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Study Matches
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Characterizing Inflammatory Profiles and Suicidal Behavior in Adolescents
Despite increasing suicide rates in adolescents, there remains a paucity of approaches to use
to prevent re-attempts. Any hope for breaking the code to prevent youth suicide lies in
understanding biological factors that play a role. Evidence suggests that inflammation and
immune system dysfunction may be linked to suicide. The investigators will develop immune
profiles for adolescents with suicidal behavior and those at risk in order to develop tools
that can be implemented for prevention efforts.
This study involves blood draws, answering questions, and completing questionnaires - no
treatment or intervention is provided as part of this study. Participants will be screened to
see if they qualify for this study using questionnaires.
Participants will be teens (ages 12-18 years) with recent suicidal behavior, teens at-risk
for developing depression, and healthy control teens. Participants complete all study-related
tasks four times over a period of 12 months. Electronic surveys will be sent to participants
to complete monthly. Both the adolescent and if applicable, their parent (or legally
authorized representatives, LARs), will answer questions regarding depression, anxiety, and
suicidal thoughts/behaviors.
Call 214-648-5005
studyfinder@utsouthwestern.edu, Sarah.Gibson2@UTSouthwestern.edu
studyfinder@utsouthwestern.edu, Sarah.Gibson2@UTSouthwestern.edu
Madhukar Trivedi
17410
All
12 Years to 18 Years old
NCT04783506
STU-2020-1297
Other: Observational Study
Other, Suicide and Depression
suicide attempt, suicidal behavior, healthy control, adolescent, observational, depression, suicidal idation, suicide, anxiety, PTSD, substance abuse, healthy teen, depressed teen, children, teenage
UT Southwestern; Children’s Health
Resilience in Adolescent Development (RAD)
The RAD study is a longitudinal study to prospectively characterize the biological mechanisms
of resilience in adolescents and young adults at risk for developing depression. The study
will capture biomarkers from the domains of socio-demographic and clinical data, cognitive
and psychological assessments, fluid-based biomarkers, neuroimaging and EEG. Such biomarkers
will compose a human biosignature of resilience and identify risk factors for depression,
contributing to effective treatment selection or may represent moderators of response or
non-response to treatments in subjects with depression. A cohort of 1,500 participants, age
10-24 will be recruited over a 5 year period. Participants will be followed for 10 years
following an initial baseline visit. Study visits are conducted 4 times per year.
Call 214-648-5005
studyfinder@utsouthwestern.edu, Ronnie.Pedroncelli@UTSouthwestern.edu
studyfinder@utsouthwestern.edu, Ronnie.Pedroncelli@UTSouthwestern.edu
Madhukar Trivedi
17410
All
10 Years to 24 Years old
N/A
NCT03458936
STU 062016-042
Depression, Anxiety Disorders, Risk Assessment, Resilience, Psychological, Mood Disorders
Depression, Adolescence, Resilience, Risk Factor, Biomarker
Youth Depression and Suicide Research Network (YDSRN)
The objective of this study is to build the Texas Youth Depression and Suicide Research
Network to support the development of a Network Participant Registry and characterization of
systems and interventions to examine statewide population health outcomes. All 12-13 sites
represented in the Texas Child Mental Health Care Consortium
(https://www.utsystem.edu/pophealth/tcmhcc/) have been invited to participate in the Texas
Youth Depression and Suicide Research Network as "Nodes." 12 Nodes have been selected for
this project. Each Node has obtained support of senior institutional leadership including the
department chair. Leadership from each Node provided input and edits in the study design
process by committee, with a focus on the inclusion of the "end user" in design decisions.
Nodes will work closely with the Network Hub leadership to recruit, monitor, and retain
participants. This will require active engagement and sustained relationships with clinics
within the academic medical center as well as clinics in the community (i.e., psychiatry,
psychology, counselling).
