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A systematic review and meta-analysis of follicle-stimulating hormone levels among men with type 2 diabetes
Basic and Clinical Andrology volume 35, Article number: 11 (2025)
Abstract
Background
There are some studies with inconsistent results regarding the association between follicle stimulating hormone (FSH) levels and type 2 diabetes (T2DM) among men. We performed a systematic review and meta-analysis that explored the FSH levels among men with and without T2DM.
Results
Twenty studies with a total sample size of 4,208 (2167diabetic men and 2041 control) were included in this meta-analysis. The standardized mean differences (SMD) in men who had T2DM compared to control group were -0,237 (CI95%: -0,582 to 0,108; P = 0.17; I2: 95,83%; Egger's test: 0.06; Begg's test: 0.15). This finding was significant after sensitivity analysis. Among Asian studies SDM was -0,955 (CI95%: -1,630 to -0,279; p = 0.006; I2: 96.91%; Egger's test: 0.03; Begg's test: 0.01), with diabetic men had lower FSH than control group. African diabetic males the FSH levels was not different than non-diabetics (SMD: 0,386; CI95%: -0,0401 to 0,813; p = 0.07; I2: 94.26%; Egger's test: 0.31; Begg's test: 0.21). Also, among European men the FSH levels was significantly different than non-diabetics (SMD: 0,273; CI95%:0,0960 to 0,450; p = 0.003; I2: 18.41%; Egger's test: P < 0,0001; Begg's test: 0.31).
Conclusion
Our meta-analysis of the current literature suggests that serum FSH levels are significantly lower in Asian men diagnosed with T2DM compared to their non-diabetic counterparts. This finding highlights a potential association between altered FSH concentrations and the pathogenesis of T2DM. Future studies should aim to unravel these mechanistic pathways and to assess the clinical utility of FSH as a biomarker for T2DM risk assessment and management in the male population.
Résumé
Contexte
Des résultats incohérents concernant l’association entre les taux d’hormone folliculo-stimulante (FSH) et le diabète de type 2 (DT2) chez les hommes ont été rapportés entres différentes études. Nous avons réalisé une revue systématique et une méta-analyse pour explorer les niveaux de FSH chez les hommes avec et sans DT2.
Résultats
Vingt études portant sur un échantillon total de 4208 personnes (2167 hommes diabétiques et 2041 témoins) ont été incluses dans cette méta-analyse. Les différences moyennes standardisées (DMS) chez les hommes atteints de DT2 par rapport au groupe témoin étaient de -0,237 (IC95 % : -0,582 à 0,108 ; P = 0,17 ; I2 : 95,83 % ; Test d’Egger : 0,06 ; Test de Begg : 0,15). Cette constatation était significative après analyse de sensibilité.
Parmi les études asiatiques, la DMS était de -0,955 (IC95 % : -1 630 à -0,279 ; p = 0,006 ; I2 : 96,91 %; Test d’Egger : 0,03 ; Test de Begg : 0,01), chez les hommes diabétiques qui avaient une FSH plus basse que le groupe témoin. Les niveaux de FSH chez les hommes diabétiques africains n’étaient pas différents de ceux des non-diabétiques (DMS : 0,386 ; IC95 % : -0,0401 à 0,813 ; p = 0,07 ; I2 : 94,26 %; Test d’Egger : 0,31 ; Test de Begg : 0,21). De plus, chez les hommes européens, les niveaux de FSH étaient significativement différents de ceux des non-diabétiques (DMS : 0,273 ; IC95 % : 0,0960 à 0,450 ; p = 0,003 ; I2 : 18,41 %; Test d’Egger : P < 0,0001 ; Test de Begg : 0,31).
Conclusion
Cette méta-analyse de la littérature actuelle suggère que les taux sériques de FSH sont significativement plus faibles chez les hommes asiatiques diagnostiqués DT2 par rapport à leurs homologues non diabétiques. Cette découverte met en évidence une association potentielle entre les concentrations modifiées de FSH et la pathogenèse du DT2. Les études futures devraient viser à démêler ces voies mécanistes, et à évaluer l’utilité clinique de la FSH en tant que biomarqueur pour l’évaluation et la gestion du risque de DT2 dans la population masculine.
