Literature DB >> 35290388

The effect of transdermal gender-affirming hormone therapy on markers of inflammation and hemostasis.

Moya H Schutte1, Robert Kleemann2,3, Nienke M Nota1, Chantal M Wiepjes1, Jessica M Snabel2, Guy T'Sjoen4, Abel Thijs5, Martin den Heijer1.   

Abstract

BACKGROUND: Cardiovascular risk is increased in transgender persons using gender-affirming hormone therapy. To gain insight into the mechanism by which sex hormones affect cardiovascular risk in transgender persons, we investigated the effect of hormone therapy on markers of inflammation and hemostasis.
METHODS: In this exploratory study, 48 trans women using estradiol patches plus cyproterone acetate (CPA) and 47 trans men using testosterone gel were included. They were between 18 and 50 years old and did not have a history of cardiovascular events. Measurements were performed before and after 3 and 12 months of hormone therapy.
RESULTS: After 12 months, in trans women, systemic and endothelial inflammatory markers decreased (hs-CRP -66%, (95% CI -76; -53), VCAM-1-12%, (95% CI -16; -8)), while platelet activation markers increased (PF-4 +17%, (95% CI 4; 32), β-thromboglobulin +13%, (95% CI 2; 24)). The coagulation marker fibrinogen increased transiently, after 3 months (+15%, (95% CI 1; 32)). In trans men, hs-CRP increased (+71%, (95% CI 19; 145)); platelet activation and coagulation markers were not altered. In both trans women and trans men, leptin and adiponectin changed towards reference values of the experienced gender.
CONCLUSIONS: Platelet activation and coagulation marker concentrations increased in trans women using transdermal estradiol plus CPA, but not in trans men using testosterone. Also, concentrations of inflammatory markers decreased in trans women, while hs-CRP increased in trans men. Our results indicate that hormone therapy may affect hemostasis in transgender persons, which could be an underlying mechanism explaining the increased cardiovascular risk in this population.

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Year:  2022        PMID: 35290388      PMCID: PMC8923509          DOI: 10.1371/journal.pone.0261312

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Transgender persons experience an incongruence between their sex assigned at birth and their gender identity. This is opposed to cisgender persons, whose sex assigned at birth matches their gender identity. Transgender persons can receive gender-affirming hormone therapy (GAHT) as part of their transition. In trans women (male sex assigned at birth, female gender identity), hormone treatment consists of estrogens, often in combination with antiandrogens (in Europe usually cyproterone acetate, CPA). In trans men (female sex assigned at birth, male gender identity), hormone treatment consists of testosterone [1]. Previous studies have shown that both trans women and trans men receiving hormone therapy have an increased risk of cardiovascular events compared to the general population [2, 3]. Trans women have an increased risk of stroke, myocardial infarction, and venous thromboembolism. Trans men seem to have an increased risk of stroke and myocardial infarction [4, 5]. The pathophysiological mechanism by which hormone therapy affects cardiovascular risk in transgender persons has not been unraveled yet. In an attempt to do so, the effect of GAHT on different cardiometabolic markers has been studied. While results from different studies are inconsistent, testosterone in trans men seems to elevate lipid levels [3, 6] and blood pressure [2], and decrease insulin resistance [7, 8]. Diversely, estrogens (combined with antiandrogens) in trans women seem to have either a positive or no effect on the lipid spectrum [3, 6], and increase insulin resistance [7, 8]. Alterations in blood pressure in trans women most probably depend on factors as administration type, duration of hormone treatment and measurement method, as both increases as decreases are reported [2, 3]. In conclusion, current evidence is not able to define the mechanism by which cardiovascular risk is increased in transgender persons. Two key players in the development of cardiovascular disease are the processes of atherosclerosis and hemostasis. Endogenous estrogens have beneficial effects on these processes; they promote vasodilatation and endothelial cell-growth and decrease the development of atherosclerosis in cis women [9]. In contrast, oral, but not transdermal, exogenous estrogens increase thrombotic risk in postmenopausal women [10], which may be the result of first-pass hepatic metabolism. Endogenous testosterone has both protecting and deleterious effects on the vasculature [2], and administration of exogenous testosterone does not clearly affect the risk of thrombosis in cis men [11]. As research on this topic in transgender persons is scarce, we aimed to explore the effects of GAHT on inflammation and hemostasis. We selected a broad spectrum of markers associated with systemic, endothelial, or adipose tissue related inflammation. In the context of hemostasis, platelet activation and coagulation markers were investigated.

Materials and methods

Study design

This is a prospective observational study, which is part of the ENIGI (European Network for the Investigation of Gender Incongruence) study. The ENIGI-study is conducted in four collaborating gender clinics in Amsterdam, Ghent, Oslo and Florence. It is registered at https://clinicaltrials.gov/ct2/show/NCT01072825 and the full study protocol is published elsewhere [12]. The overall study protocol was approved by the ethical review board of Ghent University Hospital, Belgium and local ethical review boards of the other participating centers. Participants of the ENIGI-study are 18 years or older, diagnosed with gender dysphoria according to the revised fourth or fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and receive routine clinical transgender care. Exclusion criteria are previous or current use of hormone treatment. Written informed consent is obtained. In this study, data from participants included in Amsterdam between June 2012 and July 2019 was analyzed. All subjects were 50 years or younger, used transdermal hormone treatment and had available blood samples at baseline and after three and / or twelve months. Trans women received estradiol patches (100 mcg/24 hours, twice weekly) combined with CPA (50 mg daily) and trans men received testosterone gel (50 mg daily). If necessary, the dosage of the hormone treatment was adjusted to achieve adequate estradiol or testosterone concentrations as suggested by applying guidelines [1]. Exclusion criteria were use of anti-inflammatory medication or medication that affects hemostasis (e.g. platelet inhibitors, anti-coagulation, SSRI’s, etc.). Trans men were not allowed to use hormonal medication to suppress medication. None of the participants underwent gender-affirming genital surgery before or during the study-period. Follow-up duration was one year.

Data collection

Venous blood samples were taken and Body Mass Index (BMI) and blood pressure were measured before the start of GAHT (baseline) and after 3 and 12 months of treatment. Estradiol (pmol/L) and testosterone (nmol/L) concentrations were measured at the Laboratory for Endocrinology of the Amsterdam University Medical Centers.

Outcome measures

Our primary outcome measures consisted of several inflammatory markers. We selected a broad spectrum of markers in order to investigate different influences on inflammation, hemostasis and adipose tissue, the latter already known to be altered by hormone therapy in transgender persons [7, 13]. Of the examined systemic inflammatory markers, high-sensitivity C reactive protein (hs-CRP) is directly associated with cardiovascular risk [14] while cytokines may play an intermediate role in the acute phase response (α-1-antitrypsin, tumor necrosis factor alpha (TNF-α), interferon gamma (IFN-γ), interleukine (IL)-1b, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-22) and vascular adhesion molecule 1 (VCAM-1) is expressed during endothelial activation. Adipose tissue specific marker leptin is associated with obesity and is a predictor of myocardial infarction [15, 16], while adiponectin has anti-inflammatory effects, like increasing insulin sensitivity [16, 17]. Of the examined coagulation markers, fibrinogen is associated with cardiovascular risk [18], and plasminogen activator inhibitor-1 (PAI-1) is altered by hormone therapy in postmenopausal cis women [19]. Platelet activation markers consisted of platelet-specific proteins platelet factor 4 (PF-4), β-thromboglobulin and p-selectin, which are released by platelets upon activation [20]. Secondary outcome measures were estradiol and testosterone levels, BMI and blood pressure. BMI and blood pressure are influenced by GAHT [21], and are associated with inflammation [22, 23]. They were included to rule out that observed changes in concentrations of inflammatory markers were actually explained by changes in BMI or blood pressure.

Biomarker assays

The above-mentioned markers were measured at the Netherlands Organization for Applied Scientific Research (Leiden, The Netherlands), using serum (for PF-4 and β-thromboglobulin) and EDTA (for all other markers) plasma samples and miniaturized biomarker assays. The samples from transgender men and women were randomized and evaluated on the same plates. To minimize analytical variability, all measurements of a particular biomarker were carried out on the same day, and longitudinal samples of a subject (0, 3 and 12 months) were analyzed on the same plate (96 wells). More specifically, cytokine concentrations were determined with a CorPlex™ Cytokine Panel on an SP-X™ imaging system (Quanterix, Billerica, MA, USA). All other markers were quantified by enzyme-linked immunosorbent assay using the following antibody sets: hs-CRP (DY1707); VCAM-1 (DY809); adiponectin (DY1065); PF4 (DY795); β-thromboglobulin (DY393); p-selectin (DY137); PAI-1 (DY9387); all R&D Systems (Abingdon, UK); α-1-antitrypsin (NBP2-60541) and fibrinogen (NBP2-60465) from Novus Biologicals (Wiesbaden, Germany); leptin (10-1199-01) from Mercodia (Uppsala, Sweden). For each biomarker, the linear range and optimal dilution factor was optimized prior to the measurements using commercially available reference plasma from female (n = 20) and male blood donors (n = 20) (TCS Bioscience Ltd, Buckingham, UK). The linear range, limit of quantification and dilution factor of the inflammatory markers are provided in S1 Table.

Statistical analysis

Statistical analyses were performed using STATA®, version 15.1. Baseline characteristics and hormone concentrations are presented as median with interquartile range (IQR). Concentrations of inflammatory markers were log transformed for analysis and back-transformed for presentation. Normality of the residuals was verified via visual inspection of the histogram. Linear mixed models [24] with a random intercept for each subject were used, with the inflammatory marker as the dependent variable and duration of treatment (0, 3 and 12 months) as a categorical covariate. We adjusted for potential confounders (change in BMI or blood pressure) and stratification factors (age, hormone level during treatment, smoking status). The obtained regression coefficient was back-transformed to the ratio and converted to percentage change. No adjustment for multiple comparisons was performed.

Results

In this study, 48 trans women and 47 trans men were included. The study flowchart is shown in Fig 1. Table 1 shows the baseline characteristics of the study population. Hormone concentrations, body mass index and blood pressure at baseline and after 3 and 12 months of hormone therapy are shown in Table 2. Absolute values of the inflammatory markers are shown in Tables 3 and 4; percentage change is shown in Fig 2.
Fig 1

Study flowchart.

Table 1

Baseline characteristics of the study population.

Trans womenTrans men
(n = 48)(n = 47)
Age (years)30 (24–39)23 (20–26)
BMI (kg/m^2)23 (21–26)23 (21–30)
Ever smoked (%)16 (33%)20 (43%)
Blood pressure (mmHg)
Systolic129 (121–137)122 (115–128)
Diastolic80 (76–87)77 (72–82)
MAP96 (91–101)92 (87–97)
Glucose (mmol/L)5.5 (5.1–5.7)5.1 (4.9–5.4)
Total cholesterol (mmol/L)4.3 (3.7–5.1)4.3 (3.9–4.9)
Triglycerides (mmol/L)0.9 (0.7–1.3)0.7 (0.5–1.0)

Data are presented as median (IQR) for continuous data, and number and % for categorical data. BMI, body mass index. MAP, mean arterial pressure. Number of participants with an underlying disease: diabetes mellitus (1), human immunodeficiency virus (2), pulmonal hypertension (1), ulcerative colitis (1).

Table 2

Hormone concentrations, body mass index and blood pressure at baseline and after 3 and 12 months of hormone therapy.

Trans womenTrans men
Visit (months)
03120312
Estradiol (pmol/L)101 (79–126)246 (120–342)258 (178–496)273 (168–442)184 (147–250)158 (116–204)
Testosterone (nmol/L)18 (14–23)0.6 (0.5–0.8)0.7 (0.5–0.8)1.3 (1.0–1.7)27 (14–42)20 (15–30)
BMI (kg/m^2)23 (21–26)23 (21–26)24 (22–27)23 (21–30)23 (22–29)23 (22–28)
BP (mmHg)
Systolic129 (123–138)123 (117–134)127 (117–135)122 (115–126)123 (117–130)122 (116–129)
Diastolic80 (73–88)78 (73–83)78 (73–84)77 (72–81)75 (70–82)76 (72–82)
MAP96 (91–101)93 (88–98)94 (89–100)92 (87–97)90 (86–98)92 (87–96)

Data are presented as median (IQR). BP, blood pressure. BMI, body mass index. MAP, mean arterial pressure.

Table 3

Inflammation and hemostasis markers at 0, 3 and 12 months in trans women (absolute values).

Visit (months)
0312
Inflammation
Systemic inflammatory markers
hs-CRP (μg/ml)0.8 (0.6, 1.1)0.5 (0.3, 1.0)p = 0.040.3 (0.2, 0.4)p < 0.001
α-1-antitrypsin (μg/ml)186 (173, 199)198 (177, 222)p = 0.62178 (165, 192)p = 0.24
TNF-α (pg/ml)2.9 (2.6, 3.3)2.5 (2.2, 2.9)p = 0.062.6 (2.3, 2.9)p = 0.02
IL-6 (pg/ml)1.1 (0.9, 1.4)1.0 (0.7, 1.4)p = 0.480.8 (0.6, 1.0)p = 0.01
IL-8 (pg/ml)6.3 (5.6, 7.0)5.9 (5.1, 6.9)p = 0.525.3 (4.6, 6.1)p = 0.02
IL-10 (pg/ml)0.6 (0.5, 0.8)0.5 (0.4, 0.6)p = 0.330.5 (0.4, 0.6)p = 0.06
IL-22 (pg/ml)0.8 (0.6, 0.9)0.5 (0.4, 0.7)p = 0.330.5 (0.4, 0.7)p = 0.06
Endothelial inflammatory markers
VCAM-1 (ng/ml)382 (358, 407)328 (299, 360)p < 0.001337 (315, 360)p < 0.001
Adipose tissue markers
Leptin (ng/ml)3.5 (2.4, 5.1)7.6 (5.1, 11.4)p < 0.0019.8 (7.5, 12.8)p < 0.001
Adiponectin (μg/ml)2.3 (2.1, 2.6)2.6 (2.1, 3.2)p = 0.0152.5 (2.1, 2.8)p = 0.13
Hemostasis
Platelet activation markers
Platelet factor 4 (PF-4) (μg/ml)2.0 (1.8, 2.3)1.9 (1.4, 2.4)p = 0.282.4 (2.2, 2.6)p = 0.01
β-thromboglobulin (μg/ml)5.6 (5.1, 6.1)5.3 (4.2, 6.5)p = 0.356.4 (5.8, 6.9)p = 0.02
P-selectin (ng/ml)36 (32, 40)39 (35, 43)p = 0.2934 (30, 38)p = 0.37
Markers of coagulation
Fibrinogen (mg/ml)3.7 (3.3, 4.1)4.3 (3.5, 5.2)p = 0.043.8 (3.4, 4.1)p = 0.78
PAI-1 (ng/ml)23 (20, 26)24 (20, 30)p = 0.4621 (18, 25)p = 0.45

Predicted average marker levels (geometric mean) with 95% confidence intervals and p-values, not adjusted for multiple comparisons. Measures were log-transformed for analysis and back-transformed for presentation.

Table 4

Inflammation and hemostasis markers at 0, 3 and 12 months in trans men (absolute values).

Visit (months)
0312
Inflammation
Systemic inflammatory markers
hs-CRP (μg/ml)0.3 (0.2, 0.6)0.5 (0.3, 0.8)p = 0.230.5 (0.3, 0.9)p = 0.005
α-1-antitrypsin (μg/ml)176 (165, 188)166 (150, 184)p = 0.10166 (150, 184)p = 0.10
TNF-α (pg/ml)2.7 (2.4, 3.0)2.8 (2.5, 3.1)p = 0.822.8 (2.5, 3.1)p = 0.85
IL-6 (pg/ml)1.1 (0.9, 1.4)1.1 (0.8, 1.6)p = 0.761.0 (0.8, 1.4)p = 0.53
IL-8 (pg/ml)5.6 (4.8, 6.4)6.1 (5.4, 6.9)p = 0.156.7 (5.7, 7.8)p = 0.10
IL-10 (pg/ml)0.5 (0.4, 0.5)0.5 (0.4, 0.6)p = 0.640.5 (0.4, 0.6)p = 0.40
IL-22 (pg/ml)0.8 (0.6, 1.0)0.7 (0.5, 1.0)p = 0.640.8 (0.6, 1.1)p = 0.91
Endothelial inflammatory markers
VCAM-1 (ng/ml)386 (364, 410)407 (371, 446)p = 0.13390 (361, 421)p = 0.37
Adipose tissue markers
Leptin (ng/ml)14.0 (10.8, 18.0)9.9 (7.1, 13.7)p < 0.0016.6 (4.9, 9.1)p < 0.001
Adiponectin (μg/ml)3.1 (2.6, 3.6)2.4 (2.1, 2.9)p < 0.0012.5 (2.1, 2.9)p < 0.001
Hemostasis
Platelet activation markers
Platelet factor 4 (PF-4) (μg/ml)2.1 (1.9, 2.3)1.7 (1.3, 2.2)p = 0.042.1 (1.8, 2.4)p = 0.85
β-thromboglobulin (μg/ml)5.4 (5.1, 5.9)4.4 (3.4, 5.8)p = 0.035.5 (5.0, 6.1)p = 0.99
P-selectin (ng/ml)33 (30, 37)36 (32, 40)p = 0.5634 (30, 38)p = 0.72
Markers of coagulation
Fibrinogen (mg/ml)3.5 (3.2, 3.9)3.0 (2.3, 3.9)p = 0.103.2 (2.8, 3.6)p = 0.36
PAI-1 (ng/ml)23 (20, 25)26 (21, 32)p = 0.4021 (17, 25)p = 0.35

Predicted average marker levels (geometric mean) with 95% confidence intervals and p-values, not adjusted for multiple comparisons. Measures were log-transformed for analysis and back-transformed for presentation.

Fig 2

%-change after 3 and 12 months of hormone therapy in trans women and trans men.

Values are presented as geometric mean with 95% confidence interval. Measures were log-transformed for analysis and back-transformed for presentation. Scales are logarithmic. For hs-CRP and leptin, a larger scale is used.

%-change after 3 and 12 months of hormone therapy in trans women and trans men.

Values are presented as geometric mean with 95% confidence interval. Measures were log-transformed for analysis and back-transformed for presentation. Scales are logarithmic. For hs-CRP and leptin, a larger scale is used. Data are presented as median (IQR) for continuous data, and number and % for categorical data. BMI, body mass index. MAP, mean arterial pressure. Number of participants with an underlying disease: diabetes mellitus (1), human immunodeficiency virus (2), pulmonal hypertension (1), ulcerative colitis (1). Data are presented as median (IQR). BP, blood pressure. BMI, body mass index. MAP, mean arterial pressure. Predicted average marker levels (geometric mean) with 95% confidence intervals and p-values, not adjusted for multiple comparisons. Measures were log-transformed for analysis and back-transformed for presentation. Predicted average marker levels (geometric mean) with 95% confidence intervals and p-values, not adjusted for multiple comparisons. Measures were log-transformed for analysis and back-transformed for presentation. Below, Adjusting the analyses for change in BMI or blood pressure did not affect the results. Also, changes in markers were not different for different age ranges (in trans women only; in trans men no stratification was performed because of the small age range). Lastly, higher hormone concentrations during treatment or different smoking status at baseline did not affect the results either. Therefore, non-adjusted results are reported. We only describe the percentage change after 12 months of hormone therapy, unless the direction of the 3- and 12-month effect was different.

Trans women

Inflammation

Systemic inflammatory markers IL-1b, IL4, IL5, IL12p70 and IFN-γ were undetectable in the majority of samples. Estimates of concentration changes of these markers are not considered reliable and are therefore not reported. After 12 months of transdermal estradiol plus CPA, systemic and endothelial inflammatory marker concentrations decreased (hs-CRP -66%, (95% CI -76; -53), IL-6–28%, (95% CI -7; -44), IL-8–15%, (95% CI -2; -17), IL-22–34%, (95% CI -7; -44), VCAM-1–12%, (95% CI -16; -8)). Concentrations of both adipokines increased (leptin +202%, (95% CI 139; 282), adiponectin +7% (95% CI -2; 16)). For percentage change after 3 and 12 months, see Fig 2.

Hemostasis

Concentrations of platelet activation markers increased after 12 months of treatment (PF-4 +17%, (95% CI 4; 32), β-thromboglobulin +13% (95% CI 2; 24)). Coagulation marker fibrinogen transiently increased after 3 months (+15%, (95% CI 1; 32)) and normalized after 12 months (+1%, (95% CI -8; 12)); PAI-1 was not altered. For percentage change after 3 and 12 months, see Fig 2.

Trans men

After 12 months of testosterone treatment, concentrations of systemic inflammatory markers did not change, except for hs-CRP (+71%, (95% CI 19; 145)). Endothelial marker VCAM-1 was not clearly affected. Adipokine concentrations decreased (leptin -49% (95% CI -59; -37), adiponectin -20% (95% CI -27; -14)). For percentage change after 3 and 12 months, see Fig 2. Concentrations of platelet activation markers and coagulation markers did not clearly change after 12 months of treatment (PF-4 +0%, (95% CI -18; 23), β-thromboglobulin +2% (95% CI -16; 23), fibrinogen -8% (95% CI -23; 9)). For percentage change after 3 and 12 months, see Fig 2.

Discussion

In this study, we assessed the association between hormone treatment and markers of inflammation and hemostasis in transgender persons. We observed that hormone treatment in trans women was associated with a decrease in inflammatory marker concentrations and an increase in hemostasis marker concentrations. In contrast, in trans men, hormone treatment was associated with no change in inflammatory and hemostasis marker concentrations, except for an increase in hs-CRP. Transdermal estradiol combined with CPA was associated with a decrease in concentrations of systemic and endothelial inflammatory markers in trans women. This is not in line with previous studies in postmenopausal and trans women, which have found that transdermal estradiol was not associated with a change in inflammation markers and oral estrogens were associated with an increase in inflammation marker concentrations [25-27]. However, both the postmenopausal and trans women included in these studies, were older than our participants. The potential beneficial effect of hormone therapy on inflammation decreases with age, as estradiol may not inhibit the development of atherosclerosis once this is present [28]. Further, the increase in concentrations of inflammatory markers associated with oral but not with transdermal estrogens implies that the hepatic first pass effect may be responsible. In contrast with the other inflammatory markers, hormone treatment was associated with increased adipokine concentrations. These results are in line with previous studies in transgender persons using hormone treatment, which showed that concentrations of adipokines changed towards reference values of the experienced gender [7, 13]. The increased leptin concentration may, at least partly, be explained by a change in fat distribution from visceral depots to the subcutaneous depot [29]. Subsequently, the change in adipokine concentrations can be interpreted as a consequence of metabolic adjustments in energy balance and body fat distribution. In trans women, transdermal estradiol plus CPA was associated with an increase in levels of platelet activation markers. This is in line with a previous study in cis women, which has shown that platelets express estrogen receptors and platelet activation differs per phase of the menstrual cycle [30]. However, studies in postmenopausal women are inconclusive, with some studies reporting an increase and other reporting a decrease in platelet activity after hormone treatment [31, 32]. The concentration of the coagulation marker fibrinogen transiently increased after 3 months of transdermal estradiol combined with CPA. Similarly, a recent study on the effect of GAHT on coagulation parameters observed more procoagulant profiles in trans women [33]. Our observed increase in fibrinogen concentration after 3 months of hormone therapy may indicate temporarily increased pro-coagulant activity. The transient increase in fibrinogen concentration could be caused by CPA. Oral contraceptives containing CPA are associated with a higher thrombotic risk than contraceptives containing levonorgestrel [34]. Also, the dosage of CPA that has antiandrogenic effects is higher than the dosage used in contraception (50 vs 2 mg), which may even be more prothrombotic. While we know that trans women using hormone treatment have an increased thrombotic risk, we do not know if those using CPA have a higher thrombotic risk than those using other (for example GnRH-analogues or spironolactone) or no antiandrogens. In trans men, testosterone was associated with an increase in hs-CRP concentration, but not with a change in other systemic inflammatory markers. This is in contrast with previous studies in hypogonadal cis men, which found no effect or even a decrease in levels of inflammation markers [35, 36]. This difference may be explained by the effect of testosterone administration on estrogen concentrations. In hypogonadal cis men, testosterone is converted into estradiol by aromatase, increasing the concentration of estradiol. However, trans men start with a high concentration of estradiol, which is decreased by testosterone Since our results in trans women suggest that estrogens are associated with a decrease in inflammatory markers the increase of hs-CRP in trans men may be associated with the decline in estrogen concentrations. This however does not explain why we observed no change in concentrations of the other inflammatory markers. Further, we found that testosterone decreased adipokine levels towards reference values for men, which is in line with our results in trans women and the results of previous studies in transgender persons [7, 13]. This is probably partially explained by a change in fat distribution from subcutaneous towards visceral fat depots [29]. While estradiol plus CPA increased hemostatic marker concentrations in trans women, testosterone did not affect these markers in trans men. After 12 months of hormone treatment, platelet activation marker concentrations did not change. Unfortunately, previous studies on this topic only include animal and ex vivo studies. Some of these studies have suggested that testosterone induces platelet aggregation by influencing platelet receptor expression [37, 38], while another indicated that testosterone induces platelet inhibition [39]. Therefore, the effect of testosterone on platelet activity needs to be further examined. Administration of testosterone also did not affect coagulation markers in trans men. This is in line with a recent study on coagulation parameters in trans men, which observed no apparent changes [33]. Also, there is absence of evidence for an increased risk of venous thromboembolic disease in trans men [2-5]. Similarly, in hypogonadal cis men, testosterone replacement therapy does not increase concentrations of coagulation markers [40], nor the occurrence of venous thromboembolism [11]. While our results indicate that the hemostatic system may play a role in the association between hormone treatment and cardiovascular risk in trans women, this is less apparent in trans men.

Strengths and limitations

As far as we know, this is the first study exploring the effect of gender-affirming hormone therapy on inflammatory and hemostasis markers in both trans women and trans men. The explorative aim of our study required investigating multiple markers and multiple testing. Therefore, our results are hypothesis-generating, and not hypothesis-confirming. A strength of our study is the relatively large homogenous population and the specific hormone regimes and administration types. As it is unethical to include a control group who are withheld from desired hormone therapy, we used a prospective design in which each participant serves as their own control. Our study had some limitations as well. First, our participants were young and healthy and follow-up duration was relatively short, while the occurrence of atherosclerosis and cardiovascular disease increases with age. Second, we were unable to differentiate between the effect of transdermal estradiol and the effect of CPA in trans women. Third, to avoid the first-pass effect of the liver, we investigated the effect of only transdermal estradiol, while the occurrence of thrombosis is especially associated with the use of oral estrogens. Future, larger studies in older transgender persons, with a longer follow-up duration, different hormone regimes and administration types, preferably in comparison to cisgender controls, are necessary to expand our knowledge on this subject. While especially relevant for the trans population, gaining insight into the mechanism by which sex hormones affect cardiovascular risk may help to understand sex differences in cardiovascular disease in the cis population as well.

Linear range, limit of quantification and dilution factor of inflammatory markers.

(DOCX) Click here for additional data file.

Number of analyzed blood samples for trans women and trans men at 0, 3 and 12 months.

(DOCX) Click here for additional data file.

Minimal dataset.

(DTA) Click here for additional data file. 15 Oct 2021
PONE-D-21-30629
The effect of transdermal gender-affirming hormone therapy on markers of inflammation and hemostasis
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The research has potential interest for the journal, but the manuscript has serious deficiencies and mistakes that must be attended, I suggest attending the observations of the reviewer 1, mainly about statistical analysis, and consider the suggests of reviewer 2. A second review of the manuscript and point-to point response to reviewers are necessary. ============================== Please submit your revised manuscript by Nov 29 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Martha Asuncion Sánchez-Rodríguez, PhD Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. Thank you for stating the following financial disclosure: "The biochemical analyses were supported by the TNO research programs Biomedical Health-PMC13 and Prevention 2.0. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." At this time, please address the following queries: a) Please clarify the sources of funding (financial or material support) for your study. List the grants or organizations that supported your study, including funding received from your institution. b) State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.” c) If any authors received a salary from any of your funders, please state which authors and which funders. d) If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.” Please include your amended statements within your cover letter; we will change the online submission form on your behalf. Additional Editor Comments: The research has potential interest for the journal, but the manuscript has serious deficiencies and mistakes that must be attended. I suggest attending the observations of the reviewer 1, mainly about statistical analysis, and consider the suggests of reviewer 2. A second review of the manuscript and point-to point response to reviewers are necessary. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: No Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Schutte et al looked at the effect of transdermal GAHT on markers of inflammation, The study is nicely done but the authors need to recognize the limitation of their study. The sample size is very small and no control subjects but 15 markers have been tested. This is a big limitation for the study, the authors should mention that this is an exploratory study and no way is a confirmatory study. The english used in the text is also hard to follow and needs rewriting. The abbreviation needs to be spelled out first time used in the body of the manuscript, for example "PAI-1" never been spelled out. There are my comments about the statistical analysis: 1. Authors report that “Concentrations of inflammatory markers were log transformed for analysis and back transformed for presentation”. While this is probably correct, authors should verify that the residual errors from the mixed linear model have a normal distribution on the log scale by computing a normal goodness of fit statistic (for example Shapio-Wilk test) and report that normality was verified. If the authors are reporting the antilog of the log scale means, this is called the geometric mean and should be labelled as such. 2. Data (IL-1b, IL-4,IL12p70) failing to have a normal distribution (“heavily right skewed”-line 234) is not a good reason for omitting results (“they were not further analyzed”). Non parametric methods can be used. Medians and interquartile ranges can be reported. They can probably ignore these markers if they think they are not important markers otherwise their reason for not analyzing is not acceptable. 3. Authors should report the sample size at each time if it is not constant (48 trans females or 47 in trans males) across time. 4. There is possible selection bias if those with no baseline data were excluded. Authors should provide the flow diagram showing how many were excluded from the initial pool and why they were excluded. 5. While the authors did not report BMI or blood pressure change adjusted results, it is not clear why this should even be considered. It would seem that change in BMI and/or blood pressure are not confounders but are another result of the hormone intervention. This needs to be clarified (especially for BP) 6. The authors looked at 15 outcomes (Table3). They should report nominal p values for the change from time 0 and state whether they are adjusting for multiple outcomes and multiple comparisons. The authors are commended for reporting confidence bounds but should clarify that the 95% confidence level is not adjusted for multiple outcomes. Obviously, a stronger study would compare these changes to changes in a cisgender control group but it is acknowledged that this may not be feasible and is beyond the scope of the current study. 7-It would also have been interesting if the change in the outcome had been correlated with the change in hormone but this may be beyond the scope of the current analysis. Reviewer #2: This is an interesting report about the effect of hormone therapy on markers of inflammation and hemostasis in transgender persons. The findings were clear-cut; however, the manuscript has some problems. The keyword cardiovascular events should be revised Abstract The result about the increment in platelet factor 4 (PF-4) in trans women is not mentioned Introduction It is not clear why the authors measure leptin and adiponectin, they should explain in a little more detail why they chose these adipokines as adipose tissue markers Materials and methods The sentence in line 154 “Using EDTA or serum plasma samples” should be revised Results Authors did not mention whether the dosage of the hormone therapy was adapted in some participants to reach adequate estradiol or testosterone concentrations as suggested by guidelines The authors omit important characteristics of the study population as: blood pressure, weight, BMI, glucose levels, and lipid profile at baseline and after 3 and 12 months of hormone therapy There are no data concerning the liver and renal function for the safety evaluation It is not specified if some participants had an underlying disease In table 3 the authors should provide the p-values of all the comparisons Figure 1 displays a reduction in IL-6, IL-8 and IL-22 in trans women at 12 months; these results are not mentioned in results section and are not discussed ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Leila Hashemi MD MSCR FACP Reviewer #2: Yes: Renata Saucedo [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 19 Nov 2021 We would like to thank the editor and the reviewers for the helpful suggestions, and for providing us the opportunity to resubmit our manuscript entitled "The effect of transdermal gender-affirming hormone therapy on markers of inflammation and hemostasis". We were delighted to receive such thoughtful feedback, and we feel that our manuscript has improved substantially. We have attached a point-by-point reply to the comments, and our revised manuscript. Submitted filename: Response to Reviewers_17-11.docx Click here for additional data file. 1 Dec 2021 The effect of transdermal gender-affirming hormone therapy on markers of inflammation and hemostasis PONE-D-21-30629R1 Dear Dr. Schutte, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Martha Asuncion Sánchez-Rodríguez, PhD Academic Editor PLOS ONE Additional Editor Comments (optional): Thanks to attend the reviewers’ comments, the manuscript substantially improves. Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #2: I am satisfied with the authors responses and with the modifications made to the original manuscript. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #2: Yes: Renata Saucedo 2 Mar 2022 PONE-D-21-30629R1 The effect of transdermal gender-affirming hormone therapy on markers of inflammation and hemostasis Dear Dr. Schutte: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Martha Asuncion Sánchez-Rodríguez Academic Editor PLOS ONE
  38 in total

