scholarly journals Effect of Lacticaseibacillus paracasei Strain Shirota on Improvement in Depressive Symptoms, and Its Association with Abundance of Actinobacteria in Gut Microbiota

2021 ◽  
Vol 9 (5) ◽  
pp. 1026
Author(s):  
Machiko Otaka ◽  
Hiroko Kikuchi-Hayakawa ◽  
Jun Ogura ◽  
Hiroshi Ishikawa ◽  
Yukihito Yomogida ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Gut Microbiota ◽  
Intestinal Permeability ◽  
Rating Scale ◽  
Psychiatric Symptoms ◽  
Daily Intake ◽  
Probiotic Strain ◽  
Major Depressive ◽  
Colony Forming Units ◽  
And Biological Markers

We previously reported lower counts of lactobacilli and Bifidobacterium in the gut microbiota of patients with major depressive disorder (MDD), compared with healthy controls. This prompted us to investigate the possible efficacy of a probiotic strain, Lacticaseibacillus paracasei strain Shirota (LcS; basonym, Lactobacillus casei strain Shirota; daily intake of 8.0 × 1010 colony-forming units), in alleviating depressive symptoms. A single-arm trial was conducted on 18 eligible patients with MDD or bipolar disorder (BD) (14 females and 4 males; 15 MDD and 3 BD), assessing changes in psychiatric symptoms, the gut microbiota, and biological markers for intestinal permeability and inflammation, over a 12-week intervention period. Depression severity, evaluated by the Hamilton Depression Rating Scale, was significantly alleviated after LcS treatment. The intervention-associated reduction of depressive symptoms was associated with the gut microbiota, and more pronounced when Bifidobacterium and the Atopobium clusters of the Actinobacteria phylum were maintained at higher counts. No significant changes were observed in the intestinal permeability or inflammation markers. Although it was difficult to estimate the extent of the effect of LcS treatment alone, the results indicated that it was beneficial to alleviate depressive symptoms, partly through its association with abundance of Actinobacteria in the gut microbiota.

Toward a transdiagnostic tool to evaluate depressive symptoms across mental disorders: Validation of the Calgary depression rating scale in patients with major depressive disorder

2018 ◽  
Vol 268 ◽  
pp. 68-71 ◽  
Author(s):  
Jean-Arthur Micoulaud-Franchi ◽  
Mélanie Faugere ◽  
Sebastien Weibel ◽  
Catherine Faget ◽  
Christophe Lancon ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Mental Disorders ◽  
Depressive Disorder ◽  
Rating Scale ◽  
Major Depressive

The problematic use of social networking sites associates with elevated symptoms in patients with major depressive disorder

2020 ◽  
Vol 66 (5) ◽  
pp. 496-503 ◽  
Author(s):  
Orkun Aydin ◽  
Fikret Poyraz Çökmüş ◽  
Kuzeymen Balikçi ◽  
Didem Sücüllüoğlu-Dikici ◽  
Pınar Ünal-Aydin
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Social Networking ◽  
Rating Scale ◽  
Health Workers ◽  
Well Being ◽  
Social Networking Site ◽  
Analysis Of Covariance ◽  
Major Depressive

Background: Although excessive use of social networking site (SNS) is related to undesired effects on healthy individual’s psychological well-being, there is a huge gap in studies performed with individuals who suffer from various mental disorders. Aim: The main goal of this study is to examine the association between problematic utilization of SNSs and depressive symptoms across patients diagnosed with major depressive disorder (MDD). Methods: 111 patients diagnosed with MDD (diagnoses confirmed via the Structured Clinical Interview for DSM-5–Clinician Version (SCID-5/CV)) and 108 healthy controls (HCs) were recruited for the study. Montgomery–Asberg Depression Rating Scale (MADRS) and Bergen Social Media Addiction Scale (BSMAS) were administered by both MDD and HC groups. Group comparisons were estimated with multivariate analysis of covariance (MANCOVA) analyses. To identify the relationship between SNS addiction and depressive symptoms, the Pearson correlations were performed, and finally, we computed the multiple linear regression analyses to determine whether SNS addiction predicts depressive symptoms. Results: The results revealed that MDD group is more addicted to SNS relative to HC. In addition, depressive symptoms were significantly predicted by ‘relapse’ subdimension and the overall score of SNS addiction in the MDD group. Conclusion: Our study illustrated the detrimental effects of excessive SNSs usage on depressive symptoms in MDD particularly for the individuals in ‘relapse’ state of SNS addiction. The mental health workers should consider the usage patterns of SNSs in patients diagnosed with MDD during their clinical observation and management.

