Background
Homocysteine (Hcy) is a sulfur-containing amino acid produced during the metabolism of methionine in cells of the body which involves folic acid and vitamin B12. Its pathogenic mechanism includes vascular endothelial damage, stimulating smooth muscle cell proliferation, affecting coagulation and thrombus activation, etc. The elevation of Hcy is considered an independent risk factor for cardiovascular and cerebrovascular diseases [1, 2]. In this paper, we report the level and distribution characteristics of Hcy and their correlation between other biochemical indicators by analyzing a population of 8063 medical examination results, as well as the possible influencing factor for cardiovascular and cerebrovascular diseases.
Methods
The subjects of this study came from a total of 8063 cases of the physical examination population in our hospital from February 2017 to April 2020. Inclusion criteria: (1) Daily physical fitness; (2) No acute or chronic infections, tumors or rheumatic diseases were found after clinical examination. Exclusion criteria: (1) Recent use of drugs affecting blood Hcy level and blood lipid level; (2) Subjects with severe liver and kidney insufficiency, anemia, and cardiac insufficiency; (3) Genetic metabolic diseases, malignant tumors, connective tissue diseases, etc. This research protocol was approved by the Ethics Committee of Nantong University Affiliated Hospital. The distribution characteristics of Hcy, blood lipids and other biochemical indicators, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), and pulse of the physical examination population were observed. The subjects were stratified according to gender and Hcy in low (Hcy ≤ 15 μmol/L) and high (Hcy > 15 μmol/L) Hcy group. Other indicators are divided into normal group and abnormal group according to the literature [3‐10].
Anzeige
5 mL of venous blood was collected from subjects fasted for 12 h into a vacuum test tube containing separation gel. After the blood coagulated, the serum was separated by centrifugation at 2062g for 10 min within 2 h and tested on the machine. All tests were carried out with the internal quality control when the instrument and reagents were in normal condition, and were carried out in strict accordance with the reagent and instrument standard operating procedures (SOP). All biochemical indexes measured on Beckman-Coulter AU5800 automatic analyzer. Hcy (enzyme cycling method) kit (LOT: 0200103) and calibrator were purchased from Qiangsheng Biotechnology Co., Ltd., quality control products were provided by Shanghai Kunlai Biotechnology Company; ALT (lactate dehydrogenase method), ALP (NPP substrate-AMP buffer method)), γ-GT (rate method), TBIL (diazonium method), TG (GPO-POD method), TC (cholesterol oxidase method), LDL-c (direct method), HDL-c (direct method), GLU (hexokinase method), BUN (urease-glutamate dehydrogenase method), Cr (sarcosine oxidase method), UA (uricase-peroxidase method) are tested by Beckman-Coulter Original kits and calibrators, quality control products are provided by Bio-Rad.
Statistical analysis
Statistical software stata 20.0 was used for data analysis, skewness and kurtosis normality test (sktest). Numerical variables of the normal distribution were expressed by the mean ± standard deviation, and the comparison between two groups was performed by the T test; the median (interquartile range) was used to express numerical variables of the non-normal distribution, and the Mann–Whitney U test was used for comparison between the two groups. Kruskal–Wallis test was used for comparison among multiple groups. The qualitative data were all expressed by the number of cases (percentage), and the chi-square test was used for comparison between groups. This study analyzed the relationship between Hcy and TC, TG, LDL-c, HDL-c, ALT, ALP, TBIL, γ-GT, Urea, Cr and UA through single factor, multivariate linear regression and logistic regression models. The skewed numerical variables were analyzed after natural logarithmic transformation, and the multivariate regression was adjusted for age, gender, smoking, drinking, pulse, and BMI. P < 0.05 was considered statistically significant.
Results
General characteristics
This study included 8063 subjects with an average age of (50.88 ± 11.92) years old, BMI (25.02 ± 3.39) kg/m2, SBP (130.54 ± 18.85) mmHg, DBP (78.66 ± 11.96) mmHg, pulse (77.54 ± 11.31) times/min. Among them, 5478 cases were male, accounting for 67.94%, and 2585 cases were female, accounting for 32.06%, All subjects were aged between 20 and 79 years old. The BMI, SBP, DBP, and glucose of men were higher than women, and the difference was statistically significant (P < 0.001), while the pulse rate of men was lower than that of women with a statistically significant difference (P < 0.001). Among men, the proportion of smoking was 23.95% and the proportion of drinking was 64.8%, which were much higher than those of women. Male ALT, γ-GT, TBIL, TG, LDL-c, Urea, Cr, UA were all higher than females, and the difference was statistically significant (P < 0.001). TC, HDL-C were lower than females (P < 0.001), and there was no statistical difference in ALP between the two groups (P = 0.054), Table 1.
