Literature DB >> 35347268

Deriving psychiatric symptom-based biomarkers from multivariate relationships between psychophysiological and biochemical measures.

Victoria B Risbrough1,2, Dewleen G Baker1,2, Daniel M Stout3,4, Alan N Simmons1,2, Caroline M Nievergelt1,2, Arpi Minassian1,2, Nilima Biswas5, Adam X Maihofer2.   

Abstract

Identification of biomarkers for psychiatric disorders remains very challenging due to substantial symptom heterogeneity and diagnostic comorbidity, limiting the ability to map symptoms to underlying neurobiology. Dimensional symptom clusters, such as anhedonia, hyperarousal, etc., are complex and arise due to interactions of a multitude of complex biological relationships. The primary aim of the current investigation was to use multi-set canonical correlation analysis (mCCA) to derive biomarkers (biochemical, physiological) linked to dimensional symptoms across the anxiety and depressive spectrum. Active-duty service members (N = 2,592) completed standardized depression, anxiety and posttraumatic stress questionnaires and several psychophysiological and biochemical assays. Using this approach, we identified two phenotype associations between distinct physiological and biological phenotypes. One was characterized by symptoms of dysphoric arousal (anhedonia, anxiety, hypervigilance) which was associated with low blood pressure and startle reactivity. This finding is in line with previous studies suggesting blunted physiological reactivity is associated with subpopulations endorsing anxiety with comorbid depressive features. A second phenotype of anxious fatigue (high anxiety and reexperiencing/avoidance symptoms coupled with fatigue) was associated with elevated blood levels of norepinephrine and the inflammatory marker C-reactive protein in conjunction with high blood pressure. This second phenotype may describe populations in which inflammation and high sympathetic outflow might contribute to anxious fatigue. Overall, these findings support the growing consensus that distinct neuropsychiatric symptom patterns are associated with differential physiological and blood-based biological profiles and highlight the potential of mCCA to reveal important psychiatric symptom biomarkers from several psychophysiological and biochemical measures.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Year:  2022        PMID: 35347268     DOI: 10.1038/s41386-022-01303-7

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   8.294


  85 in total

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Authors:  Isaac R Galatzer-Levy; Richard A Bryant
Journal:  Perspect Psychol Sci       Date:  2013-11

2.  Heterogeneity in psychiatric diagnostic classification.

Authors:  Kate Allsopp; John Read; Rhiannon Corcoran; Peter Kinderman
Journal:  Psychiatry Res       Date:  2019-07-02       Impact factor: 3.222

3.  Searching for Intermediate Phenotypes in Posttraumatic Stress Disorder.

Authors:  Israel Liberzon
Journal:  Biol Psychiatry       Date:  2017-06-23       Impact factor: 13.382

4.  Progress in achieving quantitative classification of psychopathology.

Authors:  Robert F Krueger; Roman Kotov; David Watson; Miriam K Forbes; Nicholas R Eaton; Camilo J Ruggero; Leonard J Simms; Thomas A Widiger; Thomas M Achenbach; Bo Bach; R Michael Bagby; Marina A Bornovalova; William T Carpenter; Michael Chmielewski; David C Cicero; Lee Anna Clark; Christopher Conway; Barbara DeClercq; Colin G DeYoung; Anna R Docherty; Laura E Drislane; Michael B First; Kelsie T Forbush; Michael Hallquist; John D Haltigan; Christopher J Hopwood; Masha Y Ivanova; Katherine G Jonas; Robert D Latzman; Kristian E Markon; Joshua D Miller; Leslie C Morey; Stephanie N Mullins-Sweatt; Johan Ormel; Praveetha Patalay; Christopher J Patrick; Aaron L Pincus; Darrel A Regier; Ulrich Reininghaus; Leslie A Rescorla; Douglas B Samuel; Martin Sellbom; Alexander J Shackman; Andrew Skodol; Tim Slade; Susan C South; Matthew Sunderland; Jennifer L Tackett; Noah C Venables; Irwin D Waldman; Monika A Waszczuk; Mark H Waugh; Aidan G C Wright; David H Zald; Johannes Zimmermann
Journal:  World Psychiatry       Date:  2018-10       Impact factor: 49.548

Review 5.  The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes.

Authors:  Eric Feczko; Oscar Miranda-Dominguez; Mollie Marr; Alice M Graham; Joel T Nigg; Damien A Fair
Journal:  Trends Cogn Sci       Date:  2019-05-29       Impact factor: 20.229

Review 6.  Biomarkers of psychiatric diseases: current status and future prospects.

Authors:  Madhu Kalia; Jorge Costa E Silva
Journal:  Metabolism       Date:  2014-10-30       Impact factor: 8.694

7.  Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety.

Authors:  Monika S Mellem; Yuelu Liu; Humberto Gonzalez; Matthew Kollada; William J Martin; Parvez Ahammad
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-07-30

8.  Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors.

Authors:  Ziv Ben-Zion; Yoav Zeevi; Nimrod Jackob Keynan; Roee Admon; Tal Kozlovski; Haggai Sharon; Pinchas Halpern; Israel Liberzon; Arieh Y Shalev; Yoav Benjamini; Talma Hendler
Journal:  Transl Psychiatry       Date:  2020-06-27       Impact factor: 6.222

9.  Computational psychiatry: a report from the 2017 NIMH workshop on opportunities and challenges.

Authors:  Michele Ferrante; A David Redish; Maria A Oquendo; Bruno B Averbeck; Megan E Kinnane; Joshua A Gordon
Journal:  Mol Psychiatry       Date:  2019-04       Impact factor: 15.992

10.  Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates.

Authors:  Carole E Siegel; Eugene M Laska; Ziqiang Lin; Mu Xu; Duna Abu-Amara; Michelle K Jeffers; Meng Qian; Nicholas Milton; Janine D Flory; Rasha Hammamieh; Bernie J Daigle; Aarti Gautam; Kelsey R Dean; Victor I Reus; Owen M Wolkowitz; Synthia H Mellon; Kerry J Ressler; Rachel Yehuda; Kai Wang; Leroy Hood; Francis J Doyle; Marti Jett; Charles R Marmar
Journal:  Transl Psychiatry       Date:  2021-04-20       Impact factor: 6.222

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