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Insulin-like growth factor-1: a possible marker for emotional and cognitive disturbances, and treatment effectiveness in major depressive disorder

Abstract

Depression and cognitive dysfunction share a common neuropathological platform. Abnormal neural plasticity in the frontolimbic circuits has been linked to changes in the expression of neurotrophic factors, including IGF-1. These changes may result in clinical abnormalities observed over the course of major depressive disorder (MDD), including cognitive dysfunction. The present review aimed to summarize evidence regarding abnormalities of peripheral IGF-1 in MDD patients and assess a marker and predictive role of the neurotrophin for emotional and cognitive disturbances, and treatment effectiveness. A literature search of the PubMed database was conducted for studies, in which peripheral IGF-1 levels were evaluated. Our analysis revealed four main findings: (1) IGF-1 levels in MDD patients mismatch across the studies, which may arise from various factors, e.g., age, gender, the course of the disease, presence of cognitive impairment, ongoing therapy, or general health conditions; (2) the initial peripheral IGF-1 levels may predict the occurrence of depression in future; (3) peripheral IGF-1 levels may reflect cognitive dysfunction, although the data is limited; (4) it is difficult to evaluate the influence of treatment on IGF-1 levels as there is discrepancy of this growth factor among the studies at baseline, although most of them showed a decrease in IGF-1 levels after treatment.

Background

Major depressive disorder (MDD) is one of the most prevalent psychiatric diseases [1, 2]. MDD is not only characterized by profound dysregulation of affect and mood, but is also associated with other abnormalities. In recent years, cognitive impairment in major depression has been widely reported. Cognitive dysfunction is a discrete clinical domain [3] subserving functional impairment associated with MDD [4, 5]. Several neuropsychological disturbances, including executive function, attention, memory, processing speed, and psychomotor skills, were found to be during the symptomatic stage of MDD as well as its remission [6,7,8,9].

Depression and cognitive dysfunction might share a common neuropathological platform [10]. Neurodegeneration might significantly contribute to the pathogenesis of MDD linked to cognitive complaints. According to this, patients with MDD demonstrate decreased brain volumes in the areas implicated in emotional regulation and cognition, neuronal, and glial death as well as activation of various pathways, which can further to cell death [11]. Existing literature has been focused on putative biological pathways related to cognitive dysfunction in MDD [12]. Recent studies revealed that disturbances in synaptic plasticity, i.e., axon branching, dendritogenesis, and neurogenesis in the prefrontal cortex, hippocampus, amygdala, and ventral striatum may be an important factor in the pathogenesis of MDD and cognitive dysfunction due to MDD [13,14,15,16,17]. Inflammation may also be a contributing factor, as levels of inflammatory cytokines were found to be higher in the prefrontal cortex of patients suffering from depression [11] leading to increased neurodegeneration [18].

Abnormal neural plasticity in the frontolimbic circuits, responsible for emotional and cognitive processing, has been related to changes in the expression of neurotrophic factors, including brain-derived neurotrophic factor (BDNF), neurotrophin-3 (NT-3), neurotrophin-4/5 (NT-4/5), nerve growth factor (NGF), and insulin-like growth factor (IGF-1) [17, 19].

Neurotrophic factors or neurotrophins are a family of proteins, involved in neuronal growth, differentiation, maturation, and survival [17, 20]. They regulate a broad spectrum of brain processes and the equilibrium between neuroregeneration and neurodegeneration [17]. Moreover, these polypeptides might affect synaptic transmission, modulate the activity of various types of neurons or affect memory formation [17].

Insulin-like growth factor (IGF-1): a brief neurobiological overview

A fundamental analysis of IGF-1 neurobiology has been done earlier by Szczęsny et al. [17]. We have reflected mainly those neurobiological aspects of this neurotrophin, which relate to the mechanisms of development of depression and cognitive dysfunction due to depression.

IGF-1, also called somatomedin C, is a protein, which has a molecular weight of 7.5 kDa. It consists of 70 amino acids and shares 40% identity with insulin [21]. IGF-1 along with IGF-2, insulin, and their respective receptors: IGF-1R, mannose-6 phosphate/IGF-2 (M6P/IGF-2R), IR, hybrid receptor (IR/IGF-1R), and a group of six binding proteins (IGFBP-1–6) compose the Insulin-like Growth Factor family [17, 22].

