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- Aad, G., et al.
(author)
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- 2015
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Journal article (peer-reviewed)
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- Romagnoni, A, et al.
(author)
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
- 2019
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In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9:1, s. 10351-
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Journal article (peer-reviewed)abstract
- Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers.
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- Lindberg, Richard H., et al.
(author)
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Online solid phase extraction liquid chromatography using bonded zwitterionic stationary phases and tandem mass spectrometry for rapid environmental trace analysis of highly polar hydrophilic compounds – Application for the antiviral drug Zanamivir
- 2015
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In: Talanta. - : Elsevier. - 0039-9140 .- 1873-3573. ; 141, s. 164-169
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Journal article (peer-reviewed)abstract
- Abstract Zanamivir (Za) is a highly polar and hydrophilic antiviral drug used for the treatment of influenza A viruses. Za has been detected in rivers of Japan and it's environmental occurrence has the risk of inducing antiviral resistant avian influenza viruses. In this study, a rapid automated online solid phase extraction liquid chromatography method using bonded zwitterionic stationary phases and tandem mass spectrometry (SPE/LC–MS/MS) for trace analysis of Za was developed. Furthermore, an internal standard (IS) calibration method capable of quantifying Za in Milli-Q, surface water, sewage effluent and sewage influent was evaluated. Optimum pre-extraction sample composition was found to be 95/5 v/v acetonitrile/water sample and 1% formic acid. The developed method showed acceptable linearities (r2≥0.994), filtration recovery (≥91%), and intra-day precisions (RSD≤16%), and acceptable and environmentally relevant LOQs (≤20 ng L−1). Storage tests showed no significant losses of Za during 20 days and +4/−20 °C (≤12%) with the exception of influent samples, which should be kept at −20 °C to avoid significant Za losses. The applicability of the method was demonstrated in a study on phototransformation of Za in unfiltered and filtered surface water during 28 days of artificial UV irradiation exposure. No significant (≤12%) phototransformation was found in surface water after 28 days suggesting a relatively high photostability of Za and that Za should be of environmental concern.
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- Sader, N, et al.
(author)
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Indomethacin for control of ICP
- 2015
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In: Neurocritical care. - : Springer Science and Business Media LLC. - 1556-0961 .- 1541-6933. ; 22:3, s. 437-449
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Journal article (peer-reviewed)
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- Torres, Roxana, et al.
(author)
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Lifestyle modification intervention for overweight and obese Hispanic pregnant women : Development, implementation, lessons learned and future applications
- 2016
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In: Contemporary Clinical Trials Communications. - : Elsevier BV. - 2451-8654. ; 3, s. 111-116
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Journal article (peer-reviewed)abstract
- Objectives To describe the development, implementation and lessons learned of lifestyle intervention to promote appropriate gestational weight gain among Hispanic pregnant women. Design The intervention was informed by an empowerment oriented theoretical framework, and targeted women in the Pregnancy and Early Life Improvement Study. Methods The nutrition component consisted of recommendations for total calories, food quantity and improving carbohydrate and fat quality. We provided brown rice, omega-3 rich vegetable oil and spread, and water monthly. The physical activity focused on limiting sedentary behavior and promoting regular movement. The intervention was delivered through individual and group sessions and phone calls. Participants set their own goals, which were closely monitored. The intervention was evaluated extracting data from participant's record (attendance, goals, and challenges) and using a questionnaire. Results Participants were from underserved communities with economic, time, cultural and social barriers for engaging in lifestyle interventions. Modifications were done to facilitate participation, such as coordinating sessions with prenatal appointments and reducing group size and duration of sessions. Weekly text messages were added to reinforce the intervention. The main goal chosen by participants was reduction of sweetened beverages. The greatest challenges were replacing white rice with brown rice and improving physical activity. Participants suggested conducting sessions near their community and using social media as a motivation tool. Main outcomes results will be published elsewhere. Conclusion We identified barriers to delivering the lifestyle intervention, mainly related to group session's participation. Sessions should be conducted in the community, using text messages and social media as reinforcement. ClinicalTrials.gov: NCT01771133.
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