ClinicalTrials.gg
RecruitingNCT06321588ADONISUpdated Feb 11, 2026

Autoimmune Dementia: Predictors of Neuronal Synaptic Antibodies in Patients With New-ONset Cognitive Impairment

An observational study in Cognitive Impairment and Dementia, sponsored by Azienda Usl di Bologna. Recruiting at 3 sites in Italy. Open to participants aged 40 Years to 90 Years. Per ClinicalTrials.gov, last updated 2026-02-11.

Sponsored by Azienda Usl di Bologna · Observational

From the registry’s dates

  • Primary completion was expected by Jun 2026, 4 months ago, but the record still lists the study as recruiting.
  • Started May 2023; still recruiting 3 years 6 months later.
Study type
Observational
Model
Cohort
Time perspective
Other
Enrollment
300
Ages
40 Years to 90 Years
Sex
All
01

Study summary

The goal of this observational study is to investigate the frequency and the possible pathogenic role of neuronal synaptic antibodies (NSAb) in patients with cognitive impairment (CI). The main questions it aims to answer are:

  1. the frequency and associated features of NSAb in patients with CI and the usefulness of a clinical score in improving autoimmune dementia (AID) diagnosis;
  2. the clinical significance of NSAb in patients with CI not fulfilling the autoimmune encephalitis (AE) criteria and serum NSAb (NSAb-pos-CI);
  3. the impact of blood-brain-barrier (BBB) dysfunction on their pathogenicity.
Read the detailed description

AE can mimic dementia and, contrarily to neurodegenerative dementia syndromes, affected patients can improve with timely immunotherapies. Consensus-based diagnostic criteria for AE help to select patients for antibody testing. However, encephalitis signs can be absent, particularly in the elderly, and AE can present with slowly progressing CI mimicking classical neurodegenerative diseases, misleading the diagnostic process. Data on the prevalence of NSAb and AE in unselected patients with CI are sparse and mostly affected by retrospective design, small cohorts, and antibody assay shortcomings. There is an urgent need to define the frequency of NSAb and AE in CI patients and elucidate the associated clinical, laboratory and imaging features. Filling these gaps is the first aim of this project. This will allow the early identification and the best management of patients with AID. On the other hand, a proportion of CI patients have NSAb and do not fit the AE criteria (NSAb-pos-CI).

These NSAb are often in the serum, and not in the Cerebrospinal Fluid (CSF), or belong to the Immunoglobulin A/M (Ig A/M) subclasses, as opposite to the AE-associated Immunoglobulin G (IgG) subclass, thus triggering questions about their clinical and therapeutic implications. As NSAb can be found at low titers in the serum of healthy controls, a hypothesis explaining their pathogenicity relies on dysfunctions of the BBB, in a context of indolent inflammation, that might allow the antibodies to reach the Central Nervous System (CNS). Alternatively, NSAb may not be directly pathogenic and could even be secondary to an ongoing neurodegenerative process. However, even in this context, known and unknown NSAb, could still contribute to the clinical phenotype, modulating the disease progression or the presence of additional clinical features (i.e. psychiatric symptoms). Understanding if these serum NSAb, along with other factors such as inflammation and BBB alterations, have a role in modifying the disease trajectory, i.e. accelerating the neurodegeneration and CI progression, is the other main goal. This project will represent a chance to clarify the role of NSAb in NSAb-pos-CI and potentially help to identify a subgroup of patients with specific phenotypes, who could benefit from immunotherapies. The identification of such patients will allow their best clinical management.

02

Conditions studied

  • Cognitive Impairment
  • Dementia
03

In context

Cognitive Dysfunction

3,872 studies on the registry are indexed under Cognitive Dysfunction; 1,119 are open to participants now.

This study's planned enrollment of 300 is above the median of 150 across 997 observational studies indexed under Cognitive Dysfunction.

