Effects of CYP3A5 Polymorphisms on Efficacy and Safety of Tacrolimus Therapy in Patients with Idiopathic Membranous Nephropathy.

BACKGROUND: Tacrolimus (TAC) is beneficial for patients with idiopathic membranous nephropathy (IMN). It has a narrow therapeutic concentration range and many factors influence TAC blood concentration. CYP3A5 is the most important enzyme in TAC metabolism. The aim of this study was to analyze the effects of CYP3A5 gene polymorphisms on the efficacy and safety of TAC in IMN patients. PATIENTS AND METHODS: Patients with IMN who received oral TAC (0.05-0.075mg/kg/day) combined with prednisone (0.5mg/kg/day) from March 2016 to October 2018 were included. The data of clinical characteristics, therapeutic drugs and adverse reactions of patients were collected at baseline and during 24 weeks of treatment. Patients were divided into two groups according to different CYP3A5 genetic polymorphisms. The significant differences in the efficacy and side effects between the two groups were analyzed.
RESULTS: A total of 76 patients who completed follow-up were divided into CYP3A5 nonexpresser (CYP3A5*3/*3) group and CYP3A5 expresser (CYP3A5 *1/*3) group. The significant association between the CYP3A5 phenotype and TAC metabolism was observed. A total of 43 case-times patients exhibited adverse effects. The infection rate in CYP3A5 nonexpresser group (21.95%) was remarkably higher than the rate in CYP3A5 expresser group (5.71%). Blood concentration and C0/D levels were risk factors for adverse events through logistic regression analysis. There was no statistical difference between the study groups with respect to the efficacy.
CONCLUSION: Our results demonstrated that CYP3A5 polymorphisms had important guiding roles in the treatment of IMN with tacrolimus. CYP3A5 expressers required higher daily doses of TAC to achieve the target drug concentration, but with fewer side effects. CYP3A5 genetic polymorphism might be used for TAC dosing adjustment to optimize the treatment for patients with IMN.

Introduction

Idiopathic membranous nephropathy (IMN) is one of the most common causes of nephrotic syndrome (NS) in adults and accounts for 9.89–13.3% of primary glomerular disease in mainland China.1,2 IMN is characterized by immune complex deposition under glomerular epithelial cells; thus, leading to diffuse thickening of capillary basement membranes.

Ponticelli regimen, a 6-month cycling of an alkylating agent with corticosteroids, is the preferred protocol recommended for IMN by the KDIGO Clinical Practice Guidelines because there is evidence to support its relationship with long-term improvement of renal survival.3 However, adverse events are common in this protocol.4,5 Calcineurin inhibitors (CNIs) are the only other level I treatment recommendation in the glomerular nephropathy (GN) guidelines for IMN patients who refused/failed cyclophosphamide/steroid therapy or had contraindications to this approach. Many important trials have been conducted, which have better defined the role of CNIs for the treatment of MN.6,7 Howman et al reported a UK randomised controlled trial in IMN which was restricted to patients with a rapid progressive decrease of >20% in eGFR within 2 years of entry. In the intention-to-treat analysis only, the alkylating/steroid regimens showed benefit when compared with CNI group or placebo, but overall patient survival showed no significant differences between groups. There was a substantial serious adverse event (AE) rate in all groups, highest in the chlorambucil/steroid group.6,8 The other one is the MENTOR trial in IMN patients with persistent proteinuria >5g/day comparing cyclosporine monotherapy with rituximab, which showed that rituximab was noninferior to CNI in inducing complete or partial remission of proteinuria at 12 months.7 RCTs have demonstrated reductions in proteinuria similar in degree to other regimens but an earlier and higher relapse rate for CNIs.9,10 Therefore, the dosage of CNIs treatment needs to be weighed among benefits, the adverse events and relapse risks. Tacrolimus (TAC) is one of the CNIs, which has been widely used in autoimmune diseases and the prevention of rejection in liver and kidney transplantation. TAC inhibits the activation of an essential transcription factor for the expression of cytokine genes in T cells, leading to the decreased production of cytokines such as interleukin-2 and interferon-γ.11 In recent years, TAC has been used more frequently for the treatment of IMN because of the stronger immunosuppressive effect and fewer side effects compared with cyclosporine. Due to the narrow therapeutic range, therapeutic drug monitoring (TDM) is essential for the optimization of TAC dosage and the prevention of adverse effects. Achieving the therapeutic level is especially important during the initial therapy of IMN.

The cytochrome P450 protein, especially the CYP3A4/5 subfamily, is the most important enzyme in TAC metabolism and is expressed mainly in the liver, intestine and kidney. The previous study showed that the CYP3A5*3 SNP (6986 A>G) in intron 3 was strongly associated with CYP3A5 expression, and the effect of the CYP3A5*3 allele on the pharmacokinetics of oral TAC was confirmed by consistent positive results.12 Allele carriers of the CYP3A5*1 (CYP3A5*1/*1 or CYP3A5 *1/*3, CYP3A5 expresser) produce higher levels of functional CYP3A5 compared with homozygous carriers of CYP3A5*3 (CYP3A5 *3/*3, CYP3A5 nonexpresser), which may require higher doses of TAC to achieve a similar therapeutic concentration.13 Studies in renal transplant recipients have demonstrated that patients who did not express functional CYP3A5 (CYP3A5 nonexpresser) required significantly less TAC to reach target concentrations compared to patients who expressed CYP3A5 (CYP3A5 expresser, requiring 30–50% higher TAC doses).14 However, at present, the studies are mainly limited to renal transplantation. We performed this retrospective study to investigate the influence of CYP3A5 gene polymorphisms on the efficacy and side effects of TAC treatment in patients with IMN.

Patients and Methods

Patients

This study was approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University (No.2018-SR-218.A1). All procedures followed were in accordance with the ethical principles of Good Clinical and Laboratory Practices and with the Helsinki Declaration of 1975, as revised in 2008. Written informed consent was obtained from all patients enrolled. Patients with biopsy-proven IMN who were hospitalized in the First Affiliated Hospital of Nanjing Medical University from March 2016 to October 2018 were screened in this retrospective study. Inclusion criteria for collecting patients’ data were as follows: (1) pathology-proven IMN; (2) serum creatinine <260 µmol/L; (3) no administration of CYP3A enzyme inducers or inhibitors (such as macrolides, rifampicin, diltiazem, antifungal drugs, etc.) were administered in the previous 1 month. Exclusion criteria: (1) secondary membranous nephropathy; (2) malignant tumor and human immunodeficiency virus (HIV), hepatitis B virus (HBV), or hepatitis C virus (HCV) infection; (3) receiving other cytotoxic drugs or immunosuppressive agents in the previous 1 month; (4) pregnancy or lactation; (5) liver dysfunction (aspartate aminotransferase or alanine aminotransferase twice the upper limit of the normal value) or bilirubin twice the upper limit of the normal value.

Therapy

The safety and efficacy of initial TAC combined with prednisone therapy were explored in this 24-week study. Patients initially received TAC (0.05–0.075mg/kg/day) combined with prednisone (0.5mg/kg/day). TAC was administered orally every 12 hrs (1 hr before meals or 2 hrs after meals). The whole-blood concentration of TAC was measured using the ARCHITECT TAC Reagent Kit (Chemiluminescence microparticle immunoassay) (Abbott Laboratories, IL, USA) according to the manufacturer’s protocol. The TAC blood concentration was measured and dosage was then adjusted weekly by blood concentration with a target range of 4‑10ng/mL.15 After 8 weeks of initial administration, the prednisone dosage tapered by 5 mg every 2 weeks until daily maintenance of 10 mg per day.

Observation Indicators

Patients were followed‑up once a week in the first month and once a month for the next 5 months. The following variables were measured at baseline and during observation time: TAC dose (D), TAC blood concentration, blood routine (white blood cell count, red blood cell count, hemoglobin and platelet), 24-hrs urine excretion, serum albumin, liver function (alanine aminotransferase, aspartate aminotransferase), renal function (blood urea nitrogen, serum creatinine, serum uric acid), blood lipids (total cholesterol, triglyceride), fasting blood glucose and estimated glomerular filtration rate (eGFR) calculated by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. TAC dose-adjusted trough concentration (C0/D ratio) was calculated as trough concentration (ng/mL) divided by the corresponding weight-adjusted daily dose (mg/kg/d). At the same time, the occurrences of adverse events during the treatment, such as hyperglycemia, tremor, headache, kidney injury, liver damage and diarrhea, were collected.

CYP3A5*3 Genotyping

The CYP3A5*3 6986A>G was detected by fluorescence staining in situ hybridization (FISH). In brief, PHARM-GENE SNP analysis sample preservation solution and PHARM-GENE 200 SNP analysis sample processing solution (Beijing SINO-ERA JIYIN Tech) were added to peripheral blood leukocytes collected from peripheral blood. Then, the samples were detected on a fluorescence detector (Xi’an Tianlong Technology, TL998A).

