Interstitial cystitis (IC) is a clinical syndrome characterized by frequency, urgency, and bladder pain or pelvic pain; however, the underlying pathophysiological mechanisms and diagnostic markers are unknown. In this study, microbiome and metabolome analysis were used to explain the urine signatures of IC patients. Urine samples from 20 IC patients and 22 control groups were analyzed by using 16S rRNA sequence and liquid chromatography coupled with mass spectrometry. Four opportunistic pathogen genera, including Serratia, Brevibacterium, Porphyromonas, and Citrobacter, were significantly upregulated in IC group. The altered metabolite signatures of the metabolome may be related to sphingosine metabolism, amino acid metabolism, and fatty acid biosynthesis. Meanwhile, the associations were observed between different metabolites and microbiomes of IC. The present study suggests that the combined signatures of IC in urine microbiome and metabolome may become its prospective diagnostic markers.
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http://dx.doi.org/10.3389/fcimb.2021.711746 | DOI Listing |
Gut Microbes
December 2025
Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Hyperoxaluria, including primary and secondary hyperoxaluria, is a disorder characterized by increased urinary oxalate excretion and could lead to recurrent calcium oxalate kidney stones, nephrocalcinosis and eventually end stage renal disease. For secondary hyperoxaluria, high dietary oxalate (HDOx) or its precursors intake is a key reason. Recently, accumulated studies highlight the important role of gut microbiota in the regulation of oxalate homeostasis.
View Article and Find Full Text PDFWorld J Hepatol
January 2025
Interventional Therapy Center for Oncology, Beijing YouAn Hospital, Capital Medical University, Beijing 100069, China.
Background: The gut microbiome is associated with hepatic encephalopathy (HE), but research results on the gut microbiome characteristics of patients with liver cirrhosis with and without HE are inconsistent.
Aim: To study the gut microbiota characteristics of patients with liver cirrhosis with and without HE.
Methods: We searched the PubMed, Web of Science, EMBASE, and Cochrane databases using two keywords, HE, and gut microbiome.
Sci Rep
January 2025
BioResource Research Center, RIKEN, 3-1-1, Koyadai, Tsukuba, 305-0074, Ibaraki, Japan.
Omics data provide a plethora of quantifiable information that can potentially be used to identify biomarkers targeting the physiological processes and ecological phenomena of organisms. However, omics data have not been fully utilized because current prediction methods in biomarker construction are susceptible to data multidimensionality and noise. We developed OmicSense, a quantitative prediction method that uses a mixture of Gaussian distributions as the probability distribution, yielding the most likely objective variable predicted for each biomarker.
View Article and Find Full Text PDFGut
January 2025
Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
Background: Fasting-mimicking diet (FMD) boosts the antitumour immune response in patients with colorectal cancer (CRC). The gut microbiota is a key host immunity regulator, affecting physiological homeostasis and disease pathogenesis.
Objective: We aimed to investigate how FMD protects against CRC via gut microbiota modulation.
J Adv Res
January 2025
Proteomics and Metabolomics Unit, Basic Research Department, Children's Cancer Hospital, 57357 Cairo, (CCHE-57357), Egypt; Department of Physiology, Faculty of Veterinary Medicine, Suez Canal University, 41522 Ismailia, Egypt. Electronic address:
Introduction: Gut microbiota alterations have been implicated in Autism Spectrum Disorder (ASD), yet the mechanisms linking these changes to ASD pathophysiology remain unclear.
Objectives: This study utilized a multi-omics approach to uncover mechanisms linking gut microbiota to ASD by examining microbial diversity, bacterial metaproteins, associated metabolic pathways and host proteome.
Methods: The gut microbiota of 30 children with severe ASD and 30 healthy controls was analyzed.
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