Alex T. Raben1,2†Victoria S. Marshe3,4†Araba Chintoh1,2
Ilona Gorbovskaya3
Daniel J. Müller2,3,4*‡
Margaret K. Hahn1,2,4*‡- 1Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
- 2Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- 3Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- 4Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
Background: Antipsychotic-induced weight gain (AIWG) and other adverse metabolic effects represent serious side effects faced by many patients with psychosis that can lead to numerous comorbidities and which reduce the lifespan. While the pathophysiology of AIWG remains poorly understood, numerous studies have reported a positive association between AIWG and the therapeutic benefit of antipsychotic medications.
Objectives: To review the literature to (1) determine if AIWG is consistently associated with therapeutic benefit and (2) investigate which variables may mediate such an association.
Data Sources: MEDLINE, Google Scholar, Cochrane Database and PsycINFO databases were searched for articles containing all the following exploded MESH terms: schizophrenia [AND] antipsychotic agents/neuroleptics [AND] (weight gain [OR] lipids [OR] insulin [OR] leptin) [AND] treatment outcome. Results were limited to full-text, English journal articles.
Results: Our literature search uncovered 31 independent studies which investigated an AIWG-therapeutic benefit association with a total of 6063 enrolled individuals diagnosed with schizophrenia or another serious mental illness receiving antipsychotic medications. Twenty-two studies found a positive association while, 10 studies found no association and one study reported a negative association. Study variables including medication compliance, sex, ethnicity, or prior antipsychotic exposure did not appear to consistently affect the AIWG-therapeutic benefit relationship. In contrast, there was some evidence that controlling for baseline BMI/psychopathology, duration of treatment and specific agent studied [i.e., olanzapine (OLZ) or clozapine (CLZ)] strengthened the relationship between AIWG and therapeutic benefit.
Limitations: There were limitations of the reviewed studies in that many had small sample sizes, and/or were retrospective. The heterogeneity of the studies also made comparisons difficult and publication bias was not controlled for.
Conclusions: An AIWG-therapeutic benefit association may exist and is most likely to be observed in OLZ and CLZ-treated patients. The clinical meaningfulness of this association remains unclear and weight gain and other metabolic comorbidities should be identified and treated to the same targets as the general population. Further research should continue to explore the links between therapeutic benefit and metabolic health with emphasis on both pre-clinical work and well-designed prospective clinical trials examining metabolic parameters associated, but also occurring independently to AIWG.
Introduction
Second generation antipsychotics (SGAs; also known as atypical antipsychotics) are the cornerstone of schizophrenia treatment. They effectively reduce psychotic symptoms while demonstrating a reduction in extrapyramidal side effects as compared to their typical, or first generation counterparts. However, SGAs are not without their own set of common side effects. Numerous studies have linked SGAs to metabolic changes which place patients at risk for cardiovascular complications, including antipsychotic-induced weight gain (AIWG), dyslipidemia, insulin resistance and type-2 diabetes (Wirshing et al., 1998; Allison and Casey, 2001; Nasrallah, 2003; Nasrallah and Newcomer, 2004; Mackin et al., 2005; Chiu et al., 2006; Oriot et al., 2008; Fernandez-Egea et al., 2011). Notably, patients with schizophrenia have significantly reduced lifespans compared to the general population—by 11–20 years—which is attributable to their higher risk of death from cardiovascular causes (Hennekens and Newcomer, 2007; Laursen et al., 2013; Kredentser et al., 2014).
The metabolic liability differs among agents, with clozapine (CLZ), and olanzapine (OLZ), representing the two SGAs with the most adverse metabolic profile. Despite differences among agents, even the SGAs considered to be most metabolically neutral, (e.g., ziprasidone, and aripiprazole), are associated with significant weight gain in antipsychotic antipsychotic-naïve individuals (Correll, 2009; Patel et al., 2009; Bak et al., 2014). Moreover, CLZ represents the sole antipsychotic with superiority in treatment refractory schizophrenia, with some evidence also supporting efficacy advantages for OLZ, precluding avoidance of these agents in severely ill individuals (Lieberman et al., 2005). Therefore, with existing antipsychotics, early and effective treatment of schizophrenia is associated with an increase in cardiovascular burden.
Despite the associated cardio-metabolic morbidity, the underlying causes of AIWG and other metabolic changes remain largely elusive. Increased food intake appears to be a component (Benarroch et al., 2016), although it is less clear if AIWG is also attributable to reductions in resting energy expenditure (Cuerda et al., 2013). Animal and some human studies show that the various areas of neurotransmission altered by antipsychotics may affect energy and glucose regulation (Hahn et al., 2011). Antagonism of the histamine H1 (H1), serotonin 2A/2C (5-HT2A/C), and dopamine D1/D2/D3 receptors, as well as, adrenergic and muscarinic receptors are common effects of antipsychotics and each receptor has been implicated in weight regulation (Roerig et al., 2011). Similarly, disruption of insulin homeostasis has been tied to antagonism of serotonergic (5-HT2A/C) (Nonogaki et al., 1998; Gilles et al., 2005; Tulipano et al., 2007; Hahn et al., 2011; Guenette et al., 2013), adrenergic (α1) (Zillich et al., 2006; Savoy et al., 2008; Guenette et al., 2013) and muscarinic (M3) receptors (Hahn et al., 2011), both via the peripheral and central nervous system (CNS). Taken together, the possibility exists that neurotransmitter systems implicated in energy homeostasis may overlap with those implicated in therapeutic action of antipsychotics.
Notably, a large number of studies have studied the genetics of AIWG in order to identify subjects at high risk, unravel mechanisms and suggest new therapeutic drug targets. For AIWG and other antipsychotic-induced metabolic dysregulation, genetic variation of the dopamine D2 receptor (DRD2) and 5-HT2c receptor (HTR2C) genes have been substantially investigated. Although DRD2 variants have been associated with improvement of psychopathology (Zhang et al., 2010, 2015; Huang et al., 2016), those variants have not been consistently found to be associated with AIWG (Lett et al., 2011; Shams and Müller, 2014). For HTR2C, although variants have been implicated in AIWG, there is limited evidence linking these variants to therapeutic benefit (Lett et al., 2011; Mueller, 2011). At the presynaptic level, the synaptosomal-associated protein of 25 kDa (SNantipsychotic-25) which mediates presynaptic vesicle trafficking has been reported to be associated with AIWG and therapeutic benefit in a smaller study (Müller et al., 2005). This finding is of particular interest to insulin secretion which is mediated through SNantipsychotic-25 in the pancreas.
With respect to insulin-related pathways, genes including leptin, neuropeptide-Y (NPY) and glucagon-like peptide-1 (GLP-1) were reported to be associated with AIWG. Leptin plays a role in regulating circulating insulin (Yadav et al., 2013) and may moderate severity of clinical symptoms (Takayanagi et al., 2013; Nurjono et al., 2014). LEP rs7799039 has been associated with AIWG in 451 patients (Shen et al., 2014). NPY is a pancreatic neuropeptide expressed in the arcuate nucleus of the hypothalamus and stimulates food intake (Sato, 2005). NPY rs16147 has been significantly associated with AIWG in OLZ- and CLZ- treated patients; Tiwari et al., 2013), while other variants have been associated with symptoms and cortical structure in schizophrenia patients (LaCrosse and Olive, 2013). Lastly, GLP-1 (encoded by the GCG gene) is a gastric hormone which stimulates the secretion of insulin. Previous associations have been reported between AIWG and GCG rs13429709 in OLZ- or CLZ- treated patients, as well as, the SULT4A1-1 haplotype in OLZ-treated patients from the CATIE trial for which patients had greater clinical response but gained significantly less weight (Ramsey and Brennan, 2014).
Other genes which have been investigated in association with AIWG (particularly by studying CLZ and OLZ) include cannabinoid receptor 1 (CNR1) (Tiwari et al., 2010), ghrelin (GHRL) (Yang et al., 2012), leptin receptor (LEPR) (Gregoor et al., 2009; Perez-Iglesias et al., 2010; Brandl et al., 2012), fat-mass and obesity-associated protein (FTO) (Jassim et al., 2010; Perez-Iglesias et al., 2010; Reynolds et al., 2012; Shing et al., 2014), adiponectin (ADIPOQ) (Jassim et al., 2010; Brandl et al., 2014), as well as, insulin-induced genes 1 and 2 (INSIG1 and INSIG2) (Le Hellard et al., 2008).
However, the most consistent genetic evidence has been presented for the melanocortin-4 receptor (MC4R). MC4R has been implicated in appetitive behavior, as well as, metabolic and weight regulation (Santini et al., 2009; Chowdhury et al., 2012; Malhotra, 2012; Yilmaz et al., 2014). MC4R remains the leading gene associated with monogenic obesity (Loos et al., 2008) and insulin resistance (Chambers et al., 2008). In particular for AIWG, a marker near the MC4R gene locus (rs489693) has been associated with SGA-related AIWG in at least three independent samples (Shams and Müller, 2014).
To summarize the large number of genetic studies conducted in AIWG, it appears that genes in distinct pathways or systems (i.e., at the receptor, synapse and energy homeostasis level) might be associated with AIWG, with each of them contributing limited risk, as expected in complex phenotypes. While there might be genetic variants which contribute to AIWG and therapeutic benefit simultaneously, there is a paucity of studies addressing this relationship and questions remain if AIWG and therapeutic benefit operate independently, i.e., where AWIG would be a pure side effect without therapeutic benefit.
In this review, we set out to evaluate whether an association between AIWG and/or other antipsychotic-related metabolic effects (e.g., insulin resistance, dyslipidemia) exists in relation to the therapeutic benefit of antipsychotics, across illness stage (also a proxy of age), ethnicities and study designs. We also discuss evidence whether such an association could be spurious vs. a true phenomenon with clinical implications. If indeed a true association exists between antipsychotic-induced metabolic dysregulation and treatment response, this would carry important clinical implications, such as the ability to safely target metabolic side-effects without compromise of treatment response, and the development of metabolically neutral yet effective drugs.
Methods
To answer our research questions, we conducted a systematic review of studies investigating the association between therapeutic benefit and AIWG. We searched for relevant systematic review databases, including PROSPERO and the Cochrane Database, and found no similar reviews on this topic. We also followed the PRISMA guidelines and completed a PRISMA checklist (see Supplementary Table 1).
