Premenstrual Dysphoric Disorder: Epidemiology and Treatment

Laparoscopic sleeve gastrectomy for premenstrual syndrome symptoms in patients with obesity

BACKGROUND

Premenstrual syndrome (PMS) is a pathological condition characterized by a series of abnormal physical, psychological, and behavioral symptoms. We evaluated the effectiveness of laparoscopic sleeve gastrectomy (LSG) in the treatment of patients with obesity and PMS.

METHODS

In this case-control study, 131 patients with obesity (BMI ≥ 27.5 kg/cm2) diagnosed with moderate-to-severe PMS from March 2018 to March 2022 were prospectively selected to undergo LSG or not at their own discretion. Participants self-reported their PMS severity using the Premenstrual Syndrome Screening Tool. Among them, 68 patients chose LSG surgery, and 63 control group patients were followed up without surgery. Data were recorded at baseline and at 3 months post-treatment. We used a multivariate analysis to assess the improvement in PMS symptoms and associated factors.

RESULTS

Of the 131 patients with obesity and PMS, the improvement rate of PMS in the LSG group was 57.35% (n = 39), while the improvement rate of PMS in the control group was 25.40% (n = 16). Furthermore, our study revealed that surgery is an independent factor affecting the improvement of patients with PMS. Additionally, there was a correlation between alcohol use, T2DM and obesity-related metabolic diseases, and BMI with PMS. The changes in BMI, testosterone, and estradiol(E2) levels may also contribute to the improvement of patients with obesity and PMS.

CONCLUSION

LSG can improve the management of obesity in patients with PMS to some extent. Changes in BMI, testosterone, and E2 may be indicative of improvement in patients with obesity and PMS.

Beyond the serotonin deficit hypothesis: communicating a neuroplasticity framework of major depressive disorder

The serotonin deficit hypothesis explanation for major depressive disorder (MDD) has persisted among clinicians and the general public alike despite insufficient supporting evidence. To combat rising mental health crises and eroding public trust in science and medicine, researchers and clinicians must be able to communicate to patients and the public an updated framework of MDD: one that is (1) accessible to a general audience, (2) accurately integrates current evidence about the efficacy of conventional serotonergic antidepressants with broader and deeper understandings of pathophysiology and treatment, and (3) capable of accommodating new evidence. In this article, we summarize a framework for the pathophysiology and treatment of MDD that is informed by clinical and preclinical research in psychiatry and neuroscience. First, we discuss how MDD can be understood as inflexibility in cognitive and emotional brain circuits that involves a persistent negativity bias. Second, we discuss how effective treatments for MDD enhance mechanisms of neuroplasticity-including via serotonergic interventions-to restore synaptic, network, and behavioral function in ways that facilitate adaptive cognitive and emotional processing. These treatments include typical monoaminergic antidepressants, novel antidepressants like ketamine and psychedelics, and psychotherapy and neuromodulation techniques. At the end of the article, we discuss this framework from the perspective of effective science communication and provide useful language and metaphors for researchers, clinicians, and other professionals discussing MDD with a general or patient audience.

Determinants of premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University Southern, Ethiopia, 2023: institution-based cross-sectional study

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is a condition causing severe emotional, physical, and behavioral symptoms before menstruation. It greatly hinders daily activities, affecting academic and interpersonal relationships. Attention is not given to premenstrual disorders among female students in higher education. As a result, students are susceptible to stress, and their academic success is influenced by various factors, including their menstrual cycle, and the long-term outcomes and consequences are poorly researched. Even though PMDD has a significant negative impact on student's academic achievement and success limited research has been conducted in low- and middle-income countries including Ethiopia, especially in the study setting. Therefore, a study is needed to assess premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University.

METHODS

An institutional-based cross-sectional study was conducted among 374 regular undergraduate female students at Hawassa University, College of Medicine and Health Sciences. A self-administered structured premenstrual symptoms screening tool for adolescents was used to assess premenstrual dysphoric disorder. The collected data were loaded into a statistical package for the social science version 25 and analyzed using it. Both bivariate and multivariate logistic regression were used to identify factors associated with premenstrual dysphoric disorder. Each independent variable was entered separately into bivariate analysis, and a variable with a p-value less than 0.25 were included in the multivariate analysis to adjust the possible confounders. Statistically significant was declared at a 95% confidence interval when variable with a p-value less than 0.05 in the multivariate analysis with premenstrual dysphoric disorder.

RESULTS

The magnitude of premenstrual dysphoric disorder in this study was 62.6% (95% CI 57.4-67.5). Having severe premenstrual pain (AOR = 6.44;95%CI 1.02-40.73), having irregular menstrual cycle (AOR = 2.21; 95% CI 1.32-3.70), students who had poor social support (AOR = 5.10;95%CI, (2.76-12.92) and moderate social support (AOR = 4.93;95%CI (2.18-11.18), and students who used contraception (AOR = 3.76;95%CI, 2.21-6,40) were statistically significant factors with the outcome variable.

CONCLUSION

The prevalence of premenstrual dysphoric disorder was high as compared to other studies. There was a strong link between irregular menstrual cycle, severe menstrual pain (severe dysmenorrhea), poor social support, and contraception use with premenstrual dysphoric disorder. This needs early screening and intervention to prevent the complications and worsening of the symptoms that affect students' academic performance by the institution.

Premenstrual dysphoric disorder and associated factors among university graduating class female students in Ethiopia: A cross-sectional study

Objectives

Premenstrual dysphoric disorder is a somatopsychic condition that develops about a week before the start of menstruation and is brought on by fluctuating sex steroid levels that follow an ovulatory menstrual cycle. Therefore, this study aimed to assess the magnitude of premenstrual dysphoric disorder and associated factors among Haramaya University graduating class female students, in eastern Ethiopia.

Methods

An institutional-based cross-sectional study was conducted from 1 to 30 November 2022 among Haramaya University graduating class female students using a simple random sampling technique. The data were cleaned, coded, and entered into the Epi-data 3.01 before being exported and analyzed with Statistical Package of Social Science 20 versions. The premenstrual dysphoric disorder was assessed by the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. To identify associated factors a bivariable logistic regression analysis was conducted to determine the association between each independent variable and the outcome variable. The multivariable logistic regression model includes all variables with a p-value of less than 0.25 in the bivariate logistic regression analysis. The adjusted odds ratio with a 95% confidence interval was computed when the p-value was less than 0.05, which was considered statistically significant.

Results

Out of 282 samples, 274 study participants were involved providing a response rate of 97.2%. The prevalence of premenstrual dysphoric disorders was 64.6% (95% CI: 59.5-70.4). Participants with the irregular menstrual cycle (AOR = 2.24; 95% CI: 1.26-4.34), heavy menstrual flow (AOR = 2.53; 95% CI: 1.84-7.59), moderate menstrual flow (AOR = 2.29; 95% CI: 1.02-5.26), severe menstrual pain (AOR = 5.69; 95% CI: 1.86-7.42) and those who have depressive symptoms (AOR = 2.46, 95% CI: 1.08-5.68) were variables associated with premenstrual dysphoric disorders.

Conclusion

The prevalence of premenstrual dysphoric disorder was relatively high. Severe menstrual pain, menstrual irregularity, heavy menstrual flow, and a history of depression had significant associations with premenstrual dysphoric disorder. It will be better if higher institution administrators design and implement methods to screen and intervene premenstrual dysphoric disorder among female students.

Mortality Risk Among Women With Premenstrual Disorders in Sweden

Importance

Premenstrual disorders (PMDs) adversely affect the quality of life of millions of women worldwide, yet research on the long-term consequences of PMDs is limited, and the risk of mortality has not been explored.

Objective

To estimate the associations of PMDs with overall and cause-specific mortality.

Design, Setting, and Participants

This nationwide, population-based, matched cohort study used data from population and health registers in Sweden. Participants included women of reproductive age with a first diagnosis of PMDs between January 1, 2001, and December 31, 2018. Data analysis was performed from September 2022 to April 2023.

Exposures

PMDs were identified through inpatient and outpatient diagnoses and drug dispensing.

Main Outcomes and Measures

Dates of death and underlying causes were ascertained from the National Cause of Death Register. Conditional Cox regression was used to estimate the hazard ratios (HRs) of overall and cause-specific death (eg, death due to natural or nonnatural cause, suicide, or cardiovascular events), adjusting for age, socioeconomic status, and somatic and psychiatric comorbidities; in a separate sibling comparison, models were also adjusted for all factors that sisters share.

