Is acute-phase serum amyloid a protein a risk factor for type 2 diabetes

Type 2 diabetes is a metabolic disorder with globally increasing prevalence. Therefore, the identification of etiological factors is of ascending relevance for the understanding, treatment, and prevention of the disease. Levels of the acute-phase serum amyloid A (A-SAA) protein have been found to be elevated in type 2 diabetic subjects, but little is known about their causal implication in the development of type 2 diabetes so far. This doctoral thesis presents an epidemiological perspective on the association between circulating levels of A-SAA and risk of type 2 diabetes and assesses a possible causality in this association using a genetic approach. Three studies were conducted. In a prospective cohort study, A-SAA levels were measured in 836 initially non-diabetic, elderly, Western European subjects without clinically overt inflammation who participated in a seven-year follow-up examination. Results of this study provided first evidence that levels of A-SAA are elevated years before the manifestation of type 2 diabetes independent of other type 2 diabetes risk factors. However, adjustment for parameters related to glucose metabolism, particularly levels of 2h-glucose, attenuated the association suggesting a potential link via post-challenge hyperglycemia in the association between elevated levels of A-SAA and type 2 diabetes or, alternatively, a possible reverse causality between levels of A-SAA and 2h-glucose. In a meta-analysis of genome-wide association studies (GWAS) on levels of A-SAA conducted in three population-based studies and one prospective case-cohort study including a total of 4,212 participants of European descent two biologically highly plausible genetic susceptibility loci for A-SAA proteins at chromosome 11p15.5-p13 and chromosome 1p31 were identified. One of these loci represented a suitable candidate for a Mendelian Randomization study. In Mendelian Randomization studies, genetic variants are used as proxies for a biomarker. These studies benefit from the fact that genotypes are randomly assorted at meiosis and are largely independent of non-genetic confounding and disease processes. Thus, they constitute a genetic approach to assess whether the association between a biomarker and a disease is causal. The associations between genetic variants of the candidate locus and type 2 diabetes were extracted from the results of a meta-analysis of eight GWAS (8,130 cases, 38,987 controls) published by DIAGRAM, a large diabetes and genetic consortium. In spite of sufficient power, the above mentioned associations were not significant suggesting that there are genetic mechanisms that raise plasma levels of A-SAA without translating into an increase in type 2 diabetes risk. In conclusion, results of this doctoral thesis indicated that levels of A-SAA are elevated years before the manifestation of type 2 diabetes but could not provide evidence that the association is truly causal using a genetic approach. Rather it seems likely that the association between levels of A-SAA and risk of type 2 diabetes is substantially influenced by post-challenge hyperglycemia. Time-series studies are warranted to elucidate the role of post-challenge hyperglycemia in this association

Multicenterstudie zur Validierung der Klassifikation 1.1 für Frakturen langer Röhrenknochen im Wachstumsalter

Fragestellung Zur Qualitätsbeurteilung von Diagnose und Therapie kindlicher Frakturen bedarf es einer Frakturklassifikation, die Aufwand und Ergebnisse vergleichbar macht und die Besonderheiten kindlicher Frakturen berücksichtigt. Die für den Erwachsenen gebräuchliche AO-Klassifikation kann danach nicht auf kindliche Frakturen übertragen werden. Eine im Jahr 2000 bereits vorgelegte Klassifikation (Eur. J. Trauma 2000) wurde überarbeitet und in der sechsdimensionalen Version 1.1 in einer multizentischen Studie validiert. Hierbei erfolgte eine Unterscheidung der langen Röhrenknochen, der Lokalisation am Knochen, eine Bestimmung der paarigen Knochen sowie des Frakturverlaufs im Bereich der Epiphyse, Metaphyse und Diaphyse. Die supracondylären Humerusfrakturen wurden gesondert klassifiziert. Methoden 13 Kliniken (D, CH, A) erfassten in 3 Monaten 720 Frakturen und 452 Kontrollen nach bis zu 9 Monaten mit standardisierten Fragebögen sowie 1480 digitalisierte Röntgenbilder. Aus diesem Datenpool wurde nach Vorevaluation der relevantesten Frakturtypen durch 7 verblindete Untersucher und Varianzanalyse die finale Gruppe von 150 Fällen des gesamten Frakturspektrums klassifiziert. Statistisch untersucht wurde die Wiederholbarkeitsanalyse über Zeit (Test-Retest) und die Interobservervariabilität. Ergebnisse Korrelationen (r) zwischen 0.99 und 0.91 ergaben sich für die Dimensionen 1 (Ober-/Unterarm, Ober-/Unterschenkel), 2 (distal, zentral, proximal) und 4 (Ulna, Radius, Tibia, Fibula), von 0.74 für Dimension 6 (Subtypisierung der Dislokation bei supracond. Frakturen), 0.66 für Dimension 5 (Subtypisierung des Frakturverlaufs) und 0.33 für Dimension 3 (Epiphyse, Metaphyse, Diaphyse). Bei der Wiederholung stimmten für die Gesamtgruppe in 18% der Fälle alle sechs Dimensionen überein, in 71% fünf und in 88% vier Dimensionen der Klassifikation. Schlussfolgerungen Insgesamt stellt die vorgestellte Klassifikation ein sinnvolles Instrument in der Frakturbehandlung von Kindern dar, indem es eine klare Fraktureinteilung im Kindesalter erlaubt. Die Evaluation zeigt jedoch auch die Schwierigkeiten einer Frakturklassifikation in speziellen Untergruppen auf. Da diese hinsichtlich der Therapie keine Relevanz haben, ist eine weitere Vereinfachung möglich. Meeting Abstract (DGU 2004) am 68. Jahrestagung der Deutschen Gesellschaft für Unfallchirurgie ; 90. Tagung der Deutschen Gesellschaft für Orthopädie und Orthopädische Chirurgie ; 45. Tagung des Berufsverbandes der Fachärzte für Orthopädie in Zusammenarbeit mit dem Deutschen Verband für Physiotherapie – Zentralverband der Physiotherapeuten/Krankengymnasten ; 19. bis 23.10.2004, Berli

