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Amino acid residues 283-297 from sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) form a cyclic peptide ligand targeting vascular adhesion protein-1 (VAP-1). VAP-1 is associated with the transfer of leukocytes from blood to tissues upon inflammation. Therefore, analogs of Siglec-9 peptide are good candidates for visualizing inflammation non-invasively using positron emission tomography (PET). Gallium-68-labeled 1,4,7,10-tetraazacyclododecane- N,N',N″,N‴ -tetraacetic acid (DOTA)-conjugated Siglec-9 has been evaluated extensively for this purpose. Here, we explored two alternative strategies for radiolabeling Siglec-9 peptide using a 1,4,7-triazacyclononane-triacetic acid (NOTA)-chelator to bind [ 68 Ga]Ga or [ 18 F]AlF. The radioligands were evaluated by in vivo PET imaging and ex vivo γ-counting of turpentine-induced sterile skin/muscle inflammation in Sprague-Dawley rats. Both tracers showed clear accumulation in the inflamed tissues. The whole-body biodistribution patterns of the tracers were similar., Competing Interests: S.J. owns stocks in Faron Pharmaceuticals Ltd. The other authors declare that they have no conflicts of interest.

Purpose: Fatty liver is an expanding health concern associated with metabolic disturbances and increased risk of cardiovascular disease. Experimental studies in animals have shown associations between fatty liver and cardiorespiratory fitness but limited data exist in humans. The aim of this study was to analyze the links between cardiorespiratory fitness and fatty liver in a population-based sample of adults., Methods: Participants were 463 adults (48% men) from the Cardiovascular Risk in Young Finns Study. Cardiorespiratory fitness was measured with a cycle ergometer exercise test as peak oxygen uptake (V˙O2peak [mL·kg·min]) in 2008 to 2009. Hepatic ultrasonographic imaging was performed in 2011 to determine fatty liver., Results: Cardiorespiratory fitness was associated with lower risk of fatty liver (1 mL·kg·min increase in V˙O2peak: risk ratio, 0.90; 95% confidence interval, 0.88-0.93, P < 0.0001; adjusted for age and sex). This association remained significant after further adjustments with physical activity, adiposity, smoking, alcohol consumption, serum lipids, insulin, glucose, and C-reactive protein. Participants who were obese (waist circumference, >80 cm in women and >94 cm in men) but fit (V˙O2peak in the upper age- and sex-specific median) had lower prevalence of fatty liver than participants who were obese and unfit (below median), (11.7% vs 34.8%, P = 0.0003)., Conclusions: In a population-based sample of adults, cardiorespiratory fitness is strongly, inversely and independently related with the risk of fatty liver. Importantly, the association is evident also among obese.

Nonalcoholic fatty liver is associated with obesity-related metabolic disturbances, but little is known about the metabolic perturbations preceding fatty liver disease. We performed comprehensive metabolic profiling to assess how circulating metabolites, such as lipoprotein lipids, fatty acids, amino acids, and glycolysis-related metabolites, reflect the presence of and future risk for fatty liver in young adults. Sixty-eight lipids and metabolites were quantified by nuclear magnetic resonance metabolomics in the population-based Young Finns Study from serum collected in 2001 (n = 1,575), 2007 (n = 1,509), and 2011 (n = 2,002). Fatty liver was diagnosed by ultrasound in 2011 when participants were aged 34-49 years (19% prevalence). Cross-sectional associations as well as 4-year and 10-year risks for fatty liver were assessed by logistic regression. Metabolites across multiple pathways were strongly associated with the presence of fatty liver (P < 0.0007 for 60 measures in age-adjusted and sex-adjusted cross-sectional analyses). The strongest direct associations were observed for extremely large very-low-density lipoprotein triglycerides (odds ratio [OR] = 4.86 per 1 standard deviation, 95% confidence interval 3.48-6.78), other very-low-density lipoprotein measures, and branched-chain amino acids (e.g., leucine OR = 2.94, 2.51-3.44). Strong inverse associations were observed for high-density lipoprotein measures, e.g., high-density lipoprotein size (OR = 0.36, 0.30-0.42) and several fatty acids including omega-6 (OR = 0.37, 0.32-0.42). The metabolic associations were attenuated but remained significant after adjusting for waist, physical activity, alcohol consumption, and smoking (P < 0.0007). Similar aberrations in the metabolic profile were observed already 10 years before fatty liver diagnosis., Conclusion: Circulating lipids, fatty acids, and amino acids reflect fatty liver independently of routine metabolic risk factors; these metabolic aberrations appear to precede the development of fatty liver in young adults. (Hepatology 2017;65:491-500)., (© 2016 The Authors. Hepatology published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases.)

