Skip to main content

Sexual dimorphism in mitochondrial dysfunction and diabetes mellitus: evidence from a population-based cohort study



Pathophysiological mechanisms underlying sex-based differences in diabetes remain poorly understood. Mitochondrial metabolite methylmalonic acid (MMA) accumulation reflects mitochondrial dysfunction which is involved in sex-specific pathophysiological responses biologically. We aimed to investigate the sex-specific associations between mortality risk and MMA in adults with the presence or absence of type 2 diabetes.


This cohort study included 24,164 adults (12,123 females and 12,041 males) from the NHANES study during 1999–2014. Both sexes were separately categorized as those with no diabetes, prediabetes, undiagnosed diabetes, and diagnosed diabetes. Circulating MMA level was measured at baseline by mass-spectrometric detection. Mortality status was ascertained from baseline until December 31, 2015.


During a median follow-up of 11.1 years, 3375 deaths were documented. Males had a particularly higher mortality than females in adults with diagnosed diabetes compared to differences in those with no diabetes, prediabetes and undiagnosed diabetes (sex differences in mortality rate per 1000 person-years across diabetic status: 0.62, 1.44, 5.78, and 9.77, p < 0.001). Notably, the sex-specific difference in associations between MMA and mortality was significant only in adults with diagnosed diabetes (p for interaction = 0.028), not in adults with no diabetes and prediabetes. Adjusted HRs (95%CIs) per doubling of MMA for all-cause mortality were 1.19 (1.04–1.37) in females with diagnosed diabetes versus 1.58 (1.36–1.86) in male counterparts. In addition, MMA levels had an insignificant or weak correlation with sex hormone profiles at baseline, regardless of diabetes status and sex.


Sex difference in mortality risk was especially significant in diagnosed type 2 diabetes. Increasing equivalent exposure to mitochondrial metabolite MMA was associated with a greater excess risk of future mortality in males with diabetes than in females.


Sex-based difference remains conspicuous in metabolic syndrome and diabetes. In response to overnutrition, males are more likely to have obesity, insulin resistance, and type 2 diabetes than females [1]. Addressing sex-specific differences has emerged as a priority issue in diabetes. Current guidelines underscore the significance of elucidating sexual dimorphism in preclinical and clinical studies [1,2,3]. Although sex hormones are most commonly used to interpret the sexual difference in metabolic disorders, accumulative results are controversial. For example, estrogen confers premenopausal females with favourable cardiometabolic characteristics compared to those observed in males. However, some clinical studies have found a positive association between estrogen levels and diabetes risk in females [4, 5]. Male mice with gonadectomy show improved metabolic profiles similar to female mice, while testosterone in male humans is associated with cardiometabolic benefits [4, 6]. Results concerning the benefits of sex hormone therapy in clinical trials were also inconsistent [5, 7, 8]. Overall, clinical translation of sex hormones in sex-specific management seems difficult among patients with diabetes. The identification of novel risk factors to explain and solve the sex differences in diabetic progression is still important.

Mitochondrial dysfunction is one of the most striking characteristics in the pathogenesis of diabetes and associated complications [9, 10]. Mitochondria are involved in mediating sex-specific pathophysiological responses to metabolic disorders [9, 11]. Compared to females, mitochondrial dysfunction in males is associated with increased susceptibility to obesity and insulin resistance [9]. However, clinical evidence remains scarce. Methylmalonic acid (MMA) is a mitochondrial-derived intermediate metabolite that is best known as a functional indicator for cobalamin deficiency [12]. The metabolism of MMA is highly dependent on mitochondrial enzymes methylmalonyl-CoA mutase and coenzyme cobalamin. MMA accumulation caused severe mitochondriopathy by directly inhibiting the mitochondrial respiratory chain, α-ketoglutarate dehydrogenase, and mitochondria quality control. Hence, in addition to reflecting cobalamin status, circulating MMA is also considered a surrogate marker of mitochondrial dysfunction [13,14,15,16,17]. Decreasing MMA levels have been shown to alleviate mitochondria-rich organs kidney and brain in children and animal models of inherited methylmalonic aciduria [18]. Thus, MMA may be a potentially modifiable marker reflecting mitochondrial dysfunction to explain the worsened prognosis in males with diabetes. In this study, we investigated the sex difference in mortality rate in the presence or absence of diabetes, as well as the sex-specific associations between serum levels of MMA and mortality risk.


Study design and population

National Health and Nutrition Examination Survey (NHANES) comprises complex-survey samples of a nationally representative population of noninstitutionalized U.S. civilians. NHANES study was a large prospective cohort in which participants were linked to mortality outcomes [18]. The data in NHANES were collected in each 2-year cycle since 1999. A total of 25,131 participants 18 of age or older who were eligible for MMA determination were included, because serum MMA was only measured in participants recruited in 5 study cycles (1999–2000, 2001–2002, 2003–2004, 2011–2012, and 2013–2014). After excluding participants who were pregnant (n = 886) or had missing covariates of diabetes status (n = 6), possible type 1 diabetes (aged less than 20 years with only insulin for antidiabetic treatment, n = 45)[19], or missing data for mortality status (n = 30), 24,164 adults were included for analysis.

