Cited by 150Neuroendocrine regulation and behaviorStress Responses and CortisolNeuropeptides and Animal Physiology

The DOI matches its Crossref record; 140 of the 148 references it cites were found in a registry or an index; none of the 31 sources its claims cite is checked for support yet.

Peripheral oxytocin and vasopressin: Biomarkers of psychiatric disorders? A comprehensive systematic review and preliminary meta-analysis

Open access

Abstract

A large array of studies have investigated peripheral oxytocin (OT) and vasopressin (ADH) as potential biomarkers of psychiatric disorders, with highly conflicting and heterogenous findings. We searched Web of KnowledgeSM and Scopus® for English original articles investigating OT and/or ADH levels in different biological fluids (plasma/serum, saliva, urine and cerebrospinal fluid) across several psychiatric disorders. Sixty-four studies were included. We conducted 19 preliminary meta-analyses addressing OT alterations in plasma/serum, saliva, urine and cerebrospinal fluid of 7 psychiatric disorders and ADH alterations in plasma/serum, saliva, urine and cerebrospinal fluid of 6 psychiatric disorders compared to controls. Hedge's g was used as effect size measure, together with heterogeneity analyses, test of publication biases and quality control. None of them (except serum OT in anorexia nervosa) revealed significant differences. There is no convincing evidence that peripheral ADH or OT might be reliable biomarkers in psychiatric disorders. However, the lack of significant results was associated with high methodological heterogeneity, low quality of the studies, small sample size, and scarce reliability of the methods used in previous studies, which need to be validated and standardized.

Overview

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TL;DR

This systematic review and preliminary meta-analysis found no convincing evidence that peripheral oxytocin or vasopressin levels are reliable biomarkers across psychiatric disorders. The only Bonferroni-corrected significant difference was lower serum oxytocin in anorexia nervosa, amid high heterogeneity and methodological limitations.

Key findings

  • Across 19 preliminary meta-analyses, none except serum OT in anorexia nervosa showed significant differences after correction: AN serum OT n=2, overall sample=71, Hedges’ g=−0.824, 95% CI −1.308 to −0.341, p corr=0.001.
  • Several uncorrected signals did not survive Bonferroni correction: CSF OT in OCD g=0.599 (p unc=0.004, p corr=ns); CSF ADH in AN g=0.922 (p unc=0.008, p corr=ns); CSF ADH in OCD g=0.601 (p unc=0.003, p corr=ns); plasma ADH in psychosis g=−0.554 (p unc=0.008, p corr=ns); salivary OT in ASD g=−0.354 (p unc=0.046, p corr=ns).
  • Heterogeneity was often substantial or considerable, e.g. plasma OT in ASD Q=64.613, I²=93.81, p<0.001; plasma ADH in psychosis Q=55.984, I²=82.14, p<0.001.
  • In psychosis plasma ADH, extraction technique mattered: extracted studies n=6, overall sample=220, Hedges’ g=−1.099, 95% CI −1.617 to −0.581, p=0.001, Q=13.626, I²=63.31, p=0.018.

Methods

  • Systematic search of Web of Knowledge and Scopus until March 1, 2015, plus manual reference search; English original articles with ICD/DSM psychiatric diagnosis, healthy comparison group, and peripheral OT/ADH in plasma/serum, saliva, urine, or CSF; MOOSE guidelines adopted.
  • Sixty-four studies were included (final database 64 samples); 19 preliminary meta-analyses were performed; diagnoses with only one study available were not meta-analyzed.
  • Hedges’ g effect sizes with random-effects models, Bonferroni correction (0.05 divided by number of meta-analyses), Q and I² heterogeneity, Duval and Tweedie trim-and-fill publication bias testing, sensitivity analyses, and adapted Newcastle-Ottawa Scale quality assessment.

Limitations

  • The paper states subgroups were very small, studies were highly heterogeneous, and confounders were common: 38% of included studies reported lithium salts, 42/62 (68%) failed to control for alcohol intake, 70% (35/50) did not ascertain pregnancy, and only 18% of OT studies and no ADH studies analyzed menstrual cycle fluctuations; meta-regressions were not possible due numerical constraints.
  • The paper states study quality was low: Newcastle-Ottawa Scale scores ranged from 1 to 7, median 4 out of 9, and meta-analytical estimates were preliminary with high uncertainty.
  • Evident from the text: many meta-analyses pooled only 2 studies; urine and saliva ADH meta-analyses were not performed because insufficient data were retrieved; the effect of NOS scores on findings could not be directly assessed.

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Integrity signals

Registry

Crossref · 10.1016/j.psychres.2016.04.117

Cites

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Metadata

Authors
Rutigliano, G., Rocchetti, M., Paloyelis, Y., Gilleen, J., Sardella, A., Cappucciati, M., Palombini, E., Dell’Osso, L., Caverzasi, E., Politi, P., McGuire, P., & Fusar-Poli, P.
Affiliations
  • University of Pisa (IT)
  • King's College London (GB)
  • University of Pavia (IT)
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2016-07
Volume
241
Pages
207-220
ISSN
0165-1781 (ISSN-L)
OpenAlex
W2346907797
Cited by
149
References
148
Citations by year
2026: 6 · 2025: 6 · 2024: 11 · 2023: 15 · 2022: 19 · 2021: 17 · 2020: 19 · 2019: 12 · 2018: 21 · 2017: 19 · 2016: 3
FWCI
2.87
Type
journal article
Language
en
Open access
Locations
  • Psychiatry Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by)
  • Research Portal (King's College London) (submittedVersion, cc-by)
Funders
  • ESRC (ES/K009400/1)
  • NARSAD
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroendocrine regulation and behavior
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
Keywords
vasopressin, biomarkers, mental illness, saliva, plasma, serum, cerebrospinal fluid, urine, anorexia nervosa, methodological heterogeneity, study quality
MeSH terms
Mental Disorders, Humans, Oxytocin, Vasopressins, Reproducibility of Results, Biomarkers

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