Literature DB >> 25114159

Demographic evidence of sex differences in vulnerability to infectious diseases.

Michel Garenne1.   

Abstract

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Year:  2014        PMID: 25114159      PMCID: PMC4279781          DOI: 10.1093/infdis/jiu448

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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To the Editor—The journal's recent supplement on sex differences in susceptibility and response to infectious diseases was an excellent initiative for promoting research on a neglected topic of major interest [1-8]. If, in general, males show a higher susceptibility to many infectious diseases, the reviews displayed a number of infectious and autoimmune diseases for which females are more vulnerable. Differential vulnerability between males and females may come from exposure, infection (local or systemic), immune reaction, or a combination of these factors. Evidence came mainly from medicine, epidemiology (direct observation), and biology (animal models and in vivo observation). I address another dimension: demographic evidence. We directed a population observatory in Niakhar, Senegal, West Africa, in which a comprehensive demographic surveillance system (DSS) monitored causes of death, as well as family behavior. In this population, there was no evidence of any differential behavior between boys and girls, as is generally true in African countries [9]. But mortality was higher for girls than for boys for selected diseases (measles and pertussis), despite similar incidences. Furthermore, a randomized controlled trial of the Edmonston-Zagreb high-titer measles vaccine demonstrated a higher susceptibility to measles virus among girls [10]. Following these observations, my colleagues and I reviewed death statistics published by the World Health Organization (WHO), with special attention to measles [11, 12]. These are medically certified causes of death, gathered and standardized by the WHO. In this huge sample of 15.8 million deaths, there was clear evidence that female mortality was higher from some infectious and parasitic diseases but not from others. Furthermore, female mortality was higher at certain ages, especially among older children and young adults, but not at other ages (Table 1). For most diseases, exposure and infection could be considered similar for males and females, so that mortality variations suggested differential resistance to severe infection.
Table 1.

Select Diseases With Marked Sex Differences in Mortality

Etiologic AgentHigher Male Mortality, All AgesHigher Female Mortality
Ages 1–49 yYoung Adults
VirusesPoliomyelitis, hepatitis CSmallpox, measles, rubellaHepatitis B, influenza
BacteriaTyphoid fever, anthrax, meningococcal infection, tetanusPertussis, streptococcal infection (scarlet fever, erysipelas)Cholera, shigellosis, diphtheria, paratyphoid fever, syphilis
MycobacteriaTuberculosis, leprosy
ParasitesMalaria, trypanosomiasis, schistosomiasisAncylostomiasis

Data are from the World Health Statistics Database (http://www.who.int/gho/publications/world_health_statistics/2014/en/).

Select Diseases With Marked Sex Differences in Mortality Data are from the World Health Statistics Database (http://www.who.int/gho/publications/world_health_statistics/2014/en/). The higher female mortality from selected causes and in certain age groups in high-mortality populations was documented earlier, although with fewer details [13]. In our study, the age groups with higher female mortality were highly specific. Excess female mortality was rarely found among individuals aged <1 year, was common at ages 1–11 years, very common at ages 12–24 years, common at ages 25–49 years, but rare at ages ≥50 years, and it varied by disease. In 1997, we proposed a theory to explain sex differences in mortality based on the T-helper type 1 (Th1)/Th2 balance [11]. In brief, it states that hormones interfere with immunity, so that females appear to be more vulnerable to diseases for which an excessive Th2 response is deleterious. This may explain why sex differences vary with age: childhood is an age of mini-puberty, 12–24 years is the age of puberty and early adulthood, and age ≥50 years is beyond the occurrence of menopause, all with very different hormonal profiles. A few examples will illustrate the changing pattern by age. Higher female mortality from tuberculosis and leprosy is found among women aged <25 years but not among those aged ≥25 years [11]. Human immunodeficiency virus (HIV) is also interesting: in African heterosexual epidemics, the lifetime risk of contracting the virus is about the same for men and women. However, young women (ie, those aged 15–24 years) seem to be more susceptible, with major consequences for the dynamics of the epidemics [14]. Furthermore, hormonal contraception could interfere with susceptibility to HIV, and this applies to those aged <25 years but not to those aged ≥25 years [15]. The genetic characteristics of the organisms seem to play an independent role. In another study, based on causes-of-death statistics in the United States, my colleagues and I showed that Spanish influenza virus had a different tropism by age and sex than other influenza viruses: it killed proportionately more young males and fewer older persons [16]. So, a minor change in the genetic characteristics of the virus may have a huge effect on age-specific and sex-specific mortality. The precise mechanisms remain unknown. Last, various other factors may interact with the Th1/Th2 responses and change the outcome of infection. In a randomized trial, my colleagues and I showed that zinc supplementation, known to affect the Th1/Th2 balance, had a differential effect on childhood diseases among boys and girls [17]. During the past 150 years, most infectious diseases for which females were more vulnerable have been controlled, so that females gained a serious advantage over males. This may not last forever if other diseases with higher male mortality are also controlled, so that autoimmune diseases may become a leading cause of death. In the current situation, however, males are paying a price for their different hormonal system and continue to be more vulnerable to many infectious diseases, to many noncommunicable diseases, and to accidents and violence.
  16 in total

