Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model

There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of neuroscience 2019-09, Vol.39 (37), p.7428-7437
Hauptverfasser: Krance, Saffire H, Cogo-Moreira, Hugo, Rabin, Jennifer S, Black, Sandra E, Swardfager, Walter
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 7437
container_issue 37
container_start_page 7428
container_title The Journal of neuroscience
container_volume 39
creator Krance, Saffire H
Cogo-Moreira, Hugo
Rabin, Jennifer S
Black, Sandra E
Swardfager, Walter
description There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and phosphorylated tau (p-tau). Each biomarker was examined over 48 months in two separate cross-lagged models; one in asymptomatic healthy elderly people (men and women), and one in patients with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI). The models examine predictions of each biomarker on the progression of the others, considering each previous and concurrent measure. In healthy elderly, lower CSF Aβ42 predicted Aβ deposition and reciprocally, Aβ burden predicted a decrease in CSF Aβ42. Lower CSF Aβ42 predicted an increase in CSF p-tau, and CSF p-tau predicted Aβ deposition. In AD/MCI, lower CSF Aβ42 predicted Aβ deposition and Aβ burden reciprocally predicted CSF Aβ42 changes; however, in contrast to healthy elderly, CSF p-tau concentrations did not predict Aβ biomarkers, or vice versa. In models examining cognitive status, CSF Aβ42 predicted Mini Mental State Examination (MMSE) scores in healthy elderly, whereas Aβ burden and CSF p-tau predicted MMSE scores in AD/MCI. The findings describe reciprocal predictions between Aβ and tau biomarkers in healthy elderly and they implicate mechanisms underlying low CSF Aβ42 in Alzheimer's disease pathogenesis and progression. In symptomatic Alzheimer's disease, CSF Aβ42 and Aβ deposition predicted each other; however, Aβ and CSF p-tau progressed independently and they independently predicted cognitive decline. This study offers empirical evidence concerning the hypothesized "amyloid cascade", as it progressed over 4 years in healthy elderly people and in Alzheimer's disease patients. In healthy elderly, CSF amyloid changes predicted amyloid deposition, CSF phosphorylated tau concentrations, and a decline in cognitive status. Phosphorylated tau concentrations specifically predicted amyloid deposition. In Alzheimer's disease patients, although amyloid deposition and CSF amyloid changes continued to "cascade", there was no evidence to suggest that amyloid and tau biomarkers predicted each other, although both amyloid deposition and CSF tau progression predicted cognitive decline independently. Taking advantage of repeated amyloid PET and CSF measures, this dynamic view offers new insight into the progre
doi_str_mv 10.1523/JNEUROSCI.1056-19.2019
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6759020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2294472998</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-8c22ae91b4c6c1ad9cc6a10f95332ba0c41b531bb5cd385a850b4e60e60b0dbc3</originalsourceid><addsrcrecordid>eNpVkcFuEzEQhi0EoqHwCpUlDpw2HXvt3ZgDUhpCaVUoCu3Zsr2TxmV3vdiboiLx7jhqG4FkyYd_5ptf-gg5YjBlkpfH51-X16vL74uzKQNZFUxNOTD1jExyqgougD0nE-A1FJWoxQF5ldItANTA6pfkoGSlBF7xCfmzQueHGJxp6beIjXejv0O6wtaMPvRp44dELY6_EHs67-7b4Btq-oZemS098aEz8QfGRH1O298b9B3Gd4l-9AlNwowMNxFTyqj3dN7TZTf46HfHvoQG29fkxdq0Cd88_ofk-tPyavG5uLg8PVvMLwonBB-LmePcoGJWuMox0yjnKsNgrWRZcmvACWZlyayVriln0swkWIEV5Gehsa48JB8euMPWdtg47MdoWj1En_vf62C8_j_p_UbfhDtd1VIBhwx4-wiI4ecW06hvwzb2ubPmXAlRc6Vmeap6mHIxpBRxvb_AQO-06b02vdOmmdI7bXnx6N9--7UnT-VfvXCXsw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2294472998</pqid></control><display><type>article</type><title>Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model</title><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Krance, Saffire H ; Cogo-Moreira, Hugo ; Rabin, Jennifer S ; Black, Sandra E ; Swardfager, Walter</creator><creatorcontrib>Krance, Saffire H ; Cogo-Moreira, Hugo ; Rabin, Jennifer S ; Black, Sandra E ; Swardfager, Walter ; Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><description>There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and phosphorylated tau (p-tau). Each biomarker was examined over 48 months in two separate cross-lagged models; one in asymptomatic healthy elderly people (men and women), and one in patients with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI). The