ReviewSeminars in nephrology2016
Just Look! Intravital Microscopy as the Best Means to Study Kidney Cell Death Dynamics.
Review in Seminars in nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Renal microcirculation and mechanisms in diabetic kidney disease.Frontiers in endocrinology · 2025Review
- Longitudinal tracking of acute kidney injury reveals injury propagation along the nephron.Nature communications · 2023Article
- Intravital imaging of real-time endogenous actin dysregulation in proximal and distal tubules at the onset of severe ischemia-reperfusion injury.Scientific reports · 2021Article
- Advances in fluorescence microscopy techniques to study kidney function.Nature reviews. Nephrology · 2021Review
- Actually Seeing What Is Going on - Intravital Microscopy in Tissue Engineering.Frontiers in bioengineering and biotechnology · 2021Review
- Long-Term Cell Fate Tracking of Individual Renal Cells Using Serial Intravital Microscopy.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Endothelium structure and function in kidney health and disease.Nature reviews. Nephrology · 2019Review
- Advances in Renal Cell Imaging.Seminars in nephrology · 2018Review
- Intravital imaging of the kidney in a rat model of salt-sensitive hypertension.American journal of physiology. Renal physiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Kidney cell death plays a key role in the progression of life-threatening renal diseases, such as acute kidney injury and chronic kidney disease. Injured and dying epithelial and endothelial cells take part in complex communication with the innate immune system, which drives the progression of cell death and the decrease in renal function. To improve our understanding of kidney cell death dynamics and its impact on renal disease, a study approach is needed that facilitates the visualization of renal function and morphology in real time. Intravital multiphoton microscopy of the kidney has been used for more than a decade and made substantial contributions to our understanding of kidney physiology and pathophysiology. It is a unique tool that relates renal structure and function in a time- and spatial-dependent manner. Basic renal function, such as microvascular blood flow regulation and glomerular filtration, can be determined in real time and homeostatic alterations, which are linked inevitably to cell death and can be depicted down to the subcellular level. This review provides an overview of the available techniques to study kidney dysfunction and inflammation in terms of cell death in vivo, and addresses how this novel approach can be used to improve our understanding of cell death dynamics in renal disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.