Sebastian Palmqvist1, Henrik Zetterberg2, Kaj Blennow2, Susanna Vestberg3, Ulf Andreasson2, David J Brooks4, Rikard Owenius5, Douglas Hägerström6, Per Wollmer7, Lennart Minthon8, Oskar Hansson8. 1. Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden2Department of Neurology, Skåne University Hospital, Malmö, Sweden. 2. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg and Mölndal, Sweden. 3. Geriatric Psychiatry Unit, Department of Clinical Sciences, Lund University, Lund, Sweden5Department of Psychology, Lund University, Lund, Sweden. 4. Department of Medicine, Imperial College London, London, England7Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark. 5. GE Healthcare, Life Sciences, Uppsala, Sweden. 6. Department of Clinical Neurophysiology, Skåne University Hospital, Lund, Sweden. 7. Clinical Physiology and Nuclear Medicine Unit, Department of Clinical Sciences, Lund University, Lund, Sweden. 8. Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
Abstract
IMPORTANCE: Before adding cerebrospinal fluid (CSF) biomarkers to the diagnostic workup of Alzheimer disease, it needs to be determined whether CSF biomarkers analyzed in routine clinical practice can reliably predict cortical β-amyloid (Aβ) deposition. OBJECTIVES: To study whether CSF biomarkers, analyzed consecutively in routine clinical practice during 2 years, can predict cortical Aβ deposition and to establish a threshold for Aβ42 abnormality. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study (The Swedish BioFINDER [Biomarkers For Identifying Neurodegenerative Disorders Early and Reliably] Study) was conducted at 3 memory clinics. It involved consecutively referred, nondemented patients with mild cognitive symptoms (original cohort, n = 118; validation cohort, n = 38). EXPOSURES: Amyloid positron emission tomography imaging with 18F-flutemetamol. MAIN OUTCOMES AND MEASURES: Analyses of CSF Aβ42, total tau, and phosphorylated tau using an enzyme-linked immunosorbent assay (INNOTEST) in clinical samples. RESULTS: The agreement between Aβ classification with CSF Aβ42 and 18F-flutemetamol positron emission tomography was very high (κ = 0.85). Of all the cases, 92% were classified identically using an Aβ42 cutoff of 647 pg/mL or less. Cerebrospinal fluid Aβ42 predicted abnormal cortical Aβ deposition accurately (odds ratio, 165; 95% CI, 39-693; area under the receiver operating characteristic curve, 0.94; 95% CI, 0.88-0.97). The association was independent of age, sex, APOE (apolipoprotein E) genotype, hippocampal volume, memory, and global cognition (adjusted odds ratio, 169; 95% CI, 25-1143). Using ratios of CSF Aβ42:tau or Aβ42:phosphorylated tau did not improve the prediction of Aβ deposition. Cerebrospinal fluid Aβ42 correlated significantly with Aβ deposition in all cortical regions. The highest correlations were in regions with high 18F-flutemetamol retention (eg, posterior cingulum and precuneus, r = -0.72). 18F-flutemetamol retention, but not CSF Aβ42, correlated significantly with global cognition (r = -0.32), memory function (r = -0.28), and hippocampal volume (r = -0.36) among those with abnormal Aβ deposition. Finally, the CSF Aβ42 cutoff derived from the original cohort (≤647 pg/mL) had an equally high agreement (95%; κ = 0.89) with 18F-flutemetamol positron emission tomography in the validation cohort. CONCLUSIONS AND RELEVANCE: Cerebrospinal fluid Aβ42 analyzed consecutively in routine clinical practice at an accredited laboratory can be used with high accuracy to determine whether a patient has normal or increased cortical Aβ deposition and so can be valuable for the early diagnosis of Alzheimer disease. Abnormal 18F-flutemetamol retention levels correlate with disease stage in patients with mild cognitive symptoms, but this is not the case for CSF Aβ42 measurements.
