The influence of gut microbiome on progression of overactive bladder symptoms: a community-based 3-year longitudinal study in Aomori, Japan

Association of diarrhea or constipation with urinary incontinence in adults: A cross-sectional analysis of the National Health and Nutrition Examination Survey

AIMS

This study aimed to investigate the association between diarrhea or constipation and urinary incontinence (UI) in adults.

METHODS

Data from the National Health and Nutrition Examination Survey for 2009-2010 was used to include 4686 adults aged 20 and over in the analysis. Stress urinary incontinence (SUI) and urgency urinary incontinence (UUI) were used as outcome variables, with diarrhea and constipation as exposure factors. We first compared the baseline characteristics of those with and without SUI, as well as those with and without UUI. The impact of diarrhea or constipation on SUI and UUI was assessed using multivariate logistic regression models. To ensure the stability of the results, subgroup and stratified analyses were conducted.

RESULTS

The prevalence rates of UUI and SUI were 22.49% and 23.39%, respectively. Adjusted multivariate logistic regression analysis revealed that the risk of UUI was increased by either diarrhea (OR 1.66, 95% CI 1.36-2.04) or constipation (OR 1.42, 95% CI 1.11-1.83). The risk of SUI was also elevated by either diarrhea (OR 1.36, 95% CI 1.11-1.67) or constipation (OR 1.32, 95% CI 1.06-1.63). Subgroup analysis revealed no significant differences in the interaction tests between constipation or diarrhea and UI.

CONCLUSIONS

This study found that both constipation and diarrhea increase the risk of UUI and SUI.

Causal effects of gut microbiota on risk of overactive bladder symptoms: a two-sample Mendelian randomization study

Background

Clinical observations indicate a correlation between the gut microbiota and overactive bladder (OAB) symptoms. Nevertheless, the causal relationship and mechanisms between gut microbiota and OAB symptoms remain elusive.

Methods

Two-sample Mendelian randomization (MR) analyses were performed to assess the association between gut microbiota and OAB symptoms, including urinary incontinence (UI). Data were obtained from the MiBioGen International Consortium genome-wide association studies (GWAS) dataset and the IEU GWAS database. The inverse variance weighted method was used as the primary approach in the MR analysis, with the weighted median, MR-Egger, and weighted mode methods as supplementary approaches. Sensitivity analyses were employed to assess potential violations of the MR assumptions.

Results

Our analysis identified seven gut bacterial taxa with a causal relationship to OAB and nine gut bacterial taxa associated with UI. Genera Eubacteriumfissicatenumgroup, LachnospiraceaeNK4A136group, and Romboutsia were identified as protective factors against OAB, while genera Barnesiella, FamilyXIIIAD3011group, Odoribacter, and RuminococcaceaeUCG005 were associated with an increased risk of OAB. A higher abundance of the genus Coprococcus3, order Burkholderiales, and phylum Verrucomicrobia predicted a lower risk of UI. Conversely, the class Mollicutes, genus Ruminococcus gauvreauii group, order Mollicutes RF9, and phylum Firmicutes and Tenericutes were positively correlated with UI risk. The sensitivity analysis excluded the influence of potential heterogeneity and horizontal pleiotropy.

Conclusion

This study revealed a causal relationship between gut microbiota and OAB symptoms, providing new insights and a theoretical foundation to identify biomarkers and therapeutic targets for patients with OAB symptoms.

How do we make progress in phenotyping patients with LUT such as OAB and underactive detrusor, including using urine markers and microbiome data, in order to personalize therapy? ICI-RS 2023: Part 1

INTRODUCTION

Overactive bladder (OAB) and Underactive bladder (UAB) could be associated with metabolic syndrome, affective disorders, sex hormone deficiency, changes in urinary microbiota, functional gastrointestinal disorders, or autonomic nervous system dysfunction.

OBJECTIVES

The aim of this Think Tank was to provide a guide on how to investigate OAB and/or detrusor underactivity (DU) patients to better clarify the underlying pathophysiology and possibly personalize the treatment.

METHODS

A compendium of discussion based on the current evidence related to phenotyping patients with OAB or DU investigating metabolic, neurogical, psychological and gastrointestinal aspects with the aim to personalize the treatment.

RESULTS AND CONCLUSIONS

The article emphasizes the critical significance of adopting a comprehensive yet tailored approach to phenotyping patients with lower urinary tract symptoms, such as OAB and UAB. The intricate interplay between the lower urinary tract and various factors, metabolic, neurological, psychological, and gastrointestinal can define unique LUT profiles, enabling personalized therapies to replace the one-size-fits-all approach.

