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HERALD OF MEDICINE, 2018, 37(4): 456-460
doi: 10.3870/j.issn.1004-0781.2018.04.012
他克莫司治疗风湿免疫病患者血液系统异常57例
Effect of Tacrolimus in the Treatment of Rheumatic Immune Disease Patients with Abnormal Blood System of 57 Cases
马祝悦1,2,, 姚瑶2, 朱怀军2, 束庆2, 王红1,3, 方芸1,2,

摘要:

目的 探讨他克莫司治疗风湿免疫病患者血液系统异常的疗效、血药浓度、实验室检查指标之间的相关性。方法 收集血液系统异常并使用他克莫司治疗的57例住院患者的基本信息,利用Stata软件统计分析用药前后实验室指标变化、血药浓度与实验室指标的相关性等。结果 用药后与用药前比较,红细胞沉降率、白细胞计数、血红蛋白、血小板计数、红细胞压积的差异有统计学意义,且他克莫司血药浓度与三酰甘油水平、红细胞压积呈正相关。结论 他克莫司治疗风湿免疫病累及血液系统的患者,能有效改善红细胞沉降率、白细胞计数、血红蛋白、血小板计数、红细胞压积,当血药浓度>3.1 ng·mL-1时,疗效较好,未出现严重不良反应。

关键词: 他克莫司 ; 风湿免疫病 ; 血液系统 ; 血药浓度

Abstract:

Objective To investigate the efficacy of tacrolimus in treating rheumatic immune disease patients with abnormal blood system,and relationship between tacrolimus concentration and laboratory examination indexes. Methods Basic information of 57 rheumatic immune disease patients with abnormal blood system treated with tacrolimus was collected.Laboratory examination indexes and blood concentration of tacrolimus were analyzed by using STATA. Results The levels of ESR,WBC,HB,PLT and HCT were statistically increased after tacrolimus medication.Additionally,the concentration of tacrolimus was positively related to the levels of TRIG and HCT. Conclusion Tacrolimus can effectively improve the levels of ESR,WBC,HB,PLT and HCT in patients with rheumatic immune disease accompanied with abnormal blood system.While tacrolimus concentration was above 3.1 ng·mL-1,the therapeutic effect was better,without serious adverse reactions.

Key words: Tacrolimus ; Rheumatic immune disease ; Blood system ; Blood concentration

风湿免疫病(rheumatic immune disease)是一种可累及全身多器官多系统的自身免疫性疾病,包括类风湿关节炎(rheumatoid arthritis,RA)、系统性红斑狼疮(systemic lupus erythematosus,SLE)、皮肌炎(dermatomyositis,DM)、干燥综合征(sjogren syndrome,SS)、系统性硬化病(systemic sclerosis,SSc)等,其中累及血液系统的以SLE、DM、SS较常见,表现为血小板减少、血红蛋白减少、白细胞减少[1]。临床上常予糖皮质激素联合免疫抑制药治疗,有研究表明,以他克莫司为代表的钙调磷酸酶抑制药治疗风湿免疫病疗效较好,且他克莫司对患者肾功能影响较小,临床应用日趋广泛[2,3,4]。有研究提出他克莫司可用于风湿免疫病累及血液系统病变患者的治疗,但是笔者目前未见明确的数据支持,因此本研究纳入2014年2月—2017年2月入住本院风湿免疫科患者,筛选累及血液系统并使用他克莫司治疗的患者57例,分析其治疗效果、血药浓度、不良反应之间的相关性。

1 资料与方法
1.1 研究对象

本院风湿免疫科住院的57例血液系统受累的患者。纳入标准:①符合相关风湿免疫病的诊断标准;②血液系统受累;③知情同意;④临床资料及相关检查结果完整。排除标准:①并发重大基础疾病;②并发其他可致血液系统损伤的疾病;③并发严重感染、肝功能损伤;④哺乳期、妊娠期;④临床资料及相关检查结果不完整。

