Addison's disease caused by adrenal tuberculosis may lead to misdiagnosis of major depressive disorder: A case report

BACKGROUND Addison’s disease(AD)is a rare but potentially fatal disease in Western countries,which can easily be misdiagnosed at an early stage.Severe adrenal tuberculosis(TB)may lead to depression in patients.CASE SUMMARY We report a case of primary adrenal insufficiency secondary to adrenal TB with TB in the lungs and skin in a 48-year-old woman.The patient was misdiagnosed with depression because of her depressed mood.She had hyperpigmentation of the skin,nails,mouth,and lips.The final diagnosis was adrenal TB that resulted in the insufficient secretion of adrenocortical hormone.Adrenocortical hormone test,skin biopsy,T cell spot test of TB,and adrenal computed tomography scan were used to confirm the diagnosis.The patient’s condition improved after hormone replacement therapy and TB treatment.CONCLUSION Given the current status of TB in high-burden countries,outpatient doctors should be aware of and pay attention to TB and understand the early symptoms of AD.

Electroencephalography in the diagnosis and management of treatment-resistant depression with comorbid epilepsy:a novel strategy

INTRODUCTION.Depression,a common mental disorder,is a leading cause of disability worldwide,with a global prevalence ranging from 20% to 25% in women and 7% to 12% in men,and it has exhibited an increasing trend in recent decades.Despite being known for decades,a consensus on the definition and diagnosis of treatment-resistant depression(TRD)is still lacking.

EliteVec: Feature Fusion for Depression Diagnosis Using Optimized Long Short-Term Memory Network

Globally,depression is perceived as the most recurrent and risky disor-der among young people and adults under the age of 60.Depression has a strong influence on the usage of words which can be observed in the form of written texts or stories posted on social media.With the help of Natural Language Proces-sing(NLP)and Machine Learning(ML)techniques,the depressive signs expressed by people can be identified at the earliest stage from their Social Media posts.The proposed work aims to introduce an efficacious depression detection model unifying an exemplary feature extraction scheme and a hybrid Long Short-Term Memory network(LSTM)model.The feature extraction process combines a novel feature selection method called Elite Term Score(ETS)and Word2Vec to extract the syntactic and semantic information respectively.First,the ETS method leverages the document level,class level,and corpus level prob-abilities for computing the weightage/score of the terms.Then,the ideal and per-tinent set of features with a high ETS score is selected,and the Word2vec model is trained to generate the intense feature vector representation for the set of selected terms.Finally,the resultant word vector obtained is called EliteVec,which is fed to the hybrid LSTM model based on Honey Badger optimizer with population reduction technique(PHB)which predicts whether the input textual content is depressive or not.The PHB algorithm is integrated to explore and exploit the opti-mal hyperparameters for strengthening the performance of the LSTM network.The comprehensive experiments are carried out with two different Twitter depres-sion corpus based on accuracy and Root Mean Square Error(RMSE)metrics.The results demonstrated that the proposed EliteVec+LSTM+PHB model outperforms the state-of-art models with 98.1%accuracy and 0.0559 RMSE.

Risk Factors of Depression Screened by Two-Sample Mendelian Randomization Analysis:A Systematic Review

Objective This study explored the potentially modifiable factors for depression and major depressive disorder(MDD)from the MR-Base database and further evaluated the associations between drug targets with MDD.Methods We analyzed two-sample of Mendelian randomization(2SMR)using genetic variant depression(n=113,154)and MDD(n=208,811)from Genome-Wide Association Studies(GWAS).Separate calculations were performed with modifiable risk factors from MR-Base for 1,001 genomes.The MR analysis was performed by screening drug targets with MDD in the DrugBank database to explore the therapeutic targets for MDD.Inverse variance weighted(IVW),fixed-effect inverse variance weighted(FE-IVW),MR-Egger,weighted median,and weighted mode were used for complementary calculation.Results The potential causal relationship between modifiable risk factors and depression contained 459 results for depression and 424 for MDD.Also,the associations between drug targets and MDD showed that SLC6A4,GRIN2A,GRIN2C,SCN10A,and IL1B expression are associated with an increased risk of depression.In contrast,ADRB1,CHRNA3,HTR3A,GSTP1,and GABRG2 genes are candidate protective factors against depression.Conclusion This study identified the risk factors causally associated with depression and MDD,and estimated 10 drug targets with significant impact on MDD,providing essential information for formulating strategies to prevent and treat depression.

