Evidence map›Paper›PMID 42636468›Full record

ArticleSchizophrenia bulletin2026

Schizophrenia Spectrum Biomarkers Consortium: Establishment of a Biorepository for the Discovery of Quantitative Fluid Biomarkers.

Mohini Ranganathan, Susanne Jakob, Felecia Cerrato, Lia Urban Spillane, Tarlan S Daryoush, Sophie Shuster, Katherine Dokholyan, Shaynna Herrera, Brian B Koo, Clyde Markowitz and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Mohini RanganathanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, United States.ORCID 0000-0002-8412-2923
Susanne JakobStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Felecia CerratoStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Lia Urban SpillaneDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, United States.
Tarlan S DaryoushNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Sophie ShusterDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Katherine DokholyanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Shaynna HerreraDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Brian B KooDepartment of Neurology, Yale University School of Medicine, New Haven, CT 06511, United States.
Clyde MarkowitzDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Pojen DengDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Sage RushNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Monica E CalkinsNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-0546-0263
Scott TroyanNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Kosha RuparelNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Ruben C GurNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Holly ReynoldsIndiana University School of Medicine, Indiana University, Indianapolis, IN 46202, United States.
Claire WegelIndiana University School of Medicine, Indiana University, Indianapolis, IN 46202, United States.
Matthew B JohnsonStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Lauren HomStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Sam BryantStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Ross W MairCenter for Brain Science, Harvard University, Cambridge, MA 02138, United States.
Randy L BucknerDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, United States.
Psychiatry Biomarkers Network (PBN) Consortium
Rebecca BirnbaumDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Rebecca BirnbaumDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Christian G KohlerNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Cheryl M CorcoranDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Raquel E GurNeurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
Steven E HymanProgram in Brain Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.

Funding

Stanley Center for Psychiatric Research
6 · The paper itself

Abstract

background and hypothesisSchizophrenia spectrum disorders (SSDs) produce severe symptoms, disability, and premature mortality, but only partially effective symptomatic treatments exist. Treatment development is impeded by lack of insight into disease mechanisms or objective biomarkers for clinical trials. Advances in genetics and neurobiology have converged on strong pathogenic hypotheses for SSDs centered on synapse dysfunction and excessive pruning, pathogenic processes that may produce measurable proteomic evidence in cerebrospinal fluid (CSF). Leveraging design precedents from successful fluid biomarkers discovery for Alzheimer's disease, we undertook a pilot study to test the feasibility of repeated CSF and blood samples collection from individuals with SSDs. Here we report on successful implementation of longitudinal bio-behavioral phenotyping in SSDs and establishment of a repository to permit broad sample and data sharing. STUDY

designThe Schizophrenia Spectrum Biomarkers Consortium (SSBC) study principles included longitudinal study design, paired CSF and plasma collection associated with robust phenotypic characterization, at 3 academic sites and the establishment of a biorepository. Participants underwent clinical and cognitive assessments, neuroimaging, blood draws, and CSF collection via lumbar puncture (LP) every 6 months. STUDY

resultsSSBC successfully enrolled 48 SSD and 41 Healthy Controls with a 73% longitudinal retention. Clinical, cognitive, and neuroimaging results were consistent across sites and with existing studies. Study procedures were well tolerated, and almost all LPs (99%) resulted in either no or minor headache/backache that resolved without medical interventions.

conclusionsThe pilot SSBC study demonstrates that a multi-site, longitudinal study with repeat CSF collection is feasible, with excellent participant acceptability and retention.

Indexed as

Biological Specimen BanksPsychotic DisordersSchizophreniaAdultBiomarkersFeasibility StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsBiomarkersbiorepositorycognitionfluid biomarkerslongitudinal studylumbar punctureschizophrenia

Identifiers

PMID42636468
PMCPMC13502906

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.