4), and in our hospitals (5). The National Highway Traffic Safety Administration estimates that 20% of motor vehicle crashes are attributed to sleepiness and fully 37% of adult drivers report falling asleep at the wheel at some point in their lives. Moreover, both regional and long-haul pilots accumulate sleep debt during trips, fall asleep in the cockpit, and experience levels of sleepiness that are associated with performance decrements (6, 7). In the hospital setting, training demands frequently disrupt the sleep of medical residents, which is then associated with increased attentional failures and medical errors (8). Indeed, after a heavy call rotation, the driving performance of medical residents was similar to those with a blood alcohol level of 0.05 g % (9) and is associated with increased risk of falling asleep while driving (10).Given the magnitude of this problem, it is not surprising that the sleep community, public health officials, and others have devoted considerable attention toward minimizing the negative impact of sleep loss on public health and safety (11). In addition to more focused basic research and increased educational campaigns to create public awareness, both regulatory and legislative initiatives have been implemented to address this problem. A general theme that has emerged from all of these efforts has been the importance of identifying a simple and quantifiable biomarker of sleepiness (11)(12)(13). A biomarker of sleepiness should be responsive to increasing levels of sleep debt and should only be activated by period...

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Section: Resultsmentioning

confidence: 99%

“…Therefore, we evaluated Amylase mRNA levels in our sleepdeprived subjects. To ensure that the integrity of mRNA was consistent between subjects, only samples with intact ␤-actin were evaluated (25). As shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Identification of a biomarker for sleep drive in flies and humans

Seugnet

Boero

Gottschalk

et al. 2006

Proc. Natl. Acad. Sci. U.S.A.

105

View full text Add to dashboard Cite

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“…In this technique, the salivary transcriptome is determined using microarrays and is validated by means of qPCR. However, low concentrations of certain biomarkers, as well as small sample volumes require innovations in technology [84].…”

Section: Clinical Application Of Salivary Diagnosis In the Era Of "Ommentioning

confidence: 99%

Salivary Diagnostics, Current Reality and Future Prospects

Silva¹,

Silva²,

Ferreira³

et al. 2015

Emerging Trends in Oral Health Sciences and Dentistry

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“…Since our initial reports we have published and accumulated an abundance of additional supporting evidence, ranging from the characterization of salivary RNA [13], over assessing salivary RNA integrity by cDNA library analysis [21], to identifying and supporting the commercialization of an effective stabilizer of RNA in whole saliva, RNAprotect® Saliva (QIAGEN) [22]. Salivary cDNA library analysis showed that none of the 117 cloned mRNAs from saliva supernatant are from a pseudogene of contaminating genomic origin.…”

Section: Salivary Transcriptomementioning

confidence: 99%

Salivary mRNA targets for cancer diagnostics

Zimmermann

Wong

2008

Oral Oncology

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Head and neck squamous cell carcinoma (HNSCC) affects almost 1 million people worldwide per year. Despite therapeutic advances the overall survival rate remains low because diagnosis often occurs only at advanced stages with poor prognosis. Like in most cancers, the implementation of an early detection scheme would have a positive impact on this disease. Similarly, as oral cancer has a very high recurrence rate, the early identification of recurrence or second primary tumors is an important challenge.HNSCC detection is currently based on expert clinical examination of the upper aerodigestive tract and histologic analysis of suspicious areas, but it may be undetectable in hidden sites, and unfortunately visual screening for oral lesions is an often neglected part of dental healthcare. Our group is actively pursuing the assembly of a toolbox for the molecular analysis of oral fluid. Here we present our current status utilizing the salivary transcriptome for oral cancer diagnostics.

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RNAprotect Saliva: An Optimal Room- Temperature Stabilization Reagent for the Salivary Transcriptome

Cited by 51 publications

References 3 publications

Identification of a biomarker for sleep drive in flies and humans

Identification of a biomarker for sleep drive in flies and humans

Salivary Diagnostics, Current Reality and Future Prospects

Salivary mRNA targets for cancer diagnostics

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