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Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features

Adrian Ion-Mărgineanu, Gabriel Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
2017 Frontiers in Neuroscience  
Therefore, combining clinical data with magnetic resonance lesion loads and metabolic features can improve the discrimination between relapsing-remitting and progressive forms.  ...  Conclusions: Our results suggest that metabolic features are better at differentiating between relapsing-remitting and primary progressive forms, while lesion loads are better at differentiating between  ...  Using linear mixed-effects models we found that the MS course is statistically significant in the evolution of four response variables: Lesion Load, NAA/Cre, NAA/Cho, and Cho/Cre ratios.  ... 
doi:10.3389/fnins.2017.00398 pmid:28744195 pmcid:PMC5504183 fatcat:7dovkh5wejd6ppsiz6epf3xbdm

Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward

Maria Geraldine Veldhuizen, Richard Keith Babbs, Barkha Patel, Wambura Fobbs, Nils B. Kroemer, Elizabeth Garcia, Martin R. Yeomans, Dana M. Small
2017 Current Biology  
Highlights x Metabolic signals determine carbohydrate reward x The association between caloric load and reinforcement potency is nonlinear x Sweet taste regulates the generation of metabolic signals x  ...  The ratio between sweetness and caloric load influences metabolic response 2 eTOC Veldhuizen et al. show that metabolic response, independent of caloric load and plasma nutrient levels, provides a critical  ...  Regardless of the mechanistic underpinnings, the regulation of carbohydrate by sweet taste, and the non-linear effect of caloric load on the metabolic signal that drives reward have important implications  ... 
doi:10.1016/j.cub.2017.07.018 pmid:28803868 pmcid:PMC5745144 fatcat:r2kqraqzlbfz3p7x4ye5ndwkxy

The effect of moderate consumption of non-nutritive sweeteners on glucose tolerance and body composition in rats

Ashley P. Tovar, James W. Navalta, Laura J. Kruskall, John C. Young
2017 Applied Physiology, Nutrition and Metabolism  
NNS treatment had no effect on weight gain or percent body fat.  ...  Epididymal fat pad mass was higher with aspartame and the ratio of trunk to total fat was less with sucralose versus control, suggesting that NNS consumption altered body fat distribution.  ...  In summary, the results of this study showed no adverse effect of low-dose aspartame or sucralose consumption on glucose metabolism.  ... 
doi:10.1139/apnm-2017-0120 pmid:28692807 fatcat:kqo54fhipffbbpo2jqr3x4tjae

Learning of Wheelchair Racing Propulsion Skills Over Three Weeks of Wheeling Practice on an Instrumented Ergometer in Able-Bodied Novices

Rick de Klerk, Gabriëlle van der Jagt, Dirkjan Veeger, Lucas van der Woude, Riemer Vegter
2022 Frontiers in Rehabilitation Sciences  
Statistically significant improvements over time were found for all outcome measures (i.e., lower metabolic strain, longer push and cycle times) with the exception of mean power and torque per push.  ...  A mixed effects regression analysis was used to examine the effect of practice for the novices, while controlling for speed. All participants finished the protocol successfully.  ...  In addition to this, we would also like to acknowledge Coen Vuijk for his advice during the conceptualization of the study.  ... 
doi:10.3389/fresc.2022.777085 fatcat:76b4n3yz5nbxtfkq2uf76rsqw4

Environmental enrichment effects after early stress on behavior and functional brain networks in adult rats

Héctor González-Pardo, Jorge L. Arias, Guillermo Vallejo, Nélida M. Conejo, Alexandra Kavushansky
2019 PLoS ONE  
Analysis of brain CCO activity showed significantly lower metabolic capacity in most brain regions selected in EE groups probably associated with chronic stress, but no effects of MS on brain metabolic  ...  Unexpectedly, results show that prolonged MS during the entire weaning period did not cause any detrimental effects on spatial learning and memory, including depressive-like behavior evaluated in the forced-swim  ...  The effects of treatment on the metabolic brain regions within animal are shown in Fig 5.  ... 
doi:10.1371/journal.pone.0226377 pmid:31830106 pmcid:PMC6907785 fatcat:b7vamr4xmzbkhmtcfzpmn2ghye

