Journal of Shanghai Jiao Tong University (Medical Science) ›› 2023, Vol. 43 ›› Issue (1): 29-35.doi: 10.3969/j.issn.1674-8115.2023.01.004
• Clinical research • Previous Articles Next Articles
JIANG Wenqun1,2(), HOU Pinpin3(
), CHEN Yan4, JIA Feng1, ZHANG Xiaohua1, GAO Li5(
), HU Qin1(
)
Received:
2022-07-06
Accepted:
2022-09-26
Online:
2022-10-20
Published:
2022-10-20
Contact:
GAO Li,HU Qin
E-mail:jiangwenqun623@126.com;houpinpin8820@ 163.com;gaoli246619@126.com;huqinle20010709@126.com
Supported by:
CLC Number:
JIANG Wenqun, HOU Pinpin, CHEN Yan, JIA Feng, ZHANG Xiaohua, GAO Li, HU Qin. Characteristics and clinical significance of serum renalase in patients with acute ischemic stroke[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 29-35.
AIS group (n=118) | Control group (n=133) | t/χ2/Z value | P value | |
---|---|---|---|---|
Male/n (%) | 87 (73.7) | 93 (70.0) | 0.446 | 0.504 |
Age/year | 66 (58, 70) | 64 (53, 69) | -1.839 | 0.066 |
TC/(mmol·L-1) | 4.74±1.08 | 4.96±1.06 | 1.644 | 0.102 |
LDL/(mmol·L-1) | 3.06±0.86 | 3.13±0.67 | 0.636 | 0.526 |
FPG/(mmol·L-1) | 6.20 (5.27, 8.17) | 5.24 (4.75, 5.91) | -5.250 | 0.000 |
Hypertension/n (%) | 79 (67.0) | 28 (21.1) | 53.854 | 0.000 |
CHD/n (%) | 10 (8.5) | 1 (0.8) | 8.899 | 0.003 |
Diabetes/n (%) | 34 (28.8) | 12 (9.0) | 16.362 | 0.000 |
Tab 1 Baseline data of the two groups
AIS group (n=118) | Control group (n=133) | t/χ2/Z value | P value | |
---|---|---|---|---|
Male/n (%) | 87 (73.7) | 93 (70.0) | 0.446 | 0.504 |
Age/year | 66 (58, 70) | 64 (53, 69) | -1.839 | 0.066 |
TC/(mmol·L-1) | 4.74±1.08 | 4.96±1.06 | 1.644 | 0.102 |
LDL/(mmol·L-1) | 3.06±0.86 | 3.13±0.67 | 0.636 | 0.526 |
FPG/(mmol·L-1) | 6.20 (5.27, 8.17) | 5.24 (4.75, 5.91) | -5.250 | 0.000 |
Hypertension/n (%) | 79 (67.0) | 28 (21.1) | 53.854 | 0.000 |
CHD/n (%) | 10 (8.5) | 1 (0.8) | 8.899 | 0.003 |
Diabetes/n (%) | 34 (28.8) | 12 (9.0) | 16.362 | 0.000 |
Item | Serum renalase level | |
---|---|---|
r value | P value | |
Gender | 0.049 | 0.601 |
Age | 0.078 | 0.399 |
Hypertension | 0.103 | 0.266 |
Diabetes | 0.066 | 0.480 |
-0.060 | 0.520 | |
FPG | 0.200 | 0.030 |
LDL | 0.024 | 0.800 |
TC | 0.039 | 0.672 |
NIHSS score | -0.216 | 0.019 |
Tab 2 Correlation analysis of serum renalase levels with baseline data and NIHSS score in the AIS group (n=118)
Item | Serum renalase level | |
---|---|---|
r value | P value | |
Gender | 0.049 | 0.601 |
Age | 0.078 | 0.399 |
Hypertension | 0.103 | 0.266 |
Diabetes | 0.066 | 0.480 |
-0.060 | 0.520 | |
FPG | 0.200 | 0.030 |
LDL | 0.024 | 0.800 |
TC | 0.039 | 0.672 |
NIHSS score | -0.216 | 0.019 |
Item | Univariate Logistic regression analysis | Multivariate Logistic regression analysis | ||
---|---|---|---|---|
OR (95%CI) | P value | OR (95%CI) | P value | |
Age/year | ||||
≤40 | 1.000 | ‒ | ‒ | ‒ |
41‒50 | 1.750 (0.482, 6.351) | 0.395 | ‒ | ‒ |
51‒60 | 1.789 (0.596, 5.373) | 0.300 | ‒ | ‒ |
61‒70 | 2.619 (0.934, 7.343) | 0.067 | ‒ | ‒ |
71‒80 | 1.826 (0.585, 5.698) | 0.300 | ‒ | ‒ |
≥81 | 3.267 (0.733, 14.551) | 0.120 | ‒ | ‒ |
Gender | ||||
Female | 1.000 | ‒ | ‒ | ‒ |
Male | 1.207 (0.695, 2.098) | 0.504 | ‒ | ‒ |
Hypertension | 7.596 (4.311, 13.385) | 0.000 | 5.382 (2.825, 10.251) | 0.000 |
Diabetes | 4.081 (1.997, 8.339) | 0.000 | 2.453 (1.041, 5.782) | 0.040 |
CHD | 12.222 (1.540, 96.985) | 0.018 | 4.901 (0.563, 42.651) | 0.150 |
