| 1. |
- Wernroth, Lisa, et al.
(author)
-
Development of gut microbiota during the first 2 years of life
- 2022
-
In: Scientific Reports. - : Nature Portfolio. - 2045-2322. ; 12:1
-
Journal article (peer-reviewed)abstract
- Although development of microbiota in childhood has been linked to chronic immune-related conditions, early childhood determinants of microbiota development have not been fully elucidated. We used 16S rRNA sequencing to analyse faecal and saliva samples from 83 children at four time-points during their first 2 years of life and from their mothers. Our findings confirm that gut microbiota in infants have low diversity and highlight that some properties are shared with the oral microbiota, although inter-individual differences are present. A considerable convergence in gut microbiota composition was noted across the first 2 years of life, towards a more diverse adult-like microbiota. Mode of delivery accounted for some of the inter-individual variation in early childhood, but with a pronounced attenuation over time. Our study extends previous research with further characterization of the major shift in gut microbiota composition during the first 2 years of life.
|
|
| 2. |
|
|
| 3. |
- Diamanti, Klev, 1987-, et al.
(author)
-
Integration of whole-body PET/MRI with non-targeted metabolomics provides new insights into insulin sensitivity of various tissues
-
Other publication (other academic/artistic)abstract
- Background: Alteration of various metabolites has been linked to type 2 diabetes (T2D) and insulin resistance. However, identifying significant associations between metabolites and tissue-specific alterations is challenging and requires a multi-omics approach. In this study, we aimed at discovering associations of metabolites from subcutaneous adipose tissue (SAT) and plasma with the volume, the fat fraction (FF) and the insulin sensitivity (Ki) of specific tissues using [18F]FDG PET/MRI.Materials and Methods: In a cohort of 42 subjects with different levels of glucose tolerance (normal, prediabetes and T2D) matched for age and body-mass-index (BMI) we calculated associations between parameters of whole-body FDG PET/MRI during clamp and non-targeted metabolomics profiling for SAT and blood plasma. We also used a rule-based classifier to identify a large collection of prevalent patterns of co-dependent metabolites that characterize non-diabetes (ND) and T2D.Results: The plasma metabolomics profiling revealed that hepatic fat content was positively associated with tyrosine, and negatively associated with lysoPC(P-16:0). Ki in visceral adipose tissue (VAT) and SAT, was positively associated with several species of lysophospholipids while the opposite applied to branched-chain amino acids (BCAA) and their intermediates. The adipose tissue metabolomics revealed a positive association between non-esterified fatty acids and, VAT and liver Ki. On the contrary, bile acids and carnitines in adipose tissue were inversely associated with VAT Ki. Finally, we presented a transparent machine-learning model that predicted ND or T2D in “unseen” data with an accuracy of 78%.Conclusions: Novel associations of several metabolites from SAT and plasma with the FF, volume and insulin senstivity of various tissues throughout the body were discovered using PET/MRI and a new integrative multi-omics approach. A promising computational model that predicted ND and T2D with high certainty, suggested novel non-linear interdependencies of metabolites.
|
|
| 4. |
- Fall, Tove, 1979-, et al.
