Evidence map›Paper›PMID 38870276›Full record

ArticleThe Journal of clinical endocrinology and metabolism2024

In-depth Microbiological Characterization of Urine From Subjects With Type 2 Diabetes.

Marco Calvigioni, Edoardo Biancalana, Diletta Mazzantini, Francesco Celandroni, Chiara Rossi, Alessandro Mengozzi, Emilia Ghelardi, Anna Solini

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marco CalvigioniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, I-56126 Pisa, Italy.
Edoardo BiancalanaDepartment of Clinical and Experimental Medicine, University of Pisa, I-56126 Pisa, Italy.
Diletta MazzantiniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, I-56126 Pisa, Italy.
Francesco CelandroniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, I-56126 Pisa, Italy.
Chiara RossiDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, I-56126 Pisa, Italy.
Alessandro MengozziDepartment of Clinical and Experimental Medicine, University of Pisa, I-56126 Pisa, Italy.
Emilia GhelardiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, I-56126 Pisa, Italy.
Anna SoliniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, I-56126 Pisa, Italy.ORCID 0000-0002-7855-8253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLower urinary tract symptoms (LUTS) are common in type 2 diabetes (T2D), affecting quality of life and potentially leading to medication discontinuation. Among various factors contributing to LUTS, recent observations suggest a critical role of the urinary microbiota. Research on urinary dysbiosis in T2D remains underexplored.

objectiveWe conducted a pilot study to investigate differences in the urinary microbiota between patients with T2D and healthy individuals and its potential indirect association with LUTS risk.

methodsThis case-control study included 50 patients with T2D and no LUTS, and 25 healthy controls. Microbial DNAs were extracted from urinary sediments and bacterial populations quantified by real-time quantitative polymerase chain reaction (PCR) and qualitatively investigated by 16S rRNA gene sequencing. Validation experiments with digital PCR were also performed.

resultsIn patients with T2D a higher total bacterial load and an increased abundance of Bacillota were found. After stratification by gender, these results were observed only in women. However, no significant quantitative differences were observed at the genus level. Alpha diversity analysis showed no significant differences between T2D and control groups, or by gender. At the species level, a substantial qualitative and often gender-dependent shift was present in individuals with T2D.

conclusionThe urinary microbiome of subjects with T2D was found to be different from that of healthy controls. Specifically, patients with T2D displayed higher total bacterial load and Bacillota levels, as well as qualitative changes in bacterial species. These changes suggested a dysbiotic condition of the urinary microbiota of subjects with T2D, with some gender-related differences. Although causality cannot be inferred, these findings highlight the impact of T2D on the urinary microbiota and its potential relevance in developing LUTS and, from a broader perspective, metabolic abnormalities.

Indexed as

Diabetes Mellitus, Type 2Lower Urinary Tract SymptomsMicrobiotaAdultAgedBacteriaCase-Control StudiesDysbiosisFemaleHumansMaleMiddle AgedPilot ProjectsRNA, Ribosomal, 16SUrineRNA, Ribosomal, 16SBacillotatype 2 diabetesurinary microbioma

Identifiers

PMID38870276
PMCPMC11651686

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.