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Markus Löffler

About Markus Löffler:

Prof. Dr. Markus Löffler
Universität Leipzig
Institut für Medizinische Informatik, Statistik und Epidemiologie
Härtelstraße 16-18
04107 Leipzig

Health Atlas ID: 7W2GKE4JDQ-2

Location:  Germany

Expertise: Not specified

Tools: Not specified

ORCID: Not specified

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Related items

LIFE Adult

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT
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Programme: Epidemiology

Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html

Start date: 1st Jan 2009

LIFE - Leipzig Research Center for Civilization Diseases: inactive since

Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.

Programme: Epidemiology

Public web page: http://life.uni-leipzig.de/

Start date: 1st Jan 2009

LHA - Leipzig Health Atlas

The Leipzig Health Atlas (LHA) is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields in which our team has scientific and clinical expertise.

Programme: This Project is not associated with a Programme

Public web page: https://www.health-atlas.de

Start date: 1st Apr 2016

End date: 28th Feb 2021

COVID-19 Leipzig

This project serves as a container for all COVID-19 related assets, developed at the University of Leipzig and its partners.

Programme: Epidemiology

Public web page: Not specified

Start date: 20th May 2020

POLAR - Polypharmacy, Drug Interactions, Risks

The aim of the project is to use methods and processes of the Medical Informatics Initiative (MII) to contribute to the detection of health risks in patients with polypharmacy. Polypharmacy occurs especially in elderly patients with multimorbidity. Polypharmacy associated with an increased risk for medication errors and drug-drug or drug-disease interactions, which either reduce or intensify the desired effect of individual active substances or lead to undesired adverse drug effects (ADE). In the
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Programme: MII - Medical Informatics Initiative

Public web page: https://www.medizininformatik-initiative.de/en/POLAR

Efficacy of Volume Substitution and Insulin Therapy in Severe Sepsis (VISEP Trial)
SepNet - German Competence Network Sepsis

Severe sepsis and septic shock have a high mortality. Research has concentrated on adjunctive sepsis therapies; the role of supportive measures is comparatively unclear. In Europe the use of colloids is widespread, but there is no evidence on the role of either crystalloid or colloid volume therapy in sepsis. Recently, a higher incidence of kidney failure in sepsis was reported after administration of colloids.

Snapshots: No snapshots

VISEP
SepNet - German Competence Network Sepsis

Baseline Data and Endpoints for VISEP

Person responsible: René Hänsel

Snapshots: No snapshots

Study type: Not specified

VISEP trial data
SepNet - German Competence Network Sepsis

The role of intensive insulin therapy in patients with severe sepsis is uncertain. Fluid resuscitation improves survival among patients with septic shock, but evidence is lacking to support the choice of either crystalloids or colloids. We compared intensive insulin therapy with conventional insulin therapy and HES with Ringer’s lactate.

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

VISEP metadata
SepNet - German Competence Network Sepsis

The role of intensive insulin therapy in patients with severe sepsis is uncertain. Fluid resuscitation improves survival among patients with septic shock, but evidence is lacking to support the choice of either crystalloids or colloids. We compared intensive insulin therapy with conventional insulin therapy and HES with Ringer’s lactate.