(author)
-
Diabetes Mellitus in Elkhounds Is Associated with Diestrus and Pregnancy
- 2010
-
In: Journal of Veterinary Internal Medicine. - : Wiley. - 0891-6640 .- 1939-1676. ; 24:6, s. 1322-1328
-
Journal article (peer-reviewed)abstract
- Background: Female Elkhounds are shown to be at increased risk for diabetes mellitus, and occurrence of diabetes during pregnancy has been described in several cases. Hypothesis: Onset of diabetes mellitus in Elkhounds is associated with diestrus. Animals: Sixty-three Elkhounds with diabetes mellitus and 26 healthy controls. Methods: Medical records from 63 Elkhounds with diabetes were reviewed and owners were contacted for follow-up information. Blood samples from the day of diagnosis were available for 26 dogs. Glucose, fructosamine, C-peptide, growth hormone (GH), insulin-like growth factor-1, progesterone, and glutamate decarboxylase isoform 65-autoantibodies were analyzed and compared with 26 healthy dogs. Logistic models were used to evaluate the association of clinical variables with the probability of diabetes and with permanent diabetes mellitus after ovariohysterectomy (OHE). Results: All dogs in the study were intact females and 7 dogs (11%) were pregnant at diagnosis. The 1st clinical signs of diabetes mellitus occurred at a median of 30 days (interquartile range [IQR], 3-45) after estrus, and diagnosis was made at a median of 46 days (IQR, 27-62) after estrus. Diabetes was associated with higher concentrations of GH and lower concentrations of progesterone compared with controls matched for time after estrus. Forty-six percent of dogs that underwent OHE recovered from diabetes with a lower probability of remission in dogs with higher glucose concentrations (odds ratio [OR], 1.2; P = .03) at diagnosis and longer time (weeks) from diagnosis to surgery (OR, 1.5; P = .05). Conclusions: Diabetes mellitus in Elkhounds develops mainly during diestrus and pregnancy. Immediate OHE improves the prognosis for remission of diabetes.
|
|
| 5. |
- Vasan, Senthil K, et al.
(author)
-
Associations of variants in FTO and near MC4R with obesity traits in South Asian Indians
- 2012
-
In: Obesity. - : Wiley. - 1930-7381 .- 1930-739X. ; 20:11, s. 2268-2277
-
Journal article (peer-reviewed)abstract
- Recent genome-wide association studies show that loci in FTO and melanocortin 4 receptor (MC4R) associate with obesity-related traits. Outside Western populations the associations between these variants have not always been consistent and in Indians it has been suggested that FTO relates to diabetes without an obvious intermediary obesity phenotype. We investigated the association between genetic variants in FTO (rs9939609) and near MC4R (rs17782313) with obesity- and type 2 diabetes (T2DM)-related traits in a longitudinal birth cohort of 2,151 healthy individuals from the Vellore birth cohort in South India. The FTO locus displayed significant associations with several conventional obesity-related anthropometric traits. The per allele increase is about 1% for BMI, waist circumference (WC), hip circumference (HC), and waist-hip ratio. Consistent associations were observed for adipose tissue-specific measurements such as skinfold thickness reinforcing the association with obesity-related traits. Obesity associations for the MC4R locus were weak or nonsignificant but a signal for height (P < 0.001) was observed. The effect on obesity-related traits for FTO was seen in adulthood, but not at younger ages. The loci also showed nominal associations with increased blood glucose but these associations were lost on BMI adjustment. The effect of FTO on obesity-related traits was driven by an urban environmental influence. We conclude that rs9939609 variant in the FTO locus is associated with measures of adiposity and metabolic consequences in South Indians with an enhanced effect associated with urban living. The detection of these associations in Indians is challenging because conventional anthropometric obesity measures work poorly in the Indian "thin-fat" phenotype.
|
|
| 6. |
- Visvanathar, Robin, 1994-, et al.
(author)
-
Genetic Variation and Sex-Stratified Advanced Body Composition Analysis : Neck-to-Knee MRI and Genetics in the UK Biobank
-
Other publication (other academic/artistic)abstract
- Background The heritability of body composition has been studied extensively by researchers. However, few studies have explored the genetic variation of advanced body composition phenotypes derived from magnetic resonance imaging (MRI). In this study, polygenic risk scores (PRS) and single nucleotide polymorphisms (SNPs) that are associated with image-derived features from water- and fat separated MRI are reported. Method and materials The analysis was performed with the image processing framework Imiomics to attain spatial normalisation of large imaging cohorts from the UK Biobank. The study included 13,300 men and 13,849 women following GWAS and image data quality controls. Imiomics was further applied to generate voxel-wise Pearson correlation coefficient volumes. Relative effect sizes from six SNPs (rs1358980-T, rs1936805-T, rs2820443-C, rs6567160-C, rs10195252-C and rs13021737-G) were examined for associations with segmented tissue volumes and tissue fat fractions. In addition, the LDpred-derived PRS were compared with genome-wide significant only derived PRS for body mass index (BMI), waist-to-hip ratio (WHR) and height. Results Imiomics and GWAS integration delivered a detailed mapping of individual SNPs to the tissue volume and fat fraction of regional adipose tissue depots, heart, liver, lungs and thigh muscle. A putatively less harmful relationship between gluteofemoral SAT and the two obesity-related SNPs, rs6567160-C and rs1936805-T, compared with other tissues was found. The genetic variant, rs1358980-T, located upstream of VEGFA, was the highest ranked SNP inversely associated with gluteofemoral SAT volume in both sexes (r= -0.0245, p<0.05 and r= -0.0257, p<0.05 in men and women, respectively). Observed effect sizes were overall higher with LDpred-derived PRS compared with genome-wide significant only scores. Conclusion An image-based exploratory integration approach guided by Imiomics enabled efficient and large-scale analysis of advanced body composition and genetic variation.
