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Non-invasive skin cholesterol testing: a potential proxy for LDL-C and apoB serum measurements

Lipids in Health and Disease volume 20, Article number: 137 (2021) Cite this article

Abstract

Background

Lipid management is the first line of treatment for decreasing the incidence of cardiovascular events in patients with coronary heart disease (CHD), and a variety of indicators are used to evaluate lipid management. This work analyses the differences in LDL-C and apoB for lipid management evaluation, as well as explores the feasibility of skin cholesterol as a marker that can be measured non-invasively for lipid management.

Methods

The prospective study enrolled 121 patients who had been diagnosed with acute coronary syndrome (ACS) at the department of emergency medicine of the First Affiliated Hospital of the USTC from May 2020 to January 2021, and the patients were grouped into Group I (n=53) and Group II (n=68) according to whether they had comorbid hyperlipidemia and/or diabetes mellitus. All patients were administered 10 mg/day of rosuvastatin and observed for 12 weeks. Lipid management was assessed on the basis of LDL-C and apoB, and linear correlation models were employed to assess the relationship between changes in these well accepted markers to that of changes in skin cholesterol.

Results

Out of 121 patients with ACS, 53 patients (43.80 %) had combined hyperlipidemia and/or diabetes mellitus (Group I), while 68 patients (56.20 %) did not (Group II). Cardiovascular events occur at earlier ages in patients with CHD who are comorbid for hyperlipidemia and/or diabetes (P<0.05). LDL-C attainment rate is lower than apoB attainment rate with rosuvastatin therapy (P<0.05), which is mainly attributable to patients with low initial LDL-C. Skin cholesterol reduction correlated with LDL-C reduction. (r=0.501, P<0.001) and apoB reduction (r=0.538, P<0.001). Skin cholesterol reduction continued over all time points measured.

Conclusions

Examination of changes in apoB levels give patients with low initial LDL-C more informative data on lipid management than LDL-C readings. In addition, non-invasive skin cholesterol measurements may have the potential to be used independently for lipid management evaluation.

Introduction

Over the past decades, China has achieved remarkable socio-economic development. However, in terms of health, it has shown a rapid increase in the morbidity and mortality of chronic diseases that are mainly part of atherosclerotic cardiovascular disease (ASCVD) [1]. Dyslipidemia is a major contributor to the incidence of cardiovascular events in ASCVD, and the incidence of cardiovascular events in patients with coronary heart disease (CHD) is significantly reduced after receiving lipid-lowering therapy [2, 3]. Numerous associations have published varying lipid guidelines to aid in cardiovascular event risk management. What all the guidelines agree upon is that low-density lipoprotein-cholesterol (LDL-C), the most common clinical marker, is able to evaluate the lipid management of the vast percentage of patients. Yet, in some cases (such as when a patient has a comorbidity of hypertriglyceridemia), the commonly-used Friedewald equation gives an erroneous diagnosis [4]. The 2019 European Society of Cardiology (ESC) lipid guidelines already recommend using apolipoprotein B (apoB) as an evaluation marker in obese people or in the case of combined hyperlipidemia and/or diabetes [5]. Recently, a series of studies has proposed some new equations and assays (such as use of direct LDL-C measurement, nuclear magnetic resonance spectrometry, the Martin equation, and the Sampson equation) for accurately calculating serum LDL-C levels in patients with combined hyperlipidemia and proposed the use of small dense low-density lipoprotein-cholesterol (sdLDL-C) as an alternative to LDL-C for cardiovascular event risk assessment [6, 7]. Despite the complementarity of these evaluation markers, there is still a lack of a single marker that can provide a comprehensive assessment of all patients with CHD.

In 2005, Tzou’s team introduced skin cholesterol to assess the risk of cardiovascular events [8]. Studies have shown a strong connection between skin cholesterol levels and serum cholesterol, and clinical study has shown cholesterol accumulation in the skin is associated with risk of atherosclerotic disease. This suggests that skin cholesterol has a theoretical basis for cardiovascular event risk assessment [8,9,10,11,12,13]. In this study a novel, rapid and non-invasive skin cholesterol detection system that utilizes fluorescence spectroscopy was employed to quickly detect the skin cholesterol level without the need for biopsy [14, 15]. The aim of this study was to investigate the disparities of LDL-C and apoB in the evaluation of lipid management in patients with CHD and study the potential value of skin cholesterol detection in lipid management.

Methods

Study population

154 patients diagnosed with acute coronary syndrome (ACS) between January 2020 and April 2021 were included in the study. According to the exclusion criteria, 121 patients were finally enrolled (Fig. 1). Consenting patients who were diagnosed and treated with a primary cardiovascular event at the First Affiliated Hospital of the USTC, in accordance with the criteria of ACS diagnosis and treatment guidelines [16, 17] were enrolled in the study. Informed consent was obtained and signed. Patients with a history of statin drugs, inability to tolerate statins, severe hepatic or renal insufficiency, and/or obesity (BMI>28 kg/m2) were excluded from the study.

Fig. 1
figure 1

Patients’ selection process: Firstly, a total of 154 patients with ACS were initially enrolled; secondly, 121 patients were selected in the study after screening; finally, these patients were divided into two groups

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Patients were divided into two groups based on the 2019 ESC lipid guidelines which recommend that patients with hyperlipidemia or diabetes have apoB evaluated due to false positive results with LDL-C readings [5]. Group I (n=53): patients had comorbid diabetes and/or hyperlipidemia; and Group II (n=68): patients did not have diabetes or hyperlipidemia.

All patients received 10 mg/day of rosuvastatin as the starting lipid-lowering regimen. Patients with LDL-C <1.8 mmol/L and ≥50 % reduction at the 4th week of follow-up were considered to have achieved the LDL-C standard [18]. ApoB attainment was defined as apoB <65 mg/dl by the 4th week of follow-up [5]. According to the Chinese lipid guidelines, the 12th week was recommended as the follow-up endpoint [1].

Non-invasive skin cholesterol detection

The protocol was approved by Ethics Committee of University of Science and Technology of China (Registration No. 1804h08020291(2018-05-30)). Quantification of skin cholesterol was determined by specifically binding reagents to the skin, causing the cholesterol to fluoresce under excitation light (Fig. 2) [14].

Fig. 2
figure 2

The principle of non-invasive skin cholesterol testing system

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The hypothenar area of the left hand was selected for detection because the skin of the left palm is less abrasive and has fewer melanocytes than the rest of the body, allowing for the detection results to be more stable [15]. Testing was performed by first cleaning the test site with an alcohol swab, applying a plastic-coated annulus to the test site on the skin surface, and placing the examined part on the measuring hole of the detection system to measure the skin background spectrum. Once the background signal was determined, the detection reagent was added drop by drop to fill the annulus. After 60 s, excessive detection reagent was removed with a sterile cotton swab, and the cleaning reagent was added to the annulus for 30 s before removal with a sterile cotton swab. The treated portion of skin was then placed over the measuring hole of the detection system. A comparison of the two spectra allows for a quantification of skin cholesterol [14] (Fig. 3).

Fig. 3
figure 3

Detection process of non-invasive skin cholesterol testing system

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Data collection

Serum lipids were also collected and analyzed [2]. The reduction of skin cholesterol, LDL-C, and apoB were calculated from subtracting the follow-up values from the initial values. Four follow-up nodes were established for this study: the 2nd week of statin therapy, the 4th week of statin therapy, the 8th week of statin therapy, the 12th week of statin therapy.

Statistical analysis

Repeated measure 1-way ANOVAs with Tukey post-tests were performed to compare data from different time points. For the categorical variables, the comparison was made using the chi-square test (χ2 test) / Fisher’s exact test. Paired t-test was used for comparison of continuous variables within the group. Linear correlation analysis was performed between skin cholesterol reduction and LDL-C reduction, and skin cholesterol reduction with apoB reduction. A p-value <0.05 was rated as statistically significant.

Results

Characteristics of coronary heart disease patients with vs. without comorbidities of diabetes and/or hyperlipidemia

The study enrolled 121 patients with ASCVD. Group I contained 13 patients with hyperlipidemia, 7 patients with diabetes, 3 patients with hyperlipidemia and diabetes, 6 patients with hypertension and hyperlipidemia, 18 patients with hypertension and diabetes, and 6 patients with hypertension, hyperlipidemia and diabetes.

The mean age of patients in Group I was 56.43 years old, which is significantly lower than the mean age of 62.26 years old in the Group II (P<0.05). There were 24 smokers in Group I and 22 in Group II, all of whom were male. Smokers accounted for 45.28 % and 39.29 % of male patients in each group, respectively (P<0.05). No statistical significance was found regarding gender composition nor history of hypertension (Table 1).

Table 1 General patient information
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Patients in Group I had higher triglycerides (TG) (2.25±2.04 mmol/L ) than Group II (1.44±0.51 mmol/L) at admission (P<0.001). The apoB on admission was higher in Group I (1.01±0.48 g/L) than in the Group II (0.86±0.23 g/L) (P<0.05). There were not any differences between groups in high density lipoprotein cholesterol (HDL-C), LDL-C, number of low initial LDL-C cases, apolipoprotein A-1 (apoA-1), lipoprotein (a) (Lp (a)), nor initial skin cholesterol at admission (Table 1).

Comparison of LDL-C and apoB in the evaluation of lipid management results between two groups

The 121 patients enrolled were evaluated for lipid management based on whether the desired goals for LDL-C and apoB were achieved at the 4th week of follow-up. The 53 patients in Group I contained 30 patients with apoB (+) and 23 patients with apoB (-), 20 patients with LDL-C(+) and 33 patients with LDL-C (-) (P<0.05). The 68 patients from Group II included 33 patients with apoB (+) and 35 patients with apoB (-), 20 patients with LDL-C (+) and 48 patients with LDL-C (-) ( P<0.05) (Table 2).

Table 2 Differences in LDL-C and apoB evaluation results
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Analysis of the 9 patients in Group I with low initial LDL-C revealed that there were 0 patients with LDL-C (+) /apoB (+), 0 patients with LDL-C (+) /apoB (-), 6 patients with LDL-C (-) /apoB (+), and 3 patients with LDL-C (-)/apoB (-) (P<0.05). The 12 patients from Group II included 1 patient with LDL-C (+)/apoB (+), 0 patient with LDL-C (+)/apoB (-), 6 patients with LDL-C (-)/apoB (+), 5 patients with LDL-C (-)/apoB (-) (P<0.05) (Table 3).

Table 3 Differences in the evaluation results of LDL-C and apoB in two groups of patients with low initial LDL-C
Full size table

Association of skin cholesterol with LDL-C, apoB and follow-up time

Although the linear correlation analysis showed lack of correlation between initial skin cholesterol and initial LDL-C (Fig. 4), the correlation between skin cholesterol reduction and LDL-C reduction was significant (r=0.501, P<0.001) implying that skin cholesterol reduces in conjunction with LDL-C reduction (Fig. 5). A similar linear correlation was seen between skin cholesterol reduction and apoB reduction (r=0.538, P<0.0001) (Fig. 6).

Fig. 4
figure 4

Linear correlation analysis of association between initial skin cholesterol and initial LDL-C (Group I and Group II)

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Fig. 5
figure 5

Linear correlation analysis of association between skin cholesterol reduction and LDL-C reduction (Group I and Group II)

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Fig. 6
figure 6

Linear correlation analysis of association between skin cholesterol reduction and initial apoB reduction (Group I and Group II)

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ApoB (+) patients in Group I had a continual reduction in skin cholesterol over the first 8 weeks (P=0.047, P=0.038), and portrayed a stable trend between the 8th week and 12th week (Fig. 7). Furthermore, skin cholesterol in Group II LDL-C (+) patients (P=0.026, P=0.032, P=0.171) decreased over all time points measured (Fig. 8).

Fig. 7
figure 7

1-way ANOVAs of association between skin cholesterol reduction and follow-up time in Group I apoB (+) patients; no significant correlation between kin cholesterol reduction and follow-up time in Group I apoB (-) patients occured

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Fig. 8
figure 8

1-way ANOVAs of association between skin cholesterol reduction and follow-up time in Group II LDL-C (+) patients; No significant correlation between kin cholesterol reduction and follow-up time in Group II LDL-C (-) patients occured

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Discussion

With the progress of society, morbidity and mortality from CHD are increasing. Dyslipidemia is closely related to the development of CHD. Currently, guidelines recommend LDL-C as a therapeutic marker for the evaluation of lipid management and cardiovascular event risk status [5, 20]. However, the single marker use of LDL-C calculated by the Friedewald equation is inadequate in specific conditions that are prone to false positives. Although Sampson et al. has proposed a calibration formula to more accurately calculating serum LDL-C levels in hyperlipidemic patients [21], the European society of cardiology has proposed the introduction of apoB to assist in the evaluation [5]. ApoB and LDL-C are similar in clinical significance, with apoB being preferred to LDL-C in the assessment of ASCVD risk with diabetic comorbidity [22,23,24,25]. In recent years, with the increasing number of patients with CHD who have comorbidities of hyperlipidemia and/or diabetes mellitus [26,27,28], the importance of apoB has been elevated. Further understanding of the differences in the effects of marker evaluation and the exploration of single markers would be beneficial for the management of lipids in patients with CHD in clinical applications.

In this study, patients with comorbid hyperlipidemia and/or diabetes accounted for 43.80 % of the patients recruited during the same period, and the mean age of onset was 56.43 years old in Group I, significantly lower than the average 62.26 years old in Group II. This suggested that patients with more risk factors suffered earlier CHD incidents than those with fewer risk factors, similar to the findings of recent studies [29].

The assessment of lipid management outcomes using LDL-C and apoB showed significant differences between Group I and Group II. Further analysis revealed differences mainly in the results of the evaluation of patients with low initial LDL-C. Patients with low initial LDL-C on a 10 mg/day rosuvastatin regimen had trouble achieving the desired goal after 4 weeks of treatment and had difficulty meeting the LDL-C evaluation compliance requirements. However, those patients had absolute serum LDL-C values within the ideal range and were at low risk of recurrent cardiovascular events. This data suggests that it might be more feasible to use apoB to assess lipid management status in patients with initial low LDL-C.

The study here within evaluated skin cholesterol as another marker. In a previous study, the team analyzed 342 study subjects (110 atherosclerosis patients, 117 high-risk and 115 low-risk individuals) and found that skin cholesterol was associated with atherosclerotic disease [15]. Skin cholesterol was associated with a variety of factors, such as age [30], gender [31], genetic disorders [32, 33], and degree of skin tanning [34]. The lack of correlation between initial skin cholesterol and initial LDL-C in the study might be due to these confounding multiple factors in the tested population. Therefore, the effect of individual differences was normalized by calculating the skin cholesterol reduction. By doing so, reductions in both traditional serum markers and a potential non-invasive marker for lipid management could be significantly correlated to each other. According to the guideline recommendation, apoB grouping was used for patients in Group I, and it was found that the rate of skin cholesterol reduction increased over time in patients who met the standard, while the rate of skin cholesterol reduction in patients who did not meet the standard was poorly associated with the follow-up time. Patients in Group II were grouped using LDL-C, and the trend in skin cholesterol reduction with time was similar to that of Group I. This reflects the ability of skin cholesterol to reveal whether LDL-C and apoB standards are met, which in combination with clinical findings suggests the potential value of skin cholesterol for lipid management evaluation in patients with CHD.

As research progresses, new LDL-C calculation equations and assays have been proposed [6, 7, 21]. The Martin equation was a further development of the Friedewald equation that reduced the calculation error for low LDL-C levels. In addition, direct LDL-C assays can compensate for the large detection error of the Friedewald equation when TG >400 mg/dL. Moreover, the Sampson equation is a more comprehensive equation that studies have shown can be used to calculate LDL-C in patients with any TG level. Nuclear magnetic resonance spectrometry can detect both LDL-C concentration and LDL-C particle size which is a good guide for further response to ASCVD risk. Compared with these equations and assays, skin cholesterol has its own unique advantages: it eliminates the need for precise measurement of serum LDL-C while determining the effect of statin therapy; it can be applied to all patients, including those with low initial LDL-C levels; it is a simple, non-invasive test that takes only a few minutes; and the test instrument is portable and ideal for use by family physicians.

Study strengths and limitations

Evidence is provided within the current work which supports that apoB can be used for lipid management in patients with low initial LDL-C. Data is also provided depicting that skin cholesterol reduction is positively correlated with LDL-C reduction and apoB reduction. Therefore, skin cholesterol has potential value for lipid management evaluation in patients with CHD. Moreover, since the basic information of the patients in the study is similar to other studies, this work can be expanded to further develop non-invasive skin cholesterol testing in the future [35, 36].

This study was limited by the follow-up time of each patient. This is due to guidelines requesting that lipid-lowering regimens need to be adjusted for patients who remain poorly controlled on lipid-lowering medications for 12 weeks. In addition, the study suffered from the shortcomings of a single center, small sample, and short duration.

Conclusions

The current study analyzed the differences in the application of LDL-C and apoB and provided guidance for clinical work. In addition, the study identified the potential value of skin cholesterol for lipid management in patients with ACS, providing a reference for the selection of markers for lipid management. Moreover, use of skin cholesterol as a marker could enhance lipid management in patients with ACS since the method of detection is non-invasive.

Availability of data and materials

Data and materials are available online or from corresponding authors upon request.

Abbreviations

ASCVD:

atherosclerotic cardiovascular disease

CHD:

coronary heart disease

LDL-C :

low-density lipoprotein-cholesterol

ESC:

European Society of Cardiology

apoB:

apolipoprotein B

ACS:

acute coronary syndrome

HDL-C:

high density liptein cholesterol

apoA-1:

apolipoprotein A-1

Lp (a):

lipoprotein (a)

low initial LDL-C :

LDL-C<1.8mmol/L at admission

LDL-C (+) :

patients met criteria by LDL-C assessment

LDL-C (-):

patient does not meet criteria by LDL-C assessment

apoB (+):

patients met criteria by apoB assessment

apoB (-):

patient does not meet criteria by apoB assessment

References

  1. Chen WL, Gao RL, Liu LS, Zhu ML, Wang W, Wang YZ, et al. Summary of the China Cardiovascular Disease Report 2017. Chinese Circulation Journal. 2018;33(1):1–8.

    Google Scholar 

  2. Alenghat FJ, Davis AM. Management of Blood Cholesterol JAMA. 2019;321(8):800–1.

    PubMed  Google Scholar 

  3. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364(9438):937–52.

    Article  Google Scholar 

  4. Langlois MR, Descamps OS, van der Laarse A, Weykamp C, Baum H, Pulkki K, et al. Clinical impact of direct HDLc and LDLc method bias in hypertriglyceridemia. A simulation study of the EAS-EFLM Collaborative Project Group. Atherosclerosis. 2014;233(1):83–90.

    Article  CAS  Google Scholar 

  5. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk. Atherosclerosis. 2019;290:140–205.

    Article  Google Scholar 

  6. Wolska A, Remaley AT. Measuring LDL-cholesterol: what is the best way to do it? Curr Opin Cardiol. 2020;35(4):405–11.

    Article  Google Scholar 

  7. Sampson M, Wolska A, Warnick R, Lucero D, Remaley AT. A New Equation Based on the Standard Lipid Panel for Calculating Small Dense Low-Density Lipoprotein-Cholesterol and Its Use as a Risk-Enhancer Test. Clin Chem. 2021;67(7):987–97.

    Article  Google Scholar 

  8. Tzou WS, Mays ME, Korcarz CE, Aeschlimann SE, Stein JH. Skin cholesterol content identifies increased carotid intima-media thickness in asymptomatic adults. Am Heart J. 2005;150(6):1135–9.

    Article  CAS  Google Scholar 

  9. Hu H, Gao Y, Tang J, Zhao Y, Wang H, Jiang H. Effect of a high-cholesterol diet on lipoprotein metabolism and xanthoma formation in rabbits. J Cosmet Dermatol. 2018;17(5):885–8.

    Article  Google Scholar 

  10. Vaidya D, Ding J, Hill JG, Lima JAC, Crouse JR 3rd, Kronmal RA, et al. Skin tissue cholesterol assay correlates with presence of coronary calcium. Atherosclerosis. 2005;181(1):167–73.

    Article  CAS  Google Scholar 

  11. Sprecher DL, Pearce GL. Elevated skin tissue cholesterol levels and myocardial infarction. Atherosclerosis. 2005;181(2):371–3.

    Article  CAS  Google Scholar 

  12. Sprecher DL, Pearce GL. Skin cholesterol adds to Framingham risk assessment. Am Heart J. 2006;152(4):694–6.

    Article  CAS  Google Scholar 

  13. Stein JH, Tzou WS, DeCara JM, Hirsch AT, Mohler ER 3rd, Ouyang P, et al. Usefulness of increased skin cholesterol to identify individuals at increased cardiovascular risk (from the Predictor of Advanced Subclinical Atherosclerosis study). Am J Cardiol. 2008;101(7):986–91.

    Article  CAS  Google Scholar 

  14. Wu P, Ni J, Hong H, Li X, Yao B, Zheng H, et al. Rapid Non-Invasive Technology for Skin Cholesterol Detection Based on Fluorescent Spectrometry. Chin J Lasers. 2021;48(3):0307002.

    Article  Google Scholar 

  15. Ni J, Hong H, Zhang Y, Tang S, Han Y, Fang Z, et al. Development of a non-invasive method for skin cholesterol detection: pre-clinical assessment in atherosclerosis screening. Biomed Eng Online. 2021;20(1):52.

    Article  Google Scholar 

  16. Tan W, Inoue K, AbdelWareth L, Giannitsis E, Sazzli K, Shiozaki M, et al. The Asia-Pacific Society of Cardiology (APSC) Expert Committee Consensus Recommendations for Assessment of Suspected Acute Coronary Syndrome Using High-Sensitivity Cardiac Troponin T in the Emergency Department. Circ J. 2020;84(2):136–43.

    Article  CAS  Google Scholar 

  17. Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, et al. 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J. 2021;42(14):1289–367.

    Article  Google Scholar 

  18. Valgimigli M, Gragnano F, Branca M, Franzone A, Baber U, Jang Y, et al. P2Y12 inhibitor monotherapy or dual antiplatelet therapy after coronary revascularisation: individual patient level meta-analysis of randomised controlled trials. BMJ. 2021;373:n1332.

    Article  Google Scholar 

  19. Gragnano F, Calabrò P, Valgimigli M. Is triple antithrombotic therapy, or rather its duration and composition, the true culprit for the excess of bleeding events observed in patients with atrial fibrillation undergoing coronary intervention? Eur Heart J. 2019;40(2):216–7.

    Article  Google Scholar 

  20. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, et al 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019; 139(25): e1082-e1143.

  21. Sampson M, Ling C, Sun Q, Harb R, Ashmaig M, Warnick R, et al. A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia. JAMA Cardiol. 2020;5(5):540–8.

    Article  Google Scholar 

  22. Sniderman AD, Williams K, Contois JH, Monroe HM, McQueen JM, Graaf JD, et al. A meta-analysis of low-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol, and apolipoprotein B as markers of cardiovascular risk. Circ Cardiovasc Qual Outcomes. 2011;4(3):337–45.

    Article  Google Scholar 

  23. Sniderman AD, Thanassoulis G, Glavinovic T, Navar AM, Pencina M, Catapano A, et al. Apolipoprotein B Particles and Cardiovascular Disease: A Narrative Review. JAMA Cardiol. 2019;4(12):1287–95.

    Article  Google Scholar 

  24. Ohukainen P, Kuusisto S, Kettunen J, Perola M, Järvelin M, Mäkinen V, et al. Data-driven multivariate population subgrouping via lipoprotein phenotypes versus apolipoprotein B in the risk assessment of coronary heart disease. Atherosclerosis. 2020;294:10–5.

    Article  CAS  Google Scholar 

  25. Fonseca L, Paredes S, Ramos H, Oliveira JC, Palma I. Apolipoprotein B and non-high-density lipoprotein cholesterol reveal a high atherogenicity in individuals with type 2 diabetes and controlled low-density lipoprotein-cholesterol. Lipids Health Dis. 2020;19(1):127.

    Article  CAS  Google Scholar 

  26. Wu H, Bragg F, Yang L, Du H, Guo Y, Jackson CA, et al. Sex differences in the association between socioeconomic status and diabetes prevalence and incidence in China: cross-sectional and prospective studies of 0.5 million adults. Diabetologia. 2019;62(8):1420–9.

    Article  Google Scholar 

  27. Gao Y, Ping Z, Pei X, Cai Y, Wang J. [Multi-correspondence analysis of the status and related factors of chronic diseases multimorbidity in middle-aged and elderly people in China in 2009]. Wei Sheng Yan Jiu. 2020;49(5):844–9.

    PubMed  Google Scholar 

  28. Gan W, Bragg F, Walters RG, Millwood LY, Lin K, Chen Y, et al. Genetic Predisposition to Type 2 Diabetes and Risk of Subclinical Atherosclerosis and Cardiovascular Diseases Among 160,000 Chinese Adults. Diabetes. 2019;68(11):2155–64.

    Article  CAS  Google Scholar 

  29. Andersson C, Vasan RS. Epidemiology of cardiovascular disease in young individuals. Nat Rev Cardiol. 2018;15(4):230–40.

    Article  Google Scholar 

  30. Haze S, Gozu Y, Nakamura S, Kohno Y, Sawano K, Ohta H, et al. 2-Nonenal newly found in human body odor tends to increase with aging. J Invest Dermatol. 2001;116(4):520–4.

    Article  CAS  Google Scholar 

  31. Cui L, He CF, Fan LN, Jia Y. Application of lipidomics to reveal differences in facial skin surface lipids between males and females. J Cosmet Dermatol. 2018;17(6):1254–61.

    Article  Google Scholar 

  32. Gaspar IM, Gaspar A. Variable expression and penetrance in Portuguese families with Familial Hypercholesterolemia with mild phenotype. Atheroscler Suppl. 2019;36:28–30.

    Article  CAS  Google Scholar 

  33. Martins CR, Creemers E, Absalah S, Hoekstra M, Gooris GS, Bouwstra JA, et al. Hyperalphalipoproteinemic scavenger receptor BI knockout mice exhibit a disrupted epidermal lipid barrier. Biochim Biophys Acta Mol Cell Biol Lipids. 2020;1865(3):158592.

    Article  Google Scholar 

  34. Wright AC, Bohning DE, Pecheny AP, Spicer KM. Magnetic resonance chemical shift microimaging of aging human skin in vivo: initial findings. Skin Res Technol. 1998;4(2):55–62.

    Article  CAS  Google Scholar 

  35. Yang D, Ji Y, Wang D, Watase H, Hippe DS, Zhao X, et al. Comparison of carotid atherosclerotic plaques between subjects in Northern and Southern China: a Chinese atherosclerosis risk evaluation study. Stroke Vasc Neurol. 2020;5(2):138–45.

    Article  CAS  Google Scholar 

  36. Cao Y, Zhao X, Watase H, Hippe DS, Wu Y, Zhang H, et al. Comparison of Carotid Atherosclerosis between Patients at High Altitude and Sea Level: A Chinese Atherosclerosis Risk Evaluation Study. J Stroke Cerebrovasc Dis. 2020;29(2):104448.

    Article  Google Scholar 

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Acknowledgements

Not applicable.

Funding

National Natural Science Foundation of China (81973314); Key Research and Development Program of Anhui Province (1804h08020291).

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Authors and Affiliations

  1. Department of Emergency Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

    Jiacheng Lai, Yongsheng Han, Chongjian Huang & Bin Li

  2. Emergency and Trauma Center, The International Medical Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

    Jiacheng Lai

  3. Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instruments, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China

    Jingshu Ni, Meili Dong & Yikun Wang

  4. Institute of Clinical Pharmacology, Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Collaborative Innovation Center of Anti-inflammatory and Immune Medicine, Anhui Medical University, Hefei, China

    Qingtong Wang

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  1. Jiacheng Lai
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Contributions

Yongsheng Han and Qingtong Wang designed the research; Jiacheng Lai, Chongjian Huang, and Bin Li performed the study and collected the data; Jiacheng Lai and Yongsheng Han analyzed the data; Jiacheng Lai wrote the manuscript; Jingshu Ni, Meili Dong, and Yikun Wang developed the non-invasive skin cholesterol detection system; Yongsheng Han and Qingtong Wang revised the manuscript. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Yongsheng Han or Qingtong Wang.

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Participants were provided with oral and written informed consent. Written informed consent was obtained from all subjects prior to enrollment in the study.

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Lai, J., Han, Y., Huang, C. et al. Non-invasive skin cholesterol testing: a potential proxy for LDL-C and apoB serum measurements. Lipids Health Dis 20, 137 (2021). https://doi.org/10.1186/s12944-021-01571-0

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Lipids in Health and Disease

ISSN: 1476-511X