Jensch Hendrick, Setford Steven, Thomé Nicole, Srikanthamoorthy Geethan, Weingärtner Lea, Grady Mike, Holt Elizabeth, Pfützner Andreas
Pfützner Science & Health Institute, Haifa-Allee 20, 55128 Mainz, Germany.
Lifecare Laboratories, 55128 Mainz, Germany.
Sensors (Basel). 2025 Mar 22;25(7):1985. doi: 10.3390/s25071985.
Sensors for continuous glucose monitoring (CGM) are now commonly used by people with type 1 and type 2 diabetes. However, the response of these devices to potentially interfering nutritional, pharmaceutical, or endogenous substances is barely explored. We previously developed an in vitro test method for continuous and dynamic CGM interference testing and herein explore the sensitivity of the Abbott Libre2 (L2) and Dexcom G6 (G6) sensors to a panel of 68 individual substances.
In each interference experiment, L2 and G6 sensors were exposed in triplicate to substance gradients from zero to supraphysiological concentrations at a stable glucose concentration of 200 mg/dL. YSI Stat 2300 Plus was used as the glucose reference method. Interference was presumed if the CGM sensors showed a mean bias of at least ±10% from baseline with a tested substance at any given substance concentration.
Both L2 and G6 sensors showed interference with the following substances: dithiothreitol (maximal bias from baseline: L2/G6: +46%/-18%), galactose (>+100%/+17%), mannose (>+100%/+20%), and N-acetyl-cysteine (+11%/+18%). The following substances were found to interfere with L2 sensors only: ascorbic acid (+48%), ibuprofen (+14%), icodextrin (+10%), methyldopa (+16%), red wine (+12%), and xylose (>+100%). On the other hand, the following substances were found to interfere with G6 sensors only: acetaminophen (>+100%), ethyl alcohol (+12%), gentisic acid (+18%), hydroxyurea (>+100%), l-cysteine (-25%), l-Dopa (+11%), and uric acid (+33%). Additionally, G6 sensors could subsequently not be calibrated for use after exposure to dithiothreitol, gentisic acid, l-cysteine, and mesalazine (sensor fouling).
Our standardized dynamic interference testing protocol identified several nutritional, pharmaceutical and endogenous substances that substantially influenced L2 and G6 sensor signals. Clinical trials are now necessary to investigate whether our findings are of relevance during routine care.
1型和2型糖尿病患者现在普遍使用连续血糖监测（CGM）传感器。然而，这些设备对潜在干扰性营养物质、药物或内源性物质的反应几乎未被研究。我们之前开发了一种用于连续动态CGM干扰测试的体外测试方法，在此探究雅培FreeStyle Libre 2（L2）和德康G6（G6）传感器对一组68种单一物质的敏感性。
在每次干扰实验中，将L2和G6传感器一式三份地暴露于从零到超生理浓度的物质梯度中，稳定血糖浓度为200mg/dL。使用YSI Stat 2300 Plus作为血糖参考方法。如果CGM传感器在任何给定物质浓度下与测试物质相比，显示出与基线的平均偏差至少为±10%，则推测存在干扰。
L2和G6传感器均显示对以下物质有干扰：二硫苏糖醇（相对于基线的最大偏差：L2/G6：+46%/-18%）、半乳糖（>+100%/+17%）、甘露糖（>+100%/+20%）和N-乙酰半胱氨酸（+11%/+18%）。发现仅对L2传感器有干扰的物质如下：抗坏血酸（+48%）、布洛芬（+14%）、艾考糊精（+10%）、甲基多巴（+16%）、红酒（+12%）和木糖（>+100%）。另一方面，发现仅对G6传感器有干扰的物质如下：对乙酰氨基酚（>+100%）、乙醇（+12%）、龙胆酸（+18%）、羟基脲（>+100%）、L-半胱氨酸（-25%）、L-多巴（+11%）和尿酸（+33%）。此外，G6传感器在暴露于二硫苏糖醇、龙胆酸、L-半胱氨酸和美沙拉嗪后（传感器污染），随后无法校准使用。
我们标准化的动态干扰测试方案确定了几种对L2和G6传感器信号有重大影响的营养、药物和内源性物质。现在需要进行临床试验，以研究我们的发现在常规护理期间是否具有相关性。
Zotero 插件