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Towards a Psychosis Risk Blood Diagnostic for Persons Experiencing High-Risk Symptoms: Preliminary Results From the NAPLS Project
Open accessAbstract
INTRODUCTION: A barrier to preventative treatments for psychosis is the absence of accurate identification of persons at highest risk. A blood test that could substantially increase diagnostic accuracy would enhance development of psychosis prevention interventions. METHODS: The North American Prodrome Longitudinal Study project is a multisite endeavor that aims to better understand predictors and mechanisms for the development of psychosis. In this study, we measured expression of plasma analytes reflecting inflammation, oxidative stress, hormones, and metabolism. A "greedy algorithm" selected analytes that best distinguished persons with clinical high-risk symptoms who developed psychosis (CHR-P; n = 32) from unaffected comparison (UC) subjects (n = 35) and from those who did not develop psychosis during a 2-year follow-up (CHR-NP; n = 40). RESULTS: The classifier included 15 analytes (selected from 117), with an area under the receiver operating curve for CHR-P vs UC of 0.91 and CHR-P vs CHR-NP of 0.88. Randomly scrambled group membership followed by reconstructions of the entire classifier method yielded consistently weak classifiers, indicating that the true classifier is highly unlikely to be a chance occurrence. Such randomization methods robustly imply the assays contain consistent information distinguishing the groups which was not obscured by the data normalization method and was revealed by classifier construction. These results support the hypothesis that inflammation, oxidative stress, and dysregulation of hypothalamic-pituitary axes may be prominent in the earliest stages of psychosis. CONCLUSION: If confirmed in other groups of persons at elevated risk of psychosis, a multiplex blood assay has the potential for high clinical utility.
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“In addition, biochemical 140,141 , imaging 52,142,143 , and electrophysiological measurements 144 may help segregating patients into higher- and lower-risk groups.”
From Developmental timing and critical windows for the treatment of psychiatric disorders (2016) · cites this paper as [141]
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Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Diagnostic and Statistical Manual of Mental Disorders, 5th ed.
Carter, M. J. (2014) · Therapeutic Recreation Journal · Cited by 15,154
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568
Rio, D. D., Stewart, A. J., & Pellegrini, N. (2005) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2005.05.003 · Cited by 2,789
Best Practices for QSAR Model Development, Validation, and Exploitation
Tropsha, A. (2010) · Molecular Informatics · doi:10.1002/minf.201000061 · Cited by 2,107
Meta-Analysis of Cytokine Alterations in Schizophrenia: Clinical Status and Antipsychotic Effects
Miller, B. J., Buckley, P., Seabolt, W., Mellor, A., & Kirkpatrick, B. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.04.013 · Cited by 1,742
Research works printed but not linked: 3
- First, 2002, Structured Clinical Interview for DSM-IV TR Axis I Disorders, Non-patient Edition (SCID-I/NP)
- Drake, 1996, Clinician rating scale: Alcohol Use Scale (AUS), Drug Use Scale (DUS), and Substance Abuse Treatment Scale (SATS), 113
- Schwarz, 2011, Identification of a biological signature for schizophrenia in serum, Mol Psychiatry, 17, 1
Cited by
Sorted by citations
Items 201–238 of 238
Multimodal modeling for personalized psychiatry
Clark, S. R., Cearns, M., Schubert, K. O., & Baune, B. T. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00043-2 · Cited by 2
Lorkiewicz, P., Adamczuk, J., Kryńska, J. A., Maciejczyk, M., Żendzian‐Piotrowska, M., Flisiak, R., Moniuszko-Malinowska, A. M., & Waszkiewicz, N. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27041670 · Cited by 1
Antipsychotics lower peripheral markers of inflammation in drug-naïve early psychosis: a pilot study
Šafářová, N., Kolenič, M., Tašková, I., Čapek, V., Fürstová, P., & Španiel, F. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1769162 · Cited by 1
“In this context, the immune dysregulation and neuroin fl ammatory pathways offer a compelling framework for understanding the pathophysiological changes in schizophrenia that may lead to the symptom progression and greater disease severity (9 – 13).”
