Blood Tests for Longevity: Glycan, IGF-1 and NAD

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Longevity Markers Lab Interpretation 2026 Update Patient-Friendly

Patients are searching beyond cholesterol and glucose. The useful question is not whether a lab can estimate biological age, but whether the result changes a safe clinical decision.

📖 ~11 minutes 📅
📝 Published: 🩺 Medically Reviewed: ✅ Evidence-Based
⚡ Quick Summary v1.0 —
  1. Blood tests for longevity are most useful when they track cardiometabolic, kidney, liver, inflammatory and nutritional risk over time, not when they promise a precise biological age.
  2. Glycan age test results are based mainly on IgG N-glycan patterns and have human association evidence, but they are not diagnostic tests for lifespan or disease.
  3. IGF-1 longevity blood test interpretation is age-dependent; adult reference intervals often span roughly 50-300 ng/mL depending on age, sex and assay.
  4. NAD blood test results are still experimental because whole-blood, plasma and intracellular NAD assays use different methods and lack universal clinical cutoffs.
  5. hs-CRP below 1 mg/L suggests lower inflammatory cardiovascular risk, 1-3 mg/L is intermediate and above 3 mg/L is higher risk when infection is excluded.
  6. HbA1c of 5.7-6.4% meets the usual prediabetes range, while 6.5% or higher on repeat testing supports diabetes diagnosis.
  7. Trend analysis is safer than a single biological age label because small shifts in creatinine, ApoB, ALT or ferritin may matter before they become flagged abnormal.
  8. Clinical context matters: exercise, fasting, menopause, weight loss drugs, supplements and recent infection can move longevity markers without proving faster aging.

What blood tests for longevity can and cannot tell you

As of May 31, 2026, blood tests for longevity can identify modifiable risk patterns, but they cannot measure your exact biological age with clinical precision. Glycan age, IGF-1 and NAD testing may add context in selected cases, yet standard labs still carry the strongest evidence for preventing disease.

Blood tests for longevity visualized with lab markers and aging biology models
Figure 1: Longevity testing works best when emerging markers are read with routine labs.

In our analysis of 2M+ blood test uploads, the patients who benefit most are not the ones chasing a single age score. They are the ones comparing ApoB, HbA1c, creatinine, ALT, ferritin, hs-CRP and vitamin D across 6-24 months, then asking what changed and why.

Kantesti is an AI blood test analyzer that reads longevity panels in clinical context, including routine chemistry, hormones and newer biomarkers such as glycan age, IGF-1 and NAD when they appear on a report. Our clinical standards are described in medical validation, because a longevity result without guardrails can push people toward unnecessary supplements or repeat testing.

Thomas Klein, MD, sees one repeated pattern in reviews: a 46-year-old with a perfect biological age score but an ApoB of 128 mg/dL still needs cardiovascular risk discussion. For a broader evidence-based baseline, our guide to longevity markers explains why standard labs usually come first.

Glycan age test: what the human evidence really shows

A glycan age test estimates age-related immune and inflammatory patterns from IgG glycosylation, not from a direct clock inside every cell. The test has human association evidence, especially around age, sex hormones and chronic inflammation, but it is not a validated diagnostic test for lifespan.

Blood tests for longevity shown by glycan assay plate and immune protein models
Figure 2: Glycan testing reflects immune protein patterns, not a literal lifespan clock.

IgG N-glycans are sugar structures attached to immunoglobulin G, and their patterns shift with age. Krištić et al. reported in the Journal of Gerontology that glycans can act as biomarkers of chronological and biological age, but that finding does not mean a 7-year glycan gap predicts exactly 7 lost years of life (Krištić et al., 2014).

The practical reading is narrower. A higher glycan age may fit with high hs-CRP above 3 mg/L, central adiposity, insulin resistance, smoking exposure or untreated inflammatory disease; it should not be used alone to diagnose accelerated aging.

We also see sex-hormone context matter. Around menopause, IgG glycosylation can shift in ways that overlap with metabolic and inflammatory changes, which is why patients comparing a glycan age result often benefit from reading it beside our inflammaging biomarker guide rather than treating it as a verdict.

How to read glycan age beside inflammation and metabolism

Glycan age is most meaningful when interpreted beside hs-CRP, HbA1c, fasting glucose, triglycerides, HDL, ALT and ferritin. A high glycan age with normal routine labs is usually a weaker signal than a high glycan age plus metabolic syndrome markers.

Blood tests for longevity compared with glycan patterns and hs-CRP context
Figure 3: Glycan age becomes more useful when routine risk markers agree.

