Upload
others
View
7
Download
0
Embed Size (px)
Citation preview
The Gut-Brain Axis and Potential Roles of Probiotics in the Treatment
of Depression: “I’ve GUT a Feeling”
Pharmacotherapy Rounds
Bryan Sackey, PharmD, BCPS, AAHIVP
PGY2 Psychiatry Pharmacy Resident
South Texas Veterans Health Care System
The University of Texas at Austin College of Pharmacy
University of Texas Health Science Center San Antonio
April 7, 2017
Learning Objectives
1. Discuss the epidemiology, clinical features, diagnostic criteria, and pathophysiology of
depression
2. Identify conventional treatment options for patients with Major Depressive Disorder
3. Describe the physiological link between the gastrointestinal system and psychiatric
disorders, specifically depression
4. Evaluate the potential role of probiotics as a therapeutic option for depressive disorders in
concordance with literature evidence
2 | S a c k e y
Depression
I. Background1-3
a. Depression: a serious mood disorder characterized by a persistent feelings of sadness, loss of
interest (anhedonia), and other symptoms which are severe enough to interrupt daily activities
b. Though a treatable condition, depression remains a major public health concern
c. Various classifications of depression based on duration of symptoms, etiology, and severity
d. Major Depressive Disorder (MDD) is most severe form of
depression
II. Diagnosis and Clinical Presentation of MDD1-3
a. Based on Diagnostic and Statistical Manual of Mental
Disorders, Fifth Edition (DSM-5)
i. ≥5 of 9 symptoms present for 2 weeks
ii. At least one symptom has to be depressed mood or
anhedonia
iii. Must cause clinically significant distress or
impairment in important areas of functioning
iv. Not attributable to physiological effects of a
substance or other medical condition
b. Cannot be attributed to physiological effects of other
substance or medical condition
c. Not better explained by another psychiatric diagnosis
III. Epidemiology2-6
a. MDD affects ~15 million American adults (≥ 18 years) or about 8% of the U.S. population
b. 12-month prevalence: 5.3% - 6%
c. Lifetime prevalence: 13.25% - 16.2%
d. The World Health Organization estimates that depression will be the second highest medical
cause of disability by the year 2030, second only to HIV/AIDS
e. Accounts for 13.7 missed worked days per year
f. Total cost of depression in U.S. estimated to be $44 billion
i. $12 billion in direct costs of treatment
ii. $8 billion in premature death
iii. $24 billion in absenteeism and reduced productivity at work
g. Accounts for >60% of suicides in the U.S.
IV. Risk Factors/Etiological Factors5-7
a. Genetics Twin studies suggest a heritability of 40-50%
b. Life Stressors
c. Substances/Medications (appendix A)
d. Medical Conditions (appendix A)
e. Predisposing factors Female, middle-aged, widowed or separated/divorced, low income,
unemployment, comorbid psychiatric or personality disorders
Depressed mood Anhedonia
Appetite Changes
Diminished concentration
Sleep disturbances
Feelings of guilt or worthlessness
Fatigue or low energy
Psychomotor disturbances
Suicidal ideations
Figure 1. Symptoms of depression1
3 | S a c k e y
V. Screening and Assessment (Appendix C)3,10
a. Hamilton Depression Rating Scale (HAM-D)
b. Montgomery-Asberg Depression Rating Scale (MADRS)
c. Quick Inventory of Depressive Symptomatology (QIDS)
d. Patient Health Questionnaire-9 (PHQ-9)
e. Beck Depression Inventory (BDI)
f. Hospital Anxiety and Depression Scale (HADS)
g. Leiden Index of Depression Sensitivity-Revised (LEIDS-r)
•Depressive symptoms related to deficiencies in serotonin (5-HT), norepinephrine (NE), and dopamine (DA)
•Depressive symptoms improved with increased monomanine availability in synapse
•Does not account for delayed onset of effect on mood
Monamine Hypothesis
•Depression resulting from dysregulation of neurotransmitters which leads to alterations in both pre-and post- synaptic receptors
•Normalization of receptors in response to antidepressant therapy accounts for delayed onset of antidepressant activity
Dysregulation Hypothesis
•Stress effects on the hypothalamic-pituitary-adrenal axis secretion of glucocorticoids, cortisol and proinflammatory markers low brain-derived neurotrophic factor (BDNF) decrease neurogenesis in the hippocampus
•Antidepressants increase neuronal cell proliferation in hippocampus in animal models
Chronic Stress Model
Onset
•Average age is late 20s
•Sharp increase between ages 12-16 years; gradual increase with initial decline in early 40s
Duration
•Median time to recovery is 20 weeks with adequate treatment; untreated episodes can last ≥6 months
•Periods of remission generally longer early in the course and become shorter as illness progresses
Recurrence
•50% with single episode will recover without recurrence
•Three or more prior episodes: ≥90% recurrence
Suicide
•Increased risk of suicide especially if depression left untreated (20% lifetime risk)
•Risk of suicide becomes greater with each episode of depression
Figure 3. Clinical course of MDD3,8
Figure 2. Most common pathophysiological hypothesis for MDD1,3-9
4 | S a c k e y
VI. Conventional Treatment of MDD11-15
a. Non-pharmacologic Treatment
i. Psychotherapy
ii. Vagal Nerve Stimulation (VNS)
iii. Electroconvulsive Therapy (ECT)
iv. Bright Light Therapy
b. Pharmacologic Treatment (figure 4)
i. Goal of treatment – remission
ii. First line (table 2): SSRIs, SNRIs, bupropion, or
mirtazapine
Table 1. Important considerations of antidepressant (AD) therapy16-22
Treatment response definitions Time course of action Efficacy of medications
No response: ≤ 25% reduction in
baseline symptoms
Partial response: 26-49%
reduction in baseline symptoms
Full response: ≥ 50% reduction
in baseline symptoms
Remission: Return to normal
function
Relapse: Return of fully
symptomatic state after remission
~ 4-8 weeks to achieve full AD effects
a. First few days: ↓agitation,
improved sleep and appetite
b. 1-3 weeks: ↑activity, ↑self-care,
normalization of memory,
concentration, thinking, movement,
sleeping, eating
c. 2-4 weeks to 8 weeks: relief of
depressed mood, less hopelessness, ↓
thoughts of suicide
Overall efficacy ~50-60%
Effect size range from 0.34-0.41
More effective for severe symptoms
(NNT=4 for severe vs. 16 for mild)
Reduces with each unsuccessful
attempt to achieve remission
Risk of relapse ranges from 20-85%
without continuation of medications
Up to 46% of patients do not
experience sufficient response
Table 2. Evidenced based approach for the treatment of MDD (American Psychiatric Association 2010)12
First line* Second line Third line Treatment Resistance
Mild to moderate depression
Psychotherapy +/-
pharmacotherapy: SSRI, SNRI,
mirtazapine, bupropion
Moderate to severe depression
Pharmacotherapy +/- psychotherapy
Severe depression
ECT (in addition to therapy)
Depression w/ psychotic features
AD + antipsychotic or ECT
Switch to different
medication from list
above as monotherapy
Augment with an AD
with a different
mechanism
Augment with atypical
antipsychotic
Augment with
psychotherapy
Switch to medication
with a different
mechanism of action
Augment with an
AD with a different