IGF-1 is synthesized by different organs and its expression is controlled by growth hormone [17]. Liver is the main site of IGF-1 synthesis [22]. In the circulation, over 99% of IGF-1 is bound to IGFBP-1-6 [17]. Although IGF-1 can cross the blood–brain barrier via transcytosis [23], many studies have reported that IGF-1 is also expressed by different cells in the central nervous system [17, 24].

The main function of IGF-1 in the brain is to control cell growth, differentiation, maturation (through mitosis stimulation and DNA synthesis), and metabolic processes (i.e., glucose uptake and protein production) [17]. This agent is also involved in synaptic plasticity by controlling processes of synapses formation, releasing of neurotransmitters, and exciting of neurons [25].

The highest IGF-1 levels are detected in the cerebral structures with extensive vasculature (choroid plexus), as well as in the brain areas with a laminar structure (cerebellar cortex, hippocampus, olfactory bulbs) [17]. IGF-1 receptors are found primarily in synaptic areas [17].

IGF-1 in the development of depression and cognitive dysfunction: experimental data

Taking into account that IGF-1 can influence many cerebral processes such as synaptic plasticity, adult neurogenesis, and differentiation, it has been assumed that impairments in the IGF-1 system might be responsible for clinical abnormalities observed over the course of MDD, including cognitive dysfunction.

Decreased IGF-1 expression and IGF-1R phosphorylation were revealed in the hippocampus, frontal cortex [26], and olfactory bulb [27] in prenatally stressed rats, which showed depressive-like behavior. After intracerebroventricular administration of IGF-1, these effects in stressed animals were reversed, whilst after concomitant administration of the IGF-1R antagonist—JB1—the effects were completely blocked [27]. Moreover, the administration of antidepressant drugs normalized most of the alterations in the IGF-1 system of the olfactory bulb, which were induced by prenatal stress [27]. These findings demonstrate that prenatal stress changes IGF-1 signaling, which may contribute to the behavioral shifts, observed during MDD [26].

Mutant mice with low serum IGF-1 levels had decreased adult hippocampal neurogenesis together with impaired spatial learning [28]. Administration of exogenous IGF-1 restored the cognitive deficit and adult hippocampal neurogenesis [28]. Reduced expression of IGF-1 along with the decrease in serotonin has been found in male rats with depression-like traits due to social isolation [29].

Disruption of the IGF-1 gene induces neuronal loss in the hippocampus, striatum [30], and dentate gyrus in rats [31] and leads to age-dependent decrease in the differentiation of new cells into neurons [31]. These data indicate that the age-related decrease in the expression of IGF-1 might play an important role in the development of cognitive deficits seen in the elderly. It was shown that such cognitive impairments were reversible by extended systemic administration of IGF-1, pointing that the neurotrophic actions of IGF-1 influence glutamatergic synapses within the hippocampal circuits, thus affecting learning and memory [23].

Immune effects of IGF-1 are also attracting attention, given the importance of neuroinflammation in the pathogenesis of depression and cognitive dysfunction. Inflammation is a significant biological factor that might increase the risk of MDD much more than traditional psychosocial factors. There is strong evidence that depression includes impairments in multiple sides of immunity, which may play a role in the pathophysiology of depressive symptoms [32]. IGF-1 was shown to suppress inflammatory processes by suppressing the expression of inflammatory markers (i.e., IFN-g, IL-1b, TNF-a, iNOS, and GFAP) [33, 34] and enhancing the production of anti-inflammatory agents (IL-4 and IL-10) and BDNF [17, 33].

Despite the presence of harmonized experimental data on the decreased IGF-1 levels in brain in depression and cognitive impairment, there are discrepancies in the estimation of the peripheral IGF-1 concentrations in patients suffering from MDD. This study conducts a narrative review to summarize evidence regarding changes of peripheral IGF-1 in MDD patients and assess a marker and predictive role of the parameters for emotional and cognitive disturbances, and treatment effectiveness.

