Relationship between renal oxidative stress levels and disease severity in patients with chronic kidney disease assessed by [Cu-64]ATSM PET/MRI
The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing 64 Cu-diacetyl-bis(N 4 -methylthiosemicarba...
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Published in | Scientific reports Vol. 15; no. 1; pp. 7227 - 9 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Nature Publishing Group UK
28.02.2025
Nature Publishing Group Nature Portfolio |
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ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/s41598-024-85027-2 |
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Abstract | The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing
64
Cu-diacetyl-bis(N
4
-methylthiosemicarbazonate) (
64
Cu-ATSM) as the PET tracer for OS imaging. Thirty patients with CKD (66.4 ± 8.2 y.o.) and seven healthy controls (HC) subjects (58.3 ± 3.8 y.o.) underwent
64
Cu-ATSM PET/MRI. Participants were categorized into three groups based on their estimated glomerular filtration rate (eGFR): HC, mild CKD (stages 2-3a), and advanced CKD (stages 3b-5). All subjects underwent 30-min dynamic PET/MRI starting with the injection of
64
Cu-ATSM to evaluate renal blood flow (RBF) and OS levels. RBF (mL/min/100 g) images were calculated from the first 3 min PET data, and standardized uptake value (SUV) images were obtained from delayed frames of 15–30 min after injection. The
64
Cu-ATSM SUV images were corrected to RBF-adjusted SUV using individual RBF images to estimate the OS levels of individual kidneys using the following equation: adjusted OS index (aOSi) = (SUV/RBF)x100. Significant correlation was observed between eGFR and RBF (
r
= 0.81,
P
< 0.001). RBF in patients with advanced CKD is significantly lower than that in HC (
P
< 0.001) and patients with mild CKD (
P
= 0.004).
64
Cu-ATSM SUV did not differ significantly among the three groups (
P
= 0.171).
64
Cu-ATSM SUVs did not correlate with creatinine in the HC subjects or in the patients with CKD. However, these values did correlate with eGFR (
r
= 0.33,
P
= 0.049) in all subjects, whereas the CKD patients showed no significant correlation. Following RBF correction, the aOSi demonstrated significant correlations with creatinine (
r
= 0.75,
P
< 0.001), eGFR (
r
= -0.65,
P
< 0.001), and CKD stages (
r
= 0.57,
P
< 0.001) in all subjects. This preliminary study has revealed that
64
Cu-ATSM PET may provide a estimate of renal OS reasonably in CKD patients noninvasively. Increased aOSi values were correlated with the CKD stages and creatinine levels, suggesting that OS increases with the severity of renal dysfunction. |
---|---|
AbstractList | The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing
64
Cu-diacetyl-bis(N
4
-methylthiosemicarbazonate) (
64
Cu-ATSM) as the PET tracer for OS imaging. Thirty patients with CKD (66.4 ± 8.2 y.o.) and seven healthy controls (HC) subjects (58.3 ± 3.8 y.o.) underwent
64
Cu-ATSM PET/MRI. Participants were categorized into three groups based on their estimated glomerular filtration rate (eGFR): HC, mild CKD (stages 2-3a), and advanced CKD (stages 3b-5). All subjects underwent 30-min dynamic PET/MRI starting with the injection of
64
Cu-ATSM to evaluate renal blood flow (RBF) and OS levels. RBF (mL/min/100 g) images were calculated from the first 3 min PET data, and standardized uptake value (SUV) images were obtained from delayed frames of 15–30 min after injection. The
64
Cu-ATSM SUV images were corrected to RBF-adjusted SUV using individual RBF images to estimate the OS levels of individual kidneys using the following equation: adjusted OS index (aOSi) = (SUV/RBF)x100. Significant correlation was observed between eGFR and RBF (
r
= 0.81,
P
< 0.001). RBF in patients with advanced CKD is significantly lower than that in HC (
P
< 0.001) and patients with mild CKD (
P
= 0.004).
64
Cu-ATSM SUV did not differ significantly among the three groups (
P
= 0.171).
