Bettering Me

Tag: blood panel

  • Your HbA1c Can Be 5.2 While Your Pancreas Is Running a Marathon Every Day. Catch the Signal Before the Metric Breaks

    Written by

    Unpaid Intern

    –

    A hemoglobin A1c of 5.2% is considered excellent by clinical standards. Normal glucose. Low diabetes risk. Pass the physical. Your doctor tells you everything looks great, come back in a year. The problem is that HbA1c and fasting glucose are late-stage indicators – they measure the outcome of compensation, not the compensation itself. By the time these metrics break, the compensatory mechanism has been failing silently for years.

    To understand why, you have to understand what the pancreatic beta cell does when insulin sensitivity declines. When muscle and fat cells become less responsive to insulin, glucose remains in the bloodstream instead of being cleared into tissues. The beta cell responds by secreting more insulin – sometimes two to three times the normal amount – to force the glucose into cells [1]. This is the compensatory phase. Glucose remains normal because insulin is elevated. The system looks healthy from the outside because the beta cell is doing heroic work. But that heroism is not sustainable.

    By the time fasting glucose crosses 100 mg/dL or HbA1c exceeds 5.7%, the beta cells have been operating at elevated output for years, and some have already begun to fail. The metric breaks only when the compensatory mechanism exhausts.

    The real metric is fasting insulin.

    Fasting insulin above 10 µIU/mL in the context of a “normal” glucose means your pancreas is secreting excess insulin to overcome reduced sensitivity. The HOMA-IR calculation – (glucose × insulin) ÷ 405 – transforms this into a single number. A HOMA-IR above 2.0 signals that your body needs more insulin than it should to maintain normal glucose [2]. Above 2.5, you are meaningfully insulin resistant, even if every glycemic metric in your chart is pristine.

    The glucose looks fine because the insulin is doing triple shifts. This is not a healthy state. It is a compensated state, and compensation eventually fails.

    The fix at this stage is not medication – it is the sequence of carbohydrate intake, muscle glucose disposal capacity, and the overnight fast window length. These three levers address the root cause of the insulin demand without restricting your diet or adding complexity.

    Carbohydrate sequencing – moving starches and sugars to the end of the meal, after protein, fiber, and vegetables – reduces the postprandial glucose spike by slowing gastric emptying and blunting the insulin demand [3]. This is not a different diet. It is a different order of the same food. A meal of grilled chicken, broccoli, and sweet potato produces a smaller glucose excursion when eaten in that sequence (protein first, vegetables second, starch last) than when the starch is eaten first. The mechanism is mechanical – fiber and protein slow gastric emptying, which delays and attenuates the glucose absorption curve.

    Muscle glucose disposal is the largest glucose sink in the body. Skeletal muscle accounts for approximately 70-80% of insulin-mediated glucose uptake. Resistance training increases GLUT4 translocation – the mechanism by which muscle cells pull glucose out of the bloodstream – and this effect is independent of insulin [4]. A single resistance session increases muscle glucose uptake capacity for 24-48 hours. Two sessions per week functionally increase your glucose storage capacity by expanding the muscle mass available to absorb it. This is why resistance training is a more effective metabolic intervention than carbohydrate restriction for most people.

    The overnight fast window – 12 hours between dinner and breakfast – allows insulin to return to baseline and restores hepatic insulin sensitivity [5]. This is not intermittent fasting for weight loss. It is a metabolic reset window that costs nothing. The 12-hour window is achievable by anyone who finishes dinner by 7 PM and has breakfast after 7 AM. Extending to 14 hours provides additional benefit, but 12 hours is the evidence-based minimum for allowing insulin to clear and hepatic glucose production to reset.

    Counterpoint: what if fasting insulin is normal but postprandial glucose spikes high? This is a legitimate concern, particularly for certain metabolic phenotypes. Normal fasting insulin with high postprandial excursions may indicate impaired early-phase insulin secretion or reduced incretin signaling. A 75g oral glucose tolerance test with insulin measurements at 0, 60, and 120 minutes provides more resolution than fasting values alone. If this pattern applies to you, the carbohydrate sequencing protocol becomes even more critical, and adding 10-15 minutes of light walking immediately after meals is one of the most effective interventions available.