mechanism or a
TCA
Augment with
lithium or
triiodothyronine
MAOI
ECT
Figure 5. Phases of MDD Treatment18
Figure 4. Class of antidepressant agents11
Selective Serotonin Reuptake Inhibitors
(SSRIs)
Serotonin Norepinephrine
Reuptake Inhibitors (SNRIs)
Tricyclic Antidepressants
(TCAs)
Monoamine Oxidase Inhibitors
(MAO-I)
Atypical Antidepressants
*See appendix B for classification of depression
5 | S a c k e y
GUT-BRAIN AXIS
I. Gut Microbiome23
a. The gut or gastrointestinal (GI) tract provides the largest physical interface between the
environment (including the microbiome) and self
b. Commensal microbiome
i. Abundance: 10xe14
(10:1); more than 10,000 unique species (genetic load 150:1)
ii. Mass: 2-6 lbs
iii. Intestinal microbiota and its metabolites shown to be involved in modulating GI
function, immune function and activity in the enteric nervous system
iv. The whole is greater than its parts functional role of the bacterial community is more
important than the specific components
v. Microbiome shifts over a lifetime and is affected by various factors including nutrition,
antibiotics, stress, perinatal period, infections, and GI related disorders
vi. More dramatic effects expected in children (and perhaps elderly) who have less diverse
microbiota and more vulnerable to external influences
II. Physiology of Gut-Brain Axis23-25
a. Complex nervous system interfaces directly
with central nervous system (CNS) and allows
bidirectional information flow between the
microbiota and brain
b. Close interaction suggests aspects of brain
development, function, mood, and cognition
may be influenced by GI contents
c. Communications with CNS:
i. Systemic Communication
1. Hypothalamus-Pituitary Axis
2. Neurotransmitters
3. Bacterial metabolites
4. Cytokines
ii. Neural Communications
1. Vagal nerve
2. Sympathetic nervous system
Table 3. Neurotransmitter production
and associated microorganism28
Neurotransmitter Microorganism
Norepinephrine Escherichia coli
Bacillus
Saccharomyces
GABA Lactobacillus
Bifidobacterium
Serotonin Candida
Streptococcus
Escherichia
Enterococcus
Dopamine Bacillus
Serratia
Limitations of
conventional
MDD Treatment
High rates of disease relapse
Delayed onset of action
Medication tolerability
Figure 6. Limitations of current MDD treatment9,20-22
Up to 67% relapse in those
who respond but not remit
Up to 4-6 weeks for full
antidepressant effects
Includes sexual dysfunction,
GI disturbances, weight gain
6 | S a c k e y
III. Gut Brain Axis influence on CNS function25
a. GI is only organ to contain independent nervous system often termed “Second Brain”
b. Intricate network of 100 million neurons embedded in gut wall
c. 95% of all serotonin in the body is in the gut
IV. Gut Microbiota and CNS Interactions26-29
a. Production of signaling neurotransmitters (NT) from metabolites of gut microbiota
i. NT includes norepinephrine (NE), serotonin (5-HT), GABA, and dopamine (DA)
ii. Indigenous bacteria produce metabolites that signal to colonic enterochromafin cells
(ECs) ECs increase tryptophan hydroxylase 1 (Tph1) expression and 5-HT synthesis
iii. Short chain fatty acid metabolites induce tryptophan production which can influence
circulating serotonin levels and subsequently mood
b. Studies to suggest conditions which alter gut microflora (i.e. C. difficile infection, chronic
antibiotic use, Irritable Bowel Syndrome) associated with mood disturbances
c. Preclinical models raise possibility that mood symptoms may be influenced by intestinal
microbiota
d. Prevention/treatment of psychiatric disease by manipulating gut microflora
Probiotics
I. Probiotics at a Glance30-32
a. World Health Organization’s (WHO) definition: live micro-organism that when ingested in
adequate amounts, confers a health benefit on the host
b. Broad heterogeneous group of microbial species
c. Lactic acid bacteria and non-pathogenic yeasts most commonly used
d. General mechanism provides environment conducive for growth of commensal microflora
(i.e. ↓ pH) and promote healthy microbiome
e. Sales of probiotic products have a rising trend from 2010 to 2014, increasing globally by 35%
from $23.1 billion to $31.3 billion
f. Food and Agricultural Organization (FAO)/WHO 2002 probiotic guidelines:
i. Probiotics have to be alive when administered
ii. Must be able to survive in intestinal ecosystem
iii. Must have undergone controlled tests documenting health benefits in target host
iv. Must be supplied in adequate amounts most reported benefits demonstrated after
ingestion of a concentration around 107 to 10
9 probiotic cells/gram, with a serving size
around 100 to 200 mg per day
g. Minimum safety requirements of probiotics (according to FAO/WHO 2002 guidelines)
i. Determination of antibiotic resistance patterns
ii. Assessment of certain metabolic activities (e.g., D-lactate production)
iii. Assessment of side effects during human studies
iv. Epidemiological surveillance of adverse incidents in consumers (after market)
v. Must be tested for toxin production and determination of hemolytic activity
II. Regulation30-32
a. Not manufactured using pharmaceutical standards or regulated by Food and Drug
Administration (FDA) claims of effectiveness have proliferated
7 | S a c k e y
b. FDA and WHO recommend product labeling to include minimum viable numbers of each
probiotic strain at the end of the shelf-life (however not enforced)
c. Very few “probiotic” preparations on the market today fulfil definition of a probiotic
III. Products30
a. Live probiotic cultures available in fermented dairy products and fortified foods
b. Freeze dried forms tablets, capsules, powders, and sachets
c. Microencapsulation techniques used to prevent destruction by acidic stomach conditions
IV. Safety33
a. Generally considered to be safe for consumption
b. Side effects mostly mild and digestive (i.e. gas, bloating)
c. Potential for allergic reactions mainly attributed to products used for probiotics
d. Severe side effects are rare and mostly seen in immunocompromised patients
i. Risk of fungemia and bacteremia in immunocompromised children and pregnancy
ii. Higher risk of severe ADEs observed in patients with central venous catheters,
cardiac valve disease, pancreatitis, short bowel syndrome and premature infants
V. Current proposed indications/health benefits34-36
VI. Psychobiotics37-46
a. Probiotics studied to manipulate gut microflora and improve psychiatric symptoms (figure 7)
b. Most commonly studied include various Lactobacillus species (i.e. helveticus, rhamnosus),
and Bifidobacterium species (i.e. longum)
c. Aizawa, et. al. demonstrated significantly lower quantities of bifidobacterium and
lactobacillus in MDD patients compared to controls
d. Preclinical studies demonstrate various probiotic species in improving mood symptoms in
mice (see appendix E)
e. Cross-sectional study suggested that those who consumed probiotics had a lower odds of
depression (OR=0.58, 95% CI=0.45-0.75); however not significant when adjusted for
patient characteristics (i.e. age, race, socioeconomic status)
Table 4. Proposed indications and
health benefits of probiotics35-36
Eczema
Antibiotic-associated diarrhea
Recurrent C. diff.