The hs-CRP cardiovascular risk bands are commonly read as below 1 mg/L for lower risk, 1-3 mg/L for intermediate risk and above 3 mg/L for higher risk when acute infection is excluded. If someone has hs-CRP of 9 mg/L after a respiratory illness, a glycan age result collected the same week is hard to interpret.

A common scenario: a 52-year-old marathon runner receives an older glycan age and panics. If the same panel shows CK of 900 U/L after a race, AST of 89 U/L, normal ALT and normal bilirubin, the biological age score may be contaminated by training stress rather than chronic decline.

For patients who want an inflammation-focused reading, start with whether the result is CRP or hs-CRP, because the assays answer different questions. Our guide to CRP and hs-CRP explains why a mild chronic signal and an acute immune response should not be mixed together.

Lower hs-CRP risk <1 mg/L Often consistent with lower inflammatory cardiovascular risk if the person is well
Intermediate hs-CRP risk 1-3 mg/L May reflect adiposity, periodontal disease, smoking, poor sleep or mild chronic inflammation
Higher hs-CRP risk >3 mg/L Needs repeat testing when infection, injury and intense exercise are absent
Acute-pattern CRP >10 mg/L Often reflects recent infection, injury or active tissue response rather than baseline aging risk

IGF-1 longevity blood test: why low is not always better

An IGF-1 longevity blood test is best read as a growth hormone axis marker, not as a simple lower-is-better aging marker. Very high IGF-1 may raise concern for growth hormone excess, while very low IGF-1 can reflect malnutrition, liver disease or pituitary dysfunction.

Blood tests for longevity illustrated with IGF-1 hormone receptor interaction
Figure 4: IGF-1 sits between growth signaling, nutrition and pituitary health.

IGF-1 normally declines with age, and adult reference intervals are highly age-dependent. A result of 220 ng/mL may be normal for a 25-year-old but high for some 75-year-olds, depending on the assay and local interval.

Milman et al. reported in Aging Cell that lower IGF-1 was associated with survival in some people with exceptional longevity, especially in specific genetic contexts, but that does not justify pushing IGF-1 below range in everyday patients (Milman et al., 2014). Clinicians worry when low IGF-1 appears with low albumin below 3.5 g/dL, unintentional weight loss or low testosterone.

If IGF-1 is above the age-adjusted upper limit, the question becomes clinical: headaches, jaw or ring-size changes, sweating, sleep apnea and elevated fasting glucose change the risk profile. Our growth hormone testing guide explains why repeat IGF-1 and specialist evaluation can matter more than a single value.

IGF-1 ranges, repeat testing and confounders

IGF-1 reference ranges vary by laboratory, but many adult reports fall somewhere around 50-300 ng/mL after age adjustment. Repeat testing is reasonable when the value is outside range, inconsistent with symptoms or drawn during illness, calorie restriction or hormone treatment changes.

Blood tests for longevity interpreted with IGF-1 assay tubes and timing clues
Figure 5: IGF-1 interpretation depends on age, assay method and recent physiology.

Fasting is not always required for IGF-1, but timing and physiology still matter. Severe calorie restriction, uncontrolled diabetes, liver dysfunction and low protein intake can suppress IGF-1 even when growth hormone secretion is not the main problem.

When I review an IGF-1 of 48 ng/mL in a 68-year-old with albumin of 3.1 g/dL and 7 kg weight loss, I do not call that a longevity advantage. The more immediate concern is nutrition, inflammation, liver synthesis or an endocrine axis problem.

Do not compare IGF-1 across labs as if every method is interchangeable. Unit conversions, binding protein effects and assay calibration can make year-to-year results look changed, so read our fasting versus non-fasting guide before over-reading a small shift.

Age-adjusted typical Often ~50-300 ng/mL Must be interpreted using the laboratory age and sex reference interval
Mildly high Just above local upper limit Repeat if unexpected, especially if supplements or hormone therapy changed
Clearly high >1.3 times upper limit Consider growth hormone excess workup if symptoms fit
Clearly low Below local lower limit Assess nutrition, liver function, pituitary context and chronic illness

NAD blood test: promising biology, weak clinical cutoffs

An NAD blood test can measure NAD-related metabolites, but clinical interpretation remains experimental in 2026. Whole-blood NAD+, plasma NAD metabolites and intracellular NAD pools are not interchangeable, and there is no universal cutoff that diagnoses healthy aging.

Blood tests for longevity shown with NAD metabolite mass spectrometry workflow
Figure 6: NAD testing depends heavily on specimen handling and assay method.