Results

A total of 67 748 women with clinically diagnosed PMDs and 338 740 matched unaffected women were included, for a total of 406 488 women. Women with PMDs received a diagnosis at a mean (SD) age of 35.8 (8.2) years. During a mean (SD) follow-up of 6.2 (4.6) years (range, 1-18 years), 367 deaths were observed among women with PMDs (rate, 8.4 deaths per 10 000 person-years; 95% CI, 7.6-9.3 deaths per 10 000 person-years), and 1958 deaths were observed among women without PMDs (rate, 9.1 deaths per 10 000 person-years; 95% CI, 8.7-9.6 deaths per 10 000 person-years). Compared with unaffected women, women with PMDs had increased risk of death due to nonnatural causes (HR, 1.59; 95% CI, 1.25-2.04), particularly suicide (HR, 1.92; 95% CI, 1.43-2.60), but they did not have increased risk of overall mortality (adjusted HR, 0.91; 95% CI, 0.82-1.02). Notably, women who received a diagnosis before the age of 25 years experienced higher all-cause mortality (HR, 2.51; 95% CI, 1.42-4.42) and death from both suicide (HR, 3.84; 95% CI, 1.18-12.45) and natural causes (HR, 2.59; 95% CI, 1.21-5.54).

Conclusions and Relevance

The findings of this matched cohort study suggest that women with PMDs are not at increased risk of early death overall. However, the risk was elevated among young women and for death by suicide. This supports the importance of careful follow-up for young patients and highlights the need to develop suicide prevention strategies for all women with PMDs.

Effect of nutritional interventions on the psychological symptoms of premenstrual syndrome in women of reproductive age: a systematic review of randomized controlled trials

CONTEXT

Premenstrual syndrome (PMS) affects approximately 48% of women of reproductive age worldwide. It can lead to functional impairment, lower quality of life, and decreased work productivity. Despite the availability of medical treatment options, women are seeking alternative interventions because of concerns of harmful side effects and limited evidence of efficacy associated with pharmacological treatments. To date, high-quality research investigating the effects of dietary and nutrient intervention on PMS is limited.

OBJECTIVE

This systematic review investigated the effect of nutritional interventions on the psychological symptoms of PMS.

DATA SOURCES

Five electronic databases were searched for randomized controlled trials (RCTs) published in English from inception to October 2022. Trials eligible for inclusion were nutritional intervention studies involving women of reproductive age that measured PMS-associated psychological outcomes.

DATA EXTRACTION

Articles were selected using prespecified inclusion criteria. Data screening and extraction and risk-of-bias assessments were conducted by 3 independent reviewers using article screening software and the Cochrane Risk of Bias 2 tool.

DATA ANALYSIS

Thirty-two articles reporting on 31 RCTs involving 3254 participants, ranging in age from 15 to 50 years were included and narratively reviewed. Only 1 of the included studies had a low risk of bias. Treatment with vitamin B6, calcium, and zinc consistently had significant positive effects on the psychological symptoms of PMS. There was insufficient evidence to support the effects of vitamin B1, vitamin D, whole-grain carbohydrates, soy isoflavones, dietary fatty acids, magnesium, multivitamin supplementation, or PMS-specific diets.

CONCLUSIONS

There is some evidence to support the use of nutritional interventions for improving psychological symptoms of PMS. However, more research using consistent protocols, procedures to minimize risk of bias, intention-to-treat analysis, and clearer reporting is required to provide conclusive nutritional recommendations for improving PMS-related psychological outcomes.

PROSPERO REGISTRATION NO

CRD42022369999.

[Premenstrual dysphoric disorder (PMDD): Drug and psychotherapeutique management, a literature review]

INTRODUCTION

Premenstrual Dysphoric Disorder (PMDD) was first recognised in July 2013 in the DSM-5 after a long journey to identify its existence. It was not until 1983 that the US National Institute of Mental Health determined research criteria for the study of PMS. In 1994, the term "premenstrual dysphoric disorder" (PMDD) replaced this term in the 4th edition of the Diagnostic System Manual (DSM). It was listed in the section "Mood Disorder Not Otherwise Specified" and remained under consideration until the DSM-5, in which it appeared in the depressive disorders section. The legitimisation of the psychiatric diagnosis as well as the determination of clear symptomatology criteria in 2013 opened up possibilities for management, development of clinical, pathophysiological, therapeutic and psychotherapeutic studies. This disabling disorder can affect personal, social, family and professional life. In 2019, the ICD-11 in turn introduced the diagnosis of premenstrual dysphoric disorder, which solidifies the recognition of the disorder.

OBJECTIVE

(I) to review the existing treatments, both medicinal and psychotherapeutic, and (II) to review their effectiveness. At the end of this work we will formulate recommendations for the management of these patients.

METHODOLOGY

A bibliographic search was carried out from 7 June 2021 to 7 July2021 on the databases (bases de données) Psychinfo APA, Scopus, PubMed, as well as the bases de données of the Cochrane organisation and the recommendation documents of the Haute Autorité de la santé. After an initial selection based on keywords, the full text of all articles were read to arrive at the final selection of 32 articles.

RESULTS

Antidepressants and Cognitive Behavioural Therapies (CBT) appear to be the most commonly recommended treatments for PMDD. Other research shows the effectiveness of oral contraceptives including drospirenone. Selective serotonin reuptake inhibitors (SSRIs) were identified as an effective treatment for PMDD. These data are consistent with the current etiological hypothesis of PMDD which has a negative impact of natural hormonal fluctuations on certain neurotransmitters. CBT showed positive results in reducing the functional impact of PMDD.

DISCUSSION

Selective serotonin reuptake inhibitor (SSRI) antidepressants were reported to be first-line treatments for PMDD (sertraline 50-150 mg/d, fluoxetine 10-20 mg/d, escitalopram 10-20 mg/d, paroxetine 12.5-25 mg/d). Drospirenone (EE 3 mg and EE 20 mg/d 24 days of hormonal pills, 4 days inactive) appears to have been a first or second line treatment depending on the articles. Current results clearly point to the effectiveness of CBT in helping to reduce: functional impairment, depressed mood, feelings of hopelessness, anxiety, mood swings, sensitivity, irritability, insomnia, conflict with others, impact of premenstrual symptoms on daily life, intensity of symptoms experienced, and symptom handicap. CBTs could also become a first-line treatment if there were to be more evidence of their effectiveness. In the future, it would seem useful to offer a psychotherapeutic treatment that can be reproduced and to multiply research with a high level of scientific comparability in order to clarify the place of CBT in the management of PMDD. Research on the etiopathology of the disorder and the optimal drug regimen is still ongoing. There is a need to develop appropriate psychotherapeutic techniques to support and accompany these patients.

CONCLUSION

In order to better evaluate treatments for PMDD, there is a need to homogenise studies on the subject at several levels: design, treatment doses, psychotherapeutic techniques, and evaluation measures. At present, some studies include both premenstrual syndrome (PMS) and PMDD patients. PMS and PMDD do not include the same symptoms, nor the same severity and potentially the same aetiology in the patients studied. In order to propose rigorous research that evaluates the effectiveness of treatments for PMDD and to properly support people with both these disorders, it seems essential to distinguish the two conditions. The role of the health practitioner is to be able to identify PMDD by differentiating it from other clinically related disorders. The patient must then be accompanied to make a choice of treatment adapted to her symptoms, their severity, her history, her plans for procreation, contraindications and her preferences. In 2021, the French National Authority for Health did not offer any guidelines or recommendations for the management of premenstrual dysphoric disorder. There is a need to develop research in France.

Blunted Cortisol Response to Acute Psychosocial Stress in Women With Premenstrual Dysphoric Disorder

BACKGROUND

Despite being considered a stress-related condition, it is not known whether the hypothalamic-pituitary-adrenal (HPA) axis is dysfunctional in response to acute psychosocial stress in premenstrual dysphoric disorder (PMDD). This is problematic because many women with PMDD report that they are not able to control their stress levels, and a blunted cortisol output has been identified in women with related psychiatric conditions, such as anxiety and depression. The present study is a part of the Premenstrual Hormonal and Affective State Evaluation (PHASE) project, and it aimed to characterize the cortisol trajectory in response to an acute psychosocial stress challenge.

METHODS

Women with PMDD and healthy controls with confirmed ovulatory cycles underwent the Trier Social Stress Test (TSST) procedure in the mid-late luteal phase of the menstrual cycle, throughout which we collected serum samples of cortisol that we analyzed using ultra-performance liquid chromatography tandem mass spectrometry.

RESULTS

The linear mixed model analysis indicated a significant time*diagnosis interaction (P = .008) such that women with PMDD displayed significantly lower serum cortisol levels at +40 through +90 minutes from the time of stress induction.