Browse Cognitive Dysfunction studies →

Lead sponsor

Azienda Usl di Bologna is the lead sponsor of 43 studies on the registry; 13 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 90 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

patients with a diagnosis of new-onset neurocognitive disorders (major and minor)

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • both sexes
  • adult (aged between 40 and 90 years)
  • patients with a diagnosis of new-onset neurocognitive disorders (major and minor), as defined by the (DSM-5) criteria, with onset within the previous 24 months

Exclusion criteria

Exclusion Criteria:

- presence of a history of seizures within 4 weeks from onset.

Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

DSM diagnostic criteria

The American Psychiatric Association’s manual of mental health diagnoses. DSM-5 (2013, revised as DSM-5-TR in 2022) replaced DSM-IV, and some studies still name the older edition. “Meets DSM criteria for …” means diagnosed by that edition’s diagnostic criteria, usually by a clinician in an interview.

05

Study design

Observational model
Cohort
Time perspective
Other
Enrollment
300 participants (estimated)
Patient registry
No

Groups and cohorts

  • retrospective cohort

    patients with a diagnosis of new-onset neurocognitive disorders (major and minor) with onset within the previous 24 months

  • prospective cohort

    patients with a diagnosis of new-onset neurocognitive disorders (major and minor) with onset within the previous 24 months

06

What researchers measure

Primary outcomes

  1. frequency of antibodies against neuronal antigens

    NSAb frequency will be calculated by dividing the number of patients with NSAb with the total number of patients

    Time frame: at baseline

  2. frequency of antibodies against neuronal antigens

    NSAb frequency will be calculated by dividing the number of patients with NSAb with the total number of patients

    Time frame: 12 months (54 weeks)

  3. creation of a score that predicts the presence of NSAb

    Based on logistic regression models including the clinical, imaging and biomarkers data. The minimum and maximum score is to be defined on the bases of the analyses of the clinical data at 24 months milestone.An higher score is expected to be associated with the antibody presence.

    Time frame: 24 months (108 weeks)

Secondary outcomes

  1. changes of neurodegeneration biomarkers

    comparison of blood biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The blood biomarkers are: phosphorylated tau protein 181 (p-tau 181) (pg/mL), Neurofilament Light chain (NfL) (pg/mL), Glial Fibrillary Acidic Protein (GFAP) (pg/mL).

    Time frame: at baseline

  2. changes of neurodegeneration biomarkers

    comparison of blood biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The blood biomarkers are: phosphorylated tau protein 181 (p-tau 181) (pg/mL), Neurofilament Light chain (NfL) (pg/mL), Glial Fibrillary Acidic Protein (GFAP) (pg/mL).

    Time frame: 1 year (54 weeks)

  3. changes of neuroanatomy

    comparison of Brain MRI from baseline to one year follow up in seropositive versus seronegative patients

    Time frame: at baseline

  4. changes of neuroanatomy

    comparison of Brain MRI from baseline to one year follow up in seropositive versus seronegative patients

    Time frame: 1 year (54 weeks)

  5. changes of inflammatory biomarkers

    comparison of inflammatory biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The inflammatory biomarkers are: Interferon alpha (IFN alpha) (pg/mL), Interferon gamma (IFN gamma) (pg/mL), Interleukin-1 beta (IL-1 beta) (pg/mL), Interleukin-2 (IL-2) (pg/mL), Interleukin-4 (IL-4) (pg/mL), Interleukin-5 (IL-5) (pg/mL), Interleukin-6 (IL-6) (pg/mL), Interleukin-8 (IL-8) (pg/mL), Interleukin-17A (IL-17A) (pg/mL), Tumor necrosis factor alpha (TNF alpha) (pg/mL), Interferon gamma-induced protein 10 (IP-10) known as C-X-C motif chemokine 10(CXCL10) (pg/mL), Monocyte chemoattractant protein-1 (MCP-1) known as C-C motif chemokine ligand 2 (CCL2) (pg/mL).