    The signal is not the metric. The signal is the compensatory effort behind the metric. Bettering Me recommends catching that signal before the metric breaks. Measure fasting insulin. Calculate HOMA-IR. Sequence your meals. Build your glucose disposal capacity. And give your pancreas a 12-hour overnight break. It is doing work you cannot see – until the day it cannot do it anymore.

    The cost of catching it early. Fasting insulin costs approximately $20-40 out of pocket. HOMA-IR is a free calculation. Carbohydrate sequencing costs nothing. The 12-hour overnight fast costs nothing. Two resistance sessions per week costs a gym membership. The alternative – waiting for HbA1c to cross 5.7% – carries a much higher long-term cost in medications, monitoring, and complications. The early signal is cheaper than the late diagnosis in every meaningful sense.

    Disclaimer: This post is for inspiration and education, not medical advice. Everyone’s body is different, so please check with your doctor before changing your diet, exercise, or lifestyle routine. By using these tips, you agree to do so at your own risk.

    References

    [1] Kahn SE, Hull RL, Utzschneider KM. "Mechanisms linking obesity to insulin resistance and type 2 diabetes." *Nature*. 2006;444(7121):840-846.. DOI: https://doi.org/10.1038/nature05482

    [2] Matthews DR, et al. "Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man." *Diabetologia*. 1985;28(7):412-419.. DOI: https://doi.org/10.1007/BF00280883

    [3] Shukla AP, et al. "Carbohydrate-last meal pattern lowers postprandial glucose and insulin excursions in type 2 diabetes." *BMJ Open Diab Res Care*. 2017;5(1):e000440.. DOI: https://doi.org/10.1136/bmjdrc-2017-000440

    [4] Holten MK, et al. "Strength training increases insulin-mediated glucose uptake, GLUT4 content, and insulin signaling." *Diabetes*. 2004;53(2):294-305.. DOI: https://doi.org/10.2337/diabetes.53.2.294

    [5] Sutton EF, et al. "Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress." *Cell Metab*. 2018;27(6):1212-1221.e3.. DOI: https://doi.org/10.1016/j.cmet.2018.04.010

  • Standard Lipid Panels Were Designed for Late-Stage Detection – Not for Prevention at 45

    Written by

    Unpaid Intern

    –

    The standard lipid panel that your doctor orders – total cholesterol, LDL-C, HDL-C, triglycerides, and sometimes VLDL – was designed in the Framingham era to detect people at immediate risk of cardiovascular events. It was optimized for a specific clinical question: is this person about to have a heart attack? That question is not the same as the prevention question: is this person on a trajectory toward cardiovascular disease in 20 years?

    The most common misunderstanding is what LDL-C actually measures. LDL-C estimates the mass of cholesterol carried inside LDL particles. It does not count the particles themselves. ApoB – apolipoprotein B – counts every atherogenic particle in circulation, including LDL, VLDL, IDL, and Lp(a), because each of these particles carries exactly one ApoB molecule [1]. The distinction matters because the particles cause plaque, not the cholesterol inside them.

    Think of it this way: LDL-C is like measuring the total weight of cars on a highway. ApoB is like counting the cars themselves. If car manufacturers start making lighter cars, the total weight goes down while the number of cars stays the same – and it is the cars, not their weight, that determine traffic and collision risk. The cholesterol inside a lipoprotein particle is cargo. The particle density determines how many get trapped in the arterial wall.

    Two people can have identical LDL-C levels while one has twice as many atherogenic particles. This discordance occurs because LDL particles vary in size and cholesterol content. People with predominantly small, dense LDL particles have “normal” LDL-C (because each particle carries less cholesterol) but high ApoB – and therefore higher cardiovascular risk that the standard panel misses entirely [2]. The prevalence of this discordance is approximately 15-20% in the general population, and higher in people with insulin resistance, type 2 diabetes, and elevated triglycerides.

    The test your doctor orders was designed in a clinical context where the goal was to identify people who needed statin therapy to prevent near-term events. For that purpose, LDL-C works reasonably well at the population level. But if you are 45 years old, asymptomatic, and paying for prevention, LDL-C leaves important information on the table.

