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Файл:Age endocrinology. Study aid for students of medical universities
.pdf
federal state budgetary educational institution of higher education
“Samara State Medical University”
Ministry of Health of the Russian Federation
Department of Endocrinology and Geriatrics
AGE ENDOCRINOLOGY
Study aid
for students of medical universities
Recommended by the Coordinating Council for the Field of Education
“Healthcare and Medical Sciences” as a teaching aid for use in educational institutions
implementing basic professional educational programs of higher education
in specialty programs in the field of training 31.05.01 “General Medicine”.
Protocol № 071 dated 15.06.2023 of the meeting of the Expert Commission on Work
with Educational Publications of the Sechenov First Moscow State Medical University
of the Ministry of Health of the Russian Federation (Sechenov University).
ECU Review registration number 2307 dated June 15, 2023
Moscow
IPR Media
2025

UDC 616.43
BBK 54.151
A25
Аuthors:
Bulgakova S.V. — Doctor of Medical Sciences, Associate Professor,
Head of the Department of Endocrinology and Geriatrics;
Treneva E.V. — Candidate of Medical Sciences, Associate Professor,
Associate Professor of the Department of Endocrinology and Geriatrics;
Kurmaev D.P. — Candidate of Medical Sciences,
Assistant of the Department of Endocrinology and Geriatrics;
Sharonova L.A. — Candidate of Medical Sciences, Associate Professor,
Associate Professor of the Department of Endocrinology and Geriatrics;
Kosareva O.V. — Candidate of Medical Sciences, Associate Professor,
Associate Professor of the Department of Endocrinology and Geriatrics;
Dolgikh Yu.A. — Candidate of Medical Sciences,
Assistant of the Department of Endocrinology and Geriatrics
Reviewers:
Ilnitsky A.N. — Doctor of Medical Sciences, Professor,
Head of the Department of Therapy, Geriatrics and Anti-Aging Medicine
of the Academy of Postgraduate Education of the FSBI FNCC FMBA of Russia;
Ushakova S.E. — Doctor of Medical Sciences, Associate Professor,
Head of the Department of Polyclinic Therapy and Endocrinology
of the FSBEI HE IvGMA of the Ministry of Health of Russia
А25 Age endocrinology : study aid for students of medical universities /
S.V. Bulgakova, E.V. Treneva, D.P. Kurmaev [et al.] ; Samara State Medical
University. — Moscow : IPR Media, 2025. — 136 p. — Text : electronic.
ISBN 978-5-4497-4509-5
The study aid is devoted to the analysis of changes in the aging process of the axes
of the hypothalamus-pituitary-peripheral hormonal organ, calcium-phosphorus,
carbohydrate metabolism, assessment of the pros and cons of hormone replacement therapy
to correct various deficiencies.
The study aid is intended for students of medical universities and has been
prepared in accordance with the requirements of the current Federal State Educational
Standard for Higher Education of a specialist in the specialty “General Medicine” and the
work program of the discipline “Gerontology and Geriatrics”, approved by the Central
Committee of the Samara State Medical University.
Educational electronic publication
Approved and recommended to the publishing by the Central Coordination Academic
Council, Samara State Medical University (Protocol № 5 dated 28.03.2023)
ISBN 978-5-4497-4509-5 © Samara State Medical University, 2025
© LLC Company “IPR Media”, 2025

Educational publication
Bulgakova Svetlana Viktorovna
Treneva Ekaterina Vyacheslavovna
Kurmaev Dmitry Petrovich
Sharonova Lyudmila Aleksandrovna
Kosareva Olga Vladislavovna
Dolgikh Yuliya Aleksandrovna
Editor Yu.V. Semenova
Technical editor, computer layout Yu.Yu. Zheltova
Cover by Ya.A. Kirsanov, S.S. Siziumova, photobank Freepik
Signed for use 23.06.2025. Data volume 7 Mb.
LLC Company “IPR Media”
8 800 555 22 35 (toll-free within Russia)
E-mail: sales@iprmedia.ru