We searched MEDLINE, Google Scholar and PsycINFO databases for articles containing all the following exploded MESH terms combine in the following way: schizophrenia [AND] antipsychotic agents/neuroleptics [AND] (weight gain [OR] lipids [OR] insulin [OR] leptin) [AND] treatment outcome. Results were limited to full-text, English journal articles that studied humans up to a publication date of November 2016. The resulting abstracts were reviewed by ATR and MKH and those articles of relevance were assembled. Each of these articles was then hand-searched by ATR and MKH and only those that investigated the association between AIWG or antipsychotic-induced metabolic changes (e.g., change in insulin levels) and therapeutic benefit either by correlation or comparison were included in further analysis. The bibliographies of the remaining articles were then hand-searched by ATR for further relevant articles and any of these additional articles which investigated for an AIWG/metabolic changes and therapeutic benefit link were included in our analysis. Finally, articles that did not perform a statistical analysis were excluded from our analysis.
Our primary outcome of interest was the examination of a correlation between AIWG metabolic changes and therapeutic benefit. A study population was considered to provide evidence for an AIWG/metabolic changes and therapeutic benefit association when patients treated with an antipsychotic showed a statistically significant (p < 0.05) correlation between AIWG and therapeutic benefit or a statistically significant (p < 0.05) difference in measures of therapeutic benefit relative to weight gain/metabolic changes. In addition, we performed an exploratory analysis to investigate clinical and demographic factors which might impact the association between AIWG and therapeutic benefit to identify potential mechanisms and mitigating factors.
Results
Our search retrieved 37 articles which investigated the link between metabolic changes and psychopathology in schizophrenia patients treated with antipsychotics. Of those, four studies were excluded (Gordon and Groth, 1964; Singh et al., 1970; Gupta et al., 1999; Wetterling and Müssigbrodt, 1999) due to lack of statistical analyses examining the AIWG-therapeutic benefit link. See Figure 1 for a flow diagram of the search and Table 1 for a summary of the 33 articles included in this review.
Figure 1. PRISMA flow diagram of the search used to find the publications included in this systematic review.
Table 1. Summary of the 33 articles included in this review.
We identified three double-blind, randomized control trials (DBRCTs) (Planansky, 1958; Holden and Holden, 1970; Poyurovsky et al., 2002), 12 non-randomized prospective trials (Leadbetter et al., 1992; Hummer et al., 1995; Jalenques et al., 1996; Bai et al., 1999; Garyfallos et al., 2003; Lane et al., 2003; Meltzer et al., 2003; Zhang et al., 2003, 2004; Venkatasubramanian et al., 2010; Schwarz et al., 2012; Konarzewska et al., 2013), 13 post-hoc analyses of DBRCTs and/or prospective trials (Bustillo et al., 1996; Basson et al., 2001; Czobor et al., 2002; Ascher-Svanum et al., 2005a,b; Müller et al., 2005; Zipursky et al., 2005; Procyshyn et al., 2007; Hermes et al., 2011; Agid et al., 2013b; Kemp et al., 2013), as well as, six chart reviews (Planansky, 1958; Lamberti et al., 1992; Umbricht et al., 1994; Bai, 2006; Hung et al., 2010; Sharma et al., 2011). In two cases, multiple reports analyzed the same original study: three articles (Basson et al., 2001; Ascher-Svanum et al., 2005b; Kinon et al., 2005) analyzed sample A (Tollefson et al., 1997), and two articles (Czobor et al., 2002; Müller et al., 2005) analyzed sample B (Volavka et al., 2002). Therefore, our analysis considered the results of these studies together rather than independently. Finally, one article combined two separate trials which were included individually in our analysis (Basson et al., 2001). Altogether, 31 independent study populations were considered in our analyses below. Table 2 summarizes the proportion of studies which showed evidence for an association.
Table 2. Evidence of association for different study variables.
Primary Aim: Association between Weight Gain/Metabolic Changes and Therapeutic Benefit
Weight Gain
The 31 independent studies comprised of 6063 individuals being treated with various antipsychotics (CLZ, OLZ, risperidone, haloperidol, quetiapine, ziprasidone, perphenazine, chlorpromazine, flupenthixol, chlordiazepoxide, and thioridazine). Study length ranged from 4 to 384 weeks. Weight change was the most commonly reported metabolic effect; 22 of the 31 studies examining AIWG demonstrated evidence for an association between weight gain and symptom improvement. Eight studies found no significant association and only 1 study showed evidence for the reverse relationship (i.e., weight gain correlating with clinical deterioration). Examining the studies according to study design, DBRCTs and prospective trials demonstrated roughly the same proportion of studies which found an association (67%), while post-hoc analyses showed a somewhat higher proportion (80%) (summarized in Table 2).
Other Metabolic Changes
Six studies investigated metabolic parameters other than weight gain, including serum lipids (Garyfallos et al., 2003; Procyshyn et al., 2007; Hermes et al., 2011), leptin (Venkatasubramanian et al., 2010; Schwarz et al., 2012), and insulin (Schwarz et al., 2012; Konarzewska et al., 2013). Garyfallos et al. (2003) found an association between elevated triglycerides (but not total cholesterol) and treatment response in patients receiving OLZ, but not risperidone. Procyshyn et al. (2007) adjusting for weight gain, reported that risperidone treated patients who improved in total and negative symptom PANSS scores had higher triglyceride and total cholesterol levels. Conversely, in a post-hoc analysis of the CATIE trial, Hermes et al. (2011) failed to find an association between fasting lipids and treatment response, even when analyses were conducted according to individual antipsychotic.
Other metabolic parameters examined in the context of treatment response included leptin and insulin. Higher serum leptin was an indicator of clinical improvement in two independent studies (Venkatasubramanian et al., 2010; Schwarz et al., 2012), across a variety of different antipsychotic treatments. Schwarz et al. (2012) showed a similar relationship with serum insulin where higher levels predicted better outcomes. Similarly, higher insulin levels were associated with improved psychopathology in an independent study by Konarzewska et al. (2013) in OLZ-, but not risperidone-treated patients.
Secondary Aim: Investigation of Study Variables (Clinical and Demographic Factors)
In order to further explore the association between AIWG and therapeutic benefit, we performed additional analyses to examine if any clinical or demographic factors might be driving the association between AIWG and therapeutic benefit. The results of the investigated factors of interest are summarized below.
Type of Antipsychotic Medication
CLZ (14 studies), OLZ (19 studies), risperidone (14 studies) and haloperidol (8 studies) were the most commonly used antipsychotics in our examined studies (see Table 1). Across studies examining individual antipsychotics, there was a consistent association between AIWG and clinical improvement with OLZ and CLZ treatment. Seven out of 9 studies examining OLZ individually (Czobor et al., 2002; Garyfallos et al., 2003; Ascher-Svanum et al., 2005a,b; Hermes et al., 2011; Kemp et al., 2013), and seven of ten studies examining CLZ individually (Leadbetter et al., 1992; Bustillo et al., 1996; Jalenques et al., 1996; Bai et al., 1999; Czobor et al., 2002; Meltzer et al., 2003; Bai, 2006), found a significant association.
Risperidone and haloperidol are less frequently reported to demonstrate a significant association between AIWG and psychopathology: three out of six studies for risperidone (Lane et al., 2003; Hung et al., 2010; Hermes et al., 2011), and one out of four studies for haloperidol (Ascher-Svanum et al., 2005b). Furthermore, of the seven trials which examined these different antipsychotics comparatively within the same study, four found an association for CLZ or OLZ, while failing to do so for risperidone or haloperidol (Bustillo et al., 1996; Czobor et al., 2002; Garyfallos et al., 2003; Konarzewska et al., 2013). Conversely, three studies found no difference between these antipsychotics when comparatively examined (Hummer et al., 1995; Ascher-Svanum et al., 2005b; Hermes et al., 2011). In summary, CLZ and OLZ are the two most-studied antipsychotics commonly reported to show an association between AIWG and therapeutic benefit.
Weight Gain and Therapeutic Benefit in Placebo Groups
Prior to the introduction and widespread use of antipsychotics, case reports and expert testimonial purported an association between spontaneous recovery and weight gain (Kalinowsky, 1948; Amdisen, 1964). Two studies included in our review found a relationship between weight gain and clinical improvement in control groups treated with placebo (Holden and Holden, 1970; Ascher-Svanum et al., 2005b). However, two other studies failed to find such a relationship in patients receiving placebo (Planansky and Heilizer, 1959; Kemp et al., 2013). Similarly, a study which grouped and analyzed risperidone-treated patients and placebo treated patients failed to find an overall association between weight gain and psychopathology changes (Procyshyn et al., 2007). In conclusion, the small number of studies investigating improvement on placebo and weight gain demonstrated inconsistent results.
Individual Domains of Psychopathology
The complex etiology underlying schizophrenia pathology is highlighted by the existence of individual symptom dimensions (positive, negative, disorganized, cognitive). Several studies examined specific domains of psychopathology in relation to metabolically-related changes during treatment. Improvement in both positive and negative symptoms appeared to be similarly correlated with AIWG (see Table 2). A small number of studies examined cognition, depressive symptoms or social/physical functioning reporting an association between improvement in these domains and AIWG (Planansky and Heilizer, 1959; Holden and Holden, 1970; Lane et al., 2003; Ascher-Svanum et al., 2005b). In terms of other metabolic changes, one study by Procyshyn et al. (2007) suggested that increased serum lipids may correlate with improvement in negative, but not in positive symptoms. Another study by Konarzewska et al. (2013) reported that higher insulin levels correlated with improvement in positive symptoms. Overall, while these preliminary results are interesting, it appears premature to draw conclusions given the limited number of studies which dissected different domains of psychopathology. Given CLZ's superiority in alleviating symptoms in refractory schizophrenia, it would be particularly interesting to investigate the association with AIWG (and other metabolic indices) and different domains of psychopathology in CLZ treated patients (Kane et al., 1988; McEvoy et al., 2006).
Baseline Psychopathology
A higher baseline psychopathology score may be associated with greater improvement over time based on regression to the mean. This was in fact supported by two studies included in this review (Müller et al., 2005; Hung et al., 2010). Alternatively, higher baseline psychopathology scores could predict treatment resistance. In order to explore if baseline psychopathology could have an effect on the association between AIWG and therapeutic benefit, we examined only those studies which controlled for baseline psychopathology. When examining these studies, six of seven studies found an association between AIWG and therapeutic benefit (Czobor et al., 2002; Meltzer et al., 2003; Ascher-Svanum et al., 2005b; Hung et al., 2010; Hermes et al., 2011; Kemp et al., 2013). Of note, all of these studies also controlled for baseline BMI.