Homocysteinemia and Depression in Community-Dwelling Older Adults: The Cohort Longitudinal Study “InveCeAb” (Brain Aging in Abbiategrasso)

Depression is a major health problem, especially for elderly people. According to the “homocysteine hypothesis of depression”, high homocysteine levels may cause depression of mood via cerebrovascular diseases. Whilst biologically plausible, such hypothesis needs yet confirmation. We aimed at: 1) studying the relationships between homocysteinemia (HCY) and depression in a community-dwelling cohort of people aged 70 to 75 years at baseline;2) investigating plasma levels of HCY and 3) comparing these levels between males and females, in the same population. We exploited the data from four waves (2010, 2012, 2014 and 2018) of the longitudinal study “InveCeAb”, with specific regard towards mood assessment, by Geriatric Depression Scale (GDS) scoring, and diagnosis of clinically relevant or subthreshold depression. HCY plasma levels were measured in the waves 2012, 2014 and 2018. Sample attrition was due mainly to death or overall worsening. No statistically significant differences were found in plasma homocysteine levels in each wave, according to depressive symptoms. No correlations were found between plasma HCY levels in each wave with their corresponding GDS scores, even after adjustment for folate and cobalamin blood concentrations. Dichotomized levels of HCY (≤15 vs >15 μM/l) were not associated with dichotomized GDS scores (≤4 vs higher), clinically relevant and subthreshold depression diagnosis and any antidepressive use, in any wave. First (2012) HCY levels increased with participants’ increasing age, cross-sectionally. Listwise HCY concentrations decreased along the 3 waves. HCY levels were always higher in males than in females. Our results may challenge the “homocysteine hypothesis” of depression, whilst supporting the role of high homocysteinemia as a marker of overall bad health.

Risk and Protective Factors Associated with Depression and Anxiety among Pregnant Women during the COVID-19 Pandemic

Background: The coronavirus disease (COVID-19) pandemic has impacted perinatal women’s mental health. However, protective factors associated with depression among pregnant Japanese women during the pandemic have not been reported. Purpose: The present study investigated the risk and protective factors associated with depression and anxiety among pregnant women during the COVID-19 pandemic. Methods: An online questionnaire was administered to 157 pregnant women between October 2022 and May 2023 at two general hospitals in Japan. The Japanese versions of the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to assess symptoms of depression and anxiety. The χ2 test or Fisher’s exact test and multivariate logistic regression model were used to examine factors associated with depression and anxiety among pregnant women. Results: Overall, 47.1% and 35.7% of the pregnant women reported depressive and anxiety symptoms, respectively. A “history of mental illness” was a risk factor for depression and anxiety among pregnant women during the COVID-19 pandemic. Additionally, unmarried status was a risk factor for anxiety among pregnant women, whereas outdoor and indoor exercises were protective factors against depression and anxiety, respectively. Conclusions: Exercise may have protected pregnant women from depression and anxiety during the COVID-19 pandemic. Encouraging exercise may help maintain the mental health of pregnant women who do not have exercise restrictions.

Endoplasmic reticulum stress,autophagy,neuroinflammation,and sigma 1 receptors as contributors to depression and its treatment

The etiological factors contributing to depression and other neuropsychiatric disorders are largely undefined. Endoplasmic reticulum stress pathways and autophagy are well-defined mechanisms that play critical functions in recognizing and resolving cellular stress and are possible targets for the pathophysiology and treatment of psychiatric and neurologic illnesses. An increasing number of studies indicate the involvement of endoplasmic reticulum stress and autophagy in the control of neuroinflammation, a contributing factor to multiple neuropsychiatric illnesses. Initial inflammatory triggers induce endoplasmic reticulum stress, leading to neuroinflammatory responses. Subsequently, induction of autophagy by neurosteroids and other signaling pathways that converge on autophagy induction are thought to participate in resolving neuroinflammation. The aim of this review is to summarize our current understanding of the molecular mechanisms governing the induction of endoplasmic reticulum stress, autophagy, and neuroinflammation in the central nervous system. Studies focused on innate immune factors, including neurosteroids with anti-inflammatory roles will be reviewed. In the context of depression, animal models that led to our current understanding of molecular mechanisms underlying depression will be highlighted, including the roles of sigma 1 receptors and pharmacological agents that dampen endoplasmic reticulum stress and associated neuroinflammation.

Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis With Neuromorphic Computing

Dear Editor,This letter presents a novel dynamic vision enabled contactless cross-domain fault diagnosis method with neuromorphic computing.The event-based camera is adopted to capture the machine vibration states in the perspective of vision.

Microglial NLRP3 inflammasome-mediated neuroinflammation and therapeutic strategies in depression

Previous studies have demonstrated a bidirectional relationship between inflammation and depression.Activation of the nucleotide-binding oligomerization domain,leucine-rich repeat,and NLR family pyrin domain-containing 3(NLRP3)inflammasomes is closely related to the pathogenesis of various neurological diseases.In patients with major depressive disorder,NLRP3 inflammasome levels are significantly elevated.Understanding the role that NLRP3 inflammasome-mediated neuroinflammation plays in the pathogenesis of depression may be beneficial for future therapeutic strategies.In this review,we aimed to elucidate the mechanisms that lead to the activation of the NLRP3 inflammasome in depression as well as to provide insight into therapeutic strategies that target the NLRP3 inflammasome.Moreover,we outlined various therapeutic strategies that target the NLRP3 inflammasome,including NLRP3 inflammatory pathway inhibitors,natural compounds,and other therapeutic compounds that have been shown to be effective in treating depression.Additionally,we summarized the application of NLRP3 inflammasome inhibitors in clinical trials related to depression.Currently,there is a scarcity of clinical trials dedicated to investigating the applications of NLRP3 inflammasome inhibitors in depression treatment.The modulation of NLRP3 inflammasomes in microglia holds promise for the management of depression.Further investigations are necessary to ascertain the efficacy and safety of these therapeutic approaches as potential novel antidepressant treatments.

Depression and Suicidal Risk in HIV-Infected Adults at Brazzaville University Hospital: Prevalence and Associated Factors

Introduction: Highly active antiretroviral tritherapies have improved the quality of life of people living with HIV (PVVIH) and extended their life expectancy. However, the nervous system is faced with a neurotropic virus that evolves chronically, sometimes creating neurological disorders directly or indirectly linked to stigmatization or therapeutic effects. Objective: to determine the prevalence of depression associated with suicidal risk (SR) and identify associated factors. Patients and method: This was a prospective descriptive and analytical study from January 1 to November 30, 2022, including all HIV-positive patients receiving or not receiving antiretroviral therapy. The study took place in the infectious diseases department of Brazzaville University Hospital. This department has an inpatient capacity of 36 beds, and an outpatient capacity of 25 patients per day, three times a week. This is the largest center for PVVIH in Brazzaville. The Patient Heath Questionnaire 9 (PHQ-9) was used to assess the degree of depression and suicidal risk. Therapeutic adherence was assessed using the Morisky questionnaire. Data were analyzed using SPSS version 23 software. Qualitative variables were expressed as numbers and percentages, and quantitative variables as means and standard deviations. Statistical tests were used according to their applicability criteria. For all tests, the significance threshold was set at 0.05. Results: A total of 150 patients were consulted, constituting the sample size. The prevalence of depression and suicidal risk was 32%. These patients had an average age of 42.83 ± 10.24 years, were female (n = 101;67.3%), Christian (n = 97;64%), single (n = 68;45.3%). Stigmatization (n = 75;50%) was the reason for attempted suicide. HIV was perceived as treatable (n = 103;68.7%), unlucky (n = 62;41.3%). Patients were WHO stage 1 (n = 105;70%). RS was present in 47 cases (31.3%). Factors associated with depression and suicidal risk were age (p = 0.000), residence (p = 0.028), suicide attempt (p = 0.000), desire to procreate (p = 0.000) and ARV (antiretrovirals) side effects (p Conclusion: The prevalence of depression and suicidal risk was high, in line with stigma and socio-economic conditions. The associated factors were in line with those identified in the literature. Mental health needs to be integrated into the overall care of people living with HIV.

