Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles

Marko Sysi-Aho, Juha Koikkalainen, Jyrki Lötjönen, Tuulikki Seppänen-Laakso, Hans Söderlund, Tiina Heliö, Matej Oresic

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

Information derived from "omics" data in life science research are frequently limited by specific spatial or temporal scales these data describe. As a case study of integrating physiological and molecular data in human, here we study associations between the heart magnetic resonance images and serum lipidomic profiles. In the best case, such associations could help infer the physiologic state of the heart from a blood serum sample without need to use expensive imaging techniques. Strong marginal and partial correlations are found between the lipid profiles and parameters derived from the heart images. Regression analyses are applied to study these dependencies in more detail. This study demonstrates the feasibility of mapping lipid profiles to heart images, and thus combining information from two very different scales, small molecules and macroscopic physiologic features. Such mappings could be generalized to other "omics" data as well to complete our picture of the holistic function of a living organism.
Original languageEnglish
Title of host publicationAlgorithms and Applications
Subtitle of host publicationEssays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday
EditorsTapio Elomaa, Heikki Mannila, Pekka Orponen
Place of PublicationBerlin
PublisherSpringer
Pages232-243
ISBN (Electronic)978-3-642-12476-1
ISBN (Print)978-3-642-12475-4
DOIs
Publication statusPublished - 2010
MoE publication typeA3 Part of a book or another research book

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lipid
serum
life science
blood

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Sysi-Aho, M., Koikkalainen, J., Lötjönen, J., Seppänen-Laakso, T., Söderlund, H., Heliö, T., & Oresic, M. (2010). Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. In T. Elomaa, H. Mannila, & P. Orponen (Eds.), Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday (pp. 232-243). Berlin: Springer. https://doi.org/10.1007/978-3-642-12476-1_17
Sysi-Aho, Marko ; Koikkalainen, Juha ; Lötjönen, Jyrki ; Seppänen-Laakso, Tuulikki ; Söderlund, Hans ; Heliö, Tiina ; Oresic, Matej. / Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. editor / Tapio Elomaa ; Heikki Mannila ; Pekka Orponen. Berlin : Springer, 2010. pp. 232-243
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Sysi-Aho, M, Koikkalainen, J, Lötjönen, J, Seppänen-Laakso, T, Söderlund, H, Heliö, T & Oresic, M 2010, Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. in T Elomaa, H Mannila & P Orponen (eds), Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. Springer, Berlin, pp. 232-243. https://doi.org/10.1007/978-3-642-12476-1_17

Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. / Sysi-Aho, Marko; Koikkalainen, Juha; Lötjönen, Jyrki; Seppänen-Laakso, Tuulikki; Söderlund, Hans; Heliö, Tiina; Oresic, Matej.

Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. ed. / Tapio Elomaa; Heikki Mannila; Pekka Orponen. Berlin : Springer, 2010. p. 232-243.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

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AU - Sysi-Aho, Marko

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N2 - Information derived from "omics" data in life science research are frequently limited by specific spatial or temporal scales these data describe. As a case study of integrating physiological and molecular data in human, here we study associations between the heart magnetic resonance images and serum lipidomic profiles. In the best case, such associations could help infer the physiologic state of the heart from a blood serum sample without need to use expensive imaging techniques. Strong marginal and partial correlations are found between the lipid profiles and parameters derived from the heart images. Regression analyses are applied to study these dependencies in more detail. This study demonstrates the feasibility of mapping lipid profiles to heart images, and thus combining information from two very different scales, small molecules and macroscopic physiologic features. Such mappings could be generalized to other "omics" data as well to complete our picture of the holistic function of a living organism.

AB - Information derived from "omics" data in life science research are frequently limited by specific spatial or temporal scales these data describe. As a case study of integrating physiological and molecular data in human, here we study associations between the heart magnetic resonance images and serum lipidomic profiles. In the best case, such associations could help infer the physiologic state of the heart from a blood serum sample without need to use expensive imaging techniques. Strong marginal and partial correlations are found between the lipid profiles and parameters derived from the heart images. Regression analyses are applied to study these dependencies in more detail. This study demonstrates the feasibility of mapping lipid profiles to heart images, and thus combining information from two very different scales, small molecules and macroscopic physiologic features. Such mappings could be generalized to other "omics" data as well to complete our picture of the holistic function of a living organism.

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Sysi-Aho M, Koikkalainen J, Lötjönen J, Seppänen-Laakso T, Söderlund H, Heliö T et al. Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. In Elomaa T, Mannila H, Orponen P, editors, Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. Berlin: Springer. 2010. p. 232-243 https://doi.org/10.1007/978-3-642-12476-1_17