Sex
Clinical data has suggested that females may be more susceptible to antipsychotic-associated weight gain as compared to males (Aichhorn et al., 2007; Gebhardt et al., 2009), although others have failed to demonstrate this association (Basson et al., 2001; Ratzoni et al., 2002). Nonetheless, we explored the effects of sex in the context of an association between AIWG and therapeutic benefit. While two studies found a female-exclusive association between AIWG and therapeutic benefit in patients treated with either CLZ (Bai et al., 1999) or risperidone (Hung et al., 2010), three other studies failed to find a sex-specific effect (Meltzer et al., 2003; Ascher-Svanum et al., 2005b; Bai, 2006). Of note, three studies examining male-only populations showed a correlation between AIWG or insulin levels and improved psychopathology (Planansky and Heilizer, 1959; Holden and Holden, 1970; Konarzewska et al., 2013). Overall, sex did not appear to emerge as a critical predictive factor for an association between AIWG and therapeutic benefit.
Duration of Previous Exposure to Antipsychotics
First/early exposure to antipsychotics has emerged as an important risk factor for the magnitude of AIWG observed in association with antipsychotics (Correll, 2009). Moreover, response rates are high; ~70% of individuals experiencing remission to the initial antipsychotic-trial (Agid et al., 2013a). In this regard, first episode populations may represent a unique population, as compared to chronic schizophrenia patients, where: (1) response rates to a new antipsychotic trial are expected to be lower; and (2) where a ceiling effect (or plateau) for weight gain may be reached. We identified 12 studies that included antipsychotic-naïve individuals (Planansky, 1958; Planansky and Heilizer, 1959; Holden and Holden, 1970; Poyurovsky et al., 2002; Garyfallos et al., 2003; Lane et al., 2003; Zhang et al., 2003, 2004; Zipursky et al., 2005; Venkatasubramanian et al., 2010; Schwarz et al., 2012; Kemp et al., 2013), of which nine demonstrated a significant association between AIWG and improvement in psychopathology (Planansky, 1958; Planansky and Heilizer, 1959; Holden and Holden, 1970; Garyfallos et al., 2003; Lane et al., 2003; Zipursky et al., 2005; Venkatasubramanian et al., 2010; Schwarz et al., 2012; Kemp et al., 2013) and three did not (Poyurovsky et al., 2002; Zhang et al., 2003, 2004). These results suggest that treatment of early psychosis, a stage of illness where individuals are especially susceptible to weight gain and exhibit high response rates, AIWG, appears to correlate with therapeutic benefit. Notably, duration of prior antipsychotic exposure may also serve as a proxy for younger age, which has been identified as a risk factor for AIWG (Ratzoni et al., 2002). However, only one of the identified studies examined the relationship between treatment response and AIWG specifically in an adolescent population (Kemp et al., 2013). While this study found a significant association, it remains to be determined if developmental trends could independently (i.e., of antipsychotic exposure) mediate an association between treatment response and AIWG.
Baseline Weight and Body Mass Index (BMI)
Lower baseline weight has been associated with greater AIWG (Basson et al., 2001). Of those studies that controlled for baseline weight or BMI, nine out of ten studies showed an association between weight gain and clinical improvements (Basson et al., 2001; Czobor et al., 2002; Lane et al., 2003; Meltzer et al., 2003; Ascher-Svanum et al., 2005b; Bai, 2006; Hung et al., 2010; Hermes et al., 2011; Kemp et al., 2013), with only one study failing to find an association (Zhang et al., 2003).
Ethnic Ancestry
The majority of the identified studies included North American and/or European samples but ethnicities in these population were often not reported or taken into account making it difficult to explore the effect of ethnicity. However, six studies were conducted in patients of East Asian ancestry (Bai et al., 1999; Lane et al., 2003, 200; Zhang et al., 2003, 2004; Bai, 2006; Hung et al., 2010). Four of these six studies provided evidence for an association between AIWG and therapeutic benefit (Bai et al., 1999; Lane et al., 2003; Bai, 2006; Hung et al., 2010) (in two studies this link was sex specific; Bai et al., 1999; Bai, 2006). Nonetheless, based on the limited number of studies available, it is difficult to make a conclusion regarding the effects of ethnic ancestry on the association between AIWG and therapeutic benefit.
Length of Treatment in Study
Fifteen studies analyzed the relationship between AIWG and therapeutic benefit at time points beyond 12 weeks. Ten out of these 15 studies found a significant correlation between AIWG and improvement in psychopathology (Planansky, 1958; Leadbetter et al., 1992; Jalenques et al., 1996; Bai et al., 1999; Czobor et al., 2002; Meltzer et al., 2003; Bai, 2006; Hermes et al., 2011; Sharma et al., 2011; Schwarz et al., 2012). Out of the 21 studies that analyzed data at 12 weeks or less, 15 found a significant association (Holden and Holden, 1970; Bustillo et al., 1996; Basson et al., 2001; Garyfallos et al., 2003; Lane et al., 2003; Meltzer et al., 2003; Ascher-Svanum et al., 2005a,b; Zipursky et al., 2005; Hung et al., 2010; Venkatasubramanian et al., 2010; Hermes et al., 2011; Schwarz et al., 2012; Kemp et al., 2013). This would suggest that length of treatment may not be a critical factor mediating the association between AIWG and therapeutic benefit.
Interestingly, a few studies analyzing data at multiple time points found an association earlier in the study, but not at later time points. In a 96-week study, Zipursky et al. (2005) found an association between AIWG and therapeutic benefit in OLZ- and haloperidol- treated patients in the first 6 weeks of treatment, but not after 12 weeks and beyond. Notably, in this study, the two drugs were not examined separately. Similarly, another study looking at CLZ-treated patients found an association between AIWG and therapeutic benefit at 10 weeks of treatment, but not after 48 weeks (Bustillo et al., 1996). Finally, Hermes et al. (2011) also found that the association changed with duration of treatment but this relationship was dependent on the antipsychotic studied. In pherphenazine-treated patients an association between AIWG and therapeutic benefit was found at 12 weeks, but not 72 weeks. Conversely, in risperidone-, quetiapine- and ziprasidone- treated patients no relationship was seen at the 12-week time point but a statistical significant association was then found at 72 weeks. Therefore, looking at these individual studies more closely suggests that there may in fact be a more nuanced relationship, whereby the association between AIWG and therapeutic benefit depends on duration of treatment, but this may depend on the individual medication examined. One could speculate that drugs with a rapid weight gain trajectory demonstrate an early association between therapeutic benefit and AIWG. Conversely, if agents with a slower weight gain trajectory are examined, the association with therapeutic benefit may be more prominent at later time-points in treatment.
Compliance
Compliance can be considered an important confounding factor when studying AIWG and therapeutic benefit. For example, patients who are compliant with treatment are expected to get better, and by virtue of taking the antipsychotic drug, also gain weight. Conversely, non-compliance, if not reported, may lead to a false association between lack of weight gain and poor treatment response. Seventeen studies attempted to control for antipsychotic compliance by either including only inpatients throughout the study or by employing different strategies during the study to monitor compliance. Of these studies, 14 found an association between adverse metabolic effects and therapeutic benefit (Planansky, 1958; Planansky and Heilizer, 1959; Holden and Holden, 1970; Leadbetter et al., 1992; Bai et al., 1999; Czobor et al., 2002; Garyfallos et al., 2003; Lane et al., 2003; Meltzer et al., 2003; Hung et al., 2010; Venkatasubramanian et al., 2010; Hermes et al., 2011; Schwarz et al., 2012; Konarzewska et al., 2013), while three did not (Lamberti et al., 1992; Zhang et al., 2003, 2004). Looking specifically at AIWG in relation to therapeutic benefit, 13 of 14 studies found an association, while one did not (Konarzewska et al., 2013). Taken together, compliance was rarely assessed or controlled for in a systematic manner in available studies, despite potential to influence results toward a false negative association. That said, most studies employing strategies to minimize this potential confounder appear to support the existence of a relationship between AIWG and therapeutic benefit.
Clinical Significance
The importance of addressing what constitutes a clinically meaningful relationship between change in weight and psychopathology has been highlighted previously (Hermes et al., 2011). Few of the studies provide sufficient data to assess how much of the variance in psychopathology change can be accounted for by AIWG. The accepted definition of clinically significant weight gain is a 7% or more increase in weight which corresponds to an absolute increase of at least 5 kg or 1.5 kg/m (Allison and Casey, 2001) in a 75 kg person with a BMI of 22. A decrease in psychopathology that is clinically meaningful was often defined in the studies we reviewed as a decrease of 20% or more in the BPRS or PANSS scale, improvement on CGI or a prolonged period of clinical stabilization.
Based on these definitions, five studies suggest a clinically relevant difference in weight gain or change in BMI between those with clinical response and those with poorer response or deterioration. Responders in these studies gained 5.2–9.3 kg more weight and, in one study, BMI increased by 1.7 kg/m2 more as compared to non-responders. Response rates were defined as ≥20% decrease in PANSS (Czobor et al., 2002), CGI-I 1-2 (Bai et al., 1999; Bai, 2006), late vs. early relapse (Schwarz et al., 2012) and in one older study, improvement on “gestalt” evaluation (Planansky, 1958).
Three other studies reported weight gain below the defined “clinically meaningful” threshold. One of these studies reported a weight gain difference of 3.5 kg in responders (≥20% decrease in BPRS) as compared to those with clinical deterioration (Ascher-Svanum et al., 2005b). Two other studies demonstrated comparative differences in weight gain of <1.5 kg between responders (defined as ≥20% decrease in PANSS and absolute BPRS score ≤ 17, respectively) and non-responders (Basson et al., 2001; Lane et al., 2003).
Several studies reported the degree of improvement in psychopathology in only those individuals who gained a “clinically meaningful” amount of weight. Kemp et al. (2013) demonstrated a 45.6% decrease in BPRS scores in those who gained ≥7% of their baseline weight, compared with a 31.9% reduction in those without a clinically significant weight gain. Five other studies suggested “subclinical” decreases in PANSS or BPRS (i.e., ≤ 12%) in patients who gained >7% of their body weight (Holden and Holden, 1970; Leadbetter et al., 1992; Ascher-Svanum et al., 2005b; Bai, 2006; Hermes et al., 2011). Taken together, according to the strictest definitions of treatment response and weight increase, only five of 13 studies showed a clinically meaningful association between AIWG and therapeutic benefit, providing mixed evidence that clinically significant weight gain is associated with a clinically meaningful treatment response.