Handheld bedside ultrasound in the diagnosis of myocarditis

Myocarditis is a disease process that every emergency physician fears missing.Its severity can be mild to life-threatening,and many cases are likely undetected because they are subclinical with nonspecifi c signs.[1]Subtle cardiac signs may be overshadowed by systemic symptoms of the underlying infectious process.Fever,myalgias,lethargy,symptoms commonly associated with viral syndrome,can mask the life-threatening myocarditis that may be present.In fact,in the United States Myocarditis Treatment Trial,almost 90%of patients reported symptoms consistent with a viral prodrome.[2]Ammirati et al[3]reported that 27%of patients with myocarditis had either reduced left ventricular ejection fraction,ventricular arrhythmias,or low cardiac output.Here,we present a case report,in which handheld point-of-care ultrasound was utilized at the bedside to aid in the critical diagnosis of myocarditis.With the additional information provided through this imaging modality,this patient was able to be transferred to the appropriate tertiary care facility in an expeditious manner and receive possible defi nitive treatment.

Value of procalcitonin and presepsin in the diagnosis and severity stratification of sepsis and septic shock

Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection.[1,2]Septic shock,the most severe form of sepsis,is characterized by circulatory and cellular/metabolic abnormalities,and can increase mortality to>40%.[1-3]Early recognition and risk stratification of septic shock are crucial but challenging because of the heterogeneity of its presentation and progression.

Chinese Guidelines for the Diagnosis and Management of Atrial Fibrillation

Atrial fibrillation(AF)is the most common sustained cardiac arrhythmia,significantly impacting patients’quality of life and increasing the risk of death,stroke,heart failure,and dementia.Over the past two decades,there have been significant breakthroughs in AF risk prediction and screening,stroke prevention,rhythm control,catheter ablation,and integrated management.During this period,the scale,quality,and experience of AF management in China have greatly improved,providing a solid foundation for the development of guidelines for the diagnosis and management of AF.To further promote standardized AF management,and apply new technologies and concepts to clinical practice in a timely and comprehensive manner,the Chinese Society of Cardiology of the Chinese Medical Association and the Heart Rhythm Committee of the Chinese Society of Biomedical Engineering have jointly developed the Chinese Guidelines for the Diagnosis and Management of Atrial Fibrillation.The guidelines have comprehensively elaborated on various aspects of AF management and proposed the CHA2DS2-VASc-60 stroke risk score based on the characteristics of AF in the Asian population.The guidelines have also reevaluated the clinical application of AF screening,emphasized the significance of early rhythm control,and highlighted the central role of catheter ablation in rhythm control.

Automatic recognition of depression based on audio and video:A review

Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.

Depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media text.This study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the corpus.Furthermore,an algorithm is developed to annotate the data into three depression classes:‘Mild,’‘Moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic criteria.Different baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the corpus.Further FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to baselines.Finally,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual performances.The proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText alone.The proposed model better captures the contextual features of the relatively small sample class and aids in the detection of early depression intensity prediction from tweets with impactful performances.

Activatable fluorescent probes for imaging and diagnosis of rheumatoid arthritis

Rheumatoid arthritis(RA)is a systemic autoimmune disease that is primarily manifested as synovitis and polyarticular opacity and typically leads to serious joint damage and irreversible disability,thus adversely affecting locomotion ability and life quality.Consequently,good prognosis heavily relies on the early diagnosis and effective therapeutic monitoring of RA.Activatable fluorescent probes play vital roles in the detection and imaging of biomarkers for disease diagnosis and in vivo imaging.Herein,we review the fluorescent probes developed for the detection and imaging of RA biomarkers,namely reactive oxygen/nitrogen species(hypochlorous acid,peroxynitrite,hydroxyl radical,nitroxyl),pH,and cysteine,and address the related challenges and prospects to inspire the design of novel fluorescent probes and the improvement of their performance in RA studies.

Circular RNAs in breast cancer diagnosis,treatment and prognosis

Breast cancer has surpassed lung cancer to become the most common malignancy worldwide.The incidence rate and mortality rate of breast cancer continue to rise,which leads to a great burden on public health.Circular RNAs(circRNAs),a new class of noncoding RNAs(ncRNAs),have been recognized as important oncogenes or suppressors in regulating cancer initiation and progression.In breast cancer,circRNAs have significant roles in tumorigenesis,recurrence and multidrug resistance that are mediated by various mechanisms.Therefore,circRNAs may serve as promising targets of therapeutic strategies for breast cancer management.This study reviews the most recent studies about the biosynthesis and characteristics of circRNAs in diagnosis,treatment and prognosis evaluation,as well as the value of circRNAs in clinical applications as biomarkers or therapeutic targets in breast cancer.Understanding the mechanisms by which circRNAs function could help transform basic research into clinical applications and facilitate the development of novel circRNA-based therapeutic strategies for breast cancer treatment.

