Skip to main content

Altered circulating GDF-15 level predicts sex hormone imbalance in males with major depressive disorder

Abstract

Background

It has been hypothesized that higher growth differentiation factor 15 (GDF15) level and lower testosterone/ estradiol (T/E) ratio are associated with major depressive disorder (MDD), yet the underlying effect of serum GDF15 on hinting the T/E ratio imbalance is not fully understood. We observed the correlation between serum T/E ratio and circulating GDF15 in male depressed cohort.

Methods

The sample consisted of participants (aged 18 ~ 65 years) from the Renmin Hospital of Wuhan University with MDD (n = 412) defined according to a Structured Clinical Interview for DSM-V (SCID), and male healthy controls (n = 137). Serum levels of testosterone, estradiol, and depression risk biomarkers (thyroid hormone, lipids, hs-CRP, Tenascin-C [TNC], GDF15, KLF4, Gas6, and sgp130) were measured. The associations among log-transformed T/E ratio and these biomarkers were analyzed using univariate correlation analysis, category analyses, and linear regression adjusting for standard risk factors.

Results

Of the sample, 36.89% had lower T/E ratio (< 10:1) and 10.20% had higher T/E ratio (> 20:1). After multivariable adjustment, T/E ratio was negatively associated with GDF15 (-0.095 [95% CI -0.170 ~ -0.023] standard deviation [SD] change per SD increase in lg[T/E], P = 0.015) and inversely related to TNC (-0.085 [95% CI -0.167 ~ 0.003] standard deviation [SD] change per SD increase in lg[T/E], P = 0.048). Serum T/E ratio was negatively associated with GDF15 level in both FT3, TSH and HDL strata, whereas this association was not observed in TNC. In T/E ratio strata analyses, there is a significant and negative correlation among T/E ratio and GDF15 in depressive patients with sex hormone imbalance, yet this relationship was not investigated in patients with sex hormone balance.

Conclusion

In our community-based observation, circulating GDF-15 level was greatly and inversely associated with serum T/E ratio, indicating that higher GDF-15 alerts sex hormone imbalance in patients with MDD.

Peer Review reports

Background

Major depressive disorder (MDD) is considered as a major public healthy challenge and is predicted to the significant cause of disability worldwide in 2020 [1]. This disorder leads to the soaring costs for treatment and heavy mental pressure for patients [2]. Depressive etiology and pathophysiology have been poorly demonstrated. Research advances in recent decade demonstrated the potential effect of new biomarkers which may impact mood in combination with the more neuroendocrine mechanisms. A large number of observations have proposed that dysregulation of neurotransmitter, dysfunction of hypothalamic-pituitary-thyroid (HPT) and inflammatory response are closely associated with the development of MDD [3,4,5]. Furthermore, extensive investigations have demonstrated that sex hormone deficiency may be involved in the pathogenesis of depression [6,7,8]. Thus, sex hormone deficiency might be involved only in specific subgroups of depression due to the complex interactions of social, psychological and biological factors in depression. A basic study has shown that both testosterone and estradiol have anxiolytic- and antidepressant-like effects in gonadectomized male animals, and the protective effects of testosterone are mediated by its aromatization [9]. The excess aromatase activity could lead to low testosterone and relatively increased estradiol levels (sex hormone imbalance) in men [10], and sex hormone imbalance was found to be correlated with the occurrence of depressive disorder [11].

Recent studies have displayed that many serum biomarkers, such as Tenascin-c (TNC), GDF-15, growth arrest-specific 6 (Gas6), kruppel like factor 4 (KLF4), and soluble glycoprotein 130 (sgp130), were found to be potential associated with MDD. Some researchers demonstrated that serum elevated TNC and GDF15 levels may be inflammatory biomarkers for depressive pathophysiology [12, 13]. Gas6 deficiency may be a potential mediator for MDD via increasing oligodendrocyte loss and microglial activation [14]. Whereas KLF4 could induce microglial activation through increasing the production of inflammatory cytokines [15]. An earlier study also reported that sgp130 may be a therapeutic target in chronic depression [16]. Moreover, related studies have demonstrated that gonadal hormone are closely associated with these serum biomarkers. Our research team have confirmed that testosterone is significantly and positively associated with serum Gas6 level [17], and serum sgp130 was positively correlated with estradiol and testosterone/estradiol ratio in male patients with coronary atherosclerotic disease [18]. TNC, KLF4 and GDF15 were also found to be associated with sex hormone levels in earlier studies [19, 20]. However, the associations between sex hormone and these biomarkers in depressive patients remain poorly demonstrated, and the alteration in which marker could alert sex hormone imbalance in MDD is unclear.