models examine predictions of each biomarker on the progression of the others, considering each previous and concurrent measure. In healthy elderly, lower CSF Aβ42 predicted Aβ deposition and reciprocally, Aβ burden predicted a decrease in CSF Aβ42. Lower CSF Aβ42 predicted an increase in CSF p-tau, and CSF p-tau predicted Aβ deposition. In AD/MCI, lower CSF Aβ42 predicted Aβ deposition and Aβ burden reciprocally predicted CSF Aβ42 changes; however, in contrast to healthy elderly, CSF p-tau concentrations did not predict Aβ biomarkers, or vice versa. In models examining cognitive status, CSF Aβ42 predicted Mini Mental State Examination (MMSE) scores in healthy elderly, whereas Aβ burden and CSF p-tau predicted MMSE scores in AD/MCI. The findings describe reciprocal predictions between Aβ and tau biomarkers in healthy elderly and they implicate mechanisms underlying low CSF Aβ42 in Alzheimer's disease pathogenesis and progression. In symptomatic Alzheimer's disease, CSF Aβ42 and Aβ deposition predicted each other; however, Aβ and CSF p-tau progressed independently and they independently predicted cognitive decline. This study offers empirical evidence concerning the hypothesized "amyloid cascade", as it progressed over 4 years in healthy elderly people and in Alzheimer's disease patients. In healthy elderly, CSF amyloid changes predicted amyloid deposition, CSF phosphorylated tau concentrations, and a decline in cognitive status. Phosphorylated tau concentrations specifically predicted amyloid deposition. In Alzheimer's disease patients, although amyloid deposition and CSF amyloid changes continued to "cascade", there was no evidence to suggest that amyloid and tau biomarkers predicted each other, although both amyloid deposition and CSF tau progression predicted cognitive decline independently. Taking advantage of repeated amyloid PET and CSF measures, this dynamic view offers new insight into the progression of Alzheimer's disease biomarkers and their relationships with cognitive decline.</description><identifier>ISSN: 0270-6474</identifier><identifier>EISSN: 1529-2401</identifier><identifier>DOI: 10.1523/JNEUROSCI.1056-19.2019</identifier><identifier>PMID: 31350262</identifier><language>eng</language><publisher>United States: Society for Neuroscience</publisher><subject>Alzheimer's disease ; Biomarkers ; Cerebrospinal fluid ; Cognitive ability ; Dementia disorders ; Deposition ; Geriatrics ; Medical treatment ; Neurodegenerative diseases ; Older people ; Pathogenesis ; Positron emission ; Positron emission tomography ; Predictions ; Target recognition ; Tau protein</subject><ispartof>The Journal of neuroscience, 2019-09, Vol.39 (37), p.7428-7437</ispartof><rights>Copyright © 2019 the authors.</rights><rights>Copyright Society for Neuroscience Sep 11, 2019</rights><rights>Copyright © 2019 the authors 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-8c22ae91b4c6c1ad9cc6a10f95332ba0c41b531bb5cd385a850b4e60e60b0dbc3</citedby><orcidid>0000-0001-7093-8289 ; 0000-0001-9411-9237 ; 0000-0001-6679-4067 ; 0000-0002-0030-8908</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759020/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759020/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31350262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krance, Saffire H</creatorcontrib><creatorcontrib>Cogo-Moreira, Hugo</creatorcontrib><creatorcontrib>Rabin, Jennifer S</creatorcontrib><creatorcontrib>Black, Sandra E</creatorcontrib><creatorcontrib>Swardfager, Walter</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><title>Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model</title><title>The Journal of neuroscience</title><addtitle>J Neurosci</addtitle><description>There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and phosphorylated tau (p-tau). Each biomarker was examined over 48 months in two separate cross-lagged models; one in asymptomatic healthy elderly people (men and women), and one in patients with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI). The models examine predictions of each biomarker on the progression of the others, considering each previous and concurrent measure. In healthy elderly, lower CSF Aβ42 predicted Aβ deposition and reciprocally, Aβ burden predicted a decrease in CSF Aβ42. Lower CSF Aβ42 predicted an increase in CSF p-tau, and CSF p-tau predicted Aβ deposition. In AD/MCI, lower CSF Aβ42 predicted Aβ deposition