IMPORTANCE: Before adding cerebrospinal fluid (CSF) biomarkers to the diagnostic workup of Alzheimer disease, it needs to be determined whether CSF biomarkers analyzed in routine clinical practice can reliably predict cortical β-amyloid (Aβ) deposition. OBJECTIVES: To study whether CSF biomarkers, analyzed consecutively in routine clinical practice during 2 years, can predict cortical Aβ deposition and to establish a threshold for Aβ42 abnormality. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study (The Swedish BioFINDER [Biomarkers For Identifying Neurodegenerative Disorders Early and Reliably] Study) was conducted at 3 memory clinics. It involved consecutively referred, nondemented patients with mild cognitive symptoms (original cohort, n = 118; validation cohort, n = 38). EXPOSURES: Amyloid positron emission tomography imaging with 18F-flutemetamol. MAIN OUTCOMES AND MEASURES: Analyses of CSF Aβ42, total tau, and phosphorylated tau using an enzyme-linked immunosorbent assay (INNOTEST) in clinical samples. RESULTS: The agreement between Aβ classification with CSF Aβ42 and 18F-flutemetamol positron emission tomography was very high (κ = 0.85). Of all the cases, 92% were classified identically using an Aβ42 cutoff of 647 pg/mL or less. Cerebrospinal fluid Aβ42 predicted abnormal cortical Aβ deposition accurately (odds ratio, 165; 95% CI, 39-693; area under the receiver operating characteristic curve, 0.94; 95% CI, 0.88-0.97). The association was independent of age, sex, APOE (apolipoprotein E) genotype, hippocampal volume, memory, and global cognition (adjusted odds ratio, 169; 95% CI, 25-1143). Using ratios of CSF Aβ42:tau or Aβ42:phosphorylated tau did not improve the prediction of Aβ deposition. Cerebrospinal fluid Aβ42 correlated significantly with Aβ deposition in all cortical regions. The highest correlations were in regions with high 18F-flutemetamol retention (eg, posterior cingulum and precuneus, r = -0.72). 18F-flutemetamol retention, but not CSF Aβ42, correlated significantly with global cognition (r = -0.32), memory function (r = -0.28), and hippocampal volume (r = -0.36) among those with abnormal Aβ deposition. Finally, the CSF Aβ42 cutoff derived from the original cohort (≤647 pg/mL) had an equally high agreement (95%; κ = 0.89) with 18F-flutemetamol positron emission tomography in the validation cohort. CONCLUSIONS AND RELEVANCE: Cerebrospinal fluid Aβ42 analyzed consecutively in routine clinical practice at an accredited laboratory can be used with high accuracy to determine whether a patient has normal or increased cortical Aβ deposition and so can be valuable for the early diagnosis of Alzheimer disease. Abnormal 18F-flutemetamol retention levels correlate with disease stage in patients with mild cognitive symptoms, but this is not the case for CSF Aβ42 measurements.