In the current study, we explored the associations among serum T/E ratio and circulating depression risk biomarkers in depressed cohort. The main aim of this study was to select a biomarker to alert the sex hormone imbalance in depressive patients.

Material and methods

Study population

All male participants (412 depressive patients and 137 healthy controls) were enrolled form Department of Psychiatry at Renmin Hospital of Wuhan University. All subjects received a Structured Clinical Interview for DSM-V (SCID). In addition, Hamilton Depression Rating Scale (HDRS) and the Beck's Suicidal Ideation Scale (SSI) were also performed to assess the severity of depressive symptoms. Depressed symptoms were evaluated basing on SCID score at the first day of admission, and the background materials were recorded simultaneously. Moreover, the healthy controls enrolled in our study also receive the“physical exam and psychiatric interview” and their score within normal limits. Sociodemographic characteristics contained age and years of education. The following lifestyle and health indicators were evaluated: smoking status, alcohol use, and body mass index. Current alcohol use was evaluated by the Timeline Followback to assess alcohol use quantity and frequency over the past 30 days [21]. Clinical characteristics (duration of symptoms and age of onset) were also recorded. To determine a potential pathophysiological effect of treatment, antidepressants use was evaluated according to consulting the patients and family members, and medicine were included selective serotonin reuptake inhibitors (SSRI), serotonin-norepinephrine reuptake inhibitors (SNRI) and tricyclic antidepressants (TCA). The Medical Ethics Review Committee of Renmin Hospital of Wuhan University approved this study protocol, and all subjects provided written informed consent.

Sample collection

Blood specimens were drawn from antecubital vein of all participants after an overnight fast. Serum samples were immediately centrifuged, recovered into 2 ml cryogenic vials and frozen at -80 ℃ until assays for various analyses.

Depression risk biomarkers

Circulating concentrations of TNC, GDF15, KLF4, Gas6 and sgp130 were detected along with a panel of other biomarkers, including testosterone, estradiol, thyroid hormone, lipids, and hs-CRP, as detailed previously [22]. In brief, the concentrations of total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and high-sensitivity C-reactive protein (hs-CRP) were measured using a Siemens Advia 2400 automatic biochemistry analyzer (Siemens, Erlangen, Germany). Free thyroxine (FT4), free triiodothyronine (FT3), thyroid-stimulating hormone (TSH), testosterone (T), and estradiol (E) concentrations were determined using a Siemens Advia Centaur CP (Siemens, Erlangen, Germany). The T/E ratio was calculated according to the values of testosterone and estradiol. TNC concentration was detected using an enzyme-linked immunosorbent assay with a detection limit of 0.78 ng/ml (Wuhan, China, CUSABIO), GDF15 level was measured by an enzyme-linked immunosorbent assay with a detection limit of 7.8 pg/ml (Wuhan, China, CUSABIO), KLF4 concentration was detected using an enzyme-linked immunosorbent assay with a detection limit of 18.75 pg/ml (Wuhan, China, CUSABIO), Gas6 content was measured by an enzyme-linked immunosorbent assay with a detection limit of 0.78 ng/ml (Wuhan, China, CUSABIO), sgp130 concentration was determined by an enzyme-linked immunosorbent assay with a detection limit of 0.25 ng/ml (Wuhan, China, Elabscience). All biomarker measurements were conducted in accordance with kit manufacturer standards.

Statistical analyses

Variables were described as mean ± s.d. or percentages, and analyzed using SPSS software 20.0. All biomarkers were natural logarithmically transformed (to normalize their skewed distribution) and standardized. Differences in clinical characteristics were analyzed using χ2-tests or analyses of variance as appropriate. Difference in depression risk biomarkers were tested according to classification of T/E ratio using ANOVA. The associations among T/E ratio and depression risk biomarkers were assessed using single-factor correlation analysis and multivariable linear regression analysis. Stratified analysis was performed to further analyze the correlations between T/E ratio and GDF15, TNC in age, duration, FT3, TSH, HDL and hs-CRP strata.