Sleep deficits but no metabolic deficits in premanifest Huntington's disease

Alpar S. Lazar, Francesca Panin, Anna O. G. Goodman, Stanley E. Lazic, Zsolt I. Lazar, Sarah L. Mason, Lorraine Rogers, Peter R. Murgatroyd, Laura P. E. Watson, Priya Singh, Beth Borowsky, John M. Shneerson (+1 others)
2015 Annals of Neurology  
Objectively measured sleep problems coincided with the development of cognitive, affective, and subtle motor deficits and were not associated with any metabolic alterations.  ...  The study consisted of 2 weeks of actigraphy at home, 2 nights of polysomnography and multiple sleep latency tests in the laboratory, and body composition assessment using dual energy x-ray absorptiometry  ...  Acknowledgment This study was supported by the CHDI Foundation  ... 
doi:10.1002/ana.24495 pmid:26224419 pmcid:PMC4832311 fatcat:safvzpor7bfmhl6plqqgxz3nlq

Statistical hypothesis testing of factor loading in principal component analysis and its application to metabolite set enrichment analysis

Hiroyuki Yamamoto, Tamaki Fujimori, Hajime Sato, Gen Ishikawa, Kenjiro Kami, Yoshiaki Ohashi
2014 BMC Bioinformatics  
Results: We propose a statistical procedure that selects metabolites with statistical hypothesis testing of the factor loading in PCA and makes biological inferences about these significant metabolites  ...  We propose a statistical procedure to select metabolites with statistical hypothesis testing of the factor loading in PCA, and to draw biological inferences about these significant metabolites with MSEA  ...  We also thank Mr Seira Nakamura and Dr Makoto Suzuki for their valuable discussions about statistical analysis in metabolomics. Received  ... 
doi:10.1186/1471-2105-15-51 pmid:24555693 pmcid:PMC4015128 fatcat:jdv5d5wqdzckhffgf7mtgg6fau

The cephalic phase insulin response to nutritive and low-calorie sweeteners in solid and beverage form

Jaapna Dhillon, Janice Y. Lee, Richard D. Mattes
2017 Physiology and Behavior  
The solid food form elicited greater CPIR over 2, 6 and 10 minutes than the beverage form. There was no effect of learning on insulin responses after training.  ...  In addition, the role of learning on the CPIR to nutritive and lowcalorie sweetener exposure was tested.  ...  Acknowledgments The authors thank the research team for their assistance in conducting the study. The study was supported by the National Institutes of Health (Grant number: 5-R01-DK063185-04).  ... 
doi:10.1016/j.physbeh.2017.09.009 pmid:28899680 pmcid:PMC5634742 fatcat:pz66da5nercz5gmso2nvtgy2u4

Chia seeds as a potential cognitive booster in the APP23 Alzheimer's disease model

Stefanie Schreyer, Charlotte Klein, Anna Pfeffer, Justyna Rasińska, Laura Stahn, Karlotta Knuth, Basim Abuelnor, Alina Elisabeth Catharina Panzel, André Rex, Stefan Koch, Shabnam Hemmati-Sadeghi, Barbara Steiner
2020 Scientific Reports  
Since cognitive symptoms and plaque load were not aggravated by SRD-induced metabolic stress, despite enhanced neuroinflammation in the PRE group, we conclude that impairments of glucose metabolism do  ...  Here, we investigate the relationship of diet-induced metabolic stress and AD as well as the therapeutic potential of chia seeds as a modulator of glucose metabolism in the APP23 mouse model. 4–6 (pre-plaque  ...  C.K. contributed to the design of the study, to the acquisition of body weight and glucose tolerance data and revised the manuscript.  ... 
doi:10.1038/s41598-020-75209-z pmid:33106576 fatcat:tpbgwk545vdbvmyqji5fmbooiy

Maximal Oxygen Uptake in Breathing Exercises and Heart Rate Exercises Based on In-Depth Regression Equations

Jinchan Min, Qiangyi Li
2022 Advances in Multimedia  
For the purpose of research, the maximum oxygen uptake of exercise training breathing and heart rate constructed based on the deep learning regression equation learn about the effects of training breathing  ...  The author researched and established a stable heart rate HRH based on gender, BMI, and second-level load; the second-level load RPE and R P E 1 are independent variables, the absolute value of the subject's  ...  is used to extract gas metabolism data in the secondary quantitative load scheme of power vehicles, and analyze changes in gas metabolism.  ... 
doi:10.1155/2022/9664346 fatcat:4qfrva7czrddhcbpviensgkilm

