Abstract Background: Schizophrenia (SCZ) shows marked biological heterogeneity, with negative symptoms linked to poor outcomes and hypothesized immune dysregulation. This study examined whether a peripheral cytokine–long non-coding RNA (lncRNA) panel could distinguish patients with SCZ and Brief Negative Symptom Scale (BNSS) -defined subgroups from healthy controls (HC). Methods: Forty-one hospitalized patients with SCZ completed the BNSS and the Positive and Negative Syndrome Scale (PANSS). Twenty HCs, frequency-matched for age and sex, served as comparison samples. Severe negative-symptom subgroups were defined using two BNSS criteria: a broader (SNS1) and a more restrictive (SNS2) threshold. Serum cytokines—interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-10 (IL-10) —and leukocyte lncRNAs (MALAT1, NEAT1, MEG3) were quantified by enzyme-linked immunosorbent assay and quantitative RT-PCR. Covariate-adjusted logistic and multinomial models (adjusting for age, sex, body mass index, and smoking) assessed discrimination using area under the receiver-operating-characteristic curve (AUC) and interquartile-range odds ratios (ORIQR). Results: IL-6 correlated with PANSS Total (ρ =. 48, p =. 001) and Negative (ρ =. 34, p =. 032) scores and was higher in SCZ than HC (p =. 033), with further increases in SNS subgroups. NEAT1 was significantly reduced only within BNSS-defined subgroups (p ≤. 025). The dual-marker pattern (IL-6 ↑, NEAT1 ↓) showed the strongest discrimination for SNS1 versus HC (AUC = 0. 85) and the steepest multinomial contrasts for SNS2 (IL-6 ORIQR = 4. 98; NEAT1 ORIQR = 0. 11). Conclusions: Elevated IL-6 and decreased NEAT1 define a peripheral signature linked to negative-symptom severity in SCZ and may support biologically informed stratification and longitudinal research.
Moga et al. (Fri,) studied this question.