外周血淋巴细胞亚群与颈动脉粥样硬化发生的关联性分析

doi:10.13481/j.1671-587X.20240525

Abstract

Abstract:

Objective： To analyze the association between the peripheral blood lymphocyte subsets and the occurrence of carotid atherosclerosis （CAS） and discuss the risk factors of CAS， and to provide the basis for risk prediction and early intervention of CAS. Methods A total of 419 subjects were selected according to the inclusion and exclusion criteria.All the subjects underwent carotid ultrasonography， and the detection of T lymphocyte， B lymphocyte， and natural killer（NK） cell subsets were performed. According to the carotid artery intima-media thickness（IMT）， the subjects were divided into normal carotid artery group （n=166） and CAS group （n=253）. The basic data and laboratory inspection indexes of the subjects in two groups were collected， including age， gender， blood pressure， medical history， smoking history， medication history， blood lipids， and percentages of T lymphocyte， B lymphocyte， and NK cell subsets. The risk factors for the occurrence of CAS of the subjects were analyzed using Logistic regression analysis. Results The univariate analysis results showed that compared with normal carotid artery group， the age， morbidity rate of hypertension， morbidity rate of diabetes， and smoking rate of the subjects in CAS group were increased （P<0.05）， and the percentages of CD4+ T lymphocytes， CD4+ T lymphocyte count， CD4+/CD8+ ratio， CD16+CD56+NK cell count， and low-density lipoprotein cholesterol （LDL-c） level in peripheral blood were increased （P<0.05）， while the percentage of CD8+T lymphocyte was decreased （P<0.05）. The multivariable Logistic regression analysis results showed that age （OR=1.112，95%CI：1.083－1.142， P<0.001）， smoking （OR=1.997，95%CI：1.192－3.346， P=0.009），LDL-c （OR=1.427， 95%CI：1.017－2.001， P=0.039）， and percentage of CD4+T lymphocyte（OR=1.044，95%CI：1.002－1.087，P=0.039） were the independent risk factors for the occurrence of CAS. Conclusion The percentage of CD4+ T lymphocyte is associated with the occurrence of CAS and it is a predictive risk factor for CAS.

Key words: Atherosclerosis, Carotid atherosclerosis, Risk factor, Natural killer cell, Low density lipoprotein cholesterol

CLC Number:

R543.4

Jiayuan YU,Di ZHAO,Xin JIANG,Jing XU,Lili JIANG,Hongyu JIANG. Association analysis on peripheral blood lymphocyte subsets and occurrence of carotid atherosclerosis[J].Journal of Jilin University(Medicine Edition), 2024, 50(5): 1400-1405.

