Latest / EHA Unplugged / Hematopoietic Stem Cells in Health, Aging and Malignancy: Focus on Metabolism (EHA2024)
Transcript
- 0:06In this episode of EHA Unplugged, we will revisit a
- 0:09spotlight talk from EHA 2024. Doctor Christoph Shadda from the
- 0:14Yagilonian University in Krakow discusses hematopoietic stem
- 0:18cells in health, aging and malignancy, with a focus on
- 0:21metabolism. During my last years of research
- 0:25during PhD post docs and I was when starting my own lab, we
- 0:29focus on hematopathic stem cells, HSCS especially we look
- 0:34at the heterogeneity and how they age and they age in quite
- 0:38specific way. So the first thing with time
- 0:42this reconstitution potential of HS CS is decreasing.
- 0:45But actually the numbers of HS CS expands and what is very
- 0:48typical for them they show so-called myeloid bias.
- 0:52So they are prone to deficit more to myeloid cells.
- 0:55So there are different models that explain this.
- 0:58One assumes that this is just the epigenetic shift and and
- 1:01driven gene expression. The author says this is the
- 1:05kernel selection model. So assume that there is like a
- 1:08sub clones that are interestingly have this myeloid
- 1:10bias deprecation program and they just are selected in aging
- 1:14and you end up with the the myeloid bias.
- 1:17Of course you can think of about the composite model of these two
- 1:20and we'll get back to it today. So I want to summarize our
- 1:25results or our findings in three different settings of HSC aging
- 1:30and and highlight the, the, the metabolic context of it.
- 1:33So first, the stress induced aging.
- 1:37So we know that under pressure and stress conditions age
- 1:40faster. This is the same with HS CS,
- 1:42yes, the second law is called physiological aging.
- 1:45So you, you may live in comfortable conditions, but you
- 1:48won't escape aging. And finally, I want to, I want
- 1:51to show how at least in short, how the HSC looks when there is
- 1:55a malignancy in the system. So let's start with this
- 1:58premature aging. It happens that I studied an
- 2:01enzyme called heme oxygenase one age 1.
- 2:03So age 1 degrades peroxidated him into the anti-inflammatory
- 2:08products and generally thought to be cytoprotective enzymes.
- 2:12So they look on H1 knockout mice and actually say that the in
- 2:16already in the young animals there is expansion of the HSC
- 2:19pool. So then when you look on
- 2:20peripheral that you already see a general myeloid bias there.
- 2:24And finally when we transplanted the purified HSCS we observed
- 2:27there was the constitution there are the main symptoms of HSC
- 2:30aging visibly already in young age 1 mice.
- 2:34So we thought that this represents some kind of
- 2:36premature HSC aging model. And it seems that it is really
- 2:40even at broad transcriptional level.
- 2:42The young HCS from knockout animals cluster together with
- 2:48all the wild type HCS. The HC from young age of 1
- 2:51deficient my soul already premature aging.
- 2:54So what about the metabolism here when we do generatement
- 2:58analysis on this young HO1 knockouts among HSCS, one of the
- 3:02first hit was pyruvate metabolic processes.
- 3:05So there was a beautiful paper by Tasha Sudalap showing
- 3:08actually there is so-called glycolytic metabolic stemless
- 3:11signature and this this depends on pyruvate crossing.
- 3:16So pyruvate can be put to the mitohondria by PDH for the
- 3:23Oxford respiration or by transfer by LDH to lactate in
- 3:27glycolysis. And this glycolytic score, this
- 3:31glycolytic path here defines this metabolic stem that they
- 3:35show, but it's also important that the PDK's.
- 3:38So PDK's can inhibit PDH by phosphorylation and by this
- 3:43suppress the glycolytic metabolism influx into the
- 3:45mitohondria. And in fact this is the PDK
- 3:48explosion regulated really much in transcription level.
- 3:51So it gives you opportunity to see so-called pyruvate crossol
- 3:55gene signature. So we so we check how it looks
- 3:58in this HO1 deficient HSCS and in fact this is the case.
- 4:02So they don't regulate LDH and PDK 2.
- 4:05And it seems like this pure weight in this HO1 local HSCS
- 4:09goes more to the OXX. But actually you are able to
- 4:11measure the ATP production among the strictly defined populations
- 4:15and you observe that they don't use this Oxford because there's
- 4:17actually lower, lower level of the ATP inside this H1 different
- 4:22HSCS. This glycolytic metabolic
- 4:24standards that is dependent on this pirate crossroad is
- 4:27disturbed in this premature aging model of HSCS in this H1
- 4:31local dynamics. So the next question was, is
- 4:33that the case also during the physiological aging, But at the
- 4:36time people already knew that this there is some heterogeneity
- 4:40among HS CS, but there was no prospective marker to dissect
- 4:43the central duty and study it in during aging.
- 4:46So first thing what we did, we screen frame markers that are
- 4:48very specific only to HS CS and among these markers to find the
- 4:53genes that are differentially degraded during the aging.
- 4:55And this is how we found the Neogenine 1.
- 4:57So majority of HS CS in all the mice expands and majority of
- 5:03them are new one positive actually the new one negative
- 5:06HSCS in not expanded aging. So then we see what is the
- 5:10difference between this new one plus and one negative HSCS.
- 5:13The new one plus regulates some sort of cycle genes.
- 5:16But the most important for us was that they do express genes
- 5:19that are typical for mature myeloid and platelet cells.
- 5:23We have the hinge of this clonal selection model, myeloid bias
- 5:25that can prospectively study this.
- 5:27So, but of course the function is the most important here.
- 5:29When we transplant 10 cells, HSCS, new one negative or
- 5:33positive and indeed the new one positive HSCS mostly produce
- 5:37ground loss sites while this new one negative HSCS provide more
- 5:41balanced output. But there was one more question
- 5:45to say if this is really the cloud selection model here.
- 5:48So the question was, is there any hierarchy dependencies
- 5:52between neo one negative and positive or relief independently
- 5:55one of each other? The proper answer would be this
- 5:57is the composite model because we have both clonality here, but
- 6:00also a hierarchy and genetic shift with neo one negative HSC
- 6:04standing in the apex of this hierarchy differentiated and
- 6:07giving rise to new one positive biased HSCS.
- 6:11So the, the question was how the glycolytic metabolic stemness
- 6:15look here with the within this tension between young and old.
- 6:18To do so, we make an Atlas of aging HSC people.
- 6:22So very, very early stages of this HSC differentiation.
- 6:25So generally you see the clones, you see also the epigenetic
- 6:28model and how the whole system looks regarding the pyruvate.
- 6:32So in fact, there's no much difference between aging or neon
- 6:36plus and negative subpopulation. So at the end, and I just want
- 6:41to show you the last models of the old model of HSC malignancy.
- 6:45So this is a very hot topic right now.
- 6:47Then the prelocating HSCS and the common hematopoiesis is
- 6:50mainly studied in context of MD's or or AML in elderly
- 6:53people. So we did a bit different thing.
- 6:56And so I want to show you our recent observation about HSCS.
- 7:00But in pediatric ALS, we observed a very strange aberrant
- 7:04basal differentiation program. But generally it's typical for
- 7:07only for basal progenitals. But we observed that the part of
- 7:10HSC already expressed the signature of basal
- 7:13differentiation. And what was interesting for us
- 7:15this, this part of HSC also expressed high glycolysis call.
- 7:20So this I want to end. I would like to thanks all all
- 7:23of my lab members.