Biomarkers as Predictors of Suicidal Risk in Adolescents
Status: | Recruiting |
---|---|
Conditions: | Psychiatric |
Therapuetic Areas: | Psychiatry / Psychology |
Healthy: | No |
Age Range: | 12 - 18 |
Updated: | 3/2/2019 |
Start Date: | December 2016 |
End Date: | August 2019 |
Contact: | Tatiana Falcone, M.D. |
Email: | falcont1@ccf.org |
Phone: | 216-444-7459 |
Peripheral Neuroinflammatory Predictors of Suicidal Risk at Time of Inpatient Discharge in Adolescents
Suicide is one of the most devastating events in society at all levels. The primary goal of
this study is to predict suicide in adolescents at risk. We will utilize blood biomarker
measurement and clinical risk factor scales to develop a tool to identify adolescents at risk
for suicide earlier, which will allow clinicians to prescribe timely treatment and prevent
suicide.
this study is to predict suicide in adolescents at risk. We will utilize blood biomarker
measurement and clinical risk factor scales to develop a tool to identify adolescents at risk
for suicide earlier, which will allow clinicians to prescribe timely treatment and prevent
suicide.
Suicide, the second leading cause of death in adolescents (15-24 year olds), is the most
tragic complication of a psychiatric condition in this age group. Every year, approximately
157,000 youth receive medical care for suicide related injuries at emergency departments
throughout the U.S. Despite some progress, suicide prevention continues to be a daunting
task. In adolescents, the risk of a second suicide attempt is approximately 30% after
discharge from an inpatient psychiatric unit. Up to 80% of suicidal patients who subsequently
died by suicide deny suicidal ideation in their last communication with a health care
provider. Therefore, there is an urgent need for the development of biomarkers that can
objectively identify which youth are most likely to engage in subsequent suicide attempts.
Several lines of evidence (postmortem studies, genetic studies, biomarker studies) as well as
preliminary studies conducted by our group have pointed to neuroinflammation as one of the
neurobiological findings observed in suicidal behavior. In particular, the principal
investigator and co- investigators have identified S100B - an astrocytic protein, which is a
marker of blood brain barrier (BBB) impairment, as a novel biomarker associated with
suicidality in adolescents. We are now also investigating three additional and important
markers Kynurenic Acid (KYNA), Quinolinic Acid (QUIN), and Picolinic Acid (PIC) identified by
Dr. Lena Brundin (Van Andel Institute) to be altered in patients after a suicide attempt.
Other studies have reported several other peripheral inflammatory markers (PlMs) including
interleukin-1 beta (IL-1ß), interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) as
associated with suicidality. Hence, PlMs either on their own or along with clinical markers
may be particularly useful in predicting future suicide attempts. This study will investigate
whether PIM levels, with or without clinical predictors, can be useful at the time of
discharge from an inpatient psychiatric unit to predict suicidality in adolescent patients in
the subsequent 12 months. The first aim of this study is to determine whether plasma levels
of S100B, IL-1ß, IL-6, TNF-α, KYNA, QUIN, and PIC correlate with suicidal behavior (SB).
Secondly, this study will investigate if any of the PlMs can predict suicidal attempts.
Finally, we will test which combination of clinical risk factors and PlMs is able to most
efficiently predict SB post-discharge from the inpatient unit.
Innovative aspects of this study include: 1) The first study to longitudinally investigate
levels of PlMs at the time of admission and their change at the time of discharge in
adolescent patients being admitted for SB. 2) The first study to investigate whether level of
PIMS (alone or in combination with clinical risk factors) at the time of discharge can
predict readmissions for SB in the next 12 months. 3) Beside the well-studied PIMs in adult
samples, specifically investigate novel biomarkers of inflammation- S100B and 3 markers of
the Kynurenine pathway (KYNA, QUIN and PIC).
tragic complication of a psychiatric condition in this age group. Every year, approximately
157,000 youth receive medical care for suicide related injuries at emergency departments
throughout the U.S. Despite some progress, suicide prevention continues to be a daunting
task. In adolescents, the risk of a second suicide attempt is approximately 30% after
discharge from an inpatient psychiatric unit. Up to 80% of suicidal patients who subsequently
died by suicide deny suicidal ideation in their last communication with a health care
provider. Therefore, there is an urgent need for the development of biomarkers that can
objectively identify which youth are most likely to engage in subsequent suicide attempts.
