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Review

Sex-Related Differences in Drugs with Anti-Inflammatory Properties

by
André Farkouh
1,*,
Christoph Baumgärtel
2,
Roman Gottardi
3,
Margit Hemetsberger
4,
Martin Czejka
1 and
Alexandra Kautzky-Willer
5
1
Department of Pharmaceutical Sciences, University of Vienna, 1090 Vienna, Austria
2
AGES Austrian Medicines and Medical Devices Agency and Austrian Federal Office for Safety in Health Care, 1200 Vienna, Austria
3
Vascular Surgery, MediClin Heart Institute Lahr/Baden, 77933 Lahr, Germany
4
Hemetsberger Medical Services, 1070 Vienna, Austria
5
Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, 1090 Vienna, Austria
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(7), 1441; https://doi.org/10.3390/jcm10071441
Submission received: 17 February 2021 / Revised: 18 March 2021 / Accepted: 27 March 2021 / Published: 1 April 2021
(This article belongs to the Special Issue Gender Medicine: Pharmacometabolomics and Personalized Medicine)

Abstract

:
There is increasing evidence of sex differences in the action of anti-inflammatory drugs, with women being at significantly higher risk of adverse effects. Nevertheless, clinicians’ awareness of the implications of these sex differences on dosing and adverse event monitoring in routine practice is still in need of improvement. We reviewed the literature evaluating sex differences in terms of pharmacokinetics and pharmacodynamics of anti-inflammatory drugs. The anti-thrombotic activity of selective and non-selective COX-inhibitors tends to be stronger in men than women. Side effect profiles differ with regards to gastro-intestinal, renal and hepatic complications. Glucocorticosteroids were found to be more effective in men; women were more sensitive to corticosteroids when their oestradiol levels were high, a finding important for women taking hormonal contraception. TNF-alpha inhibitors have a longer half-life in men, leading to stronger immunosuppression and this a higher incidence of infections as side effects. Although research on sex differences in the effectiveness and safety of drugs is increasing, findings are often anecdotal and controversial. There is no systematic sex-differentiated reporting from clinical trials, and women are often under-represented. As personalized medicine is gaining in importance, sex, and gender aspects need to become integral parts of future research and policy making.

1. Introduction

Numerous investigations have documented that women, in general, are dispensed more prescription and over-the-counter (OTC) drugs compared to men [1]. Gender-specific differences may play an important role in pharmacotherapy, which was long underestimated. Furthermore, incidences of several diseases differ between men and women. For instance, women suffer more often and more severely from osteoporosis [2], asthma [3], migraines [4], depression [5], irritable bowel diseases [6], or autoimmune diseases such as rheumatoid arthritis, lupus erythematosus, or multiple sclerosis [7,8]. In contrast, men are more likely to suffer from various forms of cancer e.g., hepatocellular carcinoma [9] or cardiovascular diseases [10]. In this context, it must be noted that women typically display a later onset of coronary heart disease than men [10]. This may be related to cardioprotective effects of oestrogen [10,11].
In the past, research has focused on the male organism, and women tended to be under-represented in clinical trials, as were female rodent models from pre-clinical research [12,13,14,15]. However, an increasing number of studies have shown sex-specific differences in the effects of drugs which, while mostly pharmacokinetic in nature, can also be caused by pharmacodynamic differences [14,16]. There are also trivial aspects that play a partly decisive role: on average, women have lower body height and weight than men so that a given drug dose leads to a higher concentration of the active ingredient in women. Women have a higher body-fat ratio while their body-water ratio is lower, which has major effects on the concentration, distribution, and effect duration of drugs [16,17]. Hence, lipophilic agents have a higher volume of distribution (Vd) in women, while hydrophilic active ingredients have a lower Vd. Therefore, identical doses of a lipophilic drug led to lower plasma concentrations in women than men, while a hydrophilic one leads to higher plasma concentrations [16].
There are also remarkable differences between the sexes regarding the activity of drug metabolizing enzymes, both in phase I (drug functionalization) and phase II (drug conjugation). Additionally, some efflux transporters like P-glycoprotein (P-gp, ABCB1) and the Breast Cancer Resistance Protein (BCRP) are more active in men than in women [18,19,20,21]. Potential mechanisms behind the differential functioning of male and female bodies have been reviewed extensively elsewhere [15,21,22,23].
Irrespective of the known sex disparities, a uniform pharmacological treatment approach has been followed for men and women, most notably, women are treated with drug doses derived from studies carried out on men. Hence, women suffer twice as often from drug-induced side effects, e.g., drug-induced long QT syndrome [24].

2. Materials and Methods

This review focuses on inflammation and describes important examples of anti-inflammatory drugs, including some OTC drugs, with substantial and clinically relevant sex-related differences in their pharmacokinetic and pharmacodynamic properties. It also discusses the consequences of these disparities for prescription and use of such drugs. However, important topics such as sociocultural gender and biomarkers were not addressed. PubMed (incl. PubMed Central and Medline) was searched using the following search terms and their combinations: “gender”, “differences”, “pharmacokinetics”, “pharmacodynamics”, “NSAID”, “steroid”, and “anti-inflammatory”. Additionally, reference lists of identified articles and key systematic reviews were searched manually. Relevant articles in English and German published between 1985 and 2021 were considered.