    What should a prevention-focused lipid panel include? The Bettering Me minimum is: ApoB, Lp(a) (checked once), non-HDL cholesterol, triglycerides, and HDL-C. Non-HDL cholesterol (total cholesterol minus HDL-C) is a reasonable proxy when ApoB is unavailable – it captures all atherogenic lipoproteins and correlates well with ApoB at the population level [3]. But it is still a proxy. ApoB is the direct measure.

    Lipoprotein(a) – Lp(a) – should be checked once in a lifetime. It is 80-90% genetically determined and does not respond significantly to lifestyle intervention [4]. A single high reading (above 50 mg/dL or above 125 nmol/L, depending on the assay) means you need aggressive ApoB management because your baseline atherogenic particle production is genetically elevated. The European Atherosclerosis Society recommends that everyone be tested for Lp(a) at least once [4]. A high reading does not mean you are doomed – it means you should target an ApoB below 70 mg/dL instead of below 100 mg/dL.

    What about optimal ApoB targets? For primary prevention in a 45-year-old with no known cardiovascular disease, an ApoB below 100 mg/dL is the minimum acceptable. Below 90 mg/dL is optimal. Below 80 mg/dL is aggressive [3]. These targets are lower than what most clinical guidelines recommend because the guidelines are designed for population-wide risk management, not individual optimization. If you have Lp(a) above 50 mg/dL, traditional risk factors (hypertension, smoking, diabetes), or a family history of premature cardiovascular disease, your target should be below 70 mg/dL.

    Counterpoint: isn’t LDL-C good enough for most people? At the population level, yes – LDL-C correlates with cardiovascular risk well enough that guidelines use it. But you are not a population. You are an individual. If you are in the 15-20% of people whose risk is discordant with their LDL-C, the standard panel is misleading you. The cost of checking ApoB is approximately $30-50 out of pocket if your insurance does not cover it. A standard lipid panel costs $50-100. The incremental cost of knowing your true risk is approximately $30. Compared to what you spend on supplements, gym memberships, and organic food, that is the cheapest prevention dollar you can spend.

    The standard panel is not useless. It is incomplete for the prevention context. Knowing your LDL-C without knowing your ApoB is like knowing your speed without knowing whether you are driving on a straight road or a winding mountain pass. The speed is useful. The context determines the risk. Pay for the context.

    Practical guidance for your next lab visit. When your doctor orders “lipid panel,” you get total cholesterol, LDL-C, HDL-C, triglycerides, and VLDL. To get ApoB, ask for “apolipoprotein B” – CPT code 82172. To get Lp(a), ask for “lipoprotein (a)” – CPT code 83695. Some labs bundle these as an “advanced lipid panel” or “cardiovascular risk panel.” Cost: approximately $50-100 out of pocket for the add-ons if insurance declines. Most major labs offer cash-pay direct ordering. If ApoB is not available, non-HDL cholesterol (total minus HDL) is an acceptable surrogate – and most standard panels already report non-HDL-C. If non-HDL-C is above 130 mg/dL, you can infer your ApoB is likely above 100 mg/dL, and you should push for the direct ApoB measurement.

    Disclaimer: This post is for inspiration and education, not medical advice. Everyone’s body is different, so please check with your doctor before changing your diet, exercise, or lifestyle routine. By using these tips, you agree to do so at your own risk.

    References

    [1] Sniderman AD, et al. "A meta-analysis of LDL-C, non-HDL-C, and ApoB as markers of cardiovascular risk." *Circ Cardiovasc Qual Outcomes*. 2011;4(3):337-345.. DOI: https://doi.org/10.1161/CIRCOUTCOMES.110.959247

    [2] Otvos JD, et al. "Clinical implications of discordance between LDL-C and particle number." *J Clin Lipidol*. 2011;5(2):105-113.. DOI: https://doi.org/10.1016/j.jacl.2011.02.001

    [3] Sniderman AD, et al. "Apolipoprotein B Particles and Cardiovascular Disease: A Narrative Review." *JAMA Cardiology*. 2019;4(12):1287-1295.. DOI: https://doi.org/10.1001/jamacardio.2019.3780

