scholarly journals Free testosterone and cardiometabolic parameters in men: comparison of algorithms

2021 ◽  
Author(s):  
Stine A. Holmboe ◽  
Ravi Jasuja ◽  
Brian Lawney ◽  
Lærke Priskorn ◽  
Niels Joergensen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Free Testosterone ◽  
Population Based ◽  
Total Testosterone ◽  
Binding Model ◽  
Free Androgen Index ◽  
Increased Risk

Objective. Calculating the free testosterone level has gained increasing interest and different indirect algorithms have been suggested. The objective was to compare free androgen index (FAI), free testosterone estimated using the linear binding model (Vermeulen: cFTV) and the binding framework accounting for allosterically coupled SHBG monomers (Zakharov: cFTZ) in relation to cardiometabolic conditions. Design. A prospective cohort study including 5,350 men, aged 30-70 years, participating in population-based surveys (MONICA I–III and Inter99) from 1982-2001 and followed until December 2012 with baseline and follow-up information on cardiometabolic parameters and vital status. Results. Using age-standardized hormone levels, FAI was higher among men with baseline cardiometabolic conditions, whereas cFTV and cFTZ levels were lower compared to men without these conditions as also seen for total testosterone. Men in highest quartiles of cFTV or cFTZ had lower risk of developing type 2 diabetes (cFTV: HR=0.74 (0.49-1.10), cFTZ: HR=0.59 (0.39-0.91)) than men in lowest quartile. In contrast, men with highest levels of FAI had a 74% (1.17-2.59) increased risk of developing type 2 diabetes compared to men in lowest quartile. Conclusion. The association of estimated free testosterone and the studied outcomes differ depending on algorithm used. cFTV and cFTZ showed similar associations to baseline and long-term cardiometabolic parameters. In contrast, an empiric ratio, FAI, showed opposite associations to several of the examined parameters and may reflect limited clinical utility.

scholarly journals SAT-045 Free Testosterone and Cardiometabolic Parameters in Adult Men - Comparison of Algorithms for Calculation of Serum Free Testosterone

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Stine Agergaard Holmboe ◽  
Ravi Jasuja ◽  
Laerke Priskorn ◽  
Niels Jørgensen ◽  
Anders Juul ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Free Testosterone ◽  
Total Testosterone ◽  
Inverse Association ◽  
Serum Free ◽  
Relative Standard ◽  
All Cause Mortality

Abstract Context. Determining the free or bioavailable testosterone level has gained increasing interest over the years and different indirect algorithms have been suggested. Objective. To compare commonly used algorithms of calculation of serum free testosterone, specifically free androgen index (FAI), free testosterone estimated using the Vermeulen algorithm (cFTV) and the Zakharov algorithm (cFTZ) as well as total testosterone in relation to baseline and long-term cardiometabolic conditions. Design. A prospective cohort study of men participating in four independent population-based surveys (MONICA I-III and Inter99) from 1982 to 2001 and followed until December 2012 with baseline and follow-up information on cardiometabolic parameters. Setting and Participants. 5350 randomly selected men from the general population aged 30, 40, 50, 60, or 70 years at baseline participated. Main Outcome Measures. Baseline cardiometabolic parameters and follow-up information on type 2 diabetes, ischemic heart disease, cardiovascular disease mortality, and all-cause mortality. Results. Free testosterone levels calculated according to the two algorithms differed systematically but however correlated well (cFTV vs. cFTZ: r=0.9, p<0.01) and the relative standard deviations ranged from 37% to 41%. In general, men having cardiometabolic conditions at baseline had lower absolute levels of FAI, cFTV and cFTZ. However, when age-standardizing the hormone levels, FAI levels were higher in this group of men whereas cFTV and cFTZ remained lower compared to men without these conditions. The associations seen for cFTV and cFTZ were in line with the association seen for total testosterone. Cox proportional hazard models revealed that men in the highest quartiles of cFTV or cFTZ had lower risk of developing type 2 diabetes (cFTV: HR=0.74 (0.49-1.10), cFTZ: HR=0.59 (0.39-0.91)) than men in the lowest quartile. In contrast, men with highest levels of FAI had a 74% increased risk of developing type 2 diabetes compared to men in the lowest quartile (HR=1.74, 95% CI:1.17-2.59). In relation to all-cause mortality, FAI showed the strongest inverse association followed by cFTV, whereas cFTZ and total testosterone did not show any association. Conclusion. Free testosterone estimated by the Vermeulen and Zakharov algorithms differed systematically. However, the computed values correlated well and showed similar associations to baseline and long-term cardiometabolic parameters; albeit with subtle differences. In contrast, an empiric ratio, FAI showed opposite associations to several of the examined parameters and may reflect limited clinical utility.

