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Blood serotonin levels in autism spectrum disorder: A systematic review and meta-analysis
Open accessAbstract
Elevated blood serotonin (5-HT) levels were the first biomarker identified in autism research. Many studies have contrasted blood 5-HT levels in autistic patients and controls, but different measurement protocols, technologies, and biomaterials have been used through the years. We performed a systematic review and meta-analysis to provide an overall estimate of effect size and between-study heterogeneity, while verifying whether and to what extent different methodological approaches influence the strength of this association. Our literature search strategy identified 551 papers, from which 22 studies providing patient and control blood 5-HT values were selected for meta-analysis. Significantly higher 5-HT levels in autistic patients compared to controls were recorded both in whole blood (WB) [O.R.=4.6; (3.1-5.2); P=1.0×10(-12]), and in platelet-rich plasma (PRP) [O.R.=2.6 (1.8-3.9); P=2.7×10(-7)]. Predictably, studies measuring 5-HT levels in platelet-poor plasma (PPP) yielded no significant group difference [O.R.=0.54 (0.2-2-0); P=0.36]. Altogether, elevated 5-HT blood levels were recorded in 28.3% in WB and 22.5% in PRP samples of autistic individuals, as reported in 15 and 4 studies, respectively. Studies employing HPLC vs fluorometric assays yield similar cumulative effect sizes, but the former display much lower variability. In summary, despite some limitations mainly due to small study sample sizes, our results significantly reinforce the reliability of elevated 5-HT blood levels as a biomarker in ASD, providing practical indications potentially useful for its inclusion in multi-marker diagnostic panels for clinical use.
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Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Diagnostic and Statistical Manual of Mental Disorders, 5th ed.
Carter, M. J. (2014) · Therapeutic Recreation Journal · Cited by 15,154
Meta-analysis: Principles and procedures
Egger, M., Smith, G. D., & Phillips, A. N. (1997) · BMJ · doi:10.1136/bmj.315.7121.1533 · Cited by 2,415
IDENTIFICATION AND ASSAY OF SEROTONIN IN BRAIN
Bogdanski, D. F., Pletscher, A., Brodie, B. B., & Udenfriend, S. (1956) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(25)11657-1 · Cited by 861
A transient placental source of serotonin for the fetal forebrain
Bonnin, A., Goeden, N., Chen, K., Wilson, M. L., King, J., Shih, J. C., Blakely, R. D., Deneris, E. S., & Levitt, P. (2011) · Nature · doi:10.1038/nature09972 · Cited by 608
Studies on 5-hydroxyindole metabolism in autistic and other mentally retarded children
Schain, R. J., & Freedman, D. X. (1961) · The Journal of Pediatrics · doi:10.1016/s0022-3476(61)80261-8 · Cited by 579
Lesch, K., Wolozin, B. L., Murphy, D. L., & Riederer, P. F. (1993) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1993.tb03522.x · Cited by 537
Gershon, M. D. (2004) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2004.02180.x · Cited by 521
Meta-analysis: Its strengths and limitations
WALKER, E., HERNANDEZ, A. V., & KATTAN, M. W. (2008) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.75.6.431 · Cited by 519
Targeting the murine serotonin transporter: insights into human neurobiology
Murphy, D. L., & Lesch, K.-P. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2284 · Cited by 478
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Muller, C. L., Anacker, A. M. J., & Veenstra-VanderWeele, J. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2015.11.010 · Cited by 531
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Abi‐Dargham, A., Moeller, S. J., Ali, F., DeLorenzo, C., Domschke, K., Horga, G., Jutla, A., Kotov, R., Paulus, M. P., Rubio, J. M., et al. (2023) · World Psychiatry · doi:10.1002/wps.21078 · Cited by 421
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Howes, O. D., Rogdaki, M., Findon, J. L., Wichers, R. H., Charman, T., King, B. H., Loth, E., McAlonan, G. M., McCracken, J. T., Parr, J. R., et al. (2018) · Journal of Psychopharmacology · doi:10.1177/0269881117741766 · Cited by 342
Metadata
- Authors
- Gabriele, S., Sacco, R., & Persico, A. M.
- Affiliations
- Università Campus Bio-Medico (IT)
- Corresponding author
- Persico, Antonio M.
- Venue
- European Neuropsychopharmacology
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 24
- Issue
- 6
- Pages
- 919-929
- ISSN
- 0924-977X (ISSN-L)
- OpenAlex
- W2158197814
- Cited by
- 346
- References
- 75
- Citations by year
- 2026: 21 · 2025: 18 · 2024: 36 · 2023: 43 · 2022: 31 · 2021: 40 · 2020: 27 · 2019: 30 · 2018: 26 · 2017: 22 · 2016: 17 · 2015: 20 · 2014: 14
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- European Neuropsychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroendocrine regulation and behavior
- Keywords
- autism spectrum disorder, blood serotonin, serotonin, biomarkers, platelet-rich plasma, whole blood, platelet-poor plasma, diagnostic panel, methodological heterogeneity
- MeSH terms
- Blood Chemical Analysis, Child Development Disorders, Pervasive, Humans, Serotonin, Biomarkers, Platelet-Rich Plasma, Endophenotypes
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