Bacterial Vaginosis
Hypertension
Immune function
GI-related infections
Irritable Bowel Syndrome (IBS)
Inflammatory Bowel Disease (IBD)
Lactose intolerance
Psy
cho
bio
tics
Promote neurotransmitter
production
Restore commensal microbiota
Attenuation of pro-inflammatory response
Clinical Question
Are probiotics a viable option as prevention, adjunct, or monotherapy treatment of depression?
Figure 7. Proposed mechanism of
psychobiotics in improving mood symptoms37
8 | S a c k e y
Literature Review
I. Meta-analysis conducted by Huang et al. (2016)47
a. Evaluated existing evidence on effect of probiotics-based interventions on depression
b. Included five randomized controlled trials (RCTs) from 2011 to 2015
c. Results showed probiotics significantly reduced depression scale score Mean Difference (MD
= -0.30, 95% CI [-0.51 to -0.09], p = 0.005) in the subjects (see appendix F)
Table 5. Characteristics of RCTs included for Huang et al. Meta-Analysis*
Study Subjects, Cases Dose; Duration Species, Dosage Depression scale
Mohammadi,
2015, Iran
20–60 years old
healthy
petrochemical
workers, 45
6 weeks Actobacillus casei 3 x103 CFU/g,
L. acidophilus 3 x107CFU/g,
L. rhamnosus 7 x109 CFU/g,
L. bulgaricus 5 x108 CFU/g,
B. breve 2x1010
CFU/g,
B. longum 1x109 CFU/g,
S. thermophilus 3 x108 CFU/g
Depression
Anxiety and
Stress Scale
(DASS)
Akkasheh,
2016, Iran
20–55 years old
patients with
MDD, 40
One capsule
per day; 8
weeks
L. acidophilus 2 x109 CFU/g,
L. casei 2x109 CFU/g,
B. bifidum 2x109 CFU/g
BDI
Steenbergen,
2015, The
Netherlands
Around 20 years
old; healthy young
adults, 40
One sachet per
day; 4 weeks
B. bifidum, B. lactis, L. acidophilus,
L. brevis, L. casei, L. salivarius,
Lactococcus lactis 2.5x109 CFU/g
BDI, LEIDS-r
Messaoudi,
2011, France
30–60 years old
healthy human
volunteers, 55
1.5 g/day; 30
days
L. helveticus, B. longum 3x109
CFU/g
HADS-D
Shinkai,
2013, Japan
Adults aged 65
years or older, 278
One capsule
per day, 20 wk
L. pentosus strain, low-dose =2 x109
CFU/g, high-dose =2x1010
CFU/g
Profile of Mood
States (POMS):
*See appendix F for forest plot of meta-analysis
II. Literature review of individual studies50-52
Table 6. Steenberg et al. A randomized controlled trial to test the effect of multispecies probiotics on
cognitive reactivity to sad mood. Brain, Behavior, and Immunity 2015;48:258-64.
Study Design Randomized, placebo-controlled, triple blind, pre-and post-intervention study (The Netherlands)
Objective To test if a multispecies probiotic may reduce cognitive reactivity in non-depressed patients
Participants Inclusion criteria
Non depressed male and female subjects
Exclusion criteria
Psychiatric or neurologic disorders, family
history of depression or migraines
Smokers
Reported cardiac, renal, or hepatic conditions
More than 3-5 alcoholic units/week
Methods/
Intervention Participants received a 4-week food supplementation intervention of either placebo or probiotics
Pre and post intervention assessments were provided to each participant
Compliance was facilitated by reminding participants via daily text message
Probiotic
intervention Bifidobacterium bifidum, B. lactis, Lactobacillus acidophilus, L. brevis, L. casei, L. salivarius,
and Lactococcus lactis (multispecies product known as Ecologic Barrier® with 2.5x10
9 CFU/g)
Each sachet contained 2g freeze dried powder of probiotic mixture to consume daily
9 | S a c k e y
Outcomes Primary: assess change in cognitive reactivity after 4 week probiotic therapy
o Measured by cognitive reactivity: LEIDS-r
Secondary: assess effect on depression and anxiety
o BDI, Beck Anxiety Inventory (BAI)
Statistical
analysis Mean scores of assessments evaluated using ANOVA with time (pre- vs. post-intervention) as
within-subjects factor and group (placebo vs. probiotics) as between subjects factor
Alpha set at 0.05
Results
Baseline characteristics
o 40 patients were included
o No significant group differences were observed for age and gender distribution
(p=0.45 and 0.43 respectively)
Table 1. Patient demographics
Placebo Probiotics
N (M:F) 20 (3:17) 20 (5:15)
Age (years) 19.7 (1.7) 20.2 (2.4)
Body Mass Index (SD) 21.5 (2.0) 22.6 (2.3)
Outcomes
o Significant time by group interactions for LEIDS-r total score (p=0.019) and
aggression (p=0.032) and rumination (p=0.001) subscale for probiotic group
o BDI total score and BAI revealed no main effect of time, group, nor time by group
interaction for both placebo and probiotic groups
Table 2. Assessment score outcomes
Pre-intervention Post-intervention P-value
LEIDS-r (SD) Placebo 44.70 (3.24) 42.30 (3.51) 0.63
Probiotics 42.75 (3.24) 33.35 (3.51) 0.01
BDI (SD) Placebo 9.10 (1.00) 9.10 (1.19) 0.31
Probiotics 7.90 (1.00) 7.25 (1.19) 0.52
BAI (SD) Placebo 12.21 (1.70) 11.21 (1.69) 0.64
Probiotics 11.35 (1.66) 9.95 (1.65) 0.14
-40%
-30%
-20%
-10%
0%
10%
20%
30%
Per
cen
t C
han
ge
in B
ase
lin
e S
core
s
Subscales
Placebo
Probiotics
* *
*
*Significant change from baseline (p<0.05)
Figure 1. LEIDS-r percent change in baseline subscale scores
Table 6 continued.