    [4] Kronenberg F. "Human Genetics and the Causal Role of Lipoprotein(a)." *Cardiovasc Drugs Ther*. 2016;30(1):87-100.. DOI: https://doi.org/10.1007/s10557-016-6648-3

  • “Biological Age” Tests Are Mostly Useless. There Are Three Numbers That Actually Tell You Where You Stand

    Written by

    Unpaid Intern

    –

    Epigenetic clocks and biological age panels are the wellness industry’s latest anxiety product. They cost between $200 and $500, spit out a single number – “your biological age is 38 but your chronological age is 45” – and send you into either celebration or despair. The problem is that these numbers correlate weakly with actual hard outcomes in middle-aged populations, change too slowly to guide interventions, and create a false sense that aging is a single metric that can be addressed with a protocol [1].

    There are three different types of epigenetic clocks, and understanding the differences reveals why they are not ready for individual clinical use. The Horvath clock measures methylation at 353 CpG sites and was designed to predict chronological age, not health. It is remarkably accurate at telling you how old you are – which is information you already had. The PhenoAge clock was trained to predict all-cause mortality and is more clinically relevant, but it incorporates routine clinical biomarkers (albumin, creatinine, glucose, etc.) that are more informative on their own than the methylation component. The DunedinPACE clock measures the pace of aging rather than current biological age and is arguably the most useful of the three, but it still changes over months to years – far too slowly to tell you whether your new exercise protocol or sleep intervention is working.

    The fundamental problem is not the science. The methylation patterns are real and interesting. The problem is clinical utility. By the time an epigenetic clock changes meaningfully, you could have measured the actual outcome directly. You could have tested your VO2 max, drawn your ApoB, calculated your HOMA-IR – and gotten feedback you can act on today.

    There are three numbers that actually tell you where you stand regarding your biological trajectory. They are cheap, actionable, and change within weeks of intervention.

    ApoB – your cardiovascular ceiling. This is the single most predictive blood marker for atherosclerotic disease, which remains the primary cause of death in aging populations. If your ApoB is above 90 mg/dL at age 45, your vascular system is accumulating damage even if your LDL-C looks fine [2]. The intervention response – lifestyle modification, dietary change, and if necessary, pharmacological therapy – can be measured in weeks, not years.

    Fasting insulin – your metabolic trajectory. Above 8-10 µIU/mL with normal glucose means your body is producing excess insulin to maintain glucose homeostasis. This is the earliest measurable sign of metabolic aging. It precedes glucose dysregulation by 5-10 years in most people. And it responds to intervention – two resistance sessions per week and a 12-hour overnight fast can reduce fasting insulin by 20-30% in 8-12 weeks.

    VO2 max – your functional ceiling. This is the single best predictor of all-cause mortality in middle-aged and older adults, outperforming every blood marker in head-to-head comparisons [3]. It measures your aerobic capacity directly – not a proxy, not a correlate, not a methylation pattern that may or may not correlate with an outcome. It tells you where you are relative to age-specific norms and whether your training is producing a measurable effect. VO2 max responds to consistent aerobic training at any age, and the changes can be detected within 4-6 weeks of a structured program.

    These three numbers cost approximately $100 total to measure (ApoB: $30-50, fasting insulin: $20-40, VO2 max estimate via submaximal protocol: $0-50). A single biological age panel costs $200-500. For the price of one epigenetic test, you could run the three anchors, get actionable results, and still have money left over.

    Counterpoint: aren’t epigenetic clocks validated? Yes, for certain specific use cases – predicting mortality in terminally ill populations, identifying accelerated aging in chronic disease cohorts, and studying the effects of interventions at the population level. The DunedinPACE clock, for example, has shown that people with higher pace of aging scores have worse physical function in their 40s and 50s [1]. But the effect sizes at the individual level are small enough that knowing your score does not change your clinical management. You would not treat a person with “biological age 40” differently from one with “biological age 48” – you would still optimize ApoB, fasting insulin, and VO2 max in both. The clock adds information that does not change the decision.

    Every dollar spent on a methylation test would be better spent on a DEXA scan and a maximal aerobic test. The simple numbers work. We just do not like how simple they are. We want a single number that tells us whether we are winning, and the epigenetic clock provides that – which is exactly why it is dangerous. It creates the illusion that aging is a static score rather than a dynamic trajectory.