scholarly journals Empirical evidence for definitions of episode, remission, recovery, relapse and recurrence in depression: a systematic review

2018 ◽  
Vol 28 (5) ◽  
pp. 544-562 ◽  
Author(s):  
P. L. de Zwart ◽  
B. F. Jeronimus ◽  
P. de Jonge
Keyword(s):  
Depressive Symptoms ◽  
Depressive Episode ◽  
Rating Scale ◽  
Driving Forces ◽  
Evidence Based ◽  
Limited Data ◽  
Major Depressive ◽  
The Past ◽  
Duration Threshold ◽  
Hamilton Rating Scale

Aims.For the past quarter of a century, Frank et al.’s (1991) consensus-based definitions of major depressive disorder (MDD) episode, remission, recovery, relapse and recurrence have been the paramount driving forces for consistency in MDD research as well as in clinical practice. This study aims to review the evidence for the empirical validation of Frank et al.’s proposed concept definitions and to discuss evidence-based modifications.Methods.A literature search of Web of Science and PubMed from 1/1/1991 to 08/30/2017 identified all publications which referenced Frank et al.’s request for definition validation. Publications with data relevant for validation were included and checked for referencing other studies providing such data.Results.A total of 56 studies involving 39 315 subjects were included, mainly presenting data to validate the severity and duration thresholds for defining remission and recovery. Most studies indicated that the severity threshold for defining remission should decrease. Additionally, specific duration thresholds to separate remission from recovery did not add any predictive value to the notion that increased remission duration alleviates the risk of reoccurrence of depressive symptoms. Only limited data were available to validate the severity and duration criteria for defining a depressive episode.Conclusions.Remission can best be defined as a less symptomatic state than previously assumed (Hamilton Rating Scale for Depression, 17-item version (HAMD-17) ⩽4 instead of ⩽7), without applying a duration criterion. Duration thresholds to separate remission from recovery are not meaningful. The minimal duration of depressive symptoms to define a depressive episode should be longer than 2 weeks, although further studies are required to recommend an exact duration threshold. These results are relevant for researchers and clinicians aiming to use evidence-based depression outcomes.

The Depressive Symptoms of Bulimia Nervosa

1986 ◽  
Vol 148 (3) ◽  
pp. 268-274 ◽  
Author(s):  
Peter J. Cooper ◽  
Christopher G. Fairburn
Keyword(s):  
Major Depressive Disorder ◽  
Eating Disorder ◽  
Depressive Symptoms ◽  
Bulimia Nervosa ◽  
Psychiatric Symptoms ◽  
Psychiatric Disturbance ◽  
Major Depressive ◽  
Patient Groups ◽  
State Examination ◽  
Discriminant Function Analyses

Standardised measures of mental state were used to compare patients with bulimia nervosa with those with major depressive disorder. The two groups were found to be similar in terms of severity of psychiatric disturbance, as measured by the Montgomery & Åsberg Scale and the Present State Examination. Noteworthy symptomatic differences were a greater frequency of obsessional ruminations and anxiety amongst the first group, and a greater frequency of depressed mood, apparent sadness, and suicidal ideation amongst the second. Discriminant function analyses revealed that the two patient groups had a different pattern of symptoms. Examination of the character of the psychiatric symptoms of patients with bulimia nervosa suggests that the anxiety and depressive symptoms are likely to be secondary to the eating disorder itself, rather than of primary significance.

scholarly journals The Role of the Gut Microbiota in the Development and Progression of Major Depressive and Bipolar Disorder

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 37
Author(s):  
Tom Knuesel ◽  
M. Hasan Mohajeri
Keyword(s):  
Bipolar Disorder ◽  
Depressive Symptoms ◽  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
Treatment Options ◽  
Twin Studies ◽  
Adjunctive Treatment ◽  
Major Depressive ◽  
Response Parameter ◽  
Health Promoting