Results

Study population

A total of 547 subjects, with a average age of 35.89 years (± 13.57 of s.d.), had complete epidemiologic inquiry and biomarkers measurements from the case–control study. The mean of duration of disease in depressive patients was 36.47 months (± 31.72 of s.d.), the average age of onset was 29.34 years (± 13.52 of s.d.), and 41.01% of the depressed patients comorbided anxiety. The analyses of depressive severity showed that more than half the patients suffered from moderate depression (Table 1).

Table 1 Characteristics of the study population

The biochemical variables of the participants are displayed in Table 1. The values of serum T, T/E ratio, FT3, TSH, HDL, KLF4 and Gas6 level in depressed patients were significantly decreased compared with healthy controls ( all P < 0.05). Whereas the serum levels of hs-CRP, TG, TNC and GDF15 in depressed subjects were higher than healthy controls ( all P < 0.05). The serum levels of E, FT4, TC, LDL and sgp130 unchanged in patients when compared to controls (all P > 0.05). Moreover, The associations among these biomarkers and severity of depression were shown in Supplemental Table 1. The results demonstrated that T/E ratio and GDF15 were closely associated with severity of depression.

Altered biomarkers concentrations in different classification of serum T/E ratio

Based on extensive investigations, many researchers proposed a cut-point of 10 as the lower limit of normal T/E ratio, and a cut-point of 20 as the higher limit of normal T/E ratio in male [23]. In this study, one third of the depressed patient (36.89%) had lower T/E ratio (< 10:1) and 10.20% had higher T/E ratio (> 20:1). The proportion of participants with with lower T/E ratio increased from healthy controls (13.14%) to those with depression (36.89%). Table 2 shows the changes of depression risk biomarkers among lower, normal, and higher T/E ratio assessed by one-way analysis of variance. As shown in Table 2, the significant changes of FT3, GDF15 and Gas6 levels between lower, normal, and higher T/E ratio were observed (P < 0.05), whereas the levels of other risk factors unchanged significantly (P > 0.05). Higher levels of FT3 and Gas6 were investigated for increasing T/E ratio, and lower level of GDF15 was observed for increasing T/E ratio.

Table 2 Unadjusted means of different biomarkers according to T/E status

Correlations among log-transformed T/E ratio and biomarkers in MDD

Univariate correlation analysis was performed to study the associations between log-transformed T/E ratio and depression risk biomarkers in depressive participants. The results in Table 3 demonstrate that T/E ratio is positively and significantly associated with FT3 (β = 0.381, P < 0.05) and Gas6 (β = 0.061, P < 0.05); whereas T/E ratio is negatively and significantly associated with TNC (β = -0.075, P < 0.05) and GDF15 (β = -0.113, P < 0.001).

Table 3 Correlations of log-transformed T/E ratio and biomarkers

Logistic regression analyses for log-transformed T/E ratio and GDF15

Results from multivariate linear regression models relating log-transformed T/E ratio to depression risk biomarkers are displayed in Table 4. According to the results of univariate correlation analysis, we incorporated the age, FT3, HDL, TG, Gas6, GDF15 and TNC to perform the multivariable logistic regression analyses. Upon multivariable adjustment for age, FT3, HDL, TG and Gas6, higher T/E ratio remained statistically significantly related to lower GDF15 level (estimate -0.095 [95% CI -0.170 ~ -0.023] standard deviation [SD] change per SD increase in lg[T/E], P = 0.015) and TNC (estimate -0.085 [95% CI -0.167 ~ 0.003] standard deviation [SD] change per SD increase in lg[T/E], P = 0.048). In addition, upon multivariable adjustment for only age, higher T/E ratio remained statistically significantly related to lower GDF15 level (estimate -0.118 [95% CI -0.168 ~ -0.075] standard deviation [SD] change per SD increase in lg[T/E], P = 0.001) and TNC (estimate -0.087 [95% CI -0.157 ~ -0.019] standard deviation [SD] change per SD increase in lg[T/E], P = 0.009).

