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Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study
Recent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer's disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging-...
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| Published in: | Alzheimer's research & therapy 2024-10, Vol.16 (1), p.211-13, Article 211 |
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| creator | Li, Rui Fan, Yi-Ren Wang, Ying-Zhe Lu, He-Yang Li, Pei-Xi Dong, Qiang Jiang, Yan-Feng Chen, Xing-Dong Cui, Mei |
| description | Recent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer's disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging- and AD-selective iron deposition-related cognitive changes during normal aging. Here, we applied quantitative susceptibility mapping (QSM) to detect iron levels in cortical signature regions and assessed the relationships among iron, atrophy, and cognitive changes in older adults.
In this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.
Significant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [
= -0.104, p = 0.026;
= -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p |
| doi_str_mv | 10.1186/s13195-024-01575-9 |
| format | article |
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In this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.
Significant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [
= -0.104, p = 0.026;
= -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p < 0.05). Furthermore, iron levels were negatively correlated with classic MRI markers of cortical atrophy (cortical thickness, gray matter volume, and local gyrification index) in total, AG-specific signature and AD signature regions (all p < 0.05).
AG- and AD-selective iron deposition was associated with atrophy and cognitive decline in elderly people, highlighting its potential as a neuroimaging marker for cognitive aging.</description><identifier>ISSN: 1758-9193</identifier><identifier>EISSN: 1758-9193</identifier><identifier>DOI: 10.1186/s13195-024-01575-9</identifier><identifier>PMID: 39358805</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>AD signature ; Advertising executives ; Aged ; Aging ; Aging - pathology ; Aging-specific signature ; Alzheimer's disease ; Atrophy ; Atrophy - pathology ; Brain ; Brain - diagnostic imaging ; Brain - metabolism ; Brain - pathology ; Brain research ; China ; Cognition ; Cognitive Aging - physiology ; Cognitive Dysfunction - diagnostic imaging ; Cognitive Dysfunction - metabolism ; Cortical thickness ; Female ; Gerontology ; Health aspects ; Humans ; Iron ; Iron - metabolism ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Methods ; Middle Aged ; Neuropsychological Tests ; Physiological aspects</subject><ispartof>Alzheimer's research & therapy, 2024-10, Vol.16 (1), p.211-13, Article 211</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c448t-91159010e68588d38059ca83350797d08bb9520ab7f368ce3124c4b752dab9113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448274/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448274/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39358805$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Fan, Yi-Ren</creatorcontrib><creatorcontrib>Wang, Ying-Zhe</creatorcontrib><creatorcontrib>Lu, He-Yang</creatorcontrib><creatorcontrib>Li, Pei-Xi</creatorcontrib><creatorcontrib>Dong, Qiang</creatorcontrib><creatorcontrib>Jiang, Yan-Feng</creatorcontrib><creatorcontrib>Chen, Xing-Dong</creatorcontrib><creatorcontrib>Cui, Mei</creatorcontrib><title>Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study</title><title>Alzheimer's research & therapy</title><addtitle>Alzheimers Res Ther</addtitle><description>Recent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer's disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging- and AD-selective iron deposition-related cognitive changes during normal aging. Here, we applied quantitative susceptibility mapping (QSM) to detect iron levels in cortical signature regions and assessed the relationships among iron, atrophy, and cognitive changes in older adults.
In this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.
Significant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [
= -0.104, p = 0.026;
= -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p < 0.05). Furthermore, iron levels were negatively correlated with classic MRI markers of cortical atrophy (cortical thickness, gray matter volume, and local gyrification index) in total, AG-specific signature and AD signature regions (all p < 0.05).
