Annalena Venneri
Diego Ruano Caballero
Lakshmi Rajagopal- 1Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
- 2Department of Medicine and Surgery, University of Parma, Parma, Italy
- 3Institute of Biochemistry, Universidad de Sevilla, Seville, Spain
- 4Pychiatry and Behavioral Sciences, North Western University, Evanston, IL, United States
Editorial on the Research Topic
Sex differences in aging: a cognitive and behavioral perspective
One among the contributing factors of physiological cognitive decline is aging. Age is the most consistently reported demographic risk factor for Alzheimer's disease (AD) and other forms of neurodegenerative dementia (Guerreiro and Bras, 2015). The effect of aging on cognitive functions is the largest and most consistent influence documented by extensive research (Lipnicki et al., 2013). A strong aging effect is also recognizable when cellular mechanisms are examined (Hou et al., 2019). Research has revealed interesting biological interactions with other genetic, environmental or social factors. An interplay between aging and sex is also frequently reported (Laplume et al., 2022; Alotaibi et al., 2023). There are extensive biological dissimilarities between the sexes as well as differences in cognitive architecture that interact with the aging process influencing differently aging trajectories in males and females. Sex-related differences influence the risk of age-related neurodegenerative conditions that impair cognitive health, with greater risk for AD having been reported in females (Altmann et al., 2014; Mielke, 2018; Burke et al., 2019; Gaugler et al., 2019). Research indicates that females have an increased risk of AD with an odds-risk ratio of 1.56 (95% CI: 1.16–2.10) relative to males (Gao et al., 1998). A possible explanation for this finding might be related to the effects of hormonal changes in older females (Yaffe et al., 2000; Riedel et al., 2016), a hypothesis supported by evidence that hormone replacement therapy leads to a 54% reduction in risk in women in a 16 year longitudinal study (Kawas et al., 1997). Sex differences may also be due to males having an increased risk of vascular impairment (Mccullagh et al., 2001; Peters et al., 2019; Drury et al., 2024) and, therefore, they are less likely to develop a pure form of AD or to differences in longevity between the sexes. Females live longer than males and biological and cognitive divergence of aging trajectories might be influenced by this factor (Hagg and Jylhava, 2021). However, additional evidence suggests that sex-differences in dementia risk might be mediated by other factors such as poor education and greater rates of psychological distress in women (Hasselgren et al., 2020). In contrast, males have twice the risk of developing Parkinson's disease than females, but these latter have faster progression of disease and higher mortality rates (Cerri et al., 2019).
It is important to acknowledge and increase our knowledge of the interaction between aging and sex, given the different sex-related greater vulnerability to neurodegenerative conditions in the aging population. This Research Topic has focused on sex differences in aging from a cognitive and behavioral perspective. It offers a variety of viewpoints leading to a better understanding of the interaction between these biological factors and their differential influence on neurocognitive trajectories. The wealth of evidence emerging from this article Research Topic spans across different perspectives.
Cañete and Giménez-Llort in their transgenic model of AD demonstrate sex-specific early AD-phenotype nociceptive biomarkers. These sex specific biomarkers might explain differences in thermal pain sensitivity in men and women with cognitive decline, providing some theoretical rationale for the decreased pain sensitivity of patients with AD, their increased risk of burn injuries and the observed sex-specific differences in thermal pain discrimination. The authors also suggest that these nociceptive biomarkers might serve as detectors of an early AD-phenotype.
Statsenko et al. attempted to model the trajectories of brain atrophy related to aging in males and females. Their findings suggest sex-specific differences in atrophy, indicating that in males atrophy either starts earlier or has a faster rate than in females. In line with progressing atrophy and consequent enlargement of the interhemispheric fissure, cross-life slowing of decision-making was also observed more in general in all participants. The study also suggests that white matter hyperintensities are not a major determinant of brain structural changes and should be considered as a sign of a disease rather than a common outcome of aging, but sex-specific differences were found, with a stronger correlation and greater number of subcortical and periventricular white matter lesions in women than in men.
