The Response of the Urinary Microbiome to Botox.
Abstract
[INTRODUCTION AND HYPOTHESIS] Our objective was to evaluate if botox alters the urinary microbiome of patients with overactive bladder and whether this alteration is predictive of treatment response.
[METHODS] This multicenter prospective cohort study included 18-89-year-old patients undergoing treatment for overactive bladder with 100 units of botox. Urine samples were collected by straight catheterization on the day of the procedure (S1) and again 4 weeks later (S2). Participants completed the Patient Global Impression of Improvement form at their second visit for dichotomization into responders and nonresponders. The microbiome was sequenced using 16s rRNA sequencing. Wilcoxon signed rank and Wilcoxon rank sum were used to compare the microbiome, whereas chi-square, Wilcoxon rank sum, and the independent t-test were utilized for clinical data.
[RESULTS] Sixty-eight participants were included in the analysis. The mean relative abundance and prevalence of Beauveria bassiana, Xerocomus chrysenteron, Crinipellis zonata, and Micrococcus luteus were all found to increase between S1 and S2 in responders; whereas in nonresponders the mean relative abundance and prevalence of Pseudomonas fragi were found to decrease. The MRA and prevalence of Weissella cibaria, Acinetobacter johnsonii, and Acinetobacter schindleri were found to be greater in responders than nonresponders at the time of S1. Significant UM differences in the S1 of patients who did (n = 5) and did not go on to develop a post-treatment UTI were noted.
[CONCLUSIONS] Longitudinal urobiome differences may exist between patients who do and do not respond to botox.
[METHODS] This multicenter prospective cohort study included 18-89-year-old patients undergoing treatment for overactive bladder with 100 units of botox. Urine samples were collected by straight catheterization on the day of the procedure (S1) and again 4 weeks later (S2). Participants completed the Patient Global Impression of Improvement form at their second visit for dichotomization into responders and nonresponders. The microbiome was sequenced using 16s rRNA sequencing. Wilcoxon signed rank and Wilcoxon rank sum were used to compare the microbiome, whereas chi-square, Wilcoxon rank sum, and the independent t-test were utilized for clinical data.
[RESULTS] Sixty-eight participants were included in the analysis. The mean relative abundance and prevalence of Beauveria bassiana, Xerocomus chrysenteron, Crinipellis zonata, and Micrococcus luteus were all found to increase between S1 and S2 in responders; whereas in nonresponders the mean relative abundance and prevalence of Pseudomonas fragi were found to decrease. The MRA and prevalence of Weissella cibaria, Acinetobacter johnsonii, and Acinetobacter schindleri were found to be greater in responders than nonresponders at the time of S1. Significant UM differences in the S1 of patients who did (n = 5) and did not go on to develop a post-treatment UTI were noted.
[CONCLUSIONS] Longitudinal urobiome differences may exist between patients who do and do not respond to botox.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | botox
|
보툴리눔독소 주사 | dict | 4 | |
| 해부 | Urinary Microbiome
|
scispacy | 1 | ||
| 해부 | bladder
|
scispacy | 1 | ||
| 해부 | Beauveria bassiana
|
scispacy | 1 | ||
| 해부 | Xerocomus chrysenteron
|
scispacy | 1 | ||
| 해부 | Micrococcus luteus
|
scispacy | 1 | ||
| 해부 | fragi
|
scispacy | 1 | ||
| 해부 | Weissella cibaria
|
scispacy | 1 | ||
| 약물 | [INTRODUCTION AND
|
scispacy | 1 | ||
| 약물 | [RESULTS] Sixty-eight participants were
|
scispacy | 1 | ||
| 약물 | [CONCLUSIONS] Longitudinal
|
scispacy | 1 | ||
| 질환 | overactive bladder
|
C0878773
Overactive Bladder
|
scispacy | 1 | |
| 질환 | Acinetobacter johnsonii
|
C0314790
Acinetobacter johnsonii
|
scispacy | 1 | |
| 기타 | patients
|
scispacy | 1 | ||
| 기타 | Patient
|
scispacy | 1 | ||
| 기타 | zonata
|
scispacy | 1 |
MeSH Terms
Humans; Adolescent; Young Adult; Adult; Middle Aged; Aged; Aged, 80 and over; Botulinum Toxins, Type A; Urinary Bladder, Overactive; Prospective Studies; RNA, Ribosomal, 16S; Microbiota
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