Introduction
Type 2 diabetes mellitus (T2DM) is one of the most common public health issues worldwide, causing harm to the lives of men and women [1]. It is projected that the rising trend of diabetes will grow from 537 million in 2021, to 783 million by 2045 [2]. Diabetes is more prevalent among males than females [3]. Men with diabetes are vulnerable to different cardiovascular and non-cardiovascular complications which can contribute to sexual dysfunction, including erectile dysfunction [4].
The main risk factors for diabetes included lifestyle factors, medical condition factors (obesity, hypertension, cardiovascular disease), hereditary factors (ethnicity and family history), psychological factors, aging and male gender [5]. Endogenous hormone disturbances are other factors that contribute to development of diabetes [6].
Recently, the potential association of T2DM and endogenous hormones like gonadotropins are increasingly followed with interest. There were a number of studies to investigate the associations of follicle stimulating hormone (FSH) with T2DM among males. Some studies reported that men with T2DM had lower levels of FSH compared to the control group [7,8,9,10]. Another study found that men with T2DM had higher levels of FSH than the control group [11]. While others failed to support any significant differences between FSH levels among diabetic and non-diabetic men [12,13,14]. The literature requires to be reviewed comprehensively. FSH as a trophic hormone, mainly acts on the gonads of men, but its extra-gonadal function in bones, adipose tissue, cardiovascular system and immune systems is also being revealed [15]. FSH secrete as a result of a complex interplay among the testis and hypothalamus/pituitary glands [16]. Men with elevated FSH are susceptible to abnormality in semen parameters [17]. Interestingly, FSH Therapy has been administrated for improving reproductive ability of men [18, 19]. FSH is also involved in cardiovascular related functions like protein synthesis, metabolism, angiogenesis, cell division, differentiation and growth [20]. Additionally, abnormality in FSH levels have been associated with cardio-metabolic outcomes and impairment of inflammatory and immune response [21].
There is a lack of systematic reviews and meta-analysis on the existent evidence concerning the possible association between FSH levels and T2DM among males. Given the diverse body of studies, we conducted this review to shed light on the associations between FSH levels and T2DM among males.
Methods
We followed the guidelines for Preferred Reporting Items for Systemic Reviews and Meta-Analysis statement [22].
Also, this systematic review and meta-analysis was registered with The International Prospective Register of Systematic Reviews (PROSPERO) (CRD42025634103).
Records identification
Electronic searches of studies published from inception to until January 2025 were performed on PubMed, Scopus, Web of sciences, Cochrane Library, Epistemonikos. There was a restriction on English language and no restriction on publication year. The search was performed using the relevant keywords. Supplementary Table 1 shows the search strategy.
To identify additional studies, references in the included studies were hand-searched. The selection process of articles was performed on the Endnote (version X8, Thomson Reuters, New York, NY).
This process is presented in Fig. 1.
Study selection criteria
The eligibility criteria for this study were as follows:
-
Patients (P): Men with T2DM; Exposure (E): FSH measurements; Control (C): individuals without T2DM; Study outcomes (O): T2DM; Study design (S): observational studies or baseline data of interventional studies.
The exclusion criteria were as follows: lack of controls; studies with insufficient data, abstracts, reviews, commentaries.
First, inclusion criteria were evaluated through the titles and abstracts of the studies identified in search. Then the full texts of the potentially eligible articles were assessed.
Data extraction
Data extraction was performed by the two reviewers (VGH and MSG). The extraction of data including (author, publication year, country, sample size, mean, SD) was performed by SPSS (version 22, Microsoft Corporation, Redmond, WA). Any disagreements were resolved by discussion with a third person (FRT).
Quality assessment
The quality assessment of included studies was explored using the Newcastle–Ottawa Quality Assessment Scale (NOS) for observational studies was used for [23, 24]. According to the NOS, scoring was based on the selection of subjects, comparability of study groups, and the assessment of exposure. Discrepancies were resolved by team discussion. The total score was rated from 0 to 9 points (low quality: 0–3, moderate quality: 4–6, and high quality 7–9). Any discrepancies were solved by consensus.
Statistics
All data were pooled as standardized mean difference (SMD) with 95% confidence interval (CI). Estimated effects and 95% confidence interval (CI) of all the included studies was summarized in a forest plot. The heterogeneity was assessed using the I-squared (I2) statistic. Random-effect models were applied in cases with significant heterogeneity or I2 was > 50%. The Egger's test and Begg's test were applied to evaluate publication bias. Subgroup analyses were performed to investigate the potential heterogeneity in different continents. MedCalc® Statistical Software version 22.009 was used to conduct the meta-analysis.