scholarly journals Long-term BMI change trajectories in Chinese adults and its association with the hazard of type 2 diabetes: evidence from a 20-year China Health and Nutrition Survey

2020 ◽  
Vol 8 (1) ◽  
pp. e000879
Author(s):  
Baibing Mi ◽  
Chenlu Wu ◽  
Xiangyu Gao ◽  
Wentao Wu ◽  
Jiaoyang Du ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Latent Class ◽  
Chinese Adults ◽  
Change Trajectories ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Increased Risk

IntroductionTo investigate the relationship between long-term change trajectory in body mass index (BMI) and the hazard of type 2 diabetes among Chinese adults.Research design and methodsData were obtained from the China Health and Nutrition Survey (CHNS). Type 2 diabetes was reported by participants themselves in each survey wave. The duration of follow-up was defined as the period from the first visit to the first time self-reported type 2 diabetes, death, or other loss to follow-up from CHNS. The patterns of change trajectories in BMI were derived by latent class trajectory analysis method. The Fine and Gray regression model was used to estimate HRs with corresponding 95% CIs for type 2 diabetes.ResultsFour patterns of the trajectories of change in BMI were identified among Chinese adults, 42.7% of participants had stable BMI change, 40.8% for moderate BMI gain, 8.9% for substantial BMI gain and 7.7% for weight loss. During the follow-up with mean 11.2 years (158 637 person-years contributed by 14 185 participants), 498 people with type 2 diabetes (3.7%) occurred. Risk of type 2 diabetes was increased by 47% among people who gained BMI more substantially and rapidly (HR: 1.47, 95% CI 1.08 to 2.02, p=0.016) and increased by 20% among those in people with the moderate BMI gain (HR: 1.20, 95% CI 0.98 to 1.48, p=0.078), compared with those with stable BMI change.ConclusionsLong-term substantial gain of BMI was significantly associated with an increased risk of type 2 diabetes in the Chinese adults.

scholarly journals Purine Metabolites and Carnitine Biosynthesis Intermediates Are Biomarkers for Incident Type 2 Diabetes

2019 ◽  
Vol 104 (10) ◽  
pp. 4921-4930 ◽  
Author(s):  
Filip Ottosson ◽  
Einar Smith ◽  
Widet Gallo ◽  
Céline Fernandez ◽  
Olle Melander
Keyword(s):  
Type 2 Diabetes ◽  
Beta Carotene ◽  
Population Based ◽  
Functional Connection ◽  
Incident Type ◽  
Increased Risk ◽  
Incident Type 2 Diabetes ◽  
Study Participants