10 | S a c k e y
Author’s
Conclusion
4-week administration of probiotics significantly reduced overall cognitive reactivity to
depression and in particular aggressive and ruminative thoughts
Critique Strengths
RCT with triple blinding
Assessed effects of probiotics
on pre-depressive symptoms
Viability and stability testing
conducted on probiotic mixtures
Weakness
LEIDS-r is not a well validated tool
Dietary measures were not included
Compliance was not confirmed
Not generalizable to males
Multiple species used; unclear which may have effect
Small sample size
Short duration of study
Limited baseline characteristics and statistical analysis
Take home
points
Mixed probiotic species (containing lactobacillus and bifidobacterium species) may have a
preventative role in non-depressed patients by reducing cognitive reactivity (specifically
aggressive and ruminative thoughts); unclear effects on patients with a diagnosis of MDD
Table 7. Akkasheh G, et al. Clinical and metabolic response to probiotic administration in patients with
major depressive disorder. Nutrition 2016;32(3):315-20
Study Design Randomized, double-blind, placebo-controlled trial (Iran)
Objective To investigate whether probiotics improved mood, stress and anxiety in a patients with MDD and
assess whether inflammatory and metabolic biomarkers would predict or impact treatment
Participants Inclusion criteria
Diagnosis of MDD (per DSM-IV criteria, ≥
15 on HAM-D 17 item)
Exclusion criteria
Age <20y/o or >55y/o
History of coronary infarction or angina
pectoris
Pregnancy or lactation
Substance abuse
Taking dietary supplements or probiotic
supplements during previous 2 months
Methods/
Intervention Placebo vs. probiotic treatment for 8 weeks
Patients requested not to change routine physical activity, usual diet, or consume outside
supplementation products (dietary and physical activity records taken at weeks 2, 4, and 6)
Compliance to probiotic and placebo capsules monitored by asking participants to return the
medication containers at end of study
Probiotic
intervention Daily capsule containing Lactobacillus acidophilus (2x10
9 CFU/g), L. casei (2x10
9 CFU/g), and
Bifidobacterium bifidum (2x109 CFU/g)
Provided by Tak Gen Zist (Iranian pharmaceutical company) and approved by Iranian FDA
Outcomes
and
Measurement
Primary: assess change in mood as measured by BDI administered at baseline and end of study
Secondary: assess effect on metabolic and inflammatory components including:
o Fasting plasma glucose (FPG), homeostasis model of assessment in insulin resistance
(HOMA-IR), homeostasis model of assessment of β-cell function (HOMA-B), quantitative
insulin sensitivity check index (QUICKI), lipid concentrations, high-sensitivity C-reactive
protein (hs-CRP), total antioxidant capacity (TAC), and glutathione (GSH) levels
Statistical
analysis Power set at 80% (requiring 17 patients in each group); alpha set at 0.05
Intention-to-treat; missing values handled based on the last-observation-carried forward method
Independent sample t-test to detect differences in general characteristics and dietary intakes
One-way repeated measures analysis of variance was used to determine the effects of probiotic
administration on metabolic factors
Within-group comparisons (endpoint vs. baseline) were done using paired-samples t-test
Analysis of covariance was used to control for confounders
Table 6 continued.
11 | S a c k e y
Results Demographic characteristics
o 40 total patients evaluated (6 withdrew for personal reasons); compliance >90%
o Baseline and end of trial mean weight and BMI not significantly different in groups
o No significant differences in dietary intake between two groups
Table 1. General characteristics of study participants
Characteristics Placebo (n=20) Probiotics (n=20) P-value
N (M:F) 3:17 3:17 1.00
Age (y) 36.2 ± 8.2 38.3 ± 12.1 0.52
Baseline weight (kg) 68.7 ± 11.5 72.6 ± 11.3 0.21
End of trial weight (kg) 68.7 ± 10.5 72.5 ± 11.1 0.28
Weight change (kg) 0.7 ± 2.7 -0.1 ± 1.6 0.26
Baseline BMI (kg/m2) 26.3 ± 4.1 27.6 ± 6.0 0.42
End of trial BMI (kg/m2) 26.5 ± 3.9 27.5 ± 5.9 0.53
BMI change (kg/m2) 0.2 ± 1.0 -0.1 ± 0.6 0.23
Primary outcome (depression)
o Probiotic group had significantly decreased BDI total score compared to placebo
(-5.7 ±6.4 vs. -1.5 ± 4.8, p=0.001)
o BDI scores were not significantly different after controlling for confounders (p=0.05)
Secondary outcomes (metabolic)
o Those on probiotics had significant decrease in insulin resistance scores (HOMA-IR),
and hs-CRP, and increase GSH compared to placebo
o No significant change in FPG, cholesterol levels, TAC, and beta-cell function
(HOMA-B), and insulin sensitivity index (QUICKI)
Table 2. Adjusted changes in metabolic variables with MDD from baseline
Variables Placebo group Probiotic group P-value
BDI total score -1.8±1.2 -5.3±1.2 0.05
FPG (mg/dL) -1.5±1.7 -1.2±1.7 0.92
Insulin (μIU/mL) 2.5±1.6 -2.2±1.6 0.05
HOMA-IR 5.4±0.4 -0.6±0.4 0.04
HOMA-B 9.9±6.5 -7.2±6.6 0.08
QUICKI -0.001±0.005 0.007±0.005 0.17
Total Cholesterol (mg/dL) -2.8±4.6 -3.2±4.6 0.96
hs-CRP (ng/mL) 188.5±378.2 -1138.9±378.2 0.01
TAC (mmol/L) -21.1±22.9 -10.6±22.9 0.75
GSH (μmol/L) -101.6±33.2 -3.4±33.2 0.04
Author’s
Conclusion
Probiotic supplementation improved the BDI score, insulin function, and decreased oxidative
stress in patients with MDD
Critique Strengths
Double blind RCT
Power analysis
Assessed potential effects on
metabolic factors
Adjusted for confounders
Viability and stability testing
conducted on probiotics
Weakness
Did not characterize severity of depression at baseline
No information on current antidepressant treatment (i.e.
medications, psychotherapy)
Multiple species used; unclear which has direct benefit
May not be generalizable to males
Not generalizable to substance abuse patients
Small sample size; long term efficacy/safety not established
Take home
points Mixed probiotic species containing lactobacillus and bifidobacterium as adjunct to regular
therapy in MDD patients provide only modest reduction in depressive symptoms
Additional benefits on metabolic factors, inflammatory markers, and oxidative stress may
describe potential mechanistic pathway of probiotics in altering mood symptoms
Table 7 continued.
12 | S a c k e y
Table 8. Romijn A, et al. Lactobacillus helveticus and Bifidobacterium longum for the symptoms of
depression. Aust N Z J Psychiatry 2017 Jan 1:4867416686694.