CONCLUSION

This is the first study to show that women with PMDD have a blunted cortisol response to psychosocial stress. Combined with our earlier finding showing a greater parasympathetic nervous system withdrawal on heart oscillations in PMDD during acute stress, these and other results show that the dysregulated processing of stress in PMDD may be captured using objective study measures.

Innovative Approaches to Menstruation and Fertility Tracking Using Wearable Reproductive Health Technology: Systematic Review

BACKGROUND

Emerging digital health technology has moved into the reproductive health market for female individuals. In the past, mobile health apps have been used to monitor the menstrual cycle using manual entry. New technological trends involve the use of wearable devices to track fertility by assessing physiological changes such as temperature, heart rate, and respiratory rate.

OBJECTIVE

The primary aims of this study are to review the types of wearables that have been developed and evaluated for menstrual cycle tracking and to examine whether they may detect changes in the menstrual cycle in female individuals. Another aim is to review whether these devices are effective for tracking various stages in the menstrual cycle including ovulation and menstruation. Finally, the secondary aim is to assess whether the studies have validated their findings by reporting accuracy and sensitivity.

METHODS

A review of PubMed or MEDLINE was undertaken to evaluate wearable devices for their effectiveness in predicting fertility and differentiating between the different stages of the menstrual cycle.

RESULTS

Fertility cycle-tracking wearables include devices that can be worn on the wrists, on the fingers, intravaginally, and inside the ear. Wearable devices hold promise for predicting different stages of the menstrual cycle including the fertile window and may be used by female individuals as part of their reproductive health. Most devices had high accuracy for detecting fertility and were able to differentiate between the luteal phase (early and late), fertile window, and menstruation by assessing changes in heart rate, heart rate variability, temperature, and respiratory rate.

CONCLUSIONS

More research is needed to evaluate consumer perspectives on reproductive technology for monitoring fertility, and ethical issues around the privacy of digital data need to be addressed. Additionally, there is also a need for more studies to validate and confirm this research, given its scarcity, especially in relation to changes in respiratory rate as a proxy for reproductive cycle staging.

The potential role of the orexin system in premenstrual syndrome

Premenstrual syndrome (PMS) occurs recurrently during the luteal phase of a woman's menstrual cycle and disappears after menstruation ends. It is characterized by abnormal changes in both the body and mood, and in certain cases, severe disruptions in daily life and even suicidal tendencies. Current drugs for treating PMS, such as selective serotonin reuptake inhibitors, do not yield satisfactory results. Orexin, a neuropeptide produced in the lateral hypothalamus, is garnering attention in the treatment of neurological disorders and is believed to modulate the symptoms of PMS. This paper reviews the advancements in research on sleep disturbances, mood changes, and cognitive impairment caused by PMS, and suggests potential pathways for orexin to address these symptoms. Furthermore, it delves into the role of orexin in the molecular mechanisms underlying PMS. Orexin regulates steroid hormones, and the cyclic fluctuations of estrogen and progesterone play a crucial role in the pathogenesis of PMS. Additionally, orexin also modulates the gamma-aminobutyric acid (GABA) system and the inflammatory response involved in coordinating the mechanism of PMS. Unraveling the role of orexin in the pathogenesis of PMS will not only aid in understanding the etiology of PMS but also hold implications for orexin as a novel target for treating PMS.

Electroencephalography findings in menstrually-related mood disorders: A critical review

The female reproductive years are characterized by fluctuations in ovarian hormones across the menstrual cycle, which have the potential to modulate neurophysiological and behavioral dynamics. Menstrually-related mood disorders (MRMDs) comprise cognitive-affective or somatic symptoms that are thought to be triggered by the rapid fluctuations in ovarian hormones in the luteal phase of the menstrual cycle. MRMDs include premenstrual syndrome (PMS), premenstrual dysphoric disorder (PMDD), and premenstrual exacerbation (PME) of other psychiatric disorders. Electroencephalography (EEG) non-invasively records in vivo synchronous activity from populations of neurons with high temporal resolution. The present overview sought to systematically review the current state of task-related and resting-state EEG investigations on MRMDs. Preliminary evidence indicates lower alpha asymmetry at rest being associated with MRMDs, while one study points to the effect being luteal-phase specific. Moreover, higher luteal spontaneous frontal brain activity (slow/fast wave ratio as measured by the delta/beta power ratio) has been observed in persons with MRMDs, while sleep architecture results point to potential circadian rhythm disturbances. In this review, we discuss the quality of study designs as well as future perspectives and challenges of supplementing the diagnostic and scientific toolbox for MRMDs with EEG.

Premenstrual disorders and PMDD - a review

Defining, diagnosing and managing premenstrual disorders (PMDs) remains a challenge both for general practitioners and specialists. Yet these disorders are common and can have an enormous impact on women. PMDD (premenstrual dysphoric disorder), one severe form of PMD, has a functional impact similar to major depression yet remains under-recognised and poorly treated. The aim of this chapter is to give some clarity to this area, provide a framework for non-specialists to work towards, and to stress the importance of MDT care for severe PMDs, including PMDD.

Late Luteal Subphase Food Craving Is Enhanced in Women with Obesity and Premenstrual Dysphoric Disorder (PMDD)

Dysregulated food craving is a complex weight-related behavior. To identify novel targets for enhancing the efficacy of weight loss interventions, we examined whether food craving varies across the menstrual cycle according to the abdominal obesity type and premenstrual dysphoric disorder (PMDD) diagnosis, and, if so, whether it is related to affective symptomatology. Reproductive-age women were classified into one of the four study groups according to whether they have abdominal obesity (AO) or are abdominally lean (AL), and the presence of PMDD: (1) AO:PMDD+ (n = 13), (2) AL:PMDD+ (n = 14), (3) AO:PMDD- (n = 15), and (4) AL:PMDD- (n = 16). Self-report measures as well as urinary luteinizing hormone (LH) tests were provided by the participants across 2-3 menstrual cycles. The ratings of food cravings were similar across the menstrual cycle, except the last, late luteal subphase as the AO:PMDD+ participants had the highest food craving rating. Irritability and depression were correlated with food cravings, but not in a distinctive manner across the menstrual cycle by group. Our study found that women with abdominal obesity and PMDD display a temporal vulnerability to a food-related behavior. The possibility of shared neurobiology between the two conditions is discussed and should be examined in future studies.

Management of Premenstrual Disorders: ACOG Clinical Practice Guideline No. 7

PURPOSE

To provide recommendations for the management of premenstrual syndrome and premenstrual dysphoric disorder, collectively referred to as premenstrual disorders, based on assessment of the evidence regarding the safety and efficacy of available treatment options. An overview of the epidemiology, pathophysiology, and diagnosis of premenstrual disorders also is included to provide readers with relevant background information and context for the clinical recommendations.

TARGET POPULATION

Reproductive-aged adults and adolescents with premenstrual symptoms.

METHODS

This guideline was developed using an a priori protocol in conjunction with a writing team consisting of two specialists in obstetrics and gynecology appointed by the ACOG Committee on Clinical Practice Guidelines-Gynecology and one external subject matter expert. ACOG medical librarians completed a comprehensive literature search for primary literature within Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, EMBASE, PubMed, and MEDLINE. Studies that moved forward to the full-text screening stage were assessed by two authors from the writing team based on standardized inclusion and exclusion criteria. Included studies underwent quality assessment, and a modified GRADE (Grading of Recommendations Assessment, Development and Evaluations) evidence-to-decision framework was applied to interpret and translate the evidence into recommendation statements.

RECOMMENDATIONS

This Clinical Practice Guideline includes recommendations on the following evidence-based treatment options for premenstrual disorders, with an acknowledgement that many patients may benefit from a multimodal approach that combines several interventions: pharmacologic agents (hormonal and nonhormonal), psychological counseling, complementary and alternative treatments, exercise and nutritional therapies, patient education and self-help strategies, and surgical management. Recommendations are classified by strength and evidence quality. Ungraded Good Practice Points are included to provide guidance when a formal recommendation could not be made because of inadequate or nonexistent evidence. Based on review of extrapolated data from adult populations and expert consensus, it was determined that the recommendations also apply to adolescents, with a few exceptions that are noted in the Clinical Practice Guideline.