We categorized diabetes status into four groups: previously diagnosed type 2 diabetes (i.e., diagnosis by doctors and/or the use of antidiabetic agents, n = 2535), undiagnosed diabetes (i.e., no previous diagnosis, no use of antidiabetic medication, and plasma HbA1c levels of ≥ 6.5% and/or fasting plasma glucose (FPG) of ≥ 126 mg/dL, n = 776), prediabetes (i.e., no previous diagnosis, no use of antidiabetic medication, and plasma HbA1c levels in the ranges of 5.7–6.5% and/or FPG in the ranges of 100–126 mg/dL, n = 5406), no diabetes (i.e., no previous diagnosis, no use of antidiabetic medication, HbA1c < 5.7% and FPG < 100 mg/dL, n = 15,447).

Measurement of serum methylmalonic acid

As mentioned in our previous reports [18, 19], MMA levels were measured in venous blood using gas chromatography-mass spectrophotometry (GC/MS) in participants during 1999–2004 and measured by liquid chromatography-mass spectrophotometry (LC-MS/MS) in participants during 2011–2014. High-performance GC/MS (Model 6890 GC system and Model 5973 mass selective detector, Hewlett-Packard, San Fernando, CA) was applied for MMA determination in NHANES 1999–2004. In brief, 275 µL specimens with internal standard solution supplemented by isotope-labelled methyl-d3-malonic acid (d3MMA) were extracted and subsequently derivatized with cyclohexanol to produce a dicyclohexyl ester. The chromatography was performed on a DB-5MS capillary GC column (0.25 mm x 30 m, 0.25-µm, J&W Scientific, Folsom, CA) within 15 min. The effluent part from the GC column was monitored with a mass-selective detector by the selected ion monitoring process. MMA levels were quantitated using the peak area ratios of MMA and the internal standard, isotope-labelled d3MMA. LC-MS/MS method was established for MMA detection in NHANES 2011–2014 using Thermo-Electron HPLC System and Thermo-Electron TSQ triple quadrupole mass spectrometer (Thermo Scientific, West Palm Beach, FL.). Compared to GC/MS procedures, LC-MS/MS method required less sample volume (75ul) and a shorter run time (6 min). MMA is extracted from 75 µL of sample along with an added internal standard (d3-MMA) via liquid-liquid extraction method with tert-butylmethylether. Then, the extracted organic acid is derivatized with butanol to form a dibutylester. The Hypersil Gold C18 column (2.1 mm × 50 mm, 1.9 μm particle size, Thermo Fisher Scientific) was selected because it allowed an excellent separation between MMA and succinic acid with relatively short chromatography run time and narrow analyte peaks. The butanol is evaporated under vacuum and the derivatized sample is reconstituted in acetonitrile/water (v/v 50/50). MMA was chromatographically separated from succinic acid using isocratic mobile phase (0.1% acetic acid: methanol 40:60 (v/v), 0.4 mL/min, 35 °C) within 6 min (retention time 3.47 min for SA and 4.25 min for MMA). Multiple reaction monitoring (MRM) was performed in positive electrospray ionization mode, with two transitions each for MMA (m/z 231 → 119 and 175.1) and for d3-MMA (m/z 234.1 → 122.1 and 178.1). Both methods showed excellent correlation and agreement [20]. MMA in the range of 50–2000 nmol/L has a favourable linear pattern with detectable signal intensity. Samples with MMA levels of more than 400 nmol/L were repeatedly analyzed to eliminate the detection error. The total coefficient of variation ranged from 4 to 10%, and the recovery rate was 94.0–96.0% in each study cycle. Detailed protocols and procedures have been described elsewhere [19].

Study outcomes

Participants in NHANES were linked to the National Death Index to identify vital status. The publicly used mortality data were recorded from baseline until death or December 31, 2015. The detailed protocols of the linkage and analysis guidelines for mortality data have been published by the National Center for Health Statistics [18]. Mortality attributed to heart disease was identified according to the International Classification of Diseases, 10th Revision (ICD-10), including I00-I09, I11, I13, and I20-I51.

Other variables

General characteristics at baseline, including age, sex, race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, or others), and smoking status (never, former, current) were reported by participants using standardized questionnaires [19]. Adequate physical activity was defined as at least 150–300 min/week of moderate-intensity, 75–150/week min of vigorous physical activity, or equivalent combination of moderate and vigorous physical activity. Body mass index (BMI) was calculated as weight (in kilograms) divided by height (in meters squared). Systolic/diastolic blood pressure was calculated as the mean of three eligible values. Hypertension was defined as the use of antihypertensive therapy or average blood pressure ≥ 140/90 mmHg. Chronic kidney disease (CKD) was defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration formula. Cardiovascular disease (CVD) included self-reported coronary heart disease, heart failure, or stroke. Cancer was defined as self-reported cancer or a malignant tumour diagnosed by a physician. Data concerning the duration of diabetes, antidiabetic medications, and peripheral complications in persons with diabetes (e.g., foot ulcer/sore, meroparesthesia, and retinopathy) were extracted from diabetes questionnaires. Menopause was defined as amenorrhoea longer than 12 months attributed to menopause/hysterectomy.