1.2 试剂和仪器

Viva-E 药物浓度分析仪(德国Siemens 公司);微量加样器(德国Eppendorf 公司);QB-212摇摆式混匀器(海门市其林贝尔仪器);WH-2微型旋涡混合仪(上海沪西分析仪器厂);5424离心机 (Eppendort AG);低温冰箱(中国海尔公司)。他克莫司检测试剂盒(西门子医学诊断产品有限公司,批号:8R019UL-F3/G2/H1)。所有化学试剂均为色谱纯,实验用水为超纯水。

1.3 样品采集

患者服用他克莫司达稳态后,于早晨空腹静脉采血2 mL,置乙二胺四乙酸二钾(EDTA-K2)抗凝管中,测他克莫司谷浓度(C0)。

1.4 观察指标

分别记录他克莫司治疗前和治疗后1个月实验室检查指标,包括:丙氨酸氨基转移酶(ALT)、天冬氨酸氨基转移酶(AST)、谷酰转肽酶(GGT)、乳酸脱氢酶(LDH)、总胆红素(T-BiL)、总蛋白(total protein,TP)、白蛋白(ALB)、肌酐(Crea)、尿素氮(Urea)、红细胞沉降率(ESR)、白细胞计数(WBC)、血红蛋白(HB)、中性粒细胞百分率(N)、血小板计数(PLT)、三酰甘油(TRIG)、钾(K)、C反应蛋白(CRP)、红细胞压积(HCT)、葡萄糖(GLU)。

1.5 统计学方法

采用Stata13.1版统计学软件,使用描述性统计对患者基本资料和实验室检查指标进行分析,以均数±标准差(\(\overline{x}\)±s)表示;采用混合线性模型对患者用药前后的指标进行比较分析;采用四分位法将血药浓度分为4组并进行单因素方差分析;采用线性回归将与血药浓度有关的指标进行分析。以P<0.05为差异有统计学意义。

2 结果
2.1 患者临床资料

本研究共纳入57例累及血液系统的风湿免疫病患者,基本信息见表1。

表1 患者基本资料比较(例)
Tab.1 Comparison of baseline data between two groups of patients,n=57
患者资料 年龄/
性别 体质量/
kg
诊断 日剂量/
mg
血药浓度/
(ng·mL-1)
DM SLE SS
数值 39.4±16.8 7 50 59.6±8.5 18 15 24 2.6±0.6 3.06±1.96
范围 13~76 42.0~75.5 1~4 0.28~8.50
构成比/% 12.28 87.72 31.58 26.32 42.10

表1 患者基本资料比较(例)

Tab.1 Comparison of baseline data between two groups of patients,n=57

2.2 他克莫司治疗前后患者实验室检查指标变化情况

将患者服用他克莫司前与用药1个月后实验室检查指标进行比较,发现用药前后ESR、WBC、HB、PLT、HCT 5个指标的差异有统计学意义(P<0.05),其他指标差异无统计学意义。见表2。

表2 治疗前后患者基本检查指标变化
Tab.2 Variation of clinical and laboratory parameters before and after treatment n=57
时间 ALT AST GGT LDH T-BiL Crea TP ALB HB ESR/
(mm·h-1)
(U·L-1) (μmol·L-1) (g·L-1)
用药前 32.0±32.6 33.6±35.7 110.8±244.7 286±132 9.6±7.5 51±17 59.8±12.0 33.1±6.6 98±24 43.5±29.2
用药后 38.0±36.5 33.8±47.1 81.6±153.5 275±125 10.3±14.1 50±13 59.5±10.4 33.8±5.7 107±21*1 30.7±27.2*1
Z 4.43 -2.76
时间 Urea TRIG K GLU WBC PLT N HCT CRP/
(mg·L-1)
(mmol·L-1) (×109·L-1) %
用药前 5.9±2.1 2.07±1.52 3.87±0.40 5.90±1.79 5.9±4.4 74±72 71.9±12.7 29.8±6.2 6.9±7.6
用药后 8.4±11.7 2.08±1.43 3.85±0.38 5.38±2.35 7.2±4.9*1 107±68*1 68.8±12.8 32.2±5.5*2 6.5±7.6
Z 2.84 5.42 2.14

Compared with the value before treatment,*1P<0.01,*2P<0.05

与用药前比较,*1P<0.01,*2P<0.05

表2 治疗前后患者基本检查指标变化

Tab.2 Variation of clinical and laboratory parameters before and after treatment n=57