Foo et al. detected an overall age related decrease in effectiveness of network communication and loss of functional specialization. They also found that women retained more efficient and less segregated networks than men. Their findings suggest that men may have greater vulnerability to cognitive decline with age. These findings contrast with the extensive evidence of greater risk for cognitive decline in women. However, men and women in the sample included in this study have a relatively high education, supporting the suggestion that the disadvantageous sex-gap in risk for cognitive decline for women might be the outcome of psychosocial disadvantage as suggested by Hasselgren et al. (2020) rather than due to biological factors or greater longevity in women.
Wang et al. looked at whether there was any differential age-related relationship between hypertension accompanied with elevated serum total homocysteine (h-hypertension) and cognition between the sexes. H-hypertension confers a greater risk of cerebral disease. Imaging measures of vascular damage, such as white matter hyperintensities, lacunar infarcts and brain atrophy were greater in females with h-hypertension than in controls but there were no differences in males, suggesting a greater relationship between h- hypertension and subcortical ischemic vascular disease in females.
Santiago et al. took a molecular approach to explore sex-specific differences in switch genes that might contribute to the development of Alzheimer's disease (AD). Studying symptomatic AD patients and individuals with intact cognition but AD neuropathology stratified by sex, these authors found sex-specific transcription factors that might be involved in the pathogenesis of AD. They suggest that there are molecular drivers of sex differences that might account for the sex-specific differences in the development of AD.
The final two articles in this Research Topic take a different approach to clarifying the interplay between aging and sex. Jamalabadi et al. looked at whether parenthood modulated differently the effects of brain aging on aspects of structural brain network controllability in males and females. Brain controllability is a relatively new concept in the field of network neuroscience studying how different neural networks or external factors influence the function of other brain networks involved in cognitive functions. These authors found that parenthood counteracts the effects of aging on brain controllability but the effect is greater in parous women. A unique female characteristic, i.e., giving birth, therefore, may distinctly modulate brain controllability dynamics. Lindseth et al. looked at a number of female-specific factors (e.g., hysterectomy without oophorectomy and use of hormone therapy) and found that all influence aging-related cognitive changes, although effects were mixed and small. APOE was also included in this study and there was a dose dependent effect of the APOE ε4 genotype on aspects of processing speed and executive functioning, but without modifying the relationship between female specific factors and cognitive aging. Stratification by sex was key to the findings in this study.
This article Research Topic offers novel insight, highlights sex differences in cognitive aging and differential vulnerabilities to neurodegeneration between the sexes. The findings stress the need of sex stratification when taking a personalized medicine approach and in research, especially in the field of brain aging.
Author contributions
AV: Writing – original draft. DR: Writing – review & editing. LR: Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Alotaibi, M. M., De Marco, M., and Venneri, A. (2023). Sex differences in olfactory cortex neuronal loss in aging. Front. Hum. Neurosci. 17:1130200. doi: 10.3389/fnhum.2023.1130200
Altmann, A., Tian, L., Henderson, V. W., Greicius, M. D., and Alzheimer's Disease Neuroimaging Initiative, I. (2014). Sex modifies the APOE-related risk of developing Alzheimer disease. Ann. Neurol. 75, 563–573. doi: 10.1002/ana.24135