All assessments of biospecimens were performed in the central laboratory. Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), HbA1c, plasma glucose, and serum creatinine levels were measured according to validated laboratory methods during each study cycle. C-peptide (n = 6,726), insulin (n = 11,606), serum total testosterone (TT, n = 11,232), estradiol (n = 6,309), and sex hormone-binding globulin (SHBG, n = 5,797) levels were only measured in a subset. Free testosterone levels were estimated using the empirical free testosterone formula, as previously reported [21]. Serum cobalamin (vitamin B12) levels were measured using the commercial radioassay kit (Bio-Rad Laboratories, 1993) from 1999 to 2004 and using the automated electrochemiluminescence immunoassay (Roche, Elecsys 170) from 2011 to 2014. Both assays were calibrated to correct for changes across years according to NHANES recommendations [19].

Statistical analysis

According to the analytical guidelines of the NHANES study, clustering, strata, and sample weights were recorded to account for the complex sampling design and nationally representative estimates, unless otherwise noted [18]. Variables are expressed as weighted means (standard error, SE) and percentages. At the baseline, sex-specific characteristics were described by diabetes status. The generalized linear model was used to estimate the means of blood metabolic indicators after adjustment for age, sex, race/ethnicity, BMI, smoking, hypertension, and eGFR. The correlation coefficients between serum sex steroid hormones (total testosterone, free testosterone, estradiol, and SHBG) and MMA were estimated using the Spearman method. The correlation analysis between MMA and sex hormone profiles was repeated after adjustment for menopause status in females.

Sex-specific mortality rates across diabetes groups were estimated based on the Poisson distribution method and presented as events per 1000 person-years of follow-up. Cox proportional hazard regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the mortality risk per doubling of serum MMA (each unit increase of log2 transformed values of MMA), which were stratified by diabetes status and sex. The proportional hazards assumption was tested and fulfilled. In the multivariate analyses, model 1 was adjusted for age, and model 2 was further adjusted for race/ethnicity, smoking status, physical activity, BMI, hypertension, cancer, CVD, the ratio of TC/HDL-C, eGFR, plasma HbA1c, and cobalamin. The significance of the interaction between MMA levels and sex for mortality risk was assessed via the weighted Wald test.

Several sensitivity analyses were conducted. First, to examine the dose-response relationship between serum MMA concentrations and mortality risk by diabetes status and sex, a restricted cubic spline with four knots (5th, 35th, 65th, and 95th ) was used based on the unweighted Cox regression model with multivariate adjustment as mentioned above. Second, the analysis for adults with diagnosed diabetes was additionally adjusted for diabetes-related variables, including the duration of diabetes, diabetic complications (including diabetic limb ulcer/sore, retinopathy, and peripheral neuropathy), UACR (mg/g), metformin use, ACEI/ARB, and blood-lipid lowering drugs. We further reanalyzed participants with eligible sex hormone profiles to assess whether sex hormones modified the relationship between MMA and mortality risk in males and females, and menopausal status was considered for female participants. All tests with a 2-sided p value less than 0.05 were considered statistically significant using Stata (version 12).


Characteristics of participants according to diabetic status and sex

A total of 24,164 individuals (12,123 females and 12,041 males) were included in this study, with mean ages of 47.4 and 45.3 years for females and males, respectively. Overall, 19.8% were characterized as prediabetes, 2.4% had incident diabetes and 7.8% were previously diagnosed with diabetes. Baseline characteristics by diabetes status and sex are presented in Table 1. In both males and females, participants with prediabetes or diabetes were older, less likely to have smoking or adequate physical activity, more likely to have chronic diseases, and had higher levels of BMI, waist circumference, and eGFR compared to adults with no diabetes. Furthermore, current smoking, diabetic complications and UACR were more common in males with diagnosed diabetes, while obesity, hypertension, and CKD were more prevalent in females with diabetes than males.

Table 1 Baseline characteristics of participants by diabetes status and sex

The means of metabolism-related circulating biomarkers according to diabetic status and sex after correcting for age, race/ethnicity, BMI, smoking, hypertension, and eGFR levels are presented in Table 2. Compared to participants with no diabetes or prediabetes, those with undiagnosed or diagnosed diabetes had a higher burden of inflammation and cardiometabolic disorders in both sexes. For instance, an increase in plasma CRP, fasting glucose, insulin, C-peptide, TG, and TC/HDL-C ratio was observed (each p-trend < 0.001). Among participants with diabetes, males had higher levels of blood glucose, HOMA-IR and TC, while females had higher levels of CRP, TC and LDL-C.

Table 2 Multivariable-adjusted means of glucolipid metabolic markers by diabetes status and sex

Notably, sex-related differences in MMA metabolism were significant among participants with diabetes (Fig. 1). Circulating MMA concentrations were significantly elevated across diabetic status for both male and female sexes (p < 0.001); however, unexpectedly, females with diabetes showed higher MMA levels than males (weighted means: 227.5 versus 195.9 nmol/L, p < 0001). Serum cobalamin levels did not change significantly in males with no diabetes, prediabetes, or diabetes (p for trend = 0.154). In contrast, an increase in serum cobalamin levels was noted in females with no diabetes to those with diagnosed diabetes (p-trend < 0.001). Cobalamin levels were always lower in males than in females, regardless of diabetic status.

