Introduction
Major depressive disorder (MDD) is generally considered a heterogeneous disease,1 with significant variability in symptom patterns, course trajectories and treatment responses.2 Therefore, studying subgroups or subtypes of patients with MDD that were more homogenous could help reduce research heterogeneity, better identify aetiological mechanisms, and develop more patient-specific diagnostic and therapeutic biomarkers.
Presently, new methods, such as data-driven and latent class analysis,3 are used to identify clinical subtypes of MDD and have received keen attention. However, most of these methods are based on ideal circumstances—effectively collecting sufficient data while feasibly capturing patients with similar backgrounds—which are difficult to achieve in clinical practice.4 Therefore, the classification of MDD subtypes remains mainly based on clinical symptom patterns or symptom clusters.5 The most comprehensively explored subtypes of depression, which entail the largest number of patients with ‘pure’ subtypes, include melancholic, atypical and anxious depression.6 Patients with the three subtypes of MDD differ not only in clinical symptoms but also in biological aspects such as brain structure and function, genetic variation, energy and inflammatory protein levels.7 This study focused on the differences in inflammatory markers.
Contrary to expectations, previous studies failed to reveal significant differences in the inflammatory marker interleukin (IL)-6 levels between healthy participants and patients with MDD8; this may be related to the heterogeneity among patients with MDD. Compared with healthy participants, IL-6 levels in patients with melancholic depression were significantly increased, while there was no significant difference in patients with atypical depression.9 This finding was consistent with another study10 indicating that the IL-6 levels may correlate with different subtypes of MDD. Other inflammation-associated proteins, such as serum C reactive protein (CRP) and tumour necrosis factor-α (TNF-α), also differed in different subtypes of MDD. For example, compared with melancholic depression, patients with atypical depression had higher CRP, IL-6 and TNF-α levels and higher body mass index (BMI), waist circumference and triglyceride levels but lower high-density lipid cholesterol levels. Moreover, patients with melancholic depression had significantly higher salivary cortisol levels than those with atypical depression, suggesting differences in the hypothalamic-pituitary-adrenal (HPA) -axis function, inflammation and biological function of the metabolic syndrome between these two subtypes.11 This is similar to the findings of another study reporting that patients with certain specific clinical characteristics among patients with atypical depression, such as atypical depression patients with increased appetite (n=23), had higher levels of insulin, insulin resistance, leptin, CRP and IL-6 at baseline.12
However, a systematic review study13 did not fully support these findings. This review included eight studies (n=6307). The meta-analysis results indicated that IL-6 and IL-1β increased in patients with melancholic depression and CRP increased in patients with atypical depression, while TNF-α, IL-2 and IL-10 did not differ between these two subtypes.13 A study from the Netherlands Study of Depression in Older Persons14 and a cross-sectional study in a large community cohort8 reported that no inflammatory biomarkers (CRP and IL-6) differed among older patients with MDD with severe atypical, severe melancholic and moderate–severe subtypes of depression. The observed significant increase in high-sensitivity C reactive protein (hsCRP) levels in patients with atypical depression was due to somatic diseases such as abnormal BMI, diabetes and hypertension rather than heterogeneity in MDD subtypes.8 In other words, there is no consistent conclusion on whether the levels of inflammatory markers are significantly different between atypical and melancholic depression subtypes, which needs further exploration. Moreover, there are few reports from Asian populations.
It is worth noting that there are few studies on the association between inflammatory markers and anxious depression, which accounts for the majority of patients with MDD with pure subtypes (up to 53%–78%).15 Two studies reported increased counts of leucocyte subsets (monocytes16 and basophils17 and enhanced glucocorticoid receptor-induced leucocyte responses18 in patients with the anxious depression subtype, indirectly suggesting changes in the immune system and suggesting a role of inflammation in the pathophysiology of anxious depression). The results of the Netherlands Study of Depression and Anxiety Disorders demonstrated that the anxious distress specifier was associated with increased innate cytokine production capacity rather than with basal inflammation (CRP, IL-6 and TNF-α) levels within a large sample of patients with MDD (n=1078).19 Other reports involved only the function of the HPA axis and the association of cortisol with anxious depression. In summary, previous evidence suggests that the association between inflammatory marker levels and patients with anxious depression urgently warrants further investigation.
In addition, whether the levels of inflammatory biomarkers at baseline can predict treatment outcomes remains to be explored. Previous evidence indicated that the severity of depressive symptoms in patients with melancholic depression was positively correlated with IL-6 and cortisol levels. In contrast, the severity of depressive symptoms in patients with atypical depression was negatively correlated with the expression levels of IL-6 and CRP.20 However, a large prospective cohort study (n=3118) revealed that baseline inflammatory marker levels, including IL-6, TNF-α and hsCRP, could not predict treatment outcomes among subtypes (atypical, melancholic, combined atypical and melancholic, and unspecified depression subtypes) at a 5.5-year follow-up.21
Thus, the protein levels of inflammatory factors in melancholic, atypical and anxious subtypes of depression remain ambiguous. However, there are few reports on the expression of inflammatory factors in patients with anxious depression. Additionally, it is unclear whether baseline inflammatory biomarker levels can indicate treatment outcomes at follow-up, and reports about Asian populations are lacking. Therefore, in this study, we employed an antibody array analysis to investigate the inflammatory markers (IL-6, TNF-α and hsCRP) in three different MDD subtypes—melancholic, atypical and anxious depression—and explored whether the baseline inflammatory marker levels could indicate the prognosis during acute treatment and at the 8th and 12th weeks of follow-up. We hypothesised that inflammatory biomarker levels among the three MDD subtypes would differ and that baseline inflammatory factors could indicate treatment outcomes during the follow-up period of acute treatment.