Relevant bibliographies by topics / Lipidology

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'Lipidology'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 January 2023

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Journal articles on the topic "Lipidology"

1

Gill, Edward A., Christie M. Ballantyne, and Kathleen L. Wyne. "Lipidology." Endocrinology and Metabolism Clinics of North America 45, no. 1 (March 2016): i. http://dx.doi.org/10.1016/s0889-8529(15)00154-1.

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Nishida, Ikuo. "Lipidology." Trends in Plant Science 4, no. 5 (May 1999): 201. http://dx.doi.org/10.1016/s1360-1385(99)01403-x.

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Gill, Edward A., Christie M. Ballantyne, and Kathleen L. Wyne. "Lipidology." Cardiology Clinics 33, no. 2 (May 2015): i. http://dx.doi.org/10.1016/s0733-8651(15)00018-1.

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Nicholls, Stephen J. "Lipidology." Cardiology Clinics 36, no. 2 (May 2018): i. http://dx.doi.org/10.1016/s0733-8651(18)30003-1.

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&NA;, &NA;. "Lipidology." Current Opinion in Lipidology 8, no. 4 (August 1997): 1. http://dx.doi.org/10.1097/00041433-199708000-00011.

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&NA;. "Lipidology." Current Opinion in Lipidology 10, no. 1 (February 1999): 64. http://dx.doi.org/10.1097/00041433-199902000-00012.

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Nicholls, Stephen J. "Lipidology." Cardiology Clinics 36, no. 2 (May 2018): xiii. http://dx.doi.org/10.1016/j.ccl.2017.12.015.

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Benhalima, K., and E. Muls. "THERAPEUTIC LIPIDOLOGY." Acta Clinica Belgica 63, no. 6 (December 2008): 428–30. http://dx.doi.org/10.1179/acb.2008.089.

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Moodie, Douglas. "Pediatric Lipidology." Congenital Heart Disease 8, no. 4 (July 2013): 271–72. http://dx.doi.org/10.1111/chd.12122.

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Shalnova, S. A. "OBSERVATIONAL TRAILS IN LIPIDOLOGY." Rational Pharmacotherapy in Cardiology 5, no. 2 (January 1, 2009): 75–78. http://dx.doi.org/10.20996/1819-6446-2009-5-2-75-78.

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Dissertations / Theses on the topic "Lipidology"

1

Hübner, Katrin. "Computational lipidology." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2008. http://dx.doi.org/10.18452/15827.

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Wichtige Marker in der klinischen Routine für die Risikoabschätzung von kardiovaskulären Erkrankungen (CVD) sind Blutcholesterinwerte auf Basis von Lipoproteinklassen wie ''schlechtes'' LDL oder ''gutes'' HDL. Dies vernachlässigt, dass jede Lipoproteinklasse eine nicht-homogene Population von Lipoproteinpartikeln unterschiedlicher Zusammensetzung aus Lipiden und Proteinen bildet. Studien zeigen zudem, dass solche Sub-populationen von Lipoproteinen im Stoffwechsel als auch im Beitrag zu CVD unterschiedlich sind. Mehrwert und routinemäßiger Einsatz einer detaillierteren Auftrennung von Lipoproteinen sind jedoch umstritten, da die experimentelle Fraktionierung und Analyse aufwendig, zeit- und kostenintensiv sind. Die vorliegende Arbeit ''Computational Lipidology'' präsentiert einen neuartigen Modellierungsansatz für die Berechnung von Lipoproteinverteilungen (Lipoproteinprofil) im Blutplasma, wobei erstmals individuelle Lipoproteinpartikel anstelle von Lipoproteinklassen betrachtet werden. Das Modell berücksichtigt elementare Bestandteile (Lipide, Proteine) und Prozesse des Stoffwechsel von Lipoproteinen. Stochastische wie deterministische Simulationen errechnen auf Basis aller Lipoproteinpartikel im System deren Dichteverteilung. Die Modellberechnungen reproduzieren erfolgreich klinisch gemessene Lipoproteinprofile von gesunden Patienten und zeigen Hauptmerkmale von pathologischen Situationen, die durch Störung eines der zugrundeliegenden molekularen Prozesse verursacht werden. Hochaufgelöste Lipoproteinprofile zeigen die Verteilung von sogenannten ''high-resolution density sub-fractions'' (hrDS) innerhalb von Hauptlipoproteinklassen. Die Ergebnisse stimmen mit klinischen Beobachtungen sehr gut überein, was die Arbeit als einen signifikanten Schritt in Richtung Analyse von individuellen Unterschieden, patienten-orientierte Diagnose von Fettstoffwechselstörungen und Identifikation neuer Sub-populationen von potentiell klinischer Relevanz qualifiziert.
Monitoring the major lipoprotein classes, particularly low-density lipoproteins (''bad'' LDL) and high-density lipoproteins (''good'' HDL) for characterizing risk of cardiovascular disease (CVD) is well-accepted and routine in clinical practice. However, it is only one-half of the truth as lipoprotein classes comprise non-homogeneous populations of lipoprotein particles varying significantly in their composition of lipids and apolipoproteins. Various studies have shown differing metabolic behavior and contribution to CVD of individual lipoprotein sub-populations. Nevertheless, the superiority of more detailed lipoprotein fractionation is still a matter of debate because experimental separation and analysis is an elaborate, time-consuming and expensive venture and not yet worthwhile for routine measurements. The present work ''Computational Lipidology'' aims at establishing a novel modeling approach to calculate the distribution of lipoproteins (lipoprotein profile) in blood plasma being the first that settles on individual lipoprotein complexes instead of common lipoprotein classes. Essential lipoprotein constituents and processes involved in the lipoprotein metabolism are taken into account. Stochastic as well as deterministic simulations yield the distribution of lipoproteins over density based on the set of individual lipoprotein complexes in the system. The model calculations successfully reproduce lipoprotein profiles measured in healthy subjects and show main characteristics of pathological situations elicited by disorder in one of the underlying molecular processes. Moreover, the model reveals the distribution of high-resolution lipoprotein sub-fractions (hrDS) within major density classes. The results show satisfactory agreement with clinical observations which qualifies the work as a significant step towards analyzing inter-individual variability, patient-oriented diagnosis of lipid disorders and identifying new sub-fractions of potential clinical relevance.
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2

