H1-histamine receptor affinity predicts weight gain with antidepressants

https://doi.org/10.1016/j.euroneuro.2016.08.012Get rights and content

Abstract

Weight gain and metabolic abnormalities are extensively found in patients taking psychotropic medications. Although mainly antipsychotics have been implicated, also antidepressants carry the potential to induce weight gain, with tricyclics and mirtazapine being associated with the greatest weight gain. It has been suggested that this could be due to the different ability of antidepressants to block adrenergic, cholinergic, and histaminergic postsynaptic receptors. To date, however, the link between antidepressant-induced weight gain and their receptor affinity profile has not been established. We reanalysed data from a previous meta-analysis to evaluate whether weight change is associated with specific receptor affinity of antidepressants.

We retrieved data from the only meta-analysis that assessed weight change with antidepressants. We searched in the Psychoactive Drug Screening Program (PDSP) Ki database data on the affinities of antidepressants to receptors hypothetically linked with weight change: H1-histamine, 5HT2c, M3-muscarinic, and α1A-adrenergic receptors. The association between weight change and receptor affinities was estimated using meta-regression.

We found a significant association between the affinity of antidepressants to H1-receptor and weight gain (p value: <0.001). An association between weight gain and receptor affinity was also observed in the models for 5HT2c, M3, and α1A receptors. However, the association disappeared when H1-receptor was included in the models.

This reanalysis of data demonstrates that anti-histaminergic activity is the strongest predictor of weight gain with antidepressants. These results further stress a reclassification of antidepressants according to their pharmacodynamic properties, and suggest avoiding prescribing antidepressants with an anti-histaminergic profile to patients at risk for cardio-metabolic disturbances.

Introduction

Weight gain and metabolic abnormalities have been extensively found in patients suffering from psychiatric disorders, due to several causes such as unhealthy diet and inactivity, and to the use of several common psychotropic medications (De Hert et al., 2009; McElroy et al., 2009).

Although the use of antipsychotics has been mostly associated with weight gain, in recent years growing evidence indicates that also antidepressants carry the potential to induce weight gain and diabetes (Hasnain et al., 2012, Correll et al., 2015).

Antidepressants however are not equal in the capacity to induce weight gain. A meta-analysis based on 116 studies employing most marketed antidepressants, highlighted that different antidepressant medications greatly differ in their ability to affect body weight (Serretti and Mandelli, 2010). The authors found that tricyclics and mirtazapine were associated with the maximum weight gain, where most SSRIs, SNRIs and bupropion induced very little, if anything, weight gain (Serretti and Mandelli, 2010). They speculated that this could be due to the different ability of antidepressants to block adrenergic, cholinergic, and histaminergic postsynaptic receptors. In a recent review that discussed the relation between obesity and exposure to antidepressant medications, pharmacodynamic mechanisms such as adrenergic, muscarinic, and serotonergic receptor blockade were also called upon to explain weight gain with antidepressants (Lee et al., 2016).

To date, however, the link between antidepressant-induced weight gain and their receptor affinity profile has not been established. In the present study we reanalysed data from the meta-analysis from Serretti and Mandelli to evaluate whether the observed weight change could be explained with the receptor affinity of antidepressants.

Section snippets

Experimental procedures

To determine which receptor(s) are most likely responsible for antidepressant-induced weight gain, we retrieved weight change data from the abovementioned meta-analysis (Serretti and Mandelli, 2010); therefore, our analysis included all publications available to January 2009. To date, this is the only study that systematically assessed weight variations with different antidepressants. The authors identified 116 studies where weight was measured before and after the start of antidepressant

Results

Table 1 shows values of weight change associated with the use of different antidepressants and the Ki values that were used for the analysis. Results of the meta-regression are reported in Figure 1 and Table 2. We found a statistically significant inverse association between Ki of H1 receptor (H1-R) and weight gain (p value: <0.001) (Table 2 and Figure 1). Results did not change after adjustment for the affinity of each of the other receptors (Table 2). An association between weight gain and Ki

Discussion

Patients treated with psychotropic medications are at risk of weight gain and metabolic abnormalities, and, although only antipsychotic medications were previously considered likely to induce these adverse effects, further studies have underlined that this is not a “class effect”, since other medications such as the antidepressants also exert weight gain and metabolic disturbances.

For instance, in a previous study conducted on 138 patients with OCD followed for 2.5 years, we had showed that

Role of the funding source

None.

Contributors

Dr. Salvi designed the study and wrote the manuscript; Dr. Mencacci added significant comments and improvements to the manuscript, Dr. Barone-Adesi designed the study and performed the statistical analyses. All authors contributed to and have approved the final manuscript.

Conflict of interests

We report no conflict of interest to disclose for the present article.

Acknowledgements

We thank the colleagues at ASST-Fatebenefratelli-Sacco and at University of Eastern Piedmont for their support.

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