This file was generated on 2025-12-19 by Nikola Lübbering

A GENERAL INFORMATION

1. Title of the dataset: Clinical dataset on monocyte cholesterol crystal uptake and cyclodextrin exposure in patients undergoing coronary angiography

2. Brief description of the research project and its aims: This observational study includes patients undergoing diagnostic coronary angiography. For each participant we document demographic characteristics, cardiovascular risk factors, angiographic findings (presence and extent of CAD, PCI), laboratory markers of inflammation and metabolism, and medication at the time of the study. In addition, we assess cholesterol crystal (CC) uptake by circulating monocytes and the corresponding cyclodextrin (CD)-related effect (ΔCC) as imaging-/signal–derived measures. The overall purpose is to characterize this patient cohort and to examine whether CC uptake and its change are related to the burden of coronary artery disease and to clinically relevant parameters such as hypertension, diabetes mellitus, lipid profile, inflammatory markers (e.g. CRP, leukocytes) and current cardiovascular medication. 

3. Author Information
	A. Investigator Contact Information: 
		Name: Dr. Nikola Lübbering
		Institution: Medizinische Klinik und Poliklinik II, Herzzentrum, Universitätsklinikum Bonn
		Address: Venusberg-Campus 1, 53127 Bonn, Germany 
		Email: nikola.luebbering@ukbonn.de
		ORCID: 0009-0003-6239-2919
		
	B. Project Supervisor: 
		Name: Prof. Dr. Sebastian Zimmer
		Institution: Medizinische Klinik und Poliklinik II, Herzzentrum, Universitätsklinikum Bonn
		Address: Venusberg-Campus 1, 53127 Bonn, Germany
		Email: sebastian.zimmer@ukbonn.de
		ORCID: 0000-0002-1531-2088
		
	C. In case of questions related to this dataset, please contact:
		Name: Dr. Nikola Lübbering
		Address: Medizinische Klinik und Poliklinik II, Herzzentrum, Universitätsklinikum Bonn, Germany, 
		Address: Venusberg-Campus 1, 53127 Bonn
		Email: nikola.luebbering@ukbonn.de
		ORCID: 0009-0003-6239-2919
		
4. Date of data collection: from 2017-11-15 to 2018-02-14

5. Information about funding sources that supported the collection of the data:
	This data collection was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – grant no. 397484323 – TRR259 – A02. 

6. Language of dataset: English 

7. Geographic location of data collection: Universitätsklinikum Bonn, Venusberg-Campus 1, 53127 Bonn, Germany 

B DATA & FILE OVERVIEW
	
	1. File List: S1_Data.csv, S1_Data_DataDictionary.csv 
	
	2. Are there multiple versions of the dataset? No
	
	3. Additional related data collected that was not included in the current data package: No additional related data 

C SHARING/ACCESS INFORMATION
	
	1. Was data derived from another source: no
	
	2. Licenses/restrictions placed on the data: CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

	3. Links to publications that cite or use the data: 
		IsSupplementTo: https://doi.org/10.1371/journal.pone.0338635

D METHODOLOGICAL INFORMATION
	
	1. Description of methods used for collection/generation of data:
		
		Organism: Human
		
		Age: 37-92 Years
		
		Sex: male, female
		
		Sample collection protocol: Whole blood samples were collected from 76 patients undergoing coronary angiography 
		
		Sample preparation protocol: For separation of peripheral blood mononuclear cells (PBMC), a cell separation medium with a polyester gel and a density gradient liquid was used. PBMC were dissolved in the patient`s own serum (7.2 ml) and diluted in (7.8 ml) phosphate-buffered saline (PBS). 

		Analysis protocol: The PBMC were preincubated with 2-Hydroxypropyl-A-CD (10 mM) or PBS control for 6h at 37°C and subsequently incubated with CC (120 x 106 particles) for 30 min at 37°C. CC-uptake by monocytes was evaluated and quantified by flow cytometry. After stimulation with CD and CC, PBMC were treated with 12.5 µl 4 % paraformaldehyde in PBS. To differentiate monocytes from lymphocytes and cell debris, we used three different monoclonal antibodies: PE anti-human CD11b (Clone ICRF44, BioLegend, San Diego, CA, USA), FITC anti-human CD14 (Clone M5E2, BioLegend) und PerCP anti-human CD45 (Clone 2D1, BioLegend) (Dilution: 1 µg/test). 

	2. Methods for processing the data: CC uptake was measured using the protocol described above. The CCΔCD value was calculated as the difference between CC uptake without CD and CC uptake with CD. 

	3. Instrument- and/or software-specific information needed to interpret the data: 		
		
		Analysis software: Graph Pad Prism 7, SPSS Statistics 25

	4. People involved in sample collection, processing, analysis and/or submission: 
		Luebbering N (ORCID: 0009-0003-6239-2919)
		Zimmer S (ORCID: 0000-0002-1531-2088)
		Krogmann A (ORCID: 0000-0002-1375-9759)
		Latz E (ORCID: 0000-0003-1488-5666)
		Nickenig G (ORCID: 0000-0003-2944-6033)
		Jansen F (ORCID: 0000-0001-6962-5330)

E DATA-SPECIFIC INFORMATION FOR: 
	
	S1_Data.csv
		Header: true
		Delimiter: , (comma)
		Data description: S1_Data_DataDictionary.csv

	S1_Data_DataDictionary.csv
		Delimiter: , (comma)
		Value indicating missing data: NA (not applicable)