A growing number of studies in rodents indicate a connection between the intestinal microbiota and the brain, but comprehensive human data is scarce. Here, we systematically reviewed human studies examining the connection between the intestinal microbiota and major depressive and bipolar disorder. In this review we discuss various changes in bacterial abundance, particularly on low taxonomic levels, in terms of a connection with the pathophysiology of major depressive and bipolar disorder, their use as a diagnostic and treatment response parameter, their health-promoting potential, as well as novel adjunctive treatment options. The diversity of the intestinal microbiota is mostly decreased in depressed subjects. A consistent elevation of phylum Actinobacteria, family Bifidobacteriaceae, and genus Bacteroides, and a reduction of family Ruminococcaceae, genus Faecalibacterium, and genus Roseburia was reported. Probiotics containing Bifidobacterium and/or Lactobacillus spp. seemed to improve depressive symptoms, and novel approaches with different probiotics and synbiotics showed promising results. Comparing twin studies, we report here that already with an elevated risk of developing depression, microbial changes towards a “depression-like” microbiota were found. Overall, these findings highlight the importance of the microbiota and the necessity for a better understanding of its changes contributing to depressive symptoms, potentially leading to new approaches to alleviate depressive symptoms via alterations of the gut microbiota.

scholarly journals Gut Microbiota and Depressive Symptoms at the End of CRT for Rectal Cancer: A Cross-Sectional Pilot Study

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Velda J. Gonzalez-Mercado ◽  
Jean Lim ◽  
Leorey N. Saligan ◽  
Nicole Perez ◽  
Carmen Rodriguez ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Radiation Therapy ◽  
Depressive Symptoms ◽  
Depressive Symptom ◽  
Pilot Study ◽  
Gut Microbiota ◽  
Rating Scale ◽  
Cross Sectional ◽  
Symptom Scores ◽  
Functional Pathways

Background. The role of alterations in gut microbiota composition (termed dysbiosis) has been implicated in the pathobiology of depressive symptoms; however, evidence remains limited. This cross-sectional pilot study is aimed at exploring whether depressive symptom scores changed during neoadjuvant chemotherapy and radiation therapy to treat rectal cancer, and if gut microbial taxa abundances and predicted functional pathways correlate with depressive symptoms at the end of chemotherapy and radiation therapy. Methods. 40 newly diagnosed rectal cancer patients (ages 28-81; 23 males) were assessed for depressive symptoms using the Hamilton Rating Scale for Depression (HAM-D) and provided stool samples for 16S rRNA sequencing. Gut microbiome data were analyzed using QIIME2, and correlations and regression analyses were performed in R. Results. Participants had significantly higher depressive symptoms at the end as compared to before CRT. The relative abundances of Gemella, Bacillales Family XI, Actinomyces, Streptococcus, Lactococcus, Weissella, and Leuconostocaceae were positively correlated (Spearman’s rho = 0.42 to 0.32), while Coprobacter, Intestinibacter, Intestimonas, Lachnospiraceae, Phascolarctobacterium, Ruminiclostridium, Ruminococcaceae (UCG-005 and uncultured), Tyzzerella, and Parasutterella (Spearman’s rho = − 0.43   to − 0.31 ) were negatively correlated with HAM-D scores. Of the 14 predicted MetaCyc pathways that correlated with depressive symptom scores at the end of CRT, 11 (79%) were associated with biosynthetic pathways. Conclusions. Significant bacterial taxa and predicted functional pathways correlated with depressive symptoms at the end of chemotherapy and radiation therapy for rectal cancer which warrants further examination and replication of our findings.

scholarly journals Importance of retardation and fatigue/interest domains for the diagnosis of major depressive episode after stroke: a four months prospective study

2009 ◽  
Vol 31 (3) ◽  
pp. 202-207 ◽  
Author(s):  
Luisa de Marillac Niro Terroni ◽  
Renério Fráguas ◽  
Mara de Lucia ◽  
Gisela Tinone ◽  
Patricia Mattos ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Depressive Episode ◽  
Major Depressive Episode ◽  
Rating Scale ◽  
University Hospital ◽  
Regression Equations ◽  
Stroke Patients ◽  
Major Depressive ◽  
Post Stroke ◽  
Neurology Clinic

OBJECTIVE: Post-stroke major depressive episode is very frequent, but underdiagnosed. Researchers have investigated major depressive episode symptomatology, which may increase its detection. This study was developed to identify the depressive symptoms that better differentiate post-stroke patients with major depressive episode from those without major depressive episode. METHOD: We screened 260 consecutive ischemic stroke patients admitted to the neurology clinic of a university hospital. Seventy-three patients were eligible and prospectively evaluated. We assessed the diagnosis of major depressive episode using the Structured Clinical Interview for DSM-IV and the profile of depressive symptoms using the 31-item version of the Hamilton Depression Rating Scale. For data analysis we used cluster analyses and logistic regression equations. RESULTS: Twenty-one (28.8%) patients had a major depressive episode. The odds ratio of being diagnosed with major depressive episode was 3.86; (95% CI, 1.23-12.04) for an increase of one unit in the cluster composed by the domains of fatigue/interest and retardation, and 2.39 (95% CI, 1.21-4.71) for an increase of one unit in the cluster composed by the domains of cognitive, accessory and anxiety symptoms. The domains of eating/weight and insomnia did not contribute for the major depressive episode diagnosis. CONCLUSION: The domains of retardation and interest/fatigue are the most relevant for the diagnosis of major depressive episode after stroke.