High level renalase(>1 856.49 pg·mL-1) | 8.504 (4.807, 15.045) | 0.000 | 6.980 (3.707, 13.141) | 0.000 |
Tab 3 Logistic regression analysis of influencing factors of AIS occurence
Item | Univariate Logistic regression analysis | Multivariate Logistic regression analysis | ||
---|---|---|---|---|
OR (95%CI) | P value | OR (95%CI) | P value | |
Age/year | ||||
≤40 | 1.000 | ‒ | ‒ | ‒ |
41‒50 | 1.750 (0.482, 6.351) | 0.395 | ‒ | ‒ |
51‒60 | 1.789 (0.596, 5.373) | 0.300 | ‒ | ‒ |
61‒70 | 2.619 (0.934, 7.343) | 0.067 | ‒ | ‒ |
71‒80 | 1.826 (0.585, 5.698) | 0.300 | ‒ | ‒ |
≥81 | 3.267 (0.733, 14.551) | 0.120 | ‒ | ‒ |
Gender | ||||
Female | 1.000 | ‒ | ‒ | ‒ |
Male | 1.207 (0.695, 2.098) | 0.504 | ‒ | ‒ |
Hypertension | 7.596 (4.311, 13.385) | 0.000 | 5.382 (2.825, 10.251) | 0.000 |
Diabetes | 4.081 (1.997, 8.339) | 0.000 | 2.453 (1.041, 5.782) | 0.040 |
CHD | 12.222 (1.540, 96.985) | 0.018 | 4.901 (0.563, 42.651) | 0.150 |
High level renalase(>1 856.49 pg·mL-1) | 8.504 (4.807, 15.045) | 0.000 | 6.980 (3.707, 13.141) | 0.000 |
1 | GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990‒2016: a systematic analysis for the Global Burden of Disease Study 2016[J]. Lancet Neurol, 2019, 18(5): 459-480. |
2 | KAMTCHUM-TATUENE J, JICKLING G C. Blood biomarkers for stroke diagnosis and management[J]. Neuromolecular Med, 2019, 21(4): 344-368. |
3 | XU J C, LI G Y, WANG P L, et al. Renalase is a novel, soluble monoamine oxidase that regulates cardiac function and blood pressure[J]. J Clin Invest, 2005, 115(5): 1275-1280. |
4 | FEDCHENKO V, GLOBA A, BUNEEVA O, et al. Renalase mRNA levels in the brain, heart, and kidneys of spontaneously hypertensive rats with moderate and high hypertension[J]. Med Sci Monit Basic Res, 2013, 19: 267-270. |
5 | MORAN G R, HOAG M R. The enzyme: renalase[J]. Arch Biochem Biophys, 2017, 632: 66-76. |
6 | SEVERINA I S, FEDCHENKO V I, VESELOVSKY A V, et al. The history of renalase from amine oxidase to a a-NAD(P)H-oxidase/anomerase[J]. Biomed Khim, 2015, 61(6): 667-679. |
7 | WANG Y, SAFIRSTEIN R, VELAZQUEZ H, et al. Extracellular renalase protects cells and organs by outside-in signalling[J]. J Cell Mol Med, 2017, 21(7): 1260-1265. |
8 | LI Y, WU W D, LIU W H, et al. Roles and mechanisms of renalase in cardiovascular disease: a promising therapeutic target[J]. Biomed Pharmacother, 2020, 131: 110712. |
9 | ZHANG R Y, LI X Y, LIU N N, et al. An association study on renalase polymorphisms and ischemic stroke in a Chinese population[J]. Neuromolecular Med, 2013, 15(2): 396-404. |
10 | LI X Y, WANG Z Z, LIU Y, et al. Association of imaging classification of intracranial cerebral atherosclerotic vascular stenosis in ischemic stroke and renalase gene polymorphisms[J]. J Mol Neurosci, 2014, 52(4): 461-466. |
11 | RAMROODI N, KHORRAMI A, HASHEMI S M, et al. The effect of renalase rs2576178 and rs10887800 polymorphisms on ischemic stroke susceptibility in young patients (<50 years): a case-control study and in silico analysis[J]. Dis Markers, 2021, 2021: 5542292. |
12 | 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性脑卒中诊治指南2018[J]. 中华神经科杂志, 2018, 51(9): 666-682. |
Chinese Society of Neurology, Chinese Stroke Society. Chinese guidelines for the diagnosis and treatment of acute ischemic stroke 2018[J]. Chinese Journal of Neurology, 2018, 51(9): 666-682. | |