Call 214-648-5005
studyfinder@utsouthwestern.edu, Holli.Slater@UTSouthwestern.edu
studyfinder@utsouthwestern.edu, Holli.Slater@UTSouthwestern.edu
Madhukar Trivedi
17410
All
8 Years to 20 Years old
NCT04572321
STU-2020-0665
Depression, Suicidal Ideation, Suicide, Attempted, Depressive Disorder, Suicide, Depressive Episode, Depressive Symptoms, Depression and Suicide, Depression, Teen, Depression, Anxiety
depression, suicide, suicidal ideation, suicide attempt, teen, child, depressive episode, depression in teens
Children’s Health
Obesity and OSA in Pregnancy
The purposes of this project are 1) to compare the impact of maternal obesity versus
excessive gestational weight gain on obstructive sleep apnea (OSA) in obese and non-obese
women; 2) to investigate the mechanism(s) by which obesity and OSA increase cardiovascular
risk during pregnancy; and 3) to identify biomarker(s) for obesity-related OSA in pregnant
women.
Call 214-648-5005
studyfinder@utsouthwestern.edu, Lauren.Houston@UTSouthwestern.edu
studyfinder@utsouthwestern.edu, Lauren.Houston@UTSouthwestern.edu
Qi Fu
63246
Female
18 Years to 64 Years old
NCT05654259
STU 062018-089
Obesity, Blood Pressure, Obstructive Sleep Apnea, Obesity, Maternal
obesity, pregnancy, sleep apnea, blood pressure
Aging and Disease Course: Contributions to Lifespan Neurobiology of Schizophrenia
The 2020 NIMH Strategic Plan for Research calls for investigations targeting neurobiology of
mental illness across the lifespan. Growing evidence suggests that lifespan neurobiology of
schizophrenia (SZ) incorporates two distinct dimensions: aging and disease course. However,
their clinical correlates, associated biomarker trajectories, and implications for treatment
are unknown. This study will investigate differential aspects of SZ neurobiology captured by
aging and disease course, in order to develop specific biomarkers which may offer actionable
targets for SZ stage-dependent intervention. The study is predicated on a novel mechanistic
Model of SZ Trajectories across the Adult Lifespan, positing distinct biological fingerprints
within the anterior limbic system for aging and disease course in SZ: (1) alterations in the
circuit's function and structure that occur earlier in the lifespan and are larger in
magnitude than the alterations expected with normal aging (accelerated aging dimension); and
(2) regionally-specific anterior limbic "hyperactivity" in early SZ, with a subsequent
transformation into "hypoactivity" in advanced SZ (disease course dimension). In a sample of
SZ and matched healthy controls (n=168, 84/group) aged 18-75 years the investigators will
ascertain a broad panel of biomarkers [via multimodal brain imaging: optimized 1H-MRS,
high-resolution task-based fMRI, perfusion (Vascular Space Occupancy) and structural MRI],
along with comprehensive cognitive and clinical assessments. All measures will be acquired at
baseline and repeated at 2-year longitudinal follow-up. Using cutting-edge computational
approaches, the study will examine (i) effects of aging and SZ course on anterior limbic
system biomarkers; (ii) lifespan trajectories for different biomarkers; (iii) patterns of
limbic system biomarkers in age- and SZ course-based subgroups (e.g., Younger vs. Older,
Early-Course vs. Advanced SZ), as well as in data-driven subgroups (e.g., those with vs.
without accelerated aging profiles); and (iv) associations between biomarkers and cognitive
and clinical outcomes. This research will advance the field by providing novel biomarkers
that capture unique neurobiological contributions of aging and disease course in SZ, and will
motivate future studies on SZ mechanisms across the lifespan and development of precision
treatments.
Call 214-648-5005
studyfinder@utsouthwestern.edu, Monserrat.Feria-Vargas@UTSouthwestern.edu
studyfinder@utsouthwestern.edu, Monserrat.Feria-Vargas@UTSouthwestern.edu
Elena Ivleva
70523
All
18 Years to 75 Years old
NCT04951700
STU-2021-0413
Other: Other
Schizophrenia, Aging, Disease Course, Biomarker, Neuroimaging, Cognitive Dysfunction
UT Southwestern
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