Hübner, Katrin [Verfasser]. "Computational lipidology : prediction of lipoprotein density profiles in human blood plasma / von Katrin Hübner." 2008. http://d-nb.info/991273214/34.

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Books on the topic "Lipidology"

1

Michael, Davidson. Therapeutic lipidology. Totowa, N.J: Humana, 2007.

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C, Maki Kevin, and Toth Peter P, eds. Therapeutic lipidology. Totowa, N.J: Humana, 2007.

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Davidson, Michael. Therapeutic lipidology. Totowa, N.J: Humana, 2007.

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Michael, Davidson. Therapeutic lipidology. Totowa, N.J: Humana, 2007.

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Davidson, Michael H., Peter P. Toth, Kevin C. Maki, and Antonio M. Gotto, eds. Therapeutic Lipidology. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6.

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Davidson, Michael H., Peter P. Toth, and Kevin C. Maki, eds. Therapeutic Lipidology. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56514-5.

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Hot topics in neural membrane lipidology. New York: Springer, 2009.

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Farooqui, Akhlaq A. Hot topics in neural membrane lipidology. New York: Springer, 2009.

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Farooqui, Akhlaq A. Hot Topics in Neural Membrane Lipidology. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09693-3.

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10

Kates, Morris. Techniques of lipidology: Isolation, analysis, and identification of lipids. 2nd ed. Amsterdam: Elsevier, 1986.

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Book chapters on the topic "Lipidology"

1

Gotto, Antonio, and Michael H. Davidson. "History of Lipidology." In Contemporary Cardiology, 1–9. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56514-5_1.

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Choi, Brian G., Juan J. Badimon, Pedro R. Moreno, and Valentin Fuster. "Lipoprotein Metabolism and Vascular Biology." In Therapeutic Lipidology, 1–22. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_1.

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Labossiere, Reginald, and Ira J. Goldberg. "Management of Hypertriglyceridemia." In Therapeutic Lipidology, 201–20. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_10.

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Bays, Harold E. "Lowering Low-Density Lipoprotein Cholesterol Levels to Reduce Atherosclerotic Coronary Heart Disease Risk." In Therapeutic Lipidology, 221–40. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_11.

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Boffa, Michael B., Santica M. Marcovina, and Marlys L. Koschinsky. "Lipoprotein(a) as an Emerging Risk Factor for Atherothrombosis." In Therapeutic Lipidology, 241–66. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_12.

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Moriarty, Patrick M., Cheryl A. Gibson, and Klaus Flechsenhar. "Familial Hypercholesterolemia and Lipid Apheresis." In Therapeutic Lipidology, 267–89. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_13.

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Dayspring, Thomas. "Phytosterolemia." In Therapeutic Lipidology, 291–319. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_14.

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Cromwell, William C., and James D. Otvos. "Utilization of Lipoprotein Subfractions." In Therapeutic Lipidology, 321–47. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_15.

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Meagher, Emma A. "Cardiovascular Disease in Women." In Therapeutic Lipidology, 349–68. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_16.

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Eimer, Micah J., and Neil J. Stone. "Management of Lipids in the Elderly." In Therapeutic Lipidology, 369–87. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-533-6_17.

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