ArticlePDF Available

Anxiety: Insights into Signs, Symptoms, Etiology, Pathophysiology, and Treatment

Authors:
  • University of Sabratha, Libya
  • Sabratha Universty

Abstract and Figures

Background: The anxiety disorders are the most common mental disorders. It is manifest by disturbances of mood, as well as of thinking, behaviour, and physiological activity. It includes panic disorder, agoraphobia, generalized anxiety disorder, specific phobia, social phobia, obsessive-compulsive disorder, acute stress disorder, and post-traumatic stress disorder. Objectives: The aim of the current review is a high light on the anxiety signs, symptoms, etiology, pathophysiology, treatment. The common symptoms of anxiety are accompanying disturbances of sleep, concentration, social and/or occupational functioning. The anxiety is associated with restlessness, feeling keyed up or on edge, being easily fatigued, difficulty in concentrating or mind going blank, irritability, muscle tension, and irritability. The etiology of anxiety may include stress, physical condition, genetic, and environmental factors. Anxiety symptoms may be due to disrupted modulation within the central nervous system. Many believe that low serotonin system activity and elevated noradrenergic system activity are responsible for its development. Therefore, selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors that is the first-line agent for its treatment. Corticosteroids may increase or decrease the activity of certain neural pathways, affecting not only behavior under stress, but also the brain's processing of fear-inducing stimuli. Several studies have found elevated WBC count among anxious individuals there was a negative association between red blood cell and mean corpuscular hemoglobin and symptoms of anxiety. A positive association between anxiety symptoms and levels of hematological inflammatory markers including WBC and RDW. Drugs to reduce anxiety have been used by human beings for thousands of years. Conclusion: It can be concluded that anxiety is manifest by disturbances of mood, thinking, behaviour, and physiological activity and accompanying disturbances of sleep, concentration, social and/or occupational functioning. Also, it is associated with restlessness, feeling keyed up or on edge, being easily fatigued, difficulty in concentrating or mind going blank, irritability, muscle tension, and irritability. The etiology of anxiety may include stress, diabetes, depression, genetic, and environmental factors. Anxiety disorders should be treated with psychological therapy, pharmacotherapy, or a combination of both. Keywords: Anxiety, Signs, Symptoms, Etiology, Pathophysiology, Treatment.
Content may be subject to copyright.
East African Scholars Journal of Medical Sciences
Abbreviated Key Title: East African Scholars J Med Sci
ISSN 2617-4421 (Print) | ISSN 2617-7188 (Online) |
Published By East African Scholars Publisher, Kenya
Volume-2 | Issue-10| Oct -2019 |
Quick Response Code
Journal homepage:
http://www.easpublisher.com/easjms/
Copyright @ 2019: This is an open-access
article distributed under the terms of the
Creative Commons Attribution license which
permits unrestricted use, distribution, and
reproduction in any medium for non
commercial use (NonCommercial, or CC-BY-
NC) provided the original author and source
are credited.
Article History
Received: 24.09.2019
Accepted: 05.10.2019
Published: 19.10.2019
Published By East African Scholars Publisher, Kenya 580
Review Article
Anxiety: Insights into Signs, Symptoms, Etiology, Pathophysiology, and
Treatment
Almokhtar A. Adwas1, J.M. Jbireal2 and Azab Elsayed Azab2*
1Department of Pharmacology, Faculty of Medicine, Sabratha University, Libya
2Physiology Department, Faculty of Medicine, Sabratha University, Libya
*Corresponding Author
Azab Elsayed Azab
Abstract: Background: The anxiety disorders are the most common mental disorders. It is manifest by disturbances of
mood, as well as of thinking, behaviour, and physiological activity. It includes panic disorder, agoraphobia, generalized
anxiety disorder, specific phobia, social phobia, obsessive-compulsive disorder, acute stress disorder, and post-traumatic
stress disorder. Objectives: The aim of the current review is a high light on the anxiety signs, symptoms, etiology,
pathophysiology, treatment. The common symptoms of anxiety are accompanying disturbances of sleep, concentration,
social and/or occupational functioning. The anxiety is associated with restlessness, feeling keyed up or on edge, being
easily fatigued, difficulty in concentrating or mind going blank, irritability, muscle tension, and irritability. The etiology
of anxiety may include stress, physical condition, genetic, and environmental factors. Anxiety symptoms may be due to
disrupted modulation within the central nervous system. Many believe that low serotonin system activity and elevated
noradrenergic system activity are responsible for its development. Therefore, selective serotonin reuptake inhibitors and
serotonin-norepinephrine reuptake inhibitors that is the first-line agent for its treatment. Corticosteroids may increase or
decrease the activity of certain neural pathways, affecting not only behavior under stress, but also the brain's processing
of fear-inducing stimuli. Several studies have found elevated WBC count among anxious individuals there was a
negative association between red blood cell and mean corpuscular hemoglobin and symptoms of anxiety. A positive
association between anxiety symptoms and levels of hematological inflammatory markers including WBC and RDW.
Drugs to reduce anxiety have been used by human beings for thousands of years. Conclusion: It can be concluded that
anxiety is manifest by disturbances of mood, thinking, behaviour, and physiological activity and accompanying
disturbances of sleep, concentration, social and/or occupational functioning. Also, it is associated with restlessness,
feeling keyed up or on edge, being easily fatigued, difficulty in concentrating or mind going blank, irritability, muscle
tension, and irritability. The etiology of anxiety may include stress, diabetes, depression, genetic, and environmental
factors. Anxiety disorders should be treated with psychological therapy, pharmacotherapy, or a combination of both.
Keywords: Anxiety, Signs, Symptoms, Etiology, Pathophysiology, Treatment.
1. INTRODUCTION
The anxiety disorders are the most common, or
frequently occurring, mental disorders (Munir et al.,
2019). They encompass a group of conditions that share
extreme or pathological anxiety as the principal
disturbance of mood or emotional tone. Anxiety, which
may be understood as the pathological counterpart of
normal fear, is manifest by disturbances of mood, as
well as of thinking, behaviour, and physiological
activity. The anxiety disorders include panic disorder
(with and without a history of agoraphobia),
agoraphobia (with and without a history of panic
disorder), generalized anxiety disorder, specific phobia,
social phobia, obsessive-compulsive disorder, acute
stress disorder, and post-traumatic stress disorder. In
addition, there are adjustment disorders with anxiety
features, and disorders due to general medical
conditions and substance-induced anxiety disorders
(Greenberg et al., 1999).
Diagnostic criteria are include excessive
anxiety and worry for at least six months, difficulty
controlling the worrying. The anxiety is associated with
three or more of the following symptoms for at least 6
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 581
months: restlessness, feeling keyed up or on edge, being
easily fatigued, difficulty in concentrating or mind
going blank, irritability, muscle tension, sleep
disturbance, and irritability (Munir et al., 2019).
2. Signs and Symptoms
A subjective experience of distress with
accompanying disturbances of sleep, concentration,
social and/or occupational functioning are common
symptoms in many of the anxiety disorders. Despite
their similarities, these disorders often differ in
presentation, course and treatment. Patients often
present with complaints of poor physical health as their
primary concern. This may temporarily distract from
the underlying anxiety symptoms. This is particularly
common in panic disorder, which is characterized by a
short period of intense fear and a sense of impending,
doom, with accompanying physical symptoms, such as
chest pain, dizziness and shortness of breath
(Markowitz et al., 1989). When complicated by
agoraphobia, the individual fears have a panic attack in
a place that prevents escape. This results in the patient
avoiding such situations, with subsequent disturbances
in functioning (Magee et al., 1996). The ancient term
agoraphobia is translated from Greek as fear of an open
marketplace. Agoraphobia today describes severe and
pervasive anxiety about being in situations from which
escape might be difficult or avoidance of situations such
as being alone outside of the home, traveling in a car,
bus, or airplane, or being in a crowded area (Magee et
al., 1996).
Most people who present to mental health
specialists develop agoraphobia after the onset of panic
disorder. Agoraphobia is best understood as an adverse
behavioral outcome of repeated panic attacks and the
subsequent worry, preoccupation, and avoidance
(Barlow, 1988).
Generalized anxiety disorder (GAD) rarely
occurs without a co-morbid psychiatric disorder, with
the patient experiencing consistent worry over multiple
areas of his or her life for at least 6 months (Schweizer,
1995 ).
Social phobia describes fear and anxiety in
social situations leading to avoidance of social
interaction (Ballenger et al., 1998). Specific phobia is
characterized by similar symptoms and behavior, but is
triggered by a specific object or situation, such as a fear
of certain animals (especially snakes, rodents, and
dogs); birds, insects (especially spiders and bees or
hornets); heights; elevators; flying; automobile driving;
water; storms; and blood or injections (Marks, 1969).
Post-traumatic stress disorder and acute stress
disorder occur after a patient experiences a traumatic
event with subsequent physiological arousal in the face
of stimuli that trigger memories of the event; avoidance
of such stimuli; and a sense of re-experiencing the
event. The latter occurs in the short term, while the
former describe a more chronic version of the disorder
(Kessler et al., 1995).
Obsessive-compulsive disorder (OCD) is
characterized by repeated behaviors (compulsions),
which serve to reduce anxiety connected to unwanted,
intrusive thoughts (obsessions). Commonly seen
behaviors are cleaning or washing in response to
concerns about contamination, or repeatedly checking
to see if a stove is turned off in response to concerns
over a fire starting. Some people repeatedly check work
or seek excessive reassurance due to obsessive self-
doubt (Eddy and Walbroehl, 1998).
2. Etiology and psychological basis of anxiety
The etiology of anxiety may include stress,
physical condition such as diabetes or other co-
morbidities such as depression, genetic, first-degree
relatives with generalized anxiety disorder (25%),
environmental factors, such as child abuse, and
substance abuse (Munir et al., 2019). The anxiety
disorders are so heterogeneous that the relative roles of
these factors are likely to differ. Some anxiety
disorders, like panic disorder, appear to have a stronger
genetic basis than others (National Institute of Mental
Health [NIMH], 1998), although actual genes have not
been identified. Other anxiety disorders are more rooted
in stressful life events.
It is not clear why females have higher rates
than males of most anxiety disorders, although some
theories have suggested a role for the gonadal steroids.
Other research on women‘s responses to stress also
suggests that women experience a wider range of life
events as stressful as compared with men who react to a
more limited range of stressful events, specifically those
affecting themselves or close family members
(Maciejewski et al., 2001).