Background & Aims: Fatty liver is a potentially preventable cause of serious liver diseases. This longitudinal study aimed to identify childhood risk factors of fatty liver in adulthood in a population-based group of Finnish adults., Methods: Study cohort included 2,042 individuals from the Cardiovascular Risk in Young Finns Study aged 3-18years at baseline in 1980. During the latest follow-up in 2011, the liver was scanned by ultrasound. In addition to physical and environmental factors related to fatty liver, we examined whether the genetic risk posed by a single nucleotide polymorphism in the patatin-like phospholipase domain-containing protein 3 gene (PNPLA3) (rs738409) strengthens prediction of adult fatty liver., Results: Independent childhood predictors of adult fatty liver were small for gestational age, (odds ratio=1.71, 95% confidence interval=1.07-2.72), variant in PNPLA3 (1.63, 1.29-2.07 per one risk allele), variant in the transmembrane 6 superfamily 2 gene (TM6SF2) (1.57, 1.08-2.30), BMI (1.30, 1.07-1.59 per standard deviation) and insulin (1.25, 1.05-1.49 per standard deviation). Childhood blood pressure, physical activity, C-reactive protein, smoking, serum lipid levels or parental lifestyle factors did not predict fatty liver. Risk assessment based on childhood age, sex, BMI, insulin levels, birth weight, TM6SF2 and PNPLA3 was superior in predicting fatty liver compared with the approach using only age, sex, BMI and insulin levels (C statistics, 0.725 vs. 0.749; p=0.002)., Conclusions: Childhood risk factors on the development of fatty liver were small for gestational age, high insulin and high BMI. Prediction of adult fatty liver was enhanced by taking into account genetic variants in PNPLA3 and TM6SF2 genes., Lay Summary: The increase in pediatric obesity emphasizes the importance of identification of children and adolescents at high risk of fatty liver in adulthood. We used data from the longitudinal Cardiovascular Risk in Young Finns Study to examine the associations of childhood (3-18years) risk variables with fatty liver assessed in adulthood at the age of 34-49years. The findings suggest that a multifactorial approach with both lifestyle and genetic factors included would improve early identification of children with a high risk of adult fatty liver., (Copyright © 2016 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)

Background and Aims: Fatty liver may have different determinants in normal-weight and in obese individuals. We measured factors associated with fatty liver in 863 normal-weight (BMI < 25) and 1135 overweight/obese (BMI ≥ 25) young and middle-aged adults (45% male, age 34-49 years) in the population-based Cardiovascular Risk in Young Finns Study., Methods and Results: The prevalence of fatty liver detected with ultrasound was 29% in overweight/obese and 5% in normal-weight participants. In overweight/obese, the independent correlates were waist circumference (odds ratio for 1 standard deviation increase = 3.78), alanine transaminase (2.11), BMI (2.00), male sex (1.74), triglycerides (1.44), systolic blood pressure (1.31), fasting insulin (1.23), and physical activity (0.76). In normal weight, the independent correlates included alanine transaminase (3.05), smoking (2.56), systolic blood pressure (1.54), and alcohol intake (1.41). In normal-weight participants, the associations with fatty liver were stronger for alcohol intake and smoking, and weaker for triglycerides, than in overweight/obese participants (P for interaction < 0.05)., Conclusion: Prevalence of fatty liver was 29% in overweight/obese and 5% in normal-weight adults. Differences in factors associated with fatty liver were seen between these two groups: alcohol intake and smoking were more strongly and triglycerides more weakly associated in normal-weight than in overweight/obese participants.