{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:28:09Z","timestamp":1787837289224,"version":"build-2784847793"},"reference-count":36,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Alzheimer's disease (AD) diagnosis often relies on invasive cerebrospinal fluid (CSF) sampling or expensive cerebral positron emission tomography (PET) imaging. Noninvasive tests could facilitate early detection. Plasma phosphorylated-tau (pTau) isoforms are promising AD biomarkers that correlate with brain amyloid-\u03b2 (A\u03b2) deposition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To explore the diagnostic accuracy of pTau-based plasma biomarkers to forecast CSF amyloid-positive status in a real-world consecutive population of subjects with cognitive impairment and complete plasma and CSF biomarker profiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We retrospectively studied 138 consecutive patients with cognitive impairment. Plasma biomarkers (pTau217, pTau181, A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      , A\u03b2\n                      <jats:sub>40<\/jats:sub>\n                      ) were measured by automated immunoassay. Diagnostic accuracy for CSF amyloid status was assessed using area-under-the curve (AUC) values from receiver-operating characteristic (ROC) curve analysis. A dual-threshold strategy was used to define low- and high-risk groups and estimate how many lumbar punctures could be avoided.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 138 patients (37% CSF amyloid-positive), pTau217\/A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      ratio had the highest AUC (0.920) for predicting amyloid positivity, followed by pTau217 (AUC 0.904). These values exceeded the accuracy of pTau181-based markers. Using dual cut-offs, a 90% sensitivity-90% specificity strategy could avoid about 93.5% of lumbar punctures using pTau217\/A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      (10.9% misclassified), and 84.1% when using pTau217 (11.2% misclassified). Stricter thresholds (95%\u201395% and 97.5%\u201397.5%) further reduced misclassification rates but at the expense of fewer avoidable invasive procedures.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Plasma pTau217 (alone or combined with A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      ) shows high accuracy for detecting AD pathology and could serve as a scalable, noninvasive diagnostic tool. This approach may triage patients for confirmatory testing and substantially reduce the need for invasive CSF examination.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251390897","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T16:27:03Z","timestamp":1762360023000},"page":"1961-1971","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Plasma pTau217\/A\u03b2\n                    <sub>42<\/sub>\n                    and pTau217 outperform pTau181\/A\u03b2\n                    <sub>42<\/sub>\n                    and pTau181 in predicting cerebrospinal fluid amyloid positivity: A real-world retrospective study"],"prefix":"10.1177","volume":"108","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0313-8550","authenticated-orcid":false,"given":"Daniele","family":"Imperiale","sequence":"first","affiliation":[{"name":"SC Neurologia, Ospedale Maria Vittoria, Torino, Italy"},{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Marcinn\u00f2","sequence":"additional","affiliation":[{"name":"SC Neurologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristiana","family":"Atzori","sequence":"additional","affiliation":[{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniele Pio","family":"Angeloro","sequence":"additional","affiliation":[{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amelia","family":"Murgioni","sequence":"additional","affiliation":[{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessia","family":"Bagatin","sequence":"additional","affiliation":[{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Secci","sequence":"additional","affiliation":[{"name":"Centro regionale Diagnosi Osservazione Malattie Prioniche \u2013 Laboratorio di Neurobiologia, Ospedale Maria Vittoria, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Calcagno","sequence":"additional","affiliation":[{"name":"SCDU Malattie Infettive, Dipartimento di Scienze Mediche \u2013 Universit\u00e0 di Torino, Ospedale Amedeo di Savoia, Torino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco Alfonso","family":"Capobianco","sequence":"additional","affiliation":[{"name":"SC Neurologia, A.O. 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