What the myriad of anxiety disorders have in
common is a state of increased arousal or fear. Anxiety
disorders often are conceptualized as an abnormal or
exaggerated version of arousal. Much is known about
arousal because of decades of study in animals and
humans of the so-called ―fight-or-flight response,‖
which also is referred to as the acute stress response.
The acute stress response is critical to understanding the
normal response to stressors and has galvanized
research, but its limitations for understanding anxiety
have come to the forefront in recent years (Barbee,
1998).
In common parlance, the term ―stress‖ refers
either to the external stressor, which can be physical or
psychosocial in nature, as well as to the internal
response to the stressor. Yet researchers distinguish the
two, calling the stressor the stimulus and the body‘s
reaction the stress response. This is an important
distinction because in many anxiety states there is no
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 582
immediate external stressor. The following paragraphs
describe the biology of the acute stress response, as well
as its limitations, in understanding human anxiety.
Emerging views about the neurobiology of anxiety,
attempt to integrate and understand psychosocial views
of anxiety and behavior in relation to the structure and
function of the central and peripheral nervous system.
There are several major psychological theories
of anxiety: psychoanalytic and psychodynamic theory,
behavioral theories, and cognitive theories (Thorn et al.,
1999). Psychodynamic theories have focused on
symptoms as an expression of underlying conflicts
(Rush et al., 1998; Thorn et al., 1999). Although there
are no empirical studies to support these
psychodynamic theories, they are amenable to scientific
study (Kandel, 1999) and some therapists find them
useful. For example, ritualistic compulsive behavior can
be viewed as a result of a specific defense mechanism
that serves to channel psychic energy away from
conflicted or forbidden impulses. Phobic behaviors
similarly have been viewed as a result of the defense
mechanism of displacement. From the psychodynamic
perspective, anxiety usually reflects more basic,
unresolved conflicts in intimate relationships or
expression of anger.
More recent behavioral theories have
emphasized the importance of two types of learning:
classical conditioning and vicarious or observational
learning. These theories have some empirical evidence
to support them. In classical conditioning, a neutral
stimulus acquires the ability to elicit a fear response
after repeated pairings with a frightening
(unconditioned) stimulus. In vicarious learning, fearful
behavior is acquired by observing others‘ reactions to
fear-inducing stimuli (Thorn et al., 1999). With general
anxiety disorder, unpredictable positive and negative
reinforcement is seen as leading to anxiety, especially
because the person is unsure about whether avoidance
behaviors are effective.
Cognitive factors, especially the way people
interpret or think about stressful events, play a critical
role in the etiology of anxiety (Barlow et al., 1996;
Thorn et al., 1999). A decisive factor is the individual‘s
perception, which can intensify or dampen the response.
One of the most salient negative cognitions in anxiety is
the sense of uncontrollability. It is typified by a state of
helplessness due to a perceived inability to predict,
control, or obtain desired results (Barlow et al., 1996).
Negative cognitions are frequently found in individuals
with anxiety (Ingram et al., 1998). Many modern
psychological models of anxiety incorporate the role of
individual vulnerability, which includes both genetic
(Smoller & Tsuang, 1998) and acquired (Coplan et al.,
1997) predispositions. There is evidence that women
may ruminate more about distressing life events
compared with men, suggesting that a cognitive risk
factor may predispose them to higher rates of anxiety
and depression (Nolen-hoeksema et al., 1999 ).
4. Pathophysiology
The exact mechanism is not entirely known.
Anxiety can be a normal phenomenon in children.
Stranger anxiety begins at seven to nine months of life
(Munir et al., 2019). Anxiety symptoms and the
resulting disorders are thought to be due to disrupted
modulation within the central nervous system. Physical
and emotional manifestations of this dysregulation are
the result of heightened sympathetic arousal of varying
degrees (Kaplan and Sadock, 1995).
Several neurotransmitter systems have been
implicated to have a role in one or several of the
modulatory steps involved. The most commonly
considered are the serotonergic and noradrenergic
neurotransmitter systems. In very general terms, it is
thought that an under activation of the serotonergic
system and an over activation of the noradrenergic
system are involved (Ressler and Nemeroff, 2000,
Munir et al., 2019). These systems regulate and are
regulated by other pathways and neuronal circuits in
various regions of the brain, resulting in dysregulation
of physiological arousal and the emotional experience
of this arousal (Ressler and Nemeroff, 2000). Many
believe that low serotonin system activity and elevated
noradrenergic system activity are responsible for its
development. It is, therefore, selective serotonin
reuptake inhibitors (SSRI) and serotonin-
norepinephrine reuptake inhibitors (SNRI) that are the
first-line agent for its treatment (Munir et al.,
2019). Disruption of the gamma-aminobutyric acid
(GABA) system has also been implicated because of the
response of many of the anxiety spectrum disorders to
treatment with benzodiazepines (Nutt, 2001). There has
been some interest in the role of corticosteroid
regulation and its relationship to symptoms of fear and
anxiety. Corticosteroids may increase or decrease the
activity of certain neural pathways, affecting not only
behavior under stress, but also the brain's processing of
fear-inducing stimuli (Korte, 2001). Cholecystokinin
has long been viewed as a neurotransmitter involved in
regulating emotional states (Korte, 2001).
There is such careful orchestration between
these neurotransmitters that changes in one
neurotransmitter system invariably elicit changes in
another, including extensive feedback mechanisms.
Serotonin and GABA are inhibitory neurotransmitters
that quieten the stress response (Coplan and Lydiard,
1998; Rush et al., 1998). All of these neurotransmitters
have become important targets for therapeutic agents.
Many studies indicate that a genetic
predisposition to developing an anxiety disorder is
likely. However, environmental stressors clearly play a
role, in varying degrees. All of the disorders are
affected in some way by external cues and how they are
processed and reacted to (Kaplan and Sadock, 1995).
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 583
Several studies have found elevated WBC
count among depressed and anxious individuals
(Pitsavos et al., 2006; Kobrosly and van Wijngaarden,
2010; Duivis et al., 2013; Aydin et al., 2016; Shafiee et
al., 2017). Shafiee et al., 2017 reported that the mean
WBC count increased with increasing severity of
symptoms of depression and anxiety among men. Men
(but not women) with severe anxiety symptoms had
significantly higher values of RDW (p <0.001).
Moreover, there was a negative association between red
blood cell (RBC) and mean corpuscular hemoglobin
(MCH) and symptoms of depression/anxiety. Pitsavos
et al. (2006) observed that anxiety score is positively
correlated with WBC count in women, but not in men.
Since WBC count is an independent predictor of
atherosclerosis and cardiovascular diseases (Loimaala
et al., 2006; Madjid et al., 2004, Shafiee et al., 2017).
RDW is a strong predictor of mortality and has
association with a variety of cardiovascular and
thrombotic disorders (Montagnana et al., 2012; Patel et
al., 2009, Shafiee et al., 2017). Therefore, higher levels
of RDW among depressed and anxious individuals may
predict greater risk of developing cardiovascular
diseases in these patients (Shafiee et al., 2017).
Shafiee et al., 2017 concluded that a positive
association between depression/anxiety symptoms and
levels of hematological inflammatory markers including
WBC and RDW, which persisted despite adjustment by
potential confounders.
5. Biochemical Basis of Anxiety
An exciting new line of research proposes that
anxiety engages a wide range of neurocircuits. This line
of research catapults to prominence two key regulatory
centers found in the cerebral hemispheres of the brain
the hippocampus and the amygdala. These centers, in
turn, are thought to activate the hypothalamic-pituitary-
adrenocortical (HPA) axis (Goddard & Charney, 1997;
Coplan & Lydiard, 1998; Sullivan et al., 1998).
Researchers have long established the contribution of
the HPA axis to anxiety but have been perplexed by
how it is regulated. They are buoyed by new findings
about the roles of the hippocampus and the amygdala.
The hippocampus and the amygdala govern
memory storage and emotions, respectively, among
their other functions. The hippocampus is considered
important in verbal memory, especially of time and
place for events with strong emotional overtones
(McEwen, 1998). The hippocampus and amygdala are
major nuclei of the limbic system, a pathway known to
underlie emotions. There are anatomical projections
between the hippocampus, amygdala, and
hypothalamus (Jacobson & Sapolsky, 1991; Charney &
Deutch, 1996; Coplan & Lydiard, 1998).
Studies of emotional processing in rodents
(Rogan & LeDoux, 1996) and in humans with brain
lesions (Adolphs et al., 1998) have identified the
amygdala as critical to fear responses. Sensory
information enters the lateral amygdala, from which
processed information is passed to the central nucleus,
the major output nucleus of the amygdala. The central
nucleus projects, in turn, to multiple brain systems
involved in the physiologic and behavioral responses to
fear. Projections to different regions of the
hypothalamus activate the sympathetic nervous system
and induce the release of stress hormones, such as
CRH. The production of CRH in the paraventricular
nucleus of the hypothalamus activates a cascade leading
to release of glucocorticoids from the adrenal cortex.
Projections from the central nucleus innervate different
parts of the periaqueductal gray matter, which initiates
descending analgesic responses (involving the body's
endogenous opioids) that can suppress pain in an
emergency, and which also activates species-typical
defensive responses (e.g., many animals freeze when
fearful) (Davis, 1997 ).
Anxiety differs from fear in that the fear-
producing stimulus is either not present or not
immediately threatening, but in anticipation of danger,
the same arousal, vigilance, physiologic preparedness,
and negative affects and cognitions occur (LeDoux,
1996). Different types of internal or external factors or
triggers act to produce the anxiety symptoms of panic
disorder, agoraphobia, post-traumatic stress disorder,
specific phobias, and generalized anxiety disorder, and
the prominent anxiety that commonly occurs in major
depression. It is currently a matter of research to
determine whether dysregulation of these fear pathways
leads to the symptoms of anxiety disorders. It has now
been established, using noninvasive neuroimaging, that
the human amygdala is also involved in fear responses
(Breiter et al., 1996). Fearful facial expressions have
been shown to activate the amygdala in MRI studies of
normal human subjects (Breiter et al., 1996). Functional
imaging studies in anxiety disorders, such as PET
studies of brain activation in phobias (Rauch et al.,
1995), are also beginning to investigate the precise
neural circuits involved in the anxiety disorders.