|
|
| 7. |
- Wernroth, Lisa, et al.
(author)
-
Early Childhood Antibiotic Treatment for Otitis Media and Other Respiratory Tract Infections Is Associated With Risk of Type 1 Diabetes : A Nationwide Register-Based Study With Sibling Analysis
- 2020
-
In: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 43:5, s. 991-999
-
Journal article (peer-reviewed)abstract
- OBJECTIVE: The effect of early life antibiotic treatment on the risk of type 1 diabetes is debated. This study assessed this question, applying a register-based design in children up to age 10 years including a large sibling-control analysis.RESEARCH DESIGN AND METHODS: = 797,318) born in Sweden between 1 July 2005 and 30 September 2013 were included and monitored to 31 December 2014. Cox proportional hazards models, adjusted for parental and perinatal characteristics, were applied, and stratified models were used to account for unmeasured confounders shared by siblings.RESULTS: for interaction = 0.016). The association was driven by exposure to antibiotics primarily used for acute otitis media and respiratory tract infections. Further, we found an association of antibiotic prescriptions in pregnancy (22.5%) with type 1 diabetes (adjusted HR 1.15 [95% CI 1.00-1.32]). In general, sibling analysis supported these results, albeit often with statistically nonsignificant associations.CONCLUSIONS: Dispensed prescription of antibiotics, mainly for acute otitis media and respiratory tract infections, in the 1st year of life is associated with an increased risk of type 1 diabetes before age 10, most prominently in children delivered by cesarean section.
|
|
| 8. |
|
|
| 9. |
- Wernroth, Mona-Lisa, et al.
(author)
-
Dog Exposure During the First Year of Life and Type 1 Diabetes in Childhood
- 2017
-
In: JAMA pediatrics. - : AMER MEDICAL ASSOC. - 2168-6203 .- 2168-6211. ; 171:7, s. 663-669
-
Journal article (peer-reviewed)abstract
- IMPORTANCE The association between early exposure to animals and type 1 diabetes in childhood is not clear. OBJECTIVE To determine whether exposure to dogs during the first year of life is associated with the development of type 1 diabetes in childhood. DESIGN, SETTING, AND PARTICIPANTS A nationwide cohort study utilizing high-quality Swedish national demographic and health registers was conducted. A total of 840 593 children born in Sweden from January 1, 2001, to December 31, 2010, were evaluated. Type 1 diabetes was identified using diagnosis codes from hospitals and dispensed prescriptions of insulin. Cox proportional hazards regression models were used to assess the association between exposure to dogs and risk of type 1 diabetes in childhood. The possible association was further investigated by performing dose-response and breed group-specific analyses. The cohort was followed up until September 30, 2012. Data analysis was conducted from October 15, 2015, to February 8, 2017. EXPOSURES Having a parent who was registered as a dog owner during the child's first year of life. MAIN OUTCOMES AND MEASURES Childhood-onset type 1 diabetes. RESULTS Of the 840 593 children reviewed, 408 272 (48.6%) were girls; mean (SD) age at diagnosis of type 1 diabetes was 5.1 (2.6) years. Dog exposure was identified in 102 035 children (12.1%). Follow-up started at age 1 year, and the children were followed up for as long as 10.7 years (median, 5.5 years). During follow-up, 1999 children developed type 1 diabetes. No association was found between exposure to dogs (adjusted hazard ratio [HR], 1.00; 95% CI, 0.86-1.16) and type 1 diabetes in childhood. The size of the dog (adjusted HR per 10-cm increase in height, 0.96; 95% CI, 0.86-1.06) or number of dogs in the household (1 dog: adjusted HR, 1.07; 95% CI, 0.91-1.26; 2 dogs: 0.79; 95% CI, 0.54-1.15; >= 3 dogs: 0.50; 95% CI, 0.23-1.12; compared with nonexposed children) also was not associated with type 1 diabetes risk. An analysis of children whose parent had type 1 diabetes (210 events) yielded an adjusted HR of 0.71 (95% CI, 0.43-1.17) for dog exposure. CONCLUSIONS AND RELEVANCE In a nationwide study, no evidence supporting an association of register-derived measures of dog exposure with childhood type 1 diabetes was identified.