Table 1
Distribution characteristics of the study population grouped by gender
Total (n = 8063) | Male (n = 5478) | Female (n = 2585) | P | |
|---|---|---|---|---|
Age (year-old), mean ± SD | 50.88 ± 11.92 | 49.98 ± 11.49 | 52.87 ± 12.59 | < 0.001 |
BMI (kg/m2), mean ± SD | 25.02 ± 3.39 | 25.54 ± 3.22 | 23.91 ± 3.48 | < 0.001 |
SBP (mmHg), mean ± SD | 130.54 ± 18.85 | 131.49 ± 17.28 | 128.52 ± 21.68 | < 0.001 |
DBP (mmHg), mean ± SD | 78.66 ± 11.96 | 81.13 ± 11.46 | 73.43 ± 11.30 | < 0.001 |
Pulse (bpm), mean ± SD | 77.54 ± 11.31 | 76.77 ± 11.18 | 79.19 ± 11.42 | < 0.001 |
Smoking status, N (%) | < 0.001 | |||
Current and former | 1312 (16.27) | 1312 (23.95) | 0 (0.00) | |
Never | 6751 (83.73) | 4166 (76.05) | 2585 (100) | |
Alcohol dringking, N (%) | < 0.001 | |||
Current and former | 1930 (23.94) | 1928 (35.20) | 2 (0.08) | |
Never | 6133 (76.06) | 3550 (64.80) | 2583 (99.92) | |
Hcy (μmol/L), M(P25–P75) | 10.2 (8.3–12.8) | 10.9 (9–13.8) | 8.6 (7.1–10.7) | < 0.001 |
ALT (U/L), M(P25–P75) | 24 (18–34) | 26.5 (20–38) | 19 (15–26) | < 0.001 |
ALP (U/L), M(P25–P75) | 81 (67–96) | 81 (69–95) | 80 (65–98) | 0.054 |
γ-GT (U/L), M(P25–P75) | 28 (19–45) | 33 (23–53) | 18 (14–27) | < 0.001 |
TBIL (μmol/L), M(P25–P75) | 13.7 (10.8–17.3) | 14.4 (11.6–18.1) | 12 (9.6–15.1) | < 0.001 |
GLU (mmol/L), M(P25–P75) | 5.3 (4.9–5.8) | 5.3 (5–5.8) | 5.2 (4.9–5.6) | < 0.001 |
TC (mmol/L), M(P25–P75) | 5.1 (4.5–5.8) | 5.1 (4.5–5.7) | 5.2 (4.6–5.8) | < 0.001 |
TG (mmol/L), M(P25–P75) | 1.4 (0.95–2.1) | 1.54 (1.05–2.32) | 1.14 (0. 81–1.67) | < 0.001 |
HDL-c (mmol/L), M(P25–P75) | 1.27 (1.09–1.49) | 1.2 (1.05–1.39) | 1.44 (1.24–1.67) | < 0.001 |
LDL-c (mmol/L), M(P25–P75) | 3.06 (2.54–3.57) | 3.07 (2.56–3.59) | 3.01 (2.51–3.53) | 0.013 |
Urea (mmol/L), M(P25–P75) | 5.3 (4.5–6.1) | 5.4 (4.6–6.3) | 5 (4.1–5.9) | < 0.001 |
Cr (μmol/L), M(P25–P75) | 67 (57–76) | 72 (66–80) | 53 (48–59) | < 0.001 |
UA (μmol/L), M(P25–P75) | 332 (269–393) | 363 (313–416) | 256 (218–304) | < 0.001 |
Comparison of Hcy between different groups
Table 2 shows the comparison of Hcy among different groups. Hcy of males are higher than that of females (P < 0.001), Hcy of smokers and drinkers are higher than the control group (P < 0.001), Hcy of the overweight and obese groups are higher than the thin and normal BMI groups. (P < 0.001), Hcy of the abnormal blood pressure group is higher than the normal hypertension group (P < 0.001), Hcy of the abnormal GLU group is higher than the normal GLU group (P = 0.002) and the Hcy of abnormal TG and HDL is higher than that of the normal blood lipid group (P < 0.001); Hcy of people with abnormal UA and Urea was higher than that of people with normal renal function (P < 0.001, P = 0.007).