Table 4 Adjusted associations between log-transformed T/E ratio, GDF15 and TNC

Associations between log-transformed T/E ratio and GDF15 across risk categories

Table 5 presents correlation coefficient for the association among log-transformed T/E ratio and GDF15, TNC levels, stratified by age, duration, FT3, TSH, HDL and hs-CRP. Inverse associations among T/E ratio and GDF15 level were found for all FT3, TSH and HDL strata, whereas the negative relations between T/E ratio and GDF15 level were noted for partial age, duration and hs-CRP strata. However, the inverse relations among T/E ratio and TNC level in all age, duration, FT3, TSH, HDL and hs-CRP strata were not observed.

Table 5 Correlations of log-transformed T/E ratio, GDF15 and TNC across categories of age, duration, FT3 level, TSH level, HDL level and hsCRP level

Altered GDF-15 level alerts sex hormone imbalance in MDD

In order to further demonstrate whether the altered serum GDF15 level could alert sex hormone imbalance in depressive subjects, we analyzed the associations between log-transformed T/E ratio and depression risk biomarkers across the strata of T/E ratio. Based on the earlier report [23], the normal T/E ratio in men was defined as 10:1 ~ 20:1 (sex hormone balance), and the T/E ratio lower than 10:1 or more than 20:1 were considered as abnormal (sex hormone imbalance). As shown in Table 6, there is a significantly and negatively correlation between T/E ratio and GDF15 level in depressed patients with sex hormone imbalance. These findings further verify that increased circulating GDF15 level could alert sex hormone imbalance in MDD.

Table 6 Correlations of log-transformed T/E ratio and biomarkers across categories of sex hormone balance and unbalance

Discussion

In a host of depressive patients and healthy controls, to our knowledge the first of its kind, we demonstrated that after adjusting a large number of potential confounding factors, high serum abundance of GDF15 was associated with sex hormone imbalance in MDD. Not only the overall correlation between T/E ratio and GDF15 level was of significant effect size, but also the effect size was more pronounced in depressed patients with the sex hormone imbalance. Clinically higher GDF15 level was more likely to be observed in depressive individuals with lower T/E ratio. In addition, the association among T/E ratio and TNC level was of rather small effect size relative to GDF15. In the current study, we also observed that being depression was correlated to lower FT3 and TSH levels, in line with previous studies [22, 24]. Hyperparathyroidism has been regarded as the most important mechanism whereby inflammatory response could lead to the development of MDD.

At the molecular level, GDF15 was found to be a stress-responsive cytokine which is secreted by multiple cells, such as macrophages, endothelial cells, and neurons in response to oxidative stress, injury, and inflammation [25, 26]. GDF15 acts as a growth factor as well as immunomodulator, and has been thought to be involved in cognitive decline [27, 28]. Our study demonstrated that GDF15 level in depressed subjects was significantly higher than healthy controls, as well as increased GDF15 is closely associated with sex hormone imbalance in patients with MDD. Whereas the association between GDF15 and T/E was not observed in healthy controls. In prior studies, GDF15 was significantly and inversely associated with testosterone level in subjects with anaemia [21], as well as estradiol could activate GDF15 expression in the tamoxifen resistant cell systems [29]. These previous investigations confirm our results that T/E ratio was closely significantly and negatively associated with circulating GDF15 level in depressed patients. There was a demonstration that GDF15 may participant in the etiology of Parkinson's disease through the activation of chemokine receptor 4 (CXCR4) [30]. GDF15 has also been reported to promote simultaneous astrocyte remodeling and tight junction strengthening at the blood–brain barrier (BBB), which is closely associated with the occurrence and development of depression [31]. Moreover, it was reported that chronic depletion of gonadal testosterone results in BBB dysfunction and inflammation in male mice to induce depressive behavior [32]. According to above findings, it supported that GDF15 and sex hormone involve in the development of MDD. In addition, our results also showed that both GDF15 upregulation and T/E ratio decreasing were positively associated with the severity of MDD.

The present research possesses several limitations. First, as the research design was mainly cross-sectional, on deduction on the directionality of the correlation could be performed. We could not adjust the determined correlation for dietary intake of cholesterol, which can be metabolized into testosterone and estradiol, because nutritional information can not be collected. Whereas only small part of serum testosterone is detected by dietary intake, and high intake of saturated fat could result in the elevation of estradiol [33]. Furthermore, soy intake was found to impact the secretion or metabolism of sex steroids and further alter the circulating levels of testosterone and estradiol [34]. Then the the medicine used for 1–2 months prior to recruitment may affect the sex hormone and depression risk biomarkers [35]. Therefore, we were also not able to adjust the relationship for drug treatment of antidepressants. In addition, this research has several crucial superiorities, such as adjustment for possible confounders, multilevel analyses for observed association.

