Instalab
logoInstalab

CardioIQ Insulin Resistance Panel

Blood Test
Catch the metabolic strain building quietly behind normal blood sugar, before a standard glucose test would flag it.
4.8 (3,058 reviews)
Tested by Quest Diagnostics
Physician-reviewed results
Results in under 1 week
How it works
Order from Instalab
No prescription or your own doctor's order needed
Get blood drawn
At home or at 2,000+ patient service centers · 8-hour fast required
Get results
Explained with clear next steps, no medical jargon

Should you take a CardioIQ Insulin Resistance Panel test?

This test is most useful if any of these apply to you.

Gaining Weight Despite Eating Well
Stubborn weight gain can be an early sign your body is struggling to manage blood sugar behind the scenes.
Watching Your Heart Health
You want to catch a hidden driver of heart and artery risk that a cholesterol panel alone can miss.
Diabetes Runs in Your Family
A family history raises your odds, and this panel can flag rising risk years before your blood sugar shifts.
Living With PCOS
Polycystic ovary syndrome is often driven by metabolic strain, and this panel reveals how strong that pattern is.

About CardioIQ Insulin Resistance Panel

Long before blood sugar drifts high, your body fights to keep it normal by releasing extra insulin. That silent effort can run for years while a routine glucose test still reads fine.

This panel is built to see that effort directly. It measures the two hormones your pancreas uses to manage sugar and folds them into a single score designed to flag insulin resistance early, showing not just whether your sugar is normal but how much work it takes to keep it there.

What This Panel Reveals

Insulin resistance means your cells respond weakly to insulin, so the pancreas compensates by producing more. This panel reads that compensation from three angles rather than one, which is where its value lies. A single hormone reading can mislead, but three related signals together tell a fuller story.

The first angle is how much insulin is circulating. High fasting insulin is one of the earliest signs your body is compensating, and it often rises while glucose still looks completely normal. The second angle comes from C-peptide, a molecule your pancreas releases in equal amounts to insulin but that clears more slowly and is not extracted by the liver on its first pass. That makes C-peptide a steadier gauge of how much insulin your body is genuinely making.

The third angle is the CardioIQ Insulin Resistance Score, which combines the two hormone readings into one number. In a formula validated against a direct insulin suppression test, this insulin-plus-C-peptide approach classified insulin resistance more accurately than insulin readings interpreted alone. Emerging evidence suggests this combination adds signal that either marker misses on its own, though standardized interpretation frameworks are still evolving. Major diabetes guidelines still do not recommend routine insulin or C-peptide testing for risk screening, viewing these measures as primarily research tools, so treat this panel as an early signal to discuss rather than a stand-alone diagnostic test.

How to Read Your Results Together

The patterns between these three results matter more than any single value. Because insulin is cleared quickly by the liver while C-peptide is not, comparing them helps separate how much your pancreas is producing from how much your liver is clearing. Use the patterns below as a starting point for conversation, not a diagnosis.

PatternWhat It May Suggest
High insulin, high C-peptide, high scoreYour pancreas is overproducing to overcome resistant cells, the classic early insulin resistance pattern, even if glucose is normal.
High insulin, relatively low C-peptideYour liver may be clearing less insulin than usual, so circulating insulin looks higher than actual output.
Low insulin, low C-peptide, higher glucosePancreatic output may be fading rather than compensating, a different problem that warrants prompt follow-up.
All three in rangeYour cells are currently responding well to insulin, a reassuring metabolic sign worth confirming over time.

What to Do with Your Results

If your score points toward insulin resistance, the next step is context. Adding a three-month blood sugar average (HbA1c), fasting triglycerides, and waist measurement helps confirm whether the pattern is affecting glucose and lipids yet. These markers matter because the risk is real: in one large trial, each standard-deviation increase in a combined insulin and C-peptide score was linked to 25% higher odds of coronary heart disease (adjusted odds ratio 1.25, 95% confidence interval 1.04 to 1.50).

Because these hormones swing day to day, one draw is a snapshot, not a verdict. Retest in three to six months after any meaningful change to diet, weight, activity, or medication, and track the direction rather than fixating on a single number. If results are strongly abnormal or you have kidney disease, a hormone condition, or a strong family history, share them with a clinician who can weigh them against your glucose, lipids, and blood pressure.

When Results Can Be Misleading

A few factors distort all three results at once, so read them with care. A non-fasting sample, a recent carbohydrate-heavy meal, acute illness, or short-term stress can push insulin and its score up temporarily. Reduced kidney function is important too, because C-peptide is cleared by the kidneys and can read falsely high when filtration slows.

Lab technique is a real limit as well. Insulin and C-peptide assays are not standardized across laboratories. The same C-peptide sample can read up to 38% differently between methods, and insulin can vary even more, while C-peptide levels shift roughly 24% within the same person from day to day. For that reason, track your trend using the same lab whenever possible rather than comparing single values across providers.

Frequently Asked Questions

References

11 studies
  1. F. Abbasi, D. Shiffman, C. Tong, J. Devlin, M. McphaulJournal of the Endocrine Society2018
  2. Judy Z. Louie, D. Shiffman, M. Mcphaul, O. MelanderJournal of Internal Medicine2023
  3. Nileshkumar J Patel, T. Taveira, G. Choudhary, Wen‐chih WuJournal of the American Heart Association2012
  4. S. Park, J. Gautier, S. ChonDiabetes & Metabolism Journal2021