A Study on the Correlation between Salivary Cortisol Content and Anxiety and Depression in Pregnant and Postpartum Women

Objective: To analyze the correlation between salivary cortisol content and anxiety and depression in pregnant and postpartum women. Method: 300 pregnant and postpartum women who were admitted from January 2021 to December 2021 were selected as the research subjects. They were all tested with the Hamilton Anxiety Scale (HAMA) and the Edinburgh Postnatal Depression Scale (EPDS). 40 pregnant women with anxiety and depression were selected as the observation group, and 50 normal pregnant women were selected as the control group, adopting logistic regression analysis to investigate the correlation between salivary cortisol and postpartum anxiety and depression during pregnancy. Result: The salivary cortisol levels in the observation group were significantly higher than those in the control group before bedtime, after waking up the next day, 15 minutes after waking up, 30 minutes after waking up, 60 minutes after waking up, and 1 hour before lunch (p < 0.05). Maternal depression and anxiety were not related to age, weight, gestational age, negative events, or history of adverse pregnancy and childbirth (p > 0.05). Maternal depression and anxiety are closely related to salivary cortisol levels and educational background (p Conclusion: There is a close correlation between anxiety and depression and an increase in cortisol levels, suggesting that the salivary cortisol awakening response during pregnancy has a predictive effect on the occurrence of postpartum depression.

Prevalence and Associated Factors of Postpartum Depression: A Study Conducted in Health Centres in Dakar (Senegal)

Introduction: Postpartum depression is the most common psychiatric disorder affecting women in the perinatal period. According to the WHO, it affects 10% - 15% of women who have just given birth. In Africa, and particularly in Senegal, epidemiological studies focusing exclusively on postpartum depression are rare or non-existent. For this reason, we conducted this screening study on postpartum depression to assess the socio-demographic characteristics and associated factors. Methods: This was a prospective cross- sectional study with descriptive and analytical aims. It was carried out in the twelve Dakar referral health centres during the period August 2021 to June 2022. Results: At the end of our survey we had recruited one hundred and twenty-two (122) participants with a PPD prevalence rate of 25.41%. The most common age group was 24 - 29 years. 40% of the participants were of Fulani ethnicity, followed by Wolof. Married women made up 93% of the sample. The school enrolment rate was 89%. Most participants were not in paid employment. Domestic violence was present in 14% of couples. 28% of mothers reported experiencing a stressful life event during their pregnancy. 22% of the women had a chronic medical condition, of which 55% had high blood pressure. 1% of the women reported a personal psychiatric history and 5% a family psychiatric history. Most women had between two and four healthy living children. The pregnancy was unwanted in 17% of cases and 12% of participants had a complication. 6% were dissatisfied with the quality of their antenatal care. The caesarean section rate was 18%. In terms of associated factors, eight factors were identified in a bivariate analysis: single marital status, lack of support from partner, domestic violence, conflict with in-laws, and the occurrence of a stressful life event during pregnancy, the presence of a personal medical history, lack of satisfaction with pregnancy follow-up, and mode of delivery by caesarean section. Conclusion: Our study showed the high prevalence of PPD (25.41%) and identified associated risk factors. Among these factors, two were strongly associated with postpartum depression: lack of satisfaction with pregnancy care and experiencing a stressful life event during pregnancy. Systematic screening or identification of risk factors during pregnancy is necessary for comprehensive treatment based on a biopsychosocial approach.

Laser spectroscopy imaging technique coupled withnanomaterials for cancer diagnosis: A review

Laser spectroscopic imaging techniques have received tremendous attention in the-eld of cancer diagnosis due to their high sensitivity,high temporal resolution,and short acquisition time.However,the limited tissue penetration of the laser is still a challenge for the in vivo diagnosis of deep-seated lesions.Nanomaterials have been universally integrated with spectroscopic imaging techniques for deeper cancer diagnosis in vivo.The components,morphology,and sizes of nanomaterials are delicately designed,which could realize cancer diagnosis in vivo or in situ.Considering the enhanced signal emitting from the nanomaterials,we emphasized their combination with spectroscopic imaging techniques for cancer diagnosis,like the surface-enhanced Raman scattering(SERS),photoacoustic,fluorescence,and laser-induced breakdown spectroscopy(LIBS).Applications ofthe above spectroscopic techniques offer new prospectsfor cancer diagnosis.