Collectively, our results afford compelling evidence to previous studies, which mainly investigated the alterations in sex hormone or single risk biomarkers in MDD. Remarkably, after adjustment for multiple risk factors, serum T/E ratio was closely and inversely associated with GDF15, suggesting that the sex hormone imbalance in vivo may contribute to the increased circulating GDF15 level. Adjusting for those confounders did not attenuate the correlation among serum T/E ratio and GDF in MDD. This finding should induce further longitudinal and basic experimental test stating consistent time-sequenced correlations to investigate causality in the sex hormone-GDF15 link in MDD. Confirming an involvement of GDF15 in the pathway to depressive development due to sex hormone imbalance may have important implications. GDF15 could possesses positive and negative roles depending on the status of cells and their environment [36]. We speculate that individuals with sex hormone imbalance could stimulate GDF15 expression, and it shows a negative effect to promote the development of depression, including the induction of inflammation and oxidative stress [37, 38]. A previous study has demonstrated that GDF15 could regulate the expression of relevant genes for the hormone dependent regulation in advanced metastatic castration-resistant prostate cancer, including androgen receptor (AR) and aromatase gene [39]. Therefore, it supported that GDF15 upregulation induces sex hormone imbalance in males with MDD. Addressing these problem successfully could help us to thought whether normalization of serum T/E ratios may become a possible future strategy to prevent or treat MDD. Furthermore, normalization of serum GDF15 level may be considered as a potential biomarker to hint sex hormone imbalance in vivo.

In summary, circulating GDF15 level was greatly and inversely associated with serum T/E ratio, indicating that higher GDF15 alerts sex hormone imbalance in patients with MDD. Moreover, our results may indicate that GDF15 induces the expression of aromatase to metabolize testosterone transformation to estradiol and leads to sex hormone imbalance, which further induces the development of MDD through some signaling pathways.

Availability of data and materials

The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

Abbreviations

MDD:

Major depressive disorder

TNC:

Tenascin-c

GDF15:

Growth differentiation factor 15

Gas6:

Growth arrest-specific 6

KLF4:

Kruppel like factor 4

sgp130:

Soluble glycoprotein 130

E:

Estradiol

T:

Testosterone

TSH:

Thyroid-stimulating hormone

FT3:

Free triiodothyronine

FT4:

Free thyroxine

hs-CRP:

High-sensitivity C-reactive protein

LDL-C:

Low density lipoprotein cholesterol

HDL-C:

How density lipoprotein cholesterol

TG:

Triglyceride

TC:

Total cholesterol

TCA:

Tricyclic antidepressants

SNRI:

Serotonin-norepinephrine reuptake inhibitors

SSRI:

Selective serotonin reuptake inhibitors

SCID:

Structured clinical interview for DSM-IV

HDRS:

Hamilton depression rating scale

SSI:

Beck's suicidal ideation scale

References

  1. Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990 2020: global burden of disease study. Lancet. 1997;349:1498–504. https://doi.org/10.1016/S0140-6736(96)07492-2.

    Article  CAS  Google Scholar 

  2. Cuijpers P, Beekman AT, Reynolds CF. Preventing depression: a global priority. JAMA. 2012;307:1033–4. https://doi.org/10.1001/jama.2012.271.

    Article  CAS  Google Scholar 

  3. Blier P. Neurotransmitter targeting in the treatment of depression. J Clin Psychiatry. 2013;74:19–24. https://doi.org/10.4088/JCP.12084su1c.04.

    Article  CAS  Google Scholar 

  4. Duval F, Mokrani MC, Erb A, Gonzalez Lopera F, Alexa C, Proudnikova X, et al. Chronobiological hypothalamic-pituitary-thyroid axis status and antidepressant outcome in major depression. Psychoneuroendocrinology. 2015;59:71–80. https://doi.org/10.1016/j.psyneuen.2015.05.005.

    Article  CAS  Google Scholar 

  5. Kiecolt-Glaser JK, Derry HM, Fagundes CP. Inflammation: depression fans the flames and feasts on the heat. Am J Psychiatry. 2015;172:1075–91. https://doi.org/10.1176/appi.ajp.2015.15020152.