Methods

Two independent researchers (Levada and Troyan) conducted the systematic literature search of the PubMed database for the studies published in English from December 1988 to May 2017. If there was inconsistent selection and lack of agreement, a final decision was made through consensus. Search words were: “major depressive disorder”, “unipolar depression”, “cognitive function”, “cognitive dysfunction”, “cognitive deficit”, and “IGF-1”. In the first step, the search results were collected and the titles and abstracts were screened by Levada and Troyan. We included cross-sectional, case–control, longitudinal, and observational studies and reviews, in which peripheral (plasma or serum) IGF-1 levels were evaluated in patients with MDD and in some cases with any depressive disorders. We excluded case-reports or series studies, nonclinical trials and those using samples from tissues other than peripheral blood.

Results and discussion

In final analysis, we included twenty-three articles that compared different levels of peripheral IGF-1 in patients with depression and healthy controls. There were nine case–control [36, 42, 45, 47, 48, 52,53,54,55], two observational [35, 41], five longitudinal [39, 40, 43, 49, 51], and four cross-sectional studies [44,45,46, 50] and three reviews [17, 37, 38] among them. Eight papers reported comparisons of IGF-1 levels before and after treatment. Two articles compared IGF-1 levels in males and females. Three studies observed a predictive value of IGF-1 levels on occurrence of depression in future. Follow-up periods were 3, 4, and 5 years. Brief descriptions of these studies are presented in Table 1.

Table 1 Summary of findings

According to the data, we revealed four main findings: (1) IGF-1 levels in MDD patients mismatch across the studies, which might be due to various confounding factors, e.g., age, gender, the course of the disease, presence of cognitive impairment, ongoing therapy or general health conditions; (2) the initial peripheral IGF-1 levels may predict the occurrence of depression in future; (3) peripheral IGF-1 levels may reflect cognitive dysfunctions; (4) it is difficult to evaluate the influence of treatment on IGF-1 levels as there is discrepancy of this growth factor among the studies at baseline, although most of them showed a decrease in IGF-1 levels after treatment.

The results of current narrative review show that despite divergence the vast majority of studies reported significantly higher levels of peripheral IGF-1 in patients suffering from MDD than in healthy controls. Thus, several case–control studies [35, 42, 52, 53, 55] and one meta-analysis [38] revealed higher levels of peripheral IGF-1 in patients with depression. This positive association between peripheral IGF-1 levels and MDD might indicate a compensatory mechanism to counterbalance the decreased brain IGF-1 expression [35]. In addition, elevation of peripheral IGF-1 concentrations may be explained by the decreased cerebral bioavailability of the neurotrophin due to decreased sensitivity of IGF-1 receptors under the neuroinflammatory stress [38].

Otherwise, decreased levels of peripheral IGF-1 associated with depressive disorders were found only in one epidemiological study and only in women [44], although these discrepancies may arise from the heterogeneities in the depression diagnosis. Most of papers evaluated IGF-1 levels in MDD patients, but Sievers et al. [44] included in their study any depressive disorders, not well specified. This supports mentioned above experimental data that cerebral expression of growth factors is decreased in depression [56].

Controversial findings of IGF-1 levels in MDD patients in comparison with healthy controls, were observed in two recent reviews [17, 38]. Sharma et al. [38] and Szczesny et al. [17] found that studies conducted in different laboratories demonstrated an elevation, decrease or no change in peripheral IGF-1 levels in MDD patients.

Probably the relationship between IGF-1 and depression may have a “U”-shaped pattern [39], which could explain the discrepancies in findings among the studies. In the English Longitudinal Study of Aging, Chigogora et al. observed that lower and higher levels of IGF-1 were related to an elevated risk of depression, whereas the lowest risk was seen around the median levels of the factor [39]. These results are in a partial accordance with the finding that, among women, low IGF-1 levels were associated with higher risk of developing depressive symptoms [44]. Moreover, median levels of IGF-1 lowered the risk of depression disorder [40]. The “U”-shaped pattern of IGF-1-depression relationship is also supported by increased reports of lifetime prevalence of affective disorders in individuals with pituitary dwarfism and acromegaly, which have low and high levels of this hormone, respectively [39]. Hence, both high and low levels of peripheral IGF-1 might be indicators of MDD.