Fig. 1
figure 1

Circulating levels of MMA and cobalamin by diabetes status and sex

The estimates of serum cobalamin (vitamin B12) and MMA were weighted with the complex sampling design and represented as mean ± SE. p values were estimated by Student’s t-test. p-trend across diabetic status was estimated by a weighted linear regression model. a p < 0.05 for men versus women

Sexual differences in associations between MMA and mortality were significant among participants with diagnosed diabetes

Over a median follow-up of 11.1 years, 3375 deaths were documented, including 766 and 700 cardiovascular disease- and cancer-related deaths, respectively. The weighted mortality increased by five times from males and females who did not have diabetes to those who were diagnosed with diabetes (Table 3). Notably, compared to sex difference in mortality in participants with no diabetes, prediabetes or undiagnosed diabetes, the mortality rate especially increased in males with diagnosed diabetes than in females. Men-to-women differences in mortality rates from no diabetes, prediabetes, and new-diagnosed diabetes to previously diagnosed diabetes groups were 0.62, 1.44, 5.78, and 9.77, respectively.

Table 3 Sex-specific all-cause mortality risk associated with serum MMA according to diabetes status

As expected, the sex-specific associations between serum cobalamin and mortality were not noted in adults with or without diabetes. Given that MMA metabolism was influenced by ageing [22], we assessed the sex-specific association between MMA and mortality risk in age-adjusted Cox regression models. Baseline MMA was significantly associated with a higher risk of all-cause mortality in both sexes, from those who were not diagnosed with diabetes to those diagnosed with diabetes (each p ≤ 0.007, Table 3). After full adjustment for age, race/ethnicity, smoking status, physical activity, BMI, hypertension, TC/HDL-C ratio, CVD, cancer, eGFR, HbA1c and serum cobalamin, HRs (95% CIs) per doubling of MMA in females with no diabetes, prediabetes, undiagnosed diabetes and diagnosed diabetes were 1.29 (1.13–1.47), 1.49 (1.26–1.78), 1.50 (1.01–2.23) and 1.19 (1.04–1.37), respectively (Table 3). Multivariable-adjusted HRs (95% CIs) per doubling of MMA for all-cause mortality in males were 1.34 (1.19–1.52), 1.30 (1.08–1.58), 1.66 (1.12–2.51), and 1.58 (1.36–1.86), respectively. Sex-specific differences in the association between MMA levels and mortality risk were insignificant among participants with normoglycemia and prediabetes (each p for interaction ≥ 0.108), while the interaction between mitochondrial MMA and sex on mortality was significant in adults with diagnosed diabetes (p for interaction = 0.028). With each unit increase of log2-transformed MMA, mortality risk increased by 19% in females and 58% in males who had previously been diagnosed with diabetes. Similar associations were observed between serum MMA and mortality due to heart disease (Table S1).

According to the spline fitting, linear associations between MMA levels and all-cause mortality were observed in the presence or absence of diabetes. However, the slope was particularly steeper among males with diabetes than among females (Fig. 2). When adjusted additionally for diabetes-related characteristics in the weighted Cox regression model, the increased mortality risk per doubling of MMA remained higher in males with diabetes than in females (Table S2 and S3), with HRs of 1.41 versus 1.08 for all-cause mortality (p-interaction = 0.036) and 1.72 versus 1.12 for heart disease mortality (p-interaction = 0.031).

Fig. 2
figure 2

The sex-specific association of all-cause mortality with MMA levels across diabetes status

The restricted cubic spline curve showed the adjusted hazard ratios in adults with (A) no diabetes, (B) prediabetes, and (C) diabetes for all-cause mortality based on the Cox regression model (unweighted). The model was fully adjusted for age, race/ethnicity, smoking, physical activity, BMI, hypertension, cancer, CVD, TC/HDL-C ratio, eGFR, HbA1c, and serum cobalamin. The solid line represented point estimates, and the dashed lines represented 95% CIs.

Sex steroid hormones may not explain the sex-specific association between mitochondrial MMA and mortality risk in diabetes

Sex-specific differences in the pathophysiology of diabetes are traditionally attributed to sex steroid hormones. Of the 24,164 participants, 11,232 received blood tests for at least one serum steroid hormone. Serum concentrations of total and free testosterone and SHBG significantly decreased from no diabetes and prediabetes to diabetes group in both males and females (Figure S1). However, decreased levels of estradiol across diabetic statuses were observed only observed in females and not males. Age-standardized levels of estradiol in participants with normoglycemia versus diagnosed diabetes were 230.1 pmol/L versus 155.4 pmol/L for females (p < 0.001) and 101.1 pmol/L versus 107.3 pmol/L for males (p = 0.094). The correlation coefficients between sex hormone profiles and MMA levels were insignificant or weak (Table S4). The Spearman’s rho was largely similar between females with menstrual cycles and those with menopause (Table S5). When additionally adjusted for total testosterone, free testosterone, estradiol, SHBG, or both free testosterone and estradiol in multivariable-adjusted Cox regression analysis, the association between the accumulation of mitochondria-derived MMA and mortality risk remained unchanged for females or males (Table S6).