    Bettering Me recommends knowing these three numbers before spending a cent on any biological age panel. The epigenetic clock tells you how old your DNA looks. ApoB, fasting insulin, and VO2 max tell you how old your body is actually functioning. One is entertainment. The other three are information.

    Disclaimer: This post is for inspiration and education, not medical advice. Everyone’s body is different, so please check with your doctor before changing your diet, exercise, or lifestyle routine. By using these tips, you agree to do so at your own risk.

    References

    [1] Bell CG, et al. "DNA methylation aging clocks: challenges and recommendations." *Genome Biology*. 2019;20(1):249.. DOI: https://doi.org/10.1186/s13059-019-1824-y

    [2] Sniderman AD, et al. "Apolipoprotein B Particles and Cardiovascular Disease: A Narrative Review." *JAMA Cardiology*. 2019;4(12):1287-1295.. DOI: https://doi.org/10.1001/jamacardio.2019.3780

    [3] Myers J, et al. "Exercise capacity and mortality among men referred for exercise testing." *NEJM*. 2002;346(11):793-801.. DOI: https://doi.org/10.1056/NEJMoa011858

  • There Are Only Three Blood Tests That Matter for Prevention. The Other Four Are Noise Until These Are Fixed

    Written by

    Unpaid Intern

    –

    The wellness industry has turned annual blood work into an anxiety generator. Lists of seven, ten, fourteen markers – each with an “optimal” range that shifts every time a supplement company publishes a blog post. The result is a population of people who are worried about their homocysteine while their cardiovascular ceiling is unknown, their metabolic trajectory is unchecked, and their inflammatory baseline is a guess.

    The Three Tests at a Glance

    • ApoB: Counts every atherogenic (plaque-forming) particle in circulation — a more accurate cardiovascular risk signal than standard LDL-C alone.
    • Fasting Insulin: Reveals insulin resistance years before fasting glucose rises, catching metabolic dysfunction at the earliest correctable stage.
    • hs-CRP: Measures chronic low-grade inflammation — the modifiable driver that accelerates atherosclerosis independent of lipid levels.

    The hierarchy of prevention blood work is not flat. It has three anchors, and everything else is a distraction until those three are addressed. These three markers form a tripod – each covers a domain no other test covers, and together they answer the three questions that determine whether your prevention strategy is working.

    ApoB is your cardiovascular ceiling. Apolipoprotein B counts every atherogenic particle in circulation – LDL, VLDL, IDL, and Lp(a) – because each of these particles carries exactly one ApoB molecule [1]. LDL-C, the standard metric, estimates the mass of cholesterol inside LDL particles. It does not count the particles themselves. The particles cause plaque, not the cholesterol inside them. ApoB tells you how many plaque-forming particles are circulating, regardless of how much cholesterol they happen to be carrying.

    This distinction matters because two people can have identical LDL-C while one has twice as many atherogenic particles. The person with many small dense LDL particles may have “normal” LDL-C (say, 110 mg/dL) but high ApoB (above 100 mg/dL), and their risk is higher than the person with the same LDL-C but low ApoB [2]. This discordance – the gap between what LDL-C says and what ApoB says – occurs in approximately 15-20% of the population. Those people are being misclassified by the standard panel.

    Fasting insulin is your metabolic trajectory. Fasting glucose is a late-stage indicator – by the time it rises above 100 mg/dL, your pancreatic beta cells have been compensating for years, secreting excess insulin to overcome reduced sensitivity [3]. A fasting glucose of 92 with a fasting insulin of 14 µIU/mL is not “normal.” It is a pancreas working triple shifts to keep the number flat. The threshold worth watching is insulin above 8-10 µIU/mL in the context of normal glucose. The simplest quantification is HOMA-IR: (fasting glucose × fasting insulin) ÷ 405. A value above 2.0 indicates insulin resistance. Above 2.5 signals significant metabolic dysfunction, even with pristine fasting glucose.

    hs-CRP is your inflammatory baseline. High-sensitivity C-reactive protein above 1 mg/L (and especially above 2 mg/L) signals a chronic low-grade inflammatory state that accelerates atherosclerosis independent of lipid levels [4]. The most common cause of elevated hs-CRP is visceral adiposity – fat tissue secretes IL-6, which stimulates hepatic CRP production. But it can also be driven by chronic infection (periodontal disease is a common hidden culprit), autoimmune conditions, or simply an inflammatory diet pattern. hs-CRP is modifiable: weight loss of 5-10% reliably drops it, as does consistent aerobic exercise, omega-3 intake, and eliminating ultra-processed foods. It is the cheapest, most telling measure of whether your lifestyle is producing a net anti-inflammatory effect.