Abstract Context Metabolomics has the potential to generate biomarkers that can facilitate understanding relevant pathways in the pathophysiology of type 2 diabetes (T2DM). Methods Nontargeted metabolomics was performed, via liquid chromatography–mass spectrometry, in a discovery case-cohort study from the Malmö Preventive Project (MPP), which consisted of 698 metabolically healthy participants, of whom 202 developed T2DM within a follow-up time of 6.3 years. Metabolites that were significantly associated with T2DM were replicated in the population-based Malmö Diet and Cancer–Cardiovascular Cohort (MDC-CC) (N = 3423), of whom 402 participants developed T2DM within a follow-up time of 18.2 years. Results Using nontargeted metabolomics, we observed alterations in nine metabolite classes to be related to incident T2DM, including 11 identified metabolites. N2,N2-dimethylguanosine (DMGU) (OR = 1.94; P = 4.9e-10; 95% CI, 1.57 to 2.39) was the metabolite most strongly associated with an increased risk, and beta-carotene (OR = 0.60; P = 1.8e-4; 95% CI, 0.45 to 0.78) was the metabolite most strongly associated with a decreased risk. Identified T2DM-associated metabolites were replicated in MDC-CC. Four metabolites were significantly associated with incident T2DM in both the MPP and the replication cohort MDC-CC, after adjustments for traditional diabetes risk factors. These included associations between three metabolites, DMGU, 7-methylguanine (7MG), and 3-hydroxytrimethyllysine (HTML), and incident T2DM. Conclusions We used nontargeted metabolomics in two Swedish prospective cohorts comprising >4000 study participants and identified independent, replicable associations between three metabolites, DMGU, 7MG, and HTML, and future risk of T2DM. These findings warrant additional studies to investigate a potential functional connection between these metabolites and the onset of T2DM.

scholarly journals Plasma Metabolites Associate with All-Cause Mortality in Individuals with Type 2 Diabetes

Metabolites ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 315
Author(s):  
Filip Ottosson ◽  
Einar Smith ◽  
Céline Fernandez ◽  
Olle Melander
Keyword(s):  
Type 2 Diabetes ◽  
Premature Mortality ◽  
Population Based ◽  
Plasma Metabolites ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Prospective Cohorts ◽  
Diet And Cancer

Alterations in the human metabolome occur years before clinical manifestation of type 2 diabetes (T2DM). By contrast, there is little knowledge of how metabolite alterations in individuals with diabetes relate to risk of diabetes complications and premature mortality. Metabolite profiling was performed using liquid chromatography-mass spectrometry in 743 participants with T2DM from the population-based prospective cohorts The Malmö Diet and Cancer-Cardiovascular Cohort (MDC-CC) and The Malmö Preventive Project (MPP). During follow-up, a total of 175 new-onset cases of cardiovascular disease (CVD) and 298 deaths occurred. Cox regressions were used to relate baseline levels of plasma metabolites to incident CVD and all-cause mortality. A total of 11 metabolites were significantly (false discovery rate (fdr) <0.05) associated with all-cause mortality. Acisoga, acylcarnitine C10:3, dimethylguanidino valerate, homocitrulline, N2,N2-dimethylguanosine, 1-methyladenosine and urobilin were associated with an increased risk, while hippurate, lysine, threonine and tryptophan were associated with a decreased risk. Ten out of 11 metabolites remained significantly associated after adjustments for cardiometabolic risk factors. The associations between metabolite levels and incident CVD were not as strong as for all-cause mortality, although 11 metabolites were nominally significant (p < 0.05). Further examination of the mortality-related metabolites may shed more light on the pathophysiology linking diabetes to premature mortality.

Long-Term Use of Long-Acting Insulin Analogs and Breast Cancer Incidence in Women With Type 2 Diabetes

2017 ◽  
Vol 35 (32) ◽  
pp. 3647-3653 ◽  
Author(s):  
Jennifer W. Wu ◽  
Laurent Azoulay ◽  
Agnieszka Majdan ◽  
Jean-François Boivin ◽  
Michael Pollak ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Type 2 Diabetes ◽  
Insulin Analogs ◽  
Acting Insulin ◽  
Increased Risk ◽  
Long Acting ◽  
Incident Breast Cancer

