Laut Studie könnte ein neuer Urintest das Autismusrisiko bei Kindern im Alter von zwei bis elf Jahren erkennen. Die Arizona State University hat einen Urintest zur Messung von 17 Darmmetaboliten entwickelt, der in einer kleinen Studie Autismus bei Kindern im Alter von 2 bis 11 Jahren mit einer Sensitivität von 90 % und einer Spezifität von 100 % identifizierte.

    https://medicalxpress.com/news/2026-05-urine-autism-children-ages.html

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    11 Kommentare

    1. Prior_One_7050 on

      The gut microbiome link is fascinating but the sample size is only 99 kids so replication in a larger diverse group is really the next hurdle. Also wondering if metabolite levels shift with age or dietary changes and whether that affects screening reliability over time.​​​​​​​​​​​​​​​​

    2. DiesByOxSnot on

      „Autism risk“ God forbid we acknowledge that it’s a natural state of neurodivergence, and not a disease or disorder that needs eradication… Motherfuckers, it’s heritable, most likely running in families. The biggest autism risk is being born.

    3. thegreatpotatogod on

      Or, god forbid, the could actually *talk* to the person! Seems slightly easier and more logical than analyzing chemicals in their pee?

    4. Sounds like a waste of time to me. A better way to test whether or not kids have autism is to simply observe if their diet solely consists of dino nuggies. If it does, there’s your diagnosis.

    5. Is this a chicken and egg thing though? Autistic kids tend to be very picky eaters due to sensory issues. Therefore their gut micro biome is going to be less than optimal. Which then shows up in urine.

      What I would want to see is managing the gut microbiome to see if it makes a difference in the issues autism brings about. Not a cure, mind you, just a lessening of the anxiety, depression, etc. and mine has frequent stomach aches, so I do believe her gut is messed up

    6. ElectronicCat3293 on

      I’m so tired of these types of studies. If you measure 600 metabolites in 100 people, by random chance some % will be different between the groups. If you then train a model on those metabolites that are different you can then claim that you developed an accurate test, but really it is just noise. Until they actually reproduce the results in an entirely independent cohort, this is just a hypothesis, and a highly suspect one at that. And there is an obvious conflict of interest as well.

    7. Throwaway1098590 on

      OP, why use two different numbering formats in the title (two & 11)?

    8. Throwaway1098590 on

      There are companies that have looked into microbiomes for a number of reasons and applications.

      This is quite fascinating and hopefully more (good) will come of it!

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