$VERV @VerveTx first program VERVE-101 (targeting PCSK9) is designed to permanently lower LDL cholesterol after a single treatment and is intended to treat FH and ASCVD
What's the unmet need beyond this?
Two patient populations👇🏽
May 9, 2022 • 10 tweets • 5 min read
Now, you thought @VerveTx was just a CVD product Co.
No, we invent delivery tech as well
New data today in wild-type NHPs:
our proprietary GalNAc-LNP *more potent & consistent* than standard LNP
with 98% reduction in plasma ANGPTL3!!
(editing of basically every hepatocyte)
We developed proprietary GalNAc-LNP last year in order to better treat patients with homozygous FH who completely lack LDLR
Now, the new NHP data suggests that GalNAc-LNP might become
Some highlights:
Before we get to off-target, let's look at on-target site in PCSK9 gene
Single base pair change at canonical splice site between exon 1 & intron 1
Precise, stereotypical A to G change after treatment in 98.7% alleles (key advantage base editing)
No edits of bystander adenines!
Apr 4, 2022 • 6 tweets • 3 min read
Some patients with very high LDL-C who have already suffered a heart attack:
*may need both the PCSK9 and the ANGTPL3 pathways inactivated
*can we accomplish this with gene editing -
the switching off of two genes in the liver in the same individual?
#ACC22@VerveTx $VERV
NHPs treated:
*day 0 with VERVE-101 targeting PCSK9 (one-time IV infusion)
*day 30 with ANGPTL3 base editor (one-time IV infusion)
*necropsy at day 90 -->
high level editing of each gene!!
69% editing PCSK9
61% editing ANGTPL3
Each edit designed to switch off respective gene
Apr 4, 2022 • 10 tweets • 5 min read
A single IV infusion -->
96% lower plasma ANGPTL3 nearly 2y later in non-human primates!!
Coming era of "molecular surgery":
* one time Rx
* permanent switch off disease-causing gene in liver
* lifelong benefit
still do not reach LDL goal
despite oral standard-of-care and PCSK9i
Sep 23, 2021 • 9 tweets • 5 min read
New pre-clinical studies with clinical formulation of VERVE-101 1. large NHP study (L) 2. liver regeneration model 3. absence germline editing 4. absence off-target at 244 sites
academic.oup.com/eurheartj/adva…1. "general agreement that LDL-C is the most important risk factor for atherosclerosis & causal role in the development of ASCVD."
2. "atherogenic effect of LDL-C appears to be dependent on both the level of circulating LDL-C and the *duration* of this level."
Jun 26, 2021 • 6 tweets • 4 min read
A home run!
@intelliatweets shows for first time in humans that in vivo liver gene editing (CRISPR-Cas9 mRNA + guide RNA packaged in a lipid nanoparticle)
is going to work (REALLY WELL)
At dose of just 0.3 mg/kg in 3 humans,
plasma TTR reductions:
80%, 84%, & 96%
No AEs
😳
A most surprising finding:
@intelliatweets reveals effective dose in non-human primates had been 3 mg/kg (L)
Effective dose humans 0.3 mg/kg (R)
From monkey to human, a full 10-fold lowering effective dose
Incredible. Can only imagine J. Leonard’s reaction after 1st 3 pts
😳
May 19, 2021 • 7 tweets • 4 min read
Does chronic disease need to equal chronic care? No
Phenomenal results for a medicine to treat obesity
Once-Weekly Semaglutide in Adults with Overweight or Obesity | NEJM nejm.org/doi/full/10.10…
And look at all the metabolic benefits of the weight loss:
lower glucose,
lower DBP,
lower TG,
lower CRP
Aug 20, 2020 • 6 tweets • 3 min read
(L) 2010, human genetics:
1st suggestion ANGPTL3 inactivation can lower LDL
*the world’s leading killer
*is rising in prevalence worldwide
*present day, chronic care medicines and lifestyle recommendations not adequately changing that reality
@connoremdin noticed that gene variants affect cirrhosis in same direction, similar effect size regardless of underlying etiology (fatty liver, alcohol, viral)
Mar 27, 2019 • 4 tweets • 4 min read
Excited about real-world data (ie, electronic health records) for causal inference? a cautionary tale👇🏾
in @uk_biobank analysis LDL extremes & risk for future coronary disease (one of surest causal relationships in medicine) by @jpirruccello yields:
WRONG ANSWER
What happened?
Answer: confounding based on LDL-lowering treatment at entry into @uk_biobank
(L) plot without accounting for lipid-lowering therapy
(R) plot after accounting for lipid-lowering therapy at baseline (about 17% of participants on lipid-lowering Rx at entry)