AG- and AD-selective iron deposition was associated with atrophy and cognitive decline in elderly people, highlighting its potential as a neuroimaging marker for cognitive aging.</description><subject>AD signature</subject><subject>Advertising executives</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging - pathology</subject><subject>Aging-specific signature</subject><subject>Alzheimer's disease</subject><subject>Atrophy</subject><subject>Atrophy - pathology</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Brain - pathology</subject><subject>Brain research</subject><subject>China</subject><subject>Cognition</subject><subject>Cognitive Aging - physiology</subject><subject>Cognitive Dysfunction - diagnostic imaging</subject><subject>Cognitive Dysfunction - metabolism</subject><subject>Cortical thickness</subject><subject>Female</subject><subject>Gerontology</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Iron</subject><subject>Iron - metabolism</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Neuropsychological Tests</subject><subject>Physiological aspects</subject><issn>1758-9193</issn><issn>1758-9193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptUt9r1jAULaK4Of0HfJCCIL505kfTJr7IHE4_GPjgfA63SdpmtMlM0sH8603XbXwfSB5uuDnncO7NKYq3GJ1izJtPEVMsWIVIXSHMWlaJZ8UxbhmvBBb0-d79qHgV4zVCTUN4_bI4ooIyzhE7LvqvAawrd8G7MtdoBwdpCaYMZrDexVwnSNYNZfKl8oOzyd6aEoa1lQl-0iaUoJcpxc9lGk15Bfbv6JdyN2-gX2nRd6-LFz1M0bx5qCfF74tvV-c_qsuf33fnZ5eVqmueslfMBMLINDz70zRbFAo4pQy1otWId51gBEHX9rThylBMalV3LSMaukymJ8Vu09UeruVNsDOEO-nByvuGD4OEkKyajARNWsNo0zPAtaYUOtVBx7WiCglUk6z1ZdO6WbrZaGVcCjAdiB6-ODvKwd9KjPMwpK2zwscHheD_LCYmOduozDSBM36JkmJMGEWErND3G3SA7M263mdJtcLlGccY4VqIdbzT_6Dy0Wa2yjvT29w_IHzYI4wGpjRGPy1p_dtDINmAKvgYg-mf5sRIrmmTW9pkTpu8T5sUmfRuf0NPlMd40X_Y6s4O</recordid><startdate>20241002</startdate><enddate>20241002</enddate><creator>Li, Rui</creator><creator>Fan, Yi-Ren</creator><creator>Wang, Ying-Zhe</creator><creator>Lu, He-Yang</creator><creator>Li, Pei-Xi</creator><creator>Dong, Qiang</creator><creator>Jiang, Yan-Feng</creator><creator>Chen, Xing-Dong</creator><creator>Cui, Mei</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241002</creationdate><title>Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study</title><author>Li, Rui ; Fan, Yi-Ren ; Wang, Ying-Zhe ; Lu, He-Yang ; Li, Pei-Xi ; Dong, Qiang ; Jiang, Yan-Feng ; Chen, Xing-Dong ; Cui, Mei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-91159010e68588d38059ca83350797d08bb9520ab7f368ce3124c4b752dab9113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>AD signature</topic><topic>Advertising executives</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging - pathology</topic><topic>Aging-specific signature</topic><topic>Alzheimer's disease</topic><topic>Atrophy</topic><topic>Atrophy - pathology</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - metabolism</topic><topic>Brain - pathology</topic><topic>Brain research</topic><topic>China</topic><topic>Cognition</topic><topic>Cognitive Aging - physiology</topic><topic>Cognitive Dysfunction - diagnostic imaging</topic><topic>Cognitive Dysfunction - metabolism</topic><topic>Cortical thickness</topic><topic>Female</topic><topic>Gerontology</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Iron</topic><topic>Iron - metabolism</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Neuropsychological Tests</topic><topic>Physiological aspects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Fan, Yi-Ren</creatorcontrib><creatorcontrib>Wang, Ying-Zhe</creatorcontrib><creatorcontrib>Lu, He-Yang</creatorcontrib><creatorcontrib>Li, Pei-Xi</creatorcontrib><creatorcontrib>Dong, Qiang</creatorcontrib><creatorcontrib>Jiang, Yan-Feng</creatorcontrib><creatorcontrib>Chen, Xing-Dong</creatorcontrib><creatorcontrib>Cui, Mei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>Alzheimer's research & therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Rui</au><au>Fan, Yi-Ren</au><au>Wang, Ying-Zhe</au><au>Lu, He-Yang</au><au>Li, Pei-Xi</au><au>Dong, Qiang</au><au>Jiang, Yan-Feng</au><au>Chen, Xing-Dong</au><au>Cui, Mei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study</atitle><jtitle>Alzheimer's research & therapy</jtitle><addtitle>Alzheimers Res Ther</addtitle><date>2024-10-02</date><risdate>2024</risdate><volume>16</volume><issue>1</issue><spage>211</spage><epage>13</epage><pages>211-13</pages><artnum>211</artnum><issn>1758-9193</issn><eissn>1758-9193</eissn><abstract>Recent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer's disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging- and AD-selective iron deposition-related cognitive changes during normal aging. Here, we applied quantitative susceptibility mapping (QSM) to detect iron levels in cortical signature regions and assessed the relationships among iron, atrophy, and cognitive changes in older adults.
In this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.
Significant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [
= -0.104, p = 0.026;
= -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p < 0.05). Furthermore, iron levels were negatively correlated with classic MRI markers of cortical atrophy (cortical thickness, gray matter volume, and local gyrification index) in total, AG-specific signature and AD signature regions (all p < 0.05).
AG- and AD-selective iron deposition was associated with atrophy and cognitive decline in elderly people, highlighting its potential as a neuroimaging marker for cognitive aging.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39358805</pmid><doi>10.1186/s13195-024-01575-9</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | AD signature Advertising executives Aged Aging Aging - pathology Aging-specific signature Alzheimer's disease Atrophy Atrophy - pathology Brain Brain - diagnostic imaging Brain - metabolism Brain - pathology Brain research China Cognition Cognitive Aging - physiology Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - metabolism Cortical thickness Female Gerontology Health aspects Humans Iron Iron - metabolism Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Methods Middle Aged Neuropsychological Tests Physiological aspects |
| title | Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study |
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