13 | MENDELSON S J, PRABHAKARAN S. Diagnosis and management of transient ischemic attack and acute ischemic stroke: a review[J]. JAMA, 2021, 325(11): 1088-1098. |
14 | SAFDAR B, GUO X J, JOHNSON C, et al. Elevated renalase levels in patients with acute coronary microvascular dysfunction: a possible biomarker for ischemia[J]. Int J Cardiol, 2019, 279: 155-161. |
15 | LEE H T, KIM J Y, KIM M, et al. Renalase protects against ischemic AKI[J]. J Am Soc Nephrol, 2013, 24(3): 445-455. |
16 | GUO X J, XU L Y, VELAZQUEZ H, et al. Kidney-targeted renalase agonist prevents cisplatin-induced chronic kidney disease by inhibiting regulated necrosis and inflammation[J]. J Am Soc Nephrol, 2022, 33(2): 342-356. |
17 | BARAKA A, EL GHOTNY S. Cardioprotective effect of renalase in 5/6 nephrectomized rats[J]. J Cardiovasc Pharmacol Ther, 2012, 17(4): 412-416. |
18 | WANG F, CAI H Y, ZHAO Q, et al. Epinephrine evokes renalase secretion via α‑adrenoceptor/NF‑κB pathways in renal proximal tubular epithelial cells[J]. Kidney Blood Press Res, 2014, 39(4): 252-259. |
19 | DESIR G V, WANG L, PEIXOTO A J. Human renalase: a review of its biology, function, and implications for hypertension[J]. J Am Soc Hypertens, 2012, 6(6): 417-426. |
20 | AOKI K, YANAZAWA K, TOKINOYA K, et al. Renalase is localized to the small intestine crypt and expressed upon the activation of NF-κB p65 in mice model of fasting-induced oxidative stress[J]. Life Sci, 2021, 267: 118904. |
21 | MELOUX A, RIGAL E, ROCHETTE L, et al. Ischemic stroke increases heart vulnerability to ischemia-reperfusion and alters myocardial cardioprotective pathways[J]. Stroke, 2018, 49(11): 2752-2760. |
22 | WANG F, LI J H, XING T, et al. Serum renalase is related to catecholamine levels and renal function[J]. Clin Exp Nephrol, 2015, 19(1): 92-98. |
23 | DESIR G V, TANG L Q, WANG P L, et al. Renalase lowers ambulatory blood pressure by metabolizing circulating adrenaline[J]. J Am Heart Assoc, 2012, 1(4): e002634. |
24 | STOJANOVIC D, MITIC V, STOJANOVIC M, et al. The partnership between renalase and ejection fraction as a risk factor for increased cardiac remodeling biomarkers in chronic heart failure patients[J]. Curr Med Res Opin, 2020, 36(6): 909-919. |
25 | SCHLAICH M P, LAMBERT G W, EIKELIS N. Renalase: a potential biomarker for risk of atrial fibrillation?[J]. Kardiol Pol, 2018, 76(8): 1201-1202. |
26 | HE B H, HAO J J, SHENG W W, et al. Correlation between plasma renalase level and coronary artery disease[J]. Pak J Med Sci, 2014, 30(5): 863-967. |
27 | LIBRUDER C, RAM A, HERSHKOVITZ Y, et al. The contribution of potentially modifiable risk factors to acute ischemic stroke burden: comparing young and older adults[J]. Prev Med, 2022, 155: 106933. |
28 | BURACZYNSKA M, ZUKOWSKI P, BURACZYNSKA K, et al. Renalase gene polymorphisms in patients with type 2 diabetes, hypertension and stroke[J]. Neuromolecular Med, 2011, 13(4): 321-327. |
29 | BURACZYNSKA M, GWIAZDA-TYNDEL K, DROP B, et al. Renalase gene Glu37Asp polymorphism affects susceptibility to diabetic retinopathy in type 2 diabetes mellitus[J]. Acta Diabetol, 2021, 58(12): 1595-1602. |
30 | CZUBILIŃSKA-ŁADA J, GLIWIŃSKA A, BADEŃSKI A, et al. Associations between renalase concentration and the occurrence of selected diseases[J]. Endokrynol Pol, 2020, 71(4): 334-342. |
[1] | WEI Xuemin, GAO Chengjin. Research progress of clinical application of ASPECT score in acute ischemic stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(7): 919-924. |