Huang, H., Sun, Y., Yin, J., An, S., Liu, M., Gong, Q., Chen, Y., & Deng, H. (2026) · Psychological Medicine · doi:10.1017/s0033291726103559 · Cited by 1
Biomarkers of vulnerability and progression in the psychosis prodrome
Cannon, T. D. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.068 · Cited by 1
Self-citationThompson, A. D., Marwaha, S., & Broome, M. R. (2016) · BJPsych Advances · doi:10.1192/s2056467800002838 · Cited by 1
“L’ulteriore perfezionamento dei criteri, ivi compreso l’uso dei marcatori biologici, fenotipi e caratteristiche cliniche, è il passo successive nel percorso verso l’obiettivo di modificare il decorso dei disturbi psicotici.”
Gooding, D. C., Mohrbacher, D., Umucu, E., Hulle, C. A. V., Lewis, J., Carter, F. P., & Gleason, C. E. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115776 · Cited by 1
Personality traits in psychosis and psychosis risk linked to TSPO expression: a neuroimmune marker
Gerritsen, C. J., Iyengar, Y., DaSilva, T., Koppel, A., Rusjan, P., Bagby, R. M., & Mizrahi, R. (2020) · Personality Neuroscience · doi:10.1017/pen.2020.14 · Cited by 1
“Studies of individuals with clinical high risk (CHR) for developing schizophrenia have similarly reported elevated levels of pro-inflammatory markers such as cytokines and C-reactive proteins (CRPs) (Perkins et al., 2014; Stojanovic et al., 2014).”
BackgroundBannai, D., Reuter, M., Hegde, R. R., Hoang, D. T., Adhan, I. K., Gandu, S., Pong, S., Raymond, N., Zeng, V., Chung, Y., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.28.514160 · Cited by 1
“A comprehensive detail of blood collection/assay has been provided previously 40 .”
MethodSelf-citationUnderstanding the human model of schizophrenia: Drug-induced psychoses
Murray, R. M., & Forti, M. D. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.066
Innate Immune Response and Psychotic Disorders
Suvisaari, J., & Mantere, O. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801968-9.00007-6
Lawford‐Smith, H. (2015)
Arango, C., & Serrano-Drozdowskyj, E. (2016)
Neuroinflammation and psychosis; antipsychotic medication.
Bloomfield, P. S. (2015) · Spiral (Imperial College London) · doi:10.25560/39588
Walsh, B. C., Woods, S. W., & Powers, A. R. (2019) · Springer eBooks · doi:10.1007/978-3-030-17336-4_21
Self-citationQuels sont les biomarqueurs des phases précoces ?
Fakra, É. (2019) · Troubles Psychotiques : Protocoles D'intervention Précoce · doi:10.1016/b978-2-294-76179-9.00002-4
Wu, A. (2019) · TSpace (University of Toronto)
Future directions in risk research
Albert, N., Glenthøj, L. B., & Nordentoft, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813201-2.00022-3
Immune processes and risk of psychosis
Al‐Diwani, A., & Pollak, T. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813201-2.00011-9
Frisky CALF sometimes outruns LASSOPreprint
Jeffries, C. D., Ford, J. R., Tilson, J. L., Perkins, D. O., Bost, D. M., Filer, D. L., & Wilhelmsen, K. C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.27.011700
Self-citationGuest Editorial: Special issue on “Biomarkers in the attenuated psychosis syndrome”
Cadenhead, K. S., & Stone, W. S. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.11.035
Self-citationChau, P. ‐., & Herring, J. (2021) · Springer eBooks · doi:10.1007/978-3-030-60208-6_6
(2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811351-6.00026-7
Santos‐Silva, T. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2023.tde-10112023-160657
Ghanem, Y., Almarshedi, A. A., Adam, M. A. A., Eid, M., Karaliūnienė, R., Philip, S., & Hayek, S. E. (2024) · Nutritional neurosciences · doi:10.1007/978-981-97-2681-3_12
(2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23565-8.09996-8
Anisman, H., Hayley, S. P., & Kusnecov, A. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23565-8.00011-9
Susai, S. R., Davis, R., Mongan, D., Föcking, M., Heurich, M., Cagney, G., Gilheany, J., Murphy, J., Cannon, M. D., Ward, J. F., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-5759131/v1
Zhang, T., Xu, L., Wei, Y., Tang, X., Ju, M., Liu, X., Zhang, D., Liu, H., Wang, Z., Chen, T., et al. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111356
Oxidative stress markers during the psychotic transition
Rambaud, V., Frajerman, A., Fournier, M., Iftimovici, A., Dwir, D., Khadimallah, I., Kébir, O., Marzo, A., Krebs, M., & Chaumette, B. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.04.002
Karanikas, E. (2025) · NeuroSci · doi:10.3390/neurosci6040099
“…interaction in the context of psychosis originates from studies developing algorithms for either a psychosis diagnosis against normality [148,237], the differentiation of the psychotic substrate in affective disorders [238], or the prediction of the conversion to psychosis from prodrome [35].”