Results
Search results
A total of 4565 related publications were obtained from the five electronic databases. After removing 389 duplications, the titles and abstracts of the remaining articles were assessed, and 31 were selected for full-text analysis (Fig. 1).
Eleven studies were excluded due to reasons including reporting effect size for prediabetes or diabetes (combine participants), ineligible data, and unclear type of diabetes [7, 14, 25,26,27,28,29,30,31,32,33].
Finally, 20 studies that met the eligibility criteria were included in the review (sample size men with diabetes = 2167, sample size control group = 2041).
Among included studies 10/20 were performed in Asia, 8/20 in Africa and 2/20 in Europe. The characteristics of the studies included are shown in supplementary Tables 2.
Among all studies, 7 studies reported that diabetic men had higher levels of FSH [11, 34,35,36,37,38,39], 6 studies reported lower levels of FSH among diabetic men than control [8,9,10, 40,41,42], 7 of them found non-significant differences FSH [12, 43,44,45,46,47,48].
All studies had moderate to low risk of bias. The supplementary Fig. 1 shows the quality assessment results of included studies.
FSH levels among diabetic and non-diabetic men
Twenty studies reported the mean (SD) of FSH between men with and without diabetes. The pooled standard mean difference of FSH was −0,237 (CI95%:–0,582 to 0,108; P = 0.17; I2: 95,83%; Ndiabetic = 2167, Ncontrol = 2041; Egger's test: 0.06; Begg's test: 0.15), with diabetic men having lower levels of FSH than those without diabetes (Fig. 2).
After leaving out studies that performed by Thmail,et al. (2023) [9] (SMD: −0,002;CI95%:−0,268 to 0,262;P = 0.98;I2: 92,17%; Egger's test:0.23; Begg's test:0.46),Al-Fartosy,et al. (2017) [42] (SMD: −0,0575;CI95%:−0,377 to 0,262;P = 0.72;I2: 95,18%; Egger's test:0.26; Begg's test:0.34), Fabian,2016. (18) (SMD: −0,356;CI95%:−0,685 to −0,0264;P = 0.03;I2: 95,34%; Egger's test:0.005; Begg's test:0.02), and after leave out three of them at the same time (SMD: 0,0446;CI95%:−0,134 to 0,223;P = 0.62;I2: 95,34%; Egger's test:0.005; Begg's test:0.02) (Fig. 3).
Among Asian studies SDM was −0,955 (CI95%: −1,630 to −0,279; p = 0.006; I2: 96.91%; Egger's test: 0.03; Begg's test: 0.01, with diabetic men had lower FSH than control group. After leaving out studies that performed by Thmail, et al. (2023) [9], Al-Fartosy,et al. (2017) [39] (SMD: −0,0957;CI95%:−0,337 to 0,145;P = 0.43;I2: 73.67%; Egger's test:0.29; Begg's test:0.32), there were no significant diffrences (Fig. 4). While Among African diabetic males the FSH levels was not different than non-diabetics (SMD: 0,386; CI95%: −0,0401 to 0,813; p = 0.07; I2: 94.26%; Egger's test: 0.31; Begg's test: 0.21). After leave out Fabian,2016. (18) SMD: 0,136; CI95%: −0,192 to 0,464; p = 0.41; I2: 90.15%; Egger's test: 0.84; Begg's test: 0.65) also, it was not siginificant (Figs. 5). Also, among European men the FSH levels was significantly different than non-diabetics (SMD: 0,273; CI95%:0,0960 to 0,450; p = 0.003; I2: 18.41%; Egger's test: P < 0,0001; Begg's test: 0.31) (Figs. 6).
Discussion
The current meta-analysis, which included data from 20 independent investigations, provides robust evidence that serum FSH levels are lower in men diagnosed with T2DM compared to non-diabetic control individuals. When stratified by continent, our analysis revealed that Asian men with diabetic men exhibited lower FSH levels compared to non-diabetic control. In contrast, no significant differences in FSH levels were observed among African diabetic males compared to non-diabetics. Also, among European men (2 studies) the FSH levels was significantly different than non-diabetics.
