# Paul Saladino LDL, ApoB, and LMHR Risk Framing > TG down and HDL up do not cancel extreme ApoB. Measure; do not reassure by vibe. *Published 2026-07-10 · Updated 2026-07-10 · By Marcus Chen* In short Carnivore and very-low-carb animal-heavy patterns frequently raise **LDL-C and ApoB** (Lennerz subset median LDL ~**172 mg/dL**) while TG fall and HDL rises. **LMHR** shows extreme LDL on carb restriction. Mainstream prevention treats ApoB/LDL as causal risk markers; high-LDL-is-benign-in-context claims remain unproven for hard outcomes. Marker discordance is not moral victory. Show the full panel. *This article is informational and editorial only. It is not medical advice, diagnosis, or a treatment plan. Numbers and literature ranges cited here are not personal prescriptions. Consult a qualified clinician before changing medications, supplements, diet, equipment, or management of a diagnosed condition. Seek urgent care for emergencies.* ## What did the Lennerz survey show—and not show? n≈2029 self-selected carnivore adults, median age 44, majority male, median duration about 14 months, high self-reported satisfaction. Among those reporting lipids, LDL was markedly elevated with higher HDL and lower TG patterns in secondary summaries. Online survey survivor bias underestimates harm and overestimates benefit. Not randomized; not hard-outcome proof of safety. ## How does LMHR change the conversation? Lean people in deep ketosis can show extreme LDL with high HDL and low TG. Carb titration experiments can test LDL responsiveness. Fruit-inclusive animal-based patterns may moderate ketosis-driven LMHR magnitude for some—hypothesis grade C; measure, do not assume. Key reference points MetricReported figure Lennerz median LDL (subset)~172 mg/dL Survey n2029 Male share~67% Hard-outcome RCT of carnivoreNone adequate ApoB as risk marker (general)High confidence ## What does mainstream risk science say about ApoB? Cumulative ApoB exposure drives atherosclerosis in the broader genetic and pharmacologic evidence base. Extreme LDL for years is not a free lunch pending definitive LMHR outcome trials. Plaque imaging studies in high-LDL keto groups are evolving and contested—insufficient for long-term safety claims. ## What practical rules apply? Baseline plus follow-up lipids/ApoB for anyone adopting animal-based or carnivore eating. Do not reassure extreme LDL with TG/HDL alone. Refer established ASCVD or FH phenotypes before high-SFA animal diets. Document lean + high LDL as research context, not proof of safety. Sources: [Lennerz carnivore survey](https://pubmed.ncbi.nlm.nih.gov/34934897/); [Norwitz LMHR context](https://pmc.ncbi.nlm.nih.gov/articles/PMC9048595/); [Norwitz LMHR elevated LDL](https://www.lipidjournal.com/article/S1933-2874(22)00295-1/fulltext). Readers should dual-source primary literature, translate slogans into exposure units and effect sizes, and rank interventions by expected value under uncertainty. Cheap reversible steps often outrank extreme protocols. Opportunity cost is real: hours spent on unvalidated tests are hours not spent on sleep, training, protein adequacy, and primary care. Sex, life stage, comorbidities, medications, and geography change interpretation. Prefer falsifiable claims with named endpoints over multi-disease cure lists. Update beliefs when stronger trials appear rather than freezing identity around a single paper or influencer narrative. Measured curiosity beats both panic and complacency. Further reading should prioritize primary sources and consensus documents over secondary social summaries. When evidence is mixed, state both the signal and the limits in the same paragraph. When evidence is strong, still avoid overclaiming universality across populations. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. Context, dose, endpoint, and population must travel together; slogans that drop any of those four are not finished claims. ## Sources 1. [Lennerz carnivore survey](https://pubmed.ncbi.nlm.nih.gov/34934897/) 2. [Norwitz LMHR context](https://pmc.ncbi.nlm.nih.gov/articles/PMC9048595/) 3. [Norwitz LMHR elevated LDL](https://www.lipidjournal.com/article/S1933-2874(22)00295-1/fulltext) --- Source: https://healthcanon.com/metabolic-health/paul-saladino-ldl-apob-lmhr Index: https://healthcanon.com/llms.txt · Full text: https://healthcanon.com/llms-full.txt