InfluentialLlaurador-Coll, M., Montalvo, I., Estrada, F., Sánchez‐Gistau, V., Zetterberg, H., Labad, J., Benedet, A. L., & Vilella, E. (2025) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2025.101134
“…approaches, fluid biomarker profiling offers the potential to complement clinical evaluations by providing biological signatures that reflect underlying pathophysiological processes, allowing earlier and more individualized treatment strategies (Perkins et al., 2015; Schwarz et al., 2011).”
Blood plasma proteomic biomarkers for forecasting transition to psychosis in an Asian cohort
Chan, W. X., Wong, J. J., Yang, Z., Yee, J. Y., Lee, J., Lee, J., & Goh, W. W. B. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04004-7
“However, the Asian-and Caucasian-derived signatures consistently included members of the same protein families with shared functions.”
Yue, X., Zhang, M., Li, J., Zhang, H., Zhang, C., Li, R., Ding, N., & Zhang, P. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.111940
Cubitt, M., Ellenbroek, B. A., & Haase, A. M. (2026) · Biomolecules · doi:10.3390/biom16101397
Ku, B. S., Xu, Y., Goldsmith, D. R., Sawyers, C. K., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Carrión, R. E., Keshavan, M. S., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.107036
Self-citationVasiliu, O., Marinescu, I. P., Mangalagiu, A. G., Petrescu, B. M., & Ciobanu, A. M. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15207955
Metadata
- Authors
- Perkins, D. O., Jeffries, C. D., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Cornblatt, B. A., Mathalon, D. H., McGlashan, T. H., Seidman, L. J., Tsuang, M. T., Walker, E. F., Woods, S. W., & Heinssen, R.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- University of Calgary (CA)
- University of California, Los Angeles (US)
- University of California San Diego (US)
- Yale University (US)
- Zucker Hillside Hospital (US)
- University of California, San Francisco (US)
- Beth Israel Deaconess Medical Center (US)
- Emory University (US)
- National Institute of Mental Health (US)
- Corresponding author
- Perkins, Diana O.
- Jeffries, Clark D.
- ORCID
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-08-06
- Volume
- 41
- Issue
- 2
- Pages
- 419-428
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC4332942
- OpenAlex
- W2144107861
- Cited by
- 238
- References
- 60
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 16 · 2023: 28 · 2022: 14 · 2021: 15 · 2020: 25 · 2019: 22 · 2018: 17 · 2017: 20 · 2016: 32 · 2015: 19 · 2014: 7
- FWCI
- 19.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Schizophrenia Bulletin (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- UNC Libraries
- Funders
- National Institute of Mental Health (U01MH081928, U01MH066160, U01MH082022, U01MH076989, U01MH081984, U01MH0818902, U01MH081857, U01MH082004, U01MH081944, P50MH066286, U01MH081988)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Keywords
- psychosis risk, clinical high risk for psychosis
- MeSH terms
- Adult, Female, Follow-Up Studies, Humans, Hypothalamo-Hypophyseal System, Inflammation, Male, Pituitary-Adrenal System, Psychotic Disorders, Oxidative Stress, Risk Assessment, Young Adult, Prodromal Symptoms
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