Authors: Sebastian Palmqvist; Pontus Tideman; Nicholas Cullen; Henrik Zetterberg; Kaj Blennow; Jeffery L Dage; Erik Stomrud; Shorena Janelidze; Niklas Mattsson-Carlgren; Oskar Hansson Journal: Nat Med Date: 2021-05-24 Impact factor: 53.440
Authors: Jon B Toledo; Henrik Zetterberg; Argonde C van Harten; Lidia Glodzik; Pablo Martinez-Lage; Luisella Bocchio-Chiavetto; Lorena Rami; Oskar Hansson; Reisa Sperling; Sebastiaan Engelborghs; Ricardo S Osorio; Hugo Vanderstichele; Manu Vandijck; Harald Hampel; Stefan Teipl; Abhay Moghekar; Marilyn Albert; William T Hu; Jose A Monge Argilés; Ana Gorostidi; Charlotte E Teunissen; Peter P De Deyn; Bradley T Hyman; Jose L Molinuevo; Giovanni B Frisoni; Gurutz Linazasoro; Mony J de Leon; Wiesje M van der Flier; Philip Scheltens; Kaj Blennow; Leslie M Shaw; John Q Trojanowski Journal: Brain Date: 2015-07-27 Impact factor: 13.501
Authors: Gaël Chételat; Rik Ossenkoppele; Victor L Villemagne; Audrey Perrotin; Brigitte Landeau; Florence Mézenge; William J Jagust; Vincent Dore; Bruce L Miller; Stéphanie Egret; William W Seeley; Wiesje M van der Flier; Renaud La Joie; David Ames; Bart N M van Berckel; Philip Scheltens; Frederik Barkhof; Christopher C Rowe; Colin L Masters; Vincent de La Sayette; Femke Bouwman; Gil D Rabinovici Journal: Brain Date: 2016-06-29 Impact factor: 13.501
Authors: David S Knopman; Samantha Budd Haeberlein; Maria C Carrillo; James A Hendrix; Geoff Kerchner; Richard Margolin; Paul Maruff; David S Miller; Gary Tong; Maria B Tome; Melissa E Murray; Peter T Nelson; Mary Sano; Niklas Mattsson; David L Sultzer; Thomas J Montine; Clifford R Jack; Hartmuth Kolb; Ronald C Petersen; Prashanthi Vemuri; Megan Zoschg Canniere; Julie A Schneider; Susan M Resnick; Gary Romano; Argonde Corien van Harten; David A Wolk; Lisa J Bain; Eric Siemers Journal: Alzheimers Dement Date: 2018-04 Impact factor: 21.566
Authors: Rik Ossenkoppele; Niklas Mattsson; Charlotte E Teunissen; Frederik Barkhof; Yolande Pijnenburg; Philip Scheltens; Wiesje M van der Flier; Gil D Rabinovici Journal: Neurobiol Aging Date: 2015-04-25 Impact factor: 4.673
Authors: Anders Wallin; Arto Nordlund; Michael Jonsson; Karin Lind; Åke Edman; Mattias Göthlin; Jacob Stålhammar; Marie Eckerström; Silke Kern; Anne Börjesson-Hanson; Mårten Carlsson; Erik Olsson; Henrik Zetterberg; Kaj Blennow; Johan Svensson; Annika Öhrfelt; Maria Bjerke; Sindre Rolstad; Carl Eckerström Journal: J Cereb Blood Flow Metab Date: 2016-01 Impact factor: 6.200
Authors: Katherine A Gifford; Dandan Liu; Jacquelyn E Neal; Lealani Mae Y Acosta; Susan P Bell; Margaret E Wiggins; Kristi M Wisniewski; Mary Godfrey; Laura A Logan; Timothy J Hohman; Kimberly R Pechman; David J Libon; Kaj Blennow; Henrik Zetterberg; Angela L Jefferson Journal: Assessment Date: 2018-05-29
Authors: Elizabeth E Moore; Timothy J Hohman; Faizan S Badami; Kimberly R Pechman; Katie E Osborn; Lealani Mae Y Acosta; Susan P Bell; Michelle A Babicz; Katherine A Gifford; Adam W Anderson; Lee E Goldstein; Kaj Blennow; Henrik Zetterberg; Angela L Jefferson Journal: Neurobiol Aging Date: 2018-06-28 Impact factor: 4.673
Authors: Hailey J James; Courtney Harold Van Houtven; Steven Lippmann; James R Burke; Megan Shepherd-Banigan; Emmanuelle Belanger; Terrie Fox Wetle; Brenda L Plassman Journal: J Alzheimers Dis Date: 2020 Impact factor: 4.472
Authors: Jun Ku Chung; Shinichiro Nakajima; Eric Plitman; Yusuke Iwata; Danielle Uy; Philip Gerretsen; Fernando Caravaggio; M Mallar Chakravarty; Ariel Graff-Guerrero Journal: Am J Geriatr Psychiatry Date: 2016-04-29 Impact factor: 4.105