Table 2
Comparison of Hcy between different groups
Hcy (n = 8063) | Z/H | P | Male | Female | |||||
|---|---|---|---|---|---|---|---|---|---|
Hcy(n = 5478) | Z/H | P | Hcy(n = 2585) | Z/H | P | ||||
Sex | 30.910 | < 0.001 | – | – | – | – | |||
Male | 10.9 (9.0–13.8) | – | – | ||||||
Female | 8.6 (7.1–10.7) | – | – | ||||||
Smoking status | − 8.896 | < 0.001 | 0.581 | 0.5610 | – | – | |||
Current and former | 10.9 (9.0–13.8) | 10.9 (9.0–13.8) | – | ||||||
Never | 10.1 (8.1–12.7) | 11.0 (9.1–13.8) | 8.6 (7.1–10.7) | ||||||
Alcohol drinking | − 11.048 | < 0.001 | 1.183 | 0.2368 | 0.660 | 0.510 | |||
Current and former | 10.8 (9.0–13.6) | 10.8 (9.0–13.6) | 7.8 (6.9–8.7) | ||||||
Never | 10.0 (8.1–12.6) | 11.0 (9.1–13.9) | 8.6 (7.1–10.7) | ||||||
BMI(kg/m2) | 117.157 | < 0.001 | 4.565 | 0.2066 | 32.569 | < 0.001 | |||
Weight loss | 9.2 (7.9–12.4) | 11.8 (8.9–15.9) | 8.6 (7.2–10.2) | ||||||
Normal | 9.7 (7.9–12.2) | 10.7 (8.9–13.6) | 8.4 (7.0–10.4) | ||||||
Overweight | 10.5 (8.5–13.2) | 11.1 (9.1–13.8) | 8.7 (7.1–10.9) | ||||||
Obesity | 10.6 (8.7–13.5) | 10.8 (9–13.95) | 9.5 (7.9–11.5) | ||||||
Blood pressure (mmHg) | − 12.666 | < 0.001 | − 4.511 | < 0.0001 | − 9.976 | < 0.001 | |||
Normal | 9.6 (7.8–12.2) | 10.7 (8.8–13.4) | 8.2 (6.8–10.0) | ||||||
Abnormal | 10.6 (8.7–13.4) | 11.1 (9.2–14.1) | 9.2 (7.7–11.4) | ||||||
ALT (U/L) | − 0.004 | 0.997 | 2.069 | 0.0386 | 0.582 | 0.560 | |||
Normal | 10.2 (8.3–12.8) | 11.0 (9.1–13.9) | 8.6 (7.2–10.7) | ||||||
Abnormal | 10.3 (8.3–12.7) | 10.7 (8.8–13.3) | 8.5 (6.9–10.9) | ||||||
ALP (U/L) | 2.573 | 0.010 | 1.676 | 0.0938 | 0.349 | 0.728 | |||
Normal | 10.3 (8.3–12.8) | 11.0 (9.0–13.8) | 8.6 (7.2–10.7) | ||||||
Abnormal | 9.6 (8.0–12.4) | 10.5 (8.8–13.7) | 8.55 (7.0–10.9) | ||||||
γ-GT (U/L) | − 5.507 | < 0.001 | − 1.082 | 0.2792 | − 1.246 | 0.213 | |||
Normal | 10.1 (8.2–12.7) | 10.9 (9–13.7) | 8.6 (7.1–10.6) | ||||||
Abnormal | 10.8 (8.6–13.5) | 11.1 (9–14.1) | 8.7 (7.3–11.3) | ||||||
TBIL (μmol/L) | − 7.236 | < 0.001 | − 4.158 | < 0.0001 | − 0.749 | 0.454 | |||
Normal | 10.1 (8.2–12.7) | 10.9 (9.0–13.7) | 8.6 (7.2–10.7) | ||||||
Abnormal | 11.2 (9.1–13.9) | 11.7 (9.6–14.2) | 8.8 (7.0–11.6) | ||||||
GLU (mmol/L) | − 3.109 | 0.002 | 2.112 | 0.0347 | − 3.922 | < 0.001 | |||
Normal | 10.2 (8.2–12.8) | 11.0 (9–13.8) | 8.6 (7.1–10.6) | ||||||
Abnormal | 10.5 (8.6–13.1) | 10.8 (9–13.7) | 9.2 (7.6–11.4) | ||||||
TC (mmol/L) | − 1.192 | 0.233 | − 1.222 | 0.2216 | − 3.506 | < 0.001 | |||
Normal | 10.2 (8.2–12.8) | 10.9 (9.0–13.8) | 8.5 (7.0–10.4) | ||||||
Abnormal | 10.2 (8.3–12.9) | 11.1 (9.1–13.8) | 8.8 (7.3–11.0) | ||||||
TG (mmol/L) | − 9.402 | < 0.001 | − 2.261 | 0.0237 | − 4.309 | < 0.001 | |||
Normal | 10.0 (8.0–12.5) | 10.9 (9.0–13.6) | 8.5 (7.0–10.6) | ||||||