64
Cu-ATSM SUVs did not correlate with creatinine in the HC subjects or in the patients with CKD. However, these values did correlate with eGFR (
r
= 0.33,
P
= 0.049) in all subjects, whereas the CKD patients showed no significant correlation. Following RBF correction, the aOSi demonstrated significant correlations with creatinine (
r
= 0.75,
P
< 0.001), eGFR (
r
= -0.65,
P
< 0.001), and CKD stages (
r
= 0.57,
P
< 0.001) in all subjects. This preliminary study has revealed that
64
Cu-ATSM PET may provide a estimate of renal OS reasonably in CKD patients noninvasively. Increased aOSi values were correlated with the CKD stages and creatinine levels, suggesting that OS increases with the severity of renal dysfunction. The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing 64Cu-diacetyl-bis(N4-methylthiosemicarbazonate) (64Cu-ATSM) as the PET tracer for OS imaging. Thirty patients with CKD (66.4 ± 8.2 y.o.) and seven healthy controls (HC) subjects (58.3 ± 3.8 y.o.) underwent 64Cu-ATSM PET/MRI. Participants were categorized into three groups based on their estimated glomerular filtration rate (eGFR): HC, mild CKD (stages 2-3a), and advanced CKD (stages 3b-5). All subjects underwent 30-min dynamic PET/MRI starting with the injection of 64Cu-ATSM to evaluate renal blood flow (RBF) and OS levels. RBF (mL/min/100 g) images were calculated from the first 3 min PET data, and standardized uptake value (SUV) images were obtained from delayed frames of 15–30 min after injection. The 64Cu-ATSM SUV images were corrected to RBF-adjusted SUV using individual RBF images to estimate the OS levels of individual kidneys using the following equation: adjusted OS index (aOSi) = (SUV/RBF)x100. Significant correlation was observed between eGFR and RBF (r = 0.81, P < 0.001). RBF in patients with advanced CKD is significantly lower than that in HC (P < 0.001) and patients with mild CKD (P = 0.004). 64Cu-ATSM SUV did not differ significantly among the three groups (P = 0.171). 64Cu-ATSM SUVs did not correlate with creatinine in the HC subjects or in the patients with CKD. However, these values did correlate with eGFR (r = 0.33, P = 0.049) in all subjects, whereas the CKD patients showed no significant correlation. Following RBF correction, the aOSi demonstrated significant correlations with creatinine (r = 0.75, P < 0.001), eGFR (r= -0.65, P < 0.001), and CKD stages (r = 0.57, P < 0.001) in all subjects. This preliminary study has revealed that 64Cu-ATSM PET may provide a estimate of renal OS reasonably in CKD patients noninvasively. Increased aOSi values were correlated with the CKD stages and creatinine levels, suggesting that OS increases with the severity of renal dysfunction. The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing Cu-diacetyl-bis(N -methylthiosemicarbazonate) ( Cu-ATSM) as the PET tracer for OS imaging. Thirty patients with CKD (66.4 ± 8.2 y.o.) and seven healthy controls (HC) subjects (58.3 ± 3.8 y.o.) underwent Cu-ATSM PET/MRI. Participants were categorized into three groups based on their estimated glomerular filtration rate (eGFR): HC, mild CKD (stages 2-3a), and advanced CKD (stages 3b-5). All subjects underwent 30-min dynamic PET/MRI starting with the injection of Cu-ATSM to evaluate renal blood flow (RBF) and OS levels. RBF (mL/min/100 g) images were calculated from the first 3 min PET data, and standardized uptake value (SUV) images were obtained from delayed frames of 15-30 min after injection. The Cu-ATSM SUV images were corrected to RBF-adjusted SUV using individual RBF images to estimate the OS levels of individual kidneys using the following equation: adjusted OS index (aOSi) = (SUV/RBF)x100. Significant correlation was observed between eGFR and RBF (r = 0.81, P < 0.001). RBF in patients with advanced CKD is significantly lower than that in HC (P < 0.001) and patients with mild CKD (P = 0.004). Cu-ATSM SUV did not differ significantly among the three groups (P = 0.171). Cu-ATSM SUVs did not correlate with creatinine in the HC subjects or in the patients with CKD. However, these values did correlate with eGFR (r = 0.33, P = 0.049) in all subjects, whereas the CKD patients showed no significant correlation. Following RBF correction, the aOSi demonstrated significant correlations with creatinine (r = 0.75, P < 0.001), eGFR (r= -0.65, P < 0.001), and CKD stages (r = 0.57, P < 0.001) in all subjects. This preliminary study has revealed that Cu-ATSM PET may provide a estimate of renal OS reasonably in CKD patients noninvasively. Increased aOSi values were correlated with the CKD stages and creatinine levels, suggesting that OS increases with the severity of renal dysfunction. Abstract The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing 64Cu-diacetyl-bis(N4-methylthiosemicarbazonate) (64Cu-ATSM) as the PET tracer for OS imaging. Thirty patients with CKD (66.4 ± 8.2 y.o.) and seven healthy controls (HC) subjects (58.3 ± 3.8 y.o.) underwent 64Cu-ATSM PET/MRI. Participants were categorized into three groups based on their estimated glomerular filtration rate (eGFR): HC, mild CKD (stages 2-3a), and advanced CKD (stages 3b-5). All subjects underwent 30-min dynamic PET/MRI starting with the injection of 64Cu-ATSM to evaluate renal blood flow (RBF) and OS levels. RBF (mL/min/100 g) images were calculated from the first 3 min PET data, and standardized uptake value (SUV) images were obtained from delayed frames of 15–30 min after injection. The 64Cu-ATSM SUV images were corrected to RBF-adjusted SUV using individual RBF images to estimate the OS levels of individual kidneys using the following equation: adjusted OS index (aOSi) = (SUV/RBF)x100. Significant correlation was observed between eGFR and RBF (r = 0.81, P < 0.001). RBF in patients with advanced CKD is significantly lower than that in HC (P < 0.001) and patients with mild CKD (P = 0.004). 64Cu-ATSM SUV did not differ significantly among the three groups (P = 0.171). 64Cu-ATSM SUVs did not correlate with creatinine in the HC subjects or in the patients with CKD. However, these values did correlate with eGFR (r = 0.33, P = 0.049) in all subjects, whereas the CKD patients showed no significant correlation. Following RBF correction, the aOSi demonstrated significant correlations with creatinine (r = 0.75, P < 0.001), eGFR (r= -0.65, P < 0.001), and CKD stages (r = 0.57, P < 0.001) in all subjects. This preliminary study has revealed that 64Cu-ATSM PET may provide a estimate of renal OS reasonably in CKD patients noninvasively. Increased aOSi values were correlated with the CKD stages and creatinine levels, suggesting that OS increases with the severity of renal dysfunction. |
ArticleNumber | 7227 |
Author | Nogami, Munenobu Kiyono, Yasushi Huang, Ya’nan Makino, Akira Toyama, Tadashi Nishikawa, Yudai Mori, Tetsuya Okazawa, Hidehiko |
Author_xml | – sequence: 1 givenname: Ya’nan surname: Huang fullname: Huang, Ya’nan organization: Biomedical Imaging Research Center, University of Fukui, Department of Radiology, Shaoxing People’s Hospital – sequence: 2 givenname: Yudai surname: Nishikawa fullname: Nishikawa, Yudai organization: Department of Nephrology, Faculty of Medical Sciences, University of Fukui – sequence: 3 givenname: Tetsuya surname: Mori fullname: Mori, Tetsuya organization: Biomedical Imaging Research Center, University of Fukui – sequence: 4 givenname: Munenobu surname: Nogami fullname: Nogami, Munenobu organization: Biomedical Imaging Research Center, University of Fukui – sequence: 5 givenname: Akira surname: Makino fullname: Makino, Akira organization: Biomedical Imaging Research Center, University of Fukui – sequence: 6 givenname: Yasushi surname: Kiyono fullname: Kiyono, Yasushi organization: Biomedical Imaging Research Center, University of Fukui – sequence: 7 givenname: Tadashi surname: Toyama fullname: Toyama, Tadashi organization: Department of Nephrology, Faculty of Medical Sciences, University of Fukui – sequence: 8 givenname: Hidehiko orcidid: 0000-0001-7046-3383 surname: Okazawa fullname: Okazawa, Hidehiko email: okazawa@u-fukui.ac.jp organization: Biomedical Imaging Research Center, University of Fukui |
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Keywords | Oxidative stress Cu-ATSM Chronic kidney disease PET/MRI 64Cu-ATSM |
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SubjectTerms | 631/443/272 64Cu-ATSM 692/4022/1585/104 692/53/2422 Aged Blood flow Case-Control Studies Chronic kidney disease Coordination Complexes Copper Radioisotopes Creatinine Diacetyl Epidermal growth factor receptors Female Glomerular Filtration Rate Humanities and Social Sciences Humans Injection Kidney - diagnostic imaging Kidney - metabolism Kidney diseases Kidneys Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Middle Aged multidisciplinary Organometallic Compounds Oxidative Stress PET/MRI Positron emission tomography Positron-Emission Tomography - methods Renal function Renal Insufficiency, Chronic - diagnostic imaging Renal Insufficiency, Chronic - metabolism Renal Insufficiency, Chronic - pathology Renal Insufficiency, Chronic - physiopathology Science Science (multidisciplinary) Severity of Illness Index Thiosemicarbazones |
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Title | Relationship between renal oxidative stress levels and disease severity in patients with chronic kidney disease assessed by [Cu-64]ATSM PET/MRI |
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