Systematic analysis of microorganisms' metabolism for selective targeting

Selective drugs with a relatively narrow spectrum can reduce the side effects of treatments compared to broad-spectrum antibiotics by specifically targeting the pathogens responsible for infection. Furthermore, combating an infectious pathogen, especially a drug-resistant microorganism, is more efficient by attacking multiple targets. Here, we combined synthetic lethality with selective drug targeting to identify multi-target and organism-specific potential drug candidates by systematically analyzing the genome-scale metabolic models of six different microorganisms. By considering microorganisms as targeted or conserved in groups ranging from one to six members, we designed 665 individual case studies. For each case, we identified single essential reactions as well as double, triple, and quadruple synthetic lethal reaction sets that are lethal for targeted microorganisms and neutral for conserved ones. As expected, the number of obtained solutions for each case depends on the genomic similarity between the studied microorganisms. Mapping the identified potential drug targets to their corresponding pathways highlighted the importance of key subsystems such as cell envelope biosynthesis, glycerophospholipid metabolism, membrane lipid metabolism, and the nucleotide salvage pathway. To assist in the validation and further investigation of our proposed potential drug targets, we introduced two sets of targets that can theoretically address a substantial portion of the 665 cases. We expect that the obtained solutions provide valuable insights into designing narrow-spectrum drugs that selectively cause system-wide damage only to the target microorganisms.

The Study of Microbiome of the Female Genital Area in Relation to Pelvic Floor Dysfunction: A Systematic Review

INTRODUCTION AND HYPOTHESIS

The aim of this article is to present a systematic literature review focused on microbiome diversity in women experiencing pelvic floor dysfunction.

METHODS

Utilizing PubMed/MedLine and Scopus, 25 pertinent studies were meticulously selected for this review.

RESULTS

A key theme identified is the potential of microbiomes as diagnostic tools. The findings consistently highlight Lactobacillus as recurrent microbiota. Additionally, Gardnerella, Streptococcus, Prevotella, Aerococcus, Staphylococcus, Proteus, and Bifidobacterium species were frequently observed. This suggests the influential role of these microorganisms in shaping female urological and reproductive health. A deeper understanding of these predominant bacterial genera could offer invaluable insights into healthy physiological states and various disorders. The complex relationship between microbial compositions and diverse health conditions paves the way for novel diagnostic and therapeutic approaches. As we further explore the complexities of microbiomes, their role becomes increasingly crucial in transforming women's health care.

CONCLUSIONS

These findings emphasize the need for personalized care, integrating the microbiome into a comprehensive health assessment and treatment framework. This review lays the groundwork for future medical strategies where the microbiome is a pivotal element in both preventive and therapeutic care.

Association between oral frailty and lower urinary tract symptoms among middle-aged and older adults in community-dwelling individuals: a cross-sectional study

PURPOSE

We assessed the association between oral frailty risk and LUTS among middle-aged and older adults in a community-dwelling population.

METHODS

This cross-sectional study was conducted among 586 subjects aged ≥ 40 years who participated in the Iwaki Health Promotion Project in Hirosaki, Japan. We used the International Prostate Symptom Score (IPSS) and the Overactive Bladder Symptom Score (OABSS) to assess LUTS. LUTS was defined as an IPSS score of 8 or higher or meeting diagnostic criteria for OAB. Oral frailty risk was defined as experiencing two or more of the following: decreased chewing ability, decreased biting force, and dry mouth sensation. Physical performance (10-m gait speed and grip strength) was used for analysis. The association between oral frailty risk and LUTS was examined using multivariate logistic regression analyses.

RESULTS

The study included 218 men and 370 women, of whom 140 had LUTS. The mean age of this cohort was 59 years. Significant differences were observed between the LUTS and non-LUTS groups, including age, hypertension, history of CVD, depressive status, sleep disturbance, and 10 m gait speed. The prevalence of oral frailty risk was significantly higher in the LUTS group than in the non-LUTS group (26% vs. 11%, P < 0.001). Multivariate analysis revealed that age, male gender, and oral frailty risk (odds ratio: 2.67, 95% confidence interval: 1.57-4.51, P < 0.001) were independent factors for LUTS. Moreover, oral frailty risk was an independent factor in both participants aged < 65 years and participants aged ≥ 65 years.

CONCLUSIONS

Oral frailty was independently associated with LUTS.

