10 research outputs found
Increased Incidence and Clinical Picture of Childhood Narcolepsy following the 2009 H1N1 Pandemic Vaccination Campaign in Finland
Peer reviewe
Insulin resistance is associated with altered amino acid metabolism and adipose tissue dysfunction in normoglycemic women
Insulin resistance is associated adiposity, but the mechanisms are not fully understood. In this study,
we aimed to identify early metabolic alterations associated with insulin resistance in normoglycemic
women with varying degree of adiposity. One-hundred and ten young and middle-aged women were
divided into low and high IR groups based on their median HOMA-IR (0.9±0.4 vs. 2.8±1.2). Body
composition was assessed using DXA, skeletal muscle and liver fat by proton magnetic resonance
spectroscopy, serum metabolites by nuclear magnetic resonance spectroscopy and adipose tissue
and skeletal muscle gene expression by microarrays. High HOMA-IR subjects had higher serum
branched-chain amino acid concentrations (BCAA) (p<0.05 for both). Gene expression analysis of
subcutaneous adipose tissue revealed significant down-regulation of genes related to BCAA catabolism
and mitochondrial energy metabolism and up-regulation of several inflammation-related pathways in
high HOMA-IR subjects (p<0.05 for all), but no differentially expressed genes in skeletal muscle were
found. In conclusion, in normoglycemic women insulin resistance was associated with increased serum
BCAA concentrations, down-regulation of mitochondrial energy metabolism and increased expression
of inflammation-related genes in the adipose tissue.peerReviewe
Serum metabolic profiles in overweight and obese women with and without metabolic syndrome
Objective:
To identify serum biomarkers through metabolomics approach that distinguishes physically inactive
overweight/obese women with metabolic syndrome from those who are metabolically healthy, independent of
body weight and fat mass.
Methods:
We applied nuclear magnetic resonance spectroscopy-based profiling of fasting serum samples to
examine the metabolic differences between 78 previously physically inactive, body weight and fat mass matched
overweight/obese premenopausal women with and without MetS. MetS was defined as the presence of at least
three of the following five criteria: waist circumference
≥
88 cm, serum triacylglycerol
≥
1.7 mmol/L, and high density
lipoprotein cholesterol (HDL-C) <1.30 mmol/L, blood pressure
≥
130/85 mmHg and fasting glucose
≥
5.6 mmol/L).
Principal component analysis was used to reduce the large number of correlated variables to fewer uncorrelated
factors.
Results:
Two metabolic factors were associated with MetS independent of BMI, fat mass, waist circumference and
physical activity/fitness. Factor comprising branched-chain amino acids (BCAA) and aromatic amino acids (AAA) and
orosomucoid was associated with all clinical risk factors (p < 0.01 for all).
Conclusion:
Two metabolic factors distinguish overweight/obese women with metabolic syndrome from those
who are metabolically healthy independent of body weight, fat mass and physical activity/fitness. In particular,
factor comprising BCAA, AAA and orosomucoid seems auspicious biomarker determining metabolic health as it was
associated with all clinical risk factors. Further research is needed to determine the public health and clinical
significance of these results in terms of screening to identify those at greatest cardio-metabolic risk for whom
appropriate intervention strategies should be developed.peerReviewe
Mean metabolite component levels stratified by the healthy control and NAFLD groups (MIXED model estimated marginal means with 95% confidence intervals are given taking into account shared environment within family, and contrast estimates’ p-values were used to localize the significant differences between the two groups and group by gender interaction).
<p>NAFLD = non-alcohol fatty liver disease; values are given as mean and 95% confident interval (CI). Factor 1 (Omega 7 and 9 and saturated fatty acids, total fatty acids, mono-unsaturated fatty acids); Factor 2 (isoleucine, leucine, valine, phenylalanine, tyrosine and orosomucoid); Factor 3 (acetate, alanine, lactate, pyruvate); Factor 4 (esterified cholesterol, free cholesterol, omega 6 fatty acids, phosphoglycerides, phosphocholines and sphingomyelines); Factor 5 (beta-hydroxybutyrate, citrate, histidine); Factor 6 (acetoacetate, glutamine)</p><p>Mean metabolite component levels stratified by the healthy control and NAFLD groups (MIXED model estimated marginal means with 95% confidence intervals are given taking into account shared environment within family, and contrast estimates’ p-values were used to localize the significant differences between the two groups and group by gender interaction).</p
Physical characteristics, fat mass distribution, glucose metabolism hormones and liver enzymes in the healthy controls and NAFLD group (MIXED model estimated marginal means with 95% confidence intervals are given taking into account shared environment within family (husband and wife) and contrast estimates’ p-values were used to localize the significant differences between the two groups and group by gender interaction).
<p>NAFLD = non-alcohol fatty liver disease; BMI = body mass index; FM = fat mass of the whole body; SAT = abdominal subcutaneous adipose tissue; VAT = visceral adipose tissue; RAT = retroperitoneal adipose tissue; IMCL = intra-myocellular lipids; EMCL = extra-myocellular lipids; E = energy; SAFA = saturated fatty acids; MUFA = monounsaturated fatty acids; PUFA = polyunsaturated fatty acids; Ch = carbohydrate; PA = physical activity; hsCRP = high-sensitivity C-reactive protein; NEFA = non-esterified fatty acids; TG = triglycerides; ALP = alkaline phosphatase; ALT = alanine aminotransferase; AST = aspartate aminotransferase; GGT = γ-glutamyltransferase.</p><p>Physical characteristics, fat mass distribution, glucose metabolism hormones and liver enzymes in the healthy controls and NAFLD group (MIXED model estimated marginal means with 95% confidence intervals are given taking into account shared environment within family (husband and wife) and contrast estimates’ p-values were used to localize the significant differences between the two groups and group by gender interaction).</p
Correlations between serum metabolites factor 2 (isoleucine, leucine, valine, phenylalanine, tyrosine and orosomucoid) and different adipose tissue gene expression clusters in certain pathways.
<p>Each dot represents an individual and the line is a linear regression fit line.</p
KEGG pathway enrichment analysis of differentially expressed genes in adipose tissue.
<p>Count = Amount of differentially expressed genes that mapped on pathway. Size = Total amount of genes involved in pathway.</p><p>KEGG pathway enrichment analysis of differentially expressed genes in adipose tissue.</p