Background
The antibacterial effects of psychotropics may be part of their pharmacological effects when treating depression. However, limited studies have focused on gut microbiota in relation to prescribed medication.
Method
We longitudinally investigated the relationship between patients’ prescribed medications and intestinal bacterial diversity in a naturalistic treatment course for patients with major depressive disorders and anxiety disorders. Patients were recruited and their stool was collected at three time points during their usual psychiatric treatments. Gut microbiota were analyzed using 16S rRNA gene sequencing. We examined the impact of psychotropics (i.e., antidepressants, anxiolytics, antipsychotics) on their gut microbial diversity and functions.
Result
We collected 246 stool samples from 40 patients. Despite no differences in microbial diversity between medication groups at the baseline, over the course of treatment, phylogenic diversity (PD) whole tree diversity decreased in patients on antipsychotics compared to patients without (p=0.027), and beta diversity followed this trend. Based on a fixed-effect model, antipsychotics predicted microbial diversity; the higher doses correlated with less diversity based on the Shannon index and PD whole tree (Estimate = -0.00254, SE = 0.000595, p < 0.0001; Estimate = -0.02644, SE = 0.00833, p = 0.002, respectively).
Conclusion
Antipsychotics may play a role in decreasing the alpha diversity of the gut microbiome among patients with depression and anxiety, and our results indicate a relationship with medication dosage. Future studies are warranted and should consider patients’ types and doses of antipsychotics in order to further elucidate the mechanisms of gut-brain interactions in psychiatric disorders.
Behavioral problems directly affect the quality of life of caregivers and children with autism spectrum disorder (ASD) and/or attention‐deficit/hyperactivity disorder (ADHD), and is known to be associated with clinical factors such as gastrointestinal (GI) symptoms, sensory abnormalities, intellectual abilities, and use of medication. However, previous studies have not considered these relationships comprehensively. We conducted a cross‐sectional study of 6–12‐year‐old children with diagnoses of ASD and/or ADHD at two hospitals in Japan. Scores for the aberrant behavior checklist (ABC), autism‐spectrum quotient (AQ), and Conners 3, as well as information on daily sleep and exercise, GI symptoms, and Short Sensory Profile, were collected. Each factor was subjected to a correlation analysis to investigate its effect on ABC scores. A stepwise multiple linear regression analysis for the factors with p < 0.05 was performed. Data were obtained from 60 patients with a mean age of 8.3 years; 21 had ASD alone, 18 had ADHD alone, and 21 had ASD + ADHD. The correlation analyses identified six factors associated with ABC severity: (a) methylphenidate use, (b) Conners hyperactivity score, (c) Conners inattention score, (d) AQ score, (e) SSP score, and (f) GI symptom score. The multiple regression showed that “GI symptoms” and “sensory abnormalities” were independently associated with ABC severity. Although further studies are needed to show a causal relationship, appropriate assessment of GI symptoms and sensory abnormalities may help alleviate some problematic behaviors and improve the quality of life of children with neurodevelopmental disorders and their families.
Lay summary
Behavioral problems in children with neurodevelopmental disorders are known to be associated with many factors. This study aimed to comprehensively investigate the known factors. We have discovered that “gastrointestinal symptoms” and “sensory abnormalities” were independently associated with Behavioral problems. Our results suggest that it is important for clinicians and caregivers to pay more attention to children's GI symptoms and sensory abnormalities that may not present as obvious symptoms or complaints.
We aimed to investigate the impact of aging on the relationship among the composition of gut microbiota, gastrointestinal (GI) symptoms, and the course of treatment for major depressive disorder (MDD) by analyzing the datasets from our previous study. Patients with MDD were recruited, and their stools were collected at three time points (baseline, midterm, and endpoint) following the usual antidepressant treatment. Gut microbiota were analyzed using 16S rRNA gene sequencing. Patients were categorized into two groups based on their age: the late-life group over 60 years and the middle-aged group under 60 years. GI symptoms were assessed with scores of item 11 of the Hamilton Anxiety Rating Scale. One hundred and ninety samples were collected from 32 patients with MDD. Several gut microbes had higher relative abundances in the late-life group than in the middle-aged group. In addition, the late-life group showed significantly higher diversity in the Chao1 index at baseline compared with the middle-aged group. We further found possible microbial taxa related to GI symptoms in patients with late-life depression. The abundance of several bacterial taxa may contribute to GI symptoms in the late-life depression, and our findings suggest that the therapeutic targets for the application of gut microbiota may differ depending on the age group of patients with depression.
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