Discussion
The literature to date suggests that a correlation exists between AIWG and therapeutic benefit, supporting findings from an earlier review (Mackin et al., 2005). In addition, we also identified a modest number of studies suggesting an association between increased serum lipids, leptin, insulin and improvements in psychopathology. We also assessed studies according to variables postulated to influence the AIWG-therapeutic benefit association. Examining studies according to some assurance of medication compliance, according to sex, ethnicity, or prior antipsychotic exposure did not conclusively emerge as moderators between AIWG and therapeutic benefit.
In contrast, four variables emerged as potential modulators of the AIWG-therapeutic benefit association. Whenever BMI and/or baseline psychopathology were controlled for, studies appeared to more consistently find an association. Persistence of the association between AIWG and therapeutic benefit in studies controlling for a “regression to the mean” effect, might argue for a true, rather than spurious association between the two phenomena. Another possible explanation for why studies including these covariates were more likely to demonstrate an association may be that controlling for these variables acts as a proxy for comprehensive study methodology. Furthermore, the combination of duration of treatment with weight gain trajectory associated with specific antipsychotics emerged as a potentially mediating variable. For example, we found some evidence that the highest metabolic liability agents (i.e., OLZ and CLZ) which have rapid weight gain trajectories showed an AIWG-therapeutic benefit association more consistently earlier-on in treatment than lower metabolic liability antipsychotics which have a slower weight gain trajectory. Finally, and notably, the individual antipsychotic examined appeared to influence the AIWG-therapeutic benefit association: those published studies looking at highest metabolic liability antipsychotics, specifically OLZ and CLZ, appeared more likely to show an association between weight gain and improvements in psychopathology, whereas those employing risperidone or haloperidol reported an association less frequently.
Explaining the Link between AIWG and Therapeutic Benefit
If indeed there is a correlation between AIWG and therapeutic efficacy, an important question becomes: what is the causal nature of this relationship? There are three potentially overlapping explanations for this association: (1) weight gain directly causes clinical improvement; (2) clinical improvement directly causes weight gain; (3) antipsychotic activity of the drugs causes both AIWG and therapeutic benefit by a) common/interdependent or b) independent/mutually exclusive pathways (Figure 2). Possibility 3A would imply that AIWG is necessary for therapeutic efficacy. Possibility 3B would suggest AIWG is a side effect which can be safely targeted (i.e., via lifestyle or pharmacological interventions) without compromising treatment efficacy.
Figure 2. Potential causal pathways for correlation of AIWG and therapeutic effect.
Observations from studies in this review and others suggest that AIWG and therapeutic benefit may occur as a result of the pharmacodynamic properties of antipsychotics but also that their relationship is not necessarily interdependent. For example, all antipsychotics can cause some degree of weight gain with substantial inter-individual variability and therapeutic benefit; however, as outlined in our review, not all of these agents show convincing evidence for an AIWG-therapeutic benefit correlation. This argues against weight gain being necessary for therapeutic benefit. The hypothesis of weight gain as a causal factor for clinical improvement is also weakened by a body of literature linking obesity, metabolic syndrome and insulin resistance to cognitive deficits and poor functioning both in the general population and in schizophrenia (Friedman et al., 2010; Lindenmayer et al., 2012). Finally, a number of lifestyle modification (Brar et al., 2005; Centorrino et al., 2006; Poulin et al., 2007) and drug trials (Maayan et al., 2010) have shown that weight gain prevention or attenuation in patients with schizophrenia treated with SGAs, is not associated with a detrimental effect on psychopathology. Similarly, switching strategies from a high risk to a lower metabolic liability antipsychotic do not suggest substantial risk of clinical deterioration (Mukundan et al., 2010). Taken together, these observations would argue against a direct causal connection between AIWG and therapeutic benefit, or at the very least, suggest that weight gain is not an absolute requirement to observe treatment benefits. Similarly, if recovery in schizophrenia patients is directly related to weight gain, then those who spontaneously recover should gain weight, which was equivocal in the control or placebo treated groups examined here (Holden and Holden, 1970; Ascher-Svanum et al., 2005b; Procyshyn et al., 2007; Kemp et al., 2013).
However, it is not unreasonable to hypothesize that other metabolic pathways both directly, and indirectly associated with weight gained on antipsychotic medications may have specific causal mechanisms with respect to improvements in psychopathology. Hypothetically, some of these pathways may be associated by proxy to weight gain, and explain why AIWG on its own in relation to clinically significant improvements psychopathology is not consistently replicated across studies. For example, antipsychotic-induced glucose dysregulation is well-established in rodent and human models to occur independently to AIWG through “direct” molecular pathways (Houseknecht et al., 2007; Sacher et al., 2008; Smith et al., 2008; Vidarsdottir et al., 2010; Albaugh et al., 2011; Roerig et al., 2011; Hahn et al., 2013; Wu et al., 2014). Moreover, schizophrenia is a heterogeneous disorder, and it may be that unknown, genetic predisposing factors determine which subset of patients may, for example, rely on pathways overlapping with AIWG (or other antipsychotic-induced metabolic effects) for treatment response.
AIWG: A Proxy for Other Metabolic Pathways Mediating Antipsychotic-Response?
Intriguingly, insulin receptors are expressed in many brain areas and play a role in neuronal growth and synaptic plasticity (Chiu et al., 2008). Abnormalities in brain insulin signaling and reduced brain expression of insulin receptors are reported in schizophrenia (Zhao et al., 2006), and antipsychotics may also impact these pathways (Girgis et al., 2008). Animal work suggests in turn that insulin can activate receptors in the brain inhibiting dopamine synthesis and release in areas implicated in schizophrenia psychopathology, such as the striatum (Liu et al., 2013). Meanwhile, there is evidence from cross-sectional studies to suggest that hyperinsulinemia (associated with peripheral insulin resistance) is linked with reductions in positive and negative symptoms in schizophrenia patients (Fan et al., 2006; Kirkpatrick et al., 2009; Chen et al., 2013; Zhang et al., 2015). In healthy controls treated with antipsychotics, there is evidence to suggest that OLZ increases serum insulin levels and simultaneously induces peripheral insulin resistance, even prior to any weight gain (Hardy et al., 2007; Teff et al., 2013). Interestingly, it has been demonstrated that peripheral insulin resistance precedes central resistance (Brennan, 1987; Banks et al., 2012).
Thus, high insulin levels may be beneficial to the brain early on in the context of hyperinsulinemia and peripheral insulin resistance. Moreover, although weight gain may cause insulin resistance and hyperinsulinemia, hyperinsulinemia can also drive weight gain (Heller, 2004). This could also offer an interesting speculative explanation as to why OLZ and CLZ, two drugs with the most pronounced effects on glucose homeostasis, are most frequently reported to show associations between therapeutic benefit and AIWG, and furthermore demonstrate this association most consistently early on in treatment. Although more evidence is required, the two studies included in this review examining insulin levels found that increases in insulin concentrations with antipsychotic treatment were correlated with clinical improvement. Interestingly, one of these investigations found the relationship only in patients treated with OLZ, but not risperidone (Konarzewska et al., 2013). Overall, the current evidence may point to insulin dysregulation as a potential mechanism through which antipsychotics, in particular OLZ and CLZ, are both metabolically and therapeutically active.
Clinical Implications
As alluded to in earlier sections, confirmation of a true association between AIWG (or other related metabolic risk factors) and therapeutic response in schizophrenia would have important clinical implications. If a degree of metabolic dysregulation is necessary for therapeutic effects in a subset of patients, this may mean that as clinicians we may have to accept that a certain trade-off between cardiovascular health and mental health is inevitable. By the same token, an early and rapid onset of metabolic changes could potentially be used as a marker of good clinical response. Identification of specific metabolic pathways with overlap to treatment response may be exploited to develop more efficacious treatments.
Despite these potential implications, the available literature examining the association between antipsychotic-induced metabolic dysregulation and therapeutic benefit does not allow us to draw firm conclusions as to the clinical significance of what appears to suggest a “statistical,” and somewhat variable association noted mainly between AIWG and treatment response. Thus, given our current state of knowledge, the following observations should be emphasized: (1) AIWG, insulin resistance, and dyslipidemia are considered modifiable, and treatable cardiovascular risk factors; (2) these should be screened for and treated at minimum according to current guidelines (American Diabetes Association, 2004); (3) lifestyle modification and pharmacological intervention trials in this population have demonstrated successful weight loss without clinical deterioration (Tschoner et al., 2007; Bushe et al., 2009; Miller, 2009).
Study Limitations
It is important to acknowledge several limitations which complicate the interpretation of the current literature examining the association between AIWG and therapeutic benefit. Most available studies are retrospective and did not set out a priori to look for an association between metabolic changes and therapeutic benefit. Furthermore, the magnitude of AIWG was not well reported across studies, while it would have been interesting to consider measures such as the 7% increase as cut-off frequently used. Many also did not correct for multiple testing which greatly increases the likelihood of false positives. This may also explain why there was a higher proportion of post-hoc analyses that showed an AIWG-therapeutic benefit association vs. other study types (see Table 2). Similarly, the chance for false positives is elevated in studies with small samples, particularly given that power was often not reported. Finally, the studies were quite heterogeneous as a group which impedes straightforward comparisons.
The methodology of this review has limitations as well. Given the exploratory nature of this review, the lack of higher quality prospective RCTs examining clinically meaningful weight gain/psychopathology change, and the heterogeneity of the studies (design, population demographics, antipsychotics used, illness severity), we chose not to undertake a meta-analytical approach. We also did not control for a publication bias in our sample of studies which may have skewed our results in favor of a positive result (i.e., in favor of an association between weight gain and therapeutic benefit).
Conclusions and Future Work
In conclusion, this review supports an association between AIWG and therapeutic benefit in patients with schizophrenia, but evidence in terms of clinical significance remains sparse. Additionally, this link was weighted toward patients treated with OLZ and CLZ suggesting these medications possess a shared unique mechanism of action that may relate to their metabolic liability. In this regard, we speculate that the unique effects of CLZ and OLZ on insulin dysregulation could possibly indirectly explain the link between AIWG and therapeutic benefit in a subset of patients. Further research should continue to explore the links between therapeutic benefit and metabolic health with emphasis on both pre-clinical work (to examine mechanisms, with special attention on overlapping metabolic and therapeutic pathways in the CNS), and well-designed prospective clinical trials examining metabolic parameters associated, but also occurring independently to AIWG. Evidence from genetic studies examining genes implicated in energy homoeostasis or appetite/satiety regulation and also overlapping with clinical improvement may also provide clues as to shared pathways. More recent results have also pointed to a role of the gut microbiome in the etiology of schizophrenia and in antipsychotic treatment outcomes, which warrants further investigation (Kanji et al., 2017). Together, this complementary approach has the potential to lead to novel approaches to improve our current understanding and treatment of psychopathology in schizophrenia.