3. Sex-Specific Differences in Immune Responses and Inflammatory Diseases

The body’s immune response, i.e., the body’s protection and defence system against both its own and foreign antigens, is substantially different between the sexes. In general, the body at first responds to tissue damage or pathogen intrusion (e.g., virus, bacteria, fungal infection or parasites) with an acute inflammation. These inflammatory processes serve to mitigate the harmful influence, and to initiate healing and regeneration processes. However, if this fine-tuned cascade spirals out of control, the inflammation cannot be stopped and leads to chronic inflammatory disease [25].
As reviewed extensively by Klein et al., numerous studies have shown remarkable sex disparities regarding the activities of the innate and adaptive immune systems (Figure 1) [26].
It could be shown, for instance, that elderly women have a more active innate and adaptive immune system than men of the same age [27]. However, age seems to be a key factor as the immune responses and inflammation activities are more pronounced in boys up to puberty but afterwards, are more pronounced in women [28].
Research of the underlying mechanisms has shown very complex differences in numerous immune cells driving the innate and the adaptive immune responses. For innate immunity, it could be shown that the phagocytosis by neutrophils and macrophages, the macrophages’ activity, the type-1 interferon (IFN) activity of the dendritic cells, and the efficiency of the antigen-presenting cells are all more pronounced in female cells than in their male counterparts (Table 1) [7,26].
In contrast, men have higher numbers of natural killer (NK) cells and the expression of toll-like receptors (TLR) on macrophages and neutrophils. With regard to acquired immunity, women have more B-lymphocytes and, therefore, better antibody production, higher amounts of active T-lymphocytes with higher proliferation rates, more CD4+ cells, and a pronounced T-cell cytotoxicity. Men, on the other hand, have higher concentrations of regulated T-lymphocytes and CD8+ cells [26].
Due to the more active immune system in women, it is obvious that their inflammatory response will be stronger than mens. Various pro-inflammatory processes, e.g., the release of the immune-stimulating IFN-γ and interleukin (IL)-17 by T-lymphocytes or the plasma levels of cytokines such as tumour necrosis factor (TNF) and IL-6, are more pronounced in women [26]. On the other hand, the release of the inflammation-inhibiting cytokines IL-4 and IL-10 following the leukocyte stimulation are more pronounced in men.
Differences in male and female immune responses were also observed in patients who had acquired SARS-CoV-2 [29]. Male sex is associated with more hospitalizations, more severe course of disease, and higher mortality [30]. Studies found lower T-cell frequencies and activation in men [31,32], downregulation of B-cell activity and NK cell activating receptors in men [32], as well as a predominance of men among patients with neutralizing IgG autoantibodies against IFN-ω and/or IFN-α, enabling easier SARS-CoV-2 infections [33,34,35]. Sex differences in immune responses have been shown to cause differences in vaccine effectiveness [35,36]. Interestingly, analyses for sex differences are mostly lacking or of a rudimentary level in reports of trials investigating antiviral drugs, corticosteroids, and–importantly–vaccines [35,36,37].
Sex discrepancies between the innate and acquired immune responses are not only caused by their sex chromosomes but also by differences in sexual hormones [38]. Many genes on the female X-chromosome (e.g., genes for TLR) regulate immune function and contribute to the predominance of autoimmune diseases in women [26,38]. Polymorphisms of the male Y-chromosome contribute to the higher susceptibility to viral infections. The so-called Klinefelter syndrome in men is caused by an extra X-chromosome and is associated with a reduced testosterone level and increased oestrogen levels [39]. Men with Klinefelter syndrome develop autoimmune diseases more often, and their immune response is similar to that of women. For example, the immunoglobulin concentration and numbers of B-cells and CD4+-T-cells in men with Klinefelter syndrome are elevated but can be reduced through testosterone therapy [40].
Oestradiol stimulates the inflammation process in accordance with the higher inflammation activity of the female immune cells, while testosterone acts on inflammation inhibitors [38,41]. Half of the genes in activated T-cells have response elements for oestrogen receptors. Testosterone is generally classified as antinociceptive while oestradiol and progesterone can act as a pro- as well as an antinociceptive agents. In experiments using castrated rats, oestradiol substitution reduced the pain threshold while testosterone substitution increased it [42]. Interestingly, high oestradiol levels in patients with rheumatoid arthritis suppressed the pain threshold while lower concentrations stimulated it [43]. Oestradiol increases the formation of immunoglobulin, the release of IFN-γ from leukocytes and the activity of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) in T-lymphocytes [26,43]. Testosterone reduces elevated biosynthetic pro-inflammatory leukotriene levels in granulocytes and monocytes, and high testosterone plasma levels correlate with lower leukotriene formation in women [44].
In addition to influencing the pathophysiology of inflammation, sex hormones affect the pharmacodynamics and pharmacokinetics of drugs [21]. For example, oestradiol slows gastric emptying, increases the body-fat ratio, and reduces the amount of α1-glycoprotein, which non-specifically binds alkaline drugs. Furthermore, sex hormones such as oestrogen (primarily as oestradiol) in women and androgens (primarily testosterone) in men are directly or indirectly involved in many transmembrane transport processes [21].
Taken together, these findings have profound consequences on the defence mechanisms against infections, autoimmune diseases, malignant diseases, and on vaccinations.

4. Drugs with Anti-Inflammatory Properties

Due to the fact that inflammatory diseases predominate in women, they use anti-inflammatory drugs and painkillers much more often [45].

4.1. Non-Steroidal Anti-Inflammatory Drugs (NSAIDs)

NSAIDs are the most frequently used anti-inflammatory drugs. They suppress the binding of pro-inflammatory prostaglandins and thromboxane by non-specific inhibition of cyclooxygenase (COX)-1 and COX-2. Age and sex-specific disparities regarding side effects of various COX-1/2 non-selective NSAIDs have been identified [46]. For example, men experience more frequent serious gastrointestinal events than women [46,47]. In a case control study conducted in a French pharmacovigilance database, a direct correlation between NSAID exposure and liver injury was found in women but not in men [48]. In a case control study of 88 cases and 178 controls, a significant association was found between liver injury and NSAID exposure in women (odds ratio [OR] = 6.49 [95% CI 1.67–25.16]) but not in men [OR = 1.06 (0.36–3.12)] [49]. It has been hypothesized that this may be due to different pharmacokinetics or circulating hormone levels, polypharmacy in women or generally higher risk of drug-induced liver injury in women [48,50]. However, a similar risk of NSAID-induced acute liver injury for men and women and younger versus elderly participants was found in a retrospective cohort study [51]. Additionally, no difference between men and women using NSAIDs was found for the risk of Parkinson’s disease [52].

4.1.1. Acetylsalicylic Acid (ASA, Aspirin)

ASA has a special place amongst the NSAIDs because it irreversibly inhibits prostaglandin and thromboxane production by the COX-1 enzyme. Moreover, through acetylation of COX-2, it causes the formation of anti-inflammatory lipoxins (so-called ASA-triggered 15-epi-lipoxin, ATL) [53], which are much more predominant in women than men [54]. In addition to often being used for treating fevers, mild to medium pain, and inflammation, it is also used as thrombosis prophylaxis.
Due to its efficacy in inhibiting the formation of thromboxane A2 in platelets, ASA is a strong antiplatelet agent. It is also well established in the secondary prevention of cardiovascular diseases with similar benefits for both men and women. Its use in primary prevention is controversially discussed owing to contradictory results between the sexes [21,44]. Extensive studies have shown that low dose ASA (100–300 mg) protects men from myocardial infarction but not from ischemic stroke, with opposing findings in women [55,56]. Aggregation studies using female platelets found lower effectiveness of ASA to inhibit platelet aggregation, which may be due to the influence of female sex hormones [57].
However, these observations from clinical practice cannot be accurately understood using pharmacokinetic models, because the resorption rate for ASA varies greatly between individuals and depends, among other factors, on the filling state of the stomach and on the gastric pH, with better resorption at low pH [21,58]. Since women have a slightly higher gastric pH, a lower absorption would be expected. On the other hand, since the activity of the glucuronidating enzymes is lower in women, the excretion of absorbed ASA is retarded by 30–40% [59].
A retrospective review of patients using drugs interfering with the defence mechanism of the gastrointestinal mucosa, including ASA, warfarin, NSAIDs, or selective serotonin re-uptake inhibitors (SSRIs), reported a male preponderance for upper gastrointestinal bleeding and an equal sex distribution among lower gastrointestinal bleeding [60]. In contrast, women taking low-dose ASA regularly, especially at age greater than 70 years, experienced an increased risk of gastrointestinal complications [59,61].

4.1.2. Ibuprofen

Ibuprofen, another commonly used drug in the NSAID class, has a high therapeutic importance especially in the treatment of mild to moderate pain and fever. After rapid oral absorption the area under the plasma concentration-time curve (AUC) is dose-dependent, with extensive binding to plasma albumin [21,62].
Apparently, the analgesic effect predominates in men. Experimental studies have shown that men, who have a higher threshold and greater tolerance for electrically induced pain, responded significantly to ibuprofen, while women did not [63,64]. In other experiments, however, the pain lowering effect of ibuprofen was comparable in men and women [65]. Pharmacokinetic discrepancies for ibuprofen between men and women have not been observed. Therefore, the alleged better analgesic effect in men remains unclear. It is hypothesized that the difference in study outcomes is due to differences in the type of pain receptors involved in experimental pain models as opposed to pain experienced in clinical practice and also to nociceptive mechanisms. The potential sex difference in nociception might be connected to oestrogen effects on the activity of the nervous system, resulting in an improved transmission of pain impulses [21,64,66].
Furthermore, the results of one study highlighted that elderly males and those with coronary artery disease were at greater risk of ibuprofen-induced renal impairment compared to acetaminophen recipients [67]. Renal function should thus be monitored in these high-risk patients, especially in long-term users.

