Fast accurate quantification of salivary cortisol and cortisone in a large-scale clinical stress study by micro-UHPLC-ESI-MS/MS using a surrogate calibrant approach

There is an increasing interest in the analysis of salivary biomarkers for medical practice. The objective of this article was to identify the specificity and sensitivity of quantification methods used in biosensors or portable devices for the determination of salivary cortisol and salivary a-amylase. There are no biosensors and portable devices for salivary amylase and cortisol that are used on a large scale in clinical studies. These devices would be useful in assessing more real-time psychological research in the future.

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Automatic Construction and Global Optimization of a Multisentiment Lexicon

Computational Intelligence and Neuroscience ◽

10.1155/2016/2093406 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Xiaoping Yang ◽

Zhongxia Zhang ◽

Zhongqiu Zhang ◽

Yuting Mo ◽

Lianbei Li ◽

...

Keyword(s):

Global Optimization ◽

Large Scale ◽

Language Model ◽

Superior Performance ◽

Optimization Framework ◽

Test Intensity ◽

Sentiment Lexicon ◽

Classification Tasks ◽

Network Language ◽

Accurate Quantification

Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of domain sentiment lexicons (Wang et al., 2010). This paper implements statistical training for large-scale Chinese corpus through neural network language model and proposes an automatic method of constructing a multidimensional sentiment lexicon based on constraints of coordinate offset. In order to distinguish the sentiment polarities of those words which may express either positive or negative meanings in different contexts, we further present a sentiment disambiguation algorithm to increase the flexibility of our lexicon. Lastly, we present a global optimization framework that provides a unified way to combine several human-annotated resources for learning our 10-dimensional sentiment lexicon SentiRuc. Experiments show the superior performance of SentiRuc lexicon in category labeling test, intensity labeling test, and sentiment classification tasks. It is worth mentioning that, in intensity label test, SentiRuc outperforms the second place by 21 percent.

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Daily salivary cortisol profile: Insights from the Croatian Late Adolescence Stress Study (CLASS)

Biochemia Medica ◽

10.11613/bm.2016.043 ◽

2016 ◽

pp. 408-420 ◽

Cited By ~ 5

Author(s):

Daniela Šupe-Domić ◽

Goran Milas ◽

Irena Drmić Hofman ◽

Lada Rumora ◽

Irena Martinović Klarić

Keyword(s):

Salivary Cortisol ◽

Late Adolescence ◽

Stress Study

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Effects of high-intense resistance training on salivary cortisol in trained individuals: a systematic review (Efectos del entrenamiento de resistencia de alta intensidad sobre el cortisol salival en individuos entrenados: una revisión sistemática)

Retos ◽

10.47197/retos.v0i41.82770 ◽

2021 ◽

pp. 265-271

Author(s):

Rogério Santos Aguiar ◽

Gustavo Casimiro Lopes ◽

Juliana Brandão Pinto de Castro ◽

Vitor Ayres Prince ◽

Mauro Lúcio Mazini Filho ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Resistance Training ◽

Salivary Cortisol ◽

Large Scale ◽

High Intensity Training ◽

Saliva Cortisol ◽

Revisión Sistemática ◽

Cortisol Levels ◽

Meta Analyses

This study aimed to evaluate the effects of high-intensity training (HIT) on salivary cortisol levels in physically trained individuals. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The search for scientific articles was carried out on the Scopus and MEDLINE (via PubMed) databases with the terms resistance training, saliva, cortisol, and their synonyms. We included interventions with high-intense resistance training that analyzed the salivary cortisol levels in physically trained men and women. From the 399 articles found, eight studies met the inclusion criteria. A population of 135 physically trained men and 12 women is with an average age of 23.26 ± 3.10 years, body mass of 85.53 ± 12.68 kg, and height of 1.80 ± 0.04 m. The intervention period ranged from 3 to 15 weeks with the use of 1 to 5 sets of 5 to 10 repetitions. Most protocols have been shown to provide significant stimuli to increase the level of cortisol acutely (p<0.05). The practice of HIT seems to be an effective intervention to stimulate the increase in acute and chronic salivary cortisol levels and thus induce possible changes in physiological and hormonal levels. Moreover, cortisol seems to represent physical activity in some populations and may be useful in monitoring physiology in large-scale observational physical activity surveys. However, more research is needed to elucidate the effects of HIT on cortisol and adaptive results. Resumen. Este estudio tuvo como objetivo evaluar los efectos del entrenamiento de alta intensidad sobre los niveles de cortisol salival en individuos entrenados físicamente. Esta revisión sistemática siguió las recomendaciones de PRISMA. La búsqueda de artículos científicos se realizó en las bases Scopus y MEDLINE (vía PubMed) con los términos entrenamiento de resistencia, saliva, cortisol y sus sinónimos. Se incluyeron intervenciones con entrenamiento de resistencia de alta intensidad que analizaron los niveles de cortisol salival en hombres y mujeres entrenados físicamente. De los 399 artículos encontrados, ocho estudios cumplieron los criterios de inclusión. Una población de 135 hombres entrenados físicamente y 12 mujeres tiene una edad de 23,26±3,10 años, masa corporal de 85,53±12,68 kg y altura de 1,80±0,04 m. El período de intervención varió de 3 a 15 semanas con el uso de 1 a 5 series de 5 a 10 repeticiones. Se ha demostrado que la mayoría de los protocolos proporcionan estímulos significativos para aumentar el nivel de cortisol de forma aguda (p<0,05). La práctica de entrenamiento de alta intensidad parece ser una intervención eficaz para estimular el aumento de los niveles de cortisol salival agudo y crónico y así inducir posibles cambios en los niveles fisiológicos y hormonales. Además, el cortisol parece representar la actividad física en algunas poblaciones y puede ser útil para monitorear la fisiología en encuestas observacionales de actividad física a gran escala. Sin embargo, se necesita más investigación para dilucidar los efectos de entrenamiento de alta intensidad sobre el cortisol y los resultados adaptativos.

