Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially genus. Interestingly, only was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of and genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes.
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http://dx.doi.org/10.3390/microorganisms8111724 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Sustainability Solutions Research Lab, Faculty of Engineering, University of Pannonia, Egyetem Str. 10, Veszprém, 8200, Hungary.
Ensuring everyone enjoys healthy lifestyles and well-being at all ages, Progress has been made in increasing access to clean water and sanitation facilities and reducing the spread of epidemics and diseases. The synthesis of nano-particles (NPs) by using microalgae is a new nanobiotechnology due to the use of the biomolecular (corona) of microalgae as a capping and reducing agent for NP creation. This investigation explores the capacity of a distinct indigenous microalgal strain to synthesize silver nano-particles (AgNPs), as well as its effectiveness against multi-drug resistant (MDR) bacteria and its ability to degrade Azo dye (Methyl Red) in wastewater.
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November 2024
Biostatistics, Michigan State University College of Osteopathic Medicine, East Lansing, USA.
Background Preventive measures are critical in avoiding and limiting the severity of diseases. Key lifestyle behaviors include sleep hygiene, habitual exercise, a healthy diet, and avoidance of risky substances, particularly the use of tobacco. The transtheoretical model (TTM) of change suggests that patients can move towards healthful changes through education.
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January 2025
Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Background: Care dependency, inability to perform basic daily tasks without assistance due to functional impairment, increases substantially with accelerated population ageing and becomes a pressing public health concern worldwide. Socioeconomic disadvantage has been shown to be associated with elevated risks of care dependency, but how risks are modified by changes in socioeconomic position remains unclear. From a life course perspective, we investigated the association between socioeconomic mobility across the lifespan and care dependency in later life.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of General Surgery A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Cholelithiasis, commonly known as gallstone disease, poses a significant public health concern globally, with a myriad of risk factors contributing to its development. Among these, lifestyle factors, particularly physical activity, have garnered considerable attention for their potential role in modulating the risk of gallstone formation. This review aims to synthesize the current landscape of physical activity and the risk of developing cholelithiasis and identify knowledge gaps.
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