Network Analysis of Depressive Symptomatology in Elderly Patients with Major Depressive Disorder

2021 ◽  
Vol 17 ◽  
Author(s):  
Seon-Cheol Park
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Network Analysis ◽  
Depressive Disorder ◽  
Elderly Patients ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Depressive Mood ◽  
Major Depressive ◽  
Using Data

Background: A novel psychopathological approach is the application of network analysis, as it is proposed that symptoms and their interconnections constitute a disease itself, rather than simply being components or outcome factors of disease. Objective: Using data from the Clinical Research Center for Depression (CRESCEND) Study, this study examined depressive symptoms in elderly patients with major depressive disorder using a network analysis approach. Methods: Among 135 elderly patients with major depressive disorder who were recruited from the CRESCEND study, we created a network based on individual items from the Hamilton Depression Rating Scale (HAMD), with the nodes being each item (symptom) and the edges being the strength of the association between the items (interconnection). By calculating measures of centrality of each of the nodes, we were able to determine which depressive symptoms were most central (influential) in the network. Results: The insight item was completely unconnected with other items and it was excluded in terms of network analysis. Thus, a network analysis of the 16 HAMD items estimated that the anxiety psychic item was the most central domain, followed by insomnia (middle of the night), depressive mood, and insomnia (early hours of the morning) items. On the contrary, the retardation item was the most poorly interconnected with the network. Conclusion: We suggest that our study makes a significant contribution to the literature because we have found that anxiety, depressed mood, and insomnia are most central to the network, indicating that they are the most influential symptoms in major depression in elderly individuals.

Agomelatine versus escitalopram in major depressive disorders : a randomized double-blind, long term study focusing on sleep satisfaction and emotional blunting

2011 ◽  
Vol 26 (S2) ◽  
pp. 619-619 ◽  
Author(s):  
E. Corruble ◽  
C. Bélaidi ◽  
G.M. Goodwin
Keyword(s):  
Depressive Symptoms ◽  
Depressive Disorders ◽  
Rating Scale ◽  
Statistical Significance ◽  
Controlled Study ◽  
Major Depressive ◽  
Double Blind ◽  
Long Term Study ◽  
Long Term Treatment

The novel antidepressant agomelatine is a MT1/MT2 receptor agonist and a 5HT2c receptor antagonist, whose efficacy is demonstrated in Major Depressive Disorder (MDD) (1). In an international 24-week double-blind randomized controlled study, the effects of agomelatine 25–50 mg/d (n = 164) were compared to those of escitalopram 10-20 mg/d (n = 160) on satisfaction about sleep (Visual Analogic Scale), depressive symptoms (Hamilton Depression Rating Scale (HAM-D)) and emotions in a subset of 45 patients having completed the Oxford Depression Questionnaire (2).Both drugs improved depressive symptoms (mean decrease in HAM-D score from baseline: -19.9 with agomelatine and -19.2 with escitalopram; percentage of remitters: 69.6% with agomelatine and 63.1% with escitalopram, LOCF endpoint) and the satisfaction about sleep. Interestingly, the wellness feeling on waking was more improved with agomelatine as compared to escitalopram (p = 0.025), indicating a better alertness on waking with agomelatine than escitalopram.Moreover, emotional blunting was less frequent with agomelatine as compared to escitalopram: 28% on agomelatine vs 60% on escitalopram felt that their emotions lacked intensity with a trend to statistical significance (p = 0.063) and 16% of patients on agomelatine vs 53% on escitalopram felt that things that they cared about before illness did not seem important any more (p = 0.024). Finally, less patients withdrew due to emergent adverse events with agomelatine (4.3%) as compared to escitalopram (10.6%), (p = 0.029). To conclude, this study shows some potential clinical advantages of agomelatine as compared to escitalopram in the long term treatment of MDD.

Sign in / Sign up

Export Citation Format

Share Document