Thanks to work by @pmyhre in our group, we have some new and interesting data.
A 🧵, read on! 👇
When the #PARADIGM-HF study was published, one of the things immediately noticed was the increase in BNP that occurred after being started on sacubitril/valsartan.
This is because through effect of sacubitril, neprilysin is inhibited. Why might this lead to an increase in BNP?
#Neprilysin is a ubiquitous metalloproteinase that assaults BNP (among other targets including ANP and CNP) and cleaves it in numerous places as shown.
Note that in BNP, there are cleavage sites that involve numerous places where immunoassays for measurement of BNP may bind.
Thus, the results from PARADIGM seemed to make sense: as published by @pmyhre, BNP on average by 19%, doubling in 18%, and tripling in 6%.
#NTproBNP is not a target for nep, making it a superb monitoring tools for prognosis when using sacubitril/valsartan.
Therefore, most that measure biomarkers in heart failure agree that NT-proBNP is the preferred means by which to monitor prognosis and longitudinal remodeling status in those treated with sacubitril/valsartan.
Policy documents and guidelines say this as well.
But there's more!
After PARADIGM-HF, word began to circulate that with some frequency some patients treated with sacubitril/valsartan did not show the "expected" rise in BNP.
We decided to examine this question. To do so, we utilized the resources of the #PROVEHF and #EVALUATEHF studies.
In this analysis, we examined BNP changes from initiation/titration of sacubitril/valsartan, using the Siemens BNP method (the same one from PARADIGM).
And we found: ZERO increase in BNP. NT-proBNP fell by 30%.
Across all the concentration changes of BNP and NT-proBNP, the difference was the same: 30%. So if NT-proBNP went down by 50%, BNP fell by 20%. If NT-proBNP went up by 10%, BNP rose by 10%.
Predictors of BNP increase were predictable: worse clinical picture, lower BMI, AF, etc.
Stated another way, increase in BNP in this analysis was pegged to prognosis.
"But wait a minute" you might be saying, "you told me that neprilysin degrades BNP, so why isn't it rising?"
The 30% offset from NT-proBNP tells the story: indeed, BNP is RISING due to nep inhibition...however due to down regulation of the BNP gene, this offsets the rise.
How do we reconcile different results from PARADIGM?
In both PROVE and EVALUATE, we did not have an NT-proBNP inclusion criterion, did not have a run in period, and did not remove individuals that could not reach target doses. This may have something to do with it.
What do these results mean?
First, one should take away from this is the fact that lack of rise in BNP after S/V treatment should NOT be inferred as a "lack of effect" from neprilysin inhibition.
It also means that BNP rise is unlikely to explain all the benefit of S/V.
What neprilysin target might explain the suppression of the BNP gene and rise in cyclic GMP?
We previously reported a HUGE rise in #ANP from these same samples. ANP is a major target for neprilysin and drove reverse remodeling in PROVE-HF.
So, can BNP be used to monitor persons treated with sacubitril/valsartan?
Yes. Yes it can. But it may be tricky. So these results do not change the current recommendations that NT-proBNP is preferred for this application whenever possible.
One last question...
In PARADIGM and this analysis, the Siemens BNP assay was used. Since neprilysin cleaves BNP in multiple places where different immunoassays may bind, is it possible that sacubitril/valsartan differentially affects BNP if measured by assays using different antibody binding sites?
--unexplained mild "LVH"
--PAF that has little explanation
--spinal stenosis
--carpal tunnel
--orthostatic hypotension
--bruising
--lack of EF response to #GDMTworks
--Diuretic sensitivity
--Higher biomarkers "than they should be"
Why are biomarkers higher in amyloid? It has mainly to do with direct myocardial toxicity of the amyloid protein, and NOT congestion/ischemia in most cases.
hs-cTn is almost universally elevated.
Both NPs and hs-cTn are prognostic, regardless of their 'decoupling' from HF/MI.
Here's an intriguing analysis just published in Diabetes Care by the great folks at @AmDiabetesAssn and @ADA_Journals. We examined concentrations of insulin-like growth factor binding protein-7 (IGFBP7) at BL and 1Y in the CANVAS study.
Though IGFBP7 "looks like" an IGF binder, it is lousy at this job. But IGFBP7 has other roles: it is a cell cycle arrest biomarker in the 'senescence associated secretory phenotype'.
When cells are exposed to IGFBP7 in excess, fibrosis follows.
2/
We previously found IGFBP7 was associated with cardiac structural and functional abnormalities and outcome in patients with heart failure, but we were interested to see how it would act in patients with #T2D, such as those in CANVAS.
I just finished reading another poorly-composed position paper from a major society regarding COVID19 with recommendations based on a handful of sometimes questionable papers and have a few thoughts. 1)
The pandemic has put a terrible strain on everyone. It's been very, very difficult and very frightening. What some institutions went through will leave them scarred for years to come. All of this has left people hungry for high quality science informing treatment decisions. 2)
The desire for rapid data is understandable. But there's a dark side that many of us have observed: authors have rushed papers to publication that on any non-pandemic day would have been desk rejects, but in the current environment have been published in major/top journals. 3)
2/Why "trend troponin to peak" anyhow? Most do it to "size" the infarct; specifically, the concept is that the amount of troponin efflux from necrotic tissue is proportional to the size of the infarct.
But is this true? Is it accurate?
3/In a very nice review (karger.com/Article/Fullte…) Hallen makes the important point that infarct size and troponin kinetics ARE modestly correlated (r values of 0.5-0.75), BUT best data are with STEMI. We don't need troponins to diagnose or estimate infarct size in STEMI.