Author Contributions
AR and VM summarized studies and drafted the manuscript. AC and IG contributed to drafting and revising the manuscript and enhanced succinctness and clarity. DM and MH contributed clinical and basic expertise in AIWG and therapeutic benefit, overseeing the synthesis of extracted information and manuscript drafting and editing.
Funding
VM receives a doctoral studentship from the Ontario Mental Health Foundation (OMHF) and is a Trainee Fellow with the CIHR Strategic Training in Advanced Genetic Epidemiology at the Dalla Lana School of Public Health at the University of Toronto. AR received a Summer Student Research Program grant from the Mach-Gaensslen Foundation of Canada and matching funds from the University of Toronto to perform this research. He is currently a psychiatry resident at the University of Toronto. DM is supported by the Canadian Institutes of Health Research (CIHR Operating Grant MOP 142192), the National Institutes of Health (R01MH085801) and the Centre for Addiction and Mental Health Foundation (Joanne Murphy Professorship). MH has received funding from the Canadian Institutes of Health Research, the Banting Research Foundation, the Banting and Best Diabetes Centre, the Centre for Addiction and Mental Health (CAMH) Foundation, the Farncombe Family, and the Slaight Family Research Centre.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnins.2017.00741/full#supplementary-material
References
Agid, O., Schulze, L., Arenovich, T., Sajeev, G., McDonald, K., Foussias, G., et al. (2013a). Antipsychotic response in first-episode schizophrenia: efficacy of high doses and switching. Eur. Neuropsychopharmacol. 23, 1017–1022. doi: 10.1016/j.euroneuro.2013.04.010
Agid, O., Siu, C. O., Pappadopulos, E., Vanderburg, D., and Remington, G. (2013b). Early prediction of clinical and functional outcome in schizophrenia. Eur. Neuropsychopharmacol. 23, 842–851. doi: 10.1016/j.euroneuro.2012.10.005
Aichhorn, W., Whitworth, A. B., Weiss, E. M., Hinterhuber, H., and Marksteiner, J. (2007). Neuere Antipsychotika. Unterschiede im Nebenwirkungsprofil bei Frauen und Männern. Nervenarzt 78, 45-52. doi: 10.1007/s00115-006-2112-0
Albaugh, V. L., Singareddy, R., Mauger, D., and Lynch, C. J. (2011). A double blind, placebo-controlled, randomized crossover study of the acute metabolic effects of olanzapine in healthy volunteers. PLoS ONE 6:e22662. doi: 10.1371/journal.pone.0022662
Allison, D. B., and Casey, D. E. (2001). Antipsychotic-induced weight gain: a review of the literature. J. Clin. Psychiatry 62(Suppl 7), 22-31.
American Diabetes Association, American Psychiatric Association, American Association of Clinical Endocrinologists, and North American Association for the Study of Obesity. (2004). Consensus development conference on antipsychotic drugs and obesity and diabetes. J. Clin. Psychiatry 65, 267–272.
Amdisen, A. (1964). Drug-produced obesity. Experiences with chlorpromazine, perphenazine and clopenthixol. Dan. Med. Bull. 11, 182–189.
Ascher-Svanum, H., Stensland, M. D., Kinon, B. J., and Tollefson, G. D. (2005a). Weight gain as a prognostic indicator of therapeutic improvement during acute treatment of schizophrenia with placebo or active antipsychotic. J. Psychopharmacol. 19, 110–117. doi: 10.1177/0269881105058978
Ascher-Svanum, H., Stensland, M., Zhao, Z., and Kinon, B. J. (2005b). Acute weight gain, gender, and therapeutic response to antipsychotics in the treatment of patients with schizophrenia. BMC Psychiatry 5:3. doi: 10.1186/1471-244X-5-3
Bai, Y. (2006). Association of initial antipsychotic response to clozapine and long-term weight gain. Am. J. Psychiatry 163, 1276-1279. doi: 10.1176/ajp.2006.163.7.1276
Bai, Y.-M., Lin, C.-C., Chen, J.-Y., and Lin, C.-Y. (1999). Weight gain among patients on clozapine. Psychiatr. Serv. 50, 704–705. doi: 10.1176/ps.50.5.704
Bak, M., Fransen, A., Janssen, J., van Os, J., and Drukker, M. (2014). Almost all antipsychotics result in weight gain: a meta-analysis. PLoS ONE 9:e94112. doi: 10.1371/journal.pone.0094112
Banks, W. A., Owen, J. B., and Erickson, M. A. (2012). Insulin in the brain: there and back again. Pharmacol. Ther. 136, 82–93. doi: 10.1016/j.pharmthera.2012.07.006
Basson, B. R., Kinon, B. J., Taylor, C. C., Szymanski, K. A., Gilmore, J. A., and Tollefson, G. D. (2001). Factors influencing acute weight change in patients with Schizophrenia treated with Olanzapine, Haloperidol, or Risperidone. J. Clin. Psychiatry 62, 231–238. doi: 10.4088/JCP.v62n0404
Benarroch, L., Kowalchuk, C., Wilson, V., Teo, C., Guenette, M., Chintoh, A., et al. (2016). Atypical antipsychotics and effects on feeding: from mice to men. Psychopharmacology (Berl) 233, 2629–2653. doi: 10.1007/s00213-016-4324-8
Brandl, E. J., Frydrychowicz, C., Tiwari, A. K., Lett, T. A., Kitzrow, W., Büttner, S., et al. (2012). Association study of polymorphisms in leptin and leptin receptor genes with antipsychotic-induced body weight gain. Prog. Neuropsychopharmacol. Biol. Psychiatry 38, 134–141. doi: 10.1016/j.pnpbp.2012.03.001
Brandl, E. J., Tiwari, A. K., Zai, C. C., Chowdhury, N. I., Lieberman, J. A., Meltzer, H. Y., et al. (2014). No evidence for a role of the peroxisome proliferator-activated receptor gamma (PPARG) and adiponectin (ADIPOQ) genes in antipsychotic-induced weight gain. Psychiatry Res. 219, 255–260. doi: 10.1016/j.psychres.2014.05.031
Brar, J. S., Ganguli, R., Pandina, G., Turkoz, I., Berry, S., and Mahmoud, R. (2005). Effects of behavioral therapy on weight loss in overweight and obese patients with Schizophrenia or Schizoaffective disorder. J. Clin. Psychiatry 66, 205–212. doi: 10.4088/JCP.v66n0208
Brennan, W. A. (1987). “Insulin receptors in brain development,” in Insulin, Insulin-like Growth Factors, and Their Receptors in the Central Nervous System, eds M. K. Raizada, M. I. Phillips, and D. LeRoith (Boston, MA: Springer), 201–208.
Bushe, C. J., Bradley, A. J., Doshi, S., and Karagianis, J. (2009). Changes in weight and metabolic parameters during treatment with antipsychotics and metformin: do the data inform as to potential guideline development? A systematic review of clinical studies. Int. J. Clin. Pract. 63, 1743–1761. doi: 10.1111/j.1742-1241.2009.02224.x
Bustillo, J. R., Buchanan, R. W., Irish, D., and Breier, A. (1996). Differential effect of clozapme on weight: a controlled study. Am. J. Psychiatry 153, 817-819.
