Manja Koch

Dr. Manja Koch

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2016 in Nature Genetics
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Journal Article
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JWJun Wang
Jun Wang
LTLouise B Thingholm
Louise B Thingholm
JSJurgita Skiecevičienė
Jurgita Skiecevičienė
PRPhilipp Rausch
Philipp Rausch
MKMartin Kummen
Martin Kummen
AFAndre Franke
Andre Franke
Andre Franke and colleagues perform a genome-wide association study for the gut microbiome, examining the influence of host genetics on overall microbial variation and individual taxa. They find significant associations at the VDR (vitamin D receptor) locus and observe correlations between microbiota and metabolites of VDR, including bile acids. Human gut microbiota is an important determinant for health and disease, and recent studies emphasize the numerous factors shaping its diversity. Here we performed a genome-wide association study (GWAS) of the gut microbiota using two cohorts from northern Germany totaling 1,812 individuals. Comprehensively controlling for diet and non-genetic parameters, we identify genome-wide significant associations for overall microbial variation and individual taxa at multiple genetic loci, including the VDR gene (encoding vitamin D receptor). We observe significant shifts in the microbiota of Vdr−/− mice relative to control mice and correlations between the microbiota and serum measurements of selected bile and fatty acids in humans, including known ligands and downstream metabolites of VDR. Genome-wide significant (P < 5 × 10−8) associations at multiple additional loci identify other important points of host–microbe intersection, notably several disease susceptibility genes and sterol metabolism pathway components. Non-genetic and genetic factors each account for approximately 10% of the variation in gut microbiota, whereby individual effects are relatively small.

13 June 2013 in Nutrition Reviews
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Journal Article
Closed access
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JBJanett Barbaresko
Janett Barbaresko
MKManja Koch
Manja Koch
MSMatthias B. Schulze
Matthias B. Schulze
UNUte Nöthlings
Ute Nöthlings

1 June 2020 in Molecular Systems Biology
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Journal Article
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JBJakob M Bader
Jakob M Bader
PGPhilipp E Geyer
Philipp E Geyer
JMJohannes B Müller
Johannes B Müller
MSMaximilian T Strauss
Maximilian T Strauss
MKManja Koch
Manja Koch
MMMatthias Mann
Matthias Mann
Neurodegenerative diseases are a growing burden, and there is an urgent need for better biomarkers for diagnosis, prognosis, and treatment efficacy. Structural and functional brain alterations are reflected in the protein composition of cerebrospinal fluid (CSF). Alzheimer's disease (AD) patients have higher CSF levels of tau, but we lack knowledge of systems‐wide changes of CSF protein levels that accompany AD. Here, we present a highly reproducible mass spectrometry (MS)‐based proteomics workflow for the in‐depth analysis of CSF from minimal sample amounts. From three independent studies (197 individuals), we characterize differences in proteins by AD status (> 1,000 proteins, CV < 20%). Proteins with previous links to neurodegeneration such as tau, SOD1, and PARK7 differed most strongly by AD status, providing strong positive controls for our approach. CSF proteome changes in Alzheimer's disease prove to be widespread and often correlated with tau concentrations. Our unbiased screen also reveals a consistent glycolytic signature across our cohorts and a recent study. Machine learning suggests clinical utility of this proteomic signature.

1 September 2017 in JACC: Cardiovascular Imaging
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Journal Article
Closed access
RSRavi V. Shah
Ravi V. Shah
AAAmanda Anderson
Amanda Anderson
JDJingzhong Ding
Jingzhong Ding
MBMatthew Budoff
Matthew Budoff
OROliver Rider
Oliver Rider
VMVenkatesh L. Murthy
Venkatesh L. Murthy

19 July 2014 in Cancer Causes & Control
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SSSabrina Schlesinger
Sabrina Schlesinger
SSSabine Siegert
Sabine Siegert
MKManja Koch
Manja Koch
JWJessica Walter
Jessica Walter
NHNils Heits
Nils Heits
UNUte Nöthlings
Ute Nöthlings

22 November 2018 in BMC Cancer
Verified
Journal Article
Open access
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IRIlka Ratjen
Ilka Ratjen
CSClemens Schafmayer
Clemens Schafmayer
JEJanna Enderle
Janna Enderle
RGRomina di Giuseppe
Romina di Giuseppe
SWSabina Waniek
Sabina Waniek
WLWolfgang Lieb
Wolfgang Lieb
The group of colorectal cancer (CRC) survivors continues to grow worldwide. Understanding health-related quality of life (HRQOL) determinants and consequences of HRQOL impairments in long-term CRC survivors may help to individualize survivorship care plans. We aimed to i) examine the HRQOL status of CRC long-term survivors, ii) identify cross-sectional sociodemographic and clinical correlates of HRQOL, and iii) investigate the prospective association of HRQOL after CRC diagnosis with all-cause mortality. We assessed HRQOL within a Northern German cohort of 1294 CRC survivors at a median of 6 years after CRC diagnosis using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Cross-sectional correlates of different HRQOL dimensions were analyzed using multivariable-adjusted logistic regression models with HRQOL as a binary variable. With multivariable-adjusted Cox proportional hazards regression models, hazard ratios (HR) of all-cause mortality were estimated per 10-point-increments of an HRQOL summary score, a global quality of life scale, and HRQOL functioning and symptom domains. The median HRQOL summary score was 87 (interquartile range: 75–94). Sex, age, education, tumor location, metastases, other cancers, type of therapy, and current stoma were identified as correlates of different HRQOL scales. After a median follow-up time of 7 years after HRQOL assessment, 175 participants had died. Nearly all HRQOL domains, except for cognitive functioning and diarrhea, were significantly associated with all-cause mortality. A 10-point-increment in the summary score decreased the risk of death by 24% (HR: 0.76; 95% CI: 0.70–0.82). HRQOL in CRC survivors appeared to be relatively high in the long term. Various clinical and sociodemographic factors were cross-sectionally associated with HRQOL in long-term CRC survivors. Lower HRQOL was associated with increased all-cause mortality. Individualized healthcare programs for CRC survivors (including psychosocial screening and interventions) are needed to detect decreased HRQOL and to further improve long-term HRQOL and survival.