4.1.3. Diclofenac

Several published reports found greater susceptibility for diclofenac-related liver injury among women than men [49,68,69,70,71]. In an analysis of 180 cases of hepatic injury associated with diclofenac, female patients were at significantly higher risk of injury (relative risk 2.0; p < 0.001) [68]. However, currently available evidence concerning differences between men and women is limited and does not support differentiation in dosing or treatment [72].

4.1.4. Naproxen

One investigation on osteoarthritis patients found significantly higher plasma concentrations of naproxen in women than men, increasing proportionately with womens age [20,73]. However, no association between increased plasma concentrations and adverse events or efficacy was reported [73]. Studies in rats showed higher unbound interstitial fluid concentrations and lower 50% inhibitory concentration (IC50) values for naproxen in male animals, leading to overall stronger effects [74].

4.2. Selective COX-2 Inhibitors-Coxibs

Selective COX-2 inhibitors are associated less with gastrointestinal complications and abdominal symptoms than non-selective COX inhibitors.
Surveys have shown that 85% of COX-2-selective inhibitors are prescribed to women [75]. Paradoxically, sex-specific data from clinical trials are underreported. One analysis reports that 80% of the investigated rofecoxib trials did not describe efficacy results by sex and only one trial reported side effects by sex [76]. An Italian study found a higher risk of adverse reactions to COX-2 selective inhibitors in women than men [77].
Etoricoxib, a selective COX-2 inhibitor and a member of the bipyridine class, is available in numerous countries in Europe. The current scientific evidence shows a clear underrepresentation of women in published etoricoxib trials, specifically in phase I studies. Sex-stratified data on efficacy and adverse effects are scarce in these investigations. Nevertheless, a comparative study reported a higher risk of thrombosis in women using etoricoxib [78].
A study investigated vasoregulation in young patients with type 1 diabetes, hypothesizing that COX-2 inhibition would be associated with preferential vasoconstriction in women and would augment their response to angiotensin II [79]. In this study, maintenance of normal renal and peripheral blood vessel function was more dependent on vasodilatory prostaglandins such as angiotensin II in women compared with men. COX-2 inhibition eliminated this sex difference.

4.3. Glucocorticoids

Synthetic glucocorticoids are used as anti-inflammatory agents in an effort to mimic the role of their natural counterparts as primary mammalian anti-inflammatory hormones. A study in rat liver tissue, a classic glucocorticoid-responsive organ, explored sexually dimorphic actions of glucocorticoid regulation of gene expression. A comparison of the number of genes involved in inflammatory disorders revealed 84 additional glucocorticoid-responsive genes in male rats, suggesting that glucocorticoids are more effective in males. A sepsis model of systemic inflammation substantiated these gender-specific actions of glucocorticoids in vivo [80].
In humans, sex differences in the metabolism of cortisol have been reported [81,82]. One investigation showed considerable sex differences in both the production and metabolism of cortisol. In particular, a sex difference in 11 beta-hydroxysteroid dehydrogenase (11-HSD) activity was identified, with relatively greater conversion of cortisol to cortisone in women [82]. Cortisol and testosterone secretion patterns were found to be associated with variations in the incidence of cardiovascular disease, type 2 diabetes, and hypertension in men [83].

4.3.1. Prednisone

Prednisone is commonly used in the treatment of myasthenia gravis, with highly variable dosages and dosing frequencies reflecting the absence of a standard protocol. Intolerable adverse effects were more commonly reported among women, leading to an unwillingness to accept a dose increase [84].

4.3.2. Methylprednisolone

Women are more sensitive to methylprednisolone: they eliminate the drug more quickly, showing a greater clearance and a shorter elimination half-life. Consequently, a significantly smaller IC50 value for suppression of cortisol secretion was observed in women [85]. The IC50 values for effects of methylprednisolone on basophil trafficking related to oestradiol concentrations in women, with increased sensitivity found at higher oestradiol concentrations—a finding particularly important in the view of the number of women worldwide taking hormonal contraception [85,86]. It was suggested, however, that women’s increased sensitivity to methylprednisolone was balanced by their quicker drug elimination [85].

4.3.3. Hydrocortisone

A study investigated the pharmacokinetics of hydrocortisone in pubertal patients with congenital adrenal hyperplasia [87]. When corrected for body mass index (BMI), cortisol clearance was higher, and the volume of distribution was greater in males than females. There was no difference in the half-life of total cortisol between the sexes. Free cortisol clearance did not differ significantly between the sexes, however, the BMI-corrected volume of distribution was higher in males and the half-life was significantly shorter in females [87].

4.4. TNF-Alpha Inhibitors

Etanercept was the first tumour necrosis factor (TNF) inhibitor approved by the FDA for the treatment of rheumatoid arthritis. Today these medications are used worldwide to treat autoimmune diseases such as Bechterew’s disease, rheumatoid arthritis, juvenile and psoriatic arthritis, inflammatory bowel disease (Crohn’s and ulcerative colitis), and psoriasis. Presently, two principles of TNF-alpha blockade are available: Etanercept is a soluble TNF receptor, while infliximab, adalimumab and golimumab are monoclonal antibodies against TNF; certolizumab is a pegylated antibody.
It is assumed that the androgens in the synovial tissue of men enhance the effect of TNF blockers, e.g., in Bechterew’s disease [75]. TNF inhibitors also have a longer half-life in men. However, blocking TNF causes immune suppression and, thus, a higher risk of developing serious infections [88]. Men more frequently experience infections as side-effects of TNF inhibitors than women, however, men with Bechterew’s disease on average show longer treatment adherence than women. The most frequent TNF inhibitor side-effects observed in women are toxic liver disease and lupus-like syndrome [89,90]. Moreover, the female sex has been associated with more severe adverse reactions to anti-TNF antibody treatment in patients with inflammatory bowel disease and paediatric Crohn’s disease [91,92,93].

4.5. Antileukotrienes

Antileukotrienes like the receptor antagonist montelukast act by inhibiting the lipoxygenase pathway, which is involved in the formation of pro-inflammatory leukotrienes from arachidonic acid. Therapies with these agents reduce exercise-induced asthma and have a modest suppressive effect on asthma symptoms.
Age and sex differences in montelukast efficacy were observed. In a randomized, controlled trial, boys aged 2 to 5 years showed greater benefit than did older boys, whereas among girls, the treatment effect was most evident in 10- to 14-year-olds. Moreover, non-significant effects were observed in younger girls [94].
Furthermore, examinations show that leukocytes such as neutrophils, monocytes and macrophages produce considerably lower amounts of leukotrienes in the 5-lipoxygenase pathway in men than in women [95,96,97]. The suppressive effect of endogenous testosterone in men, which causes changes in the localization of the key enzyme 5-lipoxygenase in leukocytes, might explain this observation [96,97].

