1/9 Big recent updates to #VitaminD#COVID19 evidence & thus now also to my review agingbiotech.info/vitamindcovid19: 3 highly cited preprints are out but even better studies replace them, including finally a large study of records from a big org. Main take-homes remain the same. Details:
2/9 2 preprints including very cited n=780 Indonesian study now withdrawn from SSRN. Another (Alipio's) suspected of being fraud. Details in section 9 of the review. All 3 removed from my 1pager summary agingbiotech.info/vitamindcovid1…. I now apply a new standard for preprints with data:
3/9 For preprints with D & C19 case data, I only include if author affiliations can be web-verified & authors have relevant pre-2020 publication records. With the 3 preprints removed, the evidence was still compelling. Now I've added 3 additional studies to the 1pager & review:
4/ On low-D correlation to C19 severity: Merzon etal's Israel study of 782 C19+ cases & De Smet etal's Belgium study of 186 cases now added to Panagioteu etal's UK study of 134 cases (& the handful of n<50 studies). Now 1100+ cases w/ low-D correlated to 3 measures of severity:
5/9 hospitalization vs. not, intensive-treatment-unit admission vs. only hospitalization, & chest CT categorization of severity. Together the data suggests low D worsens progression at multiple disease stages. See section 8. Already strong causality evidence also a bit better:
6/ Added Kohlmeier's Mendelian randomization study, which is 1-step better than typical group correlation studies by considering race & latitude. Confounders that could explain this data seem far less likely (eg racial economic disadvantages worsening w/ latitude moving north).
7/9 Merzon's study worth special attention as the 1st study from an org w/ many records. 14k/730k patients C19 tested, 7807/14k had 25OHD. Controlling for more confounders than any other studies so far, adjusted OR of infection 1.5 & OR of hospitalization if infected 1.95. So
8/9 overall low D patients had ~3x odds of hospitalization for C19. On low-D correlation to infection risk (vs case severity): With D'Avolio's & Meltzer's studies overall evidence now tilted against Hastie's & Darling's UK Biobank papers w/ the too-old D tests. See section 11.
9/9 Merzon's Fig-3 shows how few D>30ng/ml cases get hospitalized, esp. at younger ages. How many fewer deaths if everyone had adequate D? More orgs w/ many patient records need to publish data like this & add later measures of severity/outcome. NHS, Kaiser, VA, etc. Who's next?
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High vs low protein intake for long-term health & longevity remains controversial even among experts. Recs range from <=0.8-2.2g/kg, 10-30+% cals f/ protein.
Here's a quick collection of refs, thoughts, & summaries synthesizing many prior conversations & lines of research.....
High level summary is science on both sides:
Aging science: Protein restriction (PR) consistently extends health/lifespan in model species. Protein ↑ mTOR & mTOR inhibition ↑ lifespan.
Sports science: More protein improves body composition (↑ muscle) in humans short-term.
Experts on both sides.
Low protein:
Valter Longo, Luigi Fontana, Dean Ornish, Michael Greger, ...
High protein:
Peter Attia, Matt Kaeberlein, many that come more from the sports/performance optimization fields, ...
(Not meant to be comprehensive lists)
Short report: The state of the mitochondria portion of the aging biotech field:
50 companies!
$1.4+B raised
700+ people
150+ clinical trials
many MoAs/targets:
mitophagy, transplant, fission, NAD+, UrolithinA, CD38, PINK1, PPARδ, DRP1, USP30, Complex 1, OMA1, & more
Read on:
Why is this important?
Mitochondria are central to aging:
It's one of both the original 9 Hallmarks & 7 SENS areas.
It's one of the subareas most directly tied to other subareas.
It's one of the subareas with the most direct relevance to a wide variety of age-related diseases.