Men across the midlife are predisposed to an increased risk of developing T2DM, a susceptibility influenced by a combination of biological and environmental factors [49]. Recent studies have highlighted the intricate crosstalk between gonadotropins and metabolic regulation, with FSH signaling pathways implicated in the modulation of pancreatic β-cell function and insulin sensitivity [50]. However, the precise relationship between altered FSH levels and the presence of T2DM remains incompletely understood, necessitating further investigation for a definitive explanation. Clinical investigations have reported a higher prevalence of hypogonadism and altered gonadotropin levels in men with T2DM; approximately one-quarter of men diagnosed with T2DM exhibit aberrant levels of gonadotropins and testosterone, suggesting a potential interplay between hormonal imbalances and diabetes pathophysiology [51, 52].
Gonadotropin-releasing hormone (GnRH) can also cause small alteration in parameters of carbohydrate metabolism (35). In line with this, a study showed that using GnRH among men with prostate cancer resulted in worse glycemic status (36). On the other hand, low levels of sex hormone binding globulin (SHBG) and testosterone may play a role in the pathogenesis of T2DM. The results of a study on 225 subjects showed that SHBG levels were negatively associated with fasting glycemia, but no significant correlation was observed between SHBG and fasting insulin levels (37). This association is thought to be mediated, at least in part, by the influence of glucose on SHBG synthesis in the liver. These findings are consistent with previous prospective studies reporting that higher baseline SHBG predicts a lower incidence of T2DM, potentially due to the inhibitory effects of SHBG on the bioavailability of sex steroids, which have been linked to glucose dysregulation, which supports the central role of glucose in the regulation of SHBG. In addition SHBG can also affect liver glycogenesis, which is the most important factor in fasting blood sugar regulation [53]. Complex interaction between diabetes and hypothalamus-pituitary–testicular axis can decrease acute releasable pool of pituitary gonadotropins and following that leads to the reduced LH and FSH response [14]. What is important that the medication in diabetic men can affect the gonadotropins concentration? A pilot study showed that among hypogonadal men the changes in fasting blood glucose and HOMA1-IR were more pronounced in men with normal testosterone levels and using metformin reduced the FSH and LH levels [54]. It is also proposed that male reproductive dysfunction can be induced by hyperglycemia [55].
Furthermore, there is a close link between metabolic disturbances and reproductive dysfunctions [56]. A study reported that among males with unexplained infertility the higher levels of FSH and insulin was observed [57]. Increased insulin resistance and hyperglycemia has been noted as triggering factors of infertility in men [58]. According to studies, there is a bidirectional association between hypogonadism, T2DM and metabolic syndrome. It is unclear which of them comes first [59]. It is proposed that since young men with newly diagnosed DM suffer from hypogonadism, it might act as a precursor of T2DM [51]. Results from a cross-sectional study reported that almost 15% of men with primary couple’s infertility suffered from glycemic impairment [60]. Diabetic and obese men due to the metabolic changes, inflammatory disturbance and hormonal dysfunction are at risk of subfertility [61]. Earlier systematic review supported the role of physical activity in the improvement of FSH concentration of diabetic men [62]. More than half of diabetic men experience sexual dysfunction [63]. Erectile dysfunction is approximately 3.5 times more common in men with diabetes [64]. Endocrine imbalance and abnormalities in secretion of LH and FSH is considered one of potential diabetes-induced male infertility and sexual dysfunction mechanisms [65]. Diabetes by collection of pre-testicular effect ( decrease FSH and LH level and leydig cell function), testicular effect (increases ROS, decreasing antioxidant enzymes, abnormal cell apoptosis) and post-testicular effect (Erectile dysfunction and abnormal sexual behavior) can result in abnormalities in sex hormones and sexual dysfunction [66].
Obesity represents a plausible intermediary factor linking gonadotropin levels to the pathogenesis of diabetes. Numerous studies have elucidated the intricate interplay between gonadotropins, obesity, and diabetes. It has been shown that obese men suffered from decreased levels of gonadotropins (FSH and LH) and inhibin B follicle [67, 68]. Due to the existence of aromatase activity in fat tissue, it is possible that in obese men, testosterone is converted into estradiol and this estradiol suppresses the secretion of LH and FSH [69]. The metabolic disorders are associated with several complications including hypogonadism which is related to adiposity and insulin resistance [70].