5. Summary and Conclusions

Sex is an important factor in epidemiology, pathophysiology, clinical manifestations, disease progression, and response to treatment [22]. We have not addressed the equally important aspect of sociocultural gender, which has recently been reviewed elsewhere [22,23,98]. The field of sex and gender research is slowly gaining speed, but fundamental evidence gaps still need to be addressed to better understand the way these characteristics function independently and together to influence health, disease, and health care [22,23]. Importantly, more work is needed to standardize the way sex and gender are reported in clinical research and adequate transparency needs to be demanded by editorial policies and regulators [98,99,100]. Ideally, demographics, disease characteristics, and all outcome data should be disaggregated by sex, gender, or both, and studies should be powered adequately [101,102]. Clinicians’ awareness of sex- and gender-informed decision-making must be raised through appropriate continuous medical education, and routinely be incorporated into clinical decision-making [22,23].
In summary, research has demonstrated the importance of biological differences between men and women due to genetics, genome regulation, epigenetics, endogenous factors, and sociocultural, exogenous factors in variations seen in the safety and efficacy of drugs as well as the incidence, presentation, and diagnosis of diseases. There are ever-increasing efforts to identify biomarkers to individualize diagnosis and treatment, but often neglecting sex and gender. Sex and gender are an integral part of the personalized approach and need to gain importance in future research efforts, medical education, and policy making.