Burke, S. L., Hu, T., Fava, N. M., Li, T., Rodriguez, M. J., Schuldiner, K. L., et al. (2019). Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J. Women Aging 31, 140–164. doi: 10.1080/08952841.2018.1419476
Cerri, S., Mus, L., and Blandini, F. (2019). Parkinson's disease in women and men: what's the difference? J. Parkinson's Dis. 9, 501–515. doi: 10.3233/JPD-191683
Drury, E. R., Wu, J., Gigliotti, J. C., and Le, T. H. (2024). Sex differences in blood pressure regulation and hypertension: renal, hemodynamic, and hormonal mechanisms. Physiol. Rev. 104, 199–251. doi: 10.1152/physrev.00041.2022
Gao, S., Hendrie, H. C., Hall, K. S., and Hui, S. (1998). The relationships between age, sex, and the incidence of dementia and Alzheimer disease: a meta-analysis. Arch. Gen. Psychiatry. 55, 809–815. doi: 10.1001/archpsyc.55.9.809
Gaugler, J., James, B., Johnson, T., Marin, A., Weuve, J., and Assoc, A. S. (2019). 2019 Alzheimer's disease facts and figures. Alzheimer's Dement. 15, 321–387. doi: 10.1016/j.jalz.2019.01.010
Guerreiro, R., and Bras, J. (2015). The age factor in Alzheimer's disease. Genome Med. 7:106. doi: 10.1186/s13073-015-0232-5
Hagg, S., and Jylhava, J. (2021). Sex differences in biological aging with a focus on human studies. Elife 10:e63425. doi: 10.7554/eLife.63425
Hasselgren, C., Ekbrand, H., Hallerod, B., Mellqvist Fassberg, M., Zettergren, A., Johansson, L., et al. (2020). Sex differences in dementia: on the potentially mediating effects of educational attainment and experiences of psychological distress. BMC Psychiatry 20:434. doi: 10.1186/s12888-020-02820-9
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., et al. (2019). Ageing as a risk factor for neurodegenerative disease. Nat. Rev. Neurol. 15, 565–581. doi: 10.1038/s41582-019-0244-7
Kawas, C., Resnick, S., Morrison, A., Brookmeyer, R., Corrada, M., Zonderman, A., et al. (1997). A prospective study of estrogen replacement therapy and the risk of developing Alzheimer's disease: the Baltimore Longitudinal Study of Aging. Neurology 48, 1517–1521. doi: 10.1212/WNL.48.6.1517
Laplume, A. A., Mcketton, L., Anderson, N. D., and Troyer, A. K. (2022). Sex differences and modifiable dementia risk factors synergistically influence memory over the adult lifespan. Alzheimer's Dement. 14:e12301. doi: 10.1002/dad2.12301
Lipnicki, D. M., Sachdev, P. S., Crawford, J., Reppermund, S., Kochan, N. A., Trollor, J. N., et al. (2013). Risk factors for late-life cognitive decline and variation with age and sex in the Sydney Memory and Ageing Study. PLoS ONE 8:e65841. doi: 10.1371/journal.pone.0065841
Mccullagh, C. D., Craig, D., Mcillroy, S. P., and Passmore, A. P. (2001). Rirsk factors for dementia. Adv. Psychiatr. Treat. 7, 24–31. doi: 10.1192/apt.7.1.24
Mielke, M. M. (2018). Sex and gender differences in Alzheimer's disease dementia. Psychiatr. Times 35, 14–17.
Peters, S. A. E., Muntner, P., and Woodward, M. (2019). Sex differences in the prevalence of, and trends in, cardiovascular risk factors, treatment, and control in the United States, 2001 to 2016. Circulation 139, 1025–1035. doi: 10.1161/CIRCULATIONAHA.118.035550
Riedel, B. C., Thompson, P. M., and Brinton, R. D. (2016). Age, APOE and sex: triad of risk of Alzheimer's disease. J. Steroid. Biochem. Mol. Biol. 160, 134–147. doi: 10.1016/j.jsbmb.2016.03.012
Keywords: Alzheimer's disease, ageing, mild cognitive impairment, MCI, dementia
Citation: Venneri A, Ruano Caballero D and Rajagopal L (2024) Editorial: Sex differences in aging: a cognitive and behavioral perspective. Front. Aging Neurosci. 16:1365482. doi: 10.3389/fnagi.2024.1365482
Received: 04 January 2024; Accepted: 10 January 2024;
Published: 22 January 2024.
Edited and reviewed by: Kristy A. Nielson, Marquette University, United States
Copyright © 2024 Venneri, Ruano Caballero and Rajagopal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Annalena Venneri, YW5uYWxlbmEudmVubmVyaSYjeDAwMDQwO2JydW5lbC5hYy51aw==