Centorrino, F., Wurtman, J. J., Duca, K. A., Fellman, V. H., Fogarty, K. V., Berry, J. M., et al. (2006). Weight loss in overweight patients maintained on atypical antipsychotic agents. Int. J. Obes. 30, 1011–1016. doi: 10.1038/sj.ijo.0803222
Chambers, J. C., Elliott, P., Zabaneh, D., Zhang, W., Li, Y., Froguel, P., et al. (2008). Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat. Genet. 40, 716–718. doi: 10.1038/ng.156
Chen, S., Broqueres-You, D., Yang, G., Wang, Z., Li, Y., Wang, N., et al. (2013). Relationship between insulin resistance, dyslipidaemia and positive symptom in Chinese antipsychotic-naive first-episode patients with schizophrenia. Psychiatry Res. 210, 825–829. doi: 10.1016/j.psychres.2013.08.056
Chiu, C.-C., Chen, K.-P., Liu, H.-C., and Lu, M.-L. (2006). The early effect of Olanzapine and Risperidone on insulin secretion in Atypical-native Schizophrenic patients. J. Clin. Psychopharmacol. 26, 504–507. doi: 10.1097/01.jcp.0000237947.80764.d9
Chiu, S. L., Chen, C. M., and Cline, H. T. (2008). Insulin receptor signaling regulates synapse number, dendritic plasticity, and circuit function in vivo. Neuron 58, 708–719. doi: 10.1016/j.neuron.2008.04.014
Chowdhury, N. I., Tiwari, A. K., Souza, R. P., Zai, C. C., Shaikh, S. A., Chen, S., et al. (2012). Genetic association study between antipsychotic-induced weight gain and the melanocortin-4 receptor gene. Pharmacogenomics J. 13, 272–279. doi: 10.1038/tpj.2011.66
Correll, C. U. (2009). Cardiometabolic risk of second-generation Antipsychotic medications during first-time use in children and Adolescents. JAMA 302, 1765-1773. doi: 10.1001/jama.2009.1549
Cuerda, C., Velasco, C., Merchán-Naranjo, J., García-Peris, P., and Arango, C. (2013). The effects of second-generation antipsychotics on food intake, resting energy expenditure and physical activity. Eur. J. Clin. Nutr. 68, 146–152. doi: 10.1038/ejcn.2013.253
Czobor, P., Volavka, J., Sheitman, B., Lindenmayer, J.-P., Citrome, L., McEvoy, J., et al. (2002). Antipsychotic-induced weight gain and Therapeutic response: a differential association. J. Clin. Psychopharmacol. 22, 244–251. doi: 10.1097/00004714-200206000-00003
Fan, X., Liu, E., Pristach, C., Goff, D. C., and Henderson, D. C. (2006). Higher fasting serum insulin levels are associated with a better psychopathology profile in acutely ill non-diabetic inpatients with schizophrenia. Schizophr. Res. 86, 30–35. doi: 10.1016/j.schres.2006.04.010
Fernandez-Egea, E., García-Rizo, C., Miller, B., Parellada, E., Justicia, A., Bernardo, M., et al. (2011). Testosterone in newly diagnosed, Antipsychotic-naive men with nonaffective Psychosis. Psychosom. Med. 73, 643–647. doi: 10.1097/PSY.0b013e318230343f
Friedman, J. I., Wallenstein, S., Moshier, E., Parrella, M., White, L., Bowler, S., et al. (2010). The effects of hypertension and body mass index on cognition in Schizophrenia. Am. J. Psychiatry 167, 1232–1239. doi: 10.1176/appi.ajp.2010.09091328
Garyfallos, G., Dimelis, D., Kouniakis, P., Sidiropoulos, N., Karastergiou, A., Lavrentiadis, G., et al. (2003). Olanzapine versus risperidone: weight gain and elevation of serum triglyceride levels. Eur. Psychiatry 18, 320–321. doi: 10.1016/j.eurpsy.2003.06.002
Gebhardt, S., Haberhausen, M., Heinzel-Gutenbrunner, M., Gebhardt, N., Remschmidt, H., Krieg, J.-C., et al. (2009). Antipsychotic-induced body weight gain: predictors and a systematic categorization of the long-term weight course. J. Psychiatr. Res. 43, 620–626. doi: 10.1016/j.jpsychires.2008.11.001
Gilles, M., Wilke, A., Kopf, D., Nonell, A., Lehnert, H., and Deuschle, M. (2005). Antagonism of the serotonin (5-HT)-2 receptor and insulin sensitivity: implications for atypical Antipsychotics. Psychosom. Med. 67, 748–751. doi: 10.1097/01.psy.0000174994.91245.34
Girgis, R. R., Javitch, J. A., and Lieberman, J. A. (2008). Antipsychotic drug mechanisms: links between therapeutic effects, metabolic side effects and the insulin signaling pathway. Mol. Psychiatry 13, 918–929. doi: 10.1038/mp.2008.40
Gordon, H. L., and Groth, C. (1964). Weight change during and after hospital treatment. Arch. Gen. Psychiatry 10, 187–191. doi: 10.1001/archpsyc.1964.01720200083012
Gregoor, J. G., van der Weide, J., Mulder, H., Cohen, D., van Megen, H. J., Egberts, A. C. G., et al. (2009). Polymorphisms of the LEP- and LEPR gene and obesity in patients using Antipsychotic medication. J. Clin. Psychopharmacol. 29, 21–25. doi: 10.1097/JCP.0b013e31819359be
Guenette, M. D., Giacca, A., Hahn, M., Teo, C., Lam, L., Chintoh, A., et al. (2013). Atypical antipsychotics and effects of adrenergic and serotonergic receptor binding on insulin secretion in-vivo: an animal model. Schizophr. Res. 146, 162–169. doi: 10.1016/j.schres.2013.02.023
Gupta, S., Droney, T., Al-Samarrai, S., Keller, P., and Frank, B. (1999). Olanzapine: weight gain and therapeutic efficacy. J. Clin. Psychopharmacol. 19, 273–275. doi: 10.1097/00004714-199906000-00014
Hahn, M., Chintoh, A., Giacca, A., Xu, L., Lam, L., Mann, S., et al. (2011). Atypical antipsychotics and effects of muscarinic, serotonergic, dopaminergic and histaminergic receptor binding on insulin secretion in vivo: an animal model. Schizophr. Res. 131, 90–95. doi: 10.1016/j.schres.2011.06.004
Hahn, M. K., Wolever, T. M., Arenovich, T., Teo, C., Giacca, A., Powell, V., et al. (2013). Acute effects of single-dose olanzapine on metabolic, endocrine, and inflammatory markers in healthy controls. J. Clin. Psychopharmacol. 33, 740–746. doi: 10.1097/JCP.0b013e31829e8333
Hardy, T. A., Meyers, A. L., Yu, J., Shankar, S. S., Steinberg, H. O., and Porksen, N. K. (2007). Acute insulin response and β-cell compensation in normal subjects treated with olanzapine or risperidone for 2 weeks. Diabetes Care 30, 157–158. doi: 10.2337/dc06-1063
Heller, S. (2004). Weight gain during insulin therapy in patients with type 2 diabetes mellitus. Diabetes Res. Clin. Pract. 65, S23–S27. doi: 10.1016/j.diabres.2004.07.005
Hennekens, C. H., and Newcomer, J. W. (2007). Series introduction and cardiovascular disease in patients with schizophrenia. J. Clin. Psychiatry 68:e12. doi: 10.4088/JCP.0507e12
Hermes, E., Nasrallah, H., Davis, V., Meyer, J., McEvoy, J., Goff, D., et al. (2011). The association between weight change and symptom reduction in the CATIE schizophrenia trial. Schizophr. Res. 128, 166–170. doi: 10.1016/j.schres.2011.01.022
Holden, J. M., and Holden, U. P. (1970). Weight changes with Schizophrenic Psychosis and Psychotropic drug therapy. Psychosomatics 11, 551–561. doi: 10.1016/S0033-3182(70)71576-4
Houseknecht, K. L., Robertson, A. S., Zavadoski, W., Gibbs, E. M., Johnson, D. E., and Rollema, H. (2007). Acute effects of atypical antipsychotics on whole-body insulin resistance in rats: implications for adverse metabolic effects. Neuropsychopharmacology 32, 289-297. doi: 10.1038/sj.npp.1301209
Huang, E., Maciukiewicz, M., Zai, C. C., Tiwari, A. K., Li, J., Potkin, S. G., et al. (2016). Preliminary evidence for association of genome-wide significant DRD2 schizophrenia risk variant with clozapine response. Pharmacogenomics 17, 103–109. doi: 10.2217/pgs.15.155
Hummer, M., Kemmler, G., Kurz, M., Kurzthaler, I., Oberbauer, H., and Fleischhacker, W. W. (1995). Weight gain induced by clozapine. Eur. Neuropsychopharmacol. 5, 437–440. doi: 10.1016/0924-977X(95)80001-I
Hung, G. C., Kuo, C.-J., Huang, M.-C., Kao, L.-H., and Chen, Y.-Y. (2010). Sex differences in the association of weight gain and risperidone efficacy among schizophrenic patients. Prog. Neuropsychopharmacol. Biol. Psychiatry 34, 1523–1524. doi: 10.1016/j.pnpbp.2010.08.002
Jalenques, I., Tauveron, I., Albuisson, E., Audy, V., Fleury-Duhamel, N., and Coudert, A.-J. (1996). Weight gain as a predictor of long term clozapine efficacy. Clin. Drug Investig. 12, 16–25. doi: 10.2165/00044011-199612010-00003
Jassim, G., Fernø, J., Theisen, F. M., Haberhausen, M., Christoforou, A., Håvik, B., et al. (2010). Association study of energy homeostasis genes and antipsychotic-induced weight gain in patients with Schizophrenia. Pharmacopsychiatry. 44, 15-20. doi: 10.1055/s-0030-1263174
Kalinowsky, L. B. (1948). Variations of body weight and menstruation in mental illness and their relation to shock treatmentS*. J. Nerv. Ment. Dis. 108, 423–430. doi: 10.1097/00005053-194810850-00007
Kane, J., Honigfeld, G., Singer, J., and Meltzer, H. (1988). Clozapine for the treatment-resistant Schizophrenic: a double-blind comparison with Chlorpromazine. Arch. Gen. Psychiatry 45, 789–796. doi: 10.1001/archpsyc.1988.01800330013001
Kanji, S., Fonseka, T. M., Marshe, V. S., Sriretnakumar, V., Hahn, M. K., and Müller, D. J. (2017). The microbiome-gut-brain axis: implications for schizophrenia and antipsychotic induced weight gain. Eur. Arch. Psychiatry Clin. Neurosci. doi: 10.1007/s00406-017-0820-z. [Epub ahead of print].
Kemp, D. E., Correll, C. U., Tohen, M., Delbello, M. P., Ganocy, S. J., Findling, R. L., et al. (2013). Associations among obesity, acute weight gain, and response to treatment with Olanzapine in Adolescent Schizophrenia. J. Child Adolesc. Psychopharmacol. 23, 522–530. doi: 10.1089/cap.2012.0099
Kinon, B. J., Kaiser, C. J., Ahmed, S., Rotelli, M. D., and Kollack-Walker, S. (2005). Association between early and rapid weight gain and change in weight over one year of Olanzapine therapy in patients with Schizophrenia and related disorders. J. Clin. Psychopharmacol. 25, 255–258. doi: 10.1097/01.jcp.0000161501.65890.22
Kirkpatrick, B., Fernandez-Egea, E., Garcia-Rizo, C., and Bernardo, M. (2009). Differences in glucose tolerance between deficit and nondeficit schizophrenia. Schizophr. Res. 107, 122–127. doi: 10.1016/j.schres.2008.09.023
Konarzewska, B., Waszkiewicz, N., Galinska, B., and Szulc, A. (2013). Fasting insulin serum levels and psychopathology profiles in male schizophrenic inpatients treated with olanzapine or risperidone. Neuro. Endocrinol. Lett. 34, 322–328.