Abnormal | 10.6 (8.7–13.4) | 11.0 (9.1–14.0) | 9.0 (7.5–11.1) | ||||||
HDL (mmol/L) | − 5.308 | < 0.001 | 0.698 | 0.4855 | 0.0274 | 0.027 | |||
Normal | 10.1 (8.2–12.7) | 10.9 (9.0–13.9) | 8.6 (7.1–10.7) | ||||||
Abnormal | 10.7 (8.7–13.4) | 10.9 (8.9–13.5) | 8.8 (7.7–12.1) | ||||||
LDL (mmol/L) | − 0.313 | 0.754 | 1.086 | 0.2776 | − 0.879 | 0.380 | |||
Normal | 10.2 (8.3–12.8) | 11.0 (9.0–13.8) | 8.6 (7.1–10.6) | ||||||
Abnormal | 10.2 (8.3–12.8) | 10.8 (9.0–13.7) | 8.7 (7.2–10.9) | ||||||
Urea (mmol/L) | − 2.691 | 0.007 | − 1.822 | 0.068 | − 1.759 | 0.079 | |||
Normal | 10.2 (8.3–12.8) | 10.9 (9.0–13.8) | 8.6 (7.1–10.6) | ||||||
Abnormal | 10.9 (8.3–14.1) | 11.6 (9.2–14.8) | 9.4 (7.2–11.6) | ||||||
Cr(μmol/L) | 0.030 | 0.976 | − 0.188 | 0.851 | 1.649 | 0.099 | |||
Normal | 10.2 (8.3–12.8) | 10.9 (9.0–13.8) | 8.7 (7.2–10.7) | ||||||
Abnormal | 10.2 (8.0–13.4) | 11.0 (8.8–14.2) | 8.2 (6.7–10.8) | ||||||
UA(μmol/L) | − 13.132 | < 0.001 | − 5.409 | < 0.001 | − .389 | < 0.001 | |||
Normal | 10.0 (8.1–12.5) | 10.8 (8.9–13.6) | 8.5 (7.0–10.5) | ||||||
Abnormal | 11.1 (9.2–14.2) | 11.3 (9.4–14.5) | 9.8 (8.4–12.5) | ||||||
Anzeige
Regardless of gender, Hcy was higher in the group with abnormal TG、UA and BP than in the group with normal (P < 0.001); According to gender stratification, the Hcy of male abnormal GLU group was lower than that of normal GLU group (P = 0.035), and the Hcy of female abnormal GLU group was higher than that of normal GLU group (P < 0.001). In addition, Hcy of men with abnormal ALT was lower than that of normal ALT (P = 0.039), and Hcy of men with abnormal TBIL was higher than that of normal TBIL (P < 0.001); Hcy in overweight and obese women was higher than that in lean and normal BMI groups (P < 0.001), and Hcy in group with abnormal TC and HDL was higher than that in normal population (P < 0.001, 0.027).
Comparison of high and low Hcy indicators by gender
Among men, the age, SBP, DBP, Cr and UA of the high-Hcy group were higher than those of the low-Hcy group, P < 0.001. The GLU, between the high-Hcy group was lower than that of the low-Hcy group, P < 0.001; the γ-GT, TBIL and TG of the high-Hcy group were higher than those of the low-Hcy group (P = 0.023, < 0.001, 0.011).
Among women, the age, BMI, SBP, and DBP of the high-Hcy group were significantly higher than those of the low-Hcy group. The ALP of the high-Hcy group was higher than that of the low-Hcy group, P = 0.001. The TG of the high-Hcy group was significantly higher than that of the low-Hcy group, P = 0.003, while the HDL-C was lower than the low-Hcy group, P = 0.005; Both Cr and UA were significantly higher than the low-Hcy group, P < 0.001. See Table 3 for details.
