Multi-scale biology of cardiovascular risk in psoriasis: protocol of a case-control study (Preprint)

2021 ◽  
Author(s):  
Hannah Kaiser ◽  
Amanda Kvist-Hansen ◽  
Christine Becker ◽  
Xing Wang ◽  
Benjamin McCauley ◽  
...  

BACKGROUND Patients with psoriasis have increased risk of cardiovascular disease (CVD) independent of traditional risk factors. The molecular mechanisms underlying the psoriasis-CVD connection are not fully understood. Advances in high-throughput molecular profiling technologies and computational analysis techniques offer new opportunities to improve understanding of disease connections. OBJECTIVE In this study we aim to characterize the complexity of cardiovascular risk in patients with psoriasis by integrating deep phenotypic data with systems biology techniques to perform comprehensive multi-omic analyses and construct network models of the two interacting diseases. METHODS The study includes 120 adult patients with psoriasis, namely 60 with prior atherosclerotic CVD and 60 without CVD. Half of the patients are already receiving systemic anti-psoriatic treatment. All patients complete a questionnaire and a medical interview is conducted to collect medical history and information on, for example, socioeconomics, mental health, diet and physical exercise. Participants are examined clinically with assessment of Psoriasis Area and Severity Index and undergo imaging by transthoracic echocardiography, 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) and carotid artery ultrasonography. Skin swabs are collected for analysis of microbiome metagenomics, skin biopsies and blood samples for transcriptomic profiling by RNA-sequencing, skin biopsies for immunohistochemistry, plasma samples for analyses of proteomics, lipidomics and metabolomics, blood samples for high dimensional mass cytometry, and feces samples for gut microbiome metagenomics, respectively. Bioinformatics and systems biology techniques are utilised to analyze the multi-omic data and to integrate data into a network model of CVD in patients with psoriasis. RESULTS Recruitment was completed in September 2020. A preliminary result of 18F-FDG-PET/CT data has recently been published. All analyses are underway, and results are expected to be published in 2021/22. CONCLUSIONS This system biology approach with integration of multi-omics and clinical data in patients with psoriasis with or without CVD is likely to provide novel insights into the biological mechanisms underlying these diseases and their interplay that can impact future treatment.


10.2196/28669 ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. e28669 ◽  
Author(s):  
Hannah Kaiser ◽  
Amanda Kvist-Hansen ◽  
Christine Becker ◽  
Xing Wang ◽  
Benjamin D McCauley ◽  
...  

Background Patients with psoriasis have increased risk of cardiovascular disease (CVD) independent of traditional risk factors. The molecular mechanisms underlying the psoriasis-CVD connection are not fully understood. Advances in high-throughput molecular profiling technologies and computational analysis techniques offer new opportunities to improve the understanding of disease connections. Objective We aim to characterize the complexity of cardiovascular risk in patients with psoriasis by integrating deep phenotypic data with systems biology techniques to perform comprehensive multiomic analyses and construct network models of the two interacting diseases. Methods The study aims to include 120 adult patients with psoriasis (60 with prior atherosclerotic CVD and 60 without CVD). Half of the patients are already receiving systemic antipsoriatic treatment. All patients complete a questionnaire, and a medical interview is conducted to collect medical history and information on, for example, socioeconomics, mental health, diet, and physical exercise. Participants are examined clinically with assessment of the Psoriasis Area and Severity Index and undergo imaging by transthoracic echocardiography, 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT), and carotid artery ultrasonography. Skin swabs are collected for analysis of microbiome metagenomics; skin biopsies and blood samples are collected for transcriptomic profiling by RNA sequencing; skin biopsies are collected for immunohistochemistry; plasma samples are collected for analyses of proteomics, lipidomics, and metabolomics; blood samples are collected for high-dimensional mass cytometry; and feces samples are collected for gut microbiome metagenomics. Bioinformatics and systems biology techniques are utilized to analyze the multiomic data and to integrate data into a network model of CVD in patients with psoriasis. Results Recruitment was completed in September 2020. Preliminary results of 18F-FDG-PET/CT data have recently been published, where vascular inflammation was reduced in the ascending aorta (P=.046) and aortic arch (P=.04) in patients treated with statins and was positively associated with inflammation in the visceral adipose tissue (P<.001), subcutaneous adipose tissue (P=.007), pericardial adipose tissue (P<.001), spleen (P=.001), and bone marrow (P<.001). Conclusions This systems biology approach with integration of multiomics and clinical data in patients with psoriasis with or without CVD is likely to provide novel insights into the biological mechanisms underlying these diseases and their interplay that can impact future treatment. International Registered Report Identifier (IRRID) DERR1-10.2196/28669



2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Austin J. Borja ◽  
Emily C. Hancin ◽  
Vincent Zhang ◽  
Benjamin Koa ◽  
Abhijit Bhattaru ◽  
...  


Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 164
Author(s):  
Kisoo Pahk ◽  
Eung Ju Kim ◽  
Chanmin Joung ◽  
Hyun Woo Kwon ◽  
Hong Seog Seo ◽  
...  

Obesity increases inflammation in skeletal muscle thereby promoting systemic inflammation which leads to increased risk of cardiometabolic disease. This prospective study aimed to evaluate whether the metabolic activity of psoas muscle (PM) was associated with systemic inflammation, and whether physical exercise could reduce the PM metabolic activity evaluated by 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in women with obesity. A total of 23 women with obesity who participated in a 3-month physical exercise program were enrolled. 18F-FDG PET/CT was performed before the start of the program (baseline) and after completion of the program. The maximum standardized uptake value of psoas muscle (PM SUVmax) was used for the PM metabolic activity. The SUVmax of spleen and bone marrow, and the high-sensitivity C-reactive protein were used to evaluate the systemic inflammation. At baseline, PM SUVmax was strongly correlated with the systemic inflammation. The exercise program significantly reduced the PM SUVmax, in addition to adiposity and systemic inflammation. Furthermore, we found that the association between PM SUVmax and the systemic inflammation disappeared after completion of the exercise program. In women with obesity, PM SUVmax, assessed by 18F-FDG PET/CT, was associated with obesity-induced systemic inflammation and exercise reduced the PM SUVmax and eliminated its association with systemic inflammation.



Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Tobias Saam ◽  
Axel Rominger ◽  
Sarah Wolpers ◽  
Clemens C Cyran ◽  
Peter Bartenstein ◽  
...  

Background Atherosclerosis is a systemic disease which is associated with increased vascular inflammation. The purpose of this study was to correlate glucose-uptake of arterial walls as measured by 18F-FDG PET-CT with the occurrence of cardio- and cerebrovascular events. Methods: 1000 tumor patients were examined by whole-body 18F-FDG PET-CT between 2004 to 2007. Patients’ clinical follow-up information could be obtained in 650 patients by telephone interviews (mean follow-up time 3,1y). In 22/650 patients (3.3%), cardio- or cerebrovascular events were registered, defined as cardiac death, myocardial infarction or revascularization and stroke. 6 out of 22 patients were not evaluable because of ongoing or prior steroid medication. In total, 16 PET-CT’s of patients with cardiovascular events could be evaluated and compared to PET-CT’s of 300 consecutive patients with known cardiovascular risk factors. Maximum standardized uptake values were measured from arterial walls of the ascending, thoracic and abdominal aorta, iliac and carotid arteries and corrected by dividing with the blood pool uptake in the vena cava (target-to-background ratio, TBR). Occurrence of events was correlated with TBR, age, cardiovascular risk factors and presence of calcified plaques using the Spearman’s correlation coefficient R. Multiple linear regression analysis was used to accommodate for differences in risk factors. Statistical significance was considered to be present when p<0.01. Results: Occurrence of events was significantly correlated with coronary heart disease (R=0.33; p<.001), arterial hypertension (R=0.22; p<.001), presence of hard plaques (R=0.15; p=.007) and TBR values (R=0.28; p<.001). No other significant correlations were found. When performing multiple regression analysis the association between the occurrence of events and TBR values/presence of coronary heart disease remained significant (p<.001). Conclusion: The findings of this study suggest that a higher arterial wall glucose uptake in tumor patients is associated with the occurrence of future cardio- and cerebrovascular events. TBR values as measured by 18F-FDG PET-CT could be useful for identifying high-risk patients in need of intensified medical or interventional therapy.





Pneumologie ◽  
2009 ◽  
Vol 63 (S 01) ◽  
Author(s):  
S Krüger ◽  
S Maschke ◽  
H Kley ◽  
T Merk ◽  
T Wibmer ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  


Pneumologie ◽  
2009 ◽  
Vol 63 (S 01) ◽  
Author(s):  
S Krüger ◽  
S Maschke ◽  
H Kley ◽  
T Merk ◽  
T Wibmer ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  


Author(s):  
MK Werner ◽  
JA Parker ◽  
JR English ◽  
P Aschoff ◽  
C Claussen ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  


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