In this large prospective cohort study, sexual differences in mortality risk were especially significant among participants with diagnosed diabetes compared to those with no diabetes or prediabetes. This finding may be explained by the interactive effect between MMA and sex on future mortality among adults with diagnosed diabetes. Nonetheless, MMA-associated mortality remained changed after adjustment for sex hormones in males or females. To our knowledge, this is the first study to provide population-based evidence supporting sexual dimorphism in mitochondrial-derived metabolite and diabetic progression.

Consistent with previous reports [23], we observed that males had a significantly higher risk of all-cause and cardiac mortality than females with or without diabetes. Males with type 2 diabetes were associated with a higher risk of micro- and macro-vascular complications than females with diabetes [24,25,26]. These findings support the hypothesis of cardioprotective effects associated with the female sex during diabetes progression [26]. Although the absolute incidence of adverse outcomes was higher in males with diabetes, some studies observed that diabetes was associated with an increased relative risk of cardiovascular events in females compared to that in males [27,28,29]. This finding may be attributed to worse cardiometabolic profiles and cardiovascular disease burden, less use of prescription medications, and poor medication adherence [26, 29]. Our study also observed higher BMI levels in females than males with diabetes. We did not focus on sex differences in the relative risk of mortality increased by diabetes but sought to investigate the mechanism concerning the higher mortality rate in males with diabetes from the perspective of mitochondrial metabolite.

Although MMA was a traditional indicator of cobalamin deficiency, our previous studies only observed a moderate correlation between circulating MMA and cobalamin (r = 0.3). We recently found that serum MMA, but not serum cobalamin or dietary cobalamin intake, was significantly associated with mortality risk in patients with diabetes [19]. Moreover, half of diabetic patients with MMA accumulation did not have cobalamin deficiency [19]. Functional cobalamin deficiency was used to describe a condition in which both MMA and B12 are elevated. Although the specific mechanism is unclear, more attention should be paid to mitochondrial MMA metabolism itself for MMA increase in addition to cobalamin deficiency. Numerous studies demonstrated that MMA was a surrogate biomarker of mitochondrial dysfunction in humans and animals [13,14,15,16, 30,31,32], which was more stable than mitochondrial oxidative products as a biomarker for mitochondria status [18]. Mitochondria have been considered the key regulatory centres located at the crossroads of complex cellular processes with myriad biochemical roles [33]. Our previous reports demonstrated the critical role of mitochondrial impairment in the pathology of diabetic cardiomyopathy [10, 34]. Our results supported the sexual dimorphism in mitochondrial pathophysiology which was well-established in animals with diabetes; however, clinical evidence remains scarce [1]. Although cobalamin deficiency, ageing, and renal dysfunction were the risk factors of MMA accumulation, this study demonstrated a robust association between MMA and cardiovascular mortality independent of age, serum cobalamin and eGFR levels [18, 19]. Ageing, cobalamin deficiency and renal dysfunction cannot explain this link. MMA accumulation may directly cause mitochondrial dysfunction in the cardiovascular system and adverse outcomes. Other reports from the NHANES study reported nonsignificant sex differences in multivariate-adjusted serum MMA concentration [35]. In our study, females with diabetes seemed to have moderately higher MMA levels than males with diabetes. This seemingly contradictory difference may be explained by the fact that females are more likely to be elder or have obesity hypertension, cardiovascular disease, and chronic kidney disease than males with diabetes. Notably, mortality risks increased by 58% in males with diabetes but only 19% in females with diabetes per each one-unit increase in log2-transformed MMA after adjustment for age eGFR and serum cobalamin.

Sexual dimorphism in mitochondrial biology and metabolic disorders has been identified in animals [9, 36, 37]. Males with mitochondrial dysfunction are specifically susceptible to obesity-related insulin resistance and metabolic dysregulation [9, 38]. Under conditions involving stress, female animals present more functional mitochondria than males [36]. A multi-omics analysis observed a downregulated metabolism involving the conversion of MMA-CoA to succinyl-CoA in obese subjects compared to that in lean subjects, suggesting an association between adiposity-related mitochondrial dysfunction and MMA accumulation [9, 39, 40]. Frode and colleagues systematically validated the sex difference in the oxidative function of isolated mitochondria in mice, which suggested a hub role of mitochondria in sexual differences and cardiometabolic disorders [9]. Our findings further provided population-based evidence showing that there was a sexual dimorphism between mitochondrial dysfunction, which was assessed by MMA accumulation, and the long-term mortality risk among adults with diabetes. For the general population with MMA accumulation with cobalamin deficiency, cobalamin supplementation remains preferred. Liver transplantation, Mmut gene transfection (to promote MMA metabolism), and a protein-restricted diet (to reduce MMA sources) have been shown to alleviate damage to mitochondria-rich organs in children and animal models of inherited methylmalonic aciduria [18]. Mitochondria may be a promising target of sex-specific biology and management in diabetes.

