Association of Androgen Hormones, Sex Hormone-Binding Globulin, and the Menopausal Transition With Incident Diabetes Mellitus in Women With and Without HIV

BACKGROUND

HIV is associated with alterations in androgen hormone levels and sex hormone-binding globulin (SHBG) in women. Higher SHBG has been associated with a lower risk of diabetes in the general population, but the contribution of HIV, androgen hormones, SHBG, and menopausal phase to diabetes is unclear.

METHODS

From April 2003 through February 2020, 896 women with HIV (WWH) and 343 women without HIV (WWOH) from the Women's Interagency HIV Study with morning total testosterone, dehydroepiandrosterone sulfate (DHEAS), and SHBG levels were followed to assess for incident diabetes. Parametric regression models were used with age as the time scale and relative times (RT) as the measure of association of hormone level and menopausal phase with incident diabetes. Analyses incorporated time-dependent androgen hormone, SHBG levels, and menopausal phase and were adjusted for race/ethnicity, enrollment year, smoking status, BMI, hepatitis C virus status, and HIV-related factors.

RESULTS

In total, 128 (14%) WWH and 47 (14%) WWOH developed diabetes. In WWH, a doubling of SHBG and DHEAS were associated with a 7% (RT = 1.07 [95% CI: 0.82 to 1.40] and 15% (RT = 1.15 [95% CI: 0.95 to 1.39]) longer time to diabetes, respectively; in WWOH, a doubling of SHBG and DHEAS were associated with 84% (RT = 1.84 [95% CI: 0.89 to 3.82]) and 41% (RT= 1.41 [95% CI: 0.82 to 2.44]) longer times to diabetes. Total testosterone was not associated. In WWH, later menopausal phase was associated with shorter times to diabetes.

CONCLUSIONS

Despite alterations in androgen hormone and SHBG levels in HIV, regardless of HIV status, higher SHBG and DHEAS were associated with nonstatistically significant slower progression to diabetes. The menopausal transition may be a better hormonal indicator of diabetes risk in WWH.

A Longitudinal Study of Respiratory Mechanics in Pregnant Women with Obesity and Overweight

PURPOSE

Respiratory mechanics and the role of sex hormones in pregnancy are not well elucidated. We examined longitudinal and positional changes in lung mechanics in pregnancy and investigated the role of sex hormones.

METHODS

A longitudinal study enrolled 135 women with obesity in early pregnancy. Fifty-nine percent of women identified as White; median body mass index at enrollment was 34.4 kg/m2. Women with respiratory disease were excluded. We obtained measurements of airway resistance and respiratory system reactance in various positions using impedance oscillometry and sex hormones in early and late pregnancy.

RESULTS

With pregnancy progression, there was a significant increase in resonant frequency (Fres) (p = 0.012), integrated area of low frequency reactance (AX) (p = 0.0012) and R5-R20Hz (p = 0.038) in the seated position, and a significant increase in R5Hz (p = 0.000), Fres (p = 0.001), AX (p < 0.001 = 0.000), and R5-R20Hz (p = 0.014) in the supine position. Compared to the seated position, the supine position was associated with a significant increase in R5Hz, R20Hz, X5Hz, Fres, and AX in early (p-values < 0.026) and late pregnancy (p-values ≤ 0.001). Changes in progesterone levels between early and late pregnancy predicted the change in R5, Fres, and AX (p-values ≤ 0.043).

CONCLUSION

Resistive and elastic loads increase with pregnancy progression and a change in body position from seated to supine increases resistive and elastic loads in both early and late pregnancies. The increase in airway resistance is primarily related to an increase in peripheral rather than central airways resistance. There was an association between the change in progesterone levels and airway resistance.

Body Composition Changes Over the Menopausal Transition in Women With and Without Human Immunodeficiency Virus

BACKGROUND

Women are at risk for weight gain during the transition to menopause, but few have examined the contribution of menopause to weight gain in women with human immunodeficiency virus (WWH).

METHODS

From 2000 to 2013, participants (621 WWH; 218 without HIV [WWOH]) from the Women's Interagency HIV Study were categorized by menopausal phase using serial measures of anti-Müllerian hormone (AMH). Multivariable linear mixed models examined the association of menopausal phase with body mass index (BMI) and waist circumference (WC) trajectory, stratified by HIV status.

