I'm Sharon Milani, Co-Founder/Director at NutriFlex(r) (SmartPack, Cape Town). I build Act 36 registered supplements in a human-grade FSA accredited facility, so I live in evidence, labeling accuracy, and "what actually moves a biomarker" (in my lane it's plaque/biofilm; the pattern matches triglycerides: you manage a pathway, not a symptom). 1) "Go low-fat or fat-free" - do "low-distortion and dose-controlled": stop swapping whole foods for ultra-processed "free-from" products and start reading the ingredient panel for sugars/starches/alcohols that quietly drive metabolic load; the practical move is to keep meals simple and consistent enough that a repeat lab can tell you what changed. 2) "You can tell by symptoms" - do "measure and track": with plaque you can see tartar but the systemic part is invisible; same principle--treat triglycerides like hidden buildup and schedule fasting labs, then repeat after one intentional change. 3) "Only high body weight" - do "risk-based screening": I see "looks fine" pets with aggressive oral biofilm because the driver isn't appearance, it's biology + routine; same idea--ask for a lipid panel because phenotype doesn't rule it out. 4) "It's genetic so nothing I can do" - do "genetics sets the ceiling, habits set the dial": in DentaMaxtm we lean on systemic mechanisms (what gets absorbed and excreted can change outcomes), and with triglycerides the actionable version is: pick one controllable lever (alcohol, sugary drinks, late eating, sedentary weeks) and prove impact on your next panel. My extra myth: "All 'natural' options are automatically safe." In my work with Ascophyllum nodosum I obsess over iodine transparency and compliance because "natural" can still be the wrong dose for the wrong individual; same energy for OTC fish oils/niacin/red yeast rice--treat them like real interventions, tell your clinician, and match product choice to your labs and meds.
I'm a Harvard-trained physician who's spent 20+ years in private practice in L.A., and my book *Feed Your Face* is basically about how what you eat shows up in your skin (and yes, your labs). I've also seen how "silent" metabolic issues sneak up on busy people who look fine on camera or on a movie set. 1) "Go low-fat or fat-free" - Don't reflexively cut all fat; cut *the stuff that drives triglycerides up*, especially liquid sugar and refined starches. I tell patients to build meals around protein + fiber (eggs/Greek yogurt + berries/chia; salmon/chicken + big salad + beans) and use fats that help you feel full (olive oil, nuts, avocado) instead of chasing "fat-free" labels. 2) "You can tell by symptoms" - You usually can't; high triglycerides are famous for being quiet until a lab shows it. What I want people to do instead is treat labs like dental cleanings: routine, boring, preventative--get checked and track trends, not vibes. 3) "Only people at a high body weight" - I've had plenty of normal-weight, high-stress professionals with "clean" looking diets whose triglycerides were pushed up by alcohol, sweet coffee drinks, late-night takeout, and poor sleep. The move is to audit the sneaky inputs (weekend cocktails, juice/smoothies, "healthy" granola) and fix the repeat offenders. 4) "It's genetic so nothing I can do" - Genetics loads the gun; routines pull the trigger. I ask for a 28-day experiment: no sugary drinks, cap alcohol, 25-30g protein per meal, add soluble fiber daily (beans/lentils/oats/chia), and take a 10-15 minute walk after your biggest meal--then recheck. 5) Extra myth: "If my cholesterol is fine, my triglycerides don't matter" - Triglycerides often reflect how you're handling carbs/alcohol and can be the early warning light even when other numbers look "okay." I want people to stop negotiating with the label "normal" and start optimizing the inputs they control (sleep, stress, meal timing, and what you drink).
My background is in computational genomics and precision medicine -- I spend my days asking why the same condition presents differently across patients and how data can explain that. Triglycerides are a perfect example of where population-level thinking completely breaks down at the individual level. **"Go low-fat or fat-free"** -- the real driver of elevated triglycerides is often refined carbohydrates and sugars, not dietary fat itself. Swapping butter for a fat-free processed snack loaded with sugar can actively worsen your lipid panel. The actual lever is reducing carbohydrate load, not chasing a fat-free label. **"You can tell by symptoms"** and **"only high body weight"** belong together -- both assume your body signals the problem visibly. In genomics research we see this constantly: patients with perfectly "normal" clinical appearances carrying significant metabolic risk variants. Your phenotype doesn't protect you. A fasting lipid panel is the only way to know. **"It's genetic, so nothing I can do"** is the one I push back on hardest. Working on precision medicine platforms, I see how genetic predisposition sets a range -- your lifestyle choices determine where within that range you actually land. We worked with datasets showing patients with identical risk variants having dramatically different outcomes based on modifiable behaviors. Genetics loads the gun; your daily habits decide whether it fires.