Gonadal hormones, the most common reason to explain the sexual discrepancy, may not completely account for the sexual dimorphism in mitochondrial traits [1]. Estrogens are generally considered to facilitate mitochondrial homeostasis, whereas the conclusions on testosterone in mitochondrial biology remain controversial [9, 38]. Pitteloud et al. found that low serum testosterone levels are associated with impaired mitochondrial function and insulin resistance in the skeletal muscle of 60 males [41]. Notably, reverse causality should be noted, because diabetes and mitochondrial dysfunction accelerate biological ageing that also mediates a decrease in testosterone levels [42]. Additionally, an increased risk of metabolic disorder and cardiovascular death has been observed in adults with sex steroid treatment [5, 8]. Thus, clinical translation of targeting the sex hormone axis for sex-based management of diabetes seemed unlikely. We did not observe the confounding effect of steroid hormones on the relationship between mitochondrial MMA and mortality in males or females. sex chromosomes regulating mitochondrial function independently of sex hormones, as well as the role of sex-related external factors, such as lifestyle, environmental exposure and dietary pattern, may not be ignored according to previous reports [38, 43]. The correlation between sex hormone profiles and MMA was also weak or insignificant. Overall, the metabolism of mitochondrial MMA as a target may contribute to new insights into the sex-specific management of diabetes.

Strengths and limitations

The strengths of this study include data from a nationally representative sample that was collected via well-designed and validated protocols, which facilitate the generalization and reproducibility of our findings. Several limitations should be considered. First, both MMA and cobalamin levels were determined between 1999 and 2004 and 2011–2014 using two different assays. This may be of limited concern because previous studies demonstrated the comparability of those methods. Second, Although the link between MMA and mitochondrial dysfunction and structural abnormalities has been confirmed by pathological studies in humans, a single biomarker is insufficient to comprehensively assess mitochondrial status. Mitochondria were considered the key regulatory pivot located at the crossroads of complex cellular processes with myriad biochemical roles. A panel comprising indicators reflective of multidimensional mitochondrial performances (e.g., muscle biopsy, circulating mtDNA, and proteins and metabolites associated with mitochondrial metabolism) is a better approach in further studies. Third, sex hormone measurements in NHANES were limited to a subset of the population. Hence, we could not comprehensively estimate the influence of androgens and estrogens on the sex-based association between mitochondria and mortality risk in diabetes. However, the relationship between MMA and mortality remained unchanged in males and females after further adjustment for sex hormones. Fourth, transgenders account for approximately 0.6% of the U.S. population [43]. Potential transgender participants in NHANES may not strictly distinguish between gender and sex in the demographic questionnaire, but this tends to bias the sex-specific difference toward the null.


Sexual differences in mortality risk were especially significant among adults with diagnosed diabetes compared to participants with no diabetes or prediabetes. Moreover, we found that increased mortality risk associated with mitochondrial metabolite MMA was significantly higher in males with diabetes than in females, indicating that mitochondrial MMA was a modifiable marker in known sexual dimorphism in diabetes. Our findings recommended further investigation of the biological mechanisms of mitochondria-derived metabolite MMA in sex dimorphism.

Data availability

The datasets of NHANES are available on reasonable request from the website



Chronic kidney disease


Chronic Kidney Disease Epidemiology Collaboration


Cardiovascular disease


Empirical free testosterone


Fasting plasma glucose


Gas chromatography-mass spectrophotometry


High-density lipoprotein cholesterol


Hazard ratios


International Classification of Diseases,10th Revision


Liquid chromatography-tandem mass spectrophotometry


Metabolite methylmalonic acid


National Health and Nutrition Examination Survey


Sex hormone–binding globulin


Total cholesterol


Total testosterone


  1. Tramunt B, Smati S, Grandgeorge N, et al. Sex differences in metabolic regulation and diabetes susceptibility. Diabetologia. 2020;63:453–61.

    Article  PubMed  Google Scholar 

  2. Mauvais-Jarvis F, Arnold AP. Reue K A Guide for the design of pre-clinical studies on sex differences in metabolism. Cell Metab. 2017;25:1216–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Rich-Edwards JW, Kaiser UB, Chen GL, et al. Sex and gender differences Research Design for Basic, Clinical, and Population Studies: essentials for investigators. Endocr Rev. 2018;39:424–39.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ding EL, Song Y, Malik VS, et al. Sex differences of endogenous sex hormones and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2006;295:1288–99.

    Article  CAS  PubMed  Google Scholar 

  5. Muka T, Nano J, Jaspers L, et al. Associations of Steroid Sex Hormones and Sex hormone-binding globulin with the risk of type 2 diabetes in women: a Population-Based Cohort Study and Meta-analysis. Diabetes. 2017;66:577–86.

    Article  CAS  PubMed  Google Scholar 

  6. Gerdts E, Regitz-Zagrosek V. Sex differences in cardiometabolic disorders. Nat Med. 2019;25:1657–66.

    Article  CAS  PubMed  Google Scholar 

  7. Kautzky-Willer A, Harreiter J, Pacini G. Sex and gender differences in risk, pathophysiology and complications of type 2 diabetes Mellitus. Endocr Rev. 2016;37:278–316.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Connelly PJ, Marie FE, Perry C, et al. Gender-affirming hormone therapy, Vascular Health and Cardiovascular Disease in Transgender adults. Hypertension. 2019;74:1266–74.

