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First worldwide multicenter validation of the POLARIS preclinical polarizer across biological models and imaging paradigms

This study presents the first worldwide multicenter validation of the POLARIS preclinical polarizer, demonstrating its ability to rapidly and reproducibly produce hyperpolarized [1-¹³C]pyruvate across diverse biological models, imaging systems, and international research centers to enable standardized metabolic MRI for translational research.

Original authors: Vencel Somai, Hadrien Dyvorne, Galen Reed, Christoph Mueller, Meret Cepero Malo, Catriona Rooney, Andrei Chekushkin, Senay Karaali, Zumrud Ahmadova, Martin Gierse, Michael Keim, Jochen Scheuer, Jonas
Published 2026-07-05
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Original authors: Vencel Somai, Hadrien Dyvorne, Galen Reed, Christoph Mueller, Meret Cepero Malo, Catriona Rooney, Andrei Chekushkin, Senay Karaali, Zumrud Ahmadova, Martin Gierse, Michael Keim, Jochen Scheuer, Jonas Handwerker, Felix Josten, Saar Szekely, Pascal Ruetten, Luca Nagel, Miriam Kirst, Sandra Suehnel, Martin Grashei, Franz Schilling, Stephen Lai, Qin Wang, Yunyun Chen, James Bankson, David Gomez-Cabeza, Lluis Mangas, Gergo Matajsz, Alba Herrero Gómez, Vicent Ribas, Irene Marco Rius, Renuka Sriram, Jeremy Gordon, Meetu Wadhwa, Xiao Gao, Tamara Vasilkovska, Daniel Vigneron, Andre Wendlinger, Joshua Kaggie, Ferdia Gallagher, Max Bullock, Rafat Chowdhury, Shonit Punwani, Ashley Shaw, James Quirk, Nicholas Vidas-Guscic, Madison Heady, Caroline Guglielmetti, Cornelius von Morze, Mario Chang, Saket Patel, Roberta Pigliapocchi, Thasin Peyear, Kayvan Keshari, Ilai Schwartz, Stephan Knecht, Myriam Chaumeil

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

The Big Picture: Making "Glow-in-the-Dark" Metabolism Visible

Imagine you are trying to watch a movie of a city's traffic, but all the cars are invisible until they hit a specific bump in the road. That bump is a chemical reaction. In the human body, cells are constantly running on fuel (sugar) and producing exhaust (waste). Doctors want to see this "traffic" in real-time to spot diseases like cancer early, but standard MRI machines are like night-vision goggles that are too dim to see these tiny chemical cars moving.

To fix this, scientists use a trick called Hyperpolarization. Think of this as giving every single fuel molecule a tiny, super-bright flashlight. Suddenly, the MRI machine can see the fuel moving through the body, turning into waste, and lighting up specific areas. This is called Hyperpolarized 13C MRI.

The Problem: The Old "Slow Cooker" vs. The New "Instant Pot"

For the last 20 years, making these "flashlight molecules" was like trying to bake a cake using a slow cooker that takes two hours to preheat, requires a giant freezer, and needs a team of three chefs to operate. This method (called dDNP) is complex, expensive, and hard to use in regular hospitals. It limits how many patients can be studied.

Enter the POLARIS Preclinical. The authors of this paper describe this device as a "smart, automated Instant Pot" for making these glowing molecules. It uses a different chemical trick (involving a special gas called parahydrogen) to turn regular molecules into "flashlight molecules" in just 90 seconds. It's small, fits in a normal room, and runs itself with the push of a button.

The Experiment: A Global Road Test

The paper isn't just about building one machine; it's about proving that four of these machines work exactly the same way in eight different countries (including the US, UK, Germany, Spain, and France).

Think of it like a car manufacturer sending four identical new cars to eight different test tracks around the world. They want to see if the cars drive the same way whether they are on a rainy track in London or a dry track in Texas.

What they did:

  1. The Kit: They sent a standardized "recipe box" to every lab. Inside were the ingredients (chemicals) needed to make the glowing fuel.
  2. The Machine: Each lab put the ingredients into their POLARIS machine.
  3. The Result: In under 90 seconds, every machine produced a dose of glowing fuel. They made over 400 doses in total without any machine breaking down.
  4. The Test: They injected this fuel into mice and scanned them with MRI machines of different strengths (some strong, some weaker).

The Findings: Consistent and Reliable

The paper claims three main things based on their results:

  1. It Works Everywhere: No matter which country the machine was in, or which MRI scanner the mice were scanned on, the machine produced the same high-quality "glowing fuel." The brightness and purity were consistent.
  2. It Sees the Disease: When they looked at the mice, the glowing fuel lit up the tumors much brighter than the healthy organs. It's like shining a flashlight in a dark room; the tumor "glowed" because it was eating the fuel and turning it into waste (lactate) much faster than the healthy tissue.
  3. It's Safe and Simple: The machine is so easy to use that it only took one day to set up in a new lab. The final liquid injected into the mice was safe, with almost no leftover chemicals that could be harmful.

The Bottom Line

This paper is a "proof of concept" for a new tool. It shows that the POLARIS machine can reliably, quickly, and safely produce the special ingredients needed to see metabolism in living animals.

By proving that this machine works consistently across eight different international labs, the authors are saying: "We have built a standardized, easy-to-use tool that can finally let many different research centers study metabolism together, without needing a massive team of experts or a complex setup."

They have successfully moved the technology from a "custom-built prototype" phase to a "ready-to-use product" phase, paving the way for more studies on how diseases like cancer, heart issues, and brain disorders affect the body's energy use.

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