Kredentser, M. S., Martens, P. J., Chochinov, H. M., and Prior, H. J. (2014). Cause and rate of death in people with Schizophrenia across the lifespan. J. Clin. Psychiatry 75, 154–161. doi: 10.4088/JCP.13m08711
LaCrosse, A., and Olive, M. (2013). Neuropeptide Systems and Schizophrenia. CNS Neurol. Disord. Drug Targets 12, 619–632. doi: 10.2174/1871527311312050010
Lamberti, J. S., Bellnier, T., and Schwarzkopf, S. B. (1992). Weight gain among schizophrenic patients treated with clozapine. Am. J. Psychiatry 149, 689–690. doi: 10.1176/ajp.149.5.689
Lane, H.-Y., Chang, Y.-C., Cheng, Y.-C., Liu, G.-C., Lin, X.-R., and Chang, W.-H. (2003). Effects of patient demographics, risperidone dosage, and clinical outcome on body weight in acutely exacerbated Schizophrenia. J. Clin. Psychiatry 64, 316–320. doi: 10.4088/JCP.v64n0314
Laursen, T. M., Wahlbeck, K., Hällgren, J., Westman, J., Ösby, U., Alinaghizadeh, H., et al. (2013). Life expectancy and death by diseases of the circulatory system in patients with bipolar disorder or schizophrenia in the nordic countries. PLoS ONE 8:e67133. doi: 10.1371/journal.pone.0067133
Leadbetter, R., Shutty, M., Pavalonis, D., Vieweg, V., Higgins, P., and Downs, M. (1992). Clozapine-induced weight gain: prevalence and clinical relevance. Am. J. Psychiatry 149, 68–72. doi: 10.1176/ajp.149.1.68
Le Hellard, S., Theisen, F. M., Haberhausen, M., Raeder, M. B., Fernø, J., Gebhardt, S., et al. (2008). Association between the insulin-induced gene 2 (INSIG2) and weight gain in a German sample of antipsychotic-treated schizophrenic patients: perturbation of SREBP-controlled lipogenesis in drug-related metabolic adverse effects? Mol. Psychiatry 14, 308–317. doi: 10.1038/sj.mp.4002133
Lett, T. A., Wallace, T. J., Chowdhury, N. I., Tiwari, A. K., Kennedy, J. L., and Müller, D. J. (2011). Pharmacogenetics of antipsychotic-induced weight gain: review and clinical implications. Mol. Psychiatry 17, 242–266. doi: 10.1038/mp.2011.109
Lieberman, J. A., Stroup, T. S., McEvoy, J. P., Swartz, M. S., Rosenheck, R. A., Perkins, D. O., et al. (2005). Effectiveness of Antipsychotic drugs in Patients with chronic Schizophrenia. N. Engl. J. Med. 353, 1209–1223. doi: 10.1056/NEJMoa051688
Lindenmayer, J. P., Khan, A., Kaushik, S., Thanju, A., Praveen, R., Hoffman, L., et al. (2012). Relationship between metabolic syndrome and cognition in patients with schizophrenia. Schizophr. Res. 142, 171–176. doi: 10.1016/j.schres.2012.09.019
Liu, S., Labouebe, G., Karunakaran, S., Clee, S. M., and Borgland, S. L. (2013). Effect of insulin on excitatory synaptic transmission onto dopamine neurons of the ventral tegmental area in a mouse model of hyperinsulinemia. Nutr. Diabetes 3:e97. doi: 10.1038/nutd.2013.38
Loos, R. J., Lindgren, C. M., Li, S., Wheeler, E., Zhao, J. H., Prokopenko, I., et al. (2008). Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat. Genet. 40, 768–775. doi: 10.1038/ng.140
Maayan, L., Vakhrusheva, J., and Correll, C. U. (2010). Effectiveness of medications used to Attenuate Antipsychotic-related weight gain and Metabolic Abnormalities: a systematic review and meta-analysis. Neuropsychopharmacology 35, 1520–1530. doi: 10.1038/npp.2010.21
Mackin, P., Watkinson, H. M., and Young, A. H. (2005). Prevalence of obesity, glucose homeostasis disorders and metabolic syndrome in psychiatric patients taking typical or atypical antipsychotic drugs: a cross-sectional study. Diabetologia 48, 215–221. doi: 10.1007/s00125-004-1641-y
Malhotra, A. K. (2012). Association between common variants near the melanocortin 4 receptor gene and severe antipsychotic drug–induced weight gain. Arch. Gen. Psychiatry 69, 904-912. doi: 10.1001/archgenpsychiatry.2012.191
McEvoy, J. P., Lieberman, J. A., Stroup, T. S., Davis, S. M., Meltzer, H. Y., Rosenheck, R. A., et al. (2006). Effectiveness of clozapine versus olanzapine, quetiapine, and risperidone in patients with chronic schizophrenia who did not respond to prior atypical antipsychotic treatment. Am. J. Psychiatry 163, 600–610. doi: 10.1176/ajp.2006.163.4.600
Meltzer, H. Y., Perry, E., and Jayathilake, K. (2003). Clozapine-induced weight gain predicts improvement in psychopathology. Schizophr. Res. 59, 19–27. doi: 10.1016/S0920-9964(01)00326-7
Miller, L. J. (2009). Management of atypical Antipsychotic drug-induced weight gain: focus on metformin. Pharmacother. J. Hum. Pharmacol. Drug Ther. 29, 725–735. doi: 10.1592/phco.29.6.725
Mueller, D. (2011). Role of 5-HT2C receptor gene variants in antipsychotic-induced weight gain. Pharmacogenomics Pers. Med. 4, 83-93. doi: 10.2147/PGPM.S11866
Mukundan, A., Faulkner, G., Cohn, T., and Remington, G. (2010). Antipsychotic switching for people with schizophrenia who have neuroleptic-induced weight or metabolic problems. Cochrane Database Syst. Rev. 8:CD006629. doi: 10.1002/14651858.CD006629.pub2
Müller, D. J., Klempan, T. A., De Luca, V., Sicard, T., Volavka, J., Czobor, P., et al. (2005). The SNAP-25 gene may be associated with clinical response and weight gain in antipsychotic treatment of schizophrenia. Neurosci. Lett. 379, 81–89. doi: 10.1016/j.neulet.2004.12.037
Nasrallah, H. (2003). A review of the effect of atypical antipsychotics on weight. Psychoneuroendocrinology 28, 83–96. doi: 10.1016/S0306-4530(02)00114-2
Nasrallah, H. A., and Newcomer, J. W. (2004). Atypical Antipsychotics and Metabolic Dysregulation. J. Clin. Psychopharmacol. 24, S7–S14. doi: 10.1097/01.jcp.0000142282.62336.e9
Nonogaki, K., Strack, A. M., Dallman, M. F., and Tecott, L. H. (1998). Leptin-independent hyperphagia and type 2 diabetes in mice with a mutated serotonin 5-HT2C receptor gene. Nat. Med. 4, 1152–1156. doi: 10.1038/2647
Nurjono, M., Neelamekam, S., and Lee, J. (2014). Serum leptin and its relationship with psychopathology in schizophrenia. Psychoneuroendocrinology 50, 149–154. doi: 10.1016/j.psyneuen.2014.08.017
Oriot, P., Feys, J.-L., Mertens de Wilmars, S., Misson, A., Ayache, L., Fagnart, O., et al. (2008). Insulin sensitivity, adjusted β-cell function and adiponectinaemia among lean drug-naive schizophrenic patients treated with atypical antipsychotic drugs: a nine-month prospective study. Diabetes Metab. 34, 490–496. doi: 10.1016/j.diabet.2008.03.003
Patel, J. K., Buckley, P. F., Woolson, S., Hamer, R. M., McEvoy, J. P., Perkins, D. O., et al. (2009). Metabolic profiles of second-generation antipsychotics in early psychosis: findings from the CAFE study. Schizophr. Res. 111, 9–16. doi: 10.1016/j.schres.2009.03.025
Perez-Iglesias, R., Mata, I., Amado, J. A., Berja, A., Garcia-Unzueta, M. T., Martínez García, O., et al. (2010). Effect of FTO, SH2B1, LEP, and LEPR Polymorphisms on weight gain associated with Antipsychotic treatment. J. Clin. Psychopharmacol. 30, 661–666. doi: 10.1097/JCP.0b013e3181fae248
Planansky, K. (1958). Changes in weight in patients receiving a “tranquilizing” drug. Psychiatr. Q. 32, 289–303. doi: 10.1007/BF01561635
Planansky, K., and Heilizer, F. (1959). Weight changes in relation to the characteristics of patients on chlorpromazine. J. Clin. Exp. Psychopathol. 20, 53–57.
Poulin, M.-J., Chaput, J.-P., Simard, V., Vincent, P., Bernier, J., Gauthier, Y., et al. (2007). Management of Antipsychotic-induced weight gain: prospective naturalistic study of the effectiveness of a supervised exercise programme. Aust. N. Z. J. Psychiatry 41, 980–989. doi: 10.1080/00048670701689428
Poyurovsky, M., Pashinian, A., Gil-Ad, I., Maayan, R., Schneidman, M., Fuchs, C., et al. (2002). Olanzapine-induced weight gain in patients with first-episode Schizophrenia: a double-blind, Placebo-controlled study of Fluoxetine addition. Am. J. Psychiatry 159, 1058–1060. doi: 10.1176/appi.ajp.159.6.1058
Procyshyn, R. M., Wasan, K. M., Thornton, A. E., Barr, A. M., Chen, E. Y., Pomarol-Clotet, E., et al. (2007). Changes in serum lipids, independent of weight, are associated with changes in symptoms during long-term clozapine treatment. J. Psychiatry Neurosci. 32, 331–338.
Ramsey, T. L., and Brennan, M. D. (2014). Glucagon-like peptide 1 receptor (GLP1R) haplotypes correlate with altered response to multiple antipsychotics in the CATIE trial. Schizophr. Res. 160, 73–79. doi: 10.1016/j.schres.2014.09.038
Ratzoni, G., Gothelf, D., Brand-Gothelf, A., Reidman, J., Kikinzon, L., Gal, G., et al. (2002). Weight gain associated with olanzapine and risperidone in adolescent patients: a comparative prospective study. J. Am. Acad. Child Adolesc. Psychiatry 41, 337–343. doi: 10.1097/00004583-200203000-00014
Reynolds, G. P., Yevtushenko, O. O., Gordon, S., Arranz, B., San, L., and Cooper, S. J. (2012). The obesity risk gene FTO influences body mass in chronic schizophrenia but not initial antipsychotic drug-induced weight gain in first-episode patients. Int. J. Neuropsychopharmacol. 16, 1421–1425. doi: 10.1017/S1461145712001435
Roerig, J. L., Steffen, K. J., and Mitchell, J. E. (2011). Atypical Antipsychotic-Induced Weight Gain. CNS Drugs 25, 1035–1059. doi: 10.2165/11596300-000000000-00000
Sacher, J., Mossaheb, N., Spindelegger, C., Klein, N., Geiss-Granadia, T., Sauermann, R., et al. (2008). Effects of olanzapine and ziprasidone on glucose tolerance in healthy volunteers. Neuropsychopharmacology 33, 1633-1641. doi: 10.1038/sj.npp.1301541
Santini, F., Maffei, M., Pelosini, C., Salvetti, G., Scartabelli, G., and Pinchera, A. (2009). Chapter 4 melanocortin-4 receptor mutations in obesity. Adv. Clin. Chem. 48, 95–109. doi: 10.1016/S0065-2423(09)48004-1
Sato, I. (2005). Insulin Inhibits Neuropeptide Y Gene Expression in the Arcuate Nucleus through GABAergic Systems. J. Neurosci. 25, 8657–8664. doi: 10.1523/JNEUROSCI.2739-05.2005
Savoy, Y. E., Ashton, M. A., Miller, M. W., Nedza, F. M., Spracklin, D. K., Hawthorn, M. H., et al. (2008). differential effects of various typical and atypical antipsychotics on plasma glucose and insulin levels in the mouse: evidence for the involvement of sympathetic regulation. Schizophr. Bull. 36, 410–418. doi: 10.1093/schbul/sbn104
Schwarz, E., Guest, P. C., Steiner, J., Bogerts, B., and Bahn, S. (2012). Identification of blood-based molecular signatures for prediction of response and relapse in schizophrenia patients. Transl. Psychiatry 2:e82. doi: 10.1038/tp.2012.3
Shams, T. A., and Müller, D. J. (2014). Antipsychotic Induced weight gain: genetics, epigenetics, and biomarkers reviewed. Curr. Psychiatry Rep. 16:473. doi: 10.1007/s11920-014-0473-9
Sharma, E., Rao, N. P., Venkatasubramanian, G., Behere, R. V., Varambally, S., Sivakumar, P. T., et al. (2011). Relation between weight gain and clinical improvement: Is there a metabolic threshold for second generation antipsychotics? Psychiatry Res. 186:155. doi: 10.1016/j.psychres.2010.07.012
Shen, J., Ge, W., Zhang, J., Jun Zhu, H., and Fang, Y. (2014). Leptin-2548G/A gene polymorphism in association with antipsychotic-induced weight gain: a meta-analysis study. Psychiatr. Danub. 26, 145-151.