Table 3
The characteristics of the population in the high and low Hcy groups are stratified by gender
Male | Female | |||||
|---|---|---|---|---|---|---|
Low Hcy (n = 4479) | High Hcy (n = 999) | P | Low Hcy (n = 2479) | High Hcy (n = 106) | P | |
Age (year-old), mean ± SD | 49.66 ± 11.16 | 51.37 ± 12.78 | < 0.001 | 52.42 ± 12.50 | 61.79 ± 11.25 | < 0.001 |
BMI (kg/m2), mean ± SD | 25.54 ± 3.21 | 25.55 ± 3.28 | 0.941 | 23.86 ± 3.40 | 25.14 ± 4.88 | < 0.001 |
SBP (mmHg), mean ± SD | 130.92 ± 16.97 | 134.05 ± 18.36 | < 0.001 | 128.04 ± 21.59 | 139.77 ± 21.00 | < 0.001 |
DBP (mmHg), mean ± SD | 80.90 ± 11.34 | 82.16 ± 11.96 | 0.002 | 73.27 ± 11.24 | 77.00 ± 12.03 | < 0.001 |
Pulse (bpm), mean ± SD | 76.71 ± 11.13 | 77.04 ± 11.41 | 0.395 | 79.27 ± 11.43 | 77.32 ± 11.00 | 0.085 |
ALT (U/L), M(P25–P75) | 26 (20–38) | 27 (19–38) | 0. 950 | 19 (15–26) | 20 (14–25) | 0.715 |
ALP (U/L), M(P25–P75) | 80 (68–95) | 82 (69–97) | 0.056 | 80 (64–97) | 86.5 (71–108) | 0.001 |
γ-GT (U/L), M(P25–P75) | 33 (23–52) | 34 (23–56) | 0.023 | 18 (14–27) | 20 (15–30) | 0.058 |
TBIL (μmol/L), M(P25–P75) | 14.3 (11.5–18) | 15.1 (12.1–18.8) | < 0.001 | 12 (9.6–15.1) | 12.6 (10.6–15. 5) | 0.059 |
GLU (mmol/L), M(P25–P75) | 5.3 (5–5.9) | 5.2 (4.9–5.7) | < 0.001 | 5.2 (4.9–5.6) | 5.3 (4.9–6.2) | 0.011 |
TC (mmol/L), M(P25–P75) | 5.1 (4.5–5.7) | 5.1 (4.5–5.8) | 0.652 | 5.2 (4.6–5.8) | 5.3 (4.6–5.9) | 0.395 |
TG (mmol/L), M(P25–P75) | 1.53 (1.03–2.29) | 1.6 (1.11–2.48) | 0.011 | 1.13 (0.8–1.66) | 1.36 (0.97–2) | 0.003 |
HDL-c (mmol/L), M(P25–P75) | 1.2 (1.04–1.4) | 1.2 (1.06–1.37) | 0.775 | 1.44 (1.24–1.67) | 1.37 (1.19–1.55) | 0.005 |
LDL-c (mmol/L), M(P25–P75) | 3.08 (2.57–3.6) | 3.06 (2.52–3.58) | 0.197 | 3.01 (2.51–3.53) | 2.99 (2.47–3.55) | 0.594 |
Urea (mmol/L), M(P25–P75) | 5.4 (4.6–6.2) | 5.4 (4.6–6.3) | 0.228 | 4.9 (4.1–5.8) | 5.3 (4.4–6.3) | 0.006 |
Cr (μmol/L), M(P25–P75) | 72 (65–79) | 75 (68–83) | < 0.001 | 53 (48–59) | 57.5 (52–66) | < 0.001 |
UA (μmol/L), M(P25–P75) | 361 (312–413) | 370 (324–429) | < 0.001 | 255 (218–301) | 290 (235–377) | < 0.001 |
Linear regression model analysis of the effect of serum Hcy level on blood lipid level
As shown in Table 4, the single factor linear regression model analysis results show that lnHcy is negatively correlated with lnHDL-c, and lnHcy is positively correlated with lnTG, lnALT, lnALP, lnγ-GT, lnTBIL, lnUrea, lnCr, and lnUA. The adjusted multivariate linear regression model analysis of gender, age, BMI, smoking and drinking showed that lnTG was positively correlated with lnHcy (β = 0.080, SE = 0.021, P < 0.001), and lnHDL-c was negatively correlated with lnHcy (β = − 0.021, SE = 0.008, P = 0.011), lnALT was negatively correlated with lnHcy (β = − 0.053, SE = 0.018, P = 0.003), and lnTBIL was positively correlated with lnHcy (β = 0.054, SE = 0.014, P < 0.001), lnCr was positively correlated with lnHcy (β = 0.065, SE = 0.006, P < 0.001), and lnUA was positively correlated with lnHcy (β = 0.069, SE = 0.009, P < 0.001). For the abnormal Hcy group (Hcy > 15 μmol/L), in univariate analysis, lnTC was negatively correlated with lnHcy (β = − 0.032, SE = 0.016, P = 0.046), and lnHDL-c was negatively correlated with lnHcy (β = − 0.060, SE = 0.017, P = 0.001), lnALP is positively correlated with lnHcy (β = 0.062, SE = 0.022, P = 0.004), and lnUrea is negatively correlated with lnHcy (β = − 0.045, SE = 0.021, P = 0.034), LnCr was positively correlated with lnHcy (β = 0.065, SE = 0.016, P < 0.001), and lnUA was positively correlated with lnHcy (β = 0.062, SE = 0.020, P = 0.002). In multivariate analysis, lnTC was negatively correlated with lnHcy (β = − 0.036, SE = 0.016, P = 0.027), lnHDL-C was negatively correlated with lnHcy (β = − 0.038, SE = 0.016, P = 0.019), lnALP It is positively correlated with lnHcy (β = 0.068, SE = 0.022, P = 0.002), lnCr is positively correlated with lnHcy (β = 0.055, SE = 0.016, P < 0.001), lnUA and lnHcy were positively correlated (β = 0.043, SE = 0.019, P = 0.022). See Table 4 for details.