Figures/Tables 4

Tab.1

Tab.2

Tab. 3

Tab.4

References 25

1	WOLF D， LEY K. Immunity and inflammation in atherosclerosis［J］. Circ Res， 2019， 124（2）： 315-327.
2	FORGO B， MEDDA E， HERNYES A， et al. Carotid artery atherosclerosis： a review on heritability and genetics［J］.Twin Res Hum Genet，2018，21（5）：333-346.
3	THEODOROU E， NEZOS A， ANTYPA E， et al. B-cell activating factor and related genetic variants in lupus related atherosclerosis［J］.J Autoimmun，2018，92：87-92.
4	ROHM I， ATISKOVA Y， DROBNIK S，et al.Decreased regulatory T cells in vulnerable atherosclerotic lesions： imbalance between pro- and anti-inflammatory cells in atherosclerosis［J］.Mediators Inflamm，2015，2015：364710.
5	YANG W L， LIN J B， ZHOU J， et al. Innate lymphoid cells and myocardial infarction［J］. Front Immunol， 2021， 12： 758272.
6	SAIGUSA R， WINKELS H， LEY K. T cell subsets and functions in atherosclerosis［J］. Nat Rev Cardiol， 2020， 17（7）： 387-401.
7	国家卫生健康委员会脑卒中防治专家委员会血管超声专业委员会，中国超声医学工程学会浅表器官及外周血管超声专业委员会，中国超声医学工程学会颅脑及颈部血管超声专业委员会. 头颈部血管超声若干问题的专家共识（颈动脉部分）［J］. 中国脑血管病杂志， 2020， 17（6）： 346-352.
8	GLOBAL CARDIOVASCULAR RISK CONSORTIUM， MAGNUSSEN C， OJEDA F M，et al.Global effect of modifiable risk factors on cardiovascular disease and mortality［J］. N Engl J Med， 2023， 389（14）： 1273-1285.
9	SONG P G， FANG Z， WANG H Y， et al. Global and regional prevalence， burden， and risk factors for carotid atherosclerosis： a systematic review， meta-analysis， and modelling study［J］. Lancet Glob Health， 2020， 8（5）： e721-e729.
10	KOTFIS K， BIERNAWSKA J， ZEGAN-BARAŃSKA M，et al.Peripheral blood lymphocyte subsets （CD4⁺， CD8⁺ T cells， NK cells） in patients with cardiovascular and neurological complications after carotid endarterectomy［J］. Int J Mol Sci， 2015， 16（5）： 10077-10094.
11	LEE S， BARTLETT B， DWIVEDI G. Adaptive immune responses in human atherosclerosis［J］. Int J Mol Sci， 2020， 21（23）： 9322.
12	WANG X T， ZHOU H， LIU Q， et al. Targeting regulatory T cells for cardiovascular diseases［J］. Front Immunol， 2023， 14： 1126761.
13	SCHWARTZ D M， BURMA A M， KITAKULE M M， et al. T cells in autoimmunity-associated cardiovascular diseases［J］. Front Immunol， 2020， 11： 588776.
14	KIMURA T， KOBIYAMA K， WINKELS H， et al. Regulatory CD4⁺ T cells recognize major histocompatibility complex class Ⅱ molecule-restricted peptide epitopes of apolipoprotein B［J］. Circulation， 2018， 138（11）： 1130-1143.
15	LIN Z W， QIAN S， GONG Y， et al. Deep sequencing of the T cell receptor β repertoire reveals signature patterns and clonal drift in atherosclerotic plaques and patients［J］. Oncotarget， 2017， 8（59）： 99312-99322.
16	LEY K. Role of the adaptive immune system in atherosclerosis［J］. Biochem Soc Trans， 2020， 48（5）： 2273-2281.
17	HE X， LIANG B， GU N. Th17/treg imbalance and atherosclerosis［J］. Dis Markers， 2020， 2020： 8821029.
18	SCHÄFER S， ZERNECKE A. CD8⁺ T cells in atherosclerosis［J］. Cells， 2020， 10（1）： 37.
19	VAN DUIJN J， KRITIKOU E， BENNE N， et al. CD8⁺ T-cells contribute to lesion stabilization in advanced atherosclerosis by limiting macrophage content and CD4⁺ T-cell responses［J］. Cardiovasc Res， 2019， 115（4）： 729-738.
20	VAN DIJK R A， DUINISVELD A J， SCHAAPHERDER A F， et al. A change in inflammatory footprint precedes plaque instability： a systematic evaluation of cellular aspects of the adaptive immune response in human atherosclerosis［J］. J Am Heart Assoc， 2015， 4（4）： e001403.
21	GAO P， RONG H H， LU T， et al. The CD4/CD8 ratio is associated with coronary artery disease （CAD） in elderly Chinese patients［J］. Int Immunopharmacol， 2017， 42： 39-43.
22	WANG L， GAO B B， WU M Y， et al. Profiles of immune cell infiltration in carotid artery atherosclerosis based on gene expression data［J］. Front Immunol， 2021， 12： 599512.
23	MA S D， MUSSBACHER M， GALKINA E V. Functional role of B cells in atherosclerosis［J］. Cells， 2021， 10（2）： 270.
24	KYAW T， TIPPING P， TOH B H， et al. Killer cells in atherosclerosis［J］.Eur J Pharmacol，2017，816： 67-75.
25	DUNI A， VARTHOLOMATOS G， BALAFA O，et al. The association of circulating CD14⁺+CD16⁺ monocytes，natural killer cells and regulatory T cells subpopulations with phenotypes of cardiovascular disease in a cohort of peritoneal dialysis patients［J］. Front Med， 2021， 8： 724316.