Shing, E. C., Tiwari, A. K., Brandl, E. J., Zai, C. C., Lieberman, J. A., Meltzer, H. Y., et al. (2014). Fat Mass- and Obesity-Associated (FTO) gene and Antipsychotic-induced weight gain: an association study. Neuropsychobiology 69, 59–63. doi: 10.1159/000356231
Singh, M. M., De Dios, L. V., and Kline, N. S. (1970). Weight as a correlate of clinical response to psychotropic drugs. Psychosomatics 11, 562–570. doi: 10.1016/S0033-3182(70)71577-6
Smith, G. C., Chaussade, C., Vickers, M., Jensen, J., and Shepherd, P. R. (2008). Atypical antipsychotic drugs induce derangements in glucose homeostasis by acutely increasing glucagon secretion and hepatic glucose output in the rat. Diabetologia 51, 2309–2317. doi: 10.1007/s00125-008-1152-3
Takayanagi, Y., Cascella, N. G., Santora, D., Gregory, P. E., Sawa, A., and Eaton, W. W. (2013). Relationships between serum leptin level and severity of positive symptoms in schizophrenia. Neurosci. Res. 77, 97–101. doi: 10.1016/j.neures.2013.07.003
Teff, K. L., Rickels, M. R., Grudziak, J., Fuller, C., Nguyen, H.-L., and Rickels, K. (2013). Antipsychotic-induced insulin resistance and postprandial hormonal dysregulation independent of weight gain or psychiatric disease. Diabetes 62, 3232–3240. doi: 10.2337/db13-0430
Tiwari, A. K., Brandl, E. J., Weber, C., Likhodi, O., Zai, C. C., Hahn, M. K., et al. (2013). Association of a functional polymorphism in Neuropeptide y with Antipsychotic-induced weight gain in Schizophrenia patients. J. Clin. Psychopharmacol. 33, 11–17. doi: 10.1097/JCP.0b013e31827d145a
Tiwari, A. K., Zai, C. C., Likhodi, O., Lisker, A., Singh, D., Souza, R. P., et al. (2010). A Common Polymorphism in the Cannabinoid Receptor 1 (CNR1) Gene is Associated with Antipsychotic-Induced Weight Gain in Schizophrenia. Neuropsychopharmacology 35, 1315–1324. doi: 10.1038/npp.2009.235
Tollefson, G. D., Beasley, C. M. Jr., Tran, P. V., Street, J. S., Krueger, J. A., Tamura, R. N., et al. (1997). Olanzapine versus haloperidol in the treatment of schizophrenia and schizoaffective and schizophreniform disorders: results of an international collaborative trial. Am. J. Psychiatry 154, 457–465. doi: 10.1176/ajp.154.4.457
Tschoner, A., Engl, J., Laimer, M., Kaser, S., Rettenbacher, M., Fleischhacker, W. W., et al. (2007). Metabolic side effects of antipsychotic medication. Int. J. Clin. Pract. 61, 1356–1370. doi: 10.1111/j.1742-1241.2007.01416.x
Tulipano, G., Rizzetti, C., Bianchi, I., Fanzani, A., Spano, P., and Cocchi, D. (2007). Clozapine-induced alteration of glucose homeostasis in the rat: the contribution of hypothalamic-pituitary-adrenal axis activation. Neuroendocrinology 85, 61–70. doi: 10.1159/000100981
Umbricht, D., Pollack, S., Lieberman, J., and Kane, J. (1994). Clozapine and weight gain-Association with clinical response and long-term course. Neuropsychopharmacology 11, 288–288. doi: 10.1038/sj.npp.1380224
Venkatasubramanian, G., Chittiprol, S., Neelakantachar, N., Shetty, T. K., and Gangadhar, B. N. (2010). A longitudinal study on the impact of Antipsychotic treatment on Serum Leptin in Schizophrenia. Clin. Neuropharmacol. 33, 288–292. doi: 10.1097/WNF.0b013e3181fa2a6f
Vidarsdottir, S., Roelfsema, F., Streefland, T., Holst, J. J., Rehfeld, J. F., and Pijl, H. (2010). Short-term treatment with Olanzapine does not modulate gut hormone secretion: olanzapine disintegrating versus standard tablets. Eur. J. Endocrinol. 162, 75–83. doi: 10.1530/EJE-09-0433
Volavka, J., Czobor, P., Sheitman, B., Lindenmayer, J.-P., Citrome, L., McEvoy, J. P., et al. (2002). Clozapine, Olanzapine, Risperidone, and Haloperidol in the Treatment of Patients with Chronic Schizophrenia and Schizoaffective Disorder. Am. J. Psychiatry 159, 255–262. doi: 10.1176/appi.ajp.159.2.255
Wetterling, T., and Müssigbrodt, H. E. (1999). Weight gain: side effect of atypical neuroleptics? J. Clin. Psychopharmacol. 19, 316–321. doi: 10.1097/00004714-199908000-00006
Wirshing, D. A., Spellberg, B. J., Erhart, S. M., Marder, S. R., and Wirshing, W. C. (1998). Novel antipsychotics and new onset diabetes. Biol. Psychiatry 44, 778–783. doi: 10.1016/S0006-3223(98)00100-0
Wu, C., Yuen, J., Boyda, H. N., Procyshyn, R. M., Wang, C. K., Asiri, Y. I., et al. (2014). An evaluation of the effects of the novel antipsychotic drug lurasidone on glucose tolerance and insulin resistance: a comparison with olanzapine. PloS ONE 9:e107116. doi: 10.1371/journal.pone.0107116
Yadav, A., Kataria, M. A., Saini, V., and Yadav, A. (2013). Role of leptin and adiponectin in insulin resistance. Clin. Chim. Acta 417, 80–84. doi: 10.1016/j.cca.2012.12.007
Yang, Y., Li, W., Zhao, J., Zhang, H., Song, X., Xiao, B., et al. (2012). Association between Ghrelin gene (GHRL) polymorphisms and clinical response to atypical antipsychotic drugs in Han Chinese schizophrenia patients. Behav. Brain Funct. 8:11. doi: 10.1186/1744-9081-8-11
Yilmaz, Z., Davis, C., Loxton, N. J., Kaplan, A. S., Levitan, R. D., Carter, J. C., et al. (2014). Association between MC4R rs17782313 polymorphism and overeating behaviors. Int. J. Obes. 39, 114–120. doi: 10.1038/ijo.2014.79
Zhang, J.-P., Lencz, T., and Malhotra, A. K. (2010). D2Receptor genetic variation and clinical response to antipsychotic drug treatment: a meta-analysis. Am. J. Psychiatry 167, 763–772. doi: 10.1176/appi.ajp.2009.09040598
Zhang, J.-P., Robinson, D. G., Gallego, J. A., John, M., Yu, J., Addington, J., et al. (2015). Association of a Schizophrenia Risk variant at the DRD2 locus with Antipsychotic treatment response in First-Episode Psychosis. Schizophr. Bull. 41, 1248–1255. doi: 10.1093/schbul/sbv116
Zhang, Z.-J., Yao, Z.-J., Liu, W., Fang, Q., and Reynolds, G. P. (2003). Effects of antipsychotics on fat deposition and changes in leptin and insulin levels: Magnetic resonance imaging study of previously untreated people with schizophrenia. Br. J. Psychiatry 184, 58–62.
Zhang, Z.-J., Yao, Z., Liu, W. E. N., Fang, Q. U. N., and Reynolds, G. P. (2004). Effects of antipsychotics on fat deposition and changes in leptin and insulin levels. Br. J. Psychiatry 184, 58–62.
Zhao, Z., Ksiezak-Reding, H., Riggio, S., Haroutunian, V., and Pasinetti, G. M. (2006). Insulin receptor deficits in schizophrenia and in cellular and animal models of insulin receptor dysfunction. Schizophr. Res. 84, 1–14. doi: 10.1016/j.schres.2006.02.009
Zillich, A. J., Garg, J., Basu, S., Bakris, G. L., and Carter, B. L. (2006). Thiazide Diuretics, Potassium, and the Development of diabetes: a quantitative review. Hypertension 48, 219–224. doi: 10.1161/01.HYP.0000231552.10054.aa
Keywords: antipsychotics, metabolic dysregulation, antipsychotic-induced weight gain (AIWG), treatment outcome, weight loss
Systematic Review Registration Number: 82453 (PROSPERO).
Citation: Raben AT, Marshe VS, Chintoh A, Gorbovskaya I, Müller DJ and Hahn MK (2018) The Complex Relationship between Antipsychotic-Induced Weight Gain and Therapeutic Benefits: A Systematic Review and Implications for Treatment. Front. Neurosci. 11:741. doi: 10.3389/fnins.2017.00741
Received: 30 September 2017; Accepted: 20 December 2017;
Published: 22 January 2018.
Edited by:
Chao Deng, University of Wollongong, AustraliaCopyright © 2018 Raben, Marshe, Chintoh, Gorbovskaya, Müller and Hahn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Margaret K. Hahn, margaret.hahn@camh.ca
Daniel J. Müller, daniel.mueller@camh.ca
†Shared first authorship.
‡Shared senior authors.