Study Design Randomized, double-blind, placebo-controlled trial (Australian and New Zealand)
Objective To assess for potential favorable effects of probiotic monotherapy on symptoms of depression and
inflammatory markers in patients with MDD
Participants Inclusion criteria
Either ≥11 on the QIDS assessment or ≥14 on
the depression subscale of the Depression,
Anxiety and Stress Scale (DASS-42)
Age ≥16 at the time of screening
Free of any psychiatric medication for at least
4 weeks prior to trial
Exclusion criteria
Any neurological disorder, renal, hepatic,
cardiovascular or respiratory disease
Any serious medical condition with major
medical intervention anticipated in trial
Pregnancy or breastfeeding
Use of any supplement considered potentially
antidepressant (e.g. St John’s Wort, 5-HTP)
Serious risk of suicide or violence
Current or recent antibiotic use
Methods Placebo vs. probiotic treatment for 8 weeks
Patients were to avoid any probiotic supplements during trial
May continue psychotherapy if receiving for ≥6 months prior to trial
Compliance measured by post-study sachet counts
Probiotic Sachet containing freeze dried L. helveticus and B. longum (3x109 CFU per 1.5g)
Stability and viability testing conducted on probiotic species
Outcomes
and
Measurement
Primary
o MADRS and improved Clinical Global Impressions (iCGI) at baseline and week 8
o QIDS-SR16 score at baseline and every 2 weeks
Secondary
o Global Assessment of Functioning (GAF) at baseline and week 8
o DASS-42 at baseline and week 8
o Irritable Bowel Syndrome Symptom Severity Scale (IBS-SSS) at baseline and week 8
o Inflammatory biomarkers (hs-CRP, IL-1β, IL-6, TNF-α, BDNF)
o Vitamin D at baseline and week 8
Statistical
analysis Power was set at 80% (requiring 40 patients in each group); alpha set at 0.05
Baseline variables compared between treatment groups using t-tests, chi square analysis, and
Mann–Whitney U tests
Changes from baseline to the end of treatment compared using analysis of covariance
(ANCOVA), with the baseline level as the covariate
Changes in assessment scales (i.e. iCGI) using ANOVA
Primary analysis conducted with intent-to-treat approach
Secondary analyses through per protocol (requires ≥80% compliance)
13 | S a c k e y
Results Baseline characteristics
o 79 total patients evaluated (7 dropped from probiotic group; 3 dropped from placebo)
o Significantly higher self-report of antidepressant use in probiotic group (70%) vs.
placebo (46%) p < 0.05
o Probiotic group with significantly higher IBS-SSS at baseline than placebo (p < 0.05)
o No significant differences in other baseline characteristics including socioeconomic
status, education, ethnic origin, psychiatric history and baseline MADRS score
Table 1. Selected general characteristics of study participants
Characteristics Probiotic (n=40) Placebo (n=39)
Age, years, mean (SD) 35.8 (14) 35.1 (14.5)
Male, n (%) 8 (20) 9 (23)
Baseline MADRS score, mean (SD) 28.3 (6.1) 27.0 (6.3)
Chronic low mood, n (%)a,b 31(78) 24 (62)
Alcohol/substance misuse or dependence, n (%)b
Current
Past
4 (10)
6 (15)
1 (3)
8 (21)
Any co-occurring psychiatric disorder, n (%)b
Current
Past
23 (57)
24 (60)
18 (46)
21 (54)
History of antidepressant use, n (%)b 28 (70) 18 (46)*
aChronic depression defined as >2 years continuous symptoms of current episode of low mood bEstablished using self-report and retrospective chart review
*significant differences (p < 0.05)
Primary outcome (mood and psychological functioning)
o No significant group differences on any outcome measure with intent-to-treat analysis
(n=79) and per-protocol sample (n=69)
o After 8 weeks, 9 (23%) in probiotic group showed a ≥60% change on MADRS compared to
10 (26%) in placebo group (p = 0.62)
Secondary outcomes (inflammatory biomarkers)
o No significant group differences observed in change of any biomarkers over trial period
o Significant interaction between vitamin D and QIDS-SR16, iCGI, and GAF for probiotic
group only high vitamin D level = greater improvement in mood
Significant group differences in number of adverse events (sleep disturbance, dry mouth), with
both occurring in placebo group (p < 0.05); 3 suicide attempts by one patient in placebo group
Overall 97% compliance rate; similar rates observed between groups
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
MADRS iCGI QIDS-SR16 GAF DASS
Per
cen
t C
han
ge
from
Base
lin
e
Assessment Scale*
Probiotics
Placebo
*No significant differences observed
Figure 1. Percent change of assessment scores from baseline
Table 8 continued.
14 | S a c k e y
Conclusions
I. Summary1-9, 31, 47-52
a. Depressive disorders, specifically MDD, continue to be a cause of high morbidity in the U.S.
and limitations exist with conventional pharmacotherapy
b. Physiological link between GI and CNS allows for evaluation of probiotics in the
management of depressive disorders
i. Lactobacillus and bifidobacterium species most implicated
ii. Probiotics may have preventative role in depressive symptoms (specifically cognitive
reactivity) and as adjunct to conventional therapy in MDD, however limited role as
monotherapy in MDD patients
iii. Mechanism may involve metabolic and inflammatory pathways with influences by
vitamin D levels
c. Limitations to probiotic use
i. Regulation of products
ii. Identification of specific species and optimal combination
iii. Long term safety and efficacy in depression not evaluated
iv. Unclear of effects in elderly population
v. Paucity of data current studies not robust
II. Recommendations
a. Probiotics cannot be recommended as monotherapy for MDD patients at this time
b. May consider probiotics containing ≥2.5x109/g of lactobacillus and bifidobacterium species
in the following scenarios:
i. As adjunct with conventional pharmacotherapy in individuals with MDD who
experience inadequate response to an adequate trial of agent (see table 1 & figure 5)
1. May particularly consider in individuals with suspected dysbiosis due to
chronic conditions (i.e. IBS/IBD, chronic antibiotic use, diet)
2. Trial of probiotics should be at least 8 weeks
ii. If probiotics is indicated for a patient (i.e. chronic C. diff) then consider species
containing ≥2.5x109/g of lactobacillus and bifidobacterium in those who may be at-
risk for depression (i.e. family history)
Author’s
Conclusion
No evidence that the probiotic formulation is effective in treating low mood, or in moderating
the levels of inflammatory and other biomarkers
Critique Strengths
Double blind RCT
Power analysis
More comprehensive baseline characteristics
Included substance abuse patients
Evaluated baseline psychiatric status
Assessed safety
Viability and stability testing conducted
Weakness
Dietary intake and physical activity was not
accounted for
Recruited via self-referrals, MDD diagnosis
not confirmed at baseline
Long term efficacy/safety not established
Higher proportion of previous AD use in
probiotic group (↑ treatment resistance?)
Ethics? (multiple suicide attempt in a patient)
Take home
points Probiotics (specifically containing bifidobacterium and lactobacillus species) may not be
effective in improving mood as monotherapy for patients with MDD
Potential moderating effect of vitamin D on treatment response (↓ levels = ↓ response)
Table 8 continued.
15 | S a c k e y
References
1. Belmaker RH, Agman G. Major Depressive Disorder. N Engl J Med 2008;358:55-68
2. Kessler RC, Ormel J, Petukhova M, et al. Development of lifetime comorbidity in the World Health
Organization world mental health surveys. Arch Gen Psychiatry 2011;68:90.