    Time frame: at baseline

  6. changes of inflammatory biomarkers

    comparison of inflammatory biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The inflammatory biomarkers are: Interferon alpha (IFN alpha) (pg/mL), Interferon gamma (IFN gamma) (pg/mL), Interleukin-1 beta (IL-1 beta) (pg/mL), Interleukin-2 (IL-2) (pg/mL), Interleukin-4 (IL-4) (pg/mL), Interleukin-5 (IL-5) (pg/mL), Interleukin-6 (IL-6) (pg/mL), Interleukin-8 (IL-8) (pg/mL), Interleukin-17A (IL-17A) (pg/mL), Tumor necrosis factor alpha (TNF alpha) (pg/mL), Interferon gamma-induced protein 10 (IP-10) known as C-X-C motif chemokine 10(CXCL10) (pg/mL), Monocyte chemoattractant protein-1 (MCP-1) known as C-C motif chemokine ligand 2 (CCL2) (pg/mL).

    Time frame: 1 year (54 weeks)

  7. changes of brain blood barrier biomarkers

    comparison of brain blood barrier biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The biomarkers are: S100 calcium-binding protein B (S-100b) (pg/mL), Glial Fibrillary Acidic Protein (GFAP) (pg/mL).

    Time frame: at baseline

  8. changes of brain blood barrier biomarkers

    comparison of brain blood barrier biomarkers from baseline to one year follow up in seropositive versus seronegative patients. The biomarkers are: S100 calcium-binding protein B (S-100b) (pg/mL), Glial Fibrillary Acidic Protein (GFAP) (pg/mL).

    Time frame: 1 year (54 weeks)