Table 4
Analysis of linear regression model of serum Hcy on each index
Single factor analysis | Multiple-factor analysis | |||
|---|---|---|---|---|
β(SE) | P | β(SE) | P | |
LnTC | ||||
lnHcy | 0.005 (0.007) | 0.458 | 0.009 (0.007) | 0.216 |
Hcy (vs. Hcy ≤ 15 μmol/L) | − 0.032 (0.016) | 0.046 | − 0.036 (0.016) | 0.027 |
LnTG | ||||
lnHcy | 0.212 (0.022) | < 0.001 | 0.080 (0.021) | < 0.001 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.090 (0.049) | 0.068 | 0.047 (0.047) | 0.324 |
LnHDL-c | ||||
lnHcy | − 0.087 (0.009) | < 0.001 | − 0.021 (0.008) | 0.011 |
Hcy (vs. Hcy ≤ 15 μmol/L) | − 0.060 (0.017) | 0.001 | − 0.038 (0.016) | 0.019 |
LnLDL-c | ||||
lnHcy | − 0.004 (0.010) | 0.661 | − 0.014 (0.010) | 0.169 |
Hcy (vs. Hcy ≤ 15 μmol/L) | − 0.021 (0.023) | 0.365 | − 0.034 (0.023) | 0.140 |
LnALT | ||||
lnHcy | 0.079 (0.019) | < 0.001 | − 0.053 (0.018) | 0.003 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.037 (0.043) | 0.389 | − 0.020 (0.041) | 0.621 |
LnALP | ||||
lnHcy | 0.037 (0.010) | < 0.001 | 0.008 (0.011) | 0.401 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.062 (0.022) | 0.004 | 0.068 (0.022) | 0.002 |
Lnγ-GT | ||||
lnHcy | 0.206 (0.025) | < 0.001 | − 0.031 (0.023) | 0.168 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.072 (0.057) | 0.210 | 0.036 (0.054) | 0.503 |
LnTBIL | ||||
lnHcy | 0.122 (0.013) | < 0.001 | 0.054 (0.014) | < 0.001 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.014 (0.030) | 0.633 | 0.020 (0.030) | 0.506 |
LnUrea | ||||
lnHcy | 0.070 (0.009) | < 0.001 | 0.017 (0.009) | 0.058 |
Hcy (vs. Hcy ≤ 15 μmol/L) | − 0.045 (0.021) | 0.034 | − 0.030 (0.021) | 0.159 |
lnCr | ||||
lnHcy | 0.177 (0.008) | < 0.001 | 0.065 (0.006) | < 0.001 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.065 (0.016) | < 0.001 | 0.055 (0.016) | < 0.001 |
lnUA | ||||
lnHcy | 0.196 (0.010) | < 0.001 | 0.069 (0.009) | < 0.001 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.062 (0.020) | 0.002 | 0.043 (0.019) | 0.022 |
Logistic regression model analysis of serum Hcy on each index
The single factor logistic regression model showed that high lnHcy is the occurrence of high TG (OR 1.870, 95% CI 1.581–2.212, P < 0.001), low HDL-C (OR 1.803, 95% CI 1.404–2.316, P < 0.001), abnormal γ-GT (OR 1.270, 95% CI 1.028–1.569, P = 0.027), high TBIL (OR 2.456, 95% CI 1.741–3.464, P < 0.001), high UA (OR 3.106, 95% CI 2.439–3.956, P < 0.001) risk factors. High lnHcy is a protective factor for abnormal ALP (OR 0.692, 95% CI 0.531–0.900, P = 0.006) and abnormal Cr (OR 0.737, 95% CI 0.565–0.960, P = 0.023); multivariate logistic regression model analysis results show that high lnHcy is a risk factor for high TG (OR 1.281, 95% CI 1.078–1.523, P = 0.005), high UA (OR 2.008, 95% CI 1.565–2.575, P < 0.001) and abnormal TBIL (OR 1.707, 95% CI 1.205–2.418, P = 0.003). High lnHcy is a protective factor for abnormal Cr (OR 0.663, 95% CI 0.508–0.866, P = 0.003) and high LDL-c (OR 0.820, 95% CI 0.699–0.962, P = 0.015). For the abnormal Hcy group (Hcy > 15 μmol/L), single-factor logistic regression showed that high lnHcy is low HDL-C (OR 1.772, 95% CI 1.184–2.653, P = 0.005), abnormal ALP (OR 1.940, 95% CI 1.093–3.444, P = 0.024), high UA (OR 1.485, 95% CI 1.052–2.096, P = 0.024), abnormal Cr (OR 2.086, 95% CI 1.271–3.366, P = 0.003) risk factors; multivariate logistic regression analysis results show that high lnHcy is a risk factor for low HDL-C (OR 1.558, 95% CI 1.017–2.386, P = 0.042), abnormal ALP (OR 1.992, 95% CI 1.111–3.571, P = 0.021), high UA (OR 1.487, 95% CI 1.037–2.131, P = 0.031) and abnormal Cr (OR 2.241, 95% CI 1.364–3.681, P = 0.001). See Table 5 for details.
Table 5
Logistic regression model analysis of serum Hcy on each index
Single factor analysis | Multiple-factor analysis | |||
|---|---|---|---|---|
OR (95%CI) | P | OR (95%CI) | P | |
TG < 1.7 mmol/L | ||||
lnHcy | 1.870 (1.581–2.212) | < 0.001 | 1.281 (1.078–1.523) | 0.005 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.285 (0.928–1.780) | 0.131 | 1.116 (0.791–1.573) | 0.533 |
TC < 5.2 mmol/L | ||||
lnHcy | 1.054 (0.911–1.219) | 0.479 | 1.083 (0.929–1.263) | 0.307 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.795 (0.573–1.104) | 0.171 | 0.743 (0.531–1.041) | 0.084 |
HDL-C > 1.0 mmol/L | ||||
lnHcy | 1.803 (1.404–2.316) | < 0.001 | 1.065 (0.835–1.359) | 0.613 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.772 (1.184–2.653) | 0.005 | 1.558 (1.017–2.386) | 0.042 |
LDL-c < 3.4 mmol/L | ||||
lnHcy | 0.905 (0.776–1.055) | 0.201 | 0.820 (0.699–0.962) | 0.015 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.859 (0.603–1.225) | 0.401 | 0.819 (0.570–1.177) | 0.280 |
γ-GT (10–60 U/L (7–45 U/L)) | ||||
lnHcy | 1.270 (1.028–1.569) | 0.027 | 0.902 (0.729–1.116) | 0.343 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.186 (0.808–1.740) | 0.384 | 1.108 (0.744–1.649) | 0.615 |
ALT (9–50 U/L (7–40 U/L)) | ||||
lnHcy | 0.899 (0.720–1.123) | 0.348 | 0.791 (0.627–0.998) | 0.048 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.411 (0.880–2.260) | 0.153 | 1.175 (0.717–1.924) | 0.522 |
ALP (45–125 U/L (35–100 U/L)) | ||||
lnHcy | 0.692 (0.531–0.900) | 0.006 | 0.726 (0.550–0.958) | 0.024 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.940 (1.093–3.444) | 0.024 | 1.992 (1.111–3.571) | 0.021 |
TBIL ≤ 23 μmol/L | ||||
lnHcy | 2.456 (1.741–3.464) | < 0.001 | 1.707 (1.205–2.418) | 0.003 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.211 (0.736–1.993) | 0.452 | 1.241 (0.750–2.055) | 0.401 |
Urea (3.1–8.8 mmol/L) | ||||
lnHcy | 1.181 (0.767–1.817) | 0.450 | 1.046 (0.675–1.623) | 0.839 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 0.817 (0.367–1.818) | 0.620 | 0.963 (0.433–2.145) | 0.927 |
UA (UA ≤ 420 umol/L(UA ≤ 360umol/L)) | ||||
lnHcy | 3.106 (2.439–3.956) | < 0.001 | 2.008 (1.565–2.575) | < 0.001 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 1.485 (1.052–2.096) | 0.024 | 1.487 (1.037–2.131) | 0.031 |
Cr (57–97 μmoI/L (41–73 μmoI/L)) | ||||
lnHcy | 0.737 (0.565–0.960) | 0.023 | 0.663 (0.508–0.866) | 0.003 |
Hcy (vs. Hcy ≤ 15 μmol/L) | 2.068 (1.271–3.366) | 0.003 | 2.241 (1.364–3.681) | 0.001 |
Discussion
The baseline data collected in this study showed that the smoking and drinking proportion of men was higher. While BMI, SBP, DBP, GLU, Hcy, ALT, γ-GT, TBIL, TG, LDL-c, Urea, Cr, UA are higher and HDL-C are lower when men compared to women. This may be related to multiple factors such as genetics, lifestyle and eating habits. There is no significant difference in ALP between the two groups, which may be related to the older average age of the subjects we included. Folic acid, vitamin B12, estrogen, etc. in the human body can promote the metabolism of Hcy. Generally, the serum level of Hcy in women is lower than that in men [11‐14]. In this study, the average concentration of Hcy was 10.2 (8.3–12.8) μmol/L, and males were much higher than females. In addition, smoking can indirectly lead to the reduction or lack of folic acid and vitamin B12 levels in the blood and affect the decomposition and metabolism of Hcy [15]. This may also be the reason why the level of Hcy in men is higher than that in women.
From other studies it was found high Hcy related to renal damage [16]. In addition, high UA enhances oxidation and accelerates the production of oxygen free radicals through oxidative stress response, which is ultimately associated with the occurrence and development of cardiovascular and cerebrovascular diseases such as hypertension, coronary atherosclerosis, heart failure and stroke. Many researchers regard UA as an independent risk factor for coronary heart disease. Therefore, in this study, we evaluated Cr and UA as basic data and found that Cr and UA in the high-Hcy group were significantly higher than those in the low-Hcy group. Univariate and multivariate analysis of Hcy normal group and abnormal group showed that Hcy was positively correlated with Cr and UA. In the follow-up study, we will follow up the study subjects to further clarify the relationship between Hcy and kidney injury and other related diseases.
TC, TG, HDL-c, LDL-c are closely related to the occurrence and development of cardiovascular and cerebrovascular diseases. The results of this study showed that the Hcy of abnormal TG and HDL is higher than that of the normal blood lipid group, which is consistent with related literature reports [14, 17]. Some scholars have observed in animal experiments that Hcy injection causes hyperhcy hyperemia, and atherosclerosis occurs 2–3 months later. High levels of Hcy hyperemia was considered to be an independent risk factor for atherosclerosis. Studies have shown that elevated levels of mild and moderate Hcy can increase the risk of death from cardiovascular diseases by 4–6 times, and the risk of CHD increases by 60% in men and 80% in women for every 5 μmol/L of total plasma Hcy level.
Anzeige
High Hcy can damage blood vessel walls and affect lipid metabolism. In this study, both the univariate and multivariate linear regression model analysis results of Hcy in the normal group showed that Hcy was negatively correlated with HDL-c and positively correlated with TG; while in the high Hcy group, Hcy and HDL-c were still negatively correlated with TC. There is a negative correlation. The existing literature reports that high Hcy is negatively related to HDL-c, but the correlation between TC and TG is not consistent in the literature [17]. This may be related to the source of the research object, the geographical distribution, the degree of fasting before sample collection, the number of samples included in the study, and the factors used for correction in the multivariate analysis.
Hcy is a sulfur-containing amino acid produced during the metabolism of methionine in the body. Its main physiological function is to provide methyl groups for many important physiologically active substances such as DNA, protein and phospholipids in the body. Under normal circumstances, the production and metabolism of Hcy in the body maintain a dynamic balance [18], so that the concentration of Hcy is maintained at 5–15 μmol/L in the blood. There are many factors that affect the level of Hcy. In addition, under certain pathological conditions, taking drugs that interfere with metabolism can affect the metabolism of Hcy. The superoxide and peroxide produced can cause vascular endothelial cell damage and vascular smooth muscle cell proliferation. The structural damage of the wall and the increase of lipid deposits in the blood vessel wall accelerate the process of atherosclerosis. Hcy can also destroy the normal coagulation mechanism, increase the chance of thrombosis, and easily increase the risk of arteriosclerotic diseases such as stroke, coronary heart disease, and peripheral vascular disease. Studies have pointed out that for every 5 µmol/L increase in blood Hcy, the risk of ischemic heart disease increases by 32%, and every 3 µmol/L decrease in Hcy, the risk of disease is reduced by 16% [19]. A large number of studies have shown that hyperhomocystaenemia is closely related to the occurrence, development and prognosis of a variety of cardiovascular and cerebrovascular diseases, hypertension, diabetes, and kidney diseases [20‐22].
There are still some shortcomings in this study. For example, the fasting state of the study subjects may not be completely consistent, and the liver function is not judged in conjunction with imaging, so detailed evaluation was not performed.
Conclusion
This study shows that Hcy may participate in or affect the metabolism of HDL-c, Cr, UA, etc. The content of Hcy should be paid attention to in clinical work to provide data support for clinical monitoring of cardiovascular and cerebrovascular diseases and renal function.
Anzeige
Acknowledgements
The authors greatly appreciate Prof. Jing Xiao for assistant with statistical analysis.
Declarations
Ethics approval and consent to participate
This research protocol was approved and exemption from informed consent by the Ethics Committee of Nantong University Affiliated Hospital.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Anzeige
Open AccessThis 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.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.