Since the IGF-1—depression association is highly complex, there might be various factors responsible for this. Some studies showed that associations between depression and IGF-1 levels differ across the genders. In the Longitudinal Aging Study Amsterdam (LASA), van Vansseveld et al. [40] found that in males in comparison with high concentrations, mid concentrations decreased the probability of minor depression. Otherwise, in females in comparison with high concentrations, low concentrations increased the probability of MDD. In the Study of Health in Pomerania (SHIP) sex differences were also evident [44]. These differences in the results between genders may be explained by variations of sex hormone or fluctuations of growth hormone and IGF-1-binding protein [40].

Although meta-analysis, Tu et al., found no peculiarities in IGF-1 levels between men and women, they demonstrated that the duration of illness had a significant inverse association with the peripheral IGF-1 levels [38]. Theoretically, a longer duration of illness should be associated with poorer cognitive function in patients with affective disorders and higher peripheral IGF-1 concentrations. However, the inverse association found in the meta-analysis Tu et al. was suggested to be caused by natural decline of IGF-1 expression with aging [38].

Perhaps the expression of IGF-1 is also influenced by biorhythms, particularly sleep disturbances. Rusch and colleagues demonstrated that sleep improvement in MDD patients was related to an increase of the growth factor. At the same time, Krogh et al. found that aerobic exercises (three times per week during 3 months) in patients with mild to moderate MDD had no effect on IGF-1 concentrations [43]. No correlations between baseline IGF-1 levels and clinical features in MDD patients were observed in a case–control study Rosso et al. [36].

Given that depressive mood and cognition are regulated by brain areas that are also responsive for IGF-1 production, it is possible that IGF-1 would modify both depressive and cognitive symptoms [37]. It was hypothesized that increased peripheral IGF-1 levels might not indicate the severity of depression but might indicate the impairment of cognition [38]. Thus, one study found that, among women, IGF-1 was positively correlated with cognitive impairment after adjustment for depression [50]. Similar results were found in patients with schizophrenia [48]. Palomino et al. demonstrated a positive association between peripheral IGF-1 concentration and the scores of the PANNS scale, which assesses cognitive deficits in schizophrenia; therefore, this positive correlation suggested that elevated levels of the neurotrophin might parallel cognitive impairment [48]. On contrary, in elderly people, decreased IGF-1 levels were significantly associated with the decline of cognitive functioning and higher prevalence of depressive symptoms [45], whereas higher levels of IGF-1 were seen in those with improved cognitions [48].

Whether peripheral IGF-1 levels may predict the probability of depression was investigated in three studies [39, 40, 44]. In the previously mentioned SHIP-study, which included 4079 subjects [44], low IGF-1 levels in females and high IGF-1 levels in males predicted the incidence of depressive disorder in the general population after a 5-year follow-up period. In addition, in the LASA, which included 1188 elderly participants (older than 65 years), mid concentrations of IGF-1 levels in women, as compared to high concentrations, decreased the probability of minor depression, while no prospective associations were detected in men after a three-year follow-up period [40]. Furthermore, Chigogora et al. reported a “U”-shaped pattern of MDD risk in both genders after 4 years of follow-up in subjects initially free of depression symptoms [44].

The influence of drug treatment on IGF-1 levels was also examined in MDD patients. It was suggested that antidepressant treatment modifies the relationship between depression and plasma IGF-1 level [35]. Weber-Hamann et al. and Deuschle et al. found that antidepressant treatment (amitriptyline, doxepin, fluoxetine, paroxetine) was related to a significant decline of plasma IGF-1 levels [49, 53]. Moreover, it was reported that only patients in remission had decreased IGF-1 concentrations after drug treatment [49, 53]. At the same time, antidepressant-free patients in remission had a trend towards higher IGF-1 levels [35]. Furthermore, it was demonstrated that the placebo substitution of paroxetine resulted in a significant increase in IGF-1 plasma levels [37, 51]. On contrary, a meta-analysis, Tu et al. [38,] and several case–control studies [36, 42, 47, 48] revealed no significant changes in peripheral IGF-1 levels after drug treatment.

Limitations

Discussed studies did not take into account the possibility of intra-individual variability in measurements of IGF-1 levels of the participants, which may arise from the lack of standardization of performing IGF-1 assay [57] and from normal biological variations, which may lead to false IGF-1 elevations [58]. In addition, to our knowledge, there are no studies that simultaneously compared peripheral and central levels of IGF-1 in MDD patients. Therefore, future studies should control for standardized assays for measuring IGF-1 levels, have repeated assessments, and elucidate the relationship between peripheral and central nervous system levels of this factor in MDD patients and healthy controls.