    Article  Google Scholar 

  6. Frokjaer VG, Pinborg A, Holst KK, Overgaard A, Henningsson S, Heede M, et al. Role of serotonin transporter changes in depressive responses to sex-steroid hormone manipulation: a positron emission tomography study. Biol Psychiatry. 2015;78(8):534–43. https://doi.org/10.1016/j.biopsych.2015.04.015.

    Article  CAS  Google Scholar 

  7. Giltay EJ, van der Mast RC, Lauwen E, Heijboer AC, de Waal MWM, Comijs HC. Plasma testosterone and the course of major depressive disorder in older men and women. Am J Geriatr Psychiatry. 2017;25(4):425–37. https://doi.org/10.1016/j.biopsych.2015.04.015.

    Article  CAS  Google Scholar 

  8. Schmidt PJ, Ben Dor R, Martinez PE, Guerrieri GM, Harsh VL, Thompson K, et al. Effects of estradiol withdrawal on mood in women with past perimenopausal depression: a randomized clinical trial. JAMA Psychiat. 2015;72(7):714–26. https://doi.org/10.1001/jamapsychiatry.2015.0111.

    Article  Google Scholar 

  9. Carrier N, Saland SK, Duclot F, He H, Mercer R, Kabbaj M. The anxiolytic and antidepressant-like effects of testosterone and estrogen in gonadectomized male rats. Biol Psychiatry. 2015;78(4):259–69. https://doi.org/10.1016/j.biopsych.2014.12.024.

    Article  CAS  Google Scholar 

  10. Yarrow JF, Wronski TJ, Borst SE. Testosterone and adult male bone: actions independent of 5α-reductase and aromatase. Exerc Sport Sci Rev. 2015;43(4):222–30. https://doi.org/10.1249/JES.0000000000000056.

    Article  Google Scholar 

  11. Monteagudo PT, Falcão AA, Verreschi IT, Zanella MT. The imbalance of sex-hormones related to depressive symptoms in obese men. Aging Male. 2016;19(1):20–6. https://doi.org/10.3109/13685538.2015.1084500.

    Article  CAS  Google Scholar 

  12. Bot M, Chan MK, Jansen R, Lamers F, Vogelzangs N, Steiner J, et al. Serum proteomic profiling of major depressive disorder. Transl Psychiatry. 2015;5:e599. https://doi.org/10.1038/tp.2015.88.

    Article  CAS  Google Scholar 

  13. Frye MA, Nassan M, Jenkins GD, Kung S, Veldic M, Palmer BA, et al. Feasibility of investigating differential proteomic expression in depression: implications for biomarker development in mood disorders. Transl Psychiatry. 2015;5:e689. https://doi.org/10.1038/tp.2015.185.

    Article  CAS  Google Scholar 

  14. Binder MD, Cate HS, Prieto AL, Kemper D, Butzkueven H, Gresle MM, et al. Gas6 deficiency increases oligodendrocyte loss and microglial activation in response to cuprizone-induced demyelination. J Neurosci. 2008;28(20):5195–206. https://doi.org/10.1523/JNEUROSCI.1180-08.2008.

    Article  CAS  Google Scholar 

  15. Kaushik DK, Mukhopadhyay R, Kumawat KL, Gupta M, Basu A. Therapeutic targeting of Krüppel-like factor 4 abrogates microglial activation. J Neuroinflammation. 2012;9:57–65. https://doi.org/10.1186/1742-2094-9-57.

    Article  CAS  Google Scholar 

  16. Maes M, Anderson G, Kubera M, Berk M. Targeting classical IL-6 signalling or IL-6 trans-signalling in depression. Expert Opin Ther Targets. 2014;18:495–512. https://doi.org/10.1517/14728222.2014.888417.

    Article  CAS  Google Scholar 

  17. Zhao R, Li Y, Dai W. Serum sex hormone and growth arrest-specific protein 6 levels in male patients with coronaryhea disease. Asian J Androl. 2016;18(4):644–9. https://doi.org/10.4103/1008-682X.172825.

    Article  CAS  Google Scholar 

  18. Cui Y, Dai W, Li Y. Circulating levels of sgp130 and sex hormones in male patients with coronary atherosclerotic disease. Atherosclerosis. 2017;266:151–7. https://doi.org/10.1016/j.atherosclerosis.2017.09.002.