RESULTS

In models controlled for chronologic age, the estimated effects (95% confidence interval) of menopausal phase on annual rate of BMI change across early perimenopause, late perimenopause, and menopause, respectively, compared to premenopause were -0.55% (-.80 to -.30), -0.29% (-.61 to .03), and -0.67% (-1.12 to -.20) in WWH, whereas estimated effects were 0.43% (-.01 to .87) and 0.15% (-.42 to .71) across early and late perimenopause, respectively, and -0.40% (-1.24 to .45) across menopause in WWOH. The estimated effects on rate of WC change were negative across early perimenopause (-0.21% [-.44 to .03]) and menopause (-0.12% [-.5 to .26]) and positive across late perimenopause (0.18% [-.10 to .45]) in WWH, and positive across all 3 menopausal phases in WWOH, but these effects were not statistically significant.

CONCLUSIONS

In WWH, the menopausal transition was associated with BMI and WC trajectories that were mostly in a negative direction and opposite from WWOH after adjusting for age, suggesting that HIV blunts weight gain during the menopausal transition.

Analysis of serum HE4 levels in various histologic subtypes of epithelial ovarian cancer and other malignant tumors

BACKGROUND: The measurement of serum HE4 levels has emerged as a sensitive and specific biomarker for epithelial ovarian cancers (EOCs). However, serum levels in women diagnosed with various histologic subtypes of EOC and in women with metastatic non-ovarian primary malignancies have not been widely reported. OBJECTIVE: The goal of this study was to identify how serum HE4 levels vary in women diagnosed with different histologic subtypes of EOC and non-ovarian malignancies. METHODS: Data from six prospective pelvic mass clinical trials was combined and an evaluation of serum HE4 levels in women diagnosed with a malignancy was performed. For all patients, serum was obtained prior to surgery and final pathology, including primary tumor site, histologic subtype, grade and stage, were recorded. The mean, median, standard deviation, maximum, and minimum HE4 levels were determined for each group. RESULTS: A total of 984 patients were included in this study, with the average patient age being 60 years old. There were 230 premenopausal and 754 postmenopausal patients. Serum HE4 levels were elevated (≥70.0 pMol) in 85%of EOCs, 40%of LMP tumors, 21%of non-EOCs (germ cell tumors), 25%of cervical cancers, and 47%of non-gynecologic metastatic cancers. Analysis of histologic subtypes revealed 90%(n = 391) of serous, 85%(n = 73) of endometrioid, 45%(n = 42) of mucinous, 86%(n = 51) of mixed tumors, and 69%(n = 36) of clear cell tumors had elevated serum HE4 levels. CONCLUSIONS: Serum HE4 levels are most often elevated in women with high grade serous and endometrioid EOCs, and though serum elevations are seen more often with advanced stage disease, HE4 is also often elevated in early stage disease and lower grade tumors.

A Novel predictive probability algorithm to determine risk for malignancy between uterine fibroids versus uterine sarcoma

e18098

Background: The combination of HE4 and CA125 can be used as a predictive probability algorithm to determine the risk of malignancy in women with a uterine mass. Many studies have been done looking at ways to differentiate between benign fibroids and uterine sarcomas with limited success. This study examined the utility of using a logistics regression algorithm containing biomarkers HE4 and CA 125 to predict risk of malignancy of a uterine mass. Methods: This was an IRB retrospective study using de-identified data form 5 pelvic mass studies. Patients were included if they were diagnosed with either uterine fibroids or uterine sarcoma on final pathology. Pre-operative serum levels of HE4 and CA125 were obtained for each patient. A logistics regression analysis was performed in a prior pelvic mass prospective trial and utilized in this analysis. The predictive probability algorithm was used to classify patients into high and low risk groups for sarcoma. Wilson’s score interval was used to determine confidence intervals. Results: There were 71 patients identified with a uterine mass. The mean age of study participants was 54 (range 22-85). There were 10 (14.1%) sarcomas and 61 fibroids (85.9%) identified. Six of the sarcomas were leiomyosarcomas (60.0%). There was 1 adenosarcoma (10%), 1 mixed sarcoma (10%) and 2 sarcomas which were not further characterized. A threshold of 13.1% was used to classify masses as low or high risk. The predictive probability algorithm was found to have a sensitivity of 90.9% (CI 55.5-99.7%), specificity of 60.7% (CI 47.3-72.9%), PPV of 27.3% (13.3-45.5%), and NPV of 97.4% (86.2-99.9%). An elevated risk of malignancy was noted in 9 (90%) sarcomas and 24 (39%) of fibroids. Conclusions: A predictive probability algorithm using HE4 and CA 125 had a high sensitivity for determining high and low risk of malignancy in patients with presumed uterine fibroids with a sensitivity of 90.9% for detecting sarcoma. This algorithm will be validated in a prospective clinical trial.

