Red Blood Cell and Platelet Indices: A Potential Biomarker for Panic Disorder

Changes in mean platelet volume and hematologic indices in patients with panic disorder due to oxidative stress

OBJECTIVE

Cardiovascular disorders are common in patients with panic disorder (PD), usually mediated by platelets. The present study was conducted to evaluate oxidative stress conditions and complete analysis of blood cells in patients with PD.

SETTING AND SAMPLE POPULATION

Sixty healthy individuals and 60 patients were included in the study. Whole blood and serum samples were obtained from patients and controls.

MATERIALS & METHOD

Hematological studies, including blood cells count, hemoglobin, and hematocrit, were carried out on whole blood samples. In addition, oxidative stress indices including total antioxidant capacity, free oxygen species, and malondialdehyde concentration were measured in serum samples.

RESULTS

Results showed that patients with PD had a significant increase in mean platelet volume index (MPV), platelet distribution width (PDW), red blood cell distribution width (RDW), and mean corpuscular hemoglobin concentration (MCHC) compared with healthy subjects (p < .05). Also, oxidative stress indices were significantly elevated in patients with PD compared with control group (p < .05).

CONCLUSION

Elevated MPV is a hematologic indicator for patients with PD. This disorder may be caused by impaired serotonin metabolism, resulting in increased oxidative stress, as well as in platelet serotonin transporters. Regarding elevated oxidative stress, the risk of cardiovascular complications is high in patients with PD.

Biological and Clinical Markers to Differentiate the Type of Anxiety Disorders

The present chapter is an overview of possible biomarkers which distinguish anxiety disorders as classified by the DSM-5. Structural or activity changes in the brain regions; changes in N-acetylaspartate/creatine, dopamine, serotonin, and oxytocin; hearth rate variability; hypothalamic-pituitary-adrenal axis activity; error-related negativity; respiratory regulation; and genetic variants are proposed. However, their clinical utility is questionable due to low specificity and sensitivity: the majority does not distinguish subjects with different anxiety disorders, and they might be influenced by stress, comorbidity, physical activity, and psychotropic medications. In this framework, the staging model, a clinimetric tool which allows to define the degree of progression of a disease at a point in time and where the patient is located on the continuum of the course of the disease, is proposed since several DSM anxiety disorders take place at different stages of the same syndrome according to the staging model. Thus, a stage-specific biomarker model for anxiety disorders is hypothesized and illustrated.

Biological and Clinical Markers in Panic Disorder

OBJECTIVE

Classifying mental disorders on the basis of objective makers might clarify their aetiology, help in making the diagnosis, identify "at risk" individuals, determine the severity of mental illness, and predict the course of the disorder. This study aims to review biological and clinical markers of panic disorder (PD).

METHODS

A computerized search was carried out in PubMed and Science Direct using the key words: "marker/biomarker/clinical marker/neurobiology/staging" combined using Boolean AND operator with "panic." In addition, the reference lists from existing reviews and from the articles retrieved were inspected. Only English language papers published in peer-reviewed journals were included.

RESULTS

Structural changes in the amygdala, hippocampus, cerebral blood level in the left occipital cortex, serotonin 5-TH and noradrenergic systems activation, aberrant respiratory regulation, hearth rate variability, blood cells and peripheral blood stem cells, hypothalamic-pituitary-adrenal axis dysregulation were identified as potential candidate biomarkers of PD. Staging was identified as clinical marker of PD. According to the staging model, PD is described as follows: prodromal phase (stage 1); acute phase (stage 2); panic attacks (stage 3); chronic phase (stage 4).

CONCLUSION

The clinical utility, sensitivity, specificity, and the predictive value of biomarkers for PD is still questionable. The staging model of PD might be a valid susceptibility, diagnostic, prognostic, and predictive marker of PD. A possible longitudinal model of biological and clinical markers of PD is proposed.