    Article  CAS  Google Scholar 

  19. Xue Y, van der Laak JA, Latijnhouwers MA, Smedts F, van der Poel HG, de la Rosette JJ, et al. Transient tenascin enhancement is an early event after androgen ablation in rat prostate. Urol Res. 1999;27:9–15. https://doi.org/10.1007/s002400050083.

    Article  CAS  Google Scholar 

  20. Sivritas D, Becher MU, Ebrahimian T, Arfa O, Rapp S, Bohner A, et al. Antiproliferative effect of estrogen in vascular smooth muscle cells is mediated by Kruppel-like factor-4 and manganese superoxide dismutase. Basic Res Cardiol. 2011;106:563–75. https://doi.org/10.1007/s00395-011-0174-z.

    Article  CAS  Google Scholar 

  21. Sobell LC, Sobell MB. Timeline follow-back. In: Litten RZ, Allen JP, editors. Measuring alcohol consumption: psychosocial and biochemical methods. Totowa (NJ): Humana Press; 1992. p. 41–72.

    Chapter  Google Scholar 

  22. Peng R, Li Y. Low serum thyroid-stimulating hormone levels are associated with lipid profile in depressive patients with long symptom duration. J Affect Disord. 2017;217:99–104. https://doi.org/10.1016/j.jad.2017.03.055.

    Article  CAS  Google Scholar 

  23. Schlegel PN. Aromatase inhibitors for male infertility. Fertil Steril. 2012;98(6):1359–62. https://doi.org/10.1016/j.fertnstert.2012.10.023.

    Article  CAS  Google Scholar 

  24. Peng R, Dai W, Li Y. Low serum free thyroxine level is correlated with lipid profile in depressive patients with suicide attempt. Psychiat Res. 2017;266:111–5. https://doi.org/10.1016/j.psychres.2018.05.059.

    Article  CAS  Google Scholar 

  25. Kempf T, Zarbock A, Widera C, Butz S, Stadtmann A, Rossaint J, et al. GDF-15 is an inhibitor of leukocyte integrin activation required for survival after myocardial infarction in mice. Nat Med. 2011;17(5):581–8. https://doi.org/10.1038/nm.2354.

    Article  CAS  Google Scholar 

  26. Nickel N, Jonigk D, Kempf T, Bockmeyer CL, Maegel L, Rische J, et al. GDF-15 is abundantly expressed in plexiform lesions in patients with pulmonary arterial hypertension and affects proliferation and apoptosis of pulmonary endothelial cells. Respir Res. 2011;12:62–71. https://doi.org/10.1186/1465-9921-12-62.

    Article  CAS  Google Scholar 

  27. Liu HT, Wang HC, Tao L, Li CX, Li F, Zhang YY, et al. Stress-induced growthdifferentiation factor 15 plays an intriguing role in cardiovascular diseases. Chin Med J (Engl). 2013;126:1350–4.

    Google Scholar 

  28. Fuchs T, Trollor JN, Crawford J, Brown DA, Baune BT, Samaras K, et al. Macrophage inhibitory cytokine-1 is associated with cognitive impairment and predicts cognitive decline—the Sydney memory and aging study. Aging Cell. 2013;12:882–9. https://doi.org/10.1111/acel.12116.

    Article  CAS  Google Scholar 

  29. Stone A, Valdés-Mora F, Gee JM, Farrow L, McClelland RA, Fiegl H, et al. Tamoxifen-induced epigenetic silencing of oestrogen-regulated genes in anti-hormone resistant breast cancer. PLoS One. 2012;7(7):e40466. https://doi.org/10.1371/journal.pone.0040466.

    Article  CAS  Google Scholar 

  30. Machado V, Haas SJ, von Bohlen Und Halbach O, Wree A, Krieglstein K, Unsicker K, et al. Growth/differentiation factor-15 deficiency compromises dopaminergic neuron survival and microglial response in the 6-hydroxydopamine mouse model of Parkinson's disease. Neurobiol Dis. 2016;88:1–15. https://doi.org/10.1016/j.nbd.2015.12.016.

  31. Malik VA, Zajicek F, Mittmann LA, Klaus J, Unterseer S, Rajkumar S, et al. GDF15 promotes simultaneous astrocyte remodeling and tight junction strengthening at the blood-brain barrier. J Neurosci Res. 2020;98(7):1433–56. https://doi.org/10.1002/jnr.24611.