Inspiratory muscle training in chronic airflow limitation: effect on exercise performance

C Lisboa, C Villafranca, A Leiva, E Cruz, J Pertuzé, G Borzone
1997 European Respiratory Journal  
The present study was planned to further investigate the effects of IMT on exercise performance.  ...  The effect of inspiratory muscle training (IMT) on exercise capacity in patients with chronic airflow limitation (CAL) has been debated.  ...  Acknowledgements: The authors thanks B. Torrealba and J. Añazco for their technical assistance and L. Villarroel for his statistical advice.  ... 
pmid:9072981 fatcat:g3ighmkio5cpdlqhbshr5cdhaq

Page 38 of California's Health Vol. 18, Issue 5 [page]

1960 California's Health  
Thus it appears that the load im- posed on the liver during alcohol de- toxification has far-reaching metabolic consequences, and that repeated load- ing of the liver by alcohol specifically may lead to  ...  While much has been learned about the psychological effects of alcohol, there is still much that is not known.  ... 

Metabolic cost adaptations during training with a soft exosuit assisting the hip joint

Fausto A. Panizzolo, Gregory M. Freisinger, Nikos Karavas, Asa M. Eckert-Erdheim, Christopher Siviy, Andrew Long, Rebecca A. Zifchock, Michael E. LaFiandra, Conor J. Walsh
2019 Scientific Reports  
Percentage change in net metabolic cost between the powered and unpowered conditions improved across sessions from -6.2 ± 3.9% (session one) to -10.3 ± 4.7% (session five), indicating a significant effect  ...  The participants attended five training sessions within 20 days. They walked carrying a load of 20.4 kg for 20 minutes with the exosuit powered and five minutes with the exosuit unpowered.  ...  Acknowledgements The authors wish to thank the cadets who volunteered to be involved in the study, Mr. Eric Horne for his assistance with the data collections and Mr.  ... 
doi:10.1038/s41598-019-45914-5 pmid:31278286 pmcid:PMC6611879 fatcat:xn5iuibe7zb53cvjweyr2zgnj4

Analysis of fat mass value, clinical and metabolic data and interleukin-6 in HIV-positive males using regression analyses and artificial neural network

Nurul Farhah Shamsuddin, Mas Sahidayana Mohktar, Reena Rajasuriar, Safwani Wan Kamarul Zaman, Fatimah Ibrahim, Adeeba Kamarulzaman
2022 Acta Scientiarum: Technology  
The finding of this study is able to help with the evaluation of the fat mass in the male HIV patients that consequently reflects the patients metabolic-related irregularity and immune response.  ...  It is also believed that the outcome from the analysis can help future HIV-related study on the prediction of body fat mass in male HIV patients especially in settings where dual energy X-ray absorptiometry  ...  One of the advantages of ANN modelling is it performs its learning process in the background by its own without external supervision and it greatly reduce the need for individualized model regulation.  ... 
doi:10.4025/actascitechnol.v44i1.57634 fatcat:aozrdv5qsve2lh6b7ib56zojfi

Partial Least Squares Discriminant Analysis and Bayesian Networks for Metabolomic Prediction of Childhood Asthma

Rachel Kelly, Michael McGeachie, Kathleen Lee-Sarwar, Priyadarshini Kachroo, Su Chu, Yamini Virkud, Mengna Huang, Augusto Litonjua, Scott Weiss, Jessica Lasky-Su
2018 Metabolites  
The standard PLS-DA approach had impressive accuracy for the prediction of age three asthma with an Area Under the Curve Convex Hull (AUCCH) of 81%.  ...  However, a permutation test indicated the possibility of overfitting.  ...  Acknowledgments: We wish to thank all mothers and children who were involved in the VDAART study, and all our VDAART collaborators. Conflicts of  ... 
doi:10.3390/metabo8040068 pmid:30360514 pmcid:PMC6316795 fatcat:op75hiqnubf7pjdeochcfsxjeq
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