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2.  Sexist diseases.

Authors:  M Garenne; M Lafon
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Review 3.  Sex-based biology and the rational design of influenza vaccination strategies.

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4.  Sex differences in measles mortality: a world review.

Authors:  M Garenne
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Review 5.  Sex bias in the outcome of human tropical infectious diseases: influence of steroid hormones.

Authors:  Hannah Bernin; Hanna Lotter
Journal:  J Infect Dis       Date:  2014-07-15       Impact factor: 5.226

6.  Biological differences between the sexes and susceptibility to tuberculosis.

Authors:  Shepherd Nhamoyebonde; Alasdair Leslie
Journal:  J Infect Dis       Date:  2014-07-15       Impact factor: 5.226

7.  Hormonal contraception and HIV prevalence in four African countries.

Authors:  Pauline M Leclerc; Nicolas Dubois-Colas; Michel Garenne
Journal:  Contraception       Date:  2008-03-19       Impact factor: 3.375

8.  Sex-specific responses to zinc supplementation in Nouna, Burkina Faso.

Authors:  Michel Garenne; Heiko Becher; Yasome Ye; Bokar Kouyate; Olaf Müller
Journal:  J Pediatr Gastroenterol Nutr       Date:  2007-05       Impact factor: 2.839

9.  Fitting the HIV epidemic in Zambia: a two-sex micro-simulation model.

Authors:  Pauline M Leclerc; Alan P Matthews; Michel L Garenne
Journal:  PLoS One       Date:  2009-05-05       Impact factor: 3.240

Review 10.  Sex differences in pediatric infectious diseases.

Authors:  Maximilian Muenchhoff; Philip J R Goulder
Journal:  J Infect Dis       Date:  2014-07-15       Impact factor: 5.226

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2.  Innate Sex Bias of Staphylococcus aureus Skin Infection Is Driven by α-Hemolysin.

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4.  Endothelial glycocalyx degradation and disease severity in Plasmodium vivax and Plasmodium knowlesi malaria.

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5.  Women live longer than men even during severe famines and epidemics.

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6.  Sexual Dimorphic Responses in Lymphocytes of Healthy Individuals after Carica papaya Consumption.

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Journal:  Front Immunol       Date:  2017-06-09       Impact factor: 7.561

Review 7.  Translational Rodent Models for Research on Parasitic Protozoa-A Review of Confounders and Possibilities.

Authors:  Totta Ehret; Francesca Torelli; Christian Klotz; Amy B Pedersen; Frank Seeber
Journal:  Front Cell Infect Microbiol       Date:  2017-06-07       Impact factor: 5.293

8.  Vitamin A status, inflammation adjustment, and immunologic response in the context of acute febrile illness: A pilot cohort study among pediatric patients.

Authors:  Susannah Colt; Bryan M Gannon; Julia L Finkelstein; Mildred P Zambrano; Joyce K Andrade; Elizabeth Centeno-Tablante; Avery August; David Erickson; Washington B Cárdenas; Saurabh Mehta
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9.  Sex and Urbanicity Contribute to Variation in Lymphocyte Distribution across Ugandan Populations.

Authors:  Prossy Naluyima; Leigh Anne Eller; Benson J Ouma; Denis Kyabaggu; Peter Kataaha; David Guwatudde; Hannah Kibuuka; Fred Wabwire-Mangen; Merlin L Robb; Nelson L Michael; Mark S de Souza; Johan K Sandberg; Michael A Eller
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

10.  Concurrent wasting and stunting among under-five children in Niakhar, Senegal.

Authors:  Michel Garenne; Mark Myatt; Tanya Khara; Carmel Dolan; André Briend
Journal:  Matern Child Nutr       Date:  2018-11-25       Impact factor: 3.092

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