Conclusions

From the current review, we can conclude that there are discrepancies in IGF-1 levels in MDD patients across the studies, although the majority demonstrates higher levels of peripheral IGF-1 compared to healthy controls. These discrepancies may arise from various factors, such as gender, age of onset, the course of the disease, ongoing therapy, cognitive deficit, and general health conditions. The relationship between IGF-1 and cognitions needs further investigation, as it might be a useful biomarker for cognitive disturbances. Moreover, peripheral IGF-1 levels may play a predictive role in the occurrence of depression, thus low IGF-1 levels in women and high in men predict the development of MDD in general population. Some studies show that antidepressant treatment decreases IGF-1 levels.

Abbreviations

MDD:

major depressive disorder

References

  1. Kessler RS, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289:3095–105.

    Article  PubMed  Google Scholar 

  2. Vandeleur CL, Fassassi S, Castelao E, Glaus J, Strippoli MF, Lasserre AM, et al. Prevalence and correlates of DSM-5 major depressive and related disorders in the community. Psychiatry Res. 2017;250:50–8.

    Article  PubMed  Google Scholar 

  3. McIntyre RS, Xiao HX, Syeda K, Vinberg M, Carvalho AF, Mansur RB, et al. The prevalence, measurement, and treatment of the cognitive dimension/domain in major depressive disorder. CNS Drugs. 2015;29:577–89.

    Article  CAS  PubMed  Google Scholar 

  4. Baune BT, Miller R, McAfoose J, Johnson M, Quirk F, Mitchell D. The role of cognitive impairment in general functioning in major depression. Psychiatry Res. 2010;176:183–9.

    Article  PubMed  Google Scholar 

  5. Lam RW, Kennedy SH, Mclntyre RS, Khullar A. Cognitive dysfunction in major depressive disorder: effects on psychosocial functioning and implications for treatment. Can J Psychiatry. 2014;59:649–54.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lee RS, Hermens DF, Porter MA, Redoblado-Hodge MA. A meta-analysis of cognitive deficits in first-episode major depressive disorder. J Affect Disord. 2012;140:113–24.

    Article  PubMed  Google Scholar 

  7. Bora E, Harrison BJ, Yücel M, Pantelis C. Cognitive impairment in euthymic major depressive disorder: a meta-analysis. Psychol Med. 2013;43:2017–26.

    Article  CAS  PubMed  Google Scholar 

  8. Bortolato B, Carvalho AF, McIntyre RS. Cognitive dysfunction in major depressive disorder: a state-of-the-art clinical review. CNS Neurol Disord Drug Targets. 2014;13:1804–18.

    Article  PubMed  Google Scholar 

  9. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med. 2014;44:2029–40.

    Article  CAS  PubMed  Google Scholar 

  10. Papazacharias A, Nardini M. The relationship between depression and cognitive deficits. Psychiatr Danub. 2012;24(Suppl 1):S179–82.

    PubMed  Google Scholar 

  11. Kim HK, Nunes PV, Oliveira KC, Young LT, Lafer B. Neuropathological relationship between major depression and dementia: a hypothetical model and review. Prog Neuropsychopharmacol Biol Psychiatry. 2016;67:51–7.

    Article  PubMed  Google Scholar 

  12. Carvalho AF, Miskowiak KK, Hyphantis TN, Kohler CA, Alves GS, Bortolato B, et al. Cognitive dysfunction in depression–pathophysiology and novel targets. CNS Neurol Disord Drug Targets. 2014;13:1819–35.

    Article  PubMed  Google Scholar 

  13. Darcet F, Gardier AM, Gaillard R, David DJ, Guilloux JP. Cognitive dysfunction in major depressive disorder. A translational review in animal models of the disease. Pharmaceuticals. 2016;9(1):9.

    Article  PubMed Central  Google Scholar 

  14. Li Y, Pehrson AL, Waller JA, Dale E, Sanchez C, Gulinello M. A critical evaluation of the activity-regulated cytoskeleton-associated protein (Arc/Arg3.1)’s putative role in regulating dendritic plasticity, cognitive processes, and mood in animal models of depression. Front Neurosci. 2015;9:279.

