International Research Group of Applied Preventive Medicine
Title: Stool parameters improving evidence in clinical research for food intestinal malabsorption of micronutrients
Claus Muss has completed his doctorates in Medical School Munich and Veterinary School Berlin and his Ph.D. in Public Health Science at St. Elisabeth University Bratislava (SK) where after habilitation he was appointed as Associate Professor. Besides his clinical activities in Germany, Austria and Switzerland, he is head of the world wide networking International Research Group of Applied Preventive Medicine, Coauthor of 7 scientific journals with over 87 own publications.
Malabsorption is a failure to fully absorb nutrients from the gastrointestinal tract. There are many causes including abnormalities of the gut wall, failure to produce digestive enzymes and abnormalities of gut flora as well as food intolerances contributing to intestinal malabsorption. Malabsorption may eventually lead to micronutrient deficiency, without any clinical symptoms at first sign. The outcome of numerous clinical studies does not consider malabsorption and assume that the oral intake of micronutrients coincides fully with the supply. Under such conditions epidemiological studies concerning the supply of micronutrients lack correct data as in major cases they are not based on blood levels surveys. For clinical surveys of malabsorption we propose to include parameters from stool samples to investigate transmissibility and subclinical inflammation in the intestine. Alpha-1 - Antitrypsin, Zonulin and other parameters have been validated sensitivity and have been used in larger cohorts. By including these parameters malabsorption can be excluded effectively in clinical nutritional research. Results of clinical validation of such parameters will be presented. As a conclusion we suggest to include stool parameters for the analysis of food malabsorption, when studying the effects of micronutrient supplementation to avoid subclinical deficiencies in the outcome of study analysis.