    Article  CAS  Google Scholar 

  32. Atallah A, Mhaouty-Kodja S, Grange-Messent V. Chronic depletion of gonadal testosterone leads to blood-brain barrier dysfunction and inflammation in male mice. J Cereb Blood Flow Metab. 2017;37(9):3161–75. https://doi.org/10.1177/0271678X16683961.

    Article  CAS  Google Scholar 

  33. Young LR, Kurzer MS, Thomas W, Redmon JB, Raatz SK. Effect of dietary fat and omega-3 fatty acids on urinary eicosanoids and sex hormoneconcentrations in postmenopausal women: a randomized controlled feeding trial. Nutr Cancer. 2011;63(6):930–9. https://doi.org/10.1080/01635581.2011.589957.

    Article  CAS  Google Scholar 

  34. Wada K, Nakamura K, Masue T, Sahashi Y, Ando K, Nagata C. Soy intake and urinary sex hormone levels in preschool Japanese children. Am J Epidemiol. 2011;173(9):998–1003. https://doi.org/10.1093/aje/kwr006.

    Article  Google Scholar 

  35. Dávila-Hernández A, González-González R, Guzmán-Velázquez S, Hernández Hernández OT, Zamudio SR, Martínez-Mota L. Antidepressant-like effects of acupuncture via modulation of corticosterone, sex hormones, and hippocampal BDNF expression in male rats. Brain Res Bull. 2021;173:53–65. https://doi.org/10.1016/j.brainresbull.2021.05.007.

    Article  CAS  Google Scholar 

  36. Corre J, Hébraud B, Bourin P. Concise review: growth differentiation factor 15 in pathology: a clinical role. Stem Cells Transl Med. 2013;2(12):946–52. https://doi.org/10.5966/sctm.2013-0055.

    Article  CAS  Google Scholar 

  37. Breit SN, Johnen H, Cook AD, Tsai VW, Mohammad MG, Kuffner T, et al. The TGF-β superfamily cytokine, MIC-1/GDF15: a pleotrophic cytokine with roles in inflammation, cancer and metabolism. Growth Factors. 2011;29(5):187–95. https://doi.org/10.3109/08977194.2011.607137.

    Article  CAS  Google Scholar 

  38. Wallentin L, Hijazi Z, Andersson U, Alexander JH, De Caterina R, Hanna M, et al. Growth differentiation factor 15, a marker of oxidative stress and inflammation, for risk assessment in patients with atrial fibrillation: insights from the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) trial. Circulation. 2014;130(21):1847–58. https://doi.org/10.1161/CIRCULATIONAHA.114.011204.

    Article  CAS  Google Scholar 

  39. León-Mateos L, Casas H, Abalo A, Vieito M, Abreu M, Anido U, et al. Improving circulating tumor cells enumeration and characterization to predict outcome in first line chemotherapy mCRPC patients. Oncotarget. 2017;8(33):54708–21. https://doi.org/10.18632/oncotarget.18025.

    Article  Google Scholar 

Download references

Acknowledgements

We thank these patients and participants who willingly and generously provided information and samples.

Funding

This study was supported by the Fundamental Research Funds for the Central Universities (No.2042020kf0064).

Author information

Authors and Affiliations

Authors

Contributions

YL and TM carried out literature searches, prepared figures, did data interpretation and writing; TS did writing and editing; RP conceptualized the paper, prepared figures, did writing and editing. XX conceptualized the paper and did editing. The authors read and approved the final manuscript.

Corresponding authors

Correspondence to Xuan Xiao or Rui Peng.

Ethics declarations

Ethics approval and consent to participate

The Medical Ethics Review Committee of Renmin Hospital of Wuhan University approved this study protocol (WDRY2021-K041) and all subjects provided written informed consent. All methods were performed in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors have no competing interests to declare.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

 Supplemental Table 1. Associations among biomarkers and severity of depression.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Mei, T., Sun, T. et al. Altered circulating GDF-15 level predicts sex hormone imbalance in males with major depressive disorder. BMC Psychiatry 23, 28 (2023). https://doi.org/10.1186/s12888-023-04527-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12888-023-04527-z

Keywords