What is especially exciting is that
neuroimaging has furnished direct evidence in humans
of the damaging effects of glucocorticoids. In people
with post-traumatic stress disorder, neuroimaging
studies have found a reduction in the size of the
hippocampus. The reduced volume appears to reflect
the atrophy of dendritesthe receptive portion of nerve
cellsin a select region of the hippocampus. Similarly,
animals exposed to chronic psychosocial stress display
atrophy in the same hippocampal region (McEwen &
Magarinos, 1997). Stress-induced increases in
glucocorticoids specially corticosterone are thought to
be responsible for the atrophy (McEwen, 1998). If the
hippocampus is impaired, the individual is thought to be
less able to draw on memory to evaluate the nature of
the stressor (McEwen, 1998).
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 584
6. Treatment of anxiety
Drugs to reduce anxiety have been used by
human beings for thousands of years. One of the first
anxiolytics and one that continues to be used by humans
is ethanol. A number of other drugs including the
barbiturates and the carbamates (meprobamate) were
used in the first half of the 20th century and some
continue to be used today.
6.1. Serotonin Receptor Modulators and Reuptake
Inhibitors
Serotonin has long been viewed as a
neurotransmitter involved in regulating emotional
states. Of the 14 or so mammalian serotonin receptor
subtypes that have been described in the literature, at
least four have been implicated in anxiety in various
animal models (Lucki, 1996). As reported by Lucki,
1996 the original hypothesis implicating serotonin in
anxiety surfaced from observations that reduced levels
of serotonin can produce anxiolytic effects. One of the
receptor subtypes implicated in anxiety is the serotonin
1A receptor subtype (5HT1A), which is an auto
receptor located presynaprically on serotonin neurons.
When stimulated, this receptor inhibits the synthesis
and secretion of serotonin. The 5-HT1A receptor
agonist buspirone exhibits anxiolytic effects in animals
and was approved by the Food and Drug Administration
(FDA) in 1986 for human generalized anxiety disorder.
Other serotonin receptors potentially involved in
anxiety include the 5-HT2A, 5-HT2C and 5-HT3
receptors. Antagonists for the 5-HT2A receptor, like
ritanserin, exhibit anxiolytic effects in some animal
models (Critchley and Handley, 1987; Gleeson et al.,
1989). Likewise, blockade of the 5-HT2C receptor
produces anxiolytic effects in animals and prevents the
anxiogenic effects of m-CPP (Kennett et al., 1989).
Finally, the 5-HT3 receptor antagonist ondansetron was
reported to be anxiolytic in some animal models
(Costall and Naylor, 1991).
Advances in molecular biology has led to the
development of serotonin receptor gene knockout
methodology, which generates mice lacking the 5-
HT1A receptor, allowing for the evaluation of this
receptor subtype in a variety of measurable behaviors.
Ramboz et al., 1998 reported results consistent with the
5-HT1A agonist's data cited above. Mice lacking this
receptor displayed less exploratory activity in an open
field and more anxious behavior than the wild types in
the elevated plus maze. According to the serotonin
hypothesis of anxiety (Johnson and file, 1986),
removing the negative feedback control of 5-HT with
the 5-HT1A receptor knockout animals should result in
increased levels of 5-HT in the synaptic cleft, which
would be expected to lead to the anxiogenic behavior.
However, Ramboz et al. 1998, reported normal levels
of 5-HT, which confuses the issues related to anxiety
modulation and serotonin levels.
In 1986, the FDA approved the 5-HT1A partial
agonist, buspirone for generalized anxiety disorder.
This drug was the first to challenge the benzodiazepines
for this patient group and was generally perceived as an
improvement because of the lack of benzodiazepine
side effects. The efficacy of buspirone, however, was
not the same as that of the benzodiazepines in terms of
its delayed onset of action, and it is generally accepted
that when buspirone offers clinical benefit to GAD
patients, it takes 3 to 4 weeks to match the efficacy of
benzodiazepines such as diazepam and alprazolam
(Coplan et al., 1995). The 5-HT1A partial agonist
properties of buspirone are believed to account for its
clinical effects, but it should be noted that the drug is
also a D2 antagonist and is extensively metabolized.
One of the major metabolites, 1-pyrimidinylpiperazine
(l-PP), may contribute to the pharmacologic activity of
buspirone (Mahmood and Sahajwalla, 1999). In a
double-blind, placebo-controlled study of buspirone in
GAD patients (Laakmann et al., 1998), the drug was
reported to be as efficacious as lorazepam at the end of
a 4-week treatment period. After the drugs were
discontinued, however, the lorazepam-treated patients
worsened whereas the buspirone-treated subjects
maintained clinical improvement. Thus, there continues
to be evidence that buspirone is effective in GAD.
The development of selective serotonin
reuptake inhibitors (SSRIs) in the 1980s and 1990s
widely expanded the treatment for depressive disorders,
and these drugs (fluoxetine, sertraline, venlafaxin,
paroxetine) have recently made inroads in treating
anxiety disorders such as panic, obsessivecompulsive
disorder, social phobia, and GAD. Successful treatment
of GAD with a class of drugs working through the
serotoninergic system will come from the SSRIs (Rocca
et al., 1997).
OCD is a chronic, disabling anxiety disorder.
In a review of the diagnosis and treatment of OCD,
Goodman, 1999 states that the backbone of
pharmacologic treatment for OCD is a 10- to 12-week
trial with an SSRIs in adequate doses. It is clear from a
review of the role of the 5-HT1A receptor (Coplan et
al., 1995) in OCD that partial agonists such as
buspirone are generally ineffective in treating OCD.
The authors also note that in studying the potential to
augment efficacy of the standard OCD medication,
buspirone was not different from placebo as an
augmenting agent. Drugs that work through other
serotonin receptor subtypes also appear to be ineffective
in treating OCD. Thus, drugs modifying the 5-HT1A, 5-
HT1D and 5-HT3 receptors appear ineffective in
treating OCD symptoms and rule out a critical
involvement of these receptor subtypes in OCD
(Broocks et al., 1998; Pian et al., 1998).
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 585
In the past, tricyclic antidepressants (TCAss)
and monoamine oxidase inhibitors, as well as high
potency benzodiazepines, have been used to treat
patients with panic disorder. The SSRIs have also been
added to the list of effective agents for the disorder. In
reviewing the pharmacotherapy of panic disorder, den
Boer, 1998 notes that antidepressants are more effective
than benzodiazepines in reducing associated depressive
symptomatology and are at least as effective for
improving anxiety, agoraphobia, and overall
impairment. Bell and Nutt, 1998 remark that SSRIs
improve 60% to 70% of panic patients, a similar
percentage to those seen with the TCAs.
Like OCD, panic disorder is well treated by
SSRIs but does not appear to be effectively treated by
receptor specific compounds. Coplan et al., 1995
reviewed the role of 5HT 1A drugs such as buspirone in
panic disorder and reported that buspirone does not
significantly treat panic in several well-controlled
studies. Using the 5-HT1A receptor agonist flesinoxan,
ikvan Vliet et al., 1996 reported a worsening of
symptoms in panic patients treated with high doses of
the drug. It has also been reported that the 5-HT2A/2C
antagonist ritanserin had no effects on panic attacks or
phobic avoidance, and a similar negative finding has
been reported with the 5-HT3 antagonist ondansetron.
6.2. Γ-Aminobutyric Acid Receptor Modulators
(Benzodiazepines and Related Drugs)
A majority of the synapses in the
mammalian CNS use the amino acids I-glutamic acid,
glycine, or γ-aminobutyric acid (GABA) for signaling.
GABA is formed by the decarboxylation of I-glutamate,
stored in neurons, and released, and its action is
terminated by reuptake; GABA's action mimics the
naturally occurring inhibitory transmission in the
mammalian nervous system. Because of these findings,
it has been accepted for over 20 years that GABA
fulfills the characteristics of a neurotransmitter (Paul,
1995). Along with I-glutamate, acetylcholine, and
serotonin, GABA possesses two different types of
receptor conserved across different species and phyla
that control both excitation and inhibition. Molecular
biological studies of the receptors causing these effects
have indicated that GABA's effects on ionic
transmission (ionotropic) and metabolism
(metabotropic) are mediated by proteins in two different
superfamilies. The first superfamily (GABAAreceptors)
is a set of ligand-gated ion channels (ligand-gated
superfamily) that convey GABA's effects on fast
synaptic transmission (Siegharr, 1995). When a
GABAA receptor is activated, an ion channel is opened
(gated) and this allows chloride to enter the cell; the
usual result of chloride entry is a slowing of neuronal
activity through hyperpolarization of the cell membrane
potential. The second superfamily (GABAB) is slower,
mediating GABA's action on intracellular effectors
through a seven transmembrane spanning receptor
(serpentine superfamily) that modulates the action of
certain guanine nucleotide binding proteins (G proteins)
(Kaupmann et al., 1997). Through their activity on
other effector systems, G proteins can change second
messenger levels, altering signal transduction and gene
expression, or open ion channels that are dependent on
the G-protein subunit activities (Wess, 1997). Both
excitatory and inhibitory activities are possible on a
time scale that is longer than GABAA receptor
mediated events. There is extensive heterogeneity in the
structure of the GABAA receptor members of the
ligand-gated superfamily. These receptors are the
targets of a number of widely used and prescribed drugs
for sleep, anxiety, seizure disorders, and cognitive
enhancement; they may also contribute to mediating the
effects of ethanol on the body.
It is well established that the GABAA
receptors possess binding sites for the neurotransmitter
GABA, as well as allosteric modulatory sites for
benzodiazepines, barbiturates, neurosteroids,
anesthetics, and convulsants (Tallman et al., 1980;
Tallman and Gallager, 1985).