Purpose The association between long-acting insulin analogs and increased breast cancer risk is uncertain, particularly with the short follow-up in previous studies. We assessed this risk long term in women with type 2 diabetes. Methods A population-based cohort of women 40 years or older, all of whom were treated with long-acting (glargine, detemir) or neutral protamine Hagedorn (NPH) insulin between 2002 and 2012, was formed using the United Kingdom’s Clinical Practice Research Datalink. Women were followed until February 2015 or breast cancer diagnosis. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) and 95% CIs of incident breast cancer, comparing long-acting insulin analogs with NPH overall, as well as by duration and cumulative dose. Results The cohort included 22,395 women who received insulin treatment, with 321 incident breast cancer events occurring during up to 12 years of follow-up (incidence rate 3.3 per 1,000 person-years). Compared with NPH insulin, insulin glargine was associated with an increased risk of breast cancer (HR, 1.44; 95% CI, 1.11 to 1.85), mainly increasing 5 years after glargine initiation (HR, 2.23; 95% CI, 1.32 to 3.77) and after > 30 prescriptions (HR, 2.29; 95% CI, 1.26 to 4.16). The risk was particularly elevated among prior insulin users (HR, 1.53; 95% CI, 1.10 to 2.12) but not for new users, which included fewer patients and for which one cannot rule out an HR of 1.81. The risk associated with insulin detemir was not significantly elevated (HR, 1.17; 95% CI, 0.77 to 1.77). Conclusion Long-term use of insulin glargine is associated with an increased risk of breast cancer in women with type 2 diabetes. The risk associated with insulin detemir remains uncertain because there are fewer users of this insulin.

scholarly journals Does Sitagliptin Affect the Rate of Osteoporotic Fractures in Type 2 Diabetes? Population-Based Cohort Study

2016 ◽  
Vol 101 (5) ◽  
pp. 1963-1969 ◽  
Author(s):  
Sumit R. Majumdar ◽  
Robert G. Josse ◽  
Mu Lin ◽  
Dean T. Eurich
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Fracture Risk ◽  
Large Population ◽  
Osteoporotic Fractures ◽  
Population Based ◽  
Increased Risk ◽  
Multivariable Analyses

Abstract Context: Type 2 diabetes and osteoporosis are both common, chronic, and increase with age, whereas type 2 diabetes is also a risk factor for major osteoporotic fractures (MOFs). However, different treatments for type 2 diabetes can affect fracture risk differently, with metaanalyses showing some agents increase risk (eg, thiazolidinediones) and some reduce risk (eg, sitagliptin). Objective: To determine the independent association between new use of sitagliptin and MOF in a large population-based cohort study. Design, Setting, and Subjects: A sitagliptin new user study design employing a nationally representative Unites States claims database of 72 738 insured patients with type 2 diabetes. We used 90-day time-varying sitagliptin exposure windows and controlled confounding by using multivariable analyses that adjusted for clinical data, comorbidities, and time-updated propensity scores. Main Outcomes: We compared the incidence of MOF (hip, clinical spine, proximal humerus, distal radius) in new users of sitagliptin vs nonusers over a median 2.2 years follow-up. Results: At baseline, the median age was 52 years, 54% were men, and median A1c was 7.5%. There were 8894 new users of sitagliptin and 63 834 nonusers with a total 181 139 person-years of follow-up. There were 741 MOF (79 hip fractures), with 53 fractures (4.8 per 1000 person-years) among new users of sitagliptin vs 688 fractures (4.0 per 1000 person-years) among nonusers (P = .3 for difference). In multivariable analyses, sitagliptin was not associated with fracture (adjusted hazard ratio 1.1, 95% confidence interval 0.8–1.4; P = .7), although insulin (P &lt; .001), sulfonylureas (P &lt; .008), and thiazolidinedione (P = .019) were each independently associated with increased fracture risk. Conclusions: Even in a young population with type 2 diabetes, osteoporotic fractures were not uncommon. New use of sitagliptin was not associated with fracture, but other commonly used second-line agents for type 2 diabetes were associated with increased risk. These data should be considered when making treatment decisions for those with type 2 diabetes at particularly high risk of fractures.

scholarly journals IGF-I gene promoter polymorphism is a predictor of survival after myocardial infarction in patients with type 2 diabetes

