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Fecal Metabolomics Reveals Distinct Profiles of Kidney Transplant Recipients and Healthy Controls.

ABSTRACT: Monitoring graft recipients remains dependent on traditional biomarkers and old technologies lacking specificity, sensitivity, or accuracy. Recently, metabolomics is becoming a promising approach that may offer to kidney transplants a more effective and specific monitoring. Furthermore, emerging evidence suggested a fundamental role of gut microbiota as an important determinant of patients' metabolomes. In the current study, we enrolled forty stable renal allografts recipients compared to twenty healthy individuals. Samples were taken at different time points from patient to patient following transplantation surgery, which varied from 3 months to 22 years post-graft. All patients started the immunosuppression therapy immediately following kidney graft (Day 0). Gas chromatography-mass spectrometry (GC-MS) was employed to perform untargeted analysis of fecal metabolites. Globally, the fecal metabolic signature was significantly different between kidney transplants and the control group. Fecal metabolome was dominated by lipids (sterols and fatty acids) in the stable transplant group compared to the controls (p < 0.05). Overall, 18 metabolites were significantly altered within kidney transplant recipients. Furthermore, the most notable altered metabolic pathways in kidney transplants include ubiquinone and other terpenoid-quinone biosynthesis, tyrosine metabolism, tryptophan biosynthesis, and primary bile acid biosynthesis. Fecal metabolites could effectively distinguish stable transplant recipients from controls, supporting the potential utility of metabolomics in rapid and non-invasive diagnosis to produce relevant biomarkers and to help clinicians in monitoring kidney transplants. Further investigations are needed to clarify the physiological relevance of fecal metabolome and to assess the impact of microbiota modulation.

SUBMITTER: Kouidhi S

PROVIDER: S-EPMC8145417 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundTransplant glomerulopathy, a common glomerular lesion observed after kidney transplant that is associated with poor prognosis, is not a specific entity but rather the end stage of overlapping disease pathways. Its heterogeneity has not been precisely characterized to date.MethodsOur study included consecutive kidney transplant recipients from three centers in France and one in Canada who presented with a diagnosis of transplant glomerulopathy (Banff cg score ≥1 by light microscopy), on the basis of biopsies performed from January of 2004 through December of 2014. We used an unsupervised archetype analysis of comprehensive pathology findings and clinical, immunologic, and outcome data to identify distinct groups of patients.ResultsAmong the 8207 post-transplant allograft biopsies performed during the inclusion period, we identified 552 biopsy samples (from 385 patients) with transplant glomerulopathy (incidence of 6.7%). The median time from transplant to transplant glomerulopathy diagnosis was 33.18 months. Kidney allograft survival rates at 3, 5, 7, and 10 years after diagnosis were 69.4%, 57.1%, 43.3%, and 25.5%, respectively. An unsupervised learning method integrating clinical, functional, immunologic, and histologic parameters revealed five transplant glomerulopathy archetypes characterized by distinct functional, immunologic, and histologic features and associated causes and distinct allograft survival profiles. These archetypes showed significant differences in allograft outcomes, with allograft survival rates 5 years after diagnosis ranging from 88% to 22%. Based on those results, we built an online application, which can be used in clinical practice on the basis of real patients.ConclusionsA probabilistic data-driven archetype analysis approach applied in a large, well defined multicenter cohort refines the diagnostic and prognostic features associated with cases of transplant glomerulopathy. Reducing heterogeneity among such cases can improve disease characterization, enable patient-specific risk stratification, and open new avenues for archetype-based treatment strategies and clinical trials optimization.

Project description:Acute social defeat represents a naturalistic form of conditioned fear and is an excellent model in which to investigate the biological basis of stress resilience. While there is growing interest in identifying biomarkers of stress resilience, until recently, it has not been feasible to associate levels of large numbers of neurochemicals and metabolites to stress-related phenotypes. The objective of the present study was to use an untargeted metabolomics approach to identify known and unknown neurochemicals in select brain regions that distinguish susceptible and resistant individuals in two rodent models of acute social defeat. In the first experiment, male mice were first phenotyped as resistant or susceptible. Then, mice were subjected to acute social defeat, and tissues were immediately collected from the ventromedial prefrontal cortex (vmPFC), basolateral/central amygdala (BLA/CeA), nucleus accumbens (NAc), and dorsal hippocampus (dHPC). Ultra-high performance liquid chromatography coupled with high resolution mass spectrometry (UPLC-HRMS) was used for the detection of water-soluble neurochemicals. In the second experiment, male Syrian hamsters were paired in daily agonistic encounters for 2 weeks, during which they formed stable dominant-subordinate relationships. Then, 24 h after the last dominance encounter, animals were exposed to acute social defeat stress. Immediately after social defeat, tissue was collected from the vmPFC, BLA/CeA, NAc, and dHPC for analysis using UPLC-HRMS. Although no single biomarker characterized stress-related phenotypes in both species, commonalities were found. For instance, in both model systems, animals resistant to social defeat stress also show increased concentration of molecules to protect against oxidative stress in the NAc and vmPFC. Additionally, in both mice and hamsters, unidentified spectral features were preliminarily annotated as potential targets for future experiments. Overall, these findings suggest that a metabolomics approach can identify functional groups of neurochemicals that may serve as novel targets for the diagnosis, treatment, or prevention of stress-related mental illness.

Project description:Older kidney transplant recipients are susceptible to cognitive impairment, frailty, comorbidities, immunosuppression-related complications, and chronic graft failure, however, there has been limited focus on their concerns and expectations related to transplantation. This study aims to describe the perspectives of older kidney transplant recipients about their experience of kidney transplantation, self-management, and treatment goals to inform strategies and interventions that address their specific needs.Face-to-face semistructured interviews were conducted with 30 kidney transplant recipients aged 65-80 years from five renal units in Australia. Transcripts were analyzed thematically.Six themes were identified: restoring vitality of youth (with subthemes of revived mindset for resilience, embracing enjoyment in life, drive for self-actualization); persisting through prolonged recovery (yielding to aging, accepting functional limitations, pushing the limit, enduring treatment responsibilities); imposing sicknesses (combatting devastating comorbidities, painful restrictions, emerging disillusionment, anxieties about accumulating side effects, consuming treatment burden); prioritizing graft survival (privileged with a miracle, negotiating risks for longevity, enacting a moral duty, preserving the last opportunity); confronting health deterioration (vulnerability and helplessness, narrowing focus to immediate concerns, uncertainty of survival); and value of existence (purpose through autonomy, refusing the burden of futile treatment, staying alive by all means).Older kidney transplant recipients felt able to enjoy life and strived to live at their newly re-established potential and capability, which motivated them to protect their graft. However, some felt constrained by slow recuperation and overwhelmed by unexpected comorbidities, medication-related side effects, and health decline. Our findings suggest the need to prepare and support older recipients for self-management responsibilities, clarify their expectations of post-transplant risks and outcomes, and provide assistance through prolonged recovery after kidney transplantation.

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Fecal Metabolomics Reveals Distinct Profiles of Kidney Transplant Recipients and Healthy Controls.

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