    Homocysteine, vitamin D, thyroid panels, lipoprotein(a) – these matter, but they matter after the three anchors are known. A person with ApoB of 90 mg/dL, fasting insulin of 6 µIU/mL, and hs-CRP of 0.6 mg/L has more prevention information than someone who has all fourteen markers checked but none of these three. The “deep cuts” are for fine-tuning after the structural questions are answered.

    The exception is Lp(a) – lipoprotein(a) – which should be checked once in a lifetime because it is 80-90% genetically determined and does not respond to lifestyle [5]. But Lp(a) is not a substitute for ApoB. It is an additional risk modifier. Check Lp(a) once. If it is high, adjust your ApoB target downward (below 70 mg/dL instead of below 100). If it is low, never think about it again.

    The Bettering Me approach: fix the anchors first. Chase the edges only when the anchors are known and stable.

    The practical protocol for getting these tests. Most standard lab panels do not include ApoB or fasting insulin by default. You need to request them specifically. For ApoB: order “apolipoprotein B” (CPT 82172). For fasting insulin: order “insulin, fasting” (CPT 83525). For hs-CRP: order “C-reactive protein, high sensitivity” (CPT 86141). These three tests add approximately $60-90 to a standard blood draw if your insurance does not cover them. Direct-to-consumer labs like Quest and LabCorp offer them as individual add-ons. Life Extension, Marek Health, and several other direct-access providers offer prevention-focused panels that include all three.

    The retesting cadence. ApoB changes slowly – retest every 6-12 months unless you are on pharmacological therapy, in which case retest at 12 weeks post-initiation. Fasting insulin can change within 8-12 weeks of lifestyle intervention – retest at 12 weeks if you are making significant changes. hs-CRP is the most dynamic – it can shift within 4-6 weeks of weight loss, exercise adoption, or dietary change. A baseline measurement followed by a 12-week follow-up after intervention gives you a clear picture of whether your protocol is working.

    Your homocysteine is not going to kill you. Your ApoB, fasting insulin, and hs-CRP might – or might save you, depending on what you do with the information. Fix the anchors first. Then chase the edges.

    Disclaimer: This post is for inspiration and education, not medical advice. Everyone’s body is different, so please check with your doctor before changing your diet, exercise, or lifestyle routine. By using these tips, you agree to do so at your own risk.

    References

    [1] Sniderman AD, et al. "A meta-analysis of LDL-C, non-HDL-C, and ApoB as markers of cardiovascular risk." *Circ Cardiovasc Qual Outcomes*. 2011;4(3):337-345.. DOI: https://doi.org/10.1161/CIRCOUTCOMES.110.959247

    [2] Otvos JD, et al. "Clinical implications of discordance between LDL-C and particle number." *J Clin Lipidol*. 2011;5(2):105-113.. DOI: https://doi.org/10.1016/j.jacl.2011.02.001

    [3] Kahn SE, Hull RL, Utzschneider KM. "Mechanisms linking obesity to insulin resistance and type 2 diabetes." *Nature*. 2006;444(7121):840-846.. DOI: https://doi.org/10.1038/nature05482

    [4] Ridker PM. "Clinical application of C-reactive protein for cardiovascular disease detection and prevention." *Circulation*. 2003;107(3):363-369.. DOI: https://doi.org/10.1161/01.CIR.0000053730.47739.3C

    [5] Kronenberg F. "Human Genetics and the Causal Role of Lipoprotein(a)." *Cardiovasc Drugs Ther*. 2016;30(1):87-100.. DOI: https://doi.org/10.1007/s10557-016-6648-3