Biomarker lead time for predicting progression in women with ovarian cancer compared to imaging

e18074

Background: Both CA125 and HE4 are biomarkers used to monitor women diagnosed with epithelial ovarian cancer (EOC). When these biomarkers increase and suggest progression of disease, imaging is frequently obtained for further assessment and confirmation. This study aims to assess how far in advance these biomarkers begin to trend upwards in comparison to the radiographic evidence of disease progression. Methods: This was an IRB approved retrospective trial. Residual longitudinal serum samples drawn for serum CA125 levels during treatment and monitoring from women with EOC were obtained. The samples were drawn every 3-5-weeks for patients on chemotherapy and every 3 months while monitoring. Serum CA125 and HE4 levels in the residual sera were analyzed at each time point. Imaging data was collected for each patient. Patients were included if either HE4 or CA125 was a marker for their disease. For each patient, the date of time point when the biomarker started to trend upward was identified and the date of radiographic evidence of progression was determined. The lead time (in days) for elevation of both CA125 and HE4 prior to evidence of radiographic progression was determined for each patient. Results: A total of 48 patients undergoing 58 treatment and monitoring events were identified. Each had evidence of disease progression by CA125 levels, HE4 levels, and computed tomography (CT). CA125 was the first biomarker to trend upward for 9 events (15.5%), HE4 was the first biomarker for 10 events (17.2%), and both increased simultaneously for 39 events (67.2%). Mean lead time for CA125 elevation prior to progression on imaging was 60 days (95% CI: 43 - 78, median = 44, range = 0 - 386). For HE4, mean lead time was 66 days (95% CI: 48 – 83, median = 46, range = 0 - 386). There was no significant difference in the average lead times between the two biomarkers (p < 0.01). Conclusions: When used for EOC monitoring both CA125 and HE4 have similar average lead times (~2 months) prior to the detection of progressive or recurrent disease by CT imaging.

Multiple biomarker algorithms to predict epithelial ovarian cancer in women with a pelvic mass: Can additional makers improve performance?

INTRODUCTION

Management of a woman with a pelvic mass is complicated by difficulty in discriminating malignant from benign disease. Many serum biomarkers have been examined to determine their sensitivity for detecting malignancy. This study was designed to evaluate if the addition of biomarkers to HE4 and CA125, as used in the Risk of Malignancy Algorithm (ROMA), can improve the detection of EOC.

METHODS

This was an IRB approved, prospective clinical trial examining serum obtained from women diagnosed with a pelvic mass who subsequently underwent surgery. Serum biomarker levels for CA125, HE4, YKL-40, transthyretin, ApoA1, Beta-2-microglobulin, transferrin, and LPA were measured. Logistic regression analysis was performed for various marker combinations, ROC curves were generated, and the area under the curves (AUCs) were determined.

RESULTS

A total of 184 patients met inclusion criteria with a median age of 56 years (Range 20-91). Final pathology revealed there were 103 (56.0%) benign tumors, 4 (2.2%) LMP tumors, 61 EOC (33.1%), 2 (1.1%) non-EOC ovarian cancers, 6 (3.3%) gynecologic cancers with metastasis to the ovary and 8 (4.3%) non-gynecologic cancers with metastasis to the ovary. The combination of HE4 and CA125 (i.e. ROMA) achieved an AUC of 91.2% (95% CI: 86.0-96.4) for the detection of EOC vs benign disease. The combination of CA125, HE4, YKL-40, transthyretin, ApoA1, Beta 2 microglobulin, transferrin, LPA and menopausal status achieved the highest AUC of 94.6% (95% CI: 90.1-99.2) but this combination was not significantly better than the HE4 and CA125 combination alone (p = 0.078).

CONCLUSIONS

The addition of select further serum biomarkers to HE4 and CA125 does not add to the performance of the dual marker combination for the detection of ovarian cancer.

Serum Decorin and Biglycan as Potential Biomarkers to Predict PPROM in Early Gestation

Preterm birth is a leading cause of neonatal mortality in the US and globally, with preterm premature rupture of fetal membranes (PPROM) accounting for one third of preterm births. Currently no predictive diagnostics are available to precisely assess risk and potentially reduce the incidence of PPROM. Bigycan and decorin, the main proteoglycans present in human fetal membranes, are involved in the physiological maturation of fetal membranes as well as in the pathophysiology of preterm birth. The serum protein sex hormone-binding globulin (SHBG) has recently been identified as a predictor of spontaneous preterm birth. We hypothesize that the balance between serum decorin and biglycan on one hand and SHBG on the other hand may provide insight into the status of the fetal membranes in early pregnancy, thereby predicting PPROM prior to symptoms. Using chart review, 18 patients with confirmed cases of PPROM were identified from 2013-2016. Second trimester residual serum was retreived from freezer storage for these cases along with 5 matched controls for each case. The biomarkers biglycan, decorin and SHBG were analyzed first separately, then in combination to determine their ability to predict PPROM. The predictive score for the combined model displays an AUC = 0.774. The ROC curve of the predicted score has an optimal threshold of 0.238 and a sensitivity and specificity of 0.72 and 0.84 respectively. This prenatal serum panel is a promising serum screening-based biochemical model to predict PPROM in asymptomatic women.

Impact of CD4+ lymphocytes and HIV infection on Anti-Müllerian Hormone levels in a large cohort of HIV-infected and HIV-uninfected women

PROBLEM

Effects of HIV infection on ovarian function and aging are unclear.

METHOD OF STUDY

Anti-Müllerian Hormone (AMH) levels were analyzed in 2621 HIV-infected and 941 uninfected participants using left-censored longitudinal models.

RESULTS

Age-adjusted AMH levels were 16% lower in women with undetectable viraemia and 26% lower in detectable viraemia, relative to uninfected women. Current CD4 count associated with higher AMH in both HIV-infected and HIV-uninfected women. After controlling for current and nadir CD4, AMH was ~15% higher in HIV-infected relative to uninfected women, regardless of HIV viraemia. Gravidity, amenorrhea, and nadir total lymphocyte counts associated with higher AMH; hormonal contraceptive use and past weight loss associated with lower AMH.

CONCLUSIONS

CD4 +  lymphocyte counts were associated with AMH in both HIV-infected and uninfected women. After adjustment for CD4 counts and age, HIV infection was associated with higher AMH. CD4 T cells and cellular activation may influence ovarian granulosa cell function.

Association between maternal and child leptin levels 9 years after pregnancy complicated by gestational diabetes

Obesity is a state of relative leptin resistance, and obesity in childhood is associated with an increased incidence of type 2 diabetes in later life. Offspring of mothers with gestational diabetes mellitus (GDM) are at increased risk of obesity. A cohort consisting of 64 mothers, 33 GDM and 31 controls screened for diabetes during the index pregnancy together with their 9-year-old offspring were studied. Our hypotheses were: 1) an elevated child leptin is associated with elevated maternal leptin in GDM mothers 9 years post delivery; and 2) child leptin at 9 years serves as a marker for incipient insulin resistance. By univariate analyses, child leptins were only significantly correlated with maternal leptins among the offspring of GDMs (OGDM) (r = 0.59; p = 0.001). By multivariate analyses, child leptin for the total study group was significantly associated with child body mass index (BMI) (R(2) = 0.65; p < 0.0001), child fasting insulin (R(2) = 0.08; p = 0.03), and female gender (R(2) = 0.28; p = 0.001). In addition, among OGDM child leptin was associated with maternal leptin (R(2) = 0.14; p = 0.005). Our results suggest that there is an association between maternal and child leptin levels 9 years after a pregnancy complicated by gestational diabetes.