Impact of Ultrasound-guided Percutaneous Core Needle Biopsy on Biomarkers of Human Kidney Allograft Status.

Background: Deciphering the impact of invasive percutaneous core needle biopsy of the kidney allograft on diagnostic biomarkers may help guide their clinical usage.

Methods: We prospectively enrolled 39 adult kidney allograft recipients (patients) who underwent 41 clinically indicated, ultrasound-guided, percutaneous core needle biopsies. Pre- and post-biopsy urines were analyzed for urinary cell 3-gene signature score (UroMap), and the bloods for peripheral blood gene expression score (AlloMap Kidney) and plasma donor-derived cell-free DNA percentage (dd-cfDNA).

Forecasting nitrous oxide emissions from a full-scale wastewater treatment plant using LSTM-based deep learning models.

Nitrous oxide (NO) emissions from wastewater treatment plants (WWTPs) exhibit significant seasonal variability, making accurate predictions with conventional biokinetic models difficult due to complex and poorly understood biochemical processes. This study addresses these challenges by exploring data-driven alternatives, using long short-term memory (LSTM) based encoder-decoder models as basis. The models were developed for future integration into a model predictive control framework, aiming to reduce NO emissions by forecasting these over varying prediction horizons.

Does old-to-young kidney transplantation rejuvenate old donor kidneys?

Background: The number of older organ donors is increasing due to the aging population. Aged kidneys often face problems such as delayed graft function but previous murine experiments suggested the possibilities of rejuvenation, for example, in a parabiosis setting between old and young mice. To investigate kidney-graft rejuvenation, we compared an old-to-young (O-Y) patient transplantation group and a transplantation group with donors/recipients of approx.