Methodological approach for an integrated female-specific study of anxiety and smoking comorbidity

Two primary ovarian hormones that fluctuate across the female menstrual cycle-estradiol and progesterone-have been independently linked in separate literatures to nicotine reinforcement and anxiety psychopathology. We identify existing methodological limitations in these literatures, describe an example protocol that was developed to address such limitations, highlight case examples, and offer insights on the resulting advantages and challenges. This protocol was an observational, prospective, within-subjects study of female cigarette smokers who were followed over the course of a complete menstrual cycle. Non-treatment seeking, female cigarette smokers (N = 50), between the ages of 18-40 who have a normal menstrual cycle (25-35 days in length) were recruited from the community. Females with anxiety or mood psychopathology represented 38.0% of the sample. Salivary progesterone and estradiol were assessed each morning via at-home saliva collection methods. Self-reported within-day momentary ratings of anxiety and nicotine reinforcement were collected using ecological momentary assessment (EMA) via a mobile app. Protocol compliance was >85%. Within- and between-subjects heterogeneity was observed in the progesterone and estradiol, anxiety, and nicotine craving measures, especially in the context of anxiety psychopathology. We aimed to integrate the anxiety and nicotine dependence literatures and advance the empirical study of the role of ovarian hormones. This protocol reflects an intensive, yet feasible approach to collecting daily-level naturalistic data related to estradiol, progesterone, anxiety, and nicotine reinforcement.

Depression and anxiety mediate the relationship between the retrospectively measured symptoms of premenstrual disorders and negative but not positive psychotic-like experiences

The aim of this study was to examine the relationship between retrospectively measured premenstrual symptoms and subclinical forms of positive and negative psychotic symptoms (psychotic-like experiences; PLEs). It was hypothesised that subjective intensity of the symptoms of premenstrual disorders predicts PLEs frequency and that this relationship is mediated by anxiety and depression. The study sample comprised 108 non-clinical subjects. Study variables were assessed with self-report questionnaires: the Premenstrual Symptoms Screening Tool (PSST); the Beck Depression Inventory Second Edition (BDI-II); the State-Trait Anxiety Inventory (STAI; trait sub-scale); the Community Assessment of Psychic Experiences (CAPE). Regression and mediation analyses were performed. The PSST scores were significantly and positively associated with psychotic-like experiences frequency. The relation was stronger for positive PLEs. Anxiety and depression partially mediated the relationship between premenstrual symptoms and negative PLEs, but not between premenstrual symptoms and positive PLEs. Although the design of the study does not allow to infer causality, it demonstrates strong, positive relationship between the symptoms of premenstrual disorders and psychotic-like experiences. The relationship between premenstrual disorders and negative PLEs seems to be partially based on a general psychopathological factor. Further longitudinal studies are needed to test whether premenstrual disturbances increase risk of psychotic symptoms.

[Efficient assessment of premenstrual symptoms - German translation of the shortened Premenstrual Assessment Form and its psychometric evaluation]

Premenstrual symptomatology is a widespread and yet under-researched problem. To date, there is no German instrument for assessing the broad spectrum of possible symptoms and their degree of expression. For this reason, the short versions of the Premenstrual Assessment Form with 20 and 10 items were translated and validated in a sample of N=147 menstruating persons. The internal consistencies of the 20-item and 10-item versions are high (Cronbach's αPAF20=0.93 and αPAF10=0.88, respectively) and comparable to the original versions. Factor analysis identified two scales that assess psychological and physiological symptoms. Convergent validity was demonstrated by a correlation with the PMS Impact Questionnaire (rPAF20=0.66, p<.001). This association was significantly higher (z=2.67, p=0.004) than the correlation with the Brief Symptom Inventory-18 (rPAF20=0.50, p<0.001), which verifies divergent validity. Additionally, cut-off values for suspected diagnoses based on DSM-V diagnostic criteria for both short forms were calculated. The translated Premenstrual Assessment Form is a valid, reliable, and parsimonious instrument that can be used flexibly. It is suitable for quantifying premenstrual symptomatology in research.

Limbic self-neuromodulation as a novel treatment option for emotional dysregulation in premenstrual dysphoric disorder (PMDD); a proof-of-concept study

AIM

To assess the efficacy of a novel neurofeedback (NF) method, targeting limbic activity, to treat emotional dysregulation related to premenstrual dysphoric disorder (PMDD).

METHODS

We applied a NF probe targeting limbic activity using a functional magnetic resonance imaging-inspired electroencephalogram model (termed Amyg-EFP-NF) in a double-blind randomized controlled trial. A frontal alpha asymmetry probe (AAS-NF), served as active control. Twenty-seven participants diagnosed with PMDD (mean age = 33.57 years, SD = 5.67) were randomly assigned to Amyg-EFP-NF or AAS-NF interventions with a 2:1 ratio, respectively. The treatment protocol consisted of 11 NF sessions through three menstrual cycles, and a follow-up assessment 3 months thereafter. The primary outcome measure was improvement in the Revised Observer Version of the Premenstrual Tension Syndrome Rating Scale (PMTS-OR).

RESULTS

A significant group by time effect was observed for the core symptom subscale of the PMTS-OR, with significant improvement observed at follow-up for the Amyg-EFP group compared with the AAS group [F(1, 15)=4.968, P = 0.042]. This finding was specifically robust for reduction in anger [F(1, 15) = 22.254, P < 0.001]. A significant correlation was found between learning scores and overall improvement in core symptoms (r = 0.514, P = 0.042) suggesting an association between mechanism of change and clinical improvement.

CONCLUSION

Our preliminary findings suggest that Amyg-EFP-NF may serve as an affordable and accessible non-invasive treatment option for emotional dysregulation in women suffering from PMDD. Our main limitations were the relatively small number of participants and the lack of a sham-NF placebo arm.

Aberrant Intrinsic Brain Network Functional Connectivity During a Face-Matching Task in Women Diagnosed With Premenstrual Dysphoric Disorder

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is characterized by affective, cognitive, and physical symptoms, suggesting alterations at the brain network level. Women with PMDD demonstrate aberrant discrimination of facial emotions during the luteal phase of the menstrual cycle and altered reactivity to emotional stimuli. However, previous studies assessing emotional task-related brain reactivity using region-of-interest or whole-brain analysis have reported conflicting findings. Therefore, we utilized both region-of-interest task-reactivity and seed-voxel functional connectivity (FC) approaches to test for differences in the default mode network, salience network, and central executive network between women with PMDD and control participants during an emotional-processing task that yields an optimal setup for investigating brain network changes in PMDD.

METHODS

Twenty-four women with PMDD and 27 control participants were classified according to the Daily Record of Severity of Problems. Participants underwent functional magnetic resonance imaging scans while completing the emotional face-matching task during the midfollicular and late-luteal phases of their menstrual cycle.

RESULTS

No significant between-group differences in brain reactivity were found using region-of-interest analysis. In the FC analysis, a main effect of diagnosis was found showing decreased default mode network connectivity, increased salience network connectivity, and decreased central executive network connectivity in women with PMDD compared with control participants. A significant interaction between menstrual cycle phase and diagnosis was found in the central executive network for right posterior parietal cortex and left inferior lateral occipital cortex connectivity. A post hoc analysis revealed stronger FC during the midfollicular than the late-luteal phase of PMDD.

CONCLUSIONS

Aberrant FC in the 3 brain networks involved in PMDD may indicate vulnerability to experience affective and cognitive symptoms of the disorder.

Effects of cognitive emotion regulation strategies on mood and cortisol in daily life in women with premenstrual dysphoric disorder

BACKGROUND

The psychological risk factors of premenstrual dysphoric disorder (PMDD) are not fully understood, but initial evidence points to a potential role of unfavorable cognitive emotion regulation (ER-) strategies. Given the symptom cyclicity of PMDD, ambulatory assessment is ideally suited to capture psychological and physiological processes across the menstrual cycle. Our study examines habitual ER-strategies in women with PMDD and their predictive value for the course of mood and basal cortisol across the cycle in affected women.

METHODS

Women with and without PMDD (n = 61 each) were compared regarding habitual mindfulness, reappraisal, and repetitive negative thinking (RNT). Momentary affect and cortisol output were assessed over two consecutive days per cycle phase (menstrual, follicular, ovulatory, late luteal).

RESULTS

Women with PMDD reported lower mindfulness, less use of reappraisal and stronger RNT than controls (ps < 0.035). In women with PMDD, higher mindfulness and reappraisal and lower RNT predicted decreased negative and increased positive affect across the menstrual cycle (ps < 0.027). However, women using more favorable ER-strategies displayed stronger mood cyclicity, resulting in stronger mood deterioration in the late luteal phase, thereby resembling women with more unfavorable ER-strategies toward the end of the cycle. Lower mindfulness predicted lower cortisol in the menstrual phase.

CONCLUSIONS

Protective ER-strategies seem to be generally linked to better momentary mood in women with PMDD, but do not appear to protect affected women from premenstrual mood deterioration. Habitual mindfulness, in turn, seems to buffer blunted cortisol activity in women with PMDD, especially in the menstrual phase.