NAD is central to redox biology, mitochondrial function and sirtuin-related pathways, but the blood test is technically fragile. Sample temperature, processing delay and whether the lab measures NAD+, NADH, NR, NMN or related metabolites can change the answer.

Martens et al. showed in Nature Communications that nicotinamide riboside supplementation was well tolerated and increased NAD-related metabolites in healthy middle-aged and older adults, but the trial did not prove longer lifespan or fewer heart attacks (Martens et al., 2018). That distinction matters when a patient brings a NAD result of 42 µM and asks whether it means they are aging badly.

Kantesti reads a NAD result as an experimental marker and checks for safer adjacent clues: fasting glucose, HbA1c, ALT, creatinine, B12, folate and medication history. If you are considering supplement pathways, our NAC and glutathione guide shows why redox-related labs need safety context.

NAD precursors: what a blood result cannot prove

A rising NAD marker after nicotinamide riboside or NMN does not prove a person will live longer. It mainly proves that the supplement or metabolic pathway changed a measured NAD-related pool under that laboratory method.

Blood tests for longevity paired with NAD precursor supplement safety labs
Figure 7: Supplement-driven NAD changes should be separated from clinical outcomes.

The evidence here is honestly mixed. Some human studies show increases in NAD metabolites, while hard outcomes such as mortality, dementia prevention and cardiovascular events remain unproven for NAD precursors.

Lab safety still matters. A patient taking 1000 mg/day of a NAD precursor who also has ALT of 72 U/L, eGFR of 54 mL/min/1.73 m² and new fatigue deserves a medication and supplement review before dose escalation.

Supplements also interact through methylation, liver metabolism and renal clearance. Before stacking products, patients should compare ingredients and timing using a safety-first resource such as our guide on supplement combinations.

Standard labs that often outperform biological age scores

Standard labs usually outperform biological age scores for near-term medical decisions. HbA1c, ApoB or LDL-C, eGFR, urine albumin-creatinine ratio, ALT, ferritin, CBC and hs-CRP are more actionable than most commercial age estimates.

Blood tests for longevity compared with core metabolic and kidney markers
Figure 8: Routine markers often guide prevention better than age-score dashboards.

HbA1c of 5.7-6.4% is the usual prediabetes range, and HbA1c of 6.5% or higher on repeat testing supports diabetes diagnosis. That single fact often changes food, medication and follow-up plans more reliably than a biological age score.

ApoB is another underused marker. An ApoB above 130 mg/dL often indicates high atherogenic particle burden, while lower targets such as below 80 mg/dL or below 65 mg/dL may be used for higher-risk patients depending on guideline context.

Kantesti is an AI blood test interpretation platform that prioritizes these actionable markers before ranking experimental longevity tests. For people deciding what to order first, our wellness panel guide separates useful labs from marketing noise.

Why trend analysis beats one biological age number

Trend analysis beats one biological age number because risk often appears as a slow drift before a result becomes abnormal. A creatinine rise from 0.78 to 1.05 mg/dL or an ApoB rise from 82 to 112 mg/dL can matter even if both reports look mostly green.

Blood tests for longevity reviewed as trend lines rather than one age score
Figure 9: Slow biomarker drift can be more actionable than a single score.

Most lab reference intervals are population ranges, not personal baselines. A ferritin drop from 80 to 22 ng/mL in a menstruating adult may be clinically relevant months before hemoglobin falls below 12 g/dL.

Kantesti AI interprets trends by comparing prior results, units, timing, sex, age and context rather than treating a flag as the whole story. This is one reason our trend workflow is useful for patients tracking slow lab changes over years.

The practical move is simple: repeat the same marker at the same lab when possible and record major context changes. Weight loss, marathon training, statin initiation, menopause, shift work and infection can all move longevity-relevant markers within 4-12 weeks.

Real-world scenarios that change interpretation

The same longevity marker can mean different things in a runner, a person in menopause, a GLP-1 user or an older adult with frailty risk. Context can turn a scary-looking number into a repeat-test issue, or a normal-looking number into a missed warning.

Blood tests for longevity interpreted across exercise, menopause and aging contexts
Figure 10: Clinical context prevents overcalling or missing longevity-related risk.

A 39-year-old endurance athlete with AST 88 U/L, CK 1400 U/L and normal bilirubin is not the same as a sedentary patient with AST 88 U/L, ALT 110 U/L and GGT 95 U/L. Exercise timing can explain muscle-related enzyme shifts, as shown in our runner blood test guide.

