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Large Cleveland Clinic investigation attracts NIMH grant
Objective disease measures are helpful and needed in any condition, but there may be no condition where they matter more than in suicidal ideation: Studies show that up to 78 percent of patients dying from suicide denied having suicidal thoughts when they last spoke with a healthcare provider.
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Objective measures for suicide risk have been scarce, but a Cleveland Clinic-led research team hopes to change that with a study launched in fall 2016. The study, supported by a $400,000 grant from the National Institute of Mental Health, is investigating whether blood levels of the astrocytic protein S100B and other peripheral inflammatory markers can predict suicidality in adolescents following hospital discharge after a previous suicide attempt.
“We know that about 30 percent of adolescents who attempt suicide will have a relapse of suicidal ideation,” says lead investigator Tatiana Falcone, MD, a child and adolescent psychiatrist in Cleveland Clinic’s Center for Behavioral Health. “So we want to see if their levels of these inflammatory markers following discharge correspond with whether and when they may have suicidal thoughts again.”
She adds that a potential ultimate goal would be a blood test to help predict which patients are at greatest risk of relapse so that interventions can be targeted accordingly.
The study builds on several lines of evidence — postmortem, genetic and biomarker studies — pointing to neuroinflammation as one of the potential neurobiological bases for suicidal behavior.
Most notable is earlier clinical work by Dr. Falcone’s team showing that S100B, a marker of blood-brain barrier impairment, can help predict suicidality in adolescents with psychosis and mood disorders (PLoS One. 2010;5:e11089). That trial showed that the higher an adolescent’s serum level of S100B was, the higher his or her score was on suicide screening instruments.
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But this earlier study was limited by its cross-sectional design. “We measured S100B levels one time, when patients were in the hospital, but we didn’t follow up to see what happened to the biomarker levels over time, following improvement or relapse,” Dr. Falcone explains.
So the newly launched study is taking a more expansive approach that will make it the first to longitudinally investigate levels of peripheral inflammatory markers in adolescents over time following discharge from an inpatient psychiatric unit for suicidal behavior. It is also expanding beyond a sole focus on S100B to measure additional peripheral inflammatory biomarkers studied to varying degrees in adult psychiatric samples:
The new study will enroll 120 patients and 40 controls over two years. Patients will be adolescents aged 12 to 18 years admitted to Cleveland Clinic’s psychiatric unit after a suicide attempt. All will have blood samples taken at admission, at discharge and then at any time they may relapse (i.e., make another suicide attempt) to assess serum levels of S100B and the other five inflammatory biomarkers.
At 1, 3, 6, 9 and 12 months after discharge, patients will be evaluated on the Columbia Suicide Severity Rating Scale and the Beck Scale for Suicide Ideation to assess for correlations with biomarker levels.
Controls, healthy age-matched adolescents without mood disorders, will undergo baseline assessment of biomarkers and suicide screens and a follow-up evaluation at 12 months to assess for any changes.
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“Our aim is to statistically test which combination of clinical risk factors and elevated inflammatory markers can most efficiently predict suicidal ideation or behavior following discharge,” says Dr. Falcone. “Because this is a longitudinal study, we also hope to determine whether biomarker elevations represent the chicken or the egg. In other words, does inflammation cause depression and suicidal thoughts, or does the stress that accompanies depression lead to increased inflammatory markers?”
While the study is a single-center investigation at Cleveland Clinic, Dr. Falcone’s team is collaborating with the laboratory of Lena Brundin, PhD, at Van Randel Research Institute in Grand Rapids, Michigan, for biomarker analyses.
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