6.3. Corticotrophin-Releasing Factor Modulators
Corticotrophin-releasing factor (CRF) is a 41
amino acid peptide that plays an important role in
mediating the body‘s physiologic and behavioral
responses to stress (Koob et al, 1993). Figure (1)
illustrates that this role of CRF may be mediated by
multiple sites of action. As a secretagogue, CRF
stimulates the release of adrenocorticotropic hormone
(ACTH) from the pituitary. In addition, CRF plays a
neurotransmitter or neuromodulatory role through
neurons and receptors distributed in diverse brain
regions (DeSouza and Grigoriadis, 1995). CRF neurons,
localized in the hypothalamic periventricular nucleus,
are a major mediator of stress-induced activation of the
hypothalamic-pituitary-adrenal (HPA) axis, whereas
pathways innervating limbic and cortical areas are
thought to mediate the behavioral effects of CRF. There
is a large body of both preclinical and clinical literature
implicating a key role of CRF in affective disorders
such as anxiety and depression. A significant clinical
literature suggests that dysfunctions of CRF in its role
as a hormone in the HPA axis or as a neurotransmitter
in the brain may contribute to the etiology of a variety
of psychiatric conditions, including anxiety and
depression (Gold et al., 1995). The link between CRF
and depression is particularly strong, as numerous
clinical studies have demonstrated that depressed
patients show elevated cerebrospinal fluid (CSF) levels
of CRF, elevated plasma cortisol, and a blunted ACTH
response following intravenous CRF. Successful
antidepressant treatment was shown to have a
normalizing effect on CRF levels. A role of CRF in
anxiety disorders has also been postulated, though the
clinical evidence is not as strong as it is for depression
(Arborelius et al., 1999). Preclinical studies have
demonstrated that CRF administered exogenously into
the central nervous system (CNS) can produce
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 586
behaviors indicative of anxiety and depression, for
example, heightened startle responses, anxiogenic
behaviors on the elevated plus maze, decreased food
consumption, and altered sleep patterns. The anxiogenic
effects of CRF are not blocked by adrenalectomy,
suggesting that they are centrally mediated effects
occurring independently of the HPA axis (Berridge and
Dunn, 1989a). Other studies strengthening the link
between CRF and anxiety include recent work by Kalin
et al. (2000) demonstrating that a ‗‗fearful‘‘ phenotype
in monkeys is associated with increased pituitary-
adrenal activity and increased brain CRF levels. Other
studies have shown that exposure to early postnatal
separation stress in rat pups results in elevated levels of
CRF messenger RNA (mRNA) in brain regions
including the paraventricular nucleus (PVN) and the
central nucleus of the amygdala (Heim et al., 1997;
Plotsky and Meaney, 1993). CRF acts through two Gs-
protein coupled receptors, the CRF-1 and CRF-2
receptor subtypes (Perrin and Vale, 2000; Dieterich et
al., 1997). CRF-1 receptors show homology to a
number of other neuropeptide receptors, including
vasointestinal peptide (VIP) and calcitonin (Perrin and
Vale, 2000).
Figure1. The role of corticotrophin-releasing factor (DeSouza and Grigoriadis, 1995)
CRF-1 and CRF-2 receptors have different
pharmacology and different localizations in the brain
and periphery. In situ hybridization and receptor
autoradiography techniques have been used to map the
relative distributions of CRF-1 and CRF-2 receptors in
the rat brain (Chalmers et al., 1995; Primus et al.,
1997). High expression of CRF-1 receptors was seen in
the pituitary, and in a number of brain regions including
the PVN of the hypothalamus, cerebral cortex, olfactory
bulb, cerebellar cortex, and basolateral and medial
amygdala. In contrast, high densities of CRF-2 are
found in more circumscribed regions, including the
lateral septum, ventromedial nucleus of the thalamus,
and choroid plexus. Moderate densities of CRF-2
receptors were reported for the medial amygdala and
dorsal raphe nucleus (Sanchez and Young, 1999). CRF
receptors utilize 3',5'-cyclic adenosine monophosphate
(cAMP) as a second messenger in the pituitary and
brain and can be regulated by chronic activation.
Thus, desensitization following exposure to CRF has
been demonstrated both in vitro (Dieterich et al., 1966)
and in vivo (Hauger and Aguilera, 1993). Furthermore,
chronic stress can down-regulate CRF receptors and
decrease CRF-stimulated cAMP production in multiple
brain areas (Aguilera et al, 1987; Anderson and Kant,
1993). Down-regulation of pituitary CRF receptors
following adrenalectomy presumably results from
decreased ACTH mediated inhibitory feedback, which
produces excess CRF stimulation. There are a number
of pharmacologic agents available for dissecting the
functional significance of CRF-1 and CRF-2 receptors.
Much work has been carried out using the peptide
antagonists α-helical-CRF and D-Phe CRF. However,
these compounds have shortcomings in that they do not
penetrate the CNS and therefore have to be
administered intracerebro-ventricular (icv).
Furthermore, they do not discriminate between CRF
receptor subtypes and therefore do not allow a
determination of their relative contributions to behavior.
More recently, the development of selective,
nonpeptidic antagonists of the CRF-1 receptor such as
CP 154,526 (Schulz et al., 1996) have provided
important pharmacologic tools for the analysis of CRF-
1 receptor function. Mutation studies have
demonstrated that peptide and nonpeptide antagonists
bind to different domains of the CRF-1 receptor (Perrin
and Vale, 2000). To date, selective CRF-2 antagonists
have not been described, though recently, non peptide
dual antagonists of the CRF-1 and CRF-2 receptors
have been described (Luthin and Rabinovich, 1999).
Studies utilizing transgenic and knockout mouse models
have provided important information with regard to the
contribution of CRF and CRF receptor subtypes to
processes including energy balance, emotionality,
cognition, and drug dependence (Contarino et al, 1999).
Over expression of CRF in transgenic mice produced
anxiogenic effects using either the black-white box test
(Heinrichs, et al, 1997) or the elevated plus maze
(Stenzel-Poore et al, 1994). The latter effect was
reversed by central administration of the CRF receptor
antagonist a-helical CRF, but not by adrenalectomy,
supporting the role of central CRF pathways
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 587
independent of the HPA axis (Stenzel-Poore and
Heinrichs, 1994). Studies using antisense directed
against CRF in rats have produced evidence of
anxiolytic activity (Skutella et al., 1998). Finally, over
expression of CRF-BP is anxiolytic, whereas binding
protein knockout mice (in which free CRF levels are
elevated) display an anxiogenic phenotype in the
elevated plus maze (Ramesh et al., 1998). These data
generally support the link between CRF and anxiety.
More recently, several studies have highlighted
the importance of the CRF-l receptor subtype in
anxiety. CRF1 knockout mice demonstrated a
diminished anxiogenic response on the elevated plus
maze and decreased ACTH and corticosterone
responses to restraint stress (Smith et al., 1999). Similar
findings were reported, using the blackwhite box
anxiety paradigm (Timpl et al., 1998). Furthermore,
inactivation of the CRF-l receptor with an antisense
oligonucleotide was shown to reduce the anxiogenic
effect of intraventricularly administered CRF (Skutella
et al., 1998). Liebsch et al., 1995 provided evidence of
anatomic localization by showing anxiolytic activity
from CRF-l antisense that was chronically infused into
the central nucleus of the amygdala, an area of the
limbic system shown by Davis M, 1997; LeDoux J,
1996, and others to be important in mediating fear and
anxiety processes. Finally, CRF-2 knockout mice show
anxiety-like behavior and are hypersensitive to stress
(Bale et al., 2000), indicating that the CRF-2 receptor
has an opposite functional role to that of the CRF-l
receptor. Thus, it could be argued that CRF-2 agonists,
rather than antagonists, might be potentially useful as
anxiolytic agents.
Another potential use for CRF antagonists is in
the treatment of drug abuse. Several lines of evidence
suggest that during the period of withdrawal from drugs
of abuse such as ethanol, morphine, and cocaine, there
is an activation of central CRF pathways. Anxiety is
among the many physical symptoms of drug
withdrawal, and given the link that has been made
between CRF and anxiety, it is not surprising that CRF-
l receptor knockout mice demonstrated decreased
anxiety responses during withdrawal from alcohol
(Timpl et al., 1998).
6.4. Neurokinin Receptor Antagonists
There is an extensive literature demonstrating
that the peptide tachykinins such as substance P and
their associated receptors have a widespread
distribution in the brain, spinal cord, and periphery, and
may play important roles in chronic pain and
inflammation processes (Otsuka and Yoshioka, 1993;
Khawaja and Rogers, 1996; Longmore et al., 1997;
Mantyh et al., 1989; Tooney et al., 2000). In addition,
anatomic and physiologic evidence has also indicated
that these peptides limbic structures that are involved in
the regulation of mood, such as the amygdala,
hypothalamus, and periaqueductal gray (Culman and
Unger, 1995). This notion is supported by early positive
clinical findings using a selective neurokinin-l (NK-l)
antagonist for the treatment of depression and anxiety
(Kramer et al., 1998). Tachykinins collectively refer to
small peptides that include substance P (SP), neurokinin
A (NK-A), and neurokinin B (NK-B). These peptides
show preferential affinity for three receptors, designated
NK-l, NK-2, and NK-3, respectively, which are
members of the seven-transmembrane, G-protein-
coupled family. Of these three receptors, NK-l and NK-
3 are found in the brain, whereas NK-2 is primarily
localized peripherally in smooth muscle of the
respiratory, urinary, and gastrointestinal tracts.
Neurokinin receptors are localized in a number of
different brain areas that are implicated in anxiety,
including the amygdala, hypothalamus, and locus
coeruleus.
Studies assessing the effects of direct
administration of neurokinin agonists such as substance
P into the nervous system are complicated by the
findings that, depending on factors such as the site and
dose, opposite effects on behavior may be achieved
(Kramer et al, 1998).
6.5. Cholecystokinin B antagonists
Cholecystokinin (CCK) is a peptide found
extensively both in the gut (where it was originally
identified) and in the brain (Mutt and Jorpes, 1971).
CCK exists in multiple forms, the most predominant of
which is CCK octapeptide (CCK8) and, to a lesser
extent, CCK tetrapeptide (CCK4) (Hokfel et al., 1985).
CCK is colocalized with a number of different
neurotransmitters, including serotonin, dopamine,
GABA, substance P, neuropeptide Y, and VIP. CCK-
like immunoreactivity has been demonstrated in
anatomic regions that include the amygdala, cerebral
cortex, hippocampus, striatum, hypothalamus, and
spinal cord (Emson et al., 1982). There are two
subtypes of CCK receptor, CCKA (sulfated CCK) and
CCKB (unsulfated CCK) (Moran et al., 1986). CCKA
receptors are localized in the nucleus accumbens,
posterior hypothalamus, and area postrema. CCKB
receptors are localized in cortex, olfactory bulb, nucleus
accumbens, and other brain areas (Pisegna et al., 1992).
