Christian Datz

Dr. Christian Datz

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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11 March 2015 in Nature Communications
Verified
Journal Article
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QFQiang Feng
Qiang Feng
SLSuisha Liang
Suisha Liang
HJhuijue jia
huijue jia
ASAndreas Stadlmayr
Andreas Stadlmayr
LTLongqing Tang
Longqing Tang
JWJun Wang
Jun Wang
Colorectal cancer, a commonly diagnosed cancer in the elderly, often develops slowly from benign polyps called adenoma. The gut microbiota is believed to be directly involved in colorectal carcinogenesis. The identity and functional capacity of the adenoma- or carcinoma-related gut microbe(s), however, have not been surveyed in a comprehensive manner. Here we perform a metagenome-wide association study (MGWAS) on stools from advanced adenoma and carcinoma patients and from healthy subjects, revealing microbial genes, strains and functions enriched in each group. An analysis of potential risk factors indicates that high intake of red meat relative to fruits and vegetables appears to associate with outgrowth of bacteria that might contribute to a more hostile gut environment. These findings suggest that faecal microbiome-based strategies may be useful for early diagnosis and treatment of colorectal adenoma or carcinoma.

1 January 2017 in American Journal of Gastroenterology
Verified
Journal Article
Closed access
AFAlexandra Feldman
Alexandra Feldman
SESebastian K Eder
Sebastian K Eder
Thomas FelderThomas Felder
Thomas Felder
LKLyudmyla Kedenko
Lyudmyla Kedenko
BPBernhard Paulweber
Bernhard Paulweber
EAElmar Aigner
Elmar Aigner
Subjects allocated to one of the three groups according to body mass index (BMI) and hepatic steatosis on ultrasound were obtained: lean healthy (BMI≤25 kg/m2, no steatosis,N=71), lean NAFLD (BMI≤25 kg/m2, steatosis,N=55), obese NAFLD (BMI≥30 kg/m2, steatosis;N=61). All subjects received a detailed clinical and laboratory examination including oral glucose tolerance test. The serum metabolome was assessed using the Metabolomics AbsoluteIDQ p180 kit (BIOCRATES Life Sciences). Genotyping for single-nucleotide polymorphisms (SNPs) associated with NAFLD was performed. Results: Lean NAFLD subjects had fasting insulin concentrations similar to lean healthy subjects but had markedly impaired glucose tolerance. Lean NAFLD subjects had a higher rate of the mutant PNPLA3 CG/GG variant compared to lean controls (P=0.007). Serum adiponectin concentrations were decreased in both NAFLD groups compared to controls (P<0.001 for both groups) The metabolomics study revealed a potential role for various lysophosphatidylcholines (lyso-PC C18:0, lyso-PC C17:0) and phosphatidylcholines (PCaa C36:3; false discovery rate (FDR)-correctedP-value<0.001) as well as lysine, tyrosine, and valine (FDR<0.001). Conclusions: Lean subjects with evidence of NAFLD have clinically relevant impaired glucose tolerance, low adiponectin concentrations and a distinct metabolite profile with an increased rate of PNPLA3 risk allele carriage....

3 September 2019 in Sensors
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Journal Article
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Kalliopi KyriakouKalliopi Kyriakou
Kalliopi Kyriakou
Bernd ReschBernd Resch
Bernd Resch
GSGünther Sagl
Günther Sagl
APAndreas Petutschnig
Andreas Petutschnig
CWChristian Werner
Christian Werner
JPJessica Pykett
Jessica Pykett
There is a rich repertoire of methods for stress detection using various physiological signals and algorithms. However, there is still a gap in research efforts moving from laboratory studies to real-world settings. A small number of research has verified when a physiological response is a reaction to an extrinsic stimulus of the participant’s environment in real-world settings. Typically, physiological signals are correlated with the spatial characteristics of the physical environment, supported by video records or interviews. The present research aims to bridge the gap between laboratory settings and real-world field studies by introducing a new algorithm that leverages the capabilities of wearable physiological sensors to detect moments of stress (MOS). We propose a rule-based algorithm based on galvanic skin response and skin temperature, combing empirical findings with expert knowledge to ensure transferability between laboratory settings and real-world field studies. To verify our algorithm, we carried out a laboratory experiment to create a “gold standard” of physiological responses to stressors. We validated the algorithm in real-world field studies using a mixed-method approach by spatially correlating the participant’s perceived stress, geo-located questionnaires, and the corresponding real-world situation from the video. Results show that the algorithm detects MOS with 84% accuracy, showing high correlations between measured (by wearable sensors), reported (by questionnaires and eDiary entries), and recorded (by video) stress events. The urban stressors that were identified in the real-world studies originate from traffic congestion, dangerous driving situations, and crowded areas such as tourist attractions. The presented research can enhance stress detection in real life and may thus foster a better understanding of circumstances that bring about physiological stress in humans.