GABA-ergic Modulators: New Therapeutic Approaches to Premenstrual Dysphoric Disorder

Premenstrual dysphoric disorder (PMDD) is characterized by the predictable onset of mood and physical symptoms secondary to gonadal steroid fluctuation during the luteal phase of the menstrual cycle. Although menstrual-related affective dysfunction is responsible for considerable functional impairment and reduction in quality of life worldwide, currently approved treatments for PMDD are suboptimal in their effectiveness. Research over the past two decades has suggested that the interaction between allopregnanolone, a neurosteroid derivative of progesterone, and the gamma-aminobutyric acid (GABA) system represents an important relationship underlying symptom genesis in reproductive-related mood disorders, including PMDD. The objective of this narrative review is to discuss the plausible link between changes in GABAergic transmission secondary to the fluctuation of allopregnanolone during the luteal phase and mood impairment in susceptible individuals. As part of this discussion, we explore promising findings from early clinical trials of several compounds that stabilize allopregnanolone signaling during the luteal phase, including dutasteride, a 5-alpha reductase inhibitor; isoallopregnanolone, a GABA-A modulating steroid antagonist; and ulipristal acetate, a selective progesterone receptor modulator. We then reflect on the implications of these therapeutic advances, including how they may promote our knowledge of affective regulation more generally. We conclude that these and other studies of PMDD may yield critical insight into the etiopathogenesis of affective disorders, considering that (1) symptoms in PMDD have a predictable onset and offset, allowing for examination of affective state kinetics, and (2) GABAergic interventions in PMDD can be used to better understand the relationship between mood states, network regulation, and the balance between excitatory and inhibitory signaling in the brain.

Understanding the mechanism of action and clinical effects of neuroactive steroids and GABAergic compounds in major depressive disorder

The pathophysiology of major depressive disorder (MDD) is thought to result from impaired connectivity between key brain networks. Gamma-aminobutyric acid (GABA) is the key inhibitory neurotransmitter in the brain, working primarily via GABA_A receptors, with an important role in virtually all physiologic functions in the brain. Some neuroactive steroids (NASs) are positive allosteric modulators (PAMs) of GABA_A receptors and potentiate phasic and tonic inhibitory responses via activation of synaptic and extrasynaptic GABA_A receptors, respectively. This review first discusses preclinical and clinical data that support the association of depression with diverse defects in the GABAergic system of neurotransmission. Decreased levels of GABA and NASs have been observed in adults with depression compared with healthy controls, while treatment with antidepressants normalized the altered levels of GABA and NASs. Second, as there has been intense interest in treatment approaches for depression that target dysregulated GABAergic neurotransmission, we discuss NASs approved or currently in clinical development for the treatment of depression. Brexanolone, an intravenous NAS and a GABA_A receptor PAM, is approved by the U.S. Food and Drug Administration for the treatment of postpartum depression (PPD) in patients 15 years and older. Other NASs include zuranolone, an investigational oral GABA_A receptor PAM, and PH10, which acts on nasal chemosensory receptors; clinical data to date have shown improvement in depressive symptoms with these investigational NASs in adults with MDD or PPD. Finally, the review discusses how NAS GABA_A receptor PAMs may potentially address the unmet need for novel and effective treatments with rapid and sustained antidepressant effects in patients with MDD.

Population-based cohort study of oral contraceptive use and risk of depression

AIM

Research on the effect of oral contraceptive (OC) use on the risk of depression shows inconsistent findings, especially in adult OC users. One possible reason for this inconsistency is the omission of women who discontinue OCs due to adverse mood effects, leading to healthy user bias. To address this issue, we aim to estimate the risk of depression that is associated with the initiation of OCs as well as the effect of OC use on lifetime risk of depression.

METHODS

This is a population-based cohort study based on data from 264,557 women from the UK Biobank. Incidence of depression was addressed via interviews, inpatient hospital or primary care data. The hazard ratio (HR) between OC use and incident depression was estimated by multivariable Cox regression with OC use as a time-varying exposure. To validate causality, we examined familial confounding in 7,354 sibling pairs.

RESULTS

We observed that the first 2 years of OC use were associated with a higher rate of depression compared to never users (HR = 1.71, 95% confidence interval [CI]: 1.55-1.88). Although the risk was not as pronounced beyond the first 2 years, ever OC use was still associated with an increased lifetime risk of depression (HR = 1.05, 95% CI: 1.01-1.09). Previous OC use were associated with a higher rate of depression compared to never users, with adolescent OC users driving the increased hazard (HR = 1.18, 95% CI: 1.12-1.25). No significant association were observed among adult OC users who had previously used OCs (HR = 1.00, 95% CI: 0.95-1.04). Notably, the sibling analysis provided further evidence for a causal effect of OC use on the risk of depression.

CONCLUSIONS

Our findings suggest that the use of OCs, particularly during the first 2 years, increases the risk of depression. Additionally, OC use during adolescence might increase the risk of depression later in life. Our results are consistent with a causal relationship between OC use and depression, as supported by the sibling analysis. This study highlights the importance of considering the healthy user bias as well as family-level confounding in studies of OC use and mental health outcomes. Physicians and patients should be aware of this potential risk when considering OCs, and individualized risk-benefit assessments should be conducted.

The effect of peer education compared to education provided by healthcare providers on premenstrual syndrome in high school students: A social network-based quasi-experimental controlled trial

AIM

This study aimed to compare the effect of peer education and education provided by healthcare providers on PMS in high school students.

MATERIALS AND METHODS

This quasi-experimental non-randomized controlled trial with a three-armed parallel design was performed on 90 students allocated in three groups, namely, education by peer (intervention group 1 = 30), education by a healthcare provider (intervention group 2 = 30), and a control group (n = 30). The primary outcome was a change in the score of PMS, and the secondary outcomes were changes in the general health score and the frequency of premenstrual dysphoric disorder (PMDD). Education about PMS management was held in WhatsApp messenger in six sessions (two sessions per week) for both intervention groups. All three groups received routine school counseling. The researchers applied repeated-measures ANCOVA, McNemar, and post-hoc Bonferroni tests.

RESULTS

Education in intervention group 1 (Partial Eta Squared = 0.67, p < 0.0001) and intervention group 2 (Partial Eta Squared = 0.82, p < 0.0001) significantly reduced the PMS score compared to the control group. In addition, the change in general health score in the intervention groups compared to the control group showed the effectiveness of the intervention (p < 0.001). Education did not significantly reduce PMDD frequency in the intervention groups compared to the control group (p > 0.05).

CONCLUSION

This study suggests education by peers and healthcare providers effects on PMS and general health in adolescents. It suggested that the effectiveness of these approaches be investigated in other adolescents' health conditions.

Allopregnanolone Is Associated with a Stress-Induced Reduction of Heart Rate Variability in Premenstrual Dysphoric Disorder

Human survival and wellbeing require appropriate responses to stress, including a highly coordinated and efficient nervous system control of the heart rhythm. During stress, a greater disinhibition of the vagal nerve is reflective of poor stress adaptability, which may be relevant in premenstrual dysphoric disorder (PMDD)-a debilitating affective condition thought to be marked by dysregulated stress processing and sensitivity to allopregnanolone. In the present study, women with PMDD (n = 17) and healthy controls (n = 18), who did not take medication, smoke, or consume illicit drugs, and who were free of other psychiatric conditions, participated in the Trier Social Stress Test, during which we measured the high frequency of the heart rate (HF-HRV) and allopregnanolone using ultra-performance liquid chromatography tandem mass spectrometry. Relative to their baseline, women who have PMDD, but not the healthy controls, experienced a reduction in HF-HRV during stress anticipation (p ≤ 0.05) and stress (p ≤ 0.01). Their recovery from stress was significantly delayed (p ≤ 0.05). Absolute peak HF-HRV change from baseline was significantly predicted by baseline allopregnanolone only in the PMDD group (p ≤ 0.01). The present study shows how an interaction between stress and allopregnanolone-which have both been separately implicated in PMDD-underlies PMDD expression.