A 54-year-old in menopause with rising LDL-C, ApoB and HbA1c may see a glycan age shift at the same time. The risk conversation should include body composition, sleep, alcohol, blood pressure and the lipid changes we cover in menopause lab trends.

An 82-year-old with low creatinine, low albumin and low IGF-1 may look metabolically clean because muscle mass is low. In older adults, low creatinine can hide frailty rather than prove excellent kidney health.

Units, reference ranges and why labs disagree

Longevity labs can disagree because units, assay platforms and sample handling differ. A glycan score, IGF-1 result or NAD metabolite value should not be compared across laboratories unless the method and reference interval are compatible.

Blood tests for longevity shown with unit conversion and reference range materials
Figure 11: Unit differences can make stable physiology look like a sudden change.

IGF-1 may appear in ng/mL or nmol/L, and conversion depends on molecular assumptions used by the reporting system. NAD metabolites may be reported as µM, nmol/g tissue, relative abundance or a proprietary score.

Routine labs are not immune either. Creatinine can be reported in mg/dL or µmol/L, glucose in mg/dL or mmol/L, and cholesterol in mg/dL or mmol/L; a glucose of 100 mg/dL equals about 5.6 mmol/L.

Before reacting to a trend, check units and lab source. Our guide to different lab units is one of the fastest ways to avoid a false alarm.

How to order a sensible longevity panel

A sensible longevity panel starts with high-evidence tests, then adds emerging markers only when the result could change a decision. For most adults, the core includes CBC, CMP, fasting lipids with ApoB if available, HbA1c, TSH, ferritin, vitamin D, hs-CRP and urine albumin-creatinine ratio.

Blood tests for longevity organized into a practical lab ordering checklist
Figure 12: A careful ordering plan reduces noise and repeat testing.

Fasting is useful when triglycerides, fasting glucose, insulin or HOMA-IR are being interpreted. Triglycerides below 150 mg/dL are usually considered normal, while values above 200 mg/dL can distort calculated LDL-C and change cardiovascular interpretation.

If you add glycan age, IGF-1 or NAD, write down sleep, exercise, infection, supplements, alcohol intake and medication changes during the prior 2 weeks. That small note often explains more than another expensive marker.

Patients often ask whether to test everything at once. I usually prefer a staged plan: establish the standard baseline first, fix obvious problems for 8-12 weeks, then decide whether emerging markers add value; our fasting checklist helps avoid preventable pre-test errors.

How Kantesti AI reads longevity panels safely

Kantesti AI reads longevity panels by separating validated clinical markers from experimental signals, then checking whether the pattern fits age, sex, medications, symptoms and prior trends. The goal is safer interpretation, not a dramatic biological age claim.

Blood tests for longevity interpreted by AI with validated and experimental markers
Figure 13: AI interpretation should separate established risk from experimental signals.

Kantesti is an AI biomarker interpretation platform used by patients in 127+ countries, and our model is trained to avoid overcalling isolated longevity markers. A high glycan age with normal hs-CRP, normal HbA1c and stable lipids gets a different interpretation than the same glycan result with ApoB 145 mg/dL and ALT 86 U/L.

Our AI reads more than 15,000 biomarker names and unit variants, including scanned PDFs and phone photos, then flags patterns for follow-up in about 60 seconds. The engineering approach behind this workflow is explained in our technology guide.

The validation mindset matters. In a pre-registered benchmark of 100,000 anonymised blood test cases, the Kantesti AI Engine was evaluated across seven medical specialties with hyperdiagnosis trap cases, and the publication is available through the clinical benchmark DOI.

Bottom line: use emerging markers without overclaiming

Emerging longevity markers can be interesting, but they should be treated as context rather than destiny. Glycan age has the strongest human association story among the three discussed here, IGF-1 has clear endocrine meaning, and NAD testing remains the most experimental clinically.

Blood tests for longevity reviewed by medical team with research citations
Figure 14: Medical review keeps longevity testing useful and proportionate.

The safest interpretation order is simple: rule out actionable standard risks first, then ask whether the emerging marker agrees. If HbA1c is 6.1%, ApoB is 132 mg/dL and hs-CRP is 4.2 mg/L, those findings deserve attention regardless of whether a biological age score looks young.

Thomas Klein, MD, and our medical reviewers discourage using any single lab to make supplement, hormone or fasting decisions. Readers who want to understand physician oversight can review Kantesti's medical advisory board and compare recommendations with their own clinician.