and Aβ burden reciprocally predicted CSF Aβ42 changes; however, in contrast to healthy elderly, CSF p-tau concentrations did not predict Aβ biomarkers, or vice versa. In models examining cognitive status, CSF Aβ42 predicted Mini Mental State Examination (MMSE) scores in healthy elderly, whereas Aβ burden and CSF p-tau predicted MMSE scores in AD/MCI. The findings describe reciprocal predictions between Aβ and tau biomarkers in healthy elderly and they implicate mechanisms underlying low CSF Aβ42 in Alzheimer's disease pathogenesis and progression. In symptomatic Alzheimer's disease, CSF Aβ42 and Aβ deposition predicted each other; however, Aβ and CSF p-tau progressed independently and they independently predicted cognitive decline. This study offers empirical evidence concerning the hypothesized "amyloid cascade", as it progressed over 4 years in healthy elderly people and in Alzheimer's disease patients. In healthy elderly, CSF amyloid changes predicted amyloid deposition, CSF phosphorylated tau concentrations, and a decline in cognitive status. Phosphorylated tau concentrations specifically predicted amyloid deposition. In Alzheimer's disease patients, although amyloid deposition and CSF amyloid changes continued to "cascade", there was no evidence to suggest that amyloid and tau biomarkers predicted each other, although both amyloid deposition and CSF tau progression predicted cognitive decline independently. Taking advantage of repeated amyloid PET and CSF measures, this dynamic view offers new insight into the progression of Alzheimer's disease biomarkers and their relationships with cognitive decline.</description><subject>Alzheimer's disease</subject><subject>Biomarkers</subject><subject>Cerebrospinal fluid</subject><subject>Cognitive ability</subject><subject>Dementia disorders</subject><subject>Deposition</subject><subject>Geriatrics</subject><subject>Medical treatment</subject><subject>Neurodegenerative diseases</subject><subject>Older people</subject><subject>Pathogenesis</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Predictions</subject><subject>Target recognition</subject><subject>Tau protein</subject><issn>0270-6474</issn><issn>1529-2401</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpVkcFuEzEQhi0EoqHwCpUlDpw2HXvt3ZgDUhpCaVUoCu3Zsr2TxmV3vdiboiLx7jhqG4FkyYd_5ptf-gg5YjBlkpfH51-X16vL74uzKQNZFUxNOTD1jExyqgougD0nE-A1FJWoxQF5ldItANTA6pfkoGSlBF7xCfmzQueHGJxp6beIjXejv0O6wtaMPvRp44dELY6_EHs67-7b4Btq-oZemS098aEz8QfGRH1O298b9B3Gd4l-9AlNwowMNxFTyqj3dN7TZTf46HfHvoQG29fkxdq0Cd88_ofk-tPyavG5uLg8PVvMLwonBB-LmePcoGJWuMox0yjnKsNgrWRZcmvACWZlyayVriln0swkWIEV5Gehsa48JB8euMPWdtg47MdoWj1En_vf62C8_j_p_UbfhDtd1VIBhwx4-wiI4ecW06hvwzb2ubPmXAlRc6Vmeap6mHIxpBRxvb_AQO-06b02vdOmmdI7bXnx6N9--7UnT-VfvXCXsw</recordid><startdate>20190911</startdate><enddate>20190911</enddate><creator>Krance, Saffire H</creator><creator>Cogo-Moreira, Hugo</creator><creator>Rabin, Jennifer S</creator><creator>Black, Sandra E</creator><creator>Swardfager, Walter</creator><general>Society for Neuroscience</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7093-8289</orcidid><orcidid>https://orcid.org/0000-0001-9411-9237</orcidid><orcidid>https://orcid.org/0000-0001-6679-4067</orcidid><orcidid>https://orcid.org/0000-0002-0030-8908</orcidid></search><sort><creationdate>20190911</creationdate><title>Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model</title><author>Krance, Saffire H ; Cogo-Moreira, Hugo ; Rabin, Jennifer S ; Black, Sandra E ; Swardfager, Walter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-8c22ae91b4c6c1ad9cc6a10f95332ba0c41b531bb5cd385a850b4e60e60b0dbc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alzheimer's disease</topic><topic>Biomarkers</topic><topic>Cerebrospinal fluid</topic><topic>Cognitive ability</topic><topic>Dementia disorders</topic><topic>Deposition</topic><topic>Geriatrics</topic><topic>Medical treatment</topic><topic>Neurodegenerative diseases</topic><topic>Older people</topic><topic>Pathogenesis</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Predictions</topic><topic>Target recognition</topic><topic>Tau protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krance, Saffire H</creatorcontrib><creatorcontrib>Cogo-Moreira, Hugo</creatorcontrib><creatorcontrib>Rabin, Jennifer S</creatorcontrib><creatorcontrib>Black, Sandra E</creatorcontrib><creatorcontrib>Swardfager, Walter</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krance, Saffire