7.CONCLUSION
It can be concluded that anxiety is manifest by
disturbances of mood, thinking, behaviour, and
physiological activity and accompanying disturbances
of sleep, concentration, social and/or occupational
functioning. Also, it is associated with restlessness,
feeling keyed up or on edge, being easily fatigued,
difficulty in concentrating or mind going blank,
irritability, muscle tension, and irritability. The etiology
of anxiety may include stress, diabetes, depression,
genetic, and environmental factors. Drugs to reduce
anxiety have been used by human beings for thousands
of years. The drugs were used to reduce anxiety,
including the barbiturates and the carbamates
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 588
(meprobamate) drugs were used for treatment of
anxiety in the first half of the 20th century and some
continue to be used today. Anxiety disorders should be
treated with psychological therapy, pharmacotherapy,
or a combination of both.
REFERENCES
1. Munir, S., Gondal, A.Z., & Takov, V., (2019).
Generalized anxiety disorder.
https://www.ncbi.nlm.nih.gov/books/NBK441870
2. Greenberg, P. E., Sisitsky, T., Kessler, R. C.,
Finkelstein, S. N., Berndt, E. R., Davidson, J. R., ...
& Fyer, A. J. (1999). The economic burden of
anxiety disorders in the 1990s. The Journal of
clinical psychiatry.
3. Markowitz, J. S., Weissman, M. M., Ouellette, R.,
Lish, J. D., & Klerman, G. L. (1989). Quality of
life in panic disorder. Archives of General
Psychiatry, 46(11), 984-992.
4. Magee, W. J., Eaton, W. W., Wittchen, H. U.,
McGonagle, K. A., & Kessler, R. C. (1996).
Agoraphobia, simple phobia, and social phobia in
the National Comorbidity Survey. Archives of
general psychiatry, 53(2), 159-168.
5. Barlow, D.H. (1988). Anxiety and its disorders:
The nature and treatment of anxiety and panic. New
York: Guilford Press.
6. Schweizer, E. (1995). Generalized Anxiety
Disorder: Longitudinal Course and
Pharmacologic. Psychiatric Clinics of North
America, 18(4), 843-857.
7. Ballenger, J. C., Davidson, J. R., Lecrubier, Y.,
Nutt, D. J., Bobes, J., Beidel, D. C., ... &
Westenberg, H. G. (1998). Consensus statement on
social anxiety disorder from the International
Consensus Group on Depression and Anxiety. The
Journal of clinical psychiatry.
8. Marks, I.M . (1969). Fears and phobias. New York:
Academic Press.
9. Kessler, R. C., Sonnega, A., Bromet, E., Hughes,
M., & Nelson, C. B. (1995). Posttraumatic stress
disorder in the National Comorbidity
Survey. Archives of general psychiatry, 52(12),
1048-1060.
10. Eddy, M. F., & Walbroehl, G. S. (1998).
Recognition and treatment of obsessive-compulsive
disorder. American Family Physician, 57(7), 1623-
8.
11. National Institute of Mental Health (US).
(1998). Genetics and mental disorders: report of
the National Institute of Mental Health's Genetic
Workgroup (No. 84). National Institutes of Health.
12. Maciejewski, P. K., Prigerson, H. G., & Mazure, C.
M. (2001). Sex differences in event-related risk for
major depression. Psychological medicine, 31(4),
593-604.
13. Barbee, J. G. (1998). Mixed symptoms and
syndromes of anxiety and depression: diagnostic,
prognostic, and etiologic issues. Annals of Clinical
Psychiatry, 10(1), 15-29.
14. Thorn,G.R., Chosak, A., Baker, S.L., & Barlow,
D.H. (1999). Psychological theories of panic
disorder. In: Nutt DJ, Ballenger JC, Lepine JP
(Editors), Panic disorder: Clinical diagnosis,
management and mechanisms. London: Martin
Dunitz Ltd, pp. 93108.
15. Rush, A. J., Stewart, R. S., Garver, D. L., &
Waller, D. A. (1991). Neurobiological bases for
psychiatric disorders. Comprehensive neurology,
555-603.
16. Kandel, E. R. (1999). Biology and the future of
psychoanalysis: a new intellectual framework for
psychiatry revisited. American journal of
Psychiatry, 156(4), 505-524.
17. Barlow, D. H., Chorpita, B. F., & Turovsky, J.
(1996). Fear, panic, anxiety, and disorders of
emotion.
18. Ingram, R. E., Miranda, J., & Segal, Z. V.
(1998). Cognitive vulnerability to depression.
Guilford Press.
19. Smoller, J.W., & Tsuang, M.T. (1998). Panic and
phobic anxiety: Defining phenotypes for genetic
studies. Am. J. Psychiatry, 155; 11521162.
20. Coplan, J.D., Pine D.S., Papp, L.A., & Gorman,
J.M. (1997). A view on noradrenergic,
hypothalamic-pituitary-adrenal axis and extra-
hypothalamic corticotrophin-releasing factor
function in anxiety and affective disorders: The
reduced growth hormone response to clonidine.
Psychopharmacology Bull., 33; 193204.
21. Nolen, S., Larson, J., & Grayson, C. (1999).
Explaining the gender difference in depressive
symptoms. Journal of Personality and Social
Psychology, 77(5), 1061-1072.
22. Kaplan, H.I., & Sadock, B.J. (1995).
Comprehensive Textbook of Psychiatry/VI. 6th ed.
Williams & Wilkins, Baltimore, Maryland. pp.
1244-48.
23. Ressler, K.J., & Nemeroff, C.B. (2000). Role of
serotonergic and noradrenergic systems in the
pathophysiology of depression and anxiety
disorders. Depress Anxiety, 12(1), 2-19.
24. Nutt, D.J. (2001). Neurobiological mechanisms in
generalized anxiety disorder. J. Clin. Psychiatry,
62(11), 22-7.
25. Korte, S.M. (2001). Corticosteroids in relation to
fear, anxiety and psychopathology. Neurosc.
Biobehav, Rev; 25(1), 17-42.
26. Coplan, J.D., & Lydiard, R.B. (1998). Brain
circuits in panic disorder. Bio, Psychiatry. 44;
12641276.
27. Pitsavos, C., Panagiotakos, D.B., Papageorgiou, C.,
Tsetsekou, E., Soldatos, C., & Stefanadis, C.
(2006). Anxiety in relation to inflammation and
coagulation markers, among healthy adults, the
ATTICA study. Atherosclerosis 185; 320-326.
28. Kobrosly, R., & van, W E. (2010). Associations
between immunologic, inflammatory, and
oxidative stress markers with severity of depressive
symptoms; an analysis of the 20052006 National
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 589
Health and Nutrition Examination Survey.
Neurotoxicology 31, 126-133.
29. Duivis, H.E., Kupper, N., Penninx, B.W., Na, B.,
de, J. P., & Whooley, M.A. ( 2013). Depressive
symptoms and white blood cell count in coronary
heart disease patients; Prospective findings from
the Heart and Soul Study.
Psychoneuroendocrinology 38, 479-487.
30. Aydin Sunbul, E., Sunbul, M., Yanartas, O.,
Cengiz, F., Bozbay, M., Sari, I., & Gulec, S.
(2016). Increased Neutrophil/Lymphocyte Ratio in
Patients with Depression is Correlated with the
Severity of Depression and Cardiovascular Risk
Factors. Psychiatry investigation 13, 121-126.
31. Shafiee, M., Tayefi, M., Hassanian, S. M.,
Ghaneifar, Z., Parizadeh, M. R., Avan, A., &
Moohebati, M. (2017). Depression and anxiety
symptoms are associated with white blood cell
count and red cell distribution width; A sex-
stratified analysis in a population-based study.
Psychoneuroendocrinolgy, 84, 101-108.
32. Madjid, M., Awan, I., Willerson, J.T., & Casscells,
S.W. (2004). Leukocyte count and coronary heart
disease: implications for risk assessment. Journal
of the American College of Cardiology 44, 1945-
1956.
33. Loimaala, A., Rontu, R., Vuori, I., Mercuri, M.,
Lehtimäki, T., Nenonen, A., and Bond, M.G.
(2006). Blood leukocyte count is a risk factor for
intima-media thickening and subclinical carotid
atherosclerosis in middle-aged men.
Atherosclerosis 188, 363-369.
34. Patel, K.V., Ferrucci, L., Ershler, W.B., Longo,
D.L., & Guralnik, J.M. (2009). Red blood cell
distribution width and the risk of death in middle-
aged and older adults. Archives of internal
medicine 169, 515-523.
35. Montagnana, M., Cervellin, G., Meschi, T., &
Lippi, G. (2012). The role of red blood cell
distribution width in cardiovascular and thrombotic
disorders. Clinical Chemistry and Laboratory
Medicine 50, 635-641.
36. Goddard, A.W., & Charney, D.S. (1997). Toward
an integrated neurobiology of panic disorder. J,
Clin. Psychiatry, 58( 2), 411.
37. Sullivan, G.M., Coplan, J.D., & Gorman, J.M.
(1998). Psychoneuroendo- crinology of anxiety
disorders. Psych. Clin. . Am., 21; 397412.
38. McEwen, B.S. (1998). Protective and damaging
effects of stress mediators. New Eng. J. Med.,
338;171-179.
39. Jacobson, L., & Sapolsky, R. (1991). The role of
the hippocampus in feedback regulation of the
hypothalmic-pituitary-adrenocortical axis.
Endocrine Rev., 12; 118134.
40. Charney, D.S., & Deutch, A. (1996). A functional
neuroanatomy of anxiety and fear: Implications for
the pathophysiology and treatment of anxiety
disorders. Crit. Rev. Neurobiol., 10; 419446.
41. Adolphs, R., Tranel, D., & Damasio, A.R. (1998).
The human amygdala in social judgement. Nature,
393; 470474.
42. Davis, M. (1997). Neurobiology of fear responses;
The role of the amygdala, J, Neuropsychiatry &
Clin. Neuroscience. 9; 382 402.
43. LeDoux, J. (1996). Emotional networks and motor
control: A fearful view. Prog. Brain Res., 107,
437446.
44. Breiter, H.C., Etcoff, N.L., Whalen, P.J., Kennedy,
W.A., Rauch, S.L., Buckner, R.L., Strauss, M.M.,
Hyman, S.E., & Rosen, B.R. (1996). Response and
habituation of the human amygdala during visual
processing of facial expression. Neuron, 17; 875
887.
45. Rauch, S.L., Savage, C.R., Alpert, N.M., Miguel,
E.C., Baer, L., Breiter, H. C., Fischman, A.J.,
Manzo, P.A., Moretti, C., & Jenike, M.A. (1995).