Author Contributions

Conceptualization, A.F.; literature research, A.F. and M.H.; writing—original draft preparation, A.F. and M.H.; writing—review and editing, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Open Access Funding by the University of Vienna.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Karlsson Lind, L.; von Euler, M.; Korkmaz, S.; Schenck-Gustafsson, K. Sex differences in drugs: The development of a comprehensive knowledge base to improve gender awareness prescribing. Biol. Sex Differ. 2017, 8, 32–40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Alswat, K.A. Gender disparities in osteoporosis. J. Clin. Med. Res. 2017, 9, 382–387. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Fuseini, H.; Newcomb, D.C. Mechanisms driving gender differences in asthma. Curr. Allergy Asthma Rep. 2017, 17, 19–28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Stewart, W.F.; Wood, C.; Reed, M.L.; Roy, J.; Lipton, R.B. Cumulative Lifetime Migraine Incidence in Women and Men. Cephalalgia 2008, 28, 1170–1178. [Google Scholar] [CrossRef]
  5. Kuehner, C. Why is depression more common among women than among men? Lancet Psychiatry 2017, 4, 146–158. [Google Scholar] [CrossRef]
  6. Chang, L.; Heitkemper, M.M. Gender differences in irritable bowel syndrome. Gastroenterology 2002, 123, 1686–1701. [Google Scholar] [CrossRef] [PubMed]
  7. Ngo, S.T.; Steyn, F.J.; McCombe, P.A. Gender differences in autoimmune disease. Front. Neuroendocrinol. 2014, 35, 347–369. [Google Scholar] [CrossRef] [Green Version]
  8. van Vollenhoven, R.F. Sex differences in rheumatoid arthritis: More than meets the eye. BMC Med. 2009, 7, 12–16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Beutler, B.D.; Ulanja, M.B.; Krishan, R.; Aluru, V.; Ndukwu, M.L.; Hagen, M.M.; Dupin, Z.D.; Willyard, C.E.; Moody, A.E.; Boampong-Konam, K.; et al. Sociodemographic Characteristics as Predictors of Outcomes in Hepatocellular Carcinoma: A Retrospective Cohort Study. Cancer Control 2020, 27, 1–11. [Google Scholar] [CrossRef]
  10. . Gao, Z.; Chen, Z.; Sun, A.; Deng, X. Gender differences in cardiovascular disease. Med. Nov. Technol. Devices 2019, 4, 100025. [Google Scholar] [CrossRef]
  11. . Cho, D.-H.; Choi, J.; Kim, M.-N.; Kim, H.-L.; Kim, Y.H.; Na, J.O.; Jeong, J.-O.; Yoon, H.J.; Shin, M.-S.; Kim, M.-A.; et al. Gender differences in the presentation of chest pain in obstructive coronary artery disease: Results from the Korean Women’s Chest Pain Registry. Korean J. Intern. Med. 2020, 35, 582–592. [Google Scholar] [CrossRef] [Green Version]
  12. Fleisch, J.; Fleisch, M.C.; Thurmann, P.A. Women in early-phase clinical drug trials: Have things changed over the past 20 years? Clin. Pharmacol. Ther. 2005, 78, 445–452. [Google Scholar] [CrossRef]
  13. Müllner, M.; Vamvakas, S.; Rietschel, M.; Van Zwieten-Boot, B. Are women appropriately represented and assessed in clinical trials submitted for marketing authorization? A review of the database of the European Medicines Agency. Int. J. Clin. Pharmacol. Ther. 2007, 45, 477–484. [Google Scholar] [CrossRef]
  14. Franconi, F.; Campesi, I. Sex and gender influences on pharmacological response: An overview. Expert Rev. Clin. Pharmacol. 2014, 7, 469–485. [Google Scholar] [CrossRef]
  15. Klein, S.L.; Schiebinger, L.; Stefanick, M.L.; Cahill, L.; Danska, J.; De Vries, G.J.; Kibbe, M.R.; McCarthy, M.M.; Mogil, J.S.; Woodruff, T.K.; et al. Opinion: Sex inclusion in basic research drives discovery. Proc. Natl. Acad. Sci. USA 2015, 112, 5257–5258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Soldin, O.P.; Mattison, D.R. Sex differences in pharmacokinetics and pharmacodynamics. Clin. Pharmacokinet. 2009, 48, 143–157. [Google Scholar] [CrossRef] [Green Version]
  17. Gandhi, M.; Aweeka, F.; Greenblatt, R.M.; Blaschke, T.F. Sex differences in pharmacokinetics and pharmacodynamics. Annu. Rev. Pharmacol. Toxicol. 2004, 44, 499–523. [Google Scholar] [CrossRef]
  18. Schwartz, J.B. The influence of sex on pharmacokinetics. Clin. Pharmacokinet. 2003, 42, 107–121. [Google Scholar] [CrossRef] [PubMed]
  19. Harris, R.Z.; Benet, L.Z.; Schwartz, J.B. Gender effects in pharmacokinetics and pharmacodynamics. Drugs 1995, 50, 222–239. [Google Scholar] [CrossRef] [PubMed]
  20. Tanaka, E. Gender-related differences in pharmacokinetics and their clinical significance. J. Clin. Pharm. Ther. 1999, 24, 339–346. [Google Scholar] [CrossRef] [PubMed]
  21. Farkouh, A.; Riedl, T.; Gottardi, R.; Czejka, M.; Kautzky-Willer, A. Sex-Related Differences in Pharmacokinetics and Pharmacodynamics of Frequently Prescribed Drugs: A Review of the Literature. Adv. Ther. 2020, 37, 644–655. [Google Scholar] [CrossRef] [PubMed]
  22. Mauvais-Jarvis, F.; Merz, N.B.; Barnes, P.J.; Brinton, R.D.; Carrero, J.-J.; DeMeo, D.L.; De Vries, G.J.; Epperson, C.N.; Govindan, R.; Klein, S.L.; et al. Sex and gender: Modifiers of health, disease, and medicine. Lancet 2020, 396, 565–582. [Google Scholar] [CrossRef]
  23. Bartz, D.; Chitnis, T.; Kaiser, U.B.; Rich-Edwards, J.W.; Rexrode, K.M.; Pennell, P.B.; Goldstein, J.M.; O’Neal, M.A.; LeBoff, M.; Behn, M.; et al. Clinical advances in sex- and gender-informed medicine to improve the health of all: A review. JAMA Intern. Med. 2020, 180, 574–583. [Google Scholar] [CrossRef] [PubMed]
  24. Martin, R.M.; Biswas, P.N.; Freemantle, S.N.; Pearce, G.L.; Mann, R.D. Age and sex distribution of suspected adverse drug reactions to newly marketed drugs in general practice in England: Analysis of 48 cohort studies. Br. J. Clin. Pharmacol. 1998, 46, 505–511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Tabas, I.; Glass, C.K. Anti-inflammatory therapy in chronic disease: Challenges and opportunities. Science 2013, 339, 166–172. [Google Scholar] [CrossRef] [Green Version]
  26. Klein, S.L.; Flanagan, K.L. Sex differences in immune responses. Nat. Rev. Immunol. 2016, 16, 626–638. [Google Scholar] [CrossRef]
  27. Al-Attar, A.; Presnell, S.R.; Peterson, C.A.; Thomas, D.; Lutz, C.T. The effect of sex on immune cells in healthy aging: Elderly women have more robust natural killer lymphocytes than do elderly men. Mech. Ageing Dev. 2016, 156, 25–33. [Google Scholar] [CrossRef]
  28. Bupp, M.R.G.; Potluri, T.; Fink, A.L.; Klein, S.L. The Confluence of Sex Hormones and Aging on Immunity. Front. Immunol. 2018, 9, 1269. [Google Scholar] [CrossRef]
  29. Ursin, R.L.; Shapiro, J.R.; Klein, S.L. Sex-biased immune responses following SARS-CoV-2 infection. Trends Microbiol. 2020, 28, 952–954. [Google Scholar] [CrossRef]
  30. Global Health 50/50. The Sex, Gender and Covid-19 Project. The COVID-19 sex-Disaggregated Data Tracker. Available online: https://globalhealth5050.org (accessed on 9 February 2021).
  31. Takahashi, T.; Ellingson, M.K.; Wong, P.; Israelow, B.; Lucas, C.; Klein, J.; Silva, J.; Mao, T.; Oh, J.E.; Tokuyama, M.; et al. Sex differences in immune responses that underlie COVID-19 disease outcomes. Nature 2020, 588, 315–320. [Google Scholar] [CrossRef]
  32. van der Made, C.I.; Simons, A.; Schuurs-Hoeijmakers, J.; van den Heuvel, G.; Mantere, T.; Kersten, S.; van Deuren, R.C.; Steehouwer, M.; van Reijmersdal, S.V.; Jaeger, M.; et al. Presence of genetic variants among young men with severe COVID-19. JAMA 2020, 324, 1–11. [Google Scholar] [CrossRef] [PubMed]