3. Gutierrez CA, Chavez B, Ehret MJ et al. Depression: 2016-2017 BCPP Examination Review and
Recertification Course. Lincoln, NE: CPNP; 2016:654-80
4. Hasin DS, Goodwin RD, Stinson FS, et al. Epidemiology of major depressive disorder: results from the
National Epidemiologic Survey on Alcoholism and Related Conditions. Arch Gen Psychiatry
2005;62(10):1097-106.
5. Murray CJ, Atkinson C, Bhalla K, et al. The state of US health, 1990-2010: burden of diseases, injuries, and
risk factors. JAMA 2013; 310:591.
6. Teo AR, Choi H, Valenstein M. Social relationships and depression: ten-year follow-up from a nationally
representative study. PLoS One 2013; 8:e62396.
7. Sullivan PF, Neale MC, Kendler KS. Genetic epidemiology of major depression: review and meta-analysis.
Am J Psychiatry 2000; 157:1552.
8. American Psychiatric Association: Diagnostic and Statistical Manual of mental Disorders, Fifth Edition.
Arlington, VA: American Psychiatric Association, 2013.
9. Holma KM, Holma IA, Melartin TK, et al. Long-term outcome of major depressive disorder in psychiatric
patients is variable. J Clin Psychiatry 2008; 69:196.
10. Solis E, Antypa N, Conijn JM. Psychometric properties of the Leiden Index of Depression Sensitivity
(LEIDS). Psychol Assess. 2017 Feb;29(2):158-71.
11. Snow V, Lascher S, Mottur-Pilson C. Pharmacologic treatment of acute major depression and dysthymia.
American College of Physicians-American Society of Internal Medicine. Ann Intern Med 2000; 132:738.
12. American Psychiatric Association. Practice guideline for the treatment of patients with major depressive
disorder, 3rd
ed. Arlington, Virginia: American Psychiatric Association, 2010.
13. Pagnin D, de Queiroz V, Pini S, et al. Efficacy of ECT in depression: a meta-analytic review. J ECT 2004;
20:13.
14. Daban C, Martinez-Aran A, Cruz N, et al. Safety and Efficacy of vagus nerve stimulation in treatment-
resistant depression: systematic review. J Affect Disord 2008;110:1-15.
15. Golden RN, Gaynes B, Ekstrom RD, et al. The efficacy of light therapy in the treatment of mood disorders:
a review and meta-analysis of the evidence. Am J Psychiatry 2005;162(4):656-62.
16. Cuijpers P, Reynolds CF 3rd, Donker T, et al. Personalized treatment of adult depression: medication,
psychotherapy, or both? A systematic review. Depress Anxiety 2012; 29:855.
17. Phillips ML, Chase HW, Sheline YI, et al. Identifying predictors, moderators, and mediators of
antidepressant response in major depressive disorder: neuroimaging approaches. Am J Psychiatry 2015;
172:124.
18. Kupfer DJ. Long-term treatment of depression. J Clin Psychiatry 1991;52(suppl):28-34
19. Shelton RC, Osuntokun O, Heinloth AN, et al. Therapeutic options for treatment-resistant depression. CNS
Drugs 2010; 24:131.
20. Papakostas GI. Managing partial response or nonresponse: switching, augmentation, and combination
strategies for major depressive disorder. J Clin Psychiatry 2009; 70 Suppl 6:16.
21. Jakubovski E, Bloch MH. Prognostic subgroups for citalopram response in the STAR*D trial. J Clin
Psychiatry 2014; 75:738.
22. Gaynes BN, Warden D, Trivedi MH, et al. What did STAR*D teach us? Results from a large-scale,
practical, clinical trial for patients with depression. Psychiatr Serv. 2009;60(11):1439-45.
23. Romijn JA, Corssmit EP, Havekes LM, et al. Gut–brain axis. Curr Opin Clin Nutr Metab Care
2008;11(4):518-21.
24. De Vadder F, Kovatcheva-Datchary P, Goncalves D, et al. Microbiota-generated metabolites promote
metabolic benefits via gut-brain neural circuits. Cell 2014;156(1):84-96.
25. Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and
behaviour. Nat Rev Neurosci 2012;13(10):701-12.
26. Foster JA, Neufeld KA. Gut–brain axis: how the microbiome influences anxiety and depression. Trends
Neurosci 2013 May;36(5):305-12.
27. Mayer EA, Tillisch K, Gupta A. Gut/brain axis and the microbiota. The Journal of clinical investigation. J
Clin Invest 2015;125(3):926-38.
16 | S a c k e y
28. Evrensel A, Ceylan ME. The Gut-Brain Axis: The Missing Link in Depression. Clin Psychopharmacol
Neurosci 2015;13(3):239-44.
29. Vitetta L, Bambling M, Alford H. The gastrointestinal tract microbiome, probiotics, and mood.
Inflammopharmacology 2014;22(6):333-9.
30. Food and Agricultural Organization of the United Nations and World Health Organization. Joint FAO/WHO
working group report on drafting guidelines for the evaluation of probiotics in food. Food and Agricultural
Organization of the United Nations [online], (2002).
31. Hill C, Guarner F, Reid G, et al. Expert consensus document. The International Scientific Association for
Probiotics and Prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat
Rev Gastroenterol Hepatol 2014;11(8):506-14.
32. Guarner F, Khan AG, Garisch J, et al. World Gastroenterology Organisation Global Guidelines: probiotics
and prebiotic. J Clin Gastroenterol 2012;46(6):468-81.
33. Doron S, Snydman DR. Risk and Safety of Probiotics. Clin Infect Dis 2015;60 Suppl 2:S129-34.
34. Ritchie ML, Romanuk TN. A Meta-Analysis of Probiotic Efficacy for Gastrointestinal Diseases. Heimesaat
MM, ed. PLoS ONE 2012;7(4):e34938.
35. Lomax AR, Calder PC. Probiotics, immune function, infection and inflammation: a review of the evidence
from studies conducted in humans. Curr Pharm Des 2009;15(13):1428-518.
36. Rijkers GT, Bengmark S, Enck P. Guidance for substantiating the evidence for beneficial effects of
probiotics: current status and recommendations for future research. J Nutr 2010;140(3):671S-6S.
37. Dinan TG, Quigley EM. Probiotics in the treatment of depression: science or science fiction? Aust N Z J
Psychiatry 2011;45(12):1023-5.
38. Logan AC, Katzman M. Major depressive disorder: probiotics may be an adjuvant therapy. Med Hypotheses
2005;64(3):533-8.
39. Aizawa E, Tsuji H, Asahara T, et al. Possible association of Bifidobacterium and Lactobacillus in the gut
microbiota of patients with major depressive disorder. J Affect Disord 2016;202:254-7.
40. Desbonnet L, Garrett L, Clarke G, et al. Effects of the probiotic Bifidobacterium infantis in the maternal
separation model of depression. Neuroscience 2010;170(4):1179-88.