4
CONTENT
Abbreviations ................................................................................................................ 6
Introduction ................................................................................................................... 7
1. Endocrine axes: mathematical modeling .................................................................. 8
2. Hypothalamus-pituitary-thyroid axis: change with age .......................................... 21
3. Hypothyroidism in the elderly ................................................................................. 23
4. Somatotropic axis: change with age ........................................................................ 28
5. Hypothalamus-pituitary-adrenal axis. Changes in adrenal hormone
secretion during aging ................................................................................................. 39
5.1. Clinical manifestations of adrenal aging .......................................................... 41
5.2. Adrenal aging, brain function, stress response................................................. 42
6. Hypothalamus-pituitary-gonad axis: change with age ............................................ 45
6.1 Sex hormones and cognition: is there an impact? ............................................. 47
6.2 Changes in sex hormones and cognitive functions throughout life:
prenatal period, puberty, reproductive age .............................................................. 48
6.3. Changes in sex hormones and cognition throughout life:
postmenopause, aging ............................................................................................. 51
6.4 Sex hormones and gender differences in Alzheimer's disease .......................... 53
6.5. Sex hormones in the treatment of cognitive impairment: is it possible? ......... 54
7. Age-related sexual dysfunction. The role of testosterone preparations
in its correction ............................................................................................................ 57
8. Calcium-phosphorus metabolism ............................................................................ 66
9. Postmenopausal osteoporosis: from low estrogen levels to disease onset .............. 67
9.1. Reactive oxygen species (ROS) and antioxidants:
aging and age-associated diseases ........................................................................... 68
9.2. Estrogen deficiency and oxidative stress ......................................................... 69
9.3. Studies showing the role of oxidative stress in the pathogenesis
of postmenopausal osteoporosis .............................................................................. 71
9.4. Anti-osteoporotic therapy aimed at oxidative stress ........................................ 73
10. Carbohydrate metabolism: change with age ......................................................... 75
10.1. Insulin and glucagon-like peptide-1: age-related changes,
role in the development of neurodegenerative diseases .......................................... 75
10.2. Insulin and the insulin signaling system in the brain ..................................... 77
10.3. T2DM and neurodegenerative processes: the role of disorders
in the insulin signaling system of the brain, insulin resistance
and hyperinsulinemia ............................................................................................. 80

5
10.4. Impairment in the insulin signaling system of the brain and
hyperphosphorylation of tau .................................................................................... 82
10.5. Insulin resistance, cerebral vasculopathy and neuroinflammation ................ 83
10.6. The polypatent role of GLP-1 ........................................................................ 85
10.7. Glucagon-like peptide-1 receptor agonists as neuroprotective agents
in T2DM-associated cognitive impairment ............................................................. 85
10.8. Glucagon-like peptide-1 receptor agonists as neuroprotectors
in cognitive impairment associated with neurodegenerative diseases .................... 87
10.9. Drug correction of neurodegenerative changes in the brain,
taking into account pathogenesis ............................................................................. 91
11. Sleep and aging: age-related, endocrine and epigenetic aspects ........................... 98
11.1. Sleep duration ................................................................................................. 98
11.2. Age-related changes in circadian rhythms ................................................... 102
11.3. Hormones, aging, epigenetic factors and sleep ............................................ 103
11.4. Risk Factors for sleep disorders in the elderly ............................................. 106
12. Vitamin D hypovitaminosis ................................................................................ 108
12.1. Vitamin D and muscle tissue ........................................................................ 108
12.2. Vitamin D and cognitive functions .............................................................. 111
13. Betacoronaviruses and the human endocrine system: new data ......................... 113
References ................................................................................................................. 124
Test tasks ................................................................................................................... 129

6
ABBREVIATIONS
ACTH — adrenocorticotropic hormone
AD — Alzheimer's disease
AV — arginine vasopressin
BMD — bone density
CAH — congenital adrenal hyperplasia
cAMP — Cyclic adenosine monophosphate
CRH — corticotropin-releasing hormone
DHEA — dehydroepiandrosterone
DHEA-S — dehydroepiandrosterone sulfate
DHT — dihydrotestosterone
EDS — Excessive Daytime Sleepiness
ERT — estrogen therapy
FSH — follicle stimulating hormone
GRH — gonadotropin releasing hormone
HPA — hypothalamus-pituitary-adrenal glands
HPG — hypothalamus-pituitary-gonads
IGF-1 — insulin-like growth factor-1
LH — luteinizing hormone
LPS — lipopolysaccharide
MHT — Menopausal Hormone Therapy
PCOS — polycystic ovary syndrome
PD — Parkinson's disease
PNH — paraventricular t nuclei of the hypothalamus
PRL — prolactin
PTH — parathyroid hormone
ROS — reactive oxygen species
SCN — suprachiasmatic nucleus
SHBG — sex hormone binding globulin
STH — somatotropic hormone
T2DM — type 2 diabetes mellitus
TST — total sleep time
TTH — thyroid stimulating hormone

7
INTRODUCTION
Human aging is a multifactorial and multicomponent process, characterized by
structural and functional changes in almost all organs and systems. Age-related
restructuring also applies to the endocrine system. The endocrine theory of aging,
which has worried the minds of scientists for a long time, is still relevant and not
fully understood. With an increase in chronological age, structural and functional
changes occur both in the endocrine organs (thyroid gland, adrenal glands) and in the
activity of the hypothalamus-pituitary-peripheral hormonal organ axis with a
violation of negative feedback. In addition, the composition of the body changes (the
amount of muscle mass decreases, an increase in fat with a predominance of visceral
fat is noted), bone density decreases, the quality of bone tissue is impaired, and
calcium-phosphorus metabolism changes. The effects of aging are difficult to
separate from the influence of internal and external factors on the endocrine system,
which also cause changes in it. Traditionally, during the aging process, a decrease in
hormonal activity was considered harmful due to the associated decline in bodily
functions. The concept of hormone replacement therapy has been proposed as a
therapeutic intervention to stop and reverse this decline. However, it is clear that
some of these changes are a favorable adaptation to aging, while hormonal
intervention often causes various side effects. This work is devoted to the analysis of
changes in the aging process of the axes of the hypothalamus-pituitary-peripheral
hormonal organ, calcium-phosphorus, carbohydrate metabolism, assessment of the
pros and cons of hormone replacement therapy to correct various deficiencies.