A positron emission tomographic study of simple
phobic symptom provocation. Arch. Gen.
Psychiatry, 52; 2028.
46. McEwen, B.S., & Magarinos, A.M. (1997). Stress
effects on morphology and function of the
hippocampus. Annals of the New York Academy of
Sciences, 821; 271284.
47. Lucki, I. (1996). Serotonin receptor specificity in
anxiety disorders. J, Clin, Psychiatry, 57(6), 5-10.
48. Critchley, M.A., & Handley, S.L. (1987). Effects
in the X-maze anxiety model of agents acting at 5-
HT1 and 5-HT2 receptors. Psychopharmacology
(Berl), 93; 502-506.
49. Gleeson, S., Ahlers, S.T., & Mansbach, R.S.
(1989). Behavioral studies with anxiolytic drugs,
VI effects on punished responding of drugs
interacting with serotonin receptor subtypes. J.
Pharmaco. Exp. Ther., 250;809-817.
50. Kennett, G.A., Whitton, P., & Shah, K. (1989).
Anxiogenic-like effects of mCPP and TFMPP in
animal models are opposed by 5HT1c receptor
antagonists. Eur. J. Pharmacol., 164: 445-454.
51. Costall, B., & Naylor, R.J. (1991). Anxiolytic
potential of 5-HT3 receptor antagonists.
Pharmacol. Toxicol., 70; 157-162.
52. Ramboz, S., Oosting, R., & Ait, A.D. (1998).
Serotonin receptor lA knockout; an animal model
of anxiety-related disorder. Proc. Natl. Acad. Sci.
USA, 95(24), 14476-14481.
53. Johnson, A.L., & File, S.E. (1986). 5-HT and
anxiety: promises and pitfalls. Pharmacol.
Biochem. Behav., 24;1467-1470.
54. Coplan, J.D., Wolk, S.I & Klein, D.F. (1995).
Anxiety and the serotonin1A receptor. In: Bloom
FE, Kupfer DJ (editors). Psychopharmacology: the
fourth generation of progress. New York: Raven
Press, 1301-1311.
55. Mahmood, I., & Sahajwalla, C. (1999). Clinical
pharmacokinetics and pharmacodynamics of
buspirone, an anxiolytic drug. Clin.
Pharmacokinet. 36(4), 277-287.
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 590
56. Laakmann, G., Schule,C., & Lorkowski, G. (1998).
Buspirone and lorazepam in the treatment of
generalized anxiety disorder in outpatients.
Psychopharmacology (Berl), 136(4), 357-366.
57. Rocca, P., Fonzo, V., & Scotta, M. (1997).
Paroxetine efficacy in the treatment of generalized
anxiety disorder. Acta Psychiatr. Scand., 95;444-
450.
58. Goodman, W.K. (1999). Obsessive-compulsive
disorder: diagnosis and trearment. J. Clin.
Psychiatry, 60(18), 27-32.
59. Broocks, A., Pigott, T.A., & Hill, J.L. (1998).
Acute intravenous administration of ondansetron
and m-CPP, alone and in combination, in patients
with obsessive-compulsive disorder (OCD):
behavioral and biological results. Psychiatry Res.,
79(1),11-20.
60. Pian, K.L., Westenberg, H.G., & van, M.H.J.
(1998). Sumatriptan (5- HT1D recepror agonist)
does not exacerbate symptoms in obsessive-
compulsive disorder. Psychopharmacology (Berl),
140(3), 365-370.
61. den, B. J.A. (1998). Pharmacotherapy of panic
disorder: differential efficacy from a clinical
viewpoint. J. Clin. Psychiatry, 59(8), 30-36.
62. Bell, C.J., & Nutt, D.J. (1998). Serotonin and
panic. Br. J. Psychiatry, 172; 465-471.
63. Paul, S. (1995). GABA and glycine. In: Bloom FE,
Kupfer DJ (editors). Psychopharmacology: the
fourth generation of progress. New York: Raven
Press, 87-94.
64. Siegharr, W. (1995). Structure and pharmacology
of γ-aminobutyric acid A receptor subtypes.
Pharmacol. Rev., 47; 181-234.
65. Kaupmann, K., Nuggel, K., & Heid, J. (1997).
Expression cloning of GABAB receptors uncovers
similarity to metabotropic glutamate receptors.
Nature, 386; 239-246.
66. Wess, J. (1997). G-protein-coupled receptors:
molecular mechanisms involved in receptor
activation and selectivity of G-protein recognition.
FASEB. J., 11; 346-354.
67. Tallman, J.F, Paul, S.M, & Skolnick, P. (1980).
Receptors for the age of anxiety: pharmacology of
the benzodiazepines. Science, 207;274-281.
68. Tallman, J.F & Gallager, D.W. (1985). The
GABA-ergic system: a locus of benzodiazepine
action. Annu. Rev. Neurosci., 8;21-44.
69. Koob, G.F., Heinrichs, S.C., & Pich, E.M. (1993).
The role of corticotropin-releasing factor in
behavioral responses to stress. In: Chadwick OJ,
Marsh J, Ackrill K (editors). Corticotropin-
releasing factor. Ciba Found Symp., 172; 277-289.
70. DeSouza, E.B., & Grigoriadis, D.E. (1995).
Corticotropin-releasing factor. Physiology,
pharmacology, and role in central nervous system
and immune disorders. In: Bloom FE, Kupfer OJ,
(editors). Psychopharmacology: the fourth
generation of progress. New York: Raven Press,
505-517.
71. Gold, P.W., Licinio, J., & Wong, M.L. (1995).
Corticotropin releasing hormone in the
pathophysiology of melancholic and atypical
depression and in the mechanism of action of
antidepressant drugs. Ann. NY. Acad. Sci., 771;
716-729.
72. Arborelius, L., Owens, M.J., & Plorsky, P.M.
(1999). The role of corticotropin-releasing factor in
depression and anxiety disorders. J. Endocrinol.,
160; 1-12.
73. Berridge, C.W, & Dunn, A.J. (1989). CRF and
restraint stress decrease exploratory behavior in
hypophysectomized mice. Pharmacol. Biochem.
Behav., 34:517-519. 47: 579-585.
74. Kalin, N.H., Helton, S.E., & Davidson, R.J. (2000).
Cerebrospinal fluid corticotrophin-releasing
hormone leveles are elevated in monkeys with
patterns of brain activity associated with fearful
temperature. Biol. Psychiatry, 47; 579-585.
75. Heim, C., Owen, M.J., & Plotsky, P.M. (1997).
The role of early adverse life events in the etiology
of depression and posttraumatic stress disorder.
Focus on corticotropin releasing factor. Ann. NY.
Acad. Sci., 821; 194-207.
76. Plotsky, P.M., & Meaney, M.J. (1993). Early
postnatal experience alters hypothalamic
corticotropin-releasing factor (CRF) mRNA,
median eminence CRF content and stress-induced
release in adult rats. Brain. Res. Mol. Brain. Res.,
8; 195-200.
77. Perrin, M.H., & Vale, W.W. (2000). Corticotropin
releasing factor receptors and their ligand family.
Ann. NY. Acad. Sci., 885; 312-328.
78. Dieterich. K.D., Lehnert, H., & DeSouza. E.B.
(1997). Corticotropin-releasing factor receptors: an
overview. Exp. Clin. Endocrinol. Diabetes,105;
65-82.
79. Chalmers, D.T., Lovenberg,T.W., & DeSouza, E.B.
(1995). Localization of novel corticotropin-
releasing factor receptor (CRF-2) mRNA
expression to specific subcortical nuclei in rat
brain: comparison with CRF-l receptor mRNA
expression. J. Neurosci., 15; 6340-6350.
80. Primus, R.J., Yevich, W., & Baltazar, C. (1997).
Autoradiographic localization of CRF-l and CRF-2
binding sites in dult rat brain.
Neuropsychopharmacology, 17; 308-316.
81. Sanchez, M.M., & Young, L.J. (1999).
Autoradiographic and in situ hybridization
localization of corticotropin-releasing factor 1 and
2 receptors in nonhuman primate brain. J. Comp.
Neuro., 408; 365-377.
82. Dieterich, K.D., Grigoriadis, D.E., & DeSouza E.B.
(1966). Homologous desensitization of human
corticotropin-releasing factor 1 receptor in stable
transfected mouse fibroblast cells. Brain Res., 710;
287-292.
83. Hauger, R.L., & Aguilera, G. (1993). Regulation
of pituitary corticotropin releasing hormone (CRH)
Almokhtar A. Adwas et al., East African Scholars J Med Sci; Vol-2, Iss-10 (Oct, 2019): 580-591
© East African Scholars Publisher, Kenya 591
receptors by CRH: interaction with vasopressin.
Endocrinology, 133;1708-1714.
84. Aguilera, G., Millan, M.A & Hauger, R.L. (1987).
Corticotropin-releasing factor receptors:
distribution and regulation in brain, pituitary, and
peripheral tissues. Ann. NY. Acad. Sci., 512; 48-66.
85. Anderson, S.M., & Kant, G.J. (1993). Effects of
chronic stress on anterior pituitary and brain
corticotropin-releasing factor receptors.
Pharmacol. Biochem. Behav., 44; 755-761.
86. Schulz, D.W., Mansbach, R.S., & Sprouse, J.
(1996). CP-154,526: a potent and selective
nonpeptide antagonist of corticotropin releasing
factor receptors. Proc. Natl. Acad. Sci. USA, 93;
10477-10482.
87. Luthin, D.R., & Rabinovich, A.K. (1999).
Synthesis and biological activity of oxo-7H-
benzo(e)perimidine-4-carboxylic acid derivatives
as potent, nonpeptide corticotropin releasing factor
(CRF) receptor antagonists. Bioorg. Med. Chem.
Lett., 9(7),765-770.
88. Contarino, A., Heinrichs, S.C., & Gold, L.H
(1999). Understanding corticotropin releasing
factor neurobiology: contributions from mutant
mice. Neuropeptides, 33; 1-12.
89. Heinrichs, S.C., Lapsansky, J., & Lovenberg, T.W.
(1997). Corticotropin releasing factor CRF-1, but
not CRF-2, receptors mediate anxiogenic-like
behavior. Regul. Pept., 71;15-21.