  33. Bastard, P.; Rosen, L.B.; Zhang, Q.; Michailidis, E.; Hoffmann, H.-H.; Zhang, Y.; Dorgham, K.; Philippot, Q.; Rosain, J.; Béziat, V.; et al. Auto-antibodies against type I IFNs in patients with life-threatening COVID-19. Sciences 2020, 370, eabd4585. [Google Scholar] [CrossRef] [PubMed]
  34. Klein, S.L.; Pekosz, A.; Park, H.-S.; Ursin, R.L.; Shapiro, J.R.; Benner, S.E.; Littlefield, K.; Kumar, S.; Naik, H.M.; Betenbaugh, M.J.; et al. Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population. J. Clin. Investig. 2020, 130, 6141–6150. [Google Scholar] [CrossRef]
  35. Wray, S.; Arrowsmith, S. The physiological mechanisms of the sex-based difference in outcomes of COVID19 infection. Front. Physiol. 2021, 12, 627260. [Google Scholar] [CrossRef] [PubMed]
  36. Chang, W.H. A review of vaccine effects on women in light of the COVID-19 pandemic. Taiwan J. Obstet. Gynecol. 2020, 59, 812–820. [Google Scholar] [CrossRef] [PubMed]
  37. Schiffer, V.M.M.M.; Janssen, E.B.N.J.; van Bussel, B.C.T.; Jorissen, L.L.M.; Tas, J.; Sels, J.E.M.; Bergmans, D.C.J.J.; Dinh, T.H.T.; van Kuijk, S.M.J.; Hana, A.; et al. The “sex gap” in COVID-19 trials: A scoping review. E Clin. Med. 2020, 29, 100652. [Google Scholar]
  38. Ansar Ahmed, S.; Penhale, W.J.; Talal, N. Sex hormones, immune responses, and autoimmune diseases. Mechanisms of sex hormone action. Am. J. Pathol. 1985, 121, 531–551. [Google Scholar]
  39. Bizzarro, A.; Valentini, G.; Di Martino, G.; Daponte, A.; De Bellis, A.; Iacono, G. Influence of Testosterone Therapy on Clinical and Immunological Features of Autoimmune Diseases Associated with Klinefelter’s Syndrome. J. Clin. Endocrinol. Metab. 1987, 64, 32–36. [Google Scholar] [CrossRef]
  40. Koçar, I.H.; Yesilova, Z.; Özata, M.; Turan, M.; Sengül, A.; Özdemir, I.Ç. The effect of testosterone replacement treatment on immunological features of patients with Klinefelter’s syndrome. Clin. Exp. Immunol. 2000, 121, 448–452. [Google Scholar] [CrossRef]
  41. Bouman, A.; Heineman, M.J.; Faas, M.M. Sex hormones and the immune response in humans. Hum. Reprod. Update 2005, 11, 411–423. [Google Scholar] [CrossRef] [Green Version]
  42. Khasar, S.G.; Isenberg, W.M.; Miao, F.J.-P.; Gear, R.W.; Green, P.G.; Levine, J.D. Gender and gonadal hormone effects on vagal modulation of tonic nociception. J. Pain 2001, 2, 91–100. [Google Scholar] [CrossRef]
  43. Straub, R.H. The complex role of estrogens in inflammation. Endocr. Rev. 2007, 28, 521–574. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Pace, S.; Sautebin, L.; Werz, O. Sex-biased eicosanoid biology: Impact for sex differences in inflammation and consequences for pharmacotherapy. Biochem. Pharmacol. 2017, 145, 1–11. [Google Scholar] [CrossRef] [PubMed]
  45. Leresche, L. Defining gender disparities in pain management. Clin. Orthop. Relat. Res. 2011, 469, 1871–1877. [Google Scholar] [CrossRef] [Green Version]
  46. Neutel, C.I.; Maxwell, C.J.; Appel, W.C. Differences between males and females in risk of NSAID-related severe gastrointestinal events. Pharmacoepidemiol. Drug Saf. 1999, 8, 501–507. [Google Scholar] [CrossRef]
  47. Castellsague, J.; Holick, C.N.; Hoffman, C.C.; Gimeno, V.; Stang, M.R.; Perez-Gutthann, S. Risk of upper gastrointestinal complications associated with cyclooxygenase-2 selective and nonselective nonsteroidal antiinflammatory drugs. Pharmacotherapy 2009, 29, 1397–1407. [Google Scholar] [CrossRef]
  48. Soussan, C.; Gouraud, A.; Portolan, G.; Jean-Pastor, M.-J.; Pecriaux, C.; Montastruc, J.-L.; Damase-Michel, C.; Lacroix, I. Drug-induced adverse reactions via breastfeeding: A descriptive study in the French Pharmacovigilance Database. Eur. J. Clin. Pharmacol. 2014, 70, 1361–1366. [Google Scholar] [CrossRef] [PubMed]
  49. Lacroix, I.; Lapeyre-Mestre, M.; Bagheri, H.; Pathak, A.; Montastruc, J. General Practitioner the Club de Reflexion des cabinets de Groupe de Gastro-Enterologie (CREGG) and General Practitioner Networks Nonsteroidal anti-inflammatory drug-induced liver injury: A case-control study in primary care. Fundam. Clin. Pharmacol. 2004, 18, 201–206. [Google Scholar] [CrossRef] [PubMed]
  50. Leise, M.D.; Poterucha, J.J.; Talwalkar, J.A. Drug-induced liver injury. Mayo Clin. Proc. 2014, 89, 95–106. [Google Scholar] [CrossRef] [Green Version]
  51. Rodríguez, L.A.G.; Williams, R.; Derby, L.E.; Dean, A.D.; Jick, H. Acute Liver Injury Associated With Nonsteroidal Anti-inflammatory Drugs and the Role of Risk Factors. Arch. Intern. Med. 1994, 154, 311–316. [Google Scholar] [CrossRef]
  52. Samii, A.; Etminan, M.; Wiens, M.O.; Jafari, S. NSAID use and the risk of Parkinson’s disease: Systematic review and meta-analysis of observational studies. Drugs Aging 2009, 26, 769–779. [Google Scholar] [CrossRef] [PubMed]
  53. Chiang, N.; Bermudez, E.A.; Ridker, P.M.; Hurwitz, S.; Serhan, C.N. Aspirin triggers antiinflammatory 15-epi-lipoxin A4 and inhibits thromboxane in a randomized human trial. Proc. Natl. Acad. Sci. USA 2004, 101, 15178–15183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Chiang, N.; Hurwitz, S.; Ridker, P.M.; Serhan, C.N. Aspirin has a gender-dependent impact on antiinflammatory 15-epi-lipoxin A4 formation: A randomized human trial. Arter. Thromb. Vasc. Biol. 2006, 26, e14–e17. [Google Scholar] [CrossRef] [Green Version]
  55. Manson, J.E.; Grobbee, D.E.; Stampfer, M.J.; Taylor, J.O.; Goldhaber, S.Z.; Gaziano, J.; Ridker, P.M.; Buring, J.E.; Hennekens, C.H. Aspirin in the primary prevention of angina pectoris in a randomized trial of United States physicians. Am. J. Med. 1990, 89, 772–776. [Google Scholar] [CrossRef]
  56. Regitz-Zagrosek, V. Therapeutic implications of the gender-specific aspects of cardiovascular disease. Nat. Rev. Drug Discov. 2006, 5, 425–438. [Google Scholar] [CrossRef]
  57. Zuern, C.S.; Lindemann, S.; Gawaz, M. Platelet function and response to aspirin: Gender-specific features and implications for female thrombotic risk and management. Semin. Thromb. Hemost. 2009, 35, 295–306. [Google Scholar] [CrossRef]
  58. Ho, P.C.; Triggs, E.J.; Bourne, D.W.; Heazlewood, V.J. The effects of age and sex on the disposition of acetylsalicylic acid and its metabolites. Br. J. Clin. Pharmacol. 1985, 19, 675–684. [Google Scholar] [CrossRef]
  59. Schwartz, J.B. Gender-specific implications for cardiovascular medication use in the elderly optimizing therapy for older women. Cardiol. Rev. 2003, 11, 275–298. [Google Scholar] [CrossRef]
  60. Ahsberg, K.; Höglund, P.; Kim, W.-H.; Von Holstein, C.S. Impact of aspirin, NSAIDs, warfarin, corticosteroids and SSRIs on the site and outcome of non-variceal upper and lower gastrointestinal bleeding. Scand. J. Gastroenterol. 2010, 45, 1404–1415. [Google Scholar] [CrossRef]
  61. Okada, K.; Inamori, M.; Imajyo, K.; Chiba, H.; Nonaka, T.; Shiba, T.; Sakaguchi, T.; Atsukawa, K.; Takahashi, H.; Hoshino, E.; et al. Gender differences of low-dose aspirin-associated gastroduodenal ulcer in Japanese patients. World J. Gastroenterol. 2010, 16, 1896–1900. [Google Scholar] [CrossRef]
  62. Fillingim, R.B. Sex, gender, and pain. In Principles of Gender-Specific Medicine, 3rd ed.; Legato, M.J., Ed.; Academic Press: San Diego, CA, USA, 2017; pp. 481–496. [Google Scholar]
  63. Butcher, B.E.; Carmody, J.J. Sex differences in analgesic response to ibuprofen are influenced by expectancy: A randomized, crossover, balanced placebo-designed study. Eur. J. Pain 2012, 16, 1005–1013. [Google Scholar] [CrossRef]
