Background: Situs inversus is a rare complication of cystic kidney diseases. Only three genes, INVS (NPHP2), NPHP3 and PKD2 have been proved to be responsible for some cases, while the responsible genes in many others are still unknown.

Case Reports: Here we report two male patients with situs inversus combined with cystic kidney disease without any family history of polycystic kidney disease. Their renal function was normal in childhood but culminated in end stage renal disease in middle age. No pathogenic mutations were found in mutation analysis of INVS, IFT88, PKD2, UMOD or NPHP3 in them.

Conclusions: Past reported cases of situs inversus and cystic kidney diseases were divided into three groups, i.e., gestational lethal renal dysplasia group, infantile or juvenile nephronophthisis group and polycystic kidney disease group. The present patients are different from each of these groups. Moreover, the renal lesions of the present two cases are quite different from each other, with one showing mildly atrophic kidneys with small numbers of cysts and the other an enlarged polycystic kidney disease, suggesting very heterogeneous entities.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3619039PMC
http://dx.doi.org/10.12659/AJCR.883751DOI Listing

Publication Analysis

Top Keywords

kidney disease
20
situs inversus
16
cystic kidney
16
polycystic kidney
12
inversus cystic
8
kidney diseases
8
kidney
7
disease
6
situs
4
cystic
4

Similar Publications

Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.

Comput Med Imaging Graph

January 2025

CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:

In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.

View Article and Find Full Text PDF

Background And Objectives: Chronic kidney disease (CKD) is known to be associated with increased plasma phosphorylated tau217 (p-tau217) concentrations, potentially confounding the utility of plasma p-tau217 measurements as a marker of amyloid pathology in individuals with suspected Alzheimer disease (AD). In this study, we quantitatively investigate the relationship of plasma p-tau217 concentrations vs estimated glomerular filtration rate (eGFR) in individuals with CKD with and without amyloid pathology.

Methods: This was a retrospective examination of data from 2 observational cohorts from either the Mayo Clinic Study of Aging or the Alzheimer's Disease Research Center cohorts.

View Article and Find Full Text PDF

Background: Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients with Coronavirus Disease 2019 (COVID-19) who are at risk for progression to severe disease due to the presence of one or more risk factors. Millions of treatment courses have been prescribed in the United States alone. Paxlovid was highly effective at preventing hospitalization and death in clinical trials.

View Article and Find Full Text PDF

Background: Prostate cancer remains the most frequent cancer among men, representing a significant health burden. Despite its high morbidity and mortality rates, the etiology of prostate cancer remains relatively unknown, with only non-modifiable established risk factors. Chronic inflammation has emerged as a potential factor in prostate carcinogenesis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!