1 January 2013 in American Journal of Preventive Medicine
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Journal Article
Closed access
MTMarcus Tschentscher
Marcus Tschentscher
David NiederseerDavid Niederseer
David Niederseer
JNJosef Niebauer
Josef Niebauer

20 May 2022 in Journal of Hepatology
Verified
Journal Article
Open access
KSKatharina Staufer
Katharina Staufer
UHUrsula Huber-Schönauer
Ursula Huber-Schönauer
GSGeorg Strebinger
Georg Strebinger
PPPhilipp Pimingstorfer
Philipp Pimingstorfer
SSSilke Suesse
Silke Suesse
MTMichael Trauner
Michael Trauner
Non-alcoholic fatty liver disease (NAFLD) and alcohol-related liver disease (ALD) cannot reliably be distinguished by routine diagnostics, and the role of alcohol consumption in metabolic dysfunction-associated fatty liver disease (MAFLD) remains unclear. We investigated alcohol consumption in patients with presumed NAFLD and ALD using novel objective alcohol markers. In total, 184 consecutive patients were included in this prospective observational study. Alcohol intake was assessed by ethylglucuronide in hair (hEtG) and urine (uEtG); the utility of these measures for alcohol detection was compared to Alcohol Use Disorders Identification Test-Consumption (AUDIT-C), carbohydrate deficient transferrin (CDT), mean corpuscular volume (MCV), gamma-glutamyltransferase (GGT), and ALD/NAFLD index (ANI). Clinical characteristics of patients with NAFLD and ALD were re-assessed after reclassification based on repeated moderate (≥10 g <60 g EtOH/day) and excessive (≥60 g EtOH/day) alcohol consumption, and patients were retrospectively reclassified based on MAFLD criteria. Repeated moderate to excessive alcohol consumption was detected in 28.6%, 28.5%, and 25.0% of patients with presumed NAFLD, ALD or MAFLD, respectively. ANI score, AUDIT-C, uEtG, and hEtG showed AUCs of 0.628, 0.733, 0.754, and 0.927 for the detection of repeated moderate to excessive alcohol consumption, respectively. The indirect markers CDT, MCV and GGT were not reliable. Patients with repeated moderate or excessive alcohol consumption were significantly more often male, had a significantly lower BMI, and suffered significantly less often from type 2 diabetes or impaired glucose tolerance. In total, 28.6% of patients with presumed NAFLD, and 25.0% with MAFLD are at risk of alcohol-related liver damage. AUDIT-C, uEtG and hEtG should be used to screen for alcohol consumption in patients with fatty liver disease. Fatty liver disease can be caused by metabolic factors and/or alcohol consumption. The diagnosis of non-alcoholic fatty liver disease (NAFLD) is based on the exclusion of harmful alcohol consumption, while metabolic dysfunction-associated fatty liver disease (MAFLD), which has been proposed as a new name for NAFLD, is based on the presence of metabolic comorbidities and allows for alcohol consumption. Herein, we show that up to 29% of patients diagnosed with NAFLD and 25% with MAFLD are at risk of alcohol-related liver damage. We show that ethyl glucuronide (a metabolite of alcohol) in the hair and urine can accurately detect potentially harmful alcohol consumption in these patients - as such, these tests should be integrated into routine diagnostic work-up for patients with fatty liver disease.

30 July 2021 in Liver International
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Journal Article
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GSGeorg Semmler
Georg Semmler
CDChristian Datz
Christian Datz
TRThomas Reiberger
Thomas Reiberger
MTMichael Trauner
Michael Trauner
Lifestyle represents the most relevant factor for non‐alcoholic fatty liver disease (NAFLD) as the hepatic manifestation of the metabolic syndrome. Although a tremendous body of clinical and preclinical data on the effectiveness of dietary and lifestyle interventions exist, the complexity of this topic makes firm and evidence‐based clinical recommendations for nutrition and exercise in NAFLD difficult. The aim of this review is to guide readers through the labyrinth of recent scientific findings on diet and exercise in NAFLD and non‐alcoholic steatohepatitis (NASH), summarizing “obvious” findings in a holistic manner and simultaneously highlighting stimulating aspects of clinical and translational research “beyond the obvious”. Specifically, the importance of calorie restriction regardless of dietary composition and evidence from low‐carbohydrate diets to target the incidence and severity of NAFLD are discussed. The aspect of ketogenesis—potentially achieved via intermittent calorie restriction—seems to be a central aspect of these diets warranting further investigation. Interactions of diet and exercise with the gut microbiota and the individual genetic background need to be comprehensively understood in order to develop personalized dietary concepts and exercise strategies for patients with NAFLD/NASH.