Effectiveness Evaluation

Therapeutic effectiveness was divided into complete remission (CR), partial remission (PR) or no remission (NR). CR was defined as proteinuria <0.5 g/day with normal renal function and PR was defined as proteinuria of 0.5–3.5 g/day that had declined to ≤50% of the baseline levels with stable renal function. If neither CR nor PR was achieved after 24 weeks of initial treatment, the outcome was defined as NR.

Statistical Analysis

Variables were presented as mean ± standard deviation (SD). Statistical difference between two groups was determined with a Student’s t-test. And those of non-normal distribution were tested by the Wilcoxon rank-sum test. Kruskal–Wallis test was used to perform comparisons among the different groups. The independent samples T-test was used to compare the means of two samples. χ2 test was used to compare the disorder classified data. Categorical variables were compared using the Kruskal–wallis test when appropriate. Correlation analysis was calculated using Pearson and Spearman correlation coefficients. The logistic regressive analysis was applied to pinpoint the independent risk factors of the incidence of side effects. A p value < 0.05 was considered significant. The statistical analysis was performed using SPSS 19.0 software (Chicago, Ill., USA).

Results

Baseline Characteristics

A total of 88 patients fulfilled the selection criteria, of whom 65 (73.86%) were men and 23 (26.14%) were women. The mean age was 49.98±15.64 years (between 14 and 83 years old). The mean body weight was 70.7±11.13 kg (Table 1). The most common observed variant for CYP3A5 was CYP3A5 *3/*3 (51.14%). CYP3A5 *1/*3 was seen in 46.59% patients. CYP3A5 *1/*1 only accounted for 2.27% (2 cases) (Figure 1). Twelve patients lost follow-up or changed treatment, so 76 patients who completed follow-up were included in the final analysis (Table 2). They were divided into two groups: CYP3A5 nonexpresser (CYP3A5*3/*3) and CYP3A5 expresser (CYP3A5 *1/*3). Baseline demographics were presented in Table 2, and there was no significant difference in baseline data between the two groups.

Table 1

General Clinical Data for Enrolled Patients with IMN

Characteristic	Value
Cases (male, %)	88 (65, 73.86%)
Body weight (kg)	70.7±11.13
Age (years)	49.98±15.64
CYP3A5 phenotypes (Cases, %)	CYP3A5 *3/*3 a (45, 51.14%)
	CYP3A5 *1/*3 b (41, 46.59%)
	CYP3A5 *1/*1 b (2, 2.27%)
Lost to follow-up (Cases)	CYP3A5 *3/*3 a (3)
	CYP3A5 *1/*3 b (6)
	CYP3A5 *1/*1 b (1)
Treatment regimen changed (Cases)	CYP3A5 *3/*3 a (1)
	CYP3A5 *1/*3 b (0)
	CYP3A5 *1/*1 b (1)

Notes: Data were presented as means ± SD. aHomozygous carriers of CYP3A5*3 (CYP3A5 nonexpresser); bAllele carriers of the CYP3A5*1 (CYP3A5*1/*1 or CYP3A5 *1/*3, CYP3A5 expresser).

Figure 1

CYP3A5 genotype screening of the enrolled IMN patients.

Abbreviation: IMN, idiopathic membranous nephropathy.

Table 2

Comparison of the Clinical Characteristics Between Groups

Characteristic	CYP3A5 Nonexpresser	CYP3A5 Expresser	p
CYP3A5 phenotypes (Cases)	CYP3A5 *3/*3 a (41)	CYP3A5 *1/*3 b (35)
Age (year)	50.66±13.89	47.89±16.49	0.429
Gender (Male/female)	33/8	22/13	0.123
Weight (kg)	72.70±11.73	68.84±9.98	0.131
Leukocyte (*109/L)	7.81±1.95	7.03±1.70	0.071
Lymphocyte (*109/L)	2.00±0.67	2.02±0.56	0.918
Hemoglobin (g/L)	129.07±20.92	130.17±21.12	0.821
Platelet (*109/L)	239.51±73.06	228.09±41.53	0.416
Albumin (g/L)	22.74±5.96	22.11±5.79	0.811
Globulin (g/L)	22.04±4.12	20.71±2.55	0.101
Serum Glucose (mmol/L)	5.21±0.94	4.86±0.70	0.068
Urea nitrogen (mmol/L)	6.49±2.41	5.72±1.82	0.229
Serum Creatinine (μmol/L)	84.68±19.59	76.03±19.46	0.058
Uric acid (μmol/L)	389.66±101.24	366.92±82.40	0.292
24h urine protein (g)	9.09±7.49	6.84±5.20	0.059
eGFR (mL/min/1.73m2)	88.11±18.71	95.51±19.80	0.099
Histological grading
Stage I	7	7	NS
Stage II	22	17
Stage III	9	8
Stage IV	3	3
ALT(u/L)	20.02±8.54	21.00±11.74	0.963
AST(u/L)	20.74±5.63	22.32±9.92	0.684
Cholesterol (mmol/L)	7.65±2.34	8.12±2.31	0.207
Triglyceride (mmol/L)	3.24±2.11	2.58±1.09	0.297
Anti-PLA2R level (RU/mL)	202.86±472.32	154.03±440.84	0.917
Tissue PLA2R staining
Negative	10	12	NS
Positive	31	23

Notes: Data were presented as means ± SD. aHomozygous carriers of CYP3A5*3 (CYP3A5 nonexpresser); bAllele carriers of the CYP3A5*1 (CYP3A5*1/*1 or CYP3A5 *1/*3, CYP3A5 expresser).

Abbreviations: AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Relationship Between CYP3A5 Phenotype and TAC Concentration

As shown in Table 3, although TAC dose and dose/weight in CYP3A5 expresser group were markedly elevated, the blood concentration and C0/D ratio were still lower than the levels in CYP3A5 nonexpresser group (p<0.05). Twelve patients in the CYP3A5 expresser group did not achieve the recommended TAC concentration in the follow-up periods due to the complications or economic conditions. Only three patients in the CYP3A5 nonexpresser group had unsatisfied blood concentration.

Table 3

Comparison of the TAC Dose and the Concentration Between Two Groups

Groups	CYP3A5 Nonexpresser	CYP3A5 Expresser	p
Cases	41	35
Dose (mg)	2.54±0.88	3.79±0.89	0.000*
Weight (kg)	72.70±11.73	68.84±9.98	0.131
Dose/Weight (mg/kg/day)	0.036±0.013	0.056±0.013	0.000*
Blood concentration (ng/mL)	6.48±2.40	4.68±3.09	0.006*
C0/D(ng/mL/mg/kg/day)	199.18±102.72	84.41±53.99	0.000*

Notes: *p value < 0.05. Data were presented as means ± SD.

Correlation Between C0/D and Clinical Characteristics

To investigate the correlation between C0/D and clinical characters, the associations of clinical indexes such as age, gender, albumin, hemoglobin, and hematocrit value with TAC C0/D ratio were studied. As shown in Table 4, body weight, hemoglobin, and serum uric acid level were positively correlated with C0/D ratio (p<0.05).

Table 4

Correlation Between C0/D and Clinical Characteristics

	R	p
Body weight (kg)	0.24	0.039*
Hemoglobin (g/L)	0.30	0.009*
Uric acid (μmol/L)	0.24	0.041*

Note: *p value < 0.05.

Comparison of the Efficacy Between Two Groups

The total response rate (CR+PR) in CYP3A5 nonexpresser group was slightly higher than that in CYP3A5 expresser group after 24 weeks of treatment, but there was no statistical difference between the two groups (p>0.05) (Table 5).

Table 5

Comparison of the Efficacy Between Two Groups

Groups	CYP3A5 Nonexpresser	CYP3A5 Expresser	p
Cases	41	35
CR	11(26.83%)	10(28.57%)	0.417
PR	20(48.78%)	15(42.86%)
NR	8(19.51%)	10(28.57%)
Death	2(4.88%)	0

Abbreviations: CR, complete remission; PR, partial remission; NR, no remission.

Incidence of Adverse Events

A total of 43 case-times patients exhibited adverse effects, 11 suffered infection especially severe pneumonia, 10 suffered hyperuricemia, 9 suffered glucose intolerance (Table 6). The infection rate in the CYP3A5 nonexpresser group (21.95%) was remarkably higher than the rate in the CYP3A5 expresser group (5.71%) (p<0.05). There were no significant differences between the two groups in terms of the incidences of other adverse events. Notably, kidney function decline was observed in one patient of the CYP3A5 expresser group whose TAC concentration reached to 21 ng/mL. The renal function was recovered as the TAC concentration reduced to the recommended concentration. None of the patients withdrew from the study because of side effects.

