Michael S. Balzer

For anyone coming from X: Official BALZER LAB account is now at🦋 👉 bsky.app/profile/balzer…

Alright, #MedTwitter #NephTwitter 🫘 The time has come to move on... Would love to stay in touch! Find me at 🦋 bsky.app/profile/ms-bal…

Original Article: Long-Term Effects of Empagliflozin in Patients with Chronic Kidney Disease (EMPA-KIDNEY) nej.md/3NE3W7K #KidneyWk | @ASNKidney

Amazing new spatial data in DKD (1.7M cells) from @BernhardDumoul1 @KSusztak lab #kidneyweek2024

Instrumental work by Hiroaki Kikuchi from @MarkKnepper6 lab on what instigates renal compensatory growth #kidneyweek2024

Fantastic talk by @MiguelCheSoares on labile heme and Host-Microbe interactions in the context of AKI #KidneyWk2024

Want to know how to extend your kidneys’ lifespan? Starting off “Opposing Demands in Kidney Injury: How to Adapt” with Martin Späth leveraging caloric restriction for kidney injury. #kidneyweek2024

Fatty acid oxidation in AKI is 🔥🔥🔥No seats left @SunderSimsLucas

Is fibrosis🐓or🥚? Fantastic talk in the spatial session by @Ina_M_Schiessl on intravital tracking of kidney tubules. #kidneyweek2024 #kidneyweek

Let’s go #kidneyweek2024 @ASNKidney @lfwgnr @P_Enghard @ms_balzer @Alibrandi_SA

Congrats @AminAbedini1990 @KSusztak and team! 🔥🔥🔥

Prof. Dr. Tobias Huber aus dem #UKEHamburg ist vom @ERC_Research mit ERC Advanced Grant ausgezeichnet worden. Sein Forschungsprojekt zu einer Form der Nierenfilterschädigung (fokal segmentalen Glomerulosklerose, FSGS) wird mit 2,5 Mio. Euro gefördert: t1p.de/m49gz

@UKEHamburg @Tobias_B_Huber @ERC_Research Congrats!

"The nephrology community has lost one of its truly remarkable figures..." Drs @JochenReiser and Martin Zeier remember the life and legacy of Eberhard Ritz bit.ly/JASN0304

With tremendous joy, I share that our patient who received a gene-edited pig kidney transplant was discharged home today after removal of his dialysis access. We hope that this is a first step that will bring hope to many patients waiting for a kidney transplant #xenotransplant

Thrilled to share that Dynamo v1.4 (github.com/aristoteleo/dy…) for single cell and metabolic labeling enabled RNA velocity vector field learning and prediction is now on PyPi! This is one of our biggest upgrades of Dynamo since early 2023. In this new release, we made the following extensive changes: 1) Implemented an interactive Shiny web application for in silico perturbation and least square action path analyses, see: dynamo-release.readthedocs.io/en/latest/Shin… 2). More 3D plots with Plotly and Pyvista: 3D scatters with Plotly and Pyvista: - dyn.pl.scatters_interactive(). 3D vectors with Plotly and Pyvista: -dyn.pl.cell_wise_vectors_3d(). 3D topography with Plotly and Pyvista: - dyn.pl.topography_3d(). 3D animation with Pyvista: dyn.mv.PyvistaAnim(). 3). Extensive reorganization of the code in tools module: #tools-tl" target="_blank" rel="nofollow noopener">dynamo-release.readthedocs.io/en/latest/API.… 4). Various tutorial updates and bug fixes are made. See our detailed release log here: dynamo-release.readthedocs.io/en/latest/Rele… In our next release, we are aiming to integrate Storm (biorxiv.org/content/10.110…) and a few other new methods in our next releases. Stay tuned!

@Hongbo919Liu @KSusztak Congrats, Hongbo! Way to go!

I am reaching out to extend my deepest thanks for the incredible journey (2018-2024) I have experienced in the Susztak Lab. Thank @KSusztak for her wonderful mentorship. And thank all those who have been a part of my journey. All my best wishes to you and your loves!

🎉 Happy to share our first 📜 2024!🔬 Our review article in @GenomeMedicine on the innovative use of spatial multi-omics. Discover how these technologies are unlocking new understandings of cardiovascular disease. 🚀rdcu.be/dwnVi @UniklinikAachen @SpringerNature @RWTH

Huge thank you 🙏to all involved: 👏@cetin_sz, Kathrien Abdank, @AminAbedini1990 @KSusztak Kai-Uwe Eckardt @BIH_Innovation @EKFStiftung Check out the 🔥paper in @NDTsocial: doi.org/10.1093/ndt/gf… Eo/🧵

CONCLUSION: our straightforward analytical framework ✅effectively positioned pre-clinical models along human biology (AKI-to-CKD); ✅showcased robust biological pathway concordance across species; ✅identified problematic datasets and samples. 6/🧵

❓❓❓Ever wondered how well pre-clinical #kidneydisease models translate to the human? Recent #singlecell work led by top students in my lab, Kathrien Abdank & @cetin_sz, provides answers. 1/🧵