41. Messaoudi M, Violle N, Bisson JF, et al. Beneficial psychological effects of a probiotic formulation
(Lactobacillus helveticus R0052 and Bifidobacterium longum R0175) in healthy human volunteers. Gut
Microbes 2011;2:256-61.
42. Bravo JA, Forsythe P, Chew MV, et al. Ingestion of Lactobacillus strain regulates emotional behavior and
central GABA receptor expression in a mouse via the vagus nerve. Proc Natl Acad Sci 2011;108:16050-55
43. Ait-Belgnaoui A, Durand H, Cartier C, et al. Prevention of gut leakiness by a probiotic treatment leads to
attenuated HPA response to acute psychological stress in rats. Psychoneuroendocrinology 2012;37:1885-95.
44. Ohland CL, Kish L, Bell H, et al. Effects of Lactobacillus helveticus on murine behavior are dependent on
diet and genotype and correlate with alterations in the gut microbiome. Psychoneuroendocrinology
2013;38:1738-47.
45. Ait‐Belgnaoui A, Colom A, Braniste V, et al. Probiotic gut effect prevents the chronic psychological stress‐induced brain activity abnormality in mice. Neurogastroenterol & Motil 2014;26(4):510-20.
46. Cepeda MS, Katz EG, Blacketer C. Microbiome-Gut-Brain Axis: Probiotics and Their Association With
Depression. J Neuropsychiatry Clin Neurosci 2017;29(1):39-44.
47. Huang R, Wang K, Hu J. Effect of probiotics on depression: A systematic review and meta-analysis of
randomized controlled trials. Nutrients 2016;8(8):483.
48. Mohammadi AA, Jazayeri S, Khosravi-Darani K. et al. The effects of probiotics on mental health and
hypothalamic-pituitary-adrenal axis: A randomized, double-blind, placebo-controlled trial in petrochemical
workers. Nutr Neurosci 2016 Nov;19(9):387-395.
49. Shinkai S, Toba M, Saito T, et al. Immunoprotective effects of oral intake of heat-killed Lactobacillus
pentosus strain b240 in elderly adults: a randomised, double-blind, placebo-controlled trial. Br J Nutr
2013;109(10):1856-65.
50. Steenbergen L, Sellaro R, van Hemert S, et al. A randomized controlled trial to test the effect of multispecies
probiotics on cognitive reactivity to sad mood. Brain Behav Immun 2015;48:258-64.
51. Akkasheh G, Kashani-Poor Z, Tajabadi-Ebrahimi M, et al. Clinical and metabolic response to probiotic
administration in patients with major depressive disorder: A randomized, double-blind, placebo-controlled
trial. Nutrition 2016;32(3):315-20.
52. Romijn AR, Rucklidge JJ, Kuijer RG et al. A double-blind, randomized, placebo-controlled trial of
Lactobacillus helveticus and Bifidobacterium longum for the symptoms of depression. Aust N Z J Psychiatry
2017:4867416686694.
17 | S a c k e y
Appendices
Appendix A. Drug and disease induced depression3,5
Disease-Induced Depression Drug-Induced Depression
Hypothyroidism
Diabetes (2 folds ↑ odds)
Severe anemia
Parkinson’s Disease
HIV/AIDS
Alzheimer’s Disease
Multiple Sclerosis
Wernicke’s Encephalopathy
CHF
Chronic Pain
Interferons
Barbiturates
Opioids
Stimulant withdrawal (i.e. cocaine)
Reserpine
Clonidine
Efavirenz
Methyldopa
Varenicline
Steroids HIV/AIDS= Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome
CHF=Congestive Heart Failure
Appendix B. Classification and specifiers of MDD3,8
Classification/Current Status
A. Severity of episode a. Mild = 5-6 depressive symptoms and minimal functional impairment
b. Moderate = 7-8 depressive symptoms and moderate functional impairment
c. Severe = nearly all symptoms (≥7) with significant impairment in functioning
B. Presence of psychotic features a. Episode characterized by delusions or hallucinations (usually auditory)
b. Mood-congruent (during depressive moods) or mood-incongruent (no association with mood)
C. In remission a. Full remission = absence of significant symptomatology for ≥ 2 months
b. Partial remission = continued presence of some symptoms but still criteria not met or symptoms no longer
present but duration <2 months
D. Chronic a. Full criteria for major depressive episode met for ≥ 2 years
Descriptive Specifiers
I. With Anxious Distress present with symptoms of anxiety (i.e. tension, restlessness, etc.)
II. With Mixed Features at least 3 symptoms of mania for most days but does not meet criteria for bipolar
III. With Catatonic Features present with profound purposeless psychomotor changes and abnormal movements
IV. With Melancholic Features severe form characterized by lack of reactivity to pleasurable stimuli
V. With Atypical Features characterized by unique features such as mood reactivity, hypersomnia, ↑appetite
VI. With Peripartum Onset onset of symptoms occurs during pregnancy or within 4 wks after childbirth
VII. With Seasonal Pattern Recurrent MDD w/ mood episodes occurring repeatedly at specific times of the year
18 | S a c k e y
Appendix C. Depression rating scales3,8-10
Scale Name Assessment
Type
Description/Clinical Pearls Depression Severity Scoring
None/Minimal Mild Moderate Severe/Very Severe
Hamilton Depression
Rating, 17 item Scale
(HAM-D)
Clinician rated Commonly used in clinical trials to assess symptom
severity over past week (including somatic symptoms)
Gold standard for clinical research
0-7
8-13
14-19
20-25 (severe)
≥26(very severe)
Montgomery-Asberg
Depression Rating Scale
(MADRS)
Clinician rated Commonly used in clinical trials; less emphasis on somatic
symptoms than HAM-D
May be more sensitive to drug treatment than HAM-D
0-8
9-17
18-34
≥35
Quick Inventory of
Depressive
Symptomatology (QIDS)
Clinician
rated; self-
rated version:
(QIDS-SR)
Used in both clinical trials and clinical practice
Assesses 9 core DSM-5 depressive symptom domain
Results highly correlated with HAM-D
Most common is 16-item Self rated version (SR-16)
<6
6-10
11-15
16-20 (severe)
≥21 (very severe)
Patient Health
Questionnaire-9
(PHQ-9)
Self-rated Used in both clinical trials and clinical practice
Report of symptom frequency over past 2 weeks
Can be used as diagnostic tool for MDD
1-4
5-9
10-14
15-19 (mod. severe)
20-27 (Severe)
Beck Depression Inventory
(BDI)
Self-rated Used in both clinical trials and clinical practice
Patient symptoms and attitudes over past 2 weeks
0-9
10-18
19-29
30-63
Other rating scales
Scale Name Description/Clinical Pearls Scoring
Hospital Anxiety and
Depression Scale (HADS)
Clinician rated Used in clinical trials as measure of psychological distress
in non-psychiatric patient populations
Developed to distinguish mood symptoms (anxiety and