Epigenetic Signatures at AQP3 and SOCS3 Engage in Low-Grade Inflammation across Different Tissues

Background Elevated levels of C-reactive protein (CRP, determined by a high-sensitivity assay) indicate low-grade inflammation which is implicated in many age-related disorders. Epigenetic studies on CRP might discover molecular mechanisms underlying CRP regulation. We aimed to identify DNA methylation sites related to CRP concentrations in cells and tissues regulating low-grade inflammation. Results Genome-wide DNA methylation was measured in peripheral blood in 1,741 participants of the KORA F4 study using Illumina HumanMethylation450 BeadChip arrays. Four CpG sites (located at BCL3, AQP3, SOCS3, and cg19821297 intergenic at chromosome 19p13.2, P <= 1.01E-07) were significantly hypomethylated at high CRP concentrations independent of various confounders including age, sex, BMI, smoking, and white blood cell composition. Findings were not sex-specific. CRP-related top genes were enriched in JAK/STAT pathways (Benjamini-Hochberg corrected P < 0.05). Results were followed-up in three studies using DNA from peripheral blood (EPICOR, n = 503) and adipose tissue (TwinsUK, n = 368) measured as described above and from liver tissue (LMU liver cohort, n = 286) measured by MALDI-TOF mass spectrometry using EpiTYPER. CpG sites at the AQP3 locus (significant p-values in peripheral blood = 1.72E-03 and liver tissue = 1.51E-03) and the SOCS3 locus (p-values in liver < 2.82E-05) were associated with CRP in the validation panels. Conclusions Epigenetic modifications seem to engage in low-grade inflammation, possibly via JAK/STAT mediated pathways. Results suggest a shared relevance across different tissues at the AQP3 locus and highlight a role of DNA methylation for CRP regulation at the SOCS3 locus

Extensive alterations of the whole-blood transcriptome are associated with body mass index: results of an mRNA profiling study involving two large population-based cohorts

Background: Obesity, defined as pathologically increased body mass index (BMI),is strongly related to an increased risk for numerous common cardiovascular and metabolic diseases. It is particularly associated with insulin resistance, hyperglycemia, and systemic oxidative stress and represents the most important risk factor for type 2 diabetes (T2D). However, the pathophysiological mechanisms underlying these associations are still not completely understood. Therefore, in order to identify potentially disease-relevant BMI-associated gene expression signatures, a transcriptome-wide association study (TWAS) on BMI was performed. Methods: Whole-blood mRNA levels determined by array-based transcriptional profiling were correlated with BMI in two large independent population-based cohort studies (KORA F4 and SHIP-TREND) comprising a total of 1977 individuals. Results: Extensive alterations of the whole-blood transcriptome were associated with BMI: More than 3500 transcripts exhibited significant positive or negative BMI-correlation. Three major whole-blood gene expression signatures associated with increased BMI were identified. The three signatures suggested: i) a ratio shift from mature erythrocytes towards reticulocytes, ii) decreased expression of several genes essentially involved in the transmission and amplification of the insulin signal, and iii) reduced expression of several key genes involved in the defence against reactive oxygen species (ROS). Conclusions: Whereas the first signature confirms published results, the other two provide possible mechanistic explanations for well-known epidemiological findings under conditions of increased BMI, namely attenuated insulin signaling and increased oxidative stress. The putatively causative BMI-dependent down-regulation of the expression of numerous genes on the mRNA level represents a novel finding. BMI-associated negative transcriptional regulation of insulin signaling and oxidative stress management provide new insights into the pathogenesis of metabolic syndrome and T2D

