Meeri Käkelä
University of Turku
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Publication
Featured researches published by Meeri Käkelä.
Molecular Imaging and Biology | 2016
Petteri Rinne; Sanna Hellberg; Max Kiugel; Jenni Virta; Xiang-Guo Li; Meeri Käkelä; Kerttuli Helariutta; Pauliina Luoto; Heidi Liljenbäck; Harri Hakovirta; Maria Gardberg; Anu J. Airaksinen; Juhani Knuuti; Antti Saraste; Anne Roivainen
PurposeRupture-prone atherosclerotic plaques are characterized by accumulation of macrophages, which have shown to express somatostatin type 2 receptors. We aimed to investigate whether somatostatin receptor-targeting positron emission tomography (PET) tracers, [68Ga]DOTANOC, [18F]FDR-NOC, and [68Ga]DOTATATE, can detect inflamed atherosclerotic plaques.ProceduresAtherosclerotic IGF-II/LDLR−/−ApoB100/100 mice were studied in vivo and ex vivo for tracer uptake into atherosclerotic plaques. Furthermore, [68Ga]DOTANOC and [68Ga]DOTATATE were compared in a head-to-head setting for in vivo PET/X-ray computed tomography (CT) imaging characteristics.ResultsEx vivo uptake of [68Ga]DOTANOC and [68Ga]DOTATATE in the aorta was higher in atherosclerotic mice compared to control C57Bl/6N mice, while the aortic uptake of [18F]FDR-NOC showed no genotype difference. Unlike [18F]FDR-NOC, [68Ga]DOTANOC and [68Ga]DOTATATE showed preferential binding to atherosclerotic plaques with plaque-to-wall ratio of 1.7 ± 0.3 and 2.1 ± 0.5, respectively. However, the aortic uptake and aorta-to-blood ratio of [68Ga]DOTANOC were higher compared to [68Ga]DOTATATE in in vivo PET/CT imaging.ConclusionOur results demonstrate superior applicability for [68Ga]DOTANOC and [68Ga]DOTATATE in the detection of atherosclerotic plaques compared to [18F]FDR-NOC.
Acta Oncologica | 2014
Aida Kiviniemi; Maria Gardberg; Anu Autio; Xiang-Guo Li; Vanina D. Heuser; Heidi Liljenbäck; Meeri Käkelä; Henri Sipilä; Jere Kurkipuro; Seppo Ylä-Herttuala; Juhani Knuuti; Heikki Minn; Anne Roivainen
Abstract Somatostatin receptor subtype 2 (sstr2) is regarded as a potential target in malignant gliomas for new therapeutic approaches. Therefore, visualizing and quantifying tumor sstr2 expression in vivo would be highly relevant for the future development of sstr2-targeted therapies. The purpose of this study was to evaluate sstr2 status in experimental BT4C malignant gliomas. Methods. Rat BT4C malignant glioma cells were injected into BDIX rat brain or subcutaneously into nude mice. Tumor uptake of [68Ga]DOTA-(Tyr3)-Octreotide ([68Ga]DOTATOC), a somatostatin analog binding to sstr2, was studied by positron emission tomography/computed tomography (PET/CT). Additionally, subcutaneous tumor-bearing mice underwent PET imaging with 5-deoxy-5-[18F]fluororibose-NOC ([18F]FDR-NOC), a novel glycosylated peptide tracer also targeting sstr2. Ex vivo tissue radioactivity measurements, autoradiography and immunohistochemistry were performed to study sstr2 expression. Results. Increased tumor uptake of [68Ga]DOTATOC was detected at autoradiography with mean tumor-to-brain ratio of 68 ± 30 and tumor-to-muscle ratio of 9.2 ± 3.8 for rat glioma. High tumor-to-muscle ratios were also observed in subcutaneous tumor-bearing mice after injection with [68Ga]DOTATOC and [18F]FDR-NOC with both autoradiography (6.7 ± 1.5 and 4.3 ± 0.8, respectively) and tissue radioactivity measurements (6.5 ± 0.8 and 4.8 ± 0.6, respectively). Furthermore, sstr2 immunohistochemistry showed positive staining in both tumor models. However, surprisingly low tumor signal compromised PET imaging. Mean SUVmax for rat gliomas was 0.64 ± 0.28 from 30 to 60 min after [68Ga]DOTATOC injection. The majority of subcutaneous tumors were not visualized by [68Ga]DOTATOC or [18F]FDR-NOC PET. Conclusions. Experimental BT4C gliomas show high expression of sstr2. Weak signal in PET imaging, however, suggests only limited benefit of [68Ga]DOTATOC or [18F]FDR-NOC PET/CT in this tumor model for in vivo imaging of sstr2 status.