8
1. ENDOCRINE AXES: MATHEMATICAL MODELING
Understanding the complexity of endocrine regulation requires a
multidisciplinary approach.
Endocrine axes are an excellent example of complex physiological regulatory
systems that include several levels of organization (central nervous system, secretory
glands, tissues, cells, hormones) and time scales (menstrual, circadian, ultradian
rhythms). These systems typically exhibit non-linear responses, have a number of
components with multiple feedback loops, and are involved in cross-talk between
each other and other body systems (eg, immune, nervous, reproductive systems,
gastrointestinal tract). The endocrine axes are also highly dynamic, with hormone
concentrations exhibiting complex temporal behavior on short and long time scales
that combine sensitivity with robustness and allow the body to adapt to challenges
from the internal and external environment. More importantly, dysregulation of these
dynamic processes (especially when irreversible) can lead to disease.
The concept of feedback was developed by Norbert Wiener in the mid-20th
century, which formed the basis of cybernetics and helped physiologists understand
how negative feedback works and is a key link in homeostasis. At present, new
mechanisms of dynamic active regulation have been discovered in endocrinology,
which explain the ability to anticipate events and quickly respond to stimuli. Instead
of stabilizing setpoints within a certain range, endocrine axes control dynamic
phenomena (eg, hormonal rhythms, neuronal firing, body temperature). Mathematical
models revealed the regulatory mechanisms that maintain this “homeodynamics”, the
resistance of the endocrine system to destructive factors, the plasticity to adapt to new
dynamic regimes (allostasis), and destruction during illness. A number of works are
devoted to the description of mathematical models in endocrinology. However, a
better understanding of what mathematical modeling can bring to experimental
research could better guide the development of new interdisciplinary approaches
aimed at deciphering the complexity of endocrine regulation.
Carbohydrate metabolism: from the mechanisms
of secretion to the coordination of the work of beta cells
Given the close association with diabetes mellitus, insulin secretion by
pancreatic beta cells (Pic. 1) has been the subject of intensive study for over a
century. The primary pathway for insulin secretion stimulated by glucose is
associated with complex mechanisms of plasma membrane electrical activity that

9
allow Ca
2+
ions to enter the cell and trigger the secretory mechanism. This electrical
activity is associated with cellular metabolism, which acts as a glucose sensor, raising
the intracellular ATP / ADP ratio, causing K — ATP channels to close, depolarizing
the membrane and bringing it closer to the threshold for triggering an action
potential. Mathematical models provide an ideal framework for investigating the
complex interplay between metabolic and electrical pathways in beta cells over the
various time scales in which these processes occur.
The regulation of plasma glucose levels is achieved primarily through the
complementary actions of the hormones insulin, glucagon, and somatostatin. Insulin
promotes the absorption of glucose from the blood by the liver and peripheral tissues,
thus lowering the concentration of glucose in the blood. In these tissues, glucose is
then converted to glycogen or fat and subsequently stored. Glucagon plays the
opposite role of insulin in inducing tissues to convert these substrates back into
glucose for secretion into the bloodstream. Somatostatin inhibits the secretion of
insulin and glucagon, respectively, by beta and alpha cells, which are located in the
islets of Langerhans of the pancreas. Mathematical models of beta cell behavior take
into account the electrical activity of ion channels involved in insulin secretion, beta
cell metabolism, including, for example, glycolytic activity and mitochondrial
components shown in the “double oscillator model”.
Most mathematical models of beta cell behavior are based on the Chey-Keiser
model. This model, which describes the electrical activity and dynamics of Ca2+,
subsequently underwent many modifications, including those to include glycolytic
and mitochondrial components. The primary goal of these models is to elucidate the
mechanisms that cause the pulsatile insulin secretion with an average period of about
5 minutes observed in rodents, dogs and humans. To this end, many models consider
fluctuations in Ca
2+
and glycolytic activity, assuming that one of these components
essentially determines the overall period of insulin secretion impulses. However, the
development and subsequent analysis of the dual oscillator model showed that these
two mechanisms can work together to create rhythmic insulin secretion (i.e. Ca
2+
and
glycolytic activity can fluctuate independently of each other, but together cause
oscillations in the time scale usually observed in experiments). Thus, this model has
become an invaluable tool for studying the interactions of these processes and
highlights the importance of understanding the time scales on which they occur.
Since then, the dual oscillator model has been modified to include Ca
2+
in conjunction
with glycolytic activity. This improved integrated oscillator model further
emphasizes that neither Ca2+ fluctuations nor metabolism alone determine the overall
rhythmicity in beta cells, and illustrates the prospects for developing mathematical
models in the light of new experimental data.

10
Pic. 1. Metabolic axis (carbohydrate metabolism)
1
1
https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.html?title=Click
%20on%20image%20to%20zoom&p=PMC3&id=6425086_gr1.jpg
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