Group	n	Male[n（η/%）]	Age（year）	Hypertension[n（η/%）]	Diabetes[n（η/%）]	Smoking[n（η/%）]
Normal carotid artery	166	92（55.4）	47.84±10.08	49（29.5）	25（15.1）	41（24.7）
CAS	253	152（60.1）	58.72±9.57	109（43.1）	75（29.6）	103（40.7）
χ²/t		0.894	－11.139	7.852	11.733	11.394
P		0.344	<0.001	0.005	0.001	0.001

Group	n	TC [c_B/（mmol·L^－1）]	TG [c_B/（mmol·L^－1）]		HDL-c [c_B/（mmol·L^－1）]		LDL-c [c_B/（mmol·L^－1）]
Normal carotid artery	166	5.25±0.95	1.45(1.04,2.27)		1.22(1.07,1.48)		3.20(2.76,3.54)
CAS	253	5.45±1.15	1.67(1.14,2.43)		1.24(1.09,1.44)		3.25(2.82,3.89)
Z/t		－1.893	－1.858		－0.012		－2.726
P		0.059	0.063		0.990		0.006
Group	n	CD3+T lymphocyte percentage（η/%）	CD3+T cell count （cells·μL^－1）		CD4+T lymphocyte percentage（η/%）		CD4+T cell count （cells·μL^－1）
Normal carotid artery	166	69.15(63.95,75.10)	1 178.00(1 012.75,1 542.00)		37.26±7.44		631.50(510.25,805.75)
CAS	253	67.80(61.50,73.65)	1 235.00(977.50,1 560.50)		39.11±7.68		738.00(546.50,924.00)
Z/t		－1.542	－0.602		－2.446		－2.281
P		0.123	0.547		0.015		0.023
Group	n	CD8+T lymphocyte percentage（η/%）	CD8+T cell count （cells·μL^－1）		CD4+/CD8+ratio		CD19+B lymphocyte percentage（η/%）
Normal carotid artery	166	25.10(20.75,31.10)	450.00(339.00,575.50)		1.43(1.15,1.90)		11.75(9.48,15.00)
CAS	253	23.60(18.55,28.85)	429.00(314.50,555.50)		1.67(1.27,2.33)		12.00(9.05,15.20)
Z/t		－2.786	－1.066		－3.430		－0.127
P		0.005	0.286		0.001		0.899
Group	n	CD19+B cell count （cells·μL^－1）		CD16+CD56+NK cell percentage（η/%）		CD16+CD56+NK cell count（cells·μL^－1）
Normal carotid artery	166	210.50(152.75,285.50)		16.20(12.00,21.65)		273.00(195.75,406.00)
CAS	253	211.00(161.00,304.50)		17.40(12.40,23.15)		314.00(220.00,451.50)
Z/t		－0.576		－1.229		－2.002
P		0.565		0.219		0.045

Variable	Assignment
Dependent variable	0 = Normal carotid artery group 1 = CAS group
Independent variable
Hypertension	0 = No；1 = Yes
Diabetes	0 = No；1 = Yes
Smoking	0 = No；1 = Yes
Age	Continuous variable
LDL-c	Continuous variable
CD4+T lymphocyte percentage	Continuous variable
CD8+T lymphocyte percentage	Continuous variable
CD16+CD56+NK cell count	Continuous variable

Risk factor	B	SE	χ²	OR	95%CI		P
Risk factor	B	SE	χ²	OR	Lower limit	Upper limit	P
Age	0.106	0.014	61.433	1.112	1.083	1.142	<0.001
LDL-c	0.355	0.173	4.240	1.427	1.017	2.001	0.039
Hypertension	0.073	0.257	0.081	1.076	0.650	1.782	0.775
Diabetes	0.313	0.297	1.107	1.367	0.763	2.449	0.293
Smoking	0.692	0.263	6.907	1.997	1.192	3.346	0.009
CD4+T lymphocyte percentage	0.043	0.021	4.274	1.044	1.002	1.087	0.039
CD8+T lymphocyte percentage	0.002	0.018	0.008	1.002	0.966	1.039	0.929
CD16+CD56+NK cell count	0.001	0.001	2.873	1.001	1.000	1.003	0.090