|
|
| 10. |
- Ahmad, Shafqat, et al.
(author)
-
Association of the Mediterranean Diet With Onset of Diabetes in the Women’s Health Study
- 2020
-
In: JAMA Network Open. - : American Medical Association (AMA). - 2574-3805. ; 3:11
-
Journal article (peer-reviewed)abstract
- Importance Higher Mediterranean diet (MED) intake has been associated with reduced risk of type 2 diabetes, but underlying biological mechanisms are unclear.Objective To characterize the relative contribution of conventional and novel biomarkers in MED-associated type 2 diabetes risk reduction in a US population.Design, Setting, and Participants This cohort study was conducted among 25 317 apparently healthy women. The participants with missing information regarding all traditional and novel metabolic biomarkers or those with baseline diabetes were excluded. Participants were invited for baseline assessment between September 1992 and May 1995. Data were collected from November 1992 to December 2017 and analyzed from December 2018 to December 2019.Exposures MED intake score (range, 0 to 9) was computed from self-reported dietary intake, representing adherence to Mediterranean diet intake.Main Outcomes and Measures Incident cases of type 2 diabetes, identified through annual questionnaires; reported cases were confirmed by either telephone interview or supplemental questionnaire. Proportion of reduced risk of type 2 diabetes explained by clinical risk factors and a panel of 40 biomarkers that represent different physiological pathways was estimated.Results The mean (SD) age of the 25 317 female participants was 52.9 (9.9) years, and they were followed up for a mean (SD) of 19.8 (5.8) years. Higher baseline MED intake (score ≥6 vs ≤3) was associated with as much as a 30% lower type 2 diabetes risk (age-adjusted and energy-adjusted hazard ratio, 0.70; 95% CI, 0.62-0.79; when regression models were additionally adjusted with body mass index [BMI]: hazard ratio, 0.85; 95% CI, 0.76-0.96). Biomarkers of insulin resistance made the largest contribution to lower risk (accounting for 65.5% of the MED–type 2 diabetes association), followed by BMI (55.5%), high-density lipoprotein measures (53.0%), and inflammation (52.5%), with lesser contributions from branched-chain amino acids (34.5%), very low-density lipoprotein measures (32.0%), low-density lipoprotein measures (31.0%), blood pressure (29.0%), and apolipoproteins (23.5%), and minimal contribution (≤2%) from hemoglobin A1c. In post hoc subgroup analyses, the inverse association of MED diet with type 2 diabetes was seen only among women who had BMI of at least 25 at baseline but not those who had BMI of less than 25 (eg, women with BMI <25, age- and energy-adjusted HR for MED score ≥6 vs ≤3, 1.01; 95% CI, 0.77-1.33; P for trend = .92; women with BMI ≥25: HR, 0.76; 95% CI, 0.67-0.87; P for trend < .001).Conclusions and Relevance In this cohort study, higher MED intake scores were associated with a 30% relative risk reduction in type 2 diabetes during a 20-year period, which could be explained in large part by biomarkers of insulin resistance, BMI, lipoprotein metabolism, and inflammation.
|
|
