Inflammatory Markers and Brain-Derived Neurotrophic Factor as Potential Bridges Linking Bipolar Disorder and Cardiovascular Risk Among Adolescents
Bibliographic record
Abstract
OBJECTIVE: Bipolar disorder (BD) is associated with increased rates of cardiovascular disease (CVD). Brain-derived neurotrophic factor (BDNF) and inflammatory markers are leading biomarkers in BD. We examined whether these biomarkers underlie the link between BD and CVD proxies among adolescents with bipolar spectrum disorders. METHODS: Subjects were 60 adolescents, 13-19 years old (40 with BD and 20 healthy controls [HCs]). Semistructured interviews determined diagnoses based on DSM-IV. Serum was assayed for BDNF, interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α). Carotid intima media thickness (cIMT) and flow-mediated dilation were assessed using ultrasound. Procedures were conducted at a subspecialty clinic (January 2011-May 2014). RESULTS: Adolescents with BD had significantly greater waist circumference (BD: 81.72 cm [11.67 cm], HC: 75.64 cm [8.63 cm]; U = 547.5, P = .021), body mass index (BMI) (BD: 25.50 kg/m²undefined[5.29 kg/m²], HC: 21.76 kg/m² [3.43 kg/m²]; U = 608.5, P < .0001), pulse pressure (BD: 42.31 mm Hg [10.57 mm Hg], HC: 33.84 mm Hg [6.69 mm Hg]; U = 561.5, P < .001), and IL-6 (BD: 8.93 pg/mL [7.71 pg/mL], HC: 4.96 pg/mL [6.38 pg/mL]; U = 516.0, P < .0001) than HC adolescents. Subjects with BD-I (n = 14) and BD-II (n = 16) had greater IL-6 versus HCs (F₃,₅₁ = 5.29, P = .003). Controlling for BMI and age did not alter these findings. IL-6 was higher in symptomatic (n = 19) and asymptomatic BD (n = 21) versus that found in HCs (F₂,₅₂ = 7.96, P = .001). In symptomatic BD, lower BDNF was associated with greater mean cIMT (ρ = -0.507, P = .037). CONCLUSIONS: This study found evidence of increased inflammation among adolescents with BD. While present findings suggest a potential interplay between symptomatic status, biomarkers, and atherosclerosis proxies, there were no significant differences in cIMT or flow-mediated dilation in adolescents with BD compared to HCs. This may indicate that there is potential opportunity for CVD prevention strategies in adolescents with BD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".