[1]	Honghong LI,Na YU,Minghao SHI,Ying SUN,Yao LI,Zhongjun SHEN,Xiaoyi LIU,Liyan ZHAO. Predictive value of new thrombotic risk assessment model for venous thromboembolism in patients with malignant tumors [J]. Journal of Jilin University(Medicine Edition), 2024, 50(5): 1390-1399.
[2]	Xiaoyu WANG,Bing LI,Guohui LIU. Research progress in application of inflammatory markers in diagnosis and treatment of coronary heart disease [J]. Journal of Jilin University(Medicine Edition), 2024, 50(4): 1173-1181.
[3]	Shan CAO,Yijia ZHANG,Yang BAI,Fang CHEN,Sha XIE,Qianqian HAN. Network pharmacological analysis and in vitro experimental verification based on anti-atherosclerosis mechanism of Xiaoban Tongmai Formula [J]. Journal of Jilin University(Medicine Edition), 2024, 50(4): 925-938.
[4]	Peng QI,Xianying MENG,Meihua PIAO,Qiang ZHANG. Network Meta-analysis on risk factors of recurrence of papillary thyroid microcarcinoma [J]. Journal of Jilin University(Medicine Edition), 2023, 49(6): 1504-1512.
[5]	Xiunan FENG,Lu CHEN,Yu LONG,Zhenyu JIANG,Ling ZHAO. Analysis on clinical characteristics and risk factors of patients with Sjogren’s syndrome complicated with interstitial lung disease [J]. Journal of Jilin University(Medicine Edition), 2023, 49(6): 1513-1518.
[6]	Xue DONG, Jinfeng ZANG, Caifeng XU, Hebing LIU, Zhaohua CHENG. Construction and validation of risk prediction model of enteral nutrition feeding intolerance of patients with severe acute pancreatitis [J]. Journal of Jilin University(Medicine Edition), 2023, 49(6): 1586-1592.
[7]	Tong SHEN,Yang WANG,Wei JIN,Zhihui LIN,Li YAN. Risk factors analysis and risk model construction of cognitive frailty in elderly patients with chronic diseases [J]. Journal of Jilin University(Medicine Edition), 2023, 49(5): 1304-1309.
[8]	Haitao LI, Qin LI, Fei CAI, Guofu HU, Yunfei TENG. Effect of apigenin on polarization and inflammation of mouse RAW264.7 macrophages and its mechanism [J]. Journal of Jilin University(Medicine Edition), 2023, 49(3): 549-556.
[9]	Mingfei JU,Chao LIU,Zhigang MA,Juan ZHAO,Tu WANG,Zhihao WANG. Predictive value of residual cholesterol in occurrence of patients with acute coronary syndrome [J]. Journal of Jilin University(Medicine Edition), 2023, 49(3): 765-769.
[10]	Lianyuan WANG,Yi YANG,Huiwen CONG,Haohua WANG,Qihan BAO,Chengsheng LI,Liwen ZHOU,Zichen DING,Yanli LI,Fuyan SHI,Suzhen WANG. Bayesian quantile regression joint model analysis on risk factors of Alzheimer’s disease in people with different MMSE scores [J]. Journal of Jilin University(Medicine Edition), 2023, 49(2): 395-401.
[11]	Shuhua YU,Wei LIU,Qianqian WU,Dongwei YANG. Effect of crocetin on vascular endothelial dysfunction and atherosclerosis in spontaneously hypertensive rats and its ROCK/JNK signaling pathway mechanism [J]. Journal of Jilin University(Medicine Edition), 2022, 48(6): 1481-1489.
[12]	Yifan ZHANG,Jie DING,Min DU,Xiaoteng FENG,Ping LIU. Effects of salvianolic acid B on atherosclerosis and efferocytosis of macrophages of mice and their mechanisms [J]. Journal of Jilin University(Medicine Edition), 2022, 48(3): 561-567.
[13]	Shan GAO,Yutong WANG,Minqiu LU,Lei SHI,Bin CHU,Yuehua DING,Mengzhen WANG,Li BAO. Analysis on causes for early death and its risk factors of patients with multiple myeloma in era of novel drugs [J]. Journal of Jilin University(Medicine Edition), 2022, 48(3): 783-789.
[14]	SHI Guanghuan, ZHOU Shiping, XU Dongsheng, WANG Xiu. Killing effect of amplified NK cells on gastric cancer cells and its mechanism [J]. Journal of Jilin University(Medicine Edition), 2020, 46(03): 530-535.
[15]	WANG Tu, SUN Xiaoxu, CHEN Long, CUI Haipeng, LIU Kai, XIE Yaqin, LI Ying, ZHAO Juan. Effect of Urantide on expression of c-Jun N-terminal kinase in thoracic aorta tissue of rats with atherosclerosis and its significance [J]. Journal of Jilin University(Medicine Edition), 2019, 45(04): 813-818.

Association analysis on peripheral blood lymphocyte subsets and occurrence of carotid atherosclerosis

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 25

Related Articles 15

Metrics

Comments

Recommended 0