07

Study locations

3 of 3 sites recruiting
08

References and documents

Publications

  • Bartels F, Stronisch T, Farmer K, Rentzsch K, Kiecker F, Finke C. Neuronal autoantibodies associated with cognitive impairment in melanoma patients. Ann Oncol. 2019 May 1;30(5):823-829. doi: 10.1093/annonc/mdz083. PubMed 30840061 ↗
  • Brunkhorst R, Pfeilschifter W, Foerch C. Astroglial proteins as diagnostic markers of acute intracerebral hemorrhage-pathophysiological background and clinical findings. Transl Stroke Res. 2010 Dec;1(4):246-51. doi: 10.1007/s12975-010-0040-6. Epub 2010 Aug 28. PubMed 24323552 ↗
  • Castillo-Gomez E, Oliveira B, Tapken D, Bertrand S, Klein-Schmidt C, Pan H, Zafeiriou P, Steiner J, Jurek B, Trippe R, Pruss H, Zimmermann WH, Bertrand D, Ehrenreich H, Hollmann M. All naturally occurring autoantibodies against the NMDA receptor subunit NR1 have pathogenic potential irrespective of epitope and immunoglobulin class. Mol Psychiatry. 2017 Dec;22(12):1776-1784. doi: 10.1038/mp.2016.125. Epub 2016 Aug 9. PubMed 27502473 ↗
  • Constantinescu R, Krysl D, Bergquist F, Andren K, Malmestrom C, Asztely F, Axelsson M, Menachem EB, Blennow K, Rosengren L, Zetterberg H. Cerebrospinal fluid markers of neuronal and glial cell damage to monitor disease activity and predict long-term outcome in patients with autoimmune encephalitis. Eur J Neurol. 2016 Apr;23(4):796-806. doi: 10.1111/ene.12942. Epub 2016 Jan 29. PubMed 26822123 ↗
  • Dubey D, Kothapalli N, McKeon A, Flanagan EP, Lennon VA, Klein CJ, Britton JW, So E, Boeve BF, Tillema JM, Sadjadi R, Pittock SJ. Predictors of neural-specific autoantibodies and immunotherapy response in patients with cognitive dysfunction. J Neuroimmunol. 2018 Oct 15;323:62-72. doi: 10.1016/j.jneuroim.2018.07.009. Epub 2018 Jul 25. PubMed 30196836 ↗
  • Dubois B, Villain N, Frisoni GB, Rabinovici GD, Sabbagh M, Cappa S, Bejanin A, Bombois S, Epelbaum S, Teichmann M, Habert MO, Nordberg A, Blennow K, Galasko D, Stern Y, Rowe CC, Salloway S, Schneider LS, Cummings JL, Feldman HH. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. Lancet Neurol. 2021 Jun;20(6):484-496. doi: 10.1016/S1474-4422(21)00066-1. Epub 2021 Apr 29. PubMed 33933186 ↗
  • Flanagan EP, McKeon A, Lennon VA, Boeve BF, Trenerry MR, Tan KM, Drubach DA, Josephs KA, Britton JW, Mandrekar JN, Lowe V, Parisi JE, Pittock SJ. Autoimmune dementia: clinical course and predictors of immunotherapy response. Mayo Clin Proc. 2010 Oct;85(10):881-97. doi: 10.4065/mcp.2010.0326. PubMed 20884824 ↗
  • Giannoccaro MP, Cossins J, Sorland K, Fluge O, Vincent A. Searching for Serum Antibodies to Neuronal Proteins in Patients With Myalgic Encephalopathy/Chronic Fatigue Syndrome. Clin Ther. 2019 May;41(5):836-847. doi: 10.1016/j.clinthera.2019.04.001. Epub 2019 May 1. PubMed 31053295 ↗
  • Gibson LL, McKeever A, Cullen AE, Nicholson TR, Aarsland D, Zandi MS, Pollak TA. Neuronal surface autoantibodies in dementia: a systematic review and meta-analysis. J Neurol. 2021 Aug;268(8):2769-2779. doi: 10.1007/s00415-020-09825-0. Epub 2020 Apr 18. PubMed 32306172 ↗
  • Pollak TA, Vincent A, Iyegbe C, Coutinho E, Jacobson L, Rujescu D, Stone J, Jezequel J, Rogemond V, Jamain S, Groc L, David A, Egerton A, Kahn RS, Honnorat J, Dazzan P, Leboyer M, McGuire P. Relationship Between Serum NMDA Receptor Antibodies and Response to Antipsychotic Treatment in First-Episode Psychosis. Biol Psychiatry. 2021 Jul 1;90(1):9-15. doi: 10.1016/j.biopsych.2020.11.014. Epub 2020 Nov 24. PubMed 33536130 ↗
  • Wagner J, Witt JA, Helmstaedter C, Malter MP, Weber B, Elger CE. Automated volumetry of the mesiotemporal structures in antibody-associated limbic encephalitis. J Neurol Neurosurg Psychiatry. 2015 Jul;86(7):735-42. doi: 10.1136/jnnp-2014-307875. Epub 2014 Sep 2. PubMed 25185210 ↗
  • Yeshokumar AK, Gordon-Lipkin E, Arenivas A, Cohen J, Venkatesan A, Saylor D, Probasco JC. Neurobehavioral outcomes in autoimmune encephalitis. J Neuroimmunol. 2017 Nov 15;312:8-14. doi: 10.1016/j.jneuroim.2017.08.010. Epub 2017 Aug 31. PubMed 28889962 ↗

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 11, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06321588
Lead sponsor
Azienda Usl di Bologna
Responsible party
Sponsor
First posted
Mar 20, 2024
Start date
May 10, 2023
Primary completion
Jun 30, 2026 (estimated)
Completion
Jun 30, 2026 (estimated)
Last update
Feb 11, 2026

Study contacts

Maria Pia Giannoccaro, Dr.
Contact
mariapia.giannoccaro@ausl.bologna.it
+390514966112
Maria Pia Giannoccaro, Dr.
principal investigator · IRCCS Istituto delle Scienze Neurologiche di Bologna

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion