Skip to main content
Download PDF

Quantifying carboxymethyl lysine and carboxyethyl lysine in human plasma: clinical insights into aging research using liquid chromatography-tandem mass spectrometry

BMC Biotechnology volume 24, Article number: 12 (2024) Cite this article

Abstract

Objective

The objective of this study was to establish a methodology for determining carboxymethyl lysine (CML) and carboxyethyl lysine (CEL) concentrations in human plasma using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The test results were also used for clinical aging research.

Methods

Human plasma samples were incubated with aqueous perfluorovaleric acid (NFPA), succeeded by precipitation utilizing trichloroacetic acid, hydrolysis facilitated by hydrochloric acid, nitrogen drying, and ultimate re-dissolution utilizing NFPA, followed by filtration. Cotinine-D3 was added as an internal standard. The separation was performed on an Agela Venusil ASB C18 column (50 mm × 4.6 mm, 5 μm) with a 5 mmol/L NFPA and acetonitrile/water of 60:40 (v/v) containing 0.15% formic acid. The multiple reaction monitoring mode was used for detecting CML, CEL, and cotinine-D3, with ion pairs m/z 205.2 > 84.1 (for quantitative) and m/z 205.2 > m/z 130.0 for CML, m/z 219.1 > 84.1 (for quantitative) and m/z 219.1 > m/z 130.1 for CEL, and m/z 180.1 > 80.1 for cotinine-D3, respectively.

Results

The separation of CML and CEL was accomplished within a total analysis time of 6 minutes. The retention times of CML, CEL, and cotinine-D3 were 3.43 minutes, 3.46 minutes, and 4.50 minutes, respectively. The assay exhibited linearity in the concentration range of 0.025–1.500 μmol/L, with a lower limit of quantification of 0.025 μmol/L for both compounds. The relative standard deviations of intra-day and inter-day were both below 9%, and the relative errors were both within the range of ±4%. The average recoveries were 94.24% for CML and 97.89% for CEL.

Conclusion

The results indicate that the developed methodology is fast, highly sensitive, highly specific, reproducible, and suitable for the rapid detection of CML and CEL in clinical human plasma samples. The outcomes of the clinical research project on aging underscored the important indicative significance of these two indicators for research on human aging.

Peer Review reports

Introduction

The term Advanced Glycation End-products (AGEs) refers to a category of stable end-products resulting from a series of reactions such as condensation, rearrangement, cleavage, and oxidative modification that occur between the carbonyl groups of reducing sugars and the free amino groups of substances such as proteins, lipids, amino acids, or nucleic acids [1]. Medical studies have shown that AGEs are generated and accumulate in serum and tissues as individuals age. They are involved in the onset and progression of a variety of diseases and aging, including the development of chronic complications associated with diabetes, atherosclerosis, uremia, Alzheimer’s disease, and cataracts [2,3,4].

In order to comprehensively assess the impact of AGEs on human health, it is imperative to employ accurate and reliable methods for the measurement of appropriate biomarkers. CML, CEL, pyrraline, and pentosidine are among the over 20 AGEs that have been identified [5]. CEL and CML, in particular, are closely associated with aging as well as diseases such as diabetic complications and renal failure [6,7,8,9]. The development of an efficient and accurate quantitative method for the determination of CML and CEL assumes much significance for advancing further clinical research on the correlation between CML, CEL, and the aging process, as well as for assessing overall human health status.

Commonly employed methods for the determination of CML and CEL in biological samples include HPLC-fluorescence detection (FLD) with pre-column derivatization using ortho-phtaldialdehyde (OPA) [10] or 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC) [11], gas chromatography-mass spectrometry (GC-MS) method by analyzing N(O,S)-ethoxycarbonyl ethyl esters of amino acid derivatized by ethylchloroformate [12], enzyme-linked immunochemical quantification of CML with a specific antibody, [9, 13] and the HPLC with stable-isotope-dilution tandem mass spectrometry method [14,15,16], among others. Among these, HPLC-MS/MS has obvious advantages because the use of multiple reaction monitoring (MRM) mode improves sensitivity, reduces the coefficient of variability, eliminates the problems of derivatization, and allows for the simultaneous analysis of multiple analytes.

In this experiment, an efficient, sensitive, accurate, and specific technique was developed utilizing LC-MS/MS for the accurate determination of CML and CEL in human plasma.

Materials and methods

Samples, standard materials, and reagents

Standard materials and samples

CML (95% purity) and CEL (96% purity) were purchased from TMRM (China). Cotinine-D3 (99% purity) was bought from Cerilliant (USA). A total of 1196 clinical plasma samples were provided by the Institute of Geriatrics, Beijing Hospital, China.

Reagents

Methanol, acetonitrile, and formic acid, all of chromatography grade, were sourced from Burdick & Jackson (USA). The ultra-pure water that was utilized in the experiments was prepared using the Milli-Q water purification system. The NFPA used was of analytical reagent quality and obtained from Macklin (China). Trichloroacetic acid (TCA) and hydrochloric acid, both analytical reagents, were purchased from Sinopharm Chemical Reagent Co., Ltd. (China). Additionally, 4% bovine serum albumin prepared with saline was utilized.

Detection methods

LC-MS/MS

A triple quadruple mass spectrometer (MS), API 4000 (Applied Biosystems, USA), coupled to a LC system manufactured by Shimadzu (Japan) was utilized. The MS was operated in a positive ion mode using electrospray ionization (ESI) on a turbo-ion spray source. Multiple reaction monitoring (MRM) was used for the MS analyses. Ion pairs selected for analysis were m/z 205.2 > m/z 84.1 (for quantitative) and m/z 205.2 → m/z 130.0 for CML, m/z 219.1 > m/z 84.1 (for quantitative) and m/z 219.1 > m/z 130.1 for CEL, and m/z 180.1 > m/z 80.1 for cotinine-D3, respectively. The temperature of the auxiliary gas was set to 550 °C, the ion spray voltage was 5500 V, and the de-clustering potentials were 56 V, 56 V, 25 V, 25 V, and 64 V, respectively. Collision energies (CE) were set at 17 eV, 27 eV, 27 eV, 18 eV, and 30 eV, respectively. Nitrogen was used as the curtain, turbo-ion spray, collision, and nebulizer gas in the system.

Analyst 1.4.2 software was used for all data acquisition and processing in this study. The HPLC separation was performed using a chromatographic column (Lightn AQ 4.6 × 50 mm, 5-μm particles; Venusil ASB C18, Agela, USA). The composition of the solution was as follows: eluent A, 5 mmol/L NFPA, and eluent B, acetonitrile/water (v/v) = 6:4 (containing 0.15% formic acid). Eluent B (5%) underwent a linear gradient increase from 5 to 25% over 0.50 minutes, followed by a linear gradient increase from 25 to 60% over 3.51 minutes, and from 60 to 98% over 0.99 minutes. Subsequently, Eluent B returned to 5% over 0.01 minutes and remained at 5% for 1 minute. The flow rate was 1.00 mL/min, and the injection volume was 10 μL.

Standard curves and quality control (QC) samples

The composite standard curve samples for CML and CEL consisted of standard curve samples spiked with incremental concentrations of working standard solution of 0.250, 0.500, 1.000, 3.000, 4.500, 7.000, 12.000, and 15.000 μmol/L. These samples were prepared with 4% bovine serum albumin as the matrix and were tailored for specific requirements. The mixed QC samples for CML and CEL comprised QC samples spiked with serial concentrations of QC working standard solution of 1.500, 4.500, and 10.000 μmol/L formulated with 4% bovine serum albumin as the matrix. These were prepared as required.

Plasma sample processing

The analytical procedure involved pipetting 50 μL of the plasma sample to be analyzed or the blank sample into a 10 mL centrifuge tube with a screw cap. Next, 100 μL of deionized water and 500 μL of 5 mmol/L NFPA were added, and the mixture was incubated at room temperature for 2 hours. After that, 2 mL of TCA with a concentration of 200 g/L was added, and the sample was centrifuged at 2000 g for 10 minutes. The supernatant was removed, and the remaining solution was washed with 1 mL of TCA with a concentration of 100 g/L. The supernatant was washed by adding 1 mL of 100 g/L TCA, centrifuged at 2000 g for 10 minutes, and removed. The remaining solution was added to 500 μL of a 6 mol/L hydrochloric acid solution and subjected to hydrolysis in an oven at 110 °C for 20 hours. The hydrolyzed product was dried using nitrogen gas in a water bath at 80 °C, then added to 300 μL of NFPA (5 mmol/L). The remaining solution was drawn using a 1 mL syringe and filtered through a 0.22 μm membrane. A 200-μL aliquot of the membrane-filtered solution was taken and mixed well with 20 μL of Cotinine-D3 (500 ng/mL, prepared with 50% acetonitrile-water). Finally, the resulting mixture was subjected to LC-MS/MS analysis.

Data collection and processing

The chromatograms of CML, CEL, and Cotinine-D3 were integrated using the Analyst version 1.4.2 software. Linear regression was performed using the area ratio of CML or CEL to Cotinine-D3 as the vertical coordinate and the corresponding concentration of CML or CEL as the horizontal coordinate, with a weighting coefficient of 1/x2. The concentration of CML or CEL in the unknown samples was calculated using the following formula:

$$x=\frac{y-b}{a}$$

Wherein, y represents the ratio of the peak area of CML or CEL to that of its internal standard Cotinine-D3; b is the intercept of the standard curve; and a is the slope of the standard curve.

Results

Methodological validation

Standard curve and lower limit of quantification (LLOQ)

For determination of the standard curve and lower limit of quantification (LLOQ), 20 μL of each standard sample with varying concentrations was combined with 20 μL of Cotinine-D3 (500 ng/mL, prepared with 50% acetonitrile water) in a 1.5 mL microcentrifuge tube and then added 180 μL of a 5-mmol/L NFPA aqueous solution. This was mixed well and then analyzed using LC-MS/MS. Each analytical batch incorporated one standard curve, and five consecutive analytical batches were analyzed. The results are shown in Table 1, and the typical working curves of CML and CEL are shown in Fig. 1-1 (correlation coefficient R2 = 0.9886) and Fig. 1-2 (correlation coefficient R2 = 0.9920), respectively.

Table 1 Standard curve results of the determination of CML and CEL in human plasma
Full size table
Fig. 1
figure 1

1-1: Standard curve of CML in human plasma. 1-2: Standard curve of CEL in human plasma

Full size image

Figure 2-1 and 2-2 illustrate the LLOQ chromatograms of CML and CEL, respectively. The signal-to-noise ratio, as calculated by the software, was greater than 10, and the LLOQ of CML and CEL were both 0.025 μmol/L, thereby meeting the established criteria for quantitative detection.

Fig. 2
figure 2

2-1: LLOQ of CML in human plasma. 2-2: LLOQ of CEL in human plasma

Full size image

Accuracy and precision

The QC samples were processed with low, moderate, and high concentrations of CML and CEL as per the procedure outlined in Section Standard curve and lower limit of quantification (LLOQ). The concentrations of QC samples were measured with the corresponding working curve of the analytical batch, and the accuracy and precision of the method were calculated based on the measured results of the QC samples. The results are shown in Table 2. The relative errors (REs) were all within ±15%, and the intra-batch relative standard deviation (RSD) and inter-batch RSD were both less than 15%, satisfying the stipulated requirements for accuracy and precision.

Table 2 Accuracy and precision of the LC-MS/MS method for the determination of CML and CEL in human plasma
Full size table

Extraction recoveries

The QC samples of CML and CEL with low, moderate, and high concentrations were processed as per the procedure detailed in Section Standard curve and lower limit of quantification (LLOQ). Three parallel samples were set up for each sample, which were then analyzed using LC-MS/MS to obtain the peak areas of CML and CEL. A volume of 50 μL from the blank matrix (comprising 4% bovine serum albumin) was dispensed and subjected to the protocol outlined in Section Plasma sample processing, designated “Plasma Sample Processing.” It was blown dry with nitrogen, and then 10 μL of a mixture of CML and CEL with the corresponding concentration were added to 290 μL of NFPA (5 mmol/L).

Following the remaining steps specified in the section on “Plasma Sample Processing”, three parallel samples were set up for each sample and analyzed using LC-MS/MS to obtain the peak areas of CML and CEL. At each concentration, the average peak area of CML and CEL obtained by the previous treatment method was divided by the average peak area of CML and CEL obtained by the latter treatment method to calculate the extraction recovery rates. The extraction recoveries of CML were 89.16, 92.91, and 100.64% for low, medium, and high concentration plasma samples, respectively, with an average extraction recovery of 94.24%, while it was 97.63, 97.48, and 98.57% for CEL, respectively, with an average extraction recovery of 97.89%. The results are shown in Table 3.

Table 3 Extraction recovery rate of the LC-MS/MS method for the determination of CML in human plasma
Full size table

Specificity

For specificity evaluation, 50 μL of 4% bovine serum albumin was employed, and an equivalent volume of 50% acetonitrile water was substituted for the internal standard solution. The methodology outlined in the “Plasma Sample Processing” section was then adhered to for the generation of MRM chromatograms pertaining to the blank samples (refer to Fig. 3-1 and 3-2). CML, CEL, and cotinine-D3 internal standards were introduced into 4% bovine serum albumin samples. Subsequently, the procedures were conducted in accordance with the protocol delineated in the section titled “Plasma Sample Processing,” resulting in the acquisition of MRM chromatograms for the spiked samples (Fig. 3-3 and 3-4). Actual plasma samples were subjected to the procedures described in the “Plasma Sample Processing” section to obtain the MRM chromatograms of the actual samples (Fig. 3-5 and 3-6). The results showed that the endogenous substances in 4% bovine serum albumin did not interfere with the determination of CML, CEL, or the internal standard. Hence, the method exhibited good specificity.

Fig. 3
figure 3

3-1: Chromatogram of CML in 4% bovine serum albumin. 3-2: Chromatogram of CEL in 4% bovine serum albumin. 3-3: Chromatogram of CML and IS in 4% bovine serum albumin. 3-4: Chromatogram of CEL and IS in 4% bovine serum albumin. 3-5: Chromatogram of CML and IS in 4% bovine serum albumin. 3-6: Chromatogram of CEL and IS in 4% bovine serum albumin

Full size image

Use of the method in clinical samples

The clinical protocols used in this study were approved by the ethics committee of the institution, and the principles outlined in the Declaration of Helsinki were complied with. Informed consent was obtained from all study participants. A comprehensive analysis was conducted on a total of 1196 clinical plasma samples, which were provided by the Institute of Geriatrics at Beijing Hospital, China. The primary objective of this study was to investigate the variations in CML and CEL levels in relation to advancing age.

Comparison of CML and CEL between different age groups

The samples were categorized into the following four groups based on the age of the study participants: the youth group: ≤ 44 years old; the middle-aged group: 45–59 years old; the elderly group: 60–74 years old; and the advanced age group: ≥ 75 years old. Analysis of variance (ANOVA) between groups was performed to examine the differences in CML and CEL between these age-based groups. As there were some differences in the indicators for male and female participants, separate ANOVA analyses were done for men and women. Results are shown in Table 4.

Table 4 Analysis of variance (ANOVA) results
Full size table

The results indicate significant differences in CML and CEL between the various age-based groups in the male cohort. In the female cohort, there was a significant difference between the different groups only in CEL levels.

Correlation analyses of CML and CEL with age

Pearson’s correlation coefficients for CML and CEL in relation to age were computed separately for each gender, and the corresponding findings are presented in Table 5.

Table 5 Results of correlation analysis of the indicators and age
Full size table

For the correlation between results and aging, male correlation is higher than female correlation for CML, female correlation is higher than male correlation for CEL.

Analyses of the degree of change in CML and CEL with aging

The samples were stratified based on 10-year age intervals. Given the limited number of individuals aged over 90 years, they were aggregated with the age group of 80 years and above. Consequently, the ultimate analysis comprised a total of seven distinct age groups. The mean values and variances of the indicators were computed for each age group. Subsequently, the curves depicting the mean changes for each gender were graphically represented and overlaid on the same chart. Notably, the results showed that the change rate of CML and CEL test results with age was greater in male than in female. (Fig. 4-1 and 4-2).

Fig. 4
figure 4

4-1: Changes in CML values with increasing age. 4-2: Changes in CEL values with increasing age

Full size image

Quantification of the degree of change in CML and CEL

In order to quantify the trends in the alterations of CML and CEL with age, percentage increases (or decreases) for each biomarker were computed over 10-year intervals. Notably, it was observed that the average change in CML and CEL levels every 10 years remained inconspicuous below the age of 40, generally registering below 5%. A distinct upward trend became evident after the age of 40. Consequently, for the age group exceeding 40 years, the average magnitudes of change in the two indicators were recalculated every 10 years. The outcomes indicated a noteworthy increase in the respective degrees of change for CML and CEL, as elucidated in Table 6.

Table 6 Results of analysis of degree of change in indicators with age
Full size table

This preliminary determination of the respective degrees of change of CML and CEL with age has considerable significance in guiding the development of a new laboratory assessment system for human health status. Such a system can track the physical status of the group, improve the human health status monitoring network, and promote the establishment of a system for the analysis and management of dynamic data pertaining to monitoring human health.

Discussion

CML and CEL are two lysine derivatives with potential clinical significance in research on aging. Levels of CML, a metabolite associated with aging, tend to be generally low in the elderly. Studies have shown that CML expression is associated with a variety of age-related diseases and physiological processes, such as cardiovascular disease [17], chronic inflammation [18], and decreased brain function [19]. As a biomarker, CML may be useful in predicting disease risk and assessing health status in the elderly.

CEL is one of the AGEs that is formed by the non-enzymatic glycosylation of glucose or other reducing sugars with lysines in proteins. Studies have shown that CEL levels can be used to assess the extent of the glycosylation reaction and the degree of glycosylation of proteins [20]. Elevated levels of CEL have been linked to a variety of diseases, particularly diabetes and vascular disease. The accumulation of CEL due to hyperglycemia and increased glycosylation reactions can trigger inflammatory responses and oxidative stress, thereby promoting disease progression. Reports on the impact of CEL on cellular genome damage indicate its potential detrimental effects on the genomic integrity of cells [21]. Cellular experiments have shown that the presence of CEL can lead to DNA damage and chromosomal aberrations [21], which in turn increase the risk of cellular genotoxicity and mutation, among others.

In this study, we developed an analytical method using LC-MS/MS for the quantification of CML and CEL in human plasma samples. The method exhibited good selectivity, high sensitivity, and high throughput. Optimized chromatographic conditions significantly reduced the detection time, with only 6 minutes required for the simultaneous detection of both components in each sample. This contributed to improving working efficiency. This method requires only a small volume of plasma (50 μL). The method achieved an LLOQ of 0.025 μmol/L, significantly improving the detection rate of CML and CEL in clinical plasma samples. Furthermore, a comprehensive methodological validation of the detection method was conducted to ensure its accuracy, reliability, and reproducibility. The accuracy of the detection data for each batch was ensured by including a standard curve and QC data in each analytical batch. These features examined in this study establish a solid foundation for the further use and statistical analysis of this method.

Although prior studies have described the method by which glycosylation end products are created, there has been no large-scale investigation comparing the results of CML and CEL in thousands of plasma samples to show an association with aging. The aim of this study was to simultaneously examine several of the factors that influence aging. Based on the data on the effects of aging on glucose metabolism, statistical analysis of different age groups showed that the trends of changes in these two indicators with aging were basically similar; specifically, they both showed a significant increase between 40 and 80 years, with an average increase of 9.06 and 8.00% per decade of aging, respectively.

However, there was a slight difference between genders: the percentage of increase in CML was 10.89 and 7.39% for males and females, respectively, with a difference of 3.5%; the percentage of increase in CEL was 8.56 and 7.76% for males and females, respectively, with a difference of 0.8%. The difference in age-related changes between genders was more significant in CML values than that of CEL, suggesting that clinically, CML is a more sensitive indicator for males, while for females, both CML and CEL are equally qualified as evaluation indicators.

In terms of the overall trend, both indicators showed a correlation trend with age in both male and female groups, and this correlation was similar in male and female samples. Hence, these two indicators can be recommended as assistant indicator with relatively broad applicability for assessing the impact of aging on glucose metabolism.

While CML and CEL have shown some utility as clinical indicators in studies related to aging, more research is needed to further validate their effectiveness and understand the underlying mechanisms. Recent research findings have suggested that CML is also influenced by the levels of acetaldehyde in healthy individuals [22]. There are also studies that have reported the impact of dietary sugars and related endogenous advanced glycation end products on the extent of chromosomal DNA damage in WIL2-NS cells [21]. These findings clearly indicate that aging is a complex process influenced by multiple factors, and using a single indicator can have only limited value. Therefore, a combination of multiple biomarkers and clinical indicators needs to be considered for a more accurate assessment of the risk due to aging and health status.

Conclusion

In conclusion, the assay developed in this study fulfilled the clinical requirements for the rapid detection of CML and CEL in human plasma samples. Its sensitivity, precision, and accuracy were also qualified, and the results were accurate and reliable. The findings of this study provide information on the trends in changes of these two markers across different age groups with respect to the evaluation of glucose metabolism. However, further validation is required through additional research into the related mechanisms. The analytical detection method established in this study was accurate, reliable, and highly sensitive, providing a methodological and practical foundation for further research in the realm of human health monitoring.

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. We declared that materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality.

References

  1. Jiao SL, Quan KJ, He XW, et al. Detection of advanced glycation end products. Biological Chemical Engineering. 2021;7(04):157–61.

    Google Scholar 

  2. Méndez J, Xie J, Aguilar-Hernández M, et al. Trends in advanced glycation end products research in diabetes mellitus and its complications. Mol Cell Biochem. 2010;341(1):33–41.

    Article  PubMed  Google Scholar 

  3. Heizmann CW. The mechanism by which dietary AGEs are a risk to human health is via their interaction with RAGE: arguing against the motion. Mol Nutr Food Res. 2007;51(9):1116–9.

    Article  CAS  PubMed  Google Scholar 

  4. Monnier VM, Sell DR, Genuth S. Glycation products as markers and predictors of the progression of diabetic complications. Ann N Y Acad Sci. 2005;1043(1):567–81.

    Article  ADS  CAS  PubMed  Google Scholar 

  5. Zhang Q, Ames JM, Smith RD, et al. A perspective on the Maillard reaction and the analysis of protein glycation by mass spectrometry: probing the pathogenesis of chronic disease. J Proteome Res. 2009;8(2):754–69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Nienhuis HL, Westra J, Smit AJ, et al. AGE and their receptor RAGE in systemic autoimmune diseases: an inflammation propagating factor contributing to accelerate datherosclerosis. Autoimmunity. 2009;42(4):302–4.

    Article  CAS  PubMed  Google Scholar 

  7. Yamagishi S, Ueda S, Okuda S. Food-derived advanced glycation end products (AGEs): A novel therapeutic target for various disorders. Curr Pharm Des. 2007;13(27):2832–6.

    Article  CAS  PubMed  Google Scholar 

  8. Yan SF, Ramasamy R, Naka Y, et al. Glycation, inflammation, and RAGE: A scaffold for the macrovascular complications of diabetes and beyond. Circ Res. 2003;93(12):1159–69.

    Article  CAS  PubMed  Google Scholar 

  9. Tareke E, Forslund A, Lindh CH, et al. Isotope dilution ESI-LC-MS/MS for quantification of free and total ne-(1-Carboxymethyl)-L-lysine and free ne-(1-Carboxyethyl)-L-lysine: comparison of total ne-(1-Carboxymethyl)-L-lysine levels measured with new method to ELISA assay in gruel samples. Food Chem. 2013;141:4253–9.

    Article  CAS  PubMed  Google Scholar 

  10. Friess U, Waldner M, Wahl H-G, et al. Liquid chromatography-based determination of urinary free and total N (epsilon)-(carboxymethyl) lysine excretion in normal and diabetic subjects. J Chromatogr B. 2003;794:273–80.

    Article  CAS  Google Scholar 

  11. Naila AHMED, Argirov OK, MInhas HS, et al. Assay of advanced glycation endproducts (AGEs): surveying AGEs by chromatographic assay with derivatization by 6-aminoquinolyl-N-hydroxysuccinimidyl-carbamate and application to Nε-carboxymethyl-lysine and Nε-(1-carboxyethyl) lysine modified albumin. Biochem J. 2002;364:1–14.

    Article  Google Scholar 

  12. Petrovic R, Futas J, Chandoga J, et al. Rapid and simple method for determination of Nε-(carboxymethyl) lysine and Nε-(carboxyethyl) lysine in urine using gas chromatography/mass spectrometry. Biomed Chromatogr. 2005;19:649–54, Published online in Wiley InterScience (www.interscience.wiley.com). https://doi.org/10.1002/bmc.491.

    Article  CAS  PubMed  Google Scholar 

  13. Koito W, Araki T, Horiuchi S, et al. Conventional antibody against Nε-(Carboxymethyl) lysine (CML) shows cross-reaction to Nε-(Carboxyethyl) lysine (CEL): immunochemical quantification of CML with a specific antibody. J Biochem. 2004;136:831–7. https://doi.org/10.1093/jb/mvh193.

    Article  CAS  PubMed  Google Scholar 

  14. Teerlink T, Barto R, ten Brink HJ, et al. Measurement of Nε-(Carboxymethyl)lysine and Nε-(Carboxyethyl) lysine in human plasma protein by stable-isotope-dilution tandem mass spectrometry. Clin Chem. 2004;50(6):1222–8.

    Article  CAS  PubMed  Google Scholar 

  15. George LJH, Jayne VW, Jennifer MA, et al. Validation study to compare effects of processing protocols on measured Nε-(carboxymethyl)lysine and Nε-(Carboxyethyl)-lysine (CEL) in blood [J]. J Clin Biochem Nutr. 2013;53(3):129–33.

    Article  Google Scholar 

  16. Lieuw-A-Fa MLM, van Hinsbergh VWM, Teerlink T, et al. Increased levels of Nε-(carboxymethyl)lysine and Nε-(carboxyethyl)lysine in type 1 diabetic patients with impaired renal function: correlation with markers of endothelial dysfunction. Nephrol Dial Transplant. 2004;19:631–6. https://doi.org/10.1093/ndt/gfg619.

    Article  CAS  PubMed  Google Scholar 

  17. Lamprea-Montealegre JA, Arnold AM, McCLelland RL, et al. Plasma Levels of Advanced Glycation Endproducts and Risk of Cardiovascular Events: Findings From 2 Prospective Cohorts. J Am Heart Assoc. 2022;11(15):e024012. https://doi.org/10.1161/JAHA.121.024012. Epub 2022 Jul 29. PMID: 35904195; PMCID: PMC9375486

    Article  PubMed  PubMed Central  Google Scholar 

  18. Monu A. P, Biswas S. AGE/non-AGE glycation: an important event in rheumatoid arthritis pathophysiology. Inflammation. 2022 Apr;45(2):477–96. https://doi.org/10.1007/s10753-021-01589-7. Epub 2021 Nov 17. PMID: 34787800

    Article  CAS  PubMed  Google Scholar 

  19. Bhattacharya R, Alam MR, Kamal MA, Seo KJ, Singh LR. AGE-RAGE axis culminates into multiple pathogenic processes: a central road to neurodegeneration [J]. Front Mol Neurosci. 2023;16:1155175. https://doi.org/10.3389/fnmol.2023.1155175. PMID: 37266370; PMCID: PMC10230046

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Mahmoud AM, Ali MM. High glucose and advanced glycation end products induce CD147-mediated MMP activity in human adipocytes. Cells. 2021;10(8):2098. https://doi.org/10.3390/cells10082098. PMID: 34440867; PMCID: PMC8392673

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Deo P, McCullough CL, Almond T, Jaunay EL, Donnellan L, Dhillon VS, et al. Dietary sugars and related endogenous advanced glycation end-products increase chromosomal DNA damage in WIL2-NS cells, measured using cytokinesis-block micronucleus cytome assay. Mutagenesis. 2020;35(2):169–77. https://doi.org/10.1093/mutage/geaa002. PMID: 31971590

    Article  CAS  PubMed  Google Scholar 

  22. Deo P, Dhillon VS, Thomas P, Fenech M. The Association of Nε-Carboxymethyllysine with Polyunsaturated and Saturated Fatty Acids in healthy individuals. J Gerontol A Biol Sci Med Sci. 2022;77(3):462–70. https://doi.org/10.1093/gerona/glab307.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to acknowledge the hard and dedicated work of all the staff that implemented the intervention and evaluation components of the study.

Funding

This work was supported by Ministry of Health Industry Special Project (No.201302008).

Author information

Authors and Affiliations

  1. Clinical Laboratory, Aviation General Hospital, Beijing, 100000, China

    Daguang Wang

  2. Iphase Pharma Laboratory, Iphase Pharma Services (Think Tank Research Center for Health Development Laboratory), Beijing, 100000, China

    Junshan Wang, Xinghong Liu, Kehe Du & Hongjun Liu

  3. Beijing Hospital Laboratory, National Center for Gerontology, No.1 of Dahua Road, Dongcheng District, Beijing, 100000, China

    Xiaofeng Yang, Tianyi Liu, Qian Liu, Meng Wang & Jian Guo

Authors
  1. Daguang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Junshan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xinghong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kehe Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hongjun Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xiaofeng Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tianyi Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Qian Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Meng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jian Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conception and design of the research: Daguang Wang. Acquisition of data: Junshan Wang, Xiaofeng Yang, Tianyi Liu, Qian Liu, Meng Wang. Analysis and interpretation of the data: Daguang Wang, Junshan Wang, Xinghong Liu, Kehe Du, Xiaofeng Yang, Tianyi Liu. Statistical analysis: Junshan Wang, Qian Liu, Meng Wang. Obtaining financing: Jian Guo. Writing of the manuscript: Daguang Wang, Junshan Wang. Critical revision of the manuscript for intellectual content: Daguang Wang, Junshan Wang, Xinghong Liu, Kehe Du,Hongjun Liu. All authors read and approved the final draft.

Corresponding author

Correspondence to Jian Guo.

Ethics declarations

Ethics approval and consent to participate

This study was conducted with approval from the Ethics Committee of Aviation General Hospital. This study was conducted in accordance with the declaration of Helsinki. Written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, D., Wang, J., Liu, X. et al. Quantifying carboxymethyl lysine and carboxyethyl lysine in human plasma: clinical insights into aging research using liquid chromatography-tandem mass spectrometry. BMC Biotechnol 24, 12 (2024). https://doi.org/10.1186/s12896-024-00838-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12896-024-00838-5

Keywords

BMC Biotechnology

ISSN: 1472-6750

Contact us