Sex and pubertal influences on the neurodevelopmental underpinnings of schizophrenia: A case for longitudinal research on adolescents

Sex is a significant source of heterogeneity in schizophrenia, with more negative symptoms in males and more affective symptoms and internalizing comorbidity in females. In this narrative review, we argue that there are likely sex differences in the pathophysiological mechanisms of schizophrenia-spectrum disorders (SZ) that originate during puberty and relate to the sex-specific impacts of pubertal maturation on brain development. Pubertal maturation might also trigger underlying (genetic or other) vulnerabilities in at-risk individuals, influencing brain development trajectories that contribute to the emergence of SZ. This review is the first to integrate links between pubertal development and neural development with cognitive neuroscience research in SZ to form and evaluate these hypotheses, with a focus on the frontal-striatal and frontal-limbic networks and their hypothesized contribution to negative and mood symptoms respectively. To test these hypotheses, longitudinal research with human adolescents is needed that examines the role of sex and pubertal development using large cohorts or high risk samples. We provide recommendations for such studies, which will integrate the fields of psychiatry, developmental cognitive neuroscience, and developmental endocrinology towards a more nuanced understanding of the role of pubertal factors in the hypothesized sex-specific pathophysiological mechanisms of schizophrenia.

Risks of major affective disorders following a diagnosis of premenstrual dysphoric disorder: A nationwide longitudinal study

Whether a history of premenstrual dysphoric disorder (PMDD) is associated with a subsequent risk of major affective disorders remains unclear. This study aimed to examine the risk of unipolar depression and bipolar disorder in women with PMDD compared with those without PMDD. This study used data from the Taiwan National Health Insurance Research Database. Women who were diagnosed with PMDD and had no history of any major affective disorder were included. The controls were women without PMDD matched for demographics and physical and psychiatric comorbidities. Cox regression was used to estimate the risk of unipolar depression and bipolar disorder. We included 8222 women with PMDD and 32,888 matched controls. After adjusting for potential confounders, we found that the women with PMDD were associated with a higher risk of unipolar depression [hazard ratio (HR) 2.58; 95 % confidence interval (CI), 2.23-2.98] and bipolar disorder (HR 2.50; 95 % CI 1.62-3.88) than the controls. The PMDD group had a younger age at the diagnosis of unipolar depression (37.11 vs 41.59 years) and bipolar disorder (35.59 vs 42.02 years, p = 0.002), and shorter duration between enrollment and onset of unipolar depression (2.97 vs 5.33 years, p < 0.001) and bipolar disorder (3.05 vs 5.57 years, p < 0.001). Our results showed a strong association between PMDD and major affective disorders. Healthcare workers should be aware of patients with PMDD and the risk of developing major affective mental disorders.

Estrogen fluctuations during the menopausal transition are a risk factor for depressive disorders

Women are significantly more likely to develop depression than men. Fluctuations in the ovarian estrogen hormone levels are closely linked with women's well-being. This narrative review discusses the available knowledge on the role of estrogen in modulating brain function and the correlation between changes in estrogen levels and the development of depression. Equally discussed are the possible mechanisms underlying these effects, including the role of estrogen in modulating brain-derived neurotrophic factor activity, serotonin neurotransmission, as well as the induction of inflammatory response and changes in metabolic activity, are discussed.

Neuroendocrine pathogenesis of perimenopausal depression

With the development of social economics and the increase of working pressure, more and more women are suffering from long-term serious stress and showing symptoms of perimenopausal depression (PMD). The incidence rate of PMD is increasing, and the physical and mental health are seriously affected. However, due to the lack of accurate knowledge of pathophysiology, its diagnosis and treatment cannot be accurately executed. By consulting the relevant literature in recent years, this paper elaborates the neuroendocrine mechanism of perimenopausal depression from the aspects of epigenetic changes, monoamine neurotransmitter and receptor hypothesis, glial cell-induced neuroinflammation, estrogen receptor, interaction between HPA axis and HPG axis, and micro-organism-brain gut axis. The purpose is to probe into new ways of treatment of PMD by providing new knowledge about the neuroendocrine mechanism and treatment of PMD.

Increase in serotonin transporter binding in patients with premenstrual dysphoric disorder across the menstrual cycle: a case-control longitudinal neuroreceptor ligand PET imaging study

BACKGROUND

Premenstrual dysphoric disorder (PMDD) disrupts the lives of millions of people each month. The timing of symptoms suggests that hormonal fluctuations play a role in the pathogenesis. Here, we tested whether a heightened sensitivity of the serotonin system to menstrual cycle phase underlies PMDD, assessing the relationship of serotonin transporter (5-HTT) changes with symptom severity across the menstrual cycle.

METHODS

In this longitudinal case-control study, we acquired 118 [¹¹C]DASB positron emission tomography scans measuring 5-HTT nondisplaceable binding potential (BP_ND) in 30 patients with PMDD and 29 controls during 2 menstrual cycle phases (periovulatory, premenstrual). The primary outcome was midbrain and prefrontal cortex 5-HTT BP_ND. We tested whether BP_ND changes correlated with depressed mood.

RESULTS

Linear mixed effects modeling (significant group × time × region interaction) showed a mean increase of 18% in midbrain 5-HTT BP_ND (mean [SD] periovulatory = 1.64 [0.40], premenstrual = 1.93 [0.40], delta = 0.29 [0.47]: t₂₉ = -3.43, p = .0002) in patients with PMDD, whereas controls displayed a mean 10% decrease in midbrain 5-HTT BP_ND (periovulatory = 1.65 [0.24] > premenstrual = 1.49 [0.41], delta = -0.17 [0.33]: t₂₈ = -2.73, p = .01). In patients, increased midbrain 5-HTT BP_ND correlated with depressive symptom severity (R² = 0.41, p < .0015) across the menstrual cycle.

CONCLUSIONS

These data suggest cycle-specific dynamics with increased central serotonergic uptake followed by extracellular serotonin loss underlying the premenstrual onset of depressed mood in patients with PMDD. These neurochemical findings argue for systematic testing of pre-symptom-onset dosing of selective serotonin reuptake inhibitors or nonpharmacological strategies to augment extracellular serotonin in people with PMDD.

Associated factors with Premenstrual syndrome and Premenstrual dysphoric disorder among female medical students: A cross-sectional study

AIM

The study aimed to determine potential risk factors associated with Premenstrual Syndrome and Premenstrual Dysphoric Disorder.

METHODS

Three hundred two female student participants who were 18-45 years old completed a questionnaire including demographic characteristics, lifestyle factors, and a Vietnamese Premenstrual Syndrome Screening Tool. We then followed up participants during at least two menstrual cycles using the Daily Record of Severity of Problems. The Premenstrual Syndrome and Premenstrual Dysphoric Disorder diagnosis was established using The Carolina Premenstrual Assessment Scoring System, based on the American College of Obstetrics and Gynecology and Diagnostic and Statistical Manual of Mental Disorders.

RESULTS

According to the Carolina Premenstrual Assessment Scoring System, 35 out of 302 students (11.6%; 95%CI: 8.2-15.7%) met the diagnosis of PMS (31 students) or PMDD (4 students). We found that age at menarche (PR = 0.77, 95%CI: 0.63-0.96), having negative Rh blood type (PR = 4.43, 95%CI: 1.95 to 10.08), being moderately depressed or higher (PR = 2.81, 95%CI: 1.24 to 6.36), and consuming caffeine more than three times per week were statistically associated with having Premenstrual Syndrome or Premenstrual Dysphoric Disorder after adjusting for other variables.

CONCLUSION

The prominent risk factors for Premenstrual Syndrome and Premenstrual Dysphoric Disorder were negative Rhesus blood type, menarche age, caffeine consumption, and self-reported depression.

Role of allopregnanolone-mediated γ-aminobutyric acid A receptor sensitivity in the pathogenesis of premenstrual dysphoric disorder: Toward precise targets for translational medicine and drug development

Premenstrual dysphoric disorder (PMDD) can be conceptualized as a disorder of suboptimal sensitivity to neuroactive steroid hormones. Its core symptoms (emotional instability, irritability, depression, and anxiety) are related to the increase of stress sensitivity due to the fluctuation of hormone level in luteal phase of the menstrual cycle. In this review, we describe the emotional regulatory effect of allopregnanolone (ALLO), and summarize the relationship between ALLO and γ-aminobutyric acid A (GABA_A) receptor subunits based on rodent experiments and clinical observations. A rapid decrease in ALLO reduces the sensitivity of GABA_A receptor, and reduces the chloride influx, hindered the inhibitory effect of GABAergic neurons on pyramidal neurons, and then increased the excitability of pyramidal neurons, resulting in PMDD-like behavior. Finally, we discuss in depth the treatment of PMDD with targeted GABA_A receptors, hoping to find a precise target for drug development and subsequent clinical application. In conclusion, PMDD pathophysiology is rooted in GABA_A receptor sensitivity changes caused by rapid changes in ALLO levels. Targeting GABA_A receptors may alleviate the occurrence of PMDD.