    PubMed  PubMed Central  Google Scholar 

  15. Rial D, Lemos C, Pinheiro H, Duarte JM, Gonçalves FQ, Real JI, et al. Depression as a glial-based synaptic dysfunction. Front Cell Neurosci. 2016;9:521.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Sweatt JD. Neural plasticity and behavior—sixty years of conceptual advances. J Neurochem. 2016;139(Suppl 2):179–99.

    Article  CAS  PubMed  Google Scholar 

  17. Szczęsny E, Slusarczyk J, Głombik K, Budziszewska B, Kubera M, Lasoń W, et al. Possible contribution of IGF-1 to depressive disorder. Pharmacol Rep. 2013;65:1622–31.

    Article  PubMed  Google Scholar 

  18. Suh HS, Zhao ML, Derico L, Choi N, Lee SC. Insulin-like growth factor 1 and 2 (IGF1, IGF2) expression in human microglia: differential regulation by inflammatory mediators. J Neuroinflamm. 2013;10:37.

    Article  CAS  Google Scholar 

  19. Duman R. Role of neurotrophic factors in the etiology and treatment of mood disorders. Neuromol Med. 2004;5:11–25.

    Article  CAS  Google Scholar 

  20. Mitre M, Mariga A, Chao MV. Neurotrophin signalling: novel insights into mechanisms and pathophysiology. Clin Sci. 2017;131:13–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Matheny RW Jr, Nindl BC, Adamo ML. Minireview: mechano-growth factor: a putative product of IGF-I gene expression involved in tissue repair and regeneration. Endocrinology. 2010;151:865–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Annunziata M, Granata R, Ghigo E. The IGF system. Acta Diabetol. 2011;48:1–9.

    Article  CAS  PubMed  Google Scholar 

  23. Werner H, LeRoith D. Insulin and insulin-like growth factor receptors in the brain: physiological and pathological aspects. Eur Neuropsychopharmacol. 2014;24:1947–53.

    Article  CAS  PubMed  Google Scholar 

  24. Torres-Aleman I. Toward a comprehensive neurobiology of IGF-I. Dev Neurobiol. 2010;70:384–96.

    CAS  PubMed  Google Scholar 

  25. Russo VC, Gluckman PD, Feldman EL, Werther GA. The insulin-like growth factor system and its pleiotropic functions in brain. Endocr Rev. 2005;26:916–43.

    Article  CAS  PubMed  Google Scholar 

  26. Basta-Kaim A, Szczesny E, Glombik K, Stachowicz K, Slusarczyk J, Nalepa I, et al. Prenatal stress affects insulin-like growth factor-1 (IGF-1) level and IGF-1 receptor phosphorylation in the brain of adult rats. Eur Neuropsychopharmacol. 2014;24:1546–56.

    Article  CAS  PubMed  Google Scholar 

  27. Trojan E, Głombik K, Ślusarczyk J, Budziszewska B, Kubera M, Roman A, et al. The beneficial impact of antidepressant drugs on prenatal stress-evoked malfunction of the insulin-like growth factor-1 (IGF-1) protein family in the olfactory bulbs of adult rats. Neurotox Res. 2016;29:288–98.

    Article  CAS  PubMed  Google Scholar 

  28. Trejo JL, Llorens-Martín MV, Torres-Alemán I. The effects of exercise on spatial learning and anxiety-like behavior are mediated by an IGF-I-dependent mechanism related to hippocampal neurogenesis. Mol Cell Neurosci. 2008;37:402–11.

    Article  CAS  PubMed  Google Scholar 

  29. Das SK, Barhwal K, Hota SK, Thakur MK, Srivastava RB. Disrupting monotony during social isolation stress prevents early development of anxiety and depression like traits in male rats. BMC Neurosci. 2015;16:2.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Beck KD, Powell-Braxton L, Widmer H-R, Valverde J, Hefti F. Igf1 gene disruption results in reduced brain size, CNS hypomyelination, and loss of hippocampal granule and striatal parvalbumin-containing neurons. Neuron. 1995;14:717–30.