2.3 他克莫司血药浓度分组下ESR、WBC、HB、PLT、HCT分布情况

将患者的血药浓度按四分位数分为4组,1组15例(26.32%),血药浓度为0.28~1.70 ng·mL-1,;2组14例(24.56%),血药浓度为>1.70~3.15 ng·mL-1;3组14例(24.56%)血药浓度为>3.15~4.60 ng·mL-1;4组14例(24.56%)血药浓度为>4.60~8.5 ng·mL-1。观察不同组别下ESR、WBC、HB、PLT、HCT的分布情况。其中ESR(F=3.92)、HB(F=3.05)、HCT(F=5.01)在不同组别的分布差异有统计学意义(P<0.05)。见图1。

图1 不同血药浓度分组下ESR(A)、WBC(B)、HB(C)、PLT(D)、HCT(E)分布
与2组比较,*1P<0.05;与1组比较,*2P<0.05

Fig.1 Distribution of ESR(A),WBC(B),HB(C),PLT(D) and HCT(E) in different groups divided by blood drug concentrations
Compared with group 2,*1P<0.05;compared with group 1,*2P<0.05

2.4 血药浓度与TRIG、HCT线性关系分析

经混合线性模型分析他克莫司血药浓度与实验室检查指标的相关性,发现他克莫司的血药浓度与TRIG存在显著相关性(P<0.05),与HCT存在较显著相关性(P<0.01)。见图2。

图2 他克莫司血药浓度与TRIG(A)、HCT(B)线性关系

Fig.2 Linearity between the blood concentration of tacrolimus and TRIG (A) or HCT(B)

2.5 他克莫司血药浓度与不良反应的关系

4组血药浓度下ALT、AST、Crea、Urea、GLU、K的差异无统计学意义,有3例肝酶异常(>120 U·L-1),3例GLU升高,5例感染,其他无明显不良反应。见图3。

图3 他克莫司血药浓度与ALT(A)、AST(B)、Crea(C)、Urea(D)、GLU(E)、K(F)的关系

Fig.3 Relationship between blood concentration of tacrolimus and ALT(A),AST(B),Crea(C),Urea(D),GLU(E) or K(F)

3 讨论

本研究共纳入57例患者,服用他克莫司1个月后,ESR、WBC、HB、PLT、HCT较患者用药前改善明显(见表2)。可能是他克莫司在细胞质内与钙神经素结合形成复合体并进入细胞内,抑制钙调蛋白磷酸酶的活化和多种细胞因子基因的转录表达,同时抑制T细胞活化以及Th辅助细胞依赖型B细胞的增殖作用,进而抑制多种自身抗体和细胞因子的转录、表达[5,6]。从而减少附着于白细胞、血红蛋白、血小板表面的自身抗体和细胞因子,降低白细胞、血红蛋白、血小板的生成和寿命、功能受到的影响和破坏,最终使ESR降低,WBC、HB、PLT提高,病情得到控制,血液系统症状改善[7,8,9]。此外,他克莫司也保护红细胞,避免受到自身抗体和细胞因子的破坏,因此用药后红细胞升高,HCT也随之升高[10]

他克莫司血药浓度不同分组中发现,在较高浓度(3.13~4.59和4.59~8.5 ng·mL-1)的组别中,ESR、WBC、HB、PLT、HCT均明显改善,即他克莫司血药浓度>3.1 ng·mL-1时,可有效缓解疾病对血液系统的损害,控制病情进展,且HB与HCT的分布随着血药浓度组别的升高呈现上升趋势(见图1)。有研究表明,他克莫司血药浓度控制在3~6 ng·mL-1可有效控制DM、LN的病情进展[11,12,13],且未发现严重不良反应;而KAWAI等[14]发现他克莫司血药浓度控制在3.8~4.8 ng·mL-1可有效治疗RA。本研究与以上研究结论类似但并不完全一致,造成这种差异的原因可能是监测方法、检验员技术、环境等因素的影响。