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

Dynamics of cytokines, immune cell counts and disease severity in patients with community-acquired pneumonia - Unravelling potential causal relationships
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Community acquired pneumonia (CAP) is a severe and often rapidly deteriorating disease. To better understand its dynamics and potential causal relationships, we analyzed time series data of …f cytokines, blood and clinical parameters in hospitalized CAP patients. METHODS Time series data of 10 circulating cytokines, blood counts and clinical parameters were related to baseline characteristics of 403 CAP patients using univariate mixed models. Bivariate mixed models were applied to analyze correlations between the time series. To identify potential causal relationships, we inferred cross-lagged relationships between pairs of parameters using latent curve models with structured residuals. RESULTS IL-6 levels decreased faster over time in younger patients (Padj = 0.06). IL-8, VCAM-1, and IL-6 correlated strongly with disease severity as assessed by the sequential organ failure assessment (SOFA) score (r = 0.49, 0.48, 0.46, respectively; all Padj \textless 0.001). IL-6 and bilirubin correlated with respect to their mean levels and slopes over time (r = 0.36 and r = 0.46, respectively; Padj \textless 0.001). A number of potential causal relationships were identified, e.g., a negative effect of ICAM-1 on MCP-1, or a positive effect of the level of creatinine on the subsequent VCAM-1 concentration (P \textless 0.001). CONCLUSIONS These results suggest that IL-6 trajectories of CAP patients are associated with age and run parallel to bilirubin levels. The time series analysis also unraveled directed, potentially causal relationships between cytokines, blood parameters and clinical outcomes. This will facilitate the development of mechanistic models of CAP, and with it, improvements in treatment or surveillance strategies for this disease. TRIAL REGISTRATION clinicaltrials.gov NCT02782013, May 25, 2016, retrospectively registered.

Authors: Maciej Rosolowski, Volker Oberle, Peter Ahnert, Petra Creutz, Martin Witzenrath, Michael Kiehntopf, Markus Loeffler, Norbert Suttorp, Markus Scholz

Date Published: 1st Dec 2020

Publication Type: Journal article

Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Individualization and patient-specific optimization of treatment is a major goal of modern health care. One way to achieve this goal is the application of high-resolution diagnostics together …r with the application of targeted therapies. However, the rising number of different treatment modalities also induces new challenges: Whereas randomized clinical trials focus on proving average treatment effects in specific groups of patients, direct conclusions at the individual patient level are problematic. Thus, the identification of the best patient-specific treatment options remains an open question. Systems medicine, specifically mechanistic mathematical models, can substantially support individual treatment optimization. In addition to providing a better general understanding of disease mechanisms and treatment effects, these models allow for an identification of patient-specific parameterizations and, therefore, provide individualized predictions for the effect of different treatment modalities. RESULTS In the following we describe a software framework that facilitates the integration of mathematical models and computer simulations into routine clinical processes to support decision-making. This is achieved by combining standard data management and data exploration tools, with the generation and visualization of mathematical model predictions for treatment options at an individual patient level. CONCLUSIONS By integrating model results in an audit trail compatible manner into established clinical workflows, our framework has the potential to foster the use of systems-medical approaches in clinical practice. We illustrate the framework application by two use cases from the field of haematological oncology.

Authors: Katja Hoffmann, Katja Cazemier, Christoph Baldow, Silvio Schuster, Yuri Kheifetz, Sibylle Schirm, Matthias Horn, Thomas Ernst, Constanze Volgmann, Christian Thiede, Andreas Hochhaus, Martin Bornhäuser, Meinolf Suttorp, Markus Scholz, Ingmar Glauche, Markus Loeffler, Ingo Roeder

Date Published: 1st Dec 2020

Publication Type: Journal article

Higher BMI, but not obesity-related genetic polymorphisms, correlates with lower structural connectivity of the reward network in a population-based study.
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND: Obesity is of complex origin, involving genetic and neurobehavioral factors. Genetic polymorphisms may increase the risk for developing obesity by modulating dopamine-dependent behaviors, … such as reward processing. Yet, few studies have investigated the association of obesity, related genetic variants, and structural connectivity of the dopaminergic reward network. METHODS: We analyzed 347 participants (age range: 20-59 years, BMI range: 17-38 kg/m(2)) of the LIFE-Adult Study. Genotyping for the single nucleotid polymorphisms rs1558902 (FTO) and rs1800497 (near dopamine D2 receptor) was performed on a microarray. Structural connectivity of the reward network was derived from diffusion-weighted magnetic resonance imaging at 3 T using deterministic tractography of Freesurfer-derived regions of interest. Using graph metrics, we extracted summary measures of clustering coefficient and connectivity strength between frontal and striatal brain regions. We used linear models to test the association of BMI, risk alleles of both variants, and reward network connectivity. RESULTS: Higher BMI was significantly associated with lower connectivity strength for number of streamlines (beta = -0.0025, 95%-C.I.: [-0.004, -0.0008], p = 0.0042), and, to lesser degree, fractional anisotropy (beta = -0.0009, 95%-C.I. [-0.0016, -0.00008], p = 0.031), but not clustering coefficient. Strongest associations were found for left putamen, right accumbens, and right lateral orbitofrontal cortex. As expected, the polymorphism rs1558902 in FTO was associated with higher BMI (F = 6.9, p < 0.001). None of the genetic variants was associated with reward network structural connectivity. CONCLUSIONS: Here, we provide evidence that higher BMI correlates with lower reward network structural connectivity. This result is in line with previous findings of obesity-related decline in white matter microstructure. We did not observe an association of variants in FTO or near DRD2 receptor with reward network structural connectivity in this population-based cohort with a wide range of BMI and age. Future research should further investigate the link between genetics, obesity and fronto-striatal structural connectivity.