  64. Walker, J.S.; Carmody, J.J. Experimental pain in healthy human subjects: Gender differences in nociception and in response to ibuprofen. Anesth. Analg. 1998, 86, 1257–1262. [Google Scholar]
  65. Ryan, J.L.; Jureidini, B.; Hodges, J.S.; Baisden, M.; Swift, J.Q.; Bowles, W.R. Gender Differences in Analgesia for Endodontic Pain. J. Endod. 2008, 34, 552–556. [Google Scholar] [CrossRef] [PubMed]
  66. Craft, R.M.; Mogil, J.S.; Aloisi, A.M. Sex differences in pain and analgesia: The role of gonadal hormones. Eur. J. Pain 2004, 8, 397–411. [Google Scholar] [CrossRef] [PubMed]
  67. Murray, M.D.; Brater, D.C.; Tierney, W.M.; Hui, S.L.; McDonald, C.J. Ibuprofen-associated Renal Impairment in a Large General Internal Medicine Practice. Am. J. Med. Sci. 1990, 299, 222–229. [Google Scholar] [CrossRef] [PubMed]
  68. Banks, A.T.; Zimmerman, H.J.; Ishak, K.G.; Harter, J.G. Diclofenac-associated hepatotoxicity: Analysis of 180 cases reported to the Food and Drug Administration as adverse reactions. Hepatology 1995, 22, 820–827. [Google Scholar] [CrossRef]
  69. O’Connor, N.; Dargan, P.I.; Jones, A.L. Hepatocellular damage from non-steroidal anti-inflammatory drugs. QJM 2003, 96, 787–791. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. National Institute of Diabetes and Digestive and Kidney Diseases. LiverTox: Clinical and Research Information on Drug-Induced Liver Injury: Diclofenac; National Institutes of Health: Bethesda, MD, USA, 2012.
  71. Mennecozzi, M.; Landesmann, B.; Palosaari, T.; Harris, G.; Whelan, M. Sex differences in liver toxicity-do female and male human primary hepatocytes react differently to toxicants in vitro? PLoS ONE 2015, 10, e0122786. [Google Scholar] [CrossRef] [PubMed]
  72. Karlsson Lind, L.; Loikas, D. Janusmed Sex and Gender: Diclofenac. Available online: https://janusinfo.se/beslutsstod/janusmedkonochgenus/janusmedsexandgender/database/diclofenac.4.492f438316ec5fbe7121097b.html (accessed on 12 October 2020).
  73. Rugstad, H.E.; Hundal, Ø.; Holme, I.; Herland, O.B.; Husby, G.; Giercksky, K.-E. Piroxicam and naproxen plasma concentrations in patients with osteoarthritis: Relation to age, sex, efficacy and adverse events. Clin. Rheumatol. 1986, 5, 389–398. [Google Scholar] [CrossRef] [PubMed]
  74. Li, X.; DuBois, D.C.; Almon, R.R.; Jusko, W.J. Modeling sex differences in pharmacokinetics, pharmacodynamics, and disease progression effects of naproxen in rats with collagen-induced arthritis. Drug Metabol. Disp. 2017, 45, 484–491. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Demyanets, S.; Wojta, J. Sex Differences in Effects and Use of Anti-Inflammatory Drugs; Regitz-Zagrosek, V., Ed.; Springer: Berlin/Heidelberg, Germany, 2012; Volume 214. [Google Scholar]
  76. Cascales Perez, S.; Ruiz Cantero, M.T.; Pardo, M.A. Clinical trials with rofecoxib: Analysis of the information from the gender perspective. Med. Clin. 2003, 120, 207–212. [Google Scholar]
  77. Trombetta, D.; Imbesi, S.; Vita, G.; Isola, S.; Minciullo, P.L.; Saija, A.; Gangemi, S. Possible link between history of hypersensitivity to a specific non-steroidal anti-inflammatory drug (NSAID) and positive results following challenge test to alternative NSAIDS. Arzneimittelforschung 2009, 59, 410–414. [Google Scholar] [CrossRef] [PubMed]
  78. Cannon, C.P.; Curtis, S.P.; FitzGerald, G.A.; Krum, H.; Kaur, A.; Bolognese, J.A.; Reicin, A.S.; Bombardier, C.; Weinblatt, M.E.; van der Heijde, D.; et al. Cardiovascular outcomes with etoricoxib and diclofenac in patients with osteoarthritis and rheumatoid arthritis in the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) programme: A randomised comparison. Lancet 2006, 368, 1771–1781. [Google Scholar] [CrossRef]
  79. Cherney, D.Z.I.; Scholey, J.W.; Nasrallah, R.; Dekker, M.G.; Slorach, C.; Bradley, T.J.; Hebert, R.L.; Sochett, E.B.; Miller, J.A. Renal hemodynamic effect of cyclooxygenase 2 inhibition in young men and women with uncomplicated type 1 diabetes mellitus. Am. J. Physiol. Physiol. 2008, 294, F1336–F1341. [Google Scholar] [CrossRef] [Green Version]
  80. Duma, D.; Collins, J.B.; Chou, J.W.; Cidlowski, J.A. Sexually Dimorphic Actions of Glucocorticoids Provide a Link to Inflammatory Diseases with Gender Differences in Prevalence. Sci. Signal. 2010, 3, ra74. [Google Scholar] [CrossRef] [Green Version]
  81. Kurina, L.M.; Weiss, L.A.; Graves, S.W.; Parry, R.; Williams, G.H.; Abney, M.; Ober, C. Sex Differences in the Genetic Basis of Morning Serum Cortisol Levels: Genome-Wide Screen Identifies Two Novel Loci Specific to Women. J. Clin. Endocrinol. Metab. 2005, 90, 4747–4752. [Google Scholar] [CrossRef] [Green Version]
  82. Raven, P.W.; Taylor, N.F. Sex differences in the human metabolism of cortisol. Endocr. Res. 1996, 22, 751–755. [Google Scholar] [CrossRef]
  83. Rosmond, R.; Wallerius, S.; Wanger, P.; Martin, L.; Holm, G.; Bjorntorp, P. A 5-year follow-up study of disease incidence in men with an abnormal hormone pattern. J. Intern. Med. 2003, 254, 386–390. [Google Scholar] [CrossRef] [Green Version]
  84. Lee, I.; Kaminski, H.J.; McPherson, T.; Feese, M.; Cutter, G. Gender differences in prednisone adverse effects: Survey result from the MG registry. Neurol. Neuroimmunol. Neuroinflamm. 2018, 5, e507. [Google Scholar] [CrossRef] [Green Version]
  85. Lew, K.H.; Ludwig, E.A.; Milad, M.A.; Donovan, K.; Middleton, E., Jr.; Ferry, J.J.; Jusko, W.J. Gender-based effects on methylprednisolone pharmacokinetics and pharmacodynamics. Clin. Pharmacol. Ther. 1993, 54, 402–414. [Google Scholar] [CrossRef] [Green Version]
  86. Thurmann, P.A.; Hompesch, B.C. Influence of gender on the pharmacokinetics and pharmacodynamics of drugs. Int. J. Clin. Pharmacol. Ther. 1998, 36, 586–590. [Google Scholar]
  87. Charmandari, E.; Hindmarsh, P.C.; Johnston, A.; Brook, C.G. Congenital adrenal hyperplasia due to 21-hydroxylase deficiency: Alterations in cortisol pharmacokinetics at puberty. J. Clin. Endocrinol. Metab. 2001, 86, 2701–2708. [Google Scholar] [CrossRef]
  88. Burmester, G.R.; Mariette, X.; Montecucco, C.; Monteagudo-Saez, I.; Malaise, M.; Tzioufas, A.G.; Bijlsma, J.W.; Unnebrink, K.; Kary, S.; Kupper, H. Adalimumab alone and in combination with disease-modifying antirheumatic drugs for the treatment of rheumatoid arthritis in clinical practice: The Research in Active Rheumatoid Arthritis (ReAct) trial. Ann. Rheum. Dis. 2007, 66, 732–739. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Mancini, S.; Amorotti, E.; Vecchio, S.; De Leon, M.P.; Roncucci, L. Infliximab-related hepatitis: Discussion of a case and review of the literature. Intern. Emerg. Med. 2010, 5, 193–200. [Google Scholar] [CrossRef]
  90. Williams, V.L.; Cohen, P.R. TNF alpha antagonist-induced lupus-like syndrome: Report and review of the literature with implications for treatment with alternative TNF alpha antagonists. Int. J. Dermatol. 2011, 50, 619–625. [Google Scholar] [CrossRef] [PubMed]
  91. Zelinkova, Z.; Bultman, E.; Vogelaar, L.; Bouziane, C.; Kuipers, E.J.; van der Woude, C.J. Sex-dimorphic adverse drug reactions to immune suppressive agents in inflammatory bowel disease. World J. Gastroenterol. 2012, 18, 6967–6973. [Google Scholar] [CrossRef] [PubMed]