RSC Advances | 2018
Meeri Käkelä; Pauliina Luoto; Tapio Viljanen; Helena E. Virtanen; Heidi Liljenbäck; Sirpa Jalkanen; Juhani Knuuti; Anne Roivainen; Xiang-Guo Li
We finally managed to establish a protocol for generating Good Manufacturing Practice (GMP)-grade gallium-68-labelled 1,4,7,0-tetraazacyclododecane-1,4,7,10-tetraacetic acid conjugated sialic acid-binding immunoglobulin-like lectin 9 motif containing peptide ([68Ga]Ga-DOTA-Siglec-9), the first radiopharmaceutical for positron emission tomography imaging of vascular adhesion protein 1.
Contrast Media & Molecular Imaging | 2017
Helena E. Virtanen; Johanna M. U. Silvola; Anu Autio; Xiang-Guo Li; Heidi Liljenbäck; Sanna Hellberg; Riikka Siitonen; Mia Ståhle; Meeri Käkelä; Anu J. Airaksinen; Kerttuli Helariutta; Tuula Tolvanen; Tibor Z. Veres; Antti Saraste; Juhani Knuuti; Sirpa Jalkanen; Anne Roivainen
Sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) is a ligand of inflammation-inducible vascular adhesion protein-1 (VAP-1). We compared 68Ga-DOTA- and 18F-fluorodeoxyribose- (FDR-) labeled Siglec-9 motif peptides for PET imaging of inflammation. Methods. Firstly, we examined 68Ga-DOTA-Siglec-9 and 18F-FDR-Siglec-9 in rats with skin/muscle inflammation. We then studied 18F-FDR-Siglec-9 for the detection of inflamed atherosclerotic plaques in mice and compared it with previous 68Ga-DOTA-Siglec-9 results. Lastly, we estimated human radiation dosimetry from the rat data. Results. In rats, 68Ga-DOTA-Siglec-9 (SUV, 0.88 ± 0.087) and 18F-FDR-Siglec-9 (SUV, 0.77 ± 0.22) showed comparable (P = 0.29) imaging of inflammation. In atherosclerotic mice, 18F-FDR-Siglec-9 detected inflamed plaques with a target-to-background ratio (1.6 ± 0.078) similar to previously tested 68Ga-DOTA-Siglec-9 (P = 0.35). Human effective dose estimates for 68Ga-DOTA-Siglec-9 and 18F-FDR-Siglec-9 were 0.024 and 0.022 mSv/MBq, respectively. Conclusion. Both tracers are suitable for PET imaging of inflammation. The easier production and lower cost of 68Ga-DOTA-Siglec-9 present advantages over 18F-FDR-Siglec-9, indicating it as a primary choice for clinical studies.
Arthritis Research & Therapy | 2015
H. Virtanen; Anu Autio; Riikka Siitonen; Heidi Liljenbäck; Tiina Saanijoki; Petteri Lankinen; Jussi Mäkilä; Meeri Käkelä; Jarmo Teuho; Nina Savisto; Kimmo Jaakkola; Sirpa Jalkanen; Anne Roivainen
Bioorganic & Medicinal Chemistry | 2014
Jussi Mäkilä; Satish Jadhav; Anu Kiviniemi; Meeri Käkelä; Heidi Liljenbäck; Päivi Poijärvi-Virta; Tiina Laitala-Leinonen; Harri Lönnberg; Anne Roivainen
Bioconjugate Chemistry | 2016
Satish Jadhav; Meeri Käkelä; Jussi Mäkilä; Max Kiugel; Heidi Liljenbäck; Jenni Virta; Päivi Poijärvi-Virta; Tiina Laitala-Leinonen; Ville Kytö; Sirpa Jalkanen; Antti Saraste; Anne Roivainen; Harri Lönnberg
Journal of Labelled Compounds and Radiopharmaceuticals | 2017
Svend Borup Jensen; Meeri Käkelä; Lars Jødal; Olli Moisio; Aage Kristian Olsen Alstrup; Sirpa Jalkanen; Anne Roivainen
Journal of Translational Medicine | 2017
Maria Grönman; Miikka Tarkia; Tuomas Kiviniemi; Paavo Halonen; Antti Kuivanen; Timo Savunen; Tuula Tolvanen; Jarmo Teuho; Meeri Käkelä; Olli Metsälä; Mikko Pietilä; Pekka Saukko; Seppo Ylä-Herttuala; Juhani Knuuti; Anne Roivainen; Antti Saraste
EJNMMI research | 2015
Anu Autio; Helena E. Virtanen; Tuula Tolvanen; Heidi Liljenbäck; Vesa Oikonen; Tiina Saanijoki; Riikka Siitonen; Meeri Käkelä; Andrea Schüssele; Mika Teräs; Anne Roivainen