    Article  CAS  PubMed  Google Scholar 

  31. Lichtenwalner RJ, Forbes ME, Bennett SA, Lynch CD, Sonntag WE, Riddle DR. Intracerebroventricular infusion of insulin-like growth factor-I ameliorates the age-related decline in hippocampal neurogenesis. Neuroscience. 2001;107:603–13.

    Article  CAS  PubMed  Google Scholar 

  32. Crupi R, Cuzzocrea S. Neuroinflammation and Immunity: a new pharmacological target in depression. CNS Neurol Disord Drug Targets. 2016;15:464–76.

    Article  CAS  PubMed  Google Scholar 

  33. Park SE, Dantzer R, Kelley KW, McCusker RH. Central administration of insulin-like growth factor-I decreases depressive-like behavior and brain cytokine expression in mice. J Neuroinflamm. 2011;8:12.

    Article  CAS  Google Scholar 

  34. Puzik A, Rupp J, Tröger B, Göpel W, Herting E, Härtel C. Insulin-like growth factor-I regulates the neonatal immune response in infection and maturation by suppression of IFN-g. Cytokine. 2012;60:369–76.

    Article  CAS  PubMed  Google Scholar 

  35. Bot M, Milaneschi Y, Penninx BW, Drent ML. Plasma insulin-like growth factor I levels are higher in depressive and anxiety disorders, but lower in antidepressant medication users. Psychoneuroendocrinology. 2016;68:148–55.

    Article  CAS  PubMed  Google Scholar 

  36. Rosso G, Zanardini R, Chiodelli DF, Ferrari C, Gennarelli M, Bocchio-Chiavetto L. Serum levels of insulin-like growth factor-1 and obsessive-compulsive disorder: a case–control study. Neuropsychobiology. 2016;74:15–21.

    Article  CAS  PubMed  Google Scholar 

  37. Sharma AN, da Costa e Silva BF, Soares JC, Carvalho AF, Quevedo J. Role of trophic factors GDNF, IGF-1 and VEGF in major depressive disorder: a comprehensive review of human studies. J Affect Disord. 2016;197:9–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Tu KY, Wu MK, Chen YW, Lin PY, Wang HY, Wu CK, et al. Significantly higher peripheral insulin-like growth factor-1 levels in patients with major depressive disorder or bipolar disorder than in healthy controls: a meta-analysis and review under guideline of PRISMA. Medicine. 2016;95:e2411.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Chigogora S, Zaninotto P, Kivimaki M, Steptoe A, Batty GD. Insulin-like growth factor 1 and risk of depression in older people: the English Longitudinal Study of Ageing. Transl Psychiatry. 2016;6:e898.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Van Varsseveld NC, Van Bunderen CC, Sohl E, Comijs HC, Penninx BW, Lips P, et al. Serum insulin-like growth factor 1 and late-life depression: a population-based study. Psychoneuroendocrinology. 2015;54:31–40.

    Article  PubMed  Google Scholar 

  41. Rusch HL, Guardado P, Baxter T, Mysliwiec V, Gill JM. Improved sleep quality is associated with reductions in depression and PTSD arousal symptoms and increases in IGF-1 concentrations. J Clin Sleep Med. 2015;11:615–23.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Kopczak A, Stalla GK, Uhr M, et al. IGF-I in major depression and antidepressant treatment response. Eur Neuropsychopharmacol. 2015;25:864–72.

    Article  CAS  PubMed  Google Scholar 

  43. Krogh J, Rostrup E, Thomsen C, Elfving B, Videbech P, Nordentoft M. The effect of exercise on hippocampal volume and neurotrophins in patients with major depression—a randomized clinical trial. J Affect Disord. 2014;165:24–30.

    Article  PubMed  Google Scholar 

  44. Sievers C, Auer MK, Klotsche J, Athanasoulia AP, Schneider HJ, Nauck M, et al. IGF-I levels and depressive disorders: results from the Study of Health in Pomerania (SHIP). Eur Neuropsychopharmacol. 2014;24:890–6.

    Article  CAS  PubMed  Google Scholar 

  45. Lin F, Suhr J, Diebold S, Heffner KL. Associations between depressive symptoms and memory deficits vary as a function of insulin-like growth factor (IGF-1) levels in healthy older adults. Psychoneuroendocrinology. 2014;42:118–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Emeny RT, Bidlingmaier M, Lacruz ME, Linkohr B, Peters A, Reincke M, Ladwig KH. Mind over hormones: sex differences in associations of well-being with IGF-I, IGFBP-3 and physical activity in the KORA-age study. Exp Gerontol. 2014;59:58–64.