depression) from somatic symptoms
Not intended to diagnose depression or anxiety
Less validated than aforementioned rating scales
Total Scoring conducted for both anxiety & depression subscale
o 0-7 = Normal
o 8-10 = Borderline abnormal
o 11-21 = Abnormal Case
Leiden Index of
Depression Sensitivity-
Revised (LEIDS-r)
Self-rated Found to predict depression incidence in multiple
longitudinal studies and correlate with depression risk
factors (i.e. depression history, genetic markers, reaction to
tryptophan depletion)
Not intended to diagnosis or assess severity of depression
but rather predict development of clinical depression or
disease relapse (↑ scores = ↑ risk)
Relatively new scale and less validated
34 item with 6 subscales
5 point likert scale (max score of 24 for each scale)
Higher scores for each subscale indicate worse prognosis
o Aggression
o Control
o Hopelessness
o Risk Aversion
o Rumination
o Acceptance
19 | S a c k e y
Appendix D. Conventional antidepressant agents11,12
Agents Common ADEs Treatment Considerations
SSRIs: Increase synaptic 5HT through inhibition of serotonin transporter (SERT)
Fluoxetine
Citalopram
Escitalopram
Sertraline
Paroxetine
GI discomfort (esp. sertraline),
insomnia (esp. fluoxetine),
sexual dysfunction, weight
gain, platelet aggregation,
headache, SIADH
Little difference in efficacy between agents
Best balance of tolerability and efficacy amongst all ADs
May experience anxiety/agitation during initial therapy
Risk of withdrawal syndrome correlated with t1/2
Risk of QTc prolongation (highest with citalopram)
SNRIs: Increase synaptic 5HT and NE through inhibition of Norepinephrine (NET) and SERT
Duloxetine
Venlafaxine
Desvenlafaxine
Levomilnacipram
Similar to SSRIs, additionally:
increased sweating, more
cardiovascular concerns
NE activity provides analgesic properties
Monitor BP with dose escalation
Avoid duloxetine use in ESRD and liver disease
TCAs: Increase synaptic 5-HT and NE primarily through SERT and NET activity; additional α-adrenergic receptor blockade
Amitriptyline
Clomipramine
Desipramine
Doxepin
Imipramine
Anticholinergic ADEs (dry
mouth, constipation), sexual
dysfunction, sedation,
orthostatic hypotension,
cardiotoxicity, seizures
Evidence to suggest highest efficacy compared to other
antidepressants however poor tolerability
Mostly used for other indications (i.e. analgesia, insomnia, enuresis)
All contraindicated with a recent myocardial infarction
Risk of lethal overdose due to cardiotoxic effects
MAOIs: Irreversibly inhibit MAOs, allowing norepinephrine, serotonin, and dopamine to accumulate in the synaptic cleft
Isocarboxazid
Phenelzine
Selegiline
Tranylcypromine
Hypoglycemia, headache
dizziness, tremors, insomnia,
agitation, liver toxicity, GI
discomfort, seizures
Considered 3rd
or 4th
line due to tolerability concerns and interactions
Risk of hypertensive crisis with use of other sympathomimetic
amines (OTC decongestants, antidepressants, stimulants) and
tyramine containing foods (i.e. aged cheese, alcoholic beverages)
Aminoketone: Inhibits DA and NE reuptake & minimal effects on 5-HT
Bupropion GI disturbance, weight loss,
insomnia, headache, anxiety,
hypertension, dry mouth,
seizures (0.1-0.4%)
Contraindicated in patients with seizure disorders, history of
bulimia/anorexia
May improve sexual dysfunction
Decreases tobacco cravings
Beneficial in patients with concentration issues
Triazolopyridines: Weak SERT and NET inhibitors, weak α1 antagonism; 5-HT2A antagonism, partial agonism at 5-HT1A
Trazodone
Nefazodone
Orthostasis, nausea,
constipation, dry mouth,
blurred vision, headache
Trazodone mainly used at low doses (50-200mg) for insomnia and
sleep disturbances in patients with depression
Higher doses of trazodone (400-600mg) for sufficient AD activity
Nefazodone black box warning for life-threatening liver failure
Priapism rare but serious (particularly at higher doses)
Tetracyclics: Antagonize presynaptic increase NE and 5-HT; inhibits 5-HT2A, 5-HT3, and 5-HT2C; agonizes 5-HT1A
Mirtazapine Sedation, increased appetite,
weight gain, dry mouth
hypertriglyceridemia
Evidence to suggest AD activity observed only at doses ≥15mg
Little to no risk of sexual dysfunction
Weight and triglycerides monitoring at baseline & periodically
Serotonin modulators: SSRI with partial 5-HT1A agonism; vortioxetine also partial 5-HT1B agonist & antagonist at 5-HT3
Vilazodone
Vortioxetine
Similar to SSRIs, nausea and
diarrhea common (19-36%),
dry mouth
Lack of data suggesting superior efficacy over SSRIs
Vilazodone associated with more GI concerns (nausea, vomiting)
than vortioxetine
20 | S a c k e y
Appendix F: Forest Plot from Huang et. al Meta-Analysis on probiotics and depression47
Appendix E. Behavioral changes following probiotic treatment in pre-clinical studies40-45
Reference Model Used Behavioral Tests Conclusions
Desbonnet, et al.,
2010
Probiotic trial in mouse
model of maternal
separation (B. infantis)
compared to citalopram
Forced swim test B. infantis reversed behavioral deficits
caused by maternal separation,
normalization of immune response and
monoamine levels; outcomes similar to
citalopram
Messaoudi, et al.,
2011
Probiotic trial in rats and
humans (L. helveticus and
B. longum)
Rats: Conditioned defensive burying
test; Humans: Hopkins Symptom
Checklist; Hospital Anxiety and
Depression Scale; Perceived Stress
Scale; Coping
Probiotic combination of L. helveticus
and B. longum reduced anxiety-like
behavior in rats and had a beneficial
effect on signs of anxiety and depression
in humans
Bravo et al.,
2011
Probiotic trial in mice (L.
rhamnosus)
Stress-induced hyperthermia;
elevated plus maze; fear conditioning;
forced swim test; open field test
Administration of L. rhamnosus reduced
anxiety and depression-related behaviors
Ait-Belgnaoui,
et al.,2012
Probiotic treated in rat
model (L. farciminis)
Partial restraint stress test Probiotic treatment attenuated the HPA
response to acute stress
Ohland, et al.,
2013
Probiotic trial in mice on
standard chow or Western
diet (L. helveticus)
Barnes maze Efficacy of L. helveticus on the
reduction of stress and anxiety is
dependent on diet
Ait-Belgnaoui,
et al., 2014
Probiotic treated mouse
model (L. helveticus and
B. longum)
Water avoidance stress test Pretreatment with probiotics can reduce
chronic-stress induced abnormal brain
plasticity and reduce neurogenesis