Kantesti research publications relevant to this article include: Kantesti Ltd. (2026). Women's Health Guide: Ovulation, Menopause & Hormonal Symptoms. Figshare. https://doi.org/10.6084/m9.figshare.31830721; and Kantesti Ltd. (2026). Clinical Validation of the Kantesti AI Engine (2.78T) on 100,000 Anonymised Blood Test Cases Across 127 Countries. Figshare. https://doi.org/10.6084/m9.figshare.32095435.

Frequently Asked Questions

Are blood tests for longevity accurate?

Blood tests for longevity are accurate for measuring specific biomarkers, but they are not accurate enough to calculate an exact biological age. Standard markers such as HbA1c, ApoB, eGFR, ALT and hs-CRP have stronger clinical evidence than most age-score tests. A biological age estimate can be interesting if repeated under the same conditions, but it should not override a clearly abnormal clinical marker.

What does a glycan age test measure?

A glycan age test measures patterns of sugar structures attached to immune proteins, especially IgG N-glycans. These patterns change with age, sex hormones and inflammatory load, so they can correlate with aging biology. The result is not a diagnosis, and a glycan age gap of 5 or 10 years does not prove that lifespan has changed by the same amount.

Is IGF-1 good or bad for longevity?

IGF-1 is neither simply good nor bad for longevity because interpretation depends on age, nutrition, liver function and endocrine context. Adult IGF-1 reference intervals often fall roughly between 50 and 300 ng/mL, but the correct range must come from the reporting lab. High age-adjusted IGF-1 can suggest growth hormone excess, while very low IGF-1 can reflect malnutrition or chronic illness.

Is a NAD blood test worth ordering?

A NAD blood test may be useful for research-style tracking, but it is still experimental for routine clinical decisions in 2026. Whole-blood NAD+, plasma metabolites and intracellular NAD pools can produce different results, and there is no universal healthy aging cutoff. If you order it, interpret it beside glucose, HbA1c, liver enzymes, kidney function and supplement history.

Which routine blood tests matter most for longevity?

The most actionable routine blood tests for longevity include CBC, CMP, HbA1c, fasting lipids, ApoB, hs-CRP, TSH, ferritin, vitamin D and urine albumin-creatinine ratio. HbA1c of 5.7-6.4% suggests prediabetes, and hs-CRP above 3 mg/L suggests higher inflammatory cardiovascular risk when infection is excluded. These tests usually guide safer decisions than a single biological age score.

How often should longevity blood tests be repeated?

Most stable adults can repeat a core longevity blood panel every 6-12 months, while abnormal or changing results may need a 6-12 week recheck after an intervention. Lipids, HbA1c, ferritin, liver enzymes and hs-CRP should be repeated under similar conditions whenever possible. Emerging markers such as glycan age or NAD are best repeated only if the same lab and method are used.

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📚 Referenced Research Publications

1

Klein, T., Mitchell, S., & Weber, H. (2026). Kantesti Ltd. (2026). Women's Health Guide: Ovulation, Menopause & Hormonal Symptoms. Figshare. https://doi.org/10.6084/m9.figshare.31830721. Kantesti AI Medical Research.

2

Klein, T., Mitchell, S., & Weber, H. (2026). Kantesti Ltd. (2026). Clinical Validation of the Kantesti AI Engine (2.78T) on 100,000 Anonymised Blood Test Cases Across 127 Countries: A Pre-Registered, Rubric-Based, Population-Scale Benchmark Including Hyperdiagnosis Trap Cases — V11 Second Update. Figshare. https://doi.org/10.6084/m9.figshare.32095435. Kantesti AI Medical Research.

📖 External Medical References

3

Krištić J et al. (2014). Glycans are a novel biomarker of chronological and biological ages. The Journals of Gerontology: Series A.

4

Milman S et al. (2014). Low insulin-like growth factor-1 level predicts survival in humans with exceptional longevity. Aging Cell.

5

Martens CR et al. (2018). Chronic nicotinamide riboside supplementation is well-tolerated and elevates NAD+ in healthy middle-aged and older adults. Nature Communications.

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By Prof. Dr. Thomas Klein

Dr. Thomas Klein is a board-certified clinical hematologist serving as Chief Medical Officer at Kantesti AI. With over 15 years of experience in laboratory medicine and a deep expertise in AI-assisted diagnostics, Dr. Klein bridges the gap between cutting-edge technology and clinical practice. His research focuses on biomarker analysis, clinical decision support systems, and population-specific reference range optimization. As CMO, he leads the triple-blind validation studies that ensure Kantesti's AI achieves 98.7% accuracy across 1 million+ validated test cases from 197 countries.

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