DNA Methylation Signatures of Chronic Low-Grade Inflammation Are Associated with Complex Diseases

Background: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation. Results: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P \u3c 1.15 × 10–7) in the discovery panel of European ancestry and replicated (P \u3c 2.29 × 10–4) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P \u3c 8.47 × 10–5), ten (17%) CpG sites were associated with a nearby genetic variant (P \u3c 2.50 × 10–3), and 51 (88%) were also associated with at least one related cardiometabolic entity (P \u3c 9.58 × 10–5). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants. Conclusion: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation

Genome-Wide Association Study Identifies Two Novel Regions at 11p15.5-p13 and 1p31 with Major Impact on Acute-Phase Serum Amyloid A

Elevated levels of acute-phase serum amyloid A (A-SAA) cause amyloidosis and are a risk factor for atherosclerosis and its clinical complications, type 2 diabetes, as well as various malignancies. To investigate the genetic basis of A-SAA levels, we conducted the first genome-wide association study on baseline A-SAA concentrations in three population-based studies (KORA, TwinsUK, Sorbs) and one prospective case cohort study (LURIC), including a total of 4,212 participants of European descent, and identified two novel genetic susceptibility regions at 11p15.5-p13 and 1p31. The region at 11p15.5-p13 (rs4150642; p = 3.20×10−111) contains serum amyloid A1 (SAA1) and the adjacent general transcription factor 2 H1 (GTF2H1), Hermansky-Pudlak Syndrome 5 (HPS5), lactate dehydrogenase A (LDHA), and lactate dehydrogenase C (LDHC). This region explains 10.84% of the total variation of A-SAA levels in our data, which makes up 18.37% of the total estimated heritability. The second region encloses the leptin receptor (LEPR) gene at 1p31 (rs12753193; p = 1.22×10−11) and has been found to be associated with CRP and fibrinogen in previous studies. Our findings demonstrate a key role of the 11p15.5-p13 region in the regulation of baseline A-SAA levels and provide confirmative evidence of the importance of the 1p31 region for inflammatory processes and the close interplay between A-SAA, leptin, and other acute-phase proteins

The trans-ancestral genomic architecture of glycemic traits

Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.Peer reviewe

Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals

Type 2 diabetes (T2D) affects the health of millions of people worldwide. The identification of genetic determinants associated with changes in glycemia over time might illuminate biological features that precede the development of T2D. Here we conducted a genome-wide association study of longitudinal fasting glucose changes in up to 13,807 non-diabetic individuals of European descent from nine cohorts. Fasting glucose change over time was defined as the slope of the line defined by multiple fasting glucose measurements obtained over up to 14 years of observation. We tested for associations of genetic variants with inverse-normal transformed fasting glucose change over time adjusting for age at baseline, sex, and principal components of genetic variation. We found no genome-wide significant association (P < 5 x 10(-8)) with fasting glucose change over time. Seven loci previously associated with T2D, fasting glucose or HbA1c were nominally (P < 0.05) associated with fasting glucose change over time. Limited power influences unambiguous interpretation, but these data suggest that genetic effects on fasting glucose change over time are likely to be small. A public version of the data provides a genomic resource to combine with future studies to evaluate shared genetic links with T2D and other metabolic risk traits.Peer reviewe

Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals

Type 2 diabetes (T2D) affects the health of millions of people worldwide. The identification of genetic determinants associated with changes in glycemia over time might illuminate biological features that precede the development of T2D. Here we conducted a genome-wide association study of longitudinal fasting glucose changes in up to 13,807 non-diabetic individuals of European descent from nine cohorts. Fasting glucose change over time was defined as the slope of the line defined by multiple fasting glucose measurements obtained over up to 14 years of observation. We tested for associations of genetic variants with inverse-normal transformed fasting glucose change over time adjusting for age at baseline, sex, and principal components of genetic variation. We found no genome-wide significant association (P < 5 × 10−8) with fasting glucose change over time. Seven loci previously associated with T2D, fasting glucose or HbA1c were nominally (P < 0.05) associated with fasting glucose change over time. Limited power influences unambiguous interpretation, but these da

DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.

BACKGROUND: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation. RESULTS: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10-7) in the discovery panel of European ancestry and replicated (P < 2.29 × 10-4) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10-5), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10-3), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10-5). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants. CONCLUSION: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation