Literature DB >> 33030665

Interplay between male testosterone levels and the risk for subsequent invasive respiratory assistance among COVID-19 patients at hospital admission.

Stefano Salciccia1, Francesco Del Giudice2,3, Vincenzo Gentile1, Claudio M Mastroianni4, Patrizia Pasculli4, Giovanni Di Lascio1, Maria Rosa Ciardi4, Isabella Sperduti5, Martina Maggi1, Ettore De Berardinis1, Michael L Eisenberg6, Alessandro Sciarra1.   

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Year:  2020        PMID: 33030665      PMCID: PMC7543668          DOI: 10.1007/s12020-020-02515-x

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


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A growing body of evidence has demonstrated higher age, male sex, and medical comorbidity as risk factors for COVID-19 mortality [1]. In particular, male sex, and older age were found to be significant determinants for severe SARS-CoV-2 phenotype supporting the hypothesis that hormonal constitution may be an etiology for both COVID-19 susceptibility and acute respiratory distress syndrome (ARDS) development. Moreover, differences between male and female immune responses is well known establishing that genetics and sex hormones are important for the immunogenic sex-bias [2]. Higher serum total testosterone (TT) levels are associated with an immunosuppressive role on different components of the immune cell-mediated response [3]. Pozzilli et al. [4] hypothesized a role for TT in the clinical course of the SARS-CoV-2 leading to multiorgan failure. We aimed to evaluate whether serum TT levels among a cohort of 29 COVID-19 men at the time of hospital admission were associated with the need for “invasive” oxygenation strategy (i.e., Ventimask, CPAP, intubation) and may allow for patient monitoring and predict disease outcome. Patients’ haemato-chemical and clinical characteristics are reported in Table 1. After adjusting for Age-adjusted Charlson Comorbidity Index, history of hypertension, dyslipidemia, and smoking status, higher serum TT levels (ng/ml) were found independently associated with a lower odd of invasive oxygenation (odds ratio: 0.43, 95% CI: 0.23–0.85; p = 0.016). In addition, linear regression was used to examine the correlation between serum TT and haemato-chemical variables of interest. A significant negative correlation was found between TT and C-reactive protein, pH, Interleukine-6 (IL-6), and D-Dimer. Of note, a significant positive correlation was established among TT levels and Monocytes (×109/l) (Fig. 1a), while no significant correlation was further observed with regard of the other white blood cells lines (e.g., WBC, CD4+, CD8+ lymphocytes or NK cells). Additionally, one-way ANOVA was used to test the differences between continuous TT and IL-6 values for the different respiratory assistance strategies confirming as thresholds of interest <3.5–4 ng/ml for impaired T, while identifying >50 pg/ml for significantly elevated IL-6 (Fig. 1b). Locally weighted scatter-plot smoother function was used to graphically depict the relationship concerning these two variables and the probability of their mutual interaction for the previously defined thresholds (Fig. 1c).
Table 1

Clinical and haemato-chemical characteristics of COVID-19 patients at hospital admission

VariablesNone O2 assistanceInvasive O2 assistance(Ventimask, CPAP, Intubation)p value*
Sample size, n (%)9 (31.0)20 (69.0)
Age, years58 (23–90)70 (35–86)0.084
ACCI score, median (range)3 (0–5)3 (0–8)0.315
Comorbidity, n (%)
 Hypertension3 (33.3)12 (60.0)0.245
 Diabetes3 (33.3)6 (30.0)0.858
 Dyslipidemia3 (33.3)3 (15.0)0.339
 History of Neoplasm2 (22.2)3 (15.0)0.633
 CVD1 (11.1)3 (15.0)0.779
 CKD1 (11.1)2 (10.0)0.928
 Lung disease1 (11.1)3 (15.0)0.779
 Smoking status5 (55.5)9 (45)0.70
Complete blood count

 HGB, g/dl

 Nr: 12–15.5

13.5 (11.7–15.3)11.6 (9.9–14.5)0.02

 HCT, %

 Nr: 41–50

41.6 (36.7–43.2)35.7 (28.7–41.8)0.017

 WBC, ×109/l

 Nr: 4.40–11.30

6.61 (3.90–17.26)7.52 (3.06–23.61)0.647

 PLT, ×109/l

Nr: 150.0–450.0

191.0 (167.0–633.0)232.0 (142.0–547.0)0.873

 Lymphocytes, ×109/l

Nr: 1.00–4.80

1.17 (0.67–2.39)0.75 (0.27–4.16)0.650

 Lymphocytes CD4+, n°/μl

Nr: 410.0–1590.0

384.0 (291.0–1349.0)524.5 (97.0–1485.0)0.775

 Lymphocytes CD4+, %

Nr: 31.0–60.0

45.3 (16.2–59.7)36.0 (20.6–74.4)0.461

 Lymphocytes CD8+, n°/μl

Nr: 190.0–1140.0

330.0 (224.0–1244.0)221.0 (78.0–1117.0)0.246

 Lymphocytes CD8+, %

Nr: 13.0–41.0

27.7 (16.6–69.5)23.3 (12.2–46.7)0.461

 CD4+/CD8+, ratio

Nr: 0.60–2.80

1.64 (0.23–3.61)1.64 (0.71–5.57)0.958

 NK cells, n°/μl

Nr: 90.0–590.0

160.0 (121.0–251.0)82.0 (13.0–604.0)0.360

 NK cells, %

Nr: 5.0–27.0

14.7 (6.6–18.3)8.5 (1.7–40.2)0.433

 Lymphocytes B, n°/μl

Nr: 90.0–660.0

113.0 (52.0–254.0)137.0 (22.0–314.0)0.512

 Lymphocytes B, %

Nr: 6.0–25.0

9.2 (5.4–13.3)10.3 (2.9–36.2)0.433

 Monocytes, ×109/l

Nr: 0.10–1.00

0.42 (0.28–1.63)0.33 (0.07–1.33)0.162

 Monocytes, %

Nr: 3.5–10.5

8.5 (2.2–11.2)5.9 (1.9–10.1)0.071
Blood chemistry

 Creatinine, mg/dl

Nr: 0.70–1.20

0.95 (0.80–2.00)0.90 (0.40–1.70)0.421

 Testosterone, ng/ml

Nr: 2.80–8.00

5.40 (1.38–6.05)2.54 (0.25–6.95)0.003

 IL-6, pg/ml

Nr: 1.50–7.00

9.30 (0.60–41.70)88.00 (6.80–195.40)0.001

 CRP, mg/dl

Nr: 0.00–0.50

3.14 (13.00–24.50)12.33 (0.31–46.91)0.006

 LDH, U/l

Nr: 135.0–225.0

223.5 (141.0–424.0)338.5 (143.0–951.0)0.115

 Lac, mmol/l

Nr: 0.3–0.7

0.7 (0.6–1.4)1.1 (0.6–3.4)0.175

 Na+, mmol/l

Nr: 136.0–145.0

137.0 (133.0–142.0)135.0 (131.0–144.0)0.229

 K+, mmol/l

Nr: 3.40–5.50

3.97 (3.41–4.60)3.80 (3.19–5.00)0.671

 D-Dimer, ng/ml

Nr: < 500

484.5 (170–4473)1146 (376–4486)0.124
Vital signs

 pH

Nr: 7.35–7.45

7.44 (7.42–7.48)7.49 (7.43–7.53)0.018

 pO2, mmHg

Nr: 83.0–108.0

101.0 (84.0–135.0)67.5 (46.0–131.0)0.028

 PaO2/FiO2, mmHg

Nr: 200–400

480.0 (400.0–576.0)286.0 (172.0–566.0)0.006

 SO2, %

Nr: 94.0–98.0

98.0 (91.0–99.0)95.5 (82.0–99.0)0.459

Results are presented as n (%) or median (range)

ACCI age-adjusted Charlson Comorbidity Index, ICU intensive care unit, CPAP continuous positive airway pressure, CVD cardiovascular disease, CKD chronic kidney disease, WBC white blood cells, PLT platelets, NK natural killer, IL-6 interleukin-6, CRP C-reactive protein, LDH lactate dehydrogenase, Lac lactate

*p values according to Fisher’s Exact test or Mann–Whitney U test when appropriate

Fig. 1

a Scatter plots and Spearman’s rank correlation test of total testosterone (ng/ml) with haemato-chemical and vital signs among the COVID-19 cohort population. CRP C-reactive protein (mg/dl), IL-6 interleukine-6 (pg/ml). b Box plots and one-way ANOVA testing the differences between continuous total testosterone (TT) and interleukine-6 (IL-6) values for the different respiratory assistance strategies. c Locally weighted scatter-plot smoother (LOWESS) function depicting the predicted probability of reciprocal interaction between total testosterone (TT) and interleukine-6 (IL-6)

Clinical and haemato-chemical characteristics of COVID-19 patients at hospital admission HGB, g/dl Nr: 12–15.5 HCT, % Nr: 41–50 WBC, ×109/l Nr: 4.40–11.30 PLT, ×109/l Nr: 150.0–450.0 Lymphocytes, ×109/l Nr: 1.00–4.80 Lymphocytes CD4+, n°/μl Nr: 410.0–1590.0 Lymphocytes CD4+, % Nr: 31.0–60.0 Lymphocytes CD8+, n°/μl Nr: 190.0–1140.0 Lymphocytes CD8+, % Nr: 13.0–41.0 CD4+/CD8+, ratio Nr: 0.60–2.80 NK cells, n°/μl Nr: 90.0–590.0 NK cells, % Nr: 5.0–27.0 Lymphocytes B, n°/μl Nr: 90.0–660.0 Lymphocytes B, % Nr: 6.0–25.0 Monocytes, ×109/l Nr: 0.10–1.00 Monocytes, % Nr: 3.5–10.5 Creatinine, mg/dl Nr: 0.70–1.20 Testosterone, ng/ml Nr: 2.80–8.00 IL-6, pg/ml Nr: 1.50–7.00 CRP, mg/dl Nr: 0.00–0.50 LDH, U/l Nr: 135.0–225.0 Lac, mmol/l Nr: 0.3–0.7 Na+, mmol/l Nr: 136.0–145.0 K+, mmol/l Nr: 3.40–5.50 D-Dimer, ng/ml Nr: < 500 pH Nr: 7.35–7.45 pO2, mmHg Nr: 83.0–108.0 PaO2/FiO2, mmHg Nr: 200–400 SO2, % Nr: 94.0–98.0 Results are presented as n (%) or median (range) ACCI age-adjusted Charlson Comorbidity Index, ICU intensive care unit, CPAP continuous positive airway pressure, CVD cardiovascular disease, CKD chronic kidney disease, WBC white blood cells, PLT platelets, NK natural killer, IL-6 interleukin-6, CRP C-reactive protein, LDH lactate dehydrogenase, Lac lactate *p values according to Fisher’s Exact test or Mann–Whitney U test when appropriate a Scatter plots and Spearman’s rank correlation test of total testosterone (ng/ml) with haemato-chemical and vital signs among the COVID-19 cohort population. CRP C-reactive protein (mg/dl), IL-6 interleukine-6 (pg/ml). b Box plots and one-way ANOVA testing the differences between continuous total testosterone (TT) and interleukine-6 (IL-6) values for the different respiratory assistance strategies. c Locally weighted scatter-plot smoother (LOWESS) function depicting the predicted probability of reciprocal interaction between total testosterone (TT) and interleukine-6 (IL-6) Male hypogonadism is typically of the aging male. Nevertheless, in our cohort, while age was not significantly different among the two groups (p = 0.082), TT levels were significantly lower in the ARDS group (p = 0.003) and associated with worse clinical COVID-19 phenotype. Additionally, considering the observed inverse relationship between IL-6 and TT levels, we speculate that greater TT levels could serve as hormonal shield against the COVID-19-related cytokine syndrome. Similarly, low TT levels may allow the viral infection due to a loss of immunosuppressive effect of TT. Our results are in line with the recently reported experience by Rastrelli et al. [5]. In addition, we were able to identify serum TT levels at hospital admission as a potential biomarker for the requirement for invasive respiratory assistance. Although at first glance our thesis may appear conflicting with recent experiences suggesting possible protective role of androgen deprivation therapy (ADT) through the androgen receptor-mediated regulation of TMPRSS2 gene, relevant for SARS-CoV-2 introduction into host cells, thus outlining certain similitude to the “saturation model” proposed for the association between testosterone and prostate cancer [6], we actually believe that such theories are complementary and identify two diametrically opposite susceptibility profiles to contract the viral infection on the one hand and to develop clinically significant respiratory manifestations on the other. Evidence from unrelated studies point to a possible immunosuppressive role of TT on different components of the immune system and in different phases of the immune response [3, 7, 8]. Based on the role of the variation in androgen levels throughout life [9], testosterone could play a double-edged role in the natural history of COVID-19 infection. In the early phase, the immunosuppressive action of testosterone could explain male’s greater susceptibility to infection therefore leading to speculate a protective role of ADT. On the contrary when the infection occurred, in elderly males who frequently develop ARDS, late-onset hypogonadism could result in a lower immunosuppressive effect on the cytokine storm release as pointed out from our analysis. Certain limitations warrant mention. First, the retrospective design and limited sample size expose the current analysis to bias and the role of chance. However, given that testicular parenchyma was recently found as a potential target of SARS-CoV-2 infection [10], we might possibly postulate Leydig cells involvement with subsequent TT levels impairment in the etiopathogenesis of the more severe ARDS cases. Moreover, our data allowed us only to make implications on the clinical severity at hospital admission but not to better define the role of TT in later history of the disease. While promising, the interplay between TT levels and COVID-19 require additional study to determine the utility of TT in clinical practice.
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1.  Higher serum testosterone and dihydrotestosterone, but not oestradiol, are independently associated with favourable indices of lung function in community-dwelling men.

Authors:  Shalini S Mohan; Matthew W Knuiman; Mark L Divitini; Alan L James; Arthur W Musk; David J Handelsman; Jonathan Beilin; Michael Hunter; Bu B Yeap
Journal:  Clin Endocrinol (Oxf)       Date:  2015-03-05       Impact factor: 3.478

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Authors:  Abhishek Trigunaite; Joana Dimo; Trine N Jørgensen
Journal:  Cell Immunol       Date:  2015-02-14       Impact factor: 4.868

3.  Longitudinal effects of aging on serum total and free testosterone levels in healthy men. Baltimore Longitudinal Study of Aging.

Authors:  S M Harman; E J Metter; J D Tobin; J Pearson; M R Blackman
Journal:  J Clin Endocrinol Metab       Date:  2001-02       Impact factor: 5.958

4.  Androgens are bronchoactive drugs that act by relaxing airway smooth muscle and preventing bronchospasm.

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Authors:  M Montopoli; S Zumerle; R Vettor; M Rugge; M Zorzi; C V Catapano; G M Carbone; A Cavalli; F Pagano; E Ragazzi; T Prayer-Galetti; A Alimonti
Journal:  Ann Oncol       Date:  2020-05-06       Impact factor: 32.976

7.  Commentary: Testosterone, a key hormone in the context of COVID-19 pandemic.

Authors:  Paolo Pozzilli; Andrea Lenzi
Journal:  Metabolism       Date:  2020-04-27       Impact factor: 8.694

8.  Low testosterone levels predict clinical adverse outcomes in SARS-CoV-2 pneumonia patients.

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Journal:  Andrology       Date:  2020-06-03       Impact factor: 4.456

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

10.  scRNA-seq Profiling of Human Testes Reveals the Presence of the ACE2 Receptor, A Target for SARS-CoV-2 Infection in Spermatogonia, Leydig and Sertoli Cells.

Authors:  Zhengpin Wang; Xiaojiang Xu
Journal:  Cells       Date:  2020-04-09       Impact factor: 6.600

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3.  Sex Differences and COVID-19.

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Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  Andrological effects of SARS-Cov-2 infection: a systematic review and meta-analysis.

Authors:  G Corona; W Vena; A Pizzocaro; F Pallotti; D Paoli; G Rastrelli; E Baldi; N Cilloni; M Gacci; F Semeraro; A Salonia; S Minhas; R Pivonello; A Sforza; L Vignozzi; A M Isidori; A Lenzi; M Maggi; F Lombardo
Journal:  J Endocrinol Invest       Date:  2022-05-09       Impact factor: 5.467

Review 5.  Aging versus youth: Endocrine aspects of vulnerability for COVID-19.

Authors:  Seda Hanife Oguz; Meltem Koca; Bulent Okan Yildiz
Journal:  Rev Endocr Metab Disord       Date:  2021-04-16       Impact factor: 9.306

Review 6.  Testosterone target therapy: focus on immune response, controversies and clinical implications in patients with COVID-19 infection.

Authors:  Stefano Salciccia; Francesco Del Giudice; Michael L Eisenberg; Claudio M Mastroianni; Ettore De Berardinis; Gian Piero Ricciuti; Pietro Viscuso; Antonella Zingaropoli; Patrizia Pasculli; Maria Rosa Ciardi; Alessandro Sciarra; Martina Maggi
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Review 7.  The role of sexual dimorphism in susceptibility to SARS-CoV-2 infection, disease severity, and mortality: facts, controversies and future perspectives.

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Review 8.  Androgenetic alopecia and COVID-19: A review of the hypothetical role of androgens.

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9.  Androgen-deprivation therapy and SARS-Cov-2 infection: the potential double-face role of testosterone.

Authors:  Stefano Salciccia; Francesco Del Giudice; Michael L Eisenberg; Claudio M Mastroianni; Ettore De Berardinis; Gian Piero Ricciuti; Martina Maggi; Alessandro Sciarra
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10.  Modeling the Contribution of Male Testosterone Levels to the Duration of Positive COVID Testing among Hospitalized Male COVID-19 Patients.

Authors:  Stefano Salciccia; Michael L Eisenberg; Martina Maggi; Silvia Lai; Claudio Maria Mastroianni; Patrizia Pasculli; Maria Rosa Ciardi; Vittorio Canale; Matteo Ferro; Gian Maria Busetto; Ettore De Berardinis; Gian Piero Ricciuti; Alessandro Sciarra; Francesco Del Giudice
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