Several lines of evidence (postmortem studies, genetic studies, biomarker studies) as well as
preliminary studies conducted by our group have pointed to neuroinflammation as one of the
neurobiological findings observed in suicidal behavior. In particular, the principal
investigator and co- investigators have identified S100B - an astrocytic protein, which is a
marker of blood brain barrier (BBB) impairment, as a novel biomarker associated with
suicidality in adolescents. We are now also investigating three additional and important
markers Kynurenic Acid (KYNA), Quinolinic Acid (QUIN), and Picolinic Acid (PIC) identified by
Dr. Lena Brundin (Van Andel Institute) to be altered in patients after a suicide attempt.
Other studies have reported several other peripheral inflammatory markers (PlMs) including
interleukin-1 beta (IL-1ß), interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) as
associated with suicidality. Hence, PlMs either on their own or along with clinical markers
may be particularly useful in predicting future suicide attempts. This study will investigate
whether PIM levels, with or without clinical predictors, can be useful at the time of
discharge from an inpatient psychiatric unit to predict suicidality in adolescent patients in
the subsequent 12 months. The first aim of this study is to determine whether plasma levels
of S100B, IL-1ß, IL-6, TNF-α, KYNA, QUIN, and PIC correlate with suicidal behavior (SB).
Secondly, this study will investigate if any of the PlMs can predict suicidal attempts.
Finally, we will test which combination of clinical risk factors and PlMs is able to most
efficiently predict SB post-discharge from the inpatient unit.
Innovative aspects of this study include: 1) The first study to longitudinally investigate
levels of PlMs at the time of admission and their change at the time of discharge in
adolescent patients being admitted for SB. 2) The first study to investigate whether level of
PIMS (alone or in combination with clinical risk factors) at the time of discharge can
predict readmissions for SB in the next 12 months. 3) Beside the well-studied PIMs in adult
samples, specifically investigate novel biomarkers of inflammation- S100B and 3 markers of
the Kynurenine pathway (KYNA, QUIN and PIC).
Inclusion Criteria:
Suicide Attempt Study Group:
- 12-18 years of age
- admitted to the Cleveland Clinic inpatient child and adolescent psychiatry unit after
suicidal ideations or a suicide attempt
Healthy Control Group:
- 12-18 years of age
- No history of suicide attempt
Exclusion Criteria:
Suicide Attempt Study Group:
- History of autism spectrum disorder
- Non-verbal
- Moderate or severe intellectual disability (IQ<70 and patients in special education
full-time)
- Schizophrenia or schizoaffective disorder diagnosis
- Current diagnosis of anorexia or bulimia
- History of generalized tonic-clonic epileptic seizures in last 3 months (If patient
does not have a history of seizures, and generalized tonic-clonic seizure was
clinically determined to be caused by patient's recent overdose attempt, patient can
still be recruited for study if 24 hours has passed since last seizure)
- History of traumatic brain injury, brain tumor, or any major neurological disorder
- Delirium or mood disorder secondary to general medical condition
- Current infection, fever, antibiotic use in the last 2 weeks
- History of autoimmune or immunodeficiency diseases
- Current untreated major endocrine disorder
- Current pregnancy or delivery within the last month
- Diagnosed malnutrition
- Positive urine toxicology for benzodiazepines or opiates on admission
- Current substance use disorder diagnosis and referral for CD assessment upon discharge
- Current diagnosis of morbid obesity or a current BMI greater than 40 kg/m2
- Abnormal complete blood count (CBC)
Healthy Control Group:
- History of any psychiatric diagnosis / treatment (behavioral diagnoses [ADD/ADHD/etc]
are okay)
- History of suicidal ideation, behavior, or attempt
- Family history of suicide attempts
- Diagnosis of schizophrenia or bipolar disorder in parents or siblings
- History of autism spectrum disorder
- Moderate or severe intellectual disability (IQ<70 and patients in special education
full-time)
- History of generalized tonic-clonic epileptic seizures in last 3 months
- History of headaches or migraines in the last month
- History of traumatic brain injury, brain tumor, or any major neurological disorder
- Delirium or mood disorder secondary to general medical condition
- Current infection, fever, antibiotic use in the last 2 weeks
- History of autoimmune or immunodeficiency diseases
- Current untreated major endocrine disorder
- Current pregnancy or delivery within the last month
- Diagnosed malnutrition
- Report of any substance use in week prior
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