    Article  CAS  PubMed  Google Scholar 

  47. Li SX, Liu LJ, Xu LZ, et al. Diurnal alterations in circadian genes and peptides in major depressive disorder before and after escitalopram treatment. Psychoneuroendocrinology. 2013;38:2789–99.

    Article  CAS  PubMed  Google Scholar 

  48. Palomino A, Gonzalez-Pinto A, Martinez-Cengotitabengoa M, et al. Relationship between negative symptoms and plasma levels of insulin-like growth factor 1 in first-episode schizophrenia and bipolar disorder patients. Prog Neuropsychopharmacol Biol Psychiatry. 2013;44:29–33.

    Article  CAS  PubMed  Google Scholar 

  49. Weber-Hamann B, Blum WF, Kratzsch J, Gilles M, Heuser I, Deuschle M. Insulin-like growth factor-I (IGF-I) serum concentrations in depressed patients: relationship to saliva cortisol and changes during antidepressant treatment. Pharmacopsychiatry. 2009;42:23–8.

    Article  CAS  PubMed  Google Scholar 

  50. Rueda Alfaro S, Serra-Prat M, Palomera E, Falcon I, Cadenas I, Boquet X, Puig Domingo M. Hormonal determinants of depression and cognitive function in independently-living elders. Endocrinol Nutr. 2008;55:396–401.

    Article  PubMed  Google Scholar 

  51. Michelson D, Amsterdam J, Apter J, Fava M, Londborg P, Tamura R, Pagh L. Hormonal markers of stress response following interruption of selective serotonin reuptake inhibitor treatment. Psychoneuroendocrinology. 2000;25:169–77.

    Article  CAS  PubMed  Google Scholar 

  52. Franz B, Buysse DJ, Cherry CR, Gray NS, Grochocinski VJ, Frank E, et al. Insulin-like growth factor 1 and growth hormone binding protein in depression: a preliminary communication. J Psychiatr Res. 1999;33:121–7.

    Article  CAS  PubMed  Google Scholar 

  53. Deuschle M, Blum WF, Strasburger CJ, Schweiger U, Weber B, Körner A, et al. Insulin-like growth factor-I. IGF-I) plasma concentrations are increased in depressed patients. Psychoneuroendocrinology. 1997;22:493–503.

    Article  CAS  PubMed  Google Scholar 

  54. Michelson D, Stratakis C, Hill L, et al. Bone mineral density in women with depression. N Engl J Med. 1996;335:1176–81.

    Article  CAS  PubMed  Google Scholar 

  55. Lesch KP, Rupprecht R, Müller U, Pfüller H, Beckmann H. Insulin-like growth factor I in depressed patients and controls. Acta Psychiatr Scand. 1988;78:684–8.

    Article  CAS  PubMed  Google Scholar 

  56. Mitschelen M, Yan H, Farley JA, Warrington JP, Han S, Hereñú CB, et al. Long-term deficiency of circulating and hippocampal insulin-like growth factor I induces depressive behavior in adult mice: a potential model of geriatric depression. Neuroscience. 2011;185:50–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Clemmons DR. Consensus statement on the standardization and evaluation of growth hormone and insulin-like growth factor assays. Clin Chem. 2011;57:555–9.

    Article  CAS  PubMed  Google Scholar 

  58. Bancos I, Algeciras-Schimnich A, Grebe SK, Donato LJ, Nippoldt TB, Erickson D. Evaluation of variables influencing the measurement of insulin-like growth factor-1. Endocr Pract. 2014;20:421–6.

    Article  PubMed  Google Scholar 

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OL contributed to conception and design. Both authors participated in the literature review and manuscript preparation. Both authors read and approved the final manuscript.

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Levada, O.A., Troyan, A.S. Insulin-like growth factor-1: a possible marker for emotional and cognitive disturbances, and treatment effectiveness in major depressive disorder. Ann Gen Psychiatry 16, 38 (2017). https://0-doi-org.brum.beds.ac.uk/10.1186/s12991-017-0161-3

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