Authors: F. Beyer, R. Zhang, M. Scholz, K. Wirkner, M. Loeffler, M. Stumvoll, A. Villringer, A. V. Witte

Date Published: 25th Oct 2020

Publication Type: Journal article

Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.
Genetical Statistics and Systems Biology

Abstract (Expand)

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide … associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/beta-catenin, TGF-beta and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

Authors: E. Hofer, G. V. Roshchupkin, H. H. H. Adams, M. J. Knol, H. Lin, S. Li, H. Zare, S. Ahmad, N. J. Armstrong, C. L. Satizabal, M. Bernard, J. C. Bis, N. A. Gillespie, M. Luciano, A. Mishra, M. Scholz, A. Teumer, R. Xia, X. Jian, T. H. Mosley, Y. Saba, L. Pirpamer, S. Seiler, J. T. Becker, O. Carmichael, J. I. Rotter, B. M. Psaty, O. L. Lopez, N. Amin, S. J. van der Lee, Q. Yang, J. J. Himali, P. Maillard, A. S. Beiser, C. DeCarli, S. Karama, L. Lewis, M. Harris, M. E. Bastin, I. J. Deary, A. Veronica Witte, F. Beyer, M. Loeffler, K. A. Mather, P. R. Schofield, A. Thalamuthu, J. B. Kwok, M. J. Wright, D. Ames, J. Trollor, J. Jiang, H. Brodaty, W. Wen, M. W. Vernooij, A. Hofman, A. G. Uitterlinden, W. J. Niessen, K. Wittfeld, R. Bulow, U. Volker, Z. Pausova, G. Bruce Pike, S. Maingault, F. Crivello, C. Tzourio, P. Amouyel, B. Mazoyer, M. C. Neale, C. E. Franz, M. J. Lyons, M. S. Panizzon, O. A. Andreassen, A. M. Dale, M. Logue, K. L. Grasby, N. Jahanshad, J. N. Painter, L. Colodro-Conde, J. Bralten, D. P. Hibar, P. A. Lind, F. Pizzagalli, J. L. Stein, P. M. Thompson, S. E. Medland, P. S. Sachdev, W. S. Kremen, J. M. Wardlaw, A. Villringer, C. M. van Duijn, H. J. Grabe, W. T. Jr Longstreth, M. Fornage, T. Paus, S. Debette, M. Arfan Ikram, H. Schmidt, R. Schmidt, S. Seshadri