H</au><au>Cogo-Moreira, Hugo</au><au>Rabin, Jennifer S</au><au>Black, Sandra E</au><au>Swardfager, Walter</au><aucorp>Alzheimer's Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model</atitle><jtitle>The Journal of neuroscience</jtitle><addtitle>J Neurosci</addtitle><date>2019-09-11</date><risdate>2019</risdate><volume>39</volume><issue>37</issue><spage>7428</spage><epage>7437</epage><pages>7428-7437</pages><issn>0270-6474</issn><eissn>1529-2401</eissn><abstract>There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and phosphorylated tau (p-tau). Each biomarker was examined over 48 months in two separate cross-lagged models; one in asymptomatic healthy elderly people (men and women), and one in patients with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI). The models examine predictions of each biomarker on the progression of the others, considering each previous and concurrent measure. In healthy elderly, lower CSF Aβ42 predicted Aβ deposition and reciprocally, Aβ burden predicted a decrease in CSF Aβ42. Lower CSF Aβ42 predicted an increase in CSF p-tau, and CSF p-tau predicted Aβ deposition. In AD/MCI, lower CSF Aβ42 predicted Aβ deposition and Aβ burden reciprocally predicted CSF Aβ42 changes; however, in contrast to healthy elderly, CSF p-tau concentrations did not predict Aβ biomarkers, or vice versa. In models examining cognitive status, CSF Aβ42 predicted Mini Mental State Examination (MMSE) scores in healthy elderly, whereas Aβ burden and CSF p-tau predicted MMSE scores in AD/MCI. The findings describe reciprocal predictions between Aβ and tau biomarkers in healthy elderly and they implicate mechanisms underlying low CSF Aβ42 in Alzheimer's disease pathogenesis and progression. In symptomatic Alzheimer's disease, CSF Aβ42 and Aβ deposition predicted each other; however, Aβ and CSF p-tau progressed independently and they independently predicted cognitive decline. This study offers empirical evidence concerning the hypothesized "amyloid cascade", as it progressed over 4 years in healthy elderly people and in Alzheimer's disease patients. In healthy elderly, CSF amyloid changes predicted amyloid deposition, CSF phosphorylated tau concentrations, and a decline in cognitive status. Phosphorylated tau concentrations specifically predicted amyloid deposition. In Alzheimer's disease patients, although amyloid deposition and CSF amyloid changes continued to "cascade", there was no evidence to suggest that amyloid and tau biomarkers predicted each other, although both amyloid deposition and CSF tau progression predicted cognitive decline independently. Taking advantage of repeated amyloid PET and CSF measures, this dynamic view offers new insight into the progression of Alzheimer's disease biomarkers and their relationships with cognitive decline.</abstract><cop>United States</cop><pub>Society for Neuroscience</pub><pmid>31350262</pmid><doi>10.1523/JNEUROSCI.1056-19.2019</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7093-8289</orcidid><orcidid>https://orcid.org/0000-0001-9411-9237</orcidid><orcidid>https://orcid.org/0000-0001-6679-4067</orcidid><orcidid>https://orcid.org/0000-0002-0030-8908</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0270-6474
ispartof The Journal of neuroscience, 2019-09, Vol.39 (37), p.7428-7437
issn 0270-6474
1529-2401
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6759020
source EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Alzheimer's disease
Biomarkers
Cerebrospinal fluid
Cognitive ability
Dementia disorders
Deposition
Geriatrics
Medical treatment
Neurodegenerative diseases
Older people
Pathogenesis
Positron emission
Positron emission tomography
Predictions
Target recognition
Tau protein
title Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T05%3A57%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reciprocal%20Predictive%20Relationships%20between%20Amyloid%20and%20Tau%20Biomarkers%20in%20Alzheimer's%20Disease%20Progression:%20An%20Empirical%20Model&rft.jtitle=The%20Journal%20of%20neuroscience&rft.au=Krance,%20Saffire%20H&rft.aucorp=Alzheimer's%20Disease%20Neuroimaging%20Initiative&rft.date=2019-09-11&rft.volume=39&rft.issue=37&rft.spage=7428&rft.epage=7437&rft.pages=7428-7437&rft.issn=0270-6474&rft.eissn=1529-2401&rft_id=info:doi/10.1523/JNEUROSCI.1056-19.2019&rft_dat=%3Cproquest_pubme%3E2294472998%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2294472998&rft_id=info:pmid/31350262&rfr_iscdi=true