90. Stenzel-Poore, M.P., & Heinrichs, S.C. (1994).
Overproduction of corticotropin-releasing factor in
transgenic mice: a genetic model of anxiogenic
behavior. J. Neurosci., 14; 2579-2584.
91. Skutella, T., Probst, J.C., & Renner, U. (1998).
Corticotropin-releasing hormone receptor (type 1)
antisense targeting reduces anxiety. Neuroscience,
85; 795-805.
92. Ramesh, T., Karolyi, I., & Nakajima, M. (1998).
Increased anxiety in corticotropin releasing
hormone-binding protein-deficient mice. Brain
Res., 809; 23.
93. Smith, G. W., Aubry, J, M., & Dellu, F. (1999).
Corticotropin releasing factor receptor-1 deficient
mice display decreased anxiety impaired stress
response, and aberrant neuroendocrine
development. Neuron. 20; 1093-1102.
94. Timpl, P., Spanagel, R., & Sillaber, I. (1998).
Impaired stress response and reduced anxiety in
mice lacking a functional corticotrophin releasing
hormone receptor. Nature Genet.,19; 162-166.
95. Liebsch,G., Landgraf, R., & Gerstberger, R.
(1995). Chronic infusion of a CRF-1 receptor
anrisense oligonucleotide into the central nucleus
of the amygdala reduced anxiety-related behavior
in socially defeated rats. Regul. Pept., 59; 220-39.
96. Bale, T. L., Contarino, A., & Smith, G.W. (2000).
Mice deficient for corticotrophin-releasing
hormone receptor-2 display anxiety like behaviore
and are hypersensitive to stress. Nature. Genet, 24;
410-414.
97. Otsuka, M., & Yoshioka, K. (1993).
Neurotransmitter functions of mammalian
tachykinins. Physiol. Rev., 73; 229-308.
98. Khawaja, A.M., & Rogers, D.F. (1996).
Tachykinins: recepror to effector. Int. J. Biochem.
Biol., 28; 721-738.
99. Longmore, J., Hill, R.G.,& Hargreaves, R.J.
(1997). Neurokinin-receptor antagonists:
pharmacological tools and therapeutic drugs. Can.
J. Physiol. Pharmacol., 75; 612-621.
100. Mantyh, P.W., Gates, T., & Mantyh, C.R. (1989).
Autoradiographic localization and characterization
oftachykinin receptor binding sites in the rat brain
and peripheral tissues. J. Neurosci., 9; 258-279.
101. Tooney, P.A., A.u.G.G., & Chahl, L.A., (2000).
Localization of tachykinin NK1 and NK3 receprors
in the human prefrontal and visual cortex.
Neurosci. Lett., 283; 185-188.
102. Culman, J., & Unger, T. (1995). Central
tachykinins: mediators of defence reaction and
stress reactions. Can. J. Physiol. Pharmacol., 73;
885-891.
103. Kramer, M.S., Cutler. N., & Feighner, J. (1998).
Distinct mechanism for antidepressant activity by
blockade of central substance P receptors. Science,
281; 1640-1645.
104. Mutt, V., & Jorpes, E. (1971). Hormonal
polypeptides of the upper intestine. Biochem. J.,
125; 57-58.
105. Hokfel, T., Skirboll, L., & Everitt, B., (1985).
Distribution of cholecystokinin-like
immunoreactivity in the nervous system. Co-
existence with classical neurotransmitters and other
neutopeptides. Ann. NY. Acad. Sci., 448; 255-274.
106. Emson, P.C., Rehfidd, J.F., & Rossor, M.N. (1982).
Distribution of cholecystokinin-like peptides in the
human brain. J. Neurochem., 38;1177-1179.
107. Moran, T.H.,& Robinson, P.H. (1986). Two brain
cholecystokinin receptors: implications for
behavioral actions. Brain Res., 362; 175-179.
108. Pisegna, J.R., deWeerthm, A., & Huppi, K., (1992).
Molecular cloning of the human brain and gastric
cholecystokinin receptor: structure, functional
expression and chromosomal localization.
Biochem. Biophys. Res. Commun., 189; 296-303.
... Anxiety disorders are the most common mental health issues resulting in excessive worry, social fears, sudden panic attacks, and avoidance behaviors (Adwas et al., 2019;Szuhany & Simon, 2022). These conditions, such as separation anxiety disorder, specific phobias, selective mutism, social anxiety disorder, panic disorder, agoraphobia, and generalized anxiety disorder, often start when people are young (Craske & Stein, 2016). ...
... There are several types of anxiety disorders, each with its signs and symptoms, all of which involve excessive worry or fear (Adwas et al., 2019). Panic disorder involves sudden panic attacks with intense fear and physical symptoms. ...
Article
Full-text available
This study discusses the development and evaluation of a Game-Based Learning (GBL) application designed to educate students about anxiety disorders. The study addresses the challenge of engaging students in mental health education by creating an interactive game called “AnxiScape” using the Game Development Life Cycle (GDLC) methodology. The game aims to enhance students’ understanding of anxiety through an enjoyable and immersive experience. Evaluation results, based on the E-Game Flow Model and Heuristic Evaluation, indicate high levels of user enjoyment (90%) and usability (85.4%), demonstrating the game’s effectiveness in capturing attention, providing feedback, and improving knowledge. Integrating educational content with interactive elements can significantly enhance learning outcomes. The study suggests future improvements to optimize the game’s performance and balance educational depth with user engagement.
... Cognitive difficulties such as trouble concentrating, organizing thoughts, and memory issues are common, alongside emotional effects like isolation, insecurity, and self-consciousness. These symptoms often manifest in physical reactions such as headaches, nausea, trembling, stomach pain, sweating, and increased heart rate, which collectively hinder performance and wellbeing (Yusuf & Bahadır, 2022;Shivani & Ashwani, 2015;Almokhtar et al., 2019). These observations align with Joseph et al.'s (2023) definition of examination anxiety, encompassing physiological, emotional, cognitive, and behavioral responses associated with exam participation. ...
... While stress is usually triggered by an external stressor and lasts for a short period of time, anxiety is persistent, even after a concern has passed. [1,3] Mental health problems are common e x p e r i e n c e s a m o n g y o u n g a d u l t s particularly university students [1,4] and it is reported that 12-50% of university students meet the criteria for one or more mental problems, worldwide. [1] This remarkable rate of psychological distress has been shown to be associated with inappropriate life outcomes including lower academic performance, employment rate and income. ...
Article
Full-text available
BACKGROUND Mental health problems, specifically, depression, anxiety, and stress are among the major public health issues worldwide. Diet modification can be a helpful strategy for the prevention and management of psychological disorders. Therefore, the present study aims to explore the association between major dietary patterns and mental health problems among Iranian college students. MATERIALS AND METHODS This cross-sectional study was conducted on 412 college students. Dietary intakes were assessed using a 168-item semi-quantitative Food Frequency Questionnaire (FFQ). The 42-item Depression, Anxiety, and Stress Scale was applied to evaluate subjects’ mental health. Major dietary patterns were identified using principal component analysis. Logistic regression was applied to assess the association between major dietary patterns and mental health problems. RESULTS Participants in the third tertile of the “plant-based” dietary pattern had lower odds of depression compared with the first tertile, after adjustment for the potential confounders [odds ratio (OR) = 0.44, 95% confidence interval (CI): 0.17–0.65, P trend <0.01 for model I and OR = 0.42, 95% CI: 0.17–0.67, P trend <0.01 for model II]. The “plant-based” dietary pattern showed no significant association with the risk of stress and anxiety. However, this association for anxiety became marginally significant in model II (OR = 0.53, 95% CI: 0.36–0.98, P trend = 0.07). The “Western” dietary pattern also was not associated with the likelihood of depression, stress, and anxiety. CONCLUSION A strong inverse association was observed between the “plant-based” dietary pattern and depression. While the “Western” dietary pattern was not associated with mental health problems among college students, further prospective studies are warranted.
... It will be a significant advancement in treatment research to test psychotherapy and pharmacological strategies that target subtypes. To enable optimal therapy, the OCD symptom dimensions assessment needs to be modified for therapeutic usage [137][138][139][140]. Feature assessment of the Y-BOCS Indication List is now used to evaluate dimensions, although this method is not feasible for application in clinical settings. ...
Article
Full-text available
Obsessive-compulsive disorder (OCD) requires careful evaluation due to underrecognition, difficulties in determining correct analyses, and the necessity for extensive therapy. We look at the approaches currently used to evaluate OCD in adults, such as quick or web-based screening tools, consistent investigative and other scientific meetings, unstandardized clinical interviews, and patient-family self-report assessments. Subjects on the subject, physicians, and researchers can select one of these techniques to measure obsessive-compulsive symptoms in a range of situations. Current OCD evaluation research has concentrated on fundamental sign sizes, implying that all symptom dimensions may have a distinct etiology and necessitate specific therapy. In the upcoming, research may show that a successful evaluation for OCD includes a determination of key indication size to aid in the selection of suitable therapies.
... Anxiety is one of the fundamental human emotions. It is characterized by disruptions in thought, behavior, physiological activity, and mood (Adwas et al., 2019). Anxiety is also related to depression (Knorring, 2005). ...
Article
Full-text available
The research examined the environmental factors of depression, anxiety, and stress related to Excessive Social Network Uploading. The study aimed to investigate the effects of new communication technologies on individuals' mental states. Descriptive analyses and parametric tests were used in the study. A total of 483 participants took part in the research, including 225 women and 258 men. The data were collected online from individuals aged 18 and above, using social networks across Turkey. Data were gathered using the Excessive Social Network Uploading (ESNU) Scale, the Depression, Anxiety, and Stress Scale (DAS-21), and a socio-demographic information form. Participants' exposure to excessive social network uploading was found to be at a moderate level. Varied distribution levels were found related to depression, anxiety, and stress among participants. Regression analysis pointed to excessive social network uploading predicting depression, anxiety, and stress. The researchers suggest these two variables should be explored in different study samples and models. Öz: Araştırma depresyon, anksiyete ve stresin çevresel faktörlerini aşırı sosyal ağ yüklenmesi açısından incelemiştir. Araştırmada yeni iletişim teknolojilerinin kişilerin ruhsal durumlarına olan etkilerinin incelenmesi amaçlanmıştır. Araştırmada betimleyici analizler ile parametrik testler kullanılmıştır. Araştırmaya 225 kadın, 258 erkek olmak üzere 483 kişi katılmıştır. Araştırmada veriler tüm Türkiye'de sosyal ağ kullanan 18 yaş ve üstü kişilerden çevrim içi toplanmıştır. Veriler, aşırı sosyal ağ yüklenmesi ölçeği (ASAYÖ), depresyon, anksiyete, stres ölçeği (DAS-21) ve sosyo-demografik bilgi formu ile toplanmıştır. Katılımcıların, aşırı sosyal ağ yüklenmesine maruz kalma durumu orta seviyededir. Katılımcıların depresyon, anksiyete ve stres düzeyleri farklı puanlarda dağılım göstermiştir. Yapılan regresyon analizi sonucunda aşırı sosyal ağ yüklenmesinin depresyon, anksiyete ve stresi yordadığı anlaşılmıştır. Araştırmacılar gelecekte yapılabilecek çalışmalarda bu 2 değişkenin farklı örneklemlerde ve farklı modellerde incelenmesini önermektedir.