Date Published: 22nd Sep 2020

Publication Type: Journal article

Pro-Neurotensin depends on renal function and is related to all-cause mortality in chronic kidney disease
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Patients with chronic kidney disease (CKD) have a high risk of premature cardiovascular diseases (CVD) and show increased mortality. Pro-Neurotensin (NT) was associated with metabolic diseases …s and predicted incident CVD and mortality. However, Pro-NT regulation in CKD and its potential role linking CKD and mortality have not been investigated, so far. METHODS In a central lab, circulating Pro-NT was quantified in three independent cohorts comprising 4,715 participants (cohort 1: patients with CKD; cohort 2: general population study; cohort 3: non-diabetic population study). Urinary Pro-NT was assessed in part of the patients from cohort 1. Serum Pro-NT was further related to mortality in patients with advanced CKD. Tissue-specific Nts expression was investigated in two mouse models of diabetic CKD and compared to non-diabetic control mice. RESULTS Pro-NT significantly increased with deteriorating renal function (p\textless0.001). In meta-analysis of cohorts 1-3, Pro-NT was significantly and independently associated with estimated glomerular filtration rate (p\leq0.002). Patients in the middle/high Pro-NT tertiles at baseline had a higher all-cause mortality compared to the low Pro-NT tertile (Hazard ratio: 2.11, p=0.046). Mice with severe diabetic CKD did not show increased Nts mRNA expression in different tissues compared to control animals. CONCLUSIONS Circulating Pro-NT is associated with impaired renal function in independent cohorts comprising 4,715 subjects and is related to all-cause mortality in patients with end-stage kidney disease. Our human and rodent data are in accordance with the hypotheses that Pro-NT is eliminated by the kidneys and could potentially contribute to increased mortality observed in patients with CKD.

Authors: Anke Toenjes, Annett Hoffmann, Susan Kralisch, Abdul Rashid Qureshi, Nora Klöting, Markus Scholz, Dorit Schleinitz, Anette Bachmann, Juergen Kratzsch, Marcin Nowicki, Sabine Paeschke, Kerstin Wirkner, Cornelia Enzenbach, Ronny Baber, Joachim Beige, Matthias Anders, Ingolf Bast, Matthias Blüher, Peter Kovacs, Markus Löffler, Ming-Zhi Zhang, Raymond C. Harris, Peter Stenvinkel, Michael Stumvoll, Mathias Fasshauer, Thomas Ebert

Date Published: 1st Sep 2020

Publication Type: Journal article

VISEP V-VERL-join-ODM
SepNet - German Competence Network Sepsis
No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

VISEP V-PAT-ODM
SepNet - German Competence Network Sepsis
No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

VISEP haemo_join-ODM
SepNet - German Competence Network Sepsis
No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

VISEP Endpoint-ODM
SepNet - German Competence Network Sepsis
No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

VISEP V-VERL-join Metadata-ODM
SepNet - German Competence Network Sepsis
No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

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2 hidden items
Bulletin COVID-19 Leipzig 2021-03-18
COVID-19 Leipzig, Genetical Statistics and Systems Biology

Summary of the current COVID-19 pandemic development in Leipzig and Saxony.

Creators: Holger Kirsten, Markus Scholz, Markus Löffler, Peter Ahnert, Anne Dietrich, Dirk Hasenclever, Matthias Horn, Yuri Kheifetz, Tyll Krüger, Sibylle Schirm

Submitter: Christoph Beger

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Bulletin COVID-19 Leipzig 2020-10-16
COVID-19 Leipzig, Genetical Statistics and Systems Biology

Summary of the current COVID-19 pandemic development in Leipzig and Saxony.

Creators: Holger Kirsten, Markus Löffler, Markus Scholz, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Kolja Nenoff, Sibylle Schirm

Submitter: Christoph Beger

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Bulletin COVID-19 Leipzig 2020-06-30
COVID-19 Leipzig, Genetical Statistics and Systems Biology

Summary of the current COVID-19 pandemic development in Leipzig and Saxony.

Creators: Holger Kirsten, Markus Löffler, Markus Scholz, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Kolja Nenoff, Sibylle Schirm

Submitter: Christoph Beger

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Bulletin COVID-19 Leipzig 2020-05-28
COVID-19 Leipzig, Genetical Statistics and Systems Biology

Summary of the current COVID-19 pandemic development in Leipzig and Saxony.

Creators: Holger Kirsten, Markus Scholz, Markus Löffler, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Kolja Nenoff, Sibylle Schirm

Submitter: Christoph Beger

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Bulletin COVID-19 Leipzig 2020-05-04
COVID-19 Leipzig, Genetical Statistics and Systems Biology

Summary of the current COVID-19 pandemic development in Leipzig and Saxony.

Creators: Holger Kirsten, Markus Scholz, Markus Löffler, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Sibylle Schirm

Submitter: Christoph Beger

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