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1.
Gerards, J.* et al.: Impaired glucose metabolism in primary aldosteronism is associated with cortisol co-secretion. J. Clin. Endocrinol. Metab., accepted (2019)
2.
Huth, C. et al.: Protein markers and risk of type 2 diabetes and prediabetes: A targeted proteomics approach in the KORA F4/FF4 study. Eur. J. Epidemiol. 34, 409-422 (2019)
3.
Kowall, B.* et al.: Incidence rates of type 2 diabetes in people with impaired fasting glucose (ADA vs. WHO Criteria) and impaired glucose tolerance: Results from an older population (KORA S4/F4/FF4 Study). Diabetes Care 42, E18-E20:DC181473 (2019)
4.
Rado, S.D.* et al.: MRI-based assessment and characterization of epicardial and paracardial fat depots in the context of impaired glucose metabolism and subclinical left-ventricular alterations. Br. J. Radiol. 92:20180562 (2019)
5.
Schlesinger, S.* et al.: General and abdominal obesity and incident distal sensorimotor polyneuropathy: Insights into inflammatory biomarkers as potential mediators in the KORA F4/FF4 cohort. Diabetes Care 42, 240-247 (2019)
6.
Storz, C.* et al.: Characteristics and associated risk factors of diverticular disease assessed by magnetic resonance imaging in subjects from a Western general population. Eur. Radiol. 29, 1094-1103 (2019)
7.
Sujana, C. et al.: Generalized anxiety disorder and incident type 2 diabetes in KORA F4/FF4 study. J. Psychosomat. Res. 121, 125-125 (2019)
8.
Then, C. et al.: Serum uromodulin is associated with but does not predict type 2 diabetes in elderly KORA F4/FF4 study participants. J. Clin. Endocrinol. Metab., accepted (2019)
9.
Wawro, N. et al.: Helicobacter pylori seropositivity: Prevalence, associations, and the impact on incident metabolic diseases/risk factors in the population-based KORA study. Front. Publ. Health 7:96 (2019)
10.
Wolf, K. et al.: Persistent organic pollutants and the incidence of type 2 diabetes in the CARLA and KORA cohort studies. Environ. Int. 129, 221-228 (2019)
11.
Aslibekyan, S.* et al.: Association of methylation signals with incident coronary heart disease in an epigenome-wide assessment of circulating tumor necrosis factor. JAMA Cardiol. 3, 463-472 (2018)
12.
Breuninger, T. et al.: Differential associations between diet and prediabetes or diabetes in the KORA FF4 study. J. Nutr. Sci. 7:e34 (2018)
13.
de Las Heras Gala, T. et al.: Association of changes in inflammation with variation in glycaemia, insulin resistance and secretion based on the KORA study. Diabetes Metab. Res. Rev. 34:e3063 (2018)
14.
Elhadad, M.A. et al.: Using the plasma proteome to decipher metabolic syndrome pathophysiology and discover a diagnostic biomarker panel. Eur. Heart J. 39, 998-998 (2018)
15.
Faber, J.* et al.: Burden of cardiovascular risk factors and cardiovascular disease in childhood cancer survivors: Data from the German CVSS-study. Eur. Heart J. 39, 1555-1562 (2018)
16.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
17.
Hartmann, B.* et al.: Regional differences in type 2 diabetes treatment and outcomes in Germany-An analysis of the German DPV and DIVE registries. Diabetes Metab. Res. Rev. 34:e3049 (2018)
18.
Herder, C.* et al.: Myeloperoxidase, superoxide dismutase-3, cardiometabolic risk factors, and distal sensorimotor polyneuropathy: The KORA F4/FF4 study. Diabetes Metab. Res. Rev. 34:e3000 (2018)
19.
Herder, C.* et al.: A systemic inflammatory signature reflecting crosstalk between innate and adaptive immunity is associated with polyneuropathy: KORA F4/FF4 Study. Diabetes 67, 2434-2442 (2018)
20.
Herder, C.* et al.: A systemic inflammatory signature reflecting crosstalk between innate and adaptive immunity is associated with polyneuropathy: KORA F4/FF4 Study. Diabetologia 61, S467-S467 (2018)