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Peter Großmann

About Peter Großmann:
No description specified

SEEK ID: https://funginet.hki-jena.de/people/168

Location:  Germany

Expertise: Machine Learning, DNA supercoiling, Metabolic networks, Integrative Data Analysis, Transcriptional Regulation, Bioinformatics

Tools: Systems biological modelling, LaTeX, Matlab, R

ORCID: https://orcid.org/0000-0001-6106-724X

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Project positions

FungiNet total (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; INF (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A1 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A2 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A3 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A4 (E) (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A5 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; A6 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; B1 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; B3 (E) (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; B4 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; B5 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C1 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C2 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C3 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C4 (E) (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C5 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; C6 (E) (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; Z1 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; Z2 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; FungiNet A - Aspergillus projects (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; FungiNet B - Bioinformatics projects (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; FungiNet C - Candida projects (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)) ; B2 (Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI))

Related items

FungiNet total: inactive since 2020-06-01
No description specified

Programme: Collaborative Research Center / Transregio 124 "Pathogenic fungi and their human host: Networks of Interaction - FungiNet"

Public web page: http://www.funginet.de/home.html

FungiNet B - Bioinformatics projects: inactive since 2020-06-01
No description specified

Programme: Collaborative Research Center / Transregio 124 "Pathogenic fungi and their human host: Networks of Interaction - FungiNet"

Public web page: http://www.funginet.de/project-area-b.html

FungiNet A - Aspergillus projects: inactive since 2020-06-01
No description specified

Programme: Collaborative Research Center / Transregio 124 "Pathogenic fungi and their human host: Networks of Interaction - FungiNet"

Public web page: http://www.funginet.de/project-area-a.html

A6: inactive since 2020-06-01

Surface proteins of Lichtheimia corymbifera as virulence determinants

Programme: Collaborative Research Center / Transregio 124 "Pathogenic fungi and their human host: Networks of Interaction - FungiNet"

Public web page: Not specified

B1: inactive since 2020-06-01

Modelling interactions between the host and fungal pathogens by combining metabolic pathway analysis and evolutionary game theory

Programme: Collaborative Research Center / Transregio 124 "Pathogenic fungi and their human host: Networks of Interaction - FungiNet"

Public web page: http://www.funginet.de/project-b1.html

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Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors.
INF, C5

Abstract (Expand)

Sepsis remains a major cause of death despite advances in medical care. Metabolic deregulation is an important component of the survival process. Metabolomic analysis allows profiling of critical … metabolic functions with the potential to classify patient outcome. Our prospective longitudinal characterization of 33 septic and non-septic critically ill patients showed that deviations, independent of direction, in plasma levels of lipid metabolites were associated with sepsis mortality. We identified a coupling of metabolic signatures between liver and plasma of a rat sepsis model that allowed us to apply a human kinetic model of mitochondrial beta-oxidation to reveal differing enzyme concentrations for medium/short-chain hydroxyacyl-CoA dehydrogenase (elevated in survivors) and crotonase (elevated in non-survivors). These data suggest a need to monitor cellular energy metabolism beyond the available biomarkers. A loss of metabolic adaptation appears to be reflected by an inability to maintain cellular (fatty acid) metabolism within a "corridor of safety".

Authors: W. Khaliq, Peter Großmann, S. Neugebauer, A. Kleyman, R. Domizi, S. Calcinaro, D. Brealey, M. Graler, M. Kiehntopf, Sascha Schäuble, M. Singer, Gianni Panagiotou, Michael Bauer

Date Published: 11th Dec 2020

Journal: Comput Struct Biotechnol J

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