Microbiome in urological diseases: Axis crosstalk and bladder disorders

Since the identification of the human urinary microbiome, numerous studies have characterized this microbial community and improved our knowledge of its association with urinary diseases. This association between urinary diseases and microbiota is not confined to the urinary microbiota; it is interconnected with the microbiota of other organs. The gastrointestinal, vaginal, kidney, and bladder microbiota all affect urinary diseases because they work with their respective organs to control the growth and operation of the immune, metabolic, and nervous systems through dynamic bidirectional communication along the bladder-centered axis. Therefore, disturbances in the microbial communities may result in the emergence of urinary diseases. In this review, we describe the increasing and intriguing evidence of complicated and critical relationships that may contribute to the development and progression of urinary diseases through disruption of the microbiota in various organs.

A Prescribing Cascade of Proton Pump Inhibitors Following Anticholinergic Medications in Older Adults With Dementia

Introduction: Prescribing cascade refers to use of a medication to treat a drug-related adverse event. Prescribing cascades increase medication use, cost, and risk of adverse events.

Objective: Our objective was to use administrative health data to identify whether use of medications from the anticholinergic cognitive burden scale was associated with proton pump inhibitor (PPI) prescribing consistent with a prescribing cascade in older adults with dementia.

Method: The cohort was comprised of Nova Scotia Seniors’ Pharmacare beneficiaries identified to have dementia and medication dispensation data recorded between 1 April 2010, or cohort entry and 31 March 2015. Anticholinergic medications from the anticholinergic cognitive burden scale (ACB) were abstracted. A look back period of 365 days identified if a PPI had been dispensed preceding anticholinergic dispensation. PPI initiation within 30, 60, 90, or 180 days of the anticholinergic medication was assessed. Demographic description of those dispensed anticholinergic medications or PPIs were reported. Risk factors for the prescribing cascade were investigated with logistic regression and Cox proportional hazards modelling including a sex-stratified analysis.

Results: We identified 28,952 Nova Scotia Seniors’ Pharmacare beneficiaries with dementia and prescription dispensation data. Anticholinergic medications were frequently dispensed with 63.4% of the cohort dispensed at least one prescription for an anticholinergic medication. The prescribing cascade defined as up to 180-days between anticholinergic medication inititation and PPI dispensation, occurred in 1,845 Nova Scotia Seniors’ Pharmacare beneficiaries with dementia (incidence 6.4%). Multivariate regression showed those experiencing the prescribing cascade after initiating any anticholinergic were younger (OR 0.98, 95%CI [0.97–0.98]), less likely to live in an urban location (OR 0.82, 95%CI [0.74–0.91]), or to be men (OR 0.74, 95%CI [0.67–0.82]). Cox regression demonstrated an increased risk of starting a PPI within 180 days when initiating any medication from the ACB (HR 1.38, 95%CI [1.29–1.58]).

Discussion: Regression modelling suggested that anticholinergic medications increased the risk of PPI dispensation consistent with a prescribing cascade in the cohort. The identification of the prescribing cascade in this population of older Nova Scotia Seniors’ Pharmacare Program beneficiaries with dementia using administrative health data highlights how routinely collected health data can be used to identify prescribing cascades.

Using Microbiome-Based Approaches to Deprogram Chronic Disorders and Extend the Healthspan following Adverse Childhood Experiences

Adverse childhood experiences (ACEs), which can include child trafficking, are known to program children for disrupted biological cycles, premature aging, microbiome dysbiosis, immune-inflammatory misregulation, and chronic disease multimorbidity. To date, the microbiome has not been a major focus of deprogramming efforts despite its emerging role in every aspect of ACE-related dysbiosis and dysfunction. This article examines: (1) the utility of incorporating microorganism-based, anti-aging approaches to combat ACE-programmed chronic diseases (also known as noncommunicable diseases and conditions, NCDs) and (2) microbiome regulation of core systems biology cycles that affect NCD comorbid risk. In this review, microbiota influence over three key cyclic rhythms (circadian cycles, the sleep cycle, and the lifespan/longevity cycle) as well as tissue inflammation and oxidative stress are discussed as an opportunity to deprogram ACE-driven chronic disorders. Microbiota, particularly those in the gut, have been shown to affect host–microbe interactions regulating the circadian clock, sleep quality, as well as immune function/senescence, and regulation of tissue inflammation. The microimmunosome is one of several systems biology targets of gut microbiota regulation. Furthermore, correcting misregulated inflammation and increased oxidative stress is key to protecting telomere length and lifespan/longevity and extending what has become known as the healthspan. This review article concludes that to reverse the tragedy of ACE-programmed NCDs and premature aging, managing the human holobiont microbiome should become a routine part of healthcare and preventative medicine across the life course.