Our finding showed that diabetic men had lower levels of FSH compared to the healthy men. Among included studies, there are inconsistencies in results, which affect the pooled SMD. On the one hand, some studies found higher levels of FSH, some others reported lower levels of FSH in diabetic men; on the other hand, some of them found non-significant differences between diabetic and those without diabetes. Variation in characteristics of the population of studies in terms of biological and environmental factors might explain these inconsistencies. The results of a study showed that younger people aged 18 to 35 years with type 2 diabetes have lower levels of testosterone, LH and FSH and higher prevalence of hypogonadotropic hypogonadism compared to type 1 diabetes [71]. However, some studies reported that androgens might be a better indicator for the incidence of diabetes than gonadal hormones [44, 46]. A study not only failed to support the association of FSH and diabetes, but also the non-significant association was observed between FSH and HbA1c [44]. By contrast, two old evidence revealed that diabetic men had significantly low serum LH and FSH [7, 8]. There is also age-related alteration in circulation of FSH and when a man ages, a significant increase in FSH levels is expected [72]. So, this alteration might change the risk of metabolic disturbances. A recent study revealed that older age and higher FSH values can predict the prediabetes status among men [60].
In this study, while our findings suggest diabetes may have a more pronounced suppressive effect on FSH in Asian men, but not African men, the reasons are not fully clear. Research going beyond documenting differences to explaining them is scarce. It may be assumed that diabetes has a more pronounced suppressive effect on FSH secretion in Asian men compared to African men due to genetic, epigenetic or environmental factors that influence the HPG axis response to the diabetic state in an ethnic-specific manner. This assumption needs to be investigated in a well-designed comprehensive study including different races. The other possible explanation is that, there is racial differences and disparities in development and incidence of T2DM, differences in physical environment, health care, and social context can contribute into this important [73]. There may also be due to the differences in the severity or duration of diabetes; if Asian diabetic men in the studies had more severe or longer-standing diabetes compared to African men, this could lead to greater disruption of FSH regulation. Factors like age, body composition, lifestyle, and comorbidities were not well-matched between the ethnic groups. Differences in these variables could influence FSH independent of diabetes status and mask or exaggerate ethnic differences; these factors can affect the regulation of releasing gonadotropins like inflammation, stress, drugs, metabolism and sex-steroids [74].
Strengths and limitations
This study had some limitations and strengths that should be kept in mind. The search for databases was limited to the English language. Also, the studies mainly limited to Asia and Africa and there was lack of evidence from all other continents and the existent studies limited to a small sample size; so, the results cannot generalize to all men. The included studies were observational, unable us to explain possible cause–effect relationships. All studies rely on single FSH measurements. And, there might be variation in laboratory assessment of FSH in different studies. The majority of included studies are not population-based studies, future studies need to have long-term population-based design to investigate the association of FSH and risk of T2DM among men. Regarding the strength of this study, this is the first meta-analysis that comprehensively estimates the difference in FSH levels in men with T2DM compared to those without it.
Conclusion
Our meta-analysis indicated that FSH concentration among diabetic men was lower than those without it. However, this difference was not observed among African men. This meta-analysis recommended future studies for assessment of the utility of FSH for risk assessment of T2DM among males.
Data availability
Some or all dataset generated during the current study are not publicly available but are available from the corresponding author on reasonable request.
Abbreviations
- FSH:
-
Follicle-Stimulating Hormone
- T2DM:
-
Type 2 diabetes mellitus
- CI:
-
Confidence intervals
- SMD:
-
Standardized mean difference
- NOS:
-
Newcastle–Ottawa Quality Assessment Scale
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This study funded by the Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Grant number: 3- 43013423).
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MSG and FRT participated in design, methodology and wrote the main manuscript text. MSG and VGH contributed to the quality assessment and data extraction. All authors reviewed and approved the manuscript.
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Ramezani Tehrani, F., Ghasemi, V. & Saei Ghare Naz, M. A systematic review and meta-analysis of follicle-stimulating hormone levels among men with type 2 diabetes. Basic Clin. Androl. 35, 11 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12610-025-00257-2
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12610-025-00257-2
Keywords
- Meta-analysis
- Follicle stimulating hormone (FSH)
- Type 2 Diabetes (T2DM)
- Metabolic
- Gonadotropins
- Impaired Glucose