Altered visual cortex excitability in premenstrual dysphoric disorder: Evidence from magnetoencephalographic gamma oscillations and perceptual suppression

Premenstrual dysphoric disorder (PMDD) is a psychiatric condition characterized by extreme mood shifts during the luteal phase of the menstrual cycle (MC) due to abnormal sensitivity to neurosteroids and unbalanced neural excitation/inhibition (E/I) ratio. We hypothesized that in women with PMDD in the luteal phase, these factors would alter the frequency of magnetoencephalographic visual gamma oscillations, affect modulation of their power by excitatory drive, and decrease perceptual spatial suppression. Women with PMDD and control women were examined twice-during the follicular and luteal phases of their MC. We recorded visual gamma response (GR) while modulating the excitatory drive by increasing the drift rate of the high-contrast grating (static, 'slow', 'medium', and 'fast'). Contrary to our expectations, GR frequency was not affected in women with PMDD in either phase of the MC. GR power suppression, which is normally associated with a switch from the 'optimal' for GR slow drift rate to the medium drift rate, was reduced in women with PMDD and was the only GR parameter that distinguished them from control participants specifically in the luteal phase and predicted severity of their premenstrual symptoms. Over and above the atypical luteal GR suppression, in both phases of the MC women with PMDD had abnormally strong GR facilitation caused by a switch from the 'suboptimal' static to the 'optimal' slow drift rate. Perceptual spatial suppression did not differ between the groups but decreased from the follicular to the luteal phase only in PMDD women. The atypical modulation of GR power suggests that neuronal excitability in the visual cortex is constitutively elevated in PMDD and that this E/I imbalance is further exacerbated during the luteal phase. However, the unaltered GR frequency does not support the hypothesis of inhibitory neuron dysfunction in PMDD.

Prevalence and patterns of premenstrual disorders and possible association with sexual harassment: a cross-sectional study of young Arab women

BACKGROUND

Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) represent a range of both psychiatric and physical symptoms that impair quality of life and interfere with daily activities in females.

AIMS

To assess the prevalence of PMS and PMDD in Egypt, Jordan and Syria, its demographic associations and the potential link to sexual harassment (SH).

METHODS

We used an Arabic version of the premenstrual symptoms screening tool (PSST) to assess the prevalence of PMS and PMDD. Another two-part questionnaire was used to assess the harassment experience.

RESULTS

22,021 women agreed to fill the questionnaire; the majority (65%) aged 18-25 years old. PMS was more prevalent in Egyptian women 77.7% followed by women from Jordan 72.9% then Syria 66.3%. PMDD prevalence followed the same order (40%, 34.7% and 28.2%). Both conditions were significantly associated with obesity and working in medical careers (P = .001). 5733 women agreed to share their sexual harassment experience. Results showed a significant association between the diversity and frequency of sexual harassment and the frequency of the pre-menstrual conditions, PMS Frequency was 87.6%, 80.7% and 78% in participants who were harassed on daily basis Vs. once weekly or monthly vs. few times in their lifetime (p = .04). A similar statistically significant difference was noticed regarding having PMDD (66.4% vs. 47.6% vs. 42.5%).

CONCLUSION

The study showed high levels of both PMS and PMDD. The data provided by this study also sheds light on a potential link between SH and developing Pre-menstrual disorders.

Stress and rumination in Premenstrual Syndrome (PMS): Identifying stable and menstrual cycle-related differences in PMS symptom severity

Since the inclusion of Premenstrual Dysphoric Disorder (PMDD) as a mood disorder in the DSM-5, Premenstrual Syndrome (PMS) symptoms have received more attention from researchers and clinicians. In this large-scale study, we investigated core psychological concepts relevant to mood disorder vulnerability between people with 1) no to mild, 2) moderate to severe, and 3) PMDD levels of PMS symptoms. Several trait measures related to mood disorders including depressive symptoms, feelings of stress and anxiety, and ruminative thinking were measured (single measurement, N = 380) along with state (momentary) reports of stress and stress-related perseverative thinking (measured twice, once in the follicular and once in the premenstrual/luteal phase, N = 237). We consistently observed that participants with higher severity of PMS symptoms also scored higher on depression, anxiety, stress, and rumination (trait measures). We also found consistent increases in momentary stress and stress-related perseverative ruminative thinking with increased PMS symptoms at each of our two test moments (in the middle of the follicular and premenstrual/luteal phase respectively). Interestingly, we did not find significant differences between our two test moments for any group, despite PMS being characterized by specific systems in the premenstrual/luteal phase. However, this could be due to noise surrounding the testing moments due to the temporal resolution of the questionnaires and the menstrual cycle estimation method. Nevertheless, these results suggest that stress and rumination are important psychological mechanisms to consider in PMS. Future PMS research studying stress and rumination on a day-to-day basis in combination with hormonal measures is warranted.

The estrous cycle modulates early-life adversity effects on mouse avoidance behavior through progesterone signaling

Early-life adversity (ELA) increases the likelihood of neuropsychiatric diagnoses, which are more prevalent in women than men. Since changes in reproductive hormone levels can also increase the probability of anxiety disorders in women, we examined the effects of ELA on adult female mice across the estrous cycle. We found that during diestrus, when progesterone levels are relatively high, ELA mice exhibit increased avoidance behavior and increased theta oscillation power in the ventral hippocampus (vHIP). We also found that diestrus ELA mice had higher levels of progesterone and lower levels of allopregnanolone, a neurosteroid metabolite of progesterone, in the vHIP compared with control-reared mice. Progesterone receptor antagonism normalized avoidance behavior in ELA mice, while treatment with a negative allosteric modulator of allopregnanolone promoted avoidance behavior in control mice. These results suggest that altered vHIP progesterone and allopregnanolone signaling during diestrus increases avoidance behavior in ELA mice.

Grey matter morphology in women with premenstrual dysphoric disorder treated with a selective progesterone receptor modulator

Premenstrual dysphoric disorder (PMDD) is characterized by severe cyclic mood symptoms emerging in the luteal phase of the menstrual cycle. The variation in progesterone levels and its metabolites during the luteal phase seems critical to the occurrence of PMDD symptoms. Notably, the efficacy of selective progesterone receptor modulator (SPRM) treatment on the mental symptoms of PMDD has been recently demonstrated. In the present study, structural magnetic resonance imaging was used to assess the effects of SPRM treatment, compared with placebo, on grey matter morphology in women with PMDD. In total, 35 women were scanned during the luteal phase, before and after three months of treatment with SPRM or placebo. Symptom severity was assessed using the Daily Record of Severity of Problems (DRSP), while gonadal hormone levels were measured by liquid chromatography-tandem mass spectrometry. Region-of-interest and whole-brain approaches were employed to perform voxel-based morphometry analyses, subcortical volumetric analyses, and surface-based morphometry analyses. No interaction or main effects of treatment and time were observed on grey matter volume and cortical surface measures (cortical thickness, gyrification index, sulcal depth, and fractal dimension). The relationship between change in brain morphology and symptom severity was also explored but no treatment-dependant grey matter structure change was related to symptom severity change. These findings suggest that SPRM treatment does not impart macrostructural changes onto grey matter structure, at least in the short term.

Unmet Needs Discussed on Reddit by Women with Premenstrual Dysphoric Disorder

Premenstrual dysphoric disorder (PMDD) is a disabling disorder that impacts 1.8 percent to 5.8 percent of menstruating women for 1-2 weeks each month. Many affected women turn to social media platforms for the information and the support they feel that they do not get from other sources. We sought to better understand the most strongly expressed unmet needs of women with PMDD by analyzing their posts and comments on one of the largest social media platforms (Reddit), which has been providing important insights into other medical problems. We searched Reddit using the subreddit title "r/PMDD" for posts from January 2020 through November 2021. To identify the most prevalent issues, we included all written posts with a submission score of at least 5 and at least three comments. Two authors classified each post; inconsistencies were resolved by a third reviewer. Over 800 posts were reviewed; 250 met study criteria; additionally, over 875 comments were evaluated. Four main themes emerged from the analysis: emotional responses to PMDD; unanswered questions women had about the diagnosis and treatment of PMDD; the impact that PMDD had on personal relationships, and, finally, the recommendations women made to others based on their own experience, accurate or not. These themes are detailed in this article to provide insights into what many women with PMDD experience and what their frustrations and misunderstandings are about the condition so that clinicians may better help address women's unspoken questions and correct their possible misinformation.