This is also a sneak preview of part of the in-progress big update/overhaul of , now 40-50% done overall. Everything described in this thread comes directly from this database. The full new version will replace the current list when closer to 100% done.AgingBiotech.info/companies
New PEARL rapamycin study vs CALERIE mild (12%) CR study 🧵:
CR & rapa both ↓mTOR. But frustrating the designs aren't more apples-apples. Many things improved by 1 not reported in other. (Also unfortunate for both we don't have more direct biomarkers of mTOR pathway activity.)
We want to estimate long-term benefit. What do these 2 short (relative to lifespan) 1-2yr studies tell us?
What metrics can we directly compare?
See below...
(Links to all papers included below too.)
Frustrating study diffs:
Eg very diff ages: ~38 (CALERIE), ~62 (PEARL)
Frustrating metric diffs:
CR improved BMI, bodyfat%, BP, insulin, & pace of aging, all unreported for PEARL. (End BMI not in any table. Visceral fat reported but not total fat.)
Direct-to-consumer aging clocks give very inconsistent answers. I tried TruDiagnostic, Elysium, GlycanAge, & reg blood draw for PhenoAge on same day in Feb & from same venous blood draw at LabCorp, except Elysium's uses saliva which I did right before going to LabCorp. Notes: 🧵
I chose these 4 clocks for the same-day comparison since they are most respected & used clocks avail to consumers currently. Specific reasons for each:
@TruDiagnostic: team (eg @RyanSmithEpiAge, @VarunDw, @EverythingEpi) comes & presents at aging confs regularly, its the basis for the leaderboard Bryan Johnson's team maintains, they licensed DunedinPACE, & they provided an intrinsic vs extrinsic split per the mix change of immune cell types issue @alantomusiak from Eric Verdin's lab identified recently as a problem with most clocks.
Elysium briefly had @DrMorganLevine as advisor & she supposedly helped develop the 100k+ cpg site Index test, which should be robust to the test-retest variability issue that her recent PC clock paper identified as a problem with most clocks. (TruDiagnostic's clock is also supposed to be robust wrt this issue.)
@GlycanAge: team (@GordanLauc, @entreprylexia) also comes & presents at aging confs & its based on a completely different signal.
PhenoAge (also from @DrMorganLevine) is a gen2 clock that's widely used even clinically by notable longevity expert doctors, & it was easy to add with just a basic blood draw.
Not gonna give all details on which # from which clock but top lines results were all over the place. The 4 age point estimates: 20, 40, 50, 55.
This was a bigger spread than I expected.
2 tests give rate of aging & these also had a big range: 0.77 & 0.95.
Data from the new TargetD trial suggests that prior vitamin D trials were flawed:
Many people, even professionals, still think vitamin D was a false profit that was disproven by big RCTs. This view is very flawed, for several reasons. A brief history:news-medical.net/news/20231113/…
For decades, thousands of studies have shown reliable correlation of low vitamin D levels & bad health outcomes. Scientifically, the proper way to test the hypothesis that this correlation is causal is RCTs that meaningfully alter the low vitamin D status & then measure outcomes.
Heaney in 2014 published trial design guidelines for nutrients saying essentially the above.
Rule 4 was "The hypothesis to be tested must be that a change in nutrient status (not just a change in diet) produces the sought-for effect."academic.oup.com/nutritionrevie…
Highly recommend the most recent good review of mechanisms of action of vitamin D affecting Covid risk pubmed.ncbi.nlm.nih.gov/35308241/
by notable Irish researchers who've published in the area throughout the pandemic.
Notable: Directly addresses satisfying Hill's Criteria for causation.
Image is Fig 2: "Molecular pathways in the pathology of Covid-19 thought to be affected by vitamin D"
That's a lot of diff Covid related biology affected by vitamin D!
Some direct quotes f/ the main text of the paper are worth repeating here:
🧵
"Applying the Bradford-Hill criteria [..] the collective literature supports a causal association between low vitamin D status, SARS-CoV-2 infection, and severe COVID-19 [..] A biologically plausible rationale exists for these findings"