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Assessing salivary cortisol in large-scale, epidemiological research

Psychoneuroendocrinology ◽

10.1016/j.psyneuen.2009.06.011 ◽

2009 ◽

Vol 34 (10) ◽

pp. 1423-1436 ◽

Cited By ~ 442

Author(s):

Emma K. Adam ◽

Meena Kumari

Keyword(s):

Salivary Cortisol ◽

Large Scale ◽

Epidemiological Research

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On the Need to Determine Accurately the Impact of Higher-Order Sensitivities on Model Sensitivity Analysis, Uncertainty Quantification and Best-Estimate Predictions

Energies ◽

10.3390/en14196318 ◽

2021 ◽

Vol 14 (19) ◽

pp. 6318

Author(s):

Dan Gabriel Cacuci

Keyword(s):

Sensitivity Analysis ◽

Uncertainty Quantification ◽

Confidence Intervals ◽

Large Scale ◽

Neutron Transport ◽

Higher Order ◽

High Order ◽

Tolerance Limits ◽

Scale Models ◽

Accurate Quantification

This work aims at underscoring the need for the accurate quantification of the sensitivities (i.e., functional derivatives) of the results (a.k.a. “responses”) produced by large-scale computational models with respect to the models’ parameters, which are seldom known perfectly in practice. The large impact that can arise from sensitivities of order higher than first has been highlighted by the results of a third-order sensitivity and uncertainty analysis of an OECD/NEA reactor physics benchmark, which will be briefly reviewed in this work to underscore that neglecting the higher-order sensitivities causes substantial errors in predicting the expectation and variance of model responses. The importance of accurately computing the higher-order sensitivities is further highlighted in this work by presenting a text-book analytical example from the field of neutron transport, which impresses the need for the accurate quantification of higher-order response sensitivities by demonstrating that their neglect would lead to substantial errors in predicting the moments (expectation, variance, skewness, kurtosis) of the model response’s distribution in the phase space of model parameters. The incorporation of response sensitivities in methodologies for uncertainty quantification, data adjustment and predictive modeling currently available for nuclear engineering systems is also reviewed. The fundamental conclusion highlighted by this work is that confidence intervals and tolerance limits on results predicted by models that only employ first-order sensitivities are likely to provide a false sense of confidence, unless such models also demonstrate quantitatively that the second- and higher-order sensitivities provide negligibly small contributions to the respective tolerance limits and confidence intervals. The high-order response sensitivities to parameters underlying large-scale models can be computed most accurately and most efficiently by employing the high-order comprehensive adjoint sensitivity analysis methodology, which overcomes the curse of dimensionality that hampers other methods when applied to large-scale models involving many parameters.

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A Mini Review on Capillary Isoelectric Focusing-Mass Spectrometry for Top-Down Proteomics

Frontiers in Chemistry ◽

10.3389/fchem.2021.651757 ◽

2021 ◽

Vol 9 ◽

Author(s):

Tian Xu ◽

Liangliang Sun

Keyword(s):

Mass Spectrometry ◽

High Resolution ◽

Isoelectric Focusing ◽

Large Scale ◽

Protein Characterization ◽

Capillary Isoelectric Focusing ◽

Top Down ◽

Esi Ms ◽

Highly Sensitive

Mass spectrometry (MS)-based top-down proteomics (TDP) requires high-resolution separation of proteoforms before electrospray ionization (ESI)-MS and tandem mass spectrometry (MS/MS). Capillary isoelectric focusing (cIEF)-ESI-MS and MS/MS could be an ideal method for TDP because cIEF can enable separation of proteoforms based on their isoelectric points (pIs) with ultra-high resolution. cIEF-ESI-MS has been well-recognized for protein characterization since 1990s. However, the widespread adoption of cIEF-MS for the characterization of proteoforms had been impeded by several technical challenges, including the lack of highly sensitive and robust ESI interface for coupling cIEF to MS, ESI suppression of analytes from ampholytes, and the requirement of manual operations. In this mini review, we summarize the technical improvements of cIEF-ESI-MS for characterizing proteoforms and highlight some recent applications to hydrophobic proteins, urinary albumin variants, charge variants of monoclonal antibodies, and large-scale TDP of complex proteomes.

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