Differences in Cognitive Triad, Biased Information Processing, and Metacognitive Beliefs Between Women with Depression and Premenstrual Syndrome

The timing of premenstrual syndrome (PMS) suggests that hormonal fluctuations are a key component in its pathogenesis. Unfortunately, women with PMS cannot be distinguished from asymptomatic women regarding biological markers. Research suggests that increased susceptibility to hormonal changes among women with PMS may be explained by the theory of cognitive vulnerability to affective disorders. The study group comprised 127 women (aged 19–35). The participants were divided into four groups: asymptomatic, nondepressed with PMS, depressed without PMS, and both depressed and with PMS. PMS was diagnosed by prospective daily reports, and depression by SCID-IV. All participants completed the Cognitive triad inventory (CTI), Metacognitive belief questionnaire (MCQ-30), and the self-referent information processing task (SRET) randomly either in the follicular or luteal phase. Findings indicated that only the asymptomatic women differed in cognitive processing from the depressed women. Those with PMS, despite demonstrating a slightly greater intensity of distorted cognitive processing, did not differ significantly from the asymptomatic participants; however, they differed from those with depression regarding in the cognitive triad. The phase of the cycle was not a significant factor in differentiating distorted cognitive processing. Depressed women have more distorted cognitive processes than non-depressed women. Women with PMS appear to be a group that lies between asymptomatic women and those who suffer from depression. Moreover, among women with depression, those with PMS have even more severe distorted cognitive processing than those without PMS.

What is there to know about the effects of progestins on the human brain and cognition?

Progestins are an important component of hormonal contraceptives (HCs) and hormone replacement therapies (HRTs). Despite an increasing number of studies elucidating the effects of HCs and HRTs, little is known about the effects of different types of progestins included in these medications on the brain. Animal studies suggest that various progestins interact differently with sex steroid, mineralocorticoid and glucocorticoid receptors and have specific modulatory effects on neurotransmitter systems and on the expression of neuropeptides, suggesting differential impacts on cognition and behavior. This review focuses on the currently available knowledge from human behavioral and neuroimaging studies pooled with evidence from animal research regarding the effects of progestins on the brain. The reviewed information is highly relevant for improving women's mental health and making informed choices regarding specific types of contraception or treatment.

Can animal models resemble a premenstrual dysphoric condition?

Around 80% of women worldwide suffer mild Premenstrual Disorders (PMD) during their reproductive life. Up to a quarter are affected by moderate to severe symptoms, and between 3% and 8% experience a severe form. It is classified as premenstrual syndrome (PMS) with predominantly physical symptoms and premenstrual dysphoric disorder (PMDD) with psychiatric symptoms. The present review analyzes the factors associated with PMD and the Hypothalamus-Pituitary-Ovarian or Hypothalamus-Pituitary-adrenal axis and discusses the main animal models used to study PMDD. Evidence shows that the ovarian hormones participate in PMDD symptoms, and several points of regulation of their synthesis, metabolism, and target sites could be altered. PMDD is complex and implies several factors that require consideration when this condition is modeled in animals. Of particular interest are those points related to areas that may represent opportunities to develop new approximations to understand the mechanisms involved in PMDD and possible treatments.

Dimensional (premenstrual symptoms screening tool) vs categorical (mini diagnostic interview, module U) for assessment of premenstrual disorders

BACKGROUND

Premenstrual syndrome (PMS) is the constellation of physical and psychological symptoms before menstruation. Premenstrual dysphoric disorder (PMDD) is a severe form of PMS with more depressive and anxiety symptoms. The Mini international neuropsychiatric interview, module U (MINI-U), assesses the diagnostic criteria for probable PMDD. The Premenstrual Symptoms screening tool (PSST) measures the severity of these symptoms.

AIM

To compare the PSST ordinal scores with the corresponding dichotomous MINI-U answers.

METHODS

Arab women (n = 194) residing in Doha, Qatar, received the MINI-U and PSST. Receiver Operating Characteristics (ROC) analyses provided the cut-off scores on the PSST using MINI-U as a gold standard.

RESULTS

All PSST ratings were higher in participants with positive responses on MINI-U. In addition, ROC analyses showed that all areas under the curves were significant with the cutoff scores on PSST.

CONCLUSION

This study confirms that the severity measures from PSST can recognize patients with moderate/ severe PMS and PMDD who would benefit from immediate treatment.

Chimeric Structures in Mental Illnesses-"Magic" Molecules Specified for Complex Disorders

Mental health problems cover a wide spectrum of diseases, including mild to moderate anxiety, depression, alcohol/drug use disorders, as well as bipolar disorder and schizophrenia. Pharmacological treatment seems to be one of the most effective opportunities to recover function efficiently and satisfactorily. However, such disorders are complex as several target points are involved. This results in a necessity to combine different types of drugs to obtain the necessary therapeutic goals. There is a need to develop safer and more effective drugs. Considering that mental illnesses share multifactorial processes, the paradigm of one treatment with multiple modes of action rather than single-target strategies would be more effective for successful therapies. Therefore, hybrid molecules that combine two pharmacophores in one entity show promise, as they possess the desired therapeutic index with a small off-target risk. This review aims to provide information on chimeric structures designed for mental disorder therapy (i.e., schizophrenia and depression), and new types of drug candidates currently being tested. In addition, a discussion on some benefits and limitations of multifunctional, bivalent drug candidates is also given.

Association between premenstrual dysphoric disorder and perinatal depression: a systematic review

Premenstrual dysphoric disorder (PMDD) affects 1.2 to 5% of women of reproductive age. Besides significant suffering and social, occupational, and interpersonal impairment, it has been suggested that this syndrome is associated with other affective disorders, in different reproductive phases, such as pregnancy and the postpartum period. However, the literature on this association is scarce and presents great variability in terms of adopted methodology and mixed results. To analyze the relationship between PMDD and other affective disorders, aiming to contribute to the clarification of whether PMDD can be considered a risk factor for perinatal depression (PND). Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a comprehensive literature search in PubMed, EMBASE, CINAHL, PsycINFO databases. Seven original studies were included. Only one study linked PMDD with depression during pregnancy, with evidence of a positive association between PMDD and PND. This and five other studies show a positive relationship between PMDD and postpartum depression (PPD), assessed in periods ranging from 2 to 4 days to 1 year after birth. Only one study found no significant association between PMDD and PPD, assessed at 4 weeks postpartum. There seems to be a positive and significant association between PMDD and the development of perinatal depression, particularly postpartum depression. This review supports the relevance of health professionals systematically evaluating the presence of premenstrual dysphoric disorder, when monitoring women throughout the perinatal period.

The prevalence of early life trauma in premenstrual dysphoric disorder (PMDD)

Early life trauma is a risk factor for many mental disorders; however, there is a lack of research exploring early life trauma in Premenstrual Dysphoric Disorder (PMDD), a debilitating form of Premenstrual Syndrome (PMS). This descriptive study aimed to determine the prevalence of early life trauma in women with PMDD and characterise type and age of trauma experience. Data for 100 women diagnosed with PMDD was extracted from the Monash Alfred Women's Mental Health Clinic Database. Experience of early life trauma was subclassified into four types (Physical abuse, sexual abuse, emotional abuse and/or neglect) and four age groups (0-5, 6-10, 11-14 and/or 15-18 years old). Prevalence of early life trauma was calculated and compared with Australian population estimates. Eighty-three percent of women with PMDD had experienced early life trauma, with emotional abuse being the most common (71%). All types of trauma were more common amongst PMDD women than the general Australian population. Trauma prevalence was similar across the four age groups, ranging from 59 to 66%. Of note, 51.8% women experienced trauma across all age groups. Our results suggest a strong association between early life trauma and PMDD. Emotional abuse and/or chronic trauma across childhood may be most strongly associated with PMDD.

Gut Microbiota Metabolites in Major Depressive Disorder-Deep Insights into Their Pathophysiological Role and Potential Translational Applications

The gut microbiota is a complex and dynamic ecosystem essential for the proper functioning of the organism, affecting the health and disease status of the individuals. There is continuous and bidirectional communication between gut microbiota and the host, conforming to a unique entity known as "holobiont". Among these crosstalk mechanisms, the gut microbiota synthesizes a broad spectrum of bioactive compounds or metabolites which exert pleiotropic effects on the human organism. Many of these microbial metabolites can cross the blood-brain barrier (BBB) or have significant effects on the brain, playing a key role in the so-called microbiota-gut-brain axis. An altered microbiota-gut-brain (MGB) axis is a major characteristic of many neuropsychiatric disorders, including major depressive disorder (MDD). Significative differences between gut eubiosis and dysbiosis in mental disorders like MDD with their different metabolite composition and concentrations are being discussed. In the present review, the main microbial metabolites (short-chain fatty acids -SCFAs-, bile acids, amino acids, tryptophan -trp- derivatives, and more), their signaling pathways and functions will be summarized to explain part of MDD pathophysiology. Conclusions from promising translational approaches related to microbial metabolome will be addressed in more depth to discuss their possible clinical value in the management of MDD patients.