他克莫司血药浓度与TRIG、HCT存在正相关,可能原因有:与他克莫司引起的脂代谢异常有关。他克莫司能使脂蛋白脂肪酶合成减少或活性下降,导致对TRIG的清除率减少,他克莫司血药浓度越高,对TRIG清除率越低[15]。与他克莫司分布特点有关。有研究表明,他克莫司与红细胞也有较强的结合能力,目前测定的他克莫司浓度为全血浓度,全血中红细胞占比越大,即HCT越高,血药浓度也越高[10]

此外,在他克莫司血药浓度下,未发现不良反应与血药浓度分组有关,仅有3例DM患者出现肝酶升高(>120 U·L-1),可能与患者DM病情活动有关[16];3例患者GLU异常升高,5例患者并发感染,可能与他克莫司引起的糖代谢异常及抑制免疫导致免疫力下降有关,未发现其他严重不良反应[17,18]。虽然他克莫司肾毒性较小,但在服用药物的过程中仍应注意监测肝功能、血糖、血钾等,出现不良反应时及时治疗。

综上所述,风湿免疫病累及血液系统的患者使用他克莫司治疗后临床疗效较好,主要表现在血常规中WBC、HB、PLT提高,ESR下降。他克莫司血药浓度>3.1 ng·mL-1疗效较好且未发现有明显不良反应的发生。但是本研究由于样本量较小,跟踪观察时间较短,他克莫司治疗累及血液系统的风湿免疫病的有效浓度范围以及不良反应还需要进一步研究和探讨。在今后的研究中,需进一步扩大样本量,探寻影响他克莫司血药浓度的因素,并拟合、建立模型,用于预测他克莫司血药浓度,评估药效和不良反应,指导临床精准用药。

The authors have declared that no competing interests exist.

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[9] 陈颖娟,赖蓓,杨拓,.抗血小板抗体在系统性红斑狼疮血小板减少患者中临床意义的研究[J].中华风湿病学杂志,2011,15(4):241-244.
目的 明确抗血小板抗体在系统性红斑狼疮(SLE)血小板减少患者中的临床意义.方法 采用改良抗原捕获酶联免疫吸附试验(ELISA)法检测抗血小板抗体(抗GPⅡb/Ⅲa、GPⅠb/Ⅸ、GPⅠa/Ⅱa、GPⅣ抗体),分别比较治疗前 SLE血小板减少与SLE非血小板减少患者抗血小板抗体的阳性率、SLE血小板减少患者治疗前后抗血小板抗体的阳性率、SLE血小板减少治疗前患者病情与 抗血小板抗体的关联性.统计方法采用秩和检验和x2检验.结果 治疗前SLE血小板减少组抗GPⅡb/Ⅲa抗体、抗GP Ⅰb,Ⅸ抗体阳性率分别为50%、67%.非血小板减少组阳性率分别为11%、28%,2组间阳性率差异有统计学意义(P<0.05);治疗后SLE血小 板减少组抗GPⅡb/Ⅲa抗体、抗GP Ⅰb/Ⅸ抗体阳性率分别为6%、28%,较治疗前显著降低(P<0.05);SLE血小板减少组治疗前抗GPⅡb/Ⅲa抗体、抗GP Ⅰb/Ⅸ抗体之间显著关联,该2种抗体均与SLEDAI评分有显著关联性,与抗核抗体、抗双链DNA(dsDNA)抗体、抗中性粒细胞胞质抗体 (ANCA)则无显著关联;各组间未检测出抗GPⅣ和GPⅠa/Ⅱa抗体.结论 抗GPⅡb/Ⅲa、GPⅠb/Ⅸ抗体在病情活动SLE血小板减少患者中表达显著升高,与SLE血小板减少病情发生发展和转归相关.
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[10] STAATZ C E,TETT S E.Clinical Pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation[J].Clin Pharmac,2004,43(10):623-653.
The aim of this review is to analyse critically the recent literature on the clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplant recipients.Dosage and target concentration recommendations for tacrolimus vary from centre to centre, and large pharmacokinetic variability makes it difficult to predict what concentration will be achieved with a particular dose or dosage change. Therapeutic ranges have not been based on statistical approaches. The majority of pharmacokinetic studies have involved intense blood sampling in small homogeneous groups in the immediate post-transplant period. Most have used nonspecific immunoassays and provide little information on pharmacokinetic variability. Demographic investigations seeking correlations between pharmacokinetic parameters and patient factors have generally looked at one covariate at a time and have involved small patient numbers. Factors reported to influence the pharmacokinetics of tacrolimus include the patient group studied, hepatic dysfunction, hepatitis C status, time after transplantation, patient age, donor liver characteristics, recipient race, haematocrit and albumin concentrations, diurnal rhythm, food administration, corticosteroid dosage, diarrhoea and cytochrome P450 (CYP) isoenzyme and P-glycoprotein expression. Population analyses are adding to our understanding of the pharmacokinetics of tacrolimus, but such investigations are still in their infancy. A significant proportion of model variability remains unexplained. Population modelling and Bayesian forecasting may be improved if CYP isoenzymes and/or P-glycoprotein expression could be considered as covariates.Reports have been conflicting as to whether low tacrolimus trough concentrations are related to rejection. Several studies have demonstrated a correlation between high trough concentrations and toxicity, particularly nephrotoxicity. The best predictor of pharmacological effect may be drug concentrations in the transplanted organ itself. Researchers have started to question current reliance on trough measurement during therapeutic drug monitoring, with instances of toxicity and rejection occurring when trough concentrations are within 鈥榓cceptable鈥 ranges. The correlation between blood concentration and drug exposure can be improved by use of non-trough timepoints. However, controversy exists as to whether this will provide any great benefit, given the added complexity in monitoring. Investigators are now attempting to quantify the pharmacological effects of tacrolimus on immune cells through assays that measure in vivo calcineurin inhibition and markers of immunosuppression such as cytokine concentration. To date, no studies have correlated pharmacodynamic marker assay results with immunosuppressive efficacy, as determined by allograft outcome, or investigated the relationship between calcineurin inhibition and drug adverse effects. Little is known about the magnitude of the pharmacodynamic variability of tacrolimus.
DOI:10.2165/00003088-200443100-00001      PMID:15244495      URL    
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[11] SHIMOJIMA Y,ISHII W,MATSUDA M,et al.Coadministration of tacrolimus with corticosteroid accelerates recovery in refractory patients with polymyositis/ dermatomyositis:a retrospective study[J].Bmc Musc Dis,2012,13(1):1-6.