    Article  CAS  PubMed  Google Scholar 

  9. Norheim F, Hasin-Brumshtein Y, Vergnes L, et al. Gene-by-sex interactions in mitochondrial functions and cardio-metabolic traits. Cell Metab. 2019;29:932–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wang S, Zhao Z, Fan Y, et al. Mst1 inhibits Sirt3 expression and contributes to diabetic cardiomyopathy through inhibiting parkin-dependent mitophagy. Biochim Biophys Acta Mol Basis Dis. 2019;1865:1905–14.

    Article  CAS  PubMed  Google Scholar 

  11. Asmis R, Giordano-Mooga S. Sexual dimorphisms in redox biology. Redox Biol. 2020;31:101533.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Green R, Allen LH, Bjørke-Monsen A, et al. Vitamin B12 deficiency. Nat Reviews Disease Primers. 2017;3:17040.

    Article  PubMed  Google Scholar 

  13. Stepien KM, Heaton R, Rankin S et al. Evidence of oxidative stress and secondary mitochondrial dysfunction in metabolic and non-metabolic Disorders. J Clin Med 2017;6.

  14. Melo DR, Mirandola SR, Assuncao NA, et al. Methylmalonate impairs mitochondrial respiration supported by NADH-linked substrates: involvement of mitochondrial glutamate metabolism. J Neurosci Res. 2012;90:1190–9.

    Article  CAS  PubMed  Google Scholar 

  15. Luciani A, Schumann A, Berquez M, et al. Impaired mitophagy links mitochondrial disease to epithelial stress in methylmalonyl-CoA mutase deficiency. Nat Commun. 2020;11:970.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Li A, Du M, Chen Y, et al. Periodontitis and cognitive impairment in older adults: the mediating role of mitochondrial dysfunction. J Periodontol. 2022;93:1302–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Dhar I, Lysne V, Ulvik A et al. Plasma methylmalonic acid predicts risk of acute myocardial infarction and mortality in patients with coronary heart disease: a prospective 2-cohort study. J Intern Med 2023.

  18. Wang S, Liu Y, Liu J, et al. Mitochondria-derived methylmalonic acid, a surrogate biomarker of mitochondrial dysfunction and oxidative stress, predicts all-cause and cardiovascular mortality in the general population. Redox Biol. 2020;37:101741.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Wang S, Wang Y, Wan X, et al. Cobalamin Intake and related biomarkers: Examining Associations with mortality risk among adults with type 2 diabetes in NHANES. Diabetes Care. 2022;45:276–84.

    Article  CAS  PubMed  Google Scholar 

  20. Mineva EM, Zhang M, Rabinowitz DJ, et al. An LC-MS/MS method for serum methylmalonic acid suitable for monitoring vitamin B12 status in population surveys. Anal Bioanal Chem. 2015;407:2955–64.

    Article  CAS  PubMed  Google Scholar 

  21. Han YY, Forno E, Celedon JC. Sex steroid hormones and asthma in a nationwide study of U.S. adults. Am J Respir Crit Care Med. 2020;201:158–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Gomes AP, Ilter D, Low V, et al. Age-induced accumulation of methylmalonic acid promotes tumour progression. Nature. 2020;585:283–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Cho NH, Shaw JE, Karuranga S, et al. IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81.

    Article  CAS  PubMed  Google Scholar 

  24. Singh SS, Roeters-van LJ, Lemmers R, et al. Sex difference in the incidence of microvascular complications in patients with type 2 diabetes mellitus: a prospective cohort study. Acta Diabetol. 2020;57:725–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. de Jong M, Woodward M, Peters S, Diabetes. Glycated hemoglobin, and the risk of myocardial infarction in women and men: a prospective cohort study of the UK Biobank. Diabetes Care. 2020;43:2050–9.

    Article  PubMed  Google Scholar 

  26. Alfredsson J, Green JB, Stevens SR, et al. Sex differences in management and outcomes of patients with type 2 diabetes and cardiovascular disease: a report from TECOS. Diabetes Obes Metab. 2018;20:2379–88.

    Article  PubMed  Google Scholar 

  27. Malmborg M, Schmiegelow M, Norgaard CH, et al. Does type 2 diabetes confer higher relative rates of cardiovascular events in women compared with men? Eur Heart J. 2020;41:1346–53.

    Article  PubMed  Google Scholar 

  28. Ohkuma T, Komorita Y, Peters S, et al. Diabetes as a risk factor for heart failure in women and men: a systematic review and meta-analysis of 47 cohorts including 12 million individuals. Diabetologia. 2019;62:1550–60.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Wang Y, O’Neil A, Jiao Y, et al. Sex differences in the association between diabetes and risk of cardiovascular disease, cancer, and all-cause and cause-specific mortality: a systematic review and meta-analysis of 5,162,654 participants. Bmc Med. 2019;17:136.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Liu Y, Wang S, Zhang X, et al. The regulation and characterization of mitochondrial-derived methylmalonic acid in mitochondrial dysfunction and oxidative stress: from Basic Research to Clinical Practice. Oxid Med Cell Longev. 2022;2022:7043883.

