Luzia Valentini

Prof. Luzia Valentini

Department of Agriculture and Food Technology, Section of Dietetics, University of Applied Sciences, Neubrandenburg, Germany
orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

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

Representative Publications

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1 February 2017 in Clinical Nutrition
Verified
Journal Article
Closed access
TCT. Cederholm
T. Cederholm
RBRocco Barazzoni
Rocco Barazzoni
PAP. Austin
P. Austin
PBP. Ballmer
P. Ballmer
GBGianni Biolo
Gianni Biolo
PSPierre Singer
Pierre Singer

1 April 2006 in Clinical Nutrition
Verified
Journal Article
Closed access
HLH. Lochs
H. Lochs
CDC. Dejong
C. Dejong
FHF. Hammarqvist
F. Hammarqvist
XHX. Hebuterne
X. Hebuterne
MLM. Leon-Sanz
M. Leon-Sanz
PTP. Thul
P. Thul

1 April 2015 in Journal of Allergy and Clinical Immunology
Verified
Journal Article
Closed access
KBKnut Brockow
Knut Brockow
DKDaniel Kneissl
Daniel Kneissl
LVLuzia Valentini
Luzia Valentini
OZOtto Zelger
Otto Zelger
MGMartine Grosber
Martine Grosber
JRJohannes Ring
Johannes Ring

1 July 2008 in Nutrition
Verified
Journal Article
Closed access
LVLuzia Valentini
Luzia Valentini
LSLennart Schaper
Lennart Schaper
CBCarsten Buning
Carsten Buning
SHSusanne Hengstermann
Susanne Hengstermann
TKThomas Koernicke
Thomas Koernicke
HLHerbert Lochs
Herbert Lochs

28 September 2011 in British Journal of Nutrition
Verified
Journal Article
Closed access
PDF file
NSNicole Stobäus
Nicole Stobäus
MPMatthias Pirlich
Matthias Pirlich
LVLuzia Valentini
Luzia Valentini
JSJörg Dieter Schulzke
Jörg Dieter Schulzke
KNKristina Norman
Kristina Norman
Phase angle (PhA), a parameter of bioelectrical impedance analysis, is a well-known predictor of morbidity and mortality in various diseases. The causes of decreased PhA are, however, not yet completely understood. We therefore investigated determinants of PhA in 777 hospitalised patients in a retrospective analysis. PhA was assessed by bioelectrical impedance analysis at 50 KHz. Subjective global assessment (SGA) was used to evaluate nutritional status. Age, sex, BMI as well as nutritional status (SGA), benign or malignant disease and C-reactive protein (CRP) were investigated as potential determinants of PhA and standardised PhA (SPhA) = (observed PhA − mean PhA of reference values)/standard deviation of reference values in a general linear model regression analysis. Next to age (estimated effect size, 46·6 %; P < 0·0001), malnutrition (39·1 %; P < 0·0001) emerged as a major PhA determinant in our study population. Moreover, sex (6·4 %; P < 0·0001), CRP (4·4 %; P < 0·0001) and BMI (3·5 %; P < 0·0001) exhibited a significant influence on PhA, whereas malignant disease showed no significant effect in this model. The only significant determinants of SPhA were malnutrition (85·4 %; P < 0·0001) and inflammation (9·6 %; P < 0·0001). In conclusion, next to the established predictors, malnutrition and inflammation have a strong impact on PhA in sick individuals, which partly explains its prognostic power. When investigating the SPhA, only malnutrition and inflammation were found to be significant predictors, as a result of which the SPhA is considered a more suitable indicator of nutritional and health status.

1 August 2015 in Clinical Nutrition
Verified
Journal Article
Open access
LVLuzia Valentini
Luzia Valentini
APAlessandro Pinto
Alessandro Pinto
IBIsabelle Bourdel-Marchasson
Isabelle Bourdel-Marchasson
RORita Ostan
Rita Ostan
PBPatrizia Brigidi
Patrizia Brigidi
HLHerbert Lochs
Herbert Lochs
To assess the impact of a personalized diet, with or without addition of VSL#3 preparation, on biomarkers of inflammation, nutrition, oxidative stress and intestinal microbiota in 62 healthy persons aged 65-85 years. Open label, randomized, multicenter study. High-sensitivity C-reactive protein. Community. Eight week web-based dietary advice (RISTOMED platform) alone or with supplementation of VSL#3 (2 capsules per day). The RISTOMED diet was optimized to reduce inflammation and oxidative stress. Blood and stool samples were collected on days 1 and 56. Diet alone reduced ESR (p = 0.02), plasma levels of cholesterol (p < 0.01) and glucose (p = 0.03). Addition of VSL#3 reduced ESR (p = 0.05) and improved folate (p = 0.007), vitamin B12 (p = 0.001) and homocysteine (p < 0.001) plasma levels. Neither intervention demonstrated any further effects on inflammation. Subgroup analysis showed 40 participants without signs of low-grade inflammation (hsCRP<3 mg/l, subgroup 1) and 21 participants with low-grade inflammation at baseline (hsCRP≥3 mg/l, subgroup 2). In subgroup 2 addition of VSL#3 increased bifidobacteria (p = 0.005) in more participants and improved both folate (p = 0.015) and vitamin B12 (p = 0.035) levels compared with subgroup 1. The increases were positively correlated to the change in the bifidobacteria concentration for folate (p = 0.023) and vitamin B12 (p = 0.001). As expected change in homocysteine correlated negatively to change in folate (r = -0.629, p = 0.002) and vitamin B12 (r = -0.482, p = 0.026). Addition of VSL#3 increased bifidobacteria and supported adequate folate and vitamin B12 concentrations in subjects with low-grade inflammation. Decrease in homocysteine with VSL#3 was clinically relevant. suggesting protective potentials for aging-associated conditions, e.g. cardiovascular or neurological diseases. ClinicalTrials.gov: NCT01069445-NCT01179789.