We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Technopath Clinical Diagnostics


  Gold Thermo Fisher Scientific provides analytical instruments, lab equipment, specialty diagnostics, reagents and integrat... read more Featured Products: More products

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Novel Blood Test Predicts Psychotic Disorders Before They Emerge

By LabMedica International staff writers
Posted on 15 Sep 2020
Print article
Image: Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer (Photo courtesy of Thermo Fisher Scientific).
Image: Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer (Photo courtesy of Thermo Fisher Scientific).
Only around a quarter of young people who display mild, transitory psychotic symptoms at an early age ultimately go on to develop a serious psychotic disorder. Schizophrenia, for example, is generally not clinically diagnosed until a person reaches their twenties.

The condition is known to present a number of signs and symptoms than can precede the full-blown psychotic episodes often needed for clinical diagnosis. This early pre-clinical phase of a psychotic disorder is often referred to as the prodromal stage. In the case of schizophrenia, prodromal symptoms appear in nearly three quarters of patients up to five years before the first episode of psychosis occurs.

An international team of molecular psychiatrists led by the Royal College of Surgeons in Ireland (Dublin, Ireland) included in a study a prospective cohort of clinical high-risk (CHR) criteria enable identification of 344 participants recruited across 11 international sites. Protein depletion, digestion, and peptide purification were performed using baseline plasma samples. Prepared sample was injected on a Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Fisher Scientific, Waltham MA, USA) operated in data-dependent acquisition mode for label-free liquid chromatography mass spectrometry. Nine proteins in plasma samples from the same participants were assessed using enzyme-linked immunosorbent assay (ELISA). A cohort of non-high risk individuals were included in the study.

The team used machine learning machine learning, and homed in on a unique pattern of proteins that distinguished those who ultimately went on to develop a psychotic disorder. Ten particular proteins were identified as most predictive, and the test was subsequently validated in a separate dataset. Using the most accurate protein pattern, they were able to correctly determine which high-risk subjects would go on to develop a psychotic disorder by the age of 18 with a 93% accuracy.

The test was less accurate in predicting those high-risk 12-year-olds that did not go on to develop a psychosis by the age of 18. However, considering only between 16% and 35% of young people considered at clinical high risk ultimately transition to a full psychotic disorder, even this low level of accuracy could be useful in stratifying those younger patients more likely to develop psychosis.

David R. Cotter, PhD, a molecular psychiatrist and a senior author of the study, said, “Our study has shown that, with help from machine learning, analysis of protein levels in blood samples can predict who is at truly at risk and could possibly benefit from preventive treatments. We now need to study these markers in other people at high risk of psychosis to confirm these findings.”

The authors concluded that they had developed models incorporating proteomic data predicting transition to psychotic disorder in the CHR state. In a general population sample, several of the same proteins contributed to prediction of psychotic experiences. The study was published on August 26, 2020 in the journal JAMA Psychiatry.

Gold Supplier
Tumor Marker Control
Tumor Marker Control
Silver Supplier
COVID-19 IgM & IgG Quality Control
COVID-19 IgM & IgG Quality Control
D-Dimer ELISA Kit
D-Dimer AccuBind ELISA Kit
Gold Supplier

Print article
BIOHIT  Healthcare OY



view channel
Image: Quidel Receives Amended FDA Emergency Use Authorization for New AI-Powered Sofia Q Rapid Antigen Test Device (Photo courtesy of Quidel Corporation)

Quidel Receives Amended FDA Emergency Use Authorization for New AI-Powered Sofia Q Rapid Antigen Test Device

Quidel Corporation (San Diego, CA, USA) has received an amended Emergency Use Authorization (EUA) from the US Food and Drug Administration (FDA) allowing the company to market Sofia Q, its latest addition... Read more
Copyright © 2000-2021 Globetech Media. All rights reserved.