Article
Plant‐based components have helped generate novel lead molecules and scaffolds for anxiety research in psychopharmacology. The present study examined the anxiolytic properties of sesamol (SES), a phenolic lignan derived from Sesamum indicum , employing both in vivo and computational methods to understand its mechanisms of action. In this experiment, adult Swiss albino mice received various doses of SES (25 and 50 mg/kg, p.o.) orally. Afterward, a series of behavioral assessments, including open field, swing, hole cross, and light–dark testing, were conducted. The impact of the GABAergic agonist diazepam (DZP‐1 mg/kg, i.p.) along with the antagonist flumazenil (FLU‐0.1 mg/kg, i.p.) has been studied as provided concurrently with the SES‐50 group. Computational studies were performed to comprehend the interaction between SES and GABA A receptor subunits (α 2 and α 3 ). The results of our investigation revealed that SES dose‐dependently and significantly ( p < 0.05) reduced the number of square crosses, hole crosses, swings, grooming, and rearing along with a reduction of light residence time in animals. When combined with DZP, SES‐50 significantly reduced all these parameters, while altering with FLU‐0.1. The molecular docking analysis showed that the SES has a relatively good binding score (−5.03 ± 0.15 and −5.25 ± 0.23 kcal/mol) with GABA A receptor α 2 and α 3 subunits, respectively. The SES triggers anxiolytic effects via GABA A receptor α 2 and α 3 subunit interactions. Furthermore, precise and comprehensive preclinical research must be considered to validate potential SES targets for anxiolytic impact, clinical trial efficacy, and safety.
Article
Full-text available
Background: Pregnancy is a physiological period that requires various adjustments to the changes that occur and can induce anxiety. Anxiety during pregnancy can be experienced from the first trimester to the third trimester. This anxiety can have negative impacts on both the mother and the fetus. This research aimed to determine the differences in the anxiety levels of pregnant women in the first, second, and third trimesters in the working area of the Gading Surabaya Health Center. Method: This is a quantitative research with an observational analytic method and a cross-sectional design. The study population consists of pregnant women in the first, second, and third trimesters in the working area of Gading Surabaya Health Center. The study involved 100 samples of pregnant women in the first, second, and third trimesters selected using the simple random sampling method. The instrument used is a questionnaire, namely the Perinatal Anxiety Screening Scale (PASS). The analysis method used is the Kruskal-Wallis test. Results: The statistical test results show a p-value (0.023) < α (0.05), indicating a significant difference in anxiety levels among pregnant women in the first, second, and third trimesters. Most pregnant women in the first trimester (56.7%) and second trimester (70.7%) did not experience anxiety symptoms, while pregnant women in the third trimester (51.7%) experienced mild to moderate anxiety. Conclusion: There is a significant difference in anxiety levels among pregnant women in the first, second, and third trimesters.
Chapter
This chapter investigates the utilization of medicinal plants as a promising avenue for addressing the complex spectrum of mental health disorders, including depression, anxiety, and insomnia. The profound impact of these conditions on human well-being has fueled extensive scientific and clinical interest, prompting a search for innovative therapeutic approaches. Medicinal plants in general provide an abundant supply of bioactive substances with potential pharmacological benefits. Through a narrative exploration of the intricate mechanisms underlying their healing actions, this chapter synthesizes current research findings and ethnopharmcological perspectives to elucidate the role of herbal interventions in ameliorating mental health symptoms. It highlights the necessity for rigorous investigation, including animal studies and randomized clinical investigations, to validate the efficacy of herbal remedies and mitigate challenges associated with generalizations. By advocating for a comprehensive understanding of plant-based interventions and their modulatory effects on neurobiological pathways, this chapter aims to catalyze further research endeavors and therapeutic innovations in harnessing the therapeutic potential of nature’s pharmacopeia for enhancing mental well-being on a global scale.
Article
Full-text available
Background: Nursing students often experience high anxiety and depression because of the demanding nursing curriculum. This mental strain can harm their academic performance. As a result, nurse educators need to assess how anxiety impacts nursing students’ academic achievements.Objectives: To evaluate and describe the knowledge of counsellors and nurse educators regarding the impact of anxiety-related conditions on nursing students’ academic excellence in selected nursing education institutions.Method: A qualitative descriptive phenomenological design was used to evaluate and describe the perceptions of counsellors and nurse educators about anxiety-related conditions on nursing students’ academic excellence. Participants were purposively selected, and semi-structured interviews were utilised to collect data. Four counsellors involved in psychosocial support of nursing students who participated in individual semi-structured interviews, and 20 nurse educators participated in focus group interviews, with 5 participants per group. Data were recorded and transcribed. Transcripts were analysed using Giorgi’s (2009) four data analysis steps.Results: Four themes emerged from data analysis: understanding of anxiety-related conditions, responses to anxiety-related conditions, influences of anxiety-related conditions and support of nursing students with anxiety-related conditions. The findings highlighted the significance of recognising the effects of mental health issues on nursing students.Conclusion: The study revealed the factors influencing nursing students’ responses to and the support provided for anxiety-related conditions affecting their academic performance.Contribution: The importance of prioritising mental health support for nursing students is to ensure they complete their qualifications on time.
Article
Full-text available
Corticotropin-releasing factor (CRF) is released in response to various stressors and regulates adrenocorticotropin secretion and glucocorticoid production. In addition to its endocrine functions, CRF acts as a neuromodulator in extra-hypothalamic systems and has been shown to play a role in behavioral responses to stress. CRF overproduction has been implicated in affective disorders such as depression and anorexia nervosa. A transgenic mouse model of CRF overproduction has been developed in order to examine the endocrine and behavioral effects of chronic CRF excess. CRF transgenic animals exhibit endocrine abnormalities involving the hypothalamic-pituitary-adrenal axis such as elevated plasma levels of ACTH and glucocorticoids. The present series of experiments tested the hypothesis that chronic overproduction of CRF throughout the life-span of these animals may lead to an anxiogenic behavioral state. CRF transgenic mice and normal littermate controls were tested by measuring locomotor activity in a novel environment and through the use of an elevated plus-maze as indices of anxiety. CRF transgenic animals exhibited an increase in anxiogenic behavior, an effect known to occur following central administration of CRF in mice and rats. Injection of the CRF antagonist alpha-helical CRF 9-41 into the lateral cerebral ventricles reversed the anxiogenic state observed in the CRF transgenics. This finding supports the possibility that central CRF overproduction may mediate the anxiogenic behavior exhibited in this animal model. Thus, CRF transgenic mice represent a genetic model of CRF overproduction that provides a valuable tool for investigating the long-term effects of CRF excess and dysregulation in the CNS.
Article
Full-text available
It was hypothesized that women are more vulnerable to depressive symptoms than men because they are more likely to experience chronic negative circumstances (or strain), to have a low sense of mastery, and to engage in ruminative coping. The hypotheses were tested in a 2-wave study of approximately 1,100 community-based adults who were 25 to 75 years old. Chronic strain, low mastery, and rumination were each more common in women than in men and mediated the gender difference in depressive symptoms. Rumination amplified the effects of mastery and, to some extent, chronic strain on depressive symptoms. In addition, chronic strain and rumination had reciprocal effects on each other over time, and low mastery also contributed to more rumination. Finally, depressive symptoms contributed to more rumination and less mastery over time.
Article
Full-text available
Objective: Chronic inflammation is associated with cardiovascular (CV) risk factors and psychiatric disorders. The neutrophil to lymphocyte ratio (NLR) has been investigated as a new biomarker for systemic inflammatory response. The aim of the study is to investigate the relation of NLR with severity of depression and CV risk factors. Methods: The study population consisted of 256 patients with depressive disorder. Patients were evaluated with the Hamilton Rating Scale for Depression (HAM-D). Patients were classified into four groups according to their HAM-D score such as mild, moderate, severe, and very severe depression. Patients were also evaluated in terms of CV risk factors. Results: Patients with higher HAM-D score had significantly higher NLR levels compared to patients with lower HAM-D score. Correlation analysis revealed that severity of depression was associated with NLR in depressive patients (r=0.333, p<0.001). Patients with one or more CV risk factors have significantly higher NLR levels. Correlation analysis revealed that CV risk factors were associated with NLR in depressive patients (r=0.132, p=0.034). In logistic regression analyses, NLR levels were an independent predictor of severe or very severe depression (odds ratio: 3.02, 95% confidence interval: 1.867-4.884, p<0.001). A NLR of 1.57 or higher predicted severe or very severe depression with a sensitivity of 61.4% and specificity of 61.2%. Conclusion: Higher HAM-D scores are associated with higher NLR levels in depressive patients. NLR more than 1.57 was an independent predictor of severe or very severe depression. A simple, cheap white blood cell count may give an idea about the severity of depression.
Article
Obsessive-compulsive disorder is relatively common; however, its actual incidence has only recently become clear. The neurotransmitter serotonin appears to have a central role in this disorder. Males and females are affected equally, with onset usually occurring in late adolescence. Symptoms include intrusive thoughts that lead the patient to perform repetitive rituals that interfere with daily living. Although patients are typically distressed by these thoughts and rituals, they seldom volunteer their symptoms. Successful diagnosis often requires specific questioning by the physician. Treatment is directed at symptom reduction; however, complete remission of symptoms is unusual. Pharmacologic therapy usually includes clomipramine or antidepressant treatment with selective serotonin reuptake inhibitors, but in dosage ranges higher than those typically used in the treatment of depression. Behavior therapy has also been proved effective, both alone and in conjunction with pharmacologic therapy.