2006 ◽  
Vol 155 (5) ◽  
pp. 751-756 ◽  
Author(s):  
Mojgan Yazdanpanah ◽  
Fakhredin A Sayed-Tabatabaei ◽  
Joop A M J L Janssen ◽  
Ingrid Rietveld ◽  
Albert Hofman ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Gene Promoter ◽  
Population Based ◽  
Promoter Polymorphism ◽  
Increased Risk ◽  
Igf I ◽  
Genetically Determined

Objective: Previously we observed that non-carriers of the most common alleles of an IGF-I promoter polymorphism have low circulating IGF-I levels and an increased risk of developing myocardial infarction (MI), particularly in patients with type 2 diabetes. Design: We investigated whether this IGF-I promoter polymorphism is associated with survival of type 2 diabetes in a Caucasian population aged 55 years and older. Methods: The study was embedded in the Rotterdam Study, a prospective population-based cohort study. At baseline, 668 patients with type 2 diabetes were diagnosed, among which, 55 incident MI were ascertained during follow-up. For the present study, we used two genotype groups: non-variant carriers (homozygous for 192, 194, or 192/194 bp genotypes), and variant carriers. Results: During a median follow-up of 8.8 years, 396 out of the 668 patients with type 2 diabetes (59.3%) died of various causes. The frequency of type 2 diabetes variant carrier and non-variant carriers was 28.7 and 71.3% respectively. The survival in patients with type 2 diabetes without an MI did not differ between the IGF-I genotype groups (hazard ratio (HR) = 0.8, 95% confidence interval (CI): 0.7–1.1, P = 0.1). In contrast, in those who developed an MI, variant carriers had a 2.4 times higher risk of mortality than non-variant carriers (95% CI: 1.2–4.8, P = 0.01). Conclusion: Our study suggests that genetically determined low IGF-I activity is an important determinant of survival in patients with type 2 diabetes who developed an MI. The IGF-I promoter polymorphism, therefore, may help to predict the future mortality risk in this group of patients.

scholarly journals Endogenous Testosterone Levels Are Associated with Risk of Type 2 Diabetes in Women without Established Comorbidity

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Jon J Rasmussen ◽  
Christian Selmer ◽  
Signe Frøssing ◽  
Morten Schou ◽  
Jens Faber ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Free Testosterone ◽  
Sex Hormone Binding Globulin ◽  
Plasma Testosterone ◽  
Total Testosterone ◽  
Incident Type ◽  
Increased Risk ◽  
The Impact ◽  
Androgen Levels

Abstract Purpose The impact of endogenous androgen levels on the risk of type 2 diabetes in women remains uncertain. The objective was to investigate associations between endogenous androgen levels and risk of type 2 diabetes in young women without established comorbidity. Methods In this retrospective cohort study, women aged 18 to 50 years who underwent measurement of plasma testosterone, dehydroepiandrosterone-sulfate (DHEA-S), dihydrotestosterone (DHT), and sex hormone-binding globulin (SHBG) for the first time from January 2007 to December 2015 were included. Androgens were analyzed using tandem liquid chromatography mass spectrometry. Women with established comorbidity were excluded, using Danish healthcare registries. We calculated incidence rate ratios (IRRs, 95% confidence intervals) of type 2 diabetes according to quartiles of plasma androgens using multivariate Poisson regression models. Results A total of 8876 women, with a mean ± SD age of 38.5 ± 4.6 years and a median (interquartile range [IQR]) follow-up duration of 8.1 (6.6-9.4) years, were eligible for analyses. During 69 728 person-years, 69 women were diagnosed with type 2 diabetes. Women in the highest quartile of plasma total testosterone and calculated free testosterone displayed increased risk of type 2 diabetes compared with the lowest quartile: IRR 1.97 (1.01; 3.85), P = .048 and IRR 7.32 (2.84; 18.83), P &lt; .001. SHBG was inversely associated with type 2 diabetes, Q4 versus Q1; IRR 0.06 (0.02; 0.21), P &lt; .001. Plasma DHEA-S and DHT were not associated with incident type 2 diabetes. Conclusions Higher levels of plasma total and free testosterone were associated with increased risk of type 2 diabetes among women.

Sign in / Sign up

Export Citation Format

Share Document