Background In workplace health promotion, all potential resources needs to be taken into consideration, not only factors relating to the absence of injury and the physical health of the workers, but also psychological aspects. A dynamic balance between the resources of the individual employees and the demands of work is an important prerequisite. In the home care services, there is a noticeable trend towards increased psychosocial strain on employees at work. There are a high frequency of work-related musculoskeletal disorders and injuries, and a low prevalence of sustainable work ability. The aim of this research was to identify factors promoting work ability and self-efficacy in care aides and assistant nurses within home care services. Methods This study is based on cross-sectional data collected in a municipality in northern Sweden. Care aides (n = 58) and assistant nurses (n = 79) replied to a self-administered questionnaire (response rate 46%). Hierarchical multiple regression analyses were performed to assess the influence of several independent variables on self-efficacy (model 1) and work ability (model 2) for care aides and assistant nurses separately. Results Perceptions of personal safety, self-efficacy and musculoskeletal wellbeing contributed to work ability for assistant nurses (R 2 adj of 0.36, p < 0.001), while for care aides, the safety climate, seniority and age contributed to work ability (R 2 adj of 0.29, p = 0.001). Self-efficacy was associated with the safety climate and the physical demands of the job in both professions (R 2 adj of 0.24, p = 0.003 for care aides), and also by sex and age for the assistant nurses (R 2 adj of 0.31, p < 0.001). Conclusions The intermediate factors contributed differently to work ability in the two professions. Self-efficacy, personal safety and musculoskeletal wellbeing were important for the assistant nurses, while the work ability of the care aides was associated with the safety climate, but also with the non-changeable factors age and seniority. All these factors are important to acknowledge in practice and in further research. Proactive workplace interventions need to focus on potentially modifiable factors such as self-efficacy, safety climate, physical job demands and musculoskeletal wellbeing.
DOI:10.1186/1471-2474-13-1      PMID:3292971      URL    
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[12] 费允云,吴庆军,张文,.他克莫司治疗难治性狼疮肾炎的疗效和安全性[C].第17次全国风湿病学学术会议论文集,2012:9-12.
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[13] ASAMIYA Y,UCHIDA K,OTSUBO S,et al.Clinical assessment of tacrolimus therapy in lupus nephritis:one-year follow-up study in a single center[J].Neph Clin Pract,2009,113(4):330-336.
AbstractBackground/Aims: The purpose of this study was to examine whether tacrolimus is effective and safe, and to determine the optimal dose of tacrolimus for maintenance treatment in patients with lupus nephritis (LN). Methods: A total of 17 adult patients (1 man and 16 women) with LN were enrolled. Tacrolimus was initiated at a dose of 3 mg/day which was administered once per day after the evening meal. Prospective data on renal response and serologic lupus activity were collected and followed for a year. Results: Mean age at baseline was 48.8 &plusmn; 12.6 years (range 31&ndash;72 years). The mean urinary protein/creatinine ratio significantly decreased from 1.14 &plusmn; 1.74 at baseline to 0.23 &plusmn; 0.47 at 1 year (p &lt; 0.05). Mean serum C3 significantly increased from 73.0 &plusmn; 12.3 mg/dl at baseline to 84.7 &plusmn; 12.2 mg/dl at 1 year (p &lt; 0.01). Mean serum creatinine levels were unchanged after tacrolimus treatment. The mean blood concentration of tacrolimus was 3.9 &plusmn; 2.1 ng/ml. There was no relationship between the incidence of adverse effects and blood tacrolimus level. Conclusion: Our results suggest tacrolimus to be potentially effective and safe for maintenance treatment in patients with LN.Copyright &copy; 2009 S. Karger AG, Basel
DOI:10.1159/000235952      PMID:19729969      URL    
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[14] KAWAI S,YAMAMOTO K.Safety of tacrolimus,an immunosuppressive agent,in the treatment of rheumatoid arthritis in elderly patients[J].Rheumatology,2006,45(4):441-444.
To prospectively evaluate the safety of tacrolimus in active rheumatoid arthritis (RA) in elderly patients with insufficient response to disease-modifying antirheumatic drugs (DMARDs). Fifty-seven patients aged > or =65 yr with RA for > or =6 months were enrolled in an open-label, non-controlled study. All DMARDs were discontinued and tacrolimus was administered orally once daily after the evening meal for 28 weeks. Tacrolimus, initiated at 1.5 mg/day, was increased to 3 mg/day after 6 weeks if no abnormal changes developed. Existing NSAID and oral corticosteroid (< or =7.5 mg/day prednisolone equivalent) therapy could be continued during the study. Safety was evaluated as clinical symptoms, abnormal changes in laboratory values and the development of