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1.
Choe, H.J.* ; Chang, W.* ; Blüher, M. ; Heymsfield, S.B.* & Lim, S.*: Independent association of thigh muscle fat density with vascular events in Korean adults. Cardiovasc. Diabetol. 23:44 (2024)
2.
Claessen, H.* et al.: Sex-specific trends in incidence of first myocardial infarction among people with and without diabetes between 1985 and 2016 in a German region. Cardiovasc. Diabetol. 23:110 (2024)
3.
Elhadad, M.A. et al.: Plasma proteome association with coronary heart disease and carotid intima media thickness: Results from the KORA F4 study. Cardiovasc. Diabetol. 23:181 (2024)
4.
Harada, M. et al.: Bidirectional modulation of TCA cycle metabolites and anaplerosis by metformin and its combination with SGLT2i. Cardiovasc. Diabetol. 23:199 (2024)
5.
Hörber, S. et al.: Blood coagulation in Prediabetes clusters-impact on all-cause mortality in individuals undergoing coronary angiography. Cardiovasc. Diabetol. 23:306 (2024)
6.
Luo, H. et al.: Association of plasma proteomics with incident coronary heart disease in individuals with and without type 2 diabetes: Results from the population-based KORA study. Cardiovasc. Diabetol. 23:53 (2024)
7.
Raeisi-Dehkordi, H.* et al.: The mediatory role of androgens on sex differences in glucose homeostasis and incidence of type 2 diabetes: The KORA study. Cardiovasc. Diabetol. 23:411 (2024)
8.
Sachs, S. et al.: Correction: GIP receptor agonism improves dyslipidemia and atherosclerosis independently of body weight loss in preclinical mouse model for cardio-metabolic disease. Cardiovasc. Diabetol. 23:341 (2024)
9.
Schnell, O.* et al.: CVOT Summit Report 2023: New cardiovascular, kidney, and metabolic outcomes. Cardiovasc. Diabetol. 23:104 (2024)
10.
Prystupa, K. et al.: Clusters of prediabetes and type 2 diabetes stratify all-cause mortality in a cohort of participants undergoing invasive coronary diagnostics. Cardiovasc. Diabetol. 22:211 (2023)
11.
Sachs, S. et al.: GIP receptor agonism improves dyslipidemia and atherosclerosis independently of body weight loss in preclinical mouse model for cardio-metabolic disease. Cardiovasc. Diabetol. 22:217 (2023)
12.
Shi, M. et al.: Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts. Cardiovasc. Diabetol. 22:141 (2023)
13.
Birukov, A.* ; Polemiti, E.* ; Jäger, S.* ; Stefan, N. & Schulze, M.B.*: Fetuin-A and risk of diabetes-related vascular complications: A prospective study. Cardiovasc. Diabetol. 21:6 (2022)
14.
Sujana, C. et al.: Associations of the vasoactive peptides CT-proET-1 and MR-proADM with incident type 2 diabetes: Results from the BiomarCaRE Consortium. Cardiovasc. Diabetol. 21:99 (2022)
15.
Elhadad, M.A. et al.: Metabolic syndrome and the plasma proteome: From association to causation. Cardiovasc. Diabetol. 20:111 (2021)
16.
Markus, M.R.P.* et al.: Association of sex-specific differences in lipoprotein(a) concentrations with cardiovascular mortality in individuals with type 2 diabetes mellitus. Cardiovasc. Diabetol. 20:168 (2021)
17.
Sinning, C.* et al.: Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: Results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium. Cardiovasc. Diabetol. 20:223 (2021)
18.
Huth, C. et al.: Biomarker-defined pathways for incident type 2 diabetes and coronary heart disease-a comparison in the MONICA/KORA study. Cardiovasc. Diabetol. 19:32 (2020)
19.
Sujana, C. et al.: Associations of cardiac stress biomarkers with incident type 2 diabetes and changes in glucose metabolism: KORA F4/FF4 study. Cardiovasc. Diabetol. 19 (2020)
20.
Markus, M.R.P.* et al.: Glucose and insulin levels are associated with arterial stiffness and concentric remodeling of the heart. Cardiovasc. Diabetol. 18:145 (2019)
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