Tuesday, January 19, 2021

Alzheimer's is not One Disease!

What % of academic papers make serious headway in resolving a question? In my opinion, not many. 1% is optimistic. Here's a paper that falls into that 1%: Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets. There's plenty of tricky bioinformatics within, but the basic task isn't hard to grok: get a load of Alzheimer's data from a particular region of the brain, cluster it, and use every tool you can find to link the clusters to patient types, cell types, mouse studies, whatever. 

The big takeaway is that Alzheimer's isn't a single entity. In fact, that's an understatement. The same genes that are upregulated relative to controls in Cluster A, for example, may be downregulated in Cluster C. These are not subtle differences between clusters...they're massive. 

There were 5 clusters in the study (A, B1, B2, C1, C2), each with characteristic up/downregulated transcripts. We took those 5 pairs of transcripts, passed them through our "Match Studies" app and, in a format that would never pass peer review, summarize the results below. We also passed the WhatIsMyGene canonical Alzheimer's regulation lists (up/down) through the app.

A

tau neighborhood genes, tau protein binding, up-regulation of gaba/glutaminergic, dendritic synaptic pathways, downregulation of immune response, increase of neuronal regulation genes,tauP301L model

mimics

counters

arx ko

C2

B2

C1

high activity

alcoholism

B1

autism

brains lacking b/NK cells

some alzheimer studies

hras g12s mut

rosmarinic acid

hoxa5 gain

IAV infection

methylphenidate

tyr-trp dipeptide

GBM stem cells w/gpr56 ko

arx mutant

huntington's mouse

med23 ko

 

 

B1

tau neighborhood genes, up-regulation of gaba/glutaminergic, glycinergic, dendritic synaptic pathways, downregulation of immune response, downregulation of oligodendrocytic genes, APOJ/CD2AP/BIN1 mouse models

mimics

counters

B2

C1

A

some alzheimer studies

 

 

B2

tau neighborhood genes, up-regulation of gaba/glutaminergic, glycinergic, dendritic synaptic pathways, immune pathways, APOE2 dosage, downregulation of oligodendrocytic genes, APOJ/CD2AP/BIN1 mouse models

mimics

counters

B1

some alzheimer studies

C1

idh1 expression in NSCs

C2

A

 

 

C1

AB binding, fiber clearance, down-regulation of gaba/glutaminergic, glycinergic, dendritic synaptic pathways, immune pathways, APOE4 dosage, 5XFAD/APP Dutch/APP Swedish mice

mimics

counters

C2

A

autism

B1

nasu hakola brain

antiretrovirals

alcoholics

high activity

HIV patients (w/o antiretrovirals)

schizophrenia

MS lesions

zinc restriction

cocaine addiction

DHA treatment

B2

apoe4 organoids

ALS motor cortex

high protein diet

Creutzfeldt-Jakob

Down's syndrome

JEV/WNV infection

wig1 kd

mog (neuroinflammation)

hoxa5 gain

HIV 

depression

 

 

C2

down-regulation of gaba/glutaminergic, glycinergic, dendritic synaptic pathways, immune pathways, 5XFAD/APP Dutch/APP Swedish mice

mimics

counters

C1

A

alcoholism

arx ko

autism

sufu ko

nasu-hakola

antiretrovirals

cocaine addiction

B2

hiv

hoxa5 gain

ALS motor cortex

Creutzfeldt-Jakob

APP ko

Dicer ko

 

 

WhatIsMyGene canonical Alzheimer's

canonical mimics

canonical counters

Creutzfeldt-Jakob

antiretrovirals

alcoholism

rdm11 kd

cocaine addiction

high activity

nasu hakola brain

dha treatment

HIV

A

C2

ndp ko

C1

schizophrenia

ALS

some Alzheimer's studies

MS lesions

9thc treatment

autism

cga ko

Down's syndrome

bdnf treatment

hoxa5 gain

sdhd kd

aged brain

pten heterozygosity

Cockayne syndrome

arx ko

Rhett's syndrome

fluoxetine

glioma stem cells (vs normal)

bipolar

OCD

hras g12s mutation

mouse epilepsy

rosmarinic acid

fibrinogen treatment

arx mutation

traumatic injury

anti-cd8 treatment


First, you see the cluster names. Then, in gray boxes, you see some broad characteristics of the clusters that were mentioned in the paper. Below that, you see studies that either mimic the clusters or counteract them, listed in order of significance. Studies highlighted in yellow are Alzheimer's mimics with respect to one cluster, but counters with respect to another. Green highlights suggest interventions that aren't contradicted in one cluster versus another. If you want the finer grain details of these studies, you can use the "Match Studies" tool yourself: enter our database IDs for the up/downregulation results in the clusters ("signatures" is actually the term in the paper), choose "brain" as "Cell Type", and choose "Inverse Correlations" if you want to counter the input.

Dbase ID

Study

125024121

upregulated in Alzheimer's signature A

125025121

downregulated in Alzheimer's signature A

125026121

upregulated in Alzheimer's signature B1

125027121

downregulated in Alzheimer's signature B1

125028121

upregulated in Alzheimer's signature B2

125029121

downregulated in Alzheimer's signature B2

125030121

upregulated in Alzheimer's signature C1

125031121

downregulated in Alzheimer's signature C1

125032121

upregulated in Alzheimer's signature C2


As mentioned above, it's pretty obvious that there are major distinctions between the clusters. For example, the single best counter to Cluster A is Cluster C2. Unfortunately, negating one form of Alzheimer's with another is probably not a very good therapeutic option. More evidence of different forms of Alzheimer's is the fact that some individual Alzheimer's studies counter specific clusters. In the past, we've actually noted (and then ignored) this fact when comparing individual Alzheimer's studies.

There's a lot that could be said about the mimics and counters above. To keep things brief:

*not one but two studies involving alterations to ARX are seen above. Intriguing. 

*antiretrovirals are prominent but, as noted before, they were applied to HIV patients, meaning that we must choose between a "direct" effect on Alzheimer's or an indirect effect where the drugs kill a virus that induces an Alzheimer's-like transcriptome. Either way, though, the question of antiretroviral usage is interesting.

*there are a few easy interventions that are worth thinking about...e.g. DHA (fish oil) ingestion, zinc restriction, high protein diets. High activity levels counter the C clusters, but may enable the A cluster.

*some knockout/overexpression studies suggest possible drug targets besides ARX.

*mouse Alzheimer's models are nowhere to be seen in the mimics/counters columns. One mouse neuroinflammation study does appear, however, as mimicking cluster C1. If you're a fan of Alzheimer's mouse models, the paper does devote several paragraphs to this topic.

*cluster C1 is chock-full of neural disorders besides Alzheimer's. Why? Are we looking at a general response to insults to the brain?

*some results are slightly comical. It appears that alcoholism could counter the Cluster A version of Alzheimer's.

In general, the super-compelling clustering results suggest a future where treatment depends entirely on one's Alzheimer's type. Unfortunately, it's beyond the scope of the paper to show how patients might be typed, given the invasiveness of sampling living brain tissue. We note that our own "canonical" Alzheimer's lists strongly parallel clusters C1 and C2, probably because that's simply where the bulk of post-mortem samples abide. Also, the paper does show that tau tangles and AB-plaques are prominent in particular clusters; in-vivo imaging methods for these Alzheimer's manifestations are improving.

whatismygene.com 


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