1.  Testosterone modulates platelet aggregation and endothelial cell growth through nitric oxide pathway.

Authors:  Adrián E Campelo; Pablo H Cutini; Virginia L Massheimer
Journal:  J Endocrinol       Date:  2012-01-26       Impact factor: 4.286

Review 2.  Hormone therapy and hemostasis among postmenopausal women: a review.

Authors:  Marianne Canonico
Journal:  Menopause       Date:  2014-07       Impact factor: 2.953

3.  Relationship of C-reactive protein to risk of cardiovascular disease in the elderly. Results from the Cardiovascular Health Study and the Rural Health Promotion Project.

Authors:  R P Tracy; R N Lemaitre; B M Psaty; D G Ives; R W Evans; M Cushman; E N Meilahn; L H Kuller
Journal:  Arterioscler Thromb Vasc Biol       Date:  1997-06       Impact factor: 8.311

4.  Human megakaryocytes and platelets contain the estrogen receptor beta and androgen receptor (AR): testosterone regulates AR expression.

Authors:  G Khetawat; N Faraday; M L Nealen; K V Vijayan; E Bolton; S J Noga; P F Bray
Journal:  Blood       Date:  2000-04-01       Impact factor: 22.113

Review 5.  Adiponectin Regulation and Function.

Authors:  Han Fang; Robert L Judd
Journal:  Compr Physiol       Date:  2018-06-18       Impact factor: 9.090

6.  A comparison of the risks of venous thromboembolic disease in association with different combined oral contraceptives.

Authors:  R D Farmer; R A Lawrenson; J C Todd; T J Williams; K D MacRae; F Tyrer; G M Leydon
Journal:  Br J Clin Pharmacol       Date:  2000-06       Impact factor: 4.335

7.  Inflammation markers and risk of developing hypertension: a meta-analysis of cohort studies.

Authors:  Ahmad Jayedi; Kazem Rahimi; Leonelo E Bautista; Milad Nazarzadeh; Mahdieh Sadat Zargar; Sakineh Shab-Bidar
Journal:  Heart       Date:  2019-01-30       Impact factor: 5.994

Review 8.  Differential Role of Leptin and Adiponectin in Cardiovascular System.

Authors:  C M Ghantous; Z Azrak; S Hanache; W Abou-Kheir; A Zeidan
Journal:  Int J Endocrinol       Date:  2015-05-03       Impact factor: 3.257

Review 9.  The Anti-Inflammatory Effects of Testosterone.

Authors:  Vittorio Emanuele Bianchi
Journal:  J Endocr Soc       Date:  2018-10-22

10.  Obesity and inflammation: the linking mechanism and the complications.

Authors:  Mohammed S Ellulu; Ismail Patimah; Huzwah Khaza'ai; Asmah Rahmat; Yehia Abed
Journal:  Arch Med Sci       Date:  2016-03-31       Impact factor: 3.318

View more
  1 in total

1.  Incidence of hypertension in young transgender people after a 5-year follow-up: association with gender-affirming hormonal therapy.

Authors:  Francisco Javier Martinez-Martin; Agnieszka Kuzior; Alba Hernandez-Lazaro; Ricardo Jose de Leon-Durango; Carlos Rios-Gomez; Borja Santana-Ojeda; Jennifer Maria Perez-Rivero; Paula Maria Fernandez-Trujillo-Comenge; Paula Gonzalez-Diaz; Claudia Arnas-Leon; Carmen Acosta-Calero; Esperanza Perdomo-Herrera; Alba Lucia Tocino-Hernandez; Maria Del Sol Sanchez-Bacaicoa; Maria Del Pino Perez-Garcia
Journal:  Hypertens Res       Date:  2022-10-14       Impact factor: 5.528

  1 in total

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