    PubMed  PubMed Central  Google Scholar 

  31. Luciani A, Devuyst O. Methylmalonyl acidemia: from mitochondrial metabolism to defective mitophagy and disease. Autophagy. 2020;16:1159–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Keller SA, Luciani A. Mitochondrial Distress in Methylmalonic Acidemia: Novel Pathogenic Insights and Therapeutic Perspectives. Cells 2022;11.

  33. Galvan DL, Green NH. Danesh FR the hallmarks of mitochondrial dysfunction in chronic kidney disease. Kidney Int. 2017;92:1051–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Zhang M, Zhang L, Hu J, et al. MST1 coordinately regulates autophagy and apoptosis in diabetic cardiomyopathy in mice. Diabetologia. 2016;59:2435–47.

    Article  CAS  PubMed  Google Scholar 

  35. Ganji V, Kafai MR. Population Reference values for serum methylmalonic acid concentrations and its relationship with age, sex, Race-Ethnicity, supplement use, kidney function and serum vitamin B12 in the post-folic acid fortification period. Nutrients 2018;10.

  36. Capllonch-Amer G, Llado I, Proenza AM, et al. Opposite effects of 17-beta estradiol and testosterone on mitochondrial biogenesis and adiponectin synthesis in white adipocytes. J Mol Endocrinol. 2014;52:203–14.

    Article  CAS  PubMed  Google Scholar 

  37. Di Florio DN, Sin J, Coronado MJ, et al. Sex differences in inflammation, redox biology, mitochondria and autoimmunity. Redox Biol. 2020;31:101482.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Xu Y, Bassi G, Mishra S. Prohibitin: a prime candidate for a pleiotropic effector that mediates sex differences in obesity, insulin resistance, and metabolic dysregulation. Biol Sex Differ. 2019;10:25.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Newgard CB, An J, Bain JR, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9:311–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Mardinoglu A, Agren R, Kampf C, et al. Integration of clinical data with a genome-scale metabolic model of the human adipocyte. Mol Syst Biol. 2013;9:649.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Pitteloud N, Mootha VK, Dwyer AA, et al. Relationship between testosterone levels, insulin sensitivity, and mitochondrial function in men. Diabetes Care. 2005;28:1636–42.

    Article  CAS  PubMed  Google Scholar 

  42. Gagliano-Juca T, Basaria S. Testosterone replacement therapy and cardiovascular risk. Nat Rev Cardiol. 2019;16:555–74.

    Article  PubMed  Google Scholar 

  43. Huebschmann AG, Huxley RR, Kohrt WM, et al. Sex differences in the burden of type 2 diabetes and cardiovascular risk across the life course. Diabetologia. 2019;62:1761–72.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors thank the participants and investigators in NHANES study.


SW was supported by National Natural Science Foundation of China (No. 82200396) and Innovation project of Harbin Medical University (2022-KYYWF-0281). SF was supported by National Natural Science Foundation of China (No. 82170262 and 81870353). ME was supported by National Natural Science Foundation of China (No. 82072027). The study funders were not involved in the design of the study.

Author information

Authors and Affiliations



All authors had substantial contributions to this study. SW conceived the study. JG, ME and SF developed the protocols. YW, JG, YL and XL organized the data. WT and YZ analyzed and visualized the results. SW and SF wrote the manuscript. All authors reviewed and edited the manuscript, and approved the final version. ME and SF are guarantors for supervising the integrity and accuracy of this work.

Corresponding authors

Correspondence to Mingyan E. or Shaohong Fang.

Ethics declarations

Ethics approval and consent to participate

The protocols of NHANES were approved by the ethics review board of the National Centre for Health Statistics. All participants provided informed consent.(

Consent for publication

All authors approved the publication.

Competing interests

Not applicable.

Additional information

Publisher’s Note

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

Shanjie Wang and JunChen Guo Contributed equally to this article.

Electronic supplementary material

Below is the link to the electronic supplementary material.


Figure S1. Standardized levels of Serum Sex Hormones and SHBG by sex and diabetes status. Table S1. HRs for heart-specific mortality per each unit increase in log2-transformed MMA among adults with diabetes. Table S2. Diabetes-related variables at basline by sex. Table S3. The HRs for all-cause and heart-specific mortality per each unit increase in log2-transformed MMA after additional adjustment for diabetes-related variables. Table S4. Correlations of methylmalonic acid with serum sex hormones and SHBG by sex and diabetes status. Table S5. Spearman's rho between methylmalonic acid and sex hormones in females by menopause status. Table S6. Sex-specific HRs for the relationship between MMA and mortality after adjustment for sex hormones.

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 The Creative Commons Public Domain Dedication waiver ( 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

Wang, S., Guo, J., Liu, X. et al. Sexual dimorphism in mitochondrial dysfunction and diabetes mellitus: evidence from a population-based cohort study. Diabetol Metab Syndr 15, 114 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Gender/Sex
  • Mitochondria
  • Methylmalonic acid
  • Cobalamin
  • Cardiometabolism
  • Mortality