  92. Fidder, H.; Schnitzler, F.; Ferrante, M.; Noman, M.; Katsanos, K.; Segaert, S.; Henckaerts, L.; Van Assche, G.; Vermeire, S.; Rutgeerts, P. Long-term safety of infliximab for the treatment of inflammatory bowel disease: A single-centre cohort study. Gut 2008, 58, 501–508. [Google Scholar] [CrossRef] [Green Version]
  93. Crandall, W.V.; Mackner, L.M. Infusion reactions to infliximab in children and adolescents: Frequency, outcome and a predictive model. Aliment. Pharmacol. Ther. 2003, 17, 75–84. [Google Scholar] [CrossRef] [PubMed]
  94. Johnston, N.W.; Mandhane, P.J.; Dai, J.; Duncan, J.M.; Greene, J.M.; Lambert, K.; Sears, M.R. Attenuation of the September Epidemic of Asthma Exacerbations in Children: A Randomized, Controlled Trial of Montelukast Added to Usual Therapy. Pediatrics 2007, 120, e702–e712. [Google Scholar] [CrossRef]
  95. Pergola, C.; Rogge, A.; Dodt, G.; Northoff, H.; Weinigel, C.; Barz, D.; Radmark, O.; Sautebin, L.; Werz, O. Testosterone suppresses phospholipase D, causing sex differences in leukotriene biosynthesis in human monocytes. FASEB J. 2011, 25, 3377–3387. [Google Scholar] [CrossRef] [PubMed]
  96. Pergola, C.; Dodt, G.; Rossi, A.; Neunhoeffer, E.; Lawrenz, B.; Northoff, H.; Samuelsson, B.; Rådmark, O.; Sautebin, L.; Werz, O. ERK-mediated regulation of leukotriene biosynthesis by androgens: A molecular basis for gender differences in inflammation and asthma. Proc. Natl. Acad. Sci. USA 2008, 105, 19881–19886. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Pace, S.; Pergola, C.; Dehm, F.; Rossi, A.; Gerstmeier, J.; Troisi, F.; Pein, H.; Schaible, A.M.; Weinigel, C.; Rummler, S.; et al. Androgen-mediated sex bias impairs efficiency of leukotriene biosynthesis inhibitors in males. J. Clin. Investig. 2017, 127, 3167–3176. [Google Scholar] [CrossRef] [Green Version]
  98. Sex Gender Sensitive Research Call to Action Group; Wainer, Z.; Carcel, C. Sex and gender in health research: Updating policy to reflect evidence. Med. J. Aust. 2020, 212, 57–62.e51. [Google Scholar] [PubMed] [Green Version]
  99. European Medicines Agency. Gender Considerations in the Conduct of Clinical Trials. Available online: https://www.ema.europa.eu/en/documents/scientific-guideline/ich-gender-considerations-conduct-clinical-trials-step-5_en.pdf (accessed on 27 November 2020).
  100. US Food and Drug Administration. Regulations, Guidance, and Reports Related to Women’s Health. Available online: https://www.fda.gov/science-research/womens-health-research/regulations-guidance-and-reports-related-womens-health (accessed on 27 November 2020).
  101. Clayton, J.A.; Tannenbaum, C. Reporting sex, gender, or both in clinical research? JAMA 2016, 316, 1863–1864. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Leopold, S.S.; Beadling, L.; Dobbs, M.B.; Gebhardt, M.C.; Lotke, P.A.; Manner, P.A.; Rimnac, C.M.; Wongworawat, M.D. Fairness to all: Gender and sex in scientific reporting. Clin. Orthop. Relat. Res. 2014, 472, 391–392. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Gender-specific differences in immune responses and inflammatory diseases. Multiple immunological factors vary between the sexes throughout the course of life. For certain factors (for example, pro-inflammatory responses), the sex differences change at puberty and then wane in later life, suggesting hormonal effects. For other factors, the sex difference remains constant from birth to old age (for example, higher numbers of CD4+ T cells and CD4/CD8 T cell ratios in females). The paucity of studies in this area is notable, particularly in utero sex differences in which results are conflicting. IL-10, interleukin-10; NK, natural killer; Treg, regulatory T. Reproduced with permission from [26].
Figure 1. Gender-specific differences in immune responses and inflammatory diseases. Multiple immunological factors vary between the sexes throughout the course of life. For certain factors (for example, pro-inflammatory responses), the sex differences change at puberty and then wane in later life, suggesting hormonal effects. For other factors, the sex difference remains constant from birth to old age (for example, higher numbers of CD4+ T cells and CD4/CD8 T cell ratios in females). The paucity of studies in this area is notable, particularly in utero sex differences in which results are conflicting. IL-10, interleukin-10; NK, natural killer; Treg, regulatory T. Reproduced with permission from [26].
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Table 1. Sex differences in innate and adaptive immune responses in adults *.
Table 1. Sex differences in innate and adaptive immune responses in adults *.
Immune ComponentCharacteristicSex Difference
Sex differences in the innate immune system
TLR pathwaysTLR pathway gene expressionHigher in females
TLR7 expressionHigher in females
IL-10 production by TLR9-stimulated PBMCsHigher in males
APCsAPC efficiencyHigher in females
Dendritic cellsTLR7 activityHigher in females
Type 1 interferon activityHigher in females
MacrophagesTLR4 expressionHigher in males
ActivationHigher in females
Phagocytic capacityHigher in females
Pro-inflammatory cytokine productionHigher in males
IL-10 productionHigher in females
NeutrophilsPhagocytic capacityHigher in females
TLR expressionHigher in males
NK cellsNK cell numbersHigher in males
Sex differences in the adaptive immune system
ThymusSize of thymusLarger in males
T cellsCD4+ T cell countsHigher in females
CD4/CD8 T cell ratioHigher in females
CD8+ T cell countsHigher in males
Number of activated T cellsHigher in females
T cell proliferationGreater in females
Cytotoxic T cellsIncreased cytotoxic activity in females
TH1 versus TH2 cell biasTH2 cell bias in females, TH1 cell bias in males
Treg cell numbersIncreased in males
B cellsB cell numbersIncreased in females
ImmunoglobulinsAntibody productionHigher in females
APC, antigen-presenting cell; IL, interleukin; NK, natural killer; PBMCs, peripheral blood mononuclear cells; TH, T helper; TLR, Toll-like receptor; Treg, regulatory T. * Based on data from humans and rodents and primary cell cultures. Reproduced with permission from [26].
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Farkouh, A.; Baumgärtel, C.; Gottardi, R.; Hemetsberger, M.; Czejka, M.; Kautzky-Willer, A. Sex-Related Differences in Drugs with Anti-Inflammatory Properties. J. Clin. Med. 2021, 10, 1441. https://doi.org/10.3390/jcm10071441

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Farkouh A, Baumgärtel C, Gottardi R, Hemetsberger M, Czejka M, Kautzky-Willer A. Sex-Related Differences in Drugs with Anti-Inflammatory Properties. Journal of Clinical Medicine. 2021; 10(7):1441. https://doi.org/10.3390/jcm10071441

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Farkouh, André, Christoph Baumgärtel, Roman Gottardi, Margit Hemetsberger, Martin Czejka, and Alexandra Kautzky-Willer. 2021. "Sex-Related Differences in Drugs with Anti-Inflammatory Properties" Journal of Clinical Medicine 10, no. 7: 1441. https://doi.org/10.3390/jcm10071441

APA Style

Farkouh, A., Baumgärtel, C., Gottardi, R., Hemetsberger, M., Czejka, M., & Kautzky-Willer, A. (2021). Sex-Related Differences in Drugs with Anti-Inflammatory Properties. Journal of Clinical Medicine, 10(7), 1441. https://doi.org/10.3390/jcm10071441

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