infection. Treatment response was determined using the American College of Rheumatology (ACR) criteria for improvement. Whole blood concentrations of tacrolimus 12 h after administration were measured by high-performance liquid chromatography and tandem mass spectrometry. Clinical adverse events developed in 25 patients (46.3%). Abnormal changes in laboratory values occurred in 25 patients (46.3%). Ten patients (18.5%) developed infection. An ACR20 response was achieved by 50.0% of efficacy-evaluable patients and ACR20 success rates (the proportion of patients achieving ACR20 response and completing the study) was 46.3%. The ACR50 response rate was 18.5% of evaluable patients. Mean blood concentration of tacrolimus was 3.3 and 5.3 ng/ml in patients receiving 1.5 and 3.0 mg daily, respectively. No relationship between its concentration and adverse reactions was observed. In elderly patients with insufficient response to DMARD therapy, tacrolimus at 1.5-3.0 mg/day is safe and well-tolerated and provides clinical benefit.
DOI:10.1093/rheumatology/kei172      PMID:16263777      URL    
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[15] LI H Y,LI B,WEI Y G,et al.Higher tacrolimus blood concentration is related to hyperlipidemia in living donor liver transplantation recipients[J].Dig Dis Sci,2012,57(1):204-209.
The arrival of tacrolimus has drastically improved AALDLT recipients' survival. However, little data of tacrolimus have been reported concerning its effects on lipid metabolism for AALDLT recipients.Out aim was to investigate the relationship between tacrolimus blood concentration and lipid metabolism in AALDLT recipients.The pre and postoperative data of 77 adult patients receiving AALDLT between 2002 and December 2007 were retrospectively reviewed. The postoperative immune suppressive regimen was prednisone with tacrolimus ± mycophenolate mofetil. Prednisone was withdrawn within the first postoperative month. Blood lipids and tacrolimus concentration were detected at the first, third, and sixth month during follow-up. Episodes of acute rejection were diagnosed based on biopsy.Overall prevalence of post-transplantation hyperlipidemia was 29.9% (23/77) at the sixth postoperative month. The patients were divided into two groups, the hyperlipidemia group and the ortholipidemia group. In the 23 patients with hyperlipidemia, 15 (65%) were hypercholesterolemia, five (22%) were hypertriglyceridemia, and three (13%) patients had both hypercholesterolemia and hypertriglyceridemia. In univariate analysis, only tacrolimus blood concentration at the third and sixth post-transplantation months showed significant difference (8.7 ± 2.1 vs. 6.9 ± 3.2, p = 0.013; 9.2 ± 2.7 vs. 7.3 ± 3.8, p = 0.038, respectively). In multivariate logistic analysis, only two factors appear to be risk factors, namely, tacrolimus blood concentration at the third and sixth post-transplantation months (8.7 ± 2.1 vs. 6.9 ± 3.2, p = 0.043; 9.2 ± 2.7 vs. 7.3 ± 3.8 p = 0.035, respectively).Higher tacrolimus blood concentration was related to hyperlipidemia at an early postoperative period. This indicates that tacrolimus blood concentration should be controlled as low as possible in the premise that there is no risk of rejection to minimize post-transplant hyperlipidemia after AALDLT.
DOI:10.1007/s10620-011-1817-5      PMID:21743990      URL    
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[16] 赵向聪,王彩虹,罗静,.皮肌炎71例系统损害分析[J].中国药物与临床,2011,11(5):513-515.
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[17] 王波,田慧,巴建明,.他克莫司引起继发性糖尿病的临床转归和药学监护[J].中国药物应用与监测,2011,8(1):26-29.
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[18] 周峻臣,李丹滢,方芸,.服用他克莫司的肾移植患者ABCB1基因多态性与术后感染的相关性[J].中国医院药学杂志,2016,36(4):305-309.
<strong>目的:</strong>观察服用他克莫司(Tacrolimus)的肾移植受者<em>ABCB1</em>基因多态性对于术后感染发生的影响。<strong>方法:</strong>选取行肾移植手术并服用他克莫司的患者90例,根据术后是否存在感染分为感染组和对照组,检测所有患者的<em>ABCB1</em>基因型3435C&gt;T,1236C&gt;T和2677G&gt;A/T。采用<em>&chi;</em><sup>2</sup>检验,方差分析和独立样本<em>T</em>检验的方法对患者的基本临床资料进行检验。采用卡方检验比较感染组和未感染组的基因多态性频率分布差异。<strong>结果:</strong>患者C1236T,C3435T,G2677A/T等位基因频率,均符合Hardy-Weinberg平衡。感染组和非感染组患者的年龄,性别,体质量,临床诊断,吗替麦考酚酯(Mycophenolate Mofetil)的用量均没有显著性差异。2组患者的平均血药谷浓度在一年内均无统计学差异。C1236T单核苷酸多态性对肾移植术后感染发生的影响具有统计学意义(<em>P</em>=0.034)。G2677A/T突变的发生对肾移植术后感染发生的影响具有统计学意义(<em>P</em>=0.010)。<strong>结论:</strong><em>ABCB1</em>基因多态性中,仅C1236T的SNP多态性与G2677A/T的突变对肾移植术后感染发生的影响具有统计学意义。
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关键词(key words)
他克莫司
风湿免疫病
血液系统
血药浓度

Tacrolimus
Rheumatic immune disease
Blood system
Blood concentration

作者
马祝悦
姚瑶
朱怀军
束庆
王红
方芸

MA Zhuyue
YAO Yao
ZHU Huaijun
SHU Qing
WANG Hong
FANG Yun