[2] | CHEN Yiting, ZHAO Anda, LI Rong, KANG Wenhui, LI Shenghui. Review of the role of circulating exosomal microRNA in bronchial asthma [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 375-380. |
[3] | Lei XIONG, Qian YI, Ming-fang XU, Jian CHEN. Expression and prognosis analysis of MRPL12 in lung adenocarcinoma [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(8): 1033-1040. |
[4] | Xu-xin-yi LING, Yao ZHANG, Hua ZHONG. Research progress in screening non-small cell lung cancer patients who will benefit from immunotherapy [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(8): 1114-1119. |
[5] | Yu-huan WANG, Yi-cen DING, Yao-yu CAI, Ya-ni KANG. Study on differentially expressed microRNA as a biomarker of polycystic ovary syndrome [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(11): 1429-1435. |
[6] | Xiu-ying LIU, Rui-fang LAN. Correlation between quantitative electroencephalogram features and CT perfusion imaging parameters in acute ischemic stroke [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(1): 62-65. |
[7] | LIU Yi-sheng1, ZHAN Yan-li2, PAN Hui1, YIN Jia-wen1, HU Yue1, CAI Xue-li2#, LIU Jian-ren1#. Comparison of outcomes after thrombectomy in patients with embolic stroke of undetermined source and cardiogenic stroke [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(9): 1270-1276. |
[8] | ZHU Lin, LIU Jun. Progress in biomarkers of multiple system atrophy [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(9): 1302-1307. |
[9] | MA Yi-fei, LI Yu-feng, GUO Gui-mei, ZHU Ya-ju, GONG Ying-liang, DONG Yu. Changes of new urinary biomarkers in children with Henoch-Schonlein purpura nephritis [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(6): 841-846. |
[10] | WANG Xiao-xia1, XU Tian-xiang2, LÜ Tang-feng3, XU Wu-jian3, LIU Jian-bo1, SONG Yong3. Clinical significance of geranylgeranyl diphosphate synthase expression levels in patients with acute respiratory distress syndrome [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(5): 639-645. |
[11] | CHEN Si, LIU Chun-liang, ZHAO Qian, SUN Hai-peng, LIU Yun-xia. Identification of hub genes and key pathways in breast cancersurvival-based bioinformatics analysis [J]. , 2020, 40(3): 294-. |
[12] | TANG Dong-juan, XUE Xiao-mei, HE Bin. Early diagnosis and prognostic evaluation value of miR-133a in patients with acute myocardial infarction [J]. , 2020, 40(3): 339-. |
[13] | ZHANG Wei-ran1, 2, LIN Xue-feng3, LI Xin2, ZHANG Hao2, WANG Meng2, SUN Wei2, HAN Xing-peng2, SUN Da-qiang1, 4. Transcriptional identification of potential biomarkers of lung adenocarcinoma [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(12): 1598-1606. |
[14] | KUANG Jun-liang, ZHENG Xiao-jiao, ZHAO Ai-hua, JIA Wei. Alterations in bile acid levels in metabolic diseases and related treatment strategies [J]. , 2019, 39(6): 678-. |
[15] | TAO Yi-jing1*, XIA Zhi-li1*, GAO Cheng-jie2, GAO Ya-jie1, WU Hao3, WAN Qing1, LI Yong-guang1, LU Zhi-gang1, SHEN Cheng-xing1, PAN Jing-wei1. Analysis of biomarkers for predicting left ventricular remodeling after successful revascularization of acute myocardial infarction [J]. , 2019, 39(1): 60-. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 628
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 462
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||