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Chen H, Yang Y, Odisho D, Wu S, Yi C, Oliver BG. Can biomarkers be used to diagnose attention deficit hyperactivity disorder? Front Psychiatry 2023; 14:1026616. [PMID: 36970271 PMCID: PMC10030688 DOI: 10.3389/fpsyt.2023.1026616] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/14/2023] [Indexed: 03/10/2023] Open
Abstract
Currently, the diagnosis of attention deficit hyperactivity disorder (ADHD) is solely based on behavioral tests prescribed by the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). However, biomarkers can be more objective and accurate for diagnosis and evaluating treatment efficacy. Thus, this review aimed to identify potential biomarkers for ADHD. Search terms “ADHD,” and “biomarker” combined with one of “protein,” “blood/serum,” “gene,” and “neuro” were used to identify human and animal studies in PubMed, Ovid Medline, and Web of Science. Only papers in English were included. Potential biomarkers were categorized into radiographic, molecular, physiologic, or histologic markers. The radiographic analysis can identify specific activity changes in several brain regions in individuals with ADHD. Several molecular biomarkers in peripheral blood cells and some physiologic biomarkers were found in a small number of participants. There were no published histologic biomarkers for ADHD. Overall, most associations between ADHD and potential biomarkers were properly controlled. In conclusion, a series of biomarkers in the literature are promising as objective parameters to more accurately diagnose ADHD, especially in those with comorbidities that prevent the use of DSM-5. However, more research is needed to confirm the reliability of the biomarkers in larger cohort studies.
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Affiliation(s)
- Hui Chen
- Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Yang Yang
- Research Centre, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Diana Odisho
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Siqi Wu
- Research Centre, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Chenju Yi
- Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- Research Centre, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, China
- *Correspondence: Chenju Yi,
| | - Brian G. Oliver
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW, Australia
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Auditory brainstem response (ABR) profiling tests as diagnostic support for schizophrenia and adult attention-deficit hyperactivity disorder (ADHD). Acta Neuropsychiatr 2018; 30:137-147. [PMID: 28803577 DOI: 10.1017/neu.2017.24] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To evaluate the performances of two auditory brainstem response (ABR) profiling tests as potential biomarkers and diagnostic support for schizophrenia and adult attention-deficit hyperactivity disorder (ADHD), respectively, in an investigator-initiated blinded study design. METHOD Male and female patients with schizophrenia (n=26) and adult ADHD (n=24) meeting Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM IV) diagnostic criteria and healthy controls (n=58) comprised the analysis set (n=108) of the total number of study participants (n=119). Coded sets of randomized ABR recordings were analysed by an independent party blinded to clinical diagnoses before a joint code-breaking session. RESULTS The ABR profiling test for schizophrenia identified schizophrenia patients versus controls with a sensitivity of 84.6% and a specificity of 93.1%. The ADHD test identified patients with adult ADHD versus controls with a sensitivity of 87.5% and a specificity of 91.4%. CONCLUSION The ABR profiling tests discriminated schizophrenia and ADHD versus healthy controls with high sensitivity and specificity. The methods deserve to be further explored in larger clinical studies including a broad range of psychiatric disorders to determine their utility as potential diagnostic biomarkers.
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Manouilenko I, Humble MB, Georgieva J, Bejerot S. Brainstem Auditory Evoked Potentials for diagnosing Autism Spectrum Disorder, ADHD and Schizophrenia Spectrum Disorders in adults. A blinded study. Psychiatry Res 2017; 257:21-26. [PMID: 28710948 DOI: 10.1016/j.psychres.2017.06.085] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 06/29/2017] [Accepted: 06/29/2017] [Indexed: 10/19/2022]
Abstract
The aim of the present study was to examine the clinical utility of complex auditory brainstem response (c-ABR) and investigate if c-ABR is helpful in the diagnostic procedure. Thirty-one adult psychiatric patients, thoroughly diagnosed with autism spectrum disorder (ASD) (n=16), ADHD (n=8), or schizophrenia spectrum disorder (SSD) (n=7) and 15 healthy controls (HC), were blindly assessed with SensoDetect BERA. This c-ABR correctly identified psychiatric diagnoses in 4 patients (13%) and provided partially correct diagnoses in 11 more patients. Of the 15 HC, 6 were misclassified as psychiatric patients. The Cohen´s kappa coefficient (κ) was substantial for HC (κ=0.67), fair for SSD (κ=0.37), slight for ADHD (κ=0.09) and without agreement in ASD (κ=-0.03). In conclusion, we found the c-ABR method unhelpful and unreliable as a tool in clinical diagnostics.
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Affiliation(s)
- Irina Manouilenko
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Järva psychiatric out-patient clinic, Praktikertjänst AB, Stockholm, Sweden
| | - Mats B Humble
- School of Medical Sciences, Örebro University, Örebro, SE-70182 Örebro, Sweden; University Health Care Research Centre, Örebro University, Örebro, Sweden
| | - Jeanette Georgieva
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Susanne Bejerot
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; School of Medical Sciences, Örebro University, Örebro, SE-70182 Örebro, Sweden; University Health Care Research Centre, Örebro University, Örebro, Sweden.
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