Table 6

Comparison of Adverse Events During the 24-Week Study Period Between Two Groups

Groups	CYP3A5 Nonexpresser	CYP3A5 Expresser	p
Infection	9 (21.95%)	2 (5.71%)	0.045*
Gastrointestinal reactions	2 (4.88%)	1 (2.86%)	0.652
Hepatic insufficiency	4 (9.76%)	3 (8.57%)	0.859
Hyperuricemia	4 (9.76%)	6 (17.14%)	0.342
Glucose intolerance	5 (12.20%)	4 (11.43%)	0.918
Tremors	1 (2.44%)	0 (0.00%)	0.352
Acute kidney injury	0 (0.00%)	1 (2.86%)	0.276
Unexplained death	1 (2.44%)	0 (0.00%)	0.352

Note: *p value < 0.05.

Risk Factors of Adverse Effects Related to TAC

Logistic regression analysis was performed to explore the risk factors (gender, age, weight, dosage, and CYP3A5 genotypes) for adverse reactions in IMN patients treated with TAC, which indicated that blood concentration and C0/D levels of TAC were the key risk factors for adverse events in our study (p<0.05). There were higher mean drug levels (6.64±3.26ng/mL vs 4.93±2.31 ng/mL) and mean C0/D levels (180.38±120.45 vs 117.91±72.44) in patients with adverse reactions compared with patients without side effects (p<0.01). In addition, the incidence of adverse reactions was positively correlated with blood concentration and C0/D levels of TAC. That is, the incidence of adverse effects increased along with the increase of the TAC concentration and C0/D level. Other factors had no statistical correlations with adverse reactions (p>0.05) (Figure 2).

Figure 2

Logistic regression relationships of incidences of adverse effects with TAC and C0/D levels. (A) TAC concentration and (B) C0/D levels were positively correlated with the incidence of adverse reactions. TAC, tacrolimus, C0/D, TAC blood concentration divided by daily dose per body weight.

Discussion

IMN is the most common cause of idiopathic nephrotic syndrome in adults and one of the leading identifiable causes of end-stage renal disease (ESRD).16 In recent years, various autoantibodies, including M-type phospholipase A2 receptor (PLA2R) and thrombospondin type 1 domain-containing 7A (THSD7A), have been identified as important mechanisms for the pathogenesis of IMN.17 Accepted regimens for IMN include steroids/cyclophosphamide, calcineurin inhibitors, and B cell depletion. Early treatment can reduce the complication associated with nephrotic syndrome and prevent progression to ESRD.18

TAC has been shown to decrease proteinuria, reduce the rate of loss of renal function, and decrease anti-PLA2R antibody levels in IMN.6,10,16 The advantages of TAC include the lower incidence of infection and malignancy compared with cytotoxic drugs and the efficacy when used as monotherapy.3,8,16 TAC induced partial or complete remissions in up to 80% of cases of IMN within 12 months and might be used when cyclophosphamide/steroid treatment was unsuccessful.3,8,19,20 The disadvantages include long-term nephrotoxicity with the consequent need to closely monitor blood drug concentrations, increased incidence of hypertension and diabetes, and more importantly, a narrow therapeutic index and a large interindividual difference in both pharmacokinetics and pharmacodynamics. Therapeutic drug monitoring (TDM) and CYP3A5 genotyping are common tools for the adjustment of individual TAC dosage in the clinic.12,13 However, TDM is labor-intensive because this method requires frequent monitoring of drug concentrations in blood. Notably, TDM cannot predict individual dosage. Some patients might experience adverse effects before starting drug monitoring.12,13 CYP3A5 genotyping can help to optimize the TAC dose between CYP3A5 expressers and non-expressers. Our study confirmed that CYP3A5 polymorphisms were associated with variability in TAC pharmacokinetics, thus affecting the therapeutic efficacy and adverse effects in IMN. Firstly, CYP3A5 polymorphism-guided dosing helped to determine appropriate doses of TAC in IMN. Patients with the CYP3A5 nonexpresser genotype exhibited a C0/D ratio 2 times higher than CYP3A5 expressers, suggesting that the genotypes participated in the metabolism of TAC and patients with CYP3A5 expresser required higher doses to achieve target blood concentrations. The dose-modifying effect caused by CYP3A5 polymorphism was further supported by the results that Dose/Weight in CYP3A5 nonexpresser genotype was significantly lower when compared with expressers. These results were consistent with the findings observed in kidney transplant recipients.13 Secondly, we found that clinical parameters such as body weight, blood uric acid and hemoglobin were positively associated with the TAC C0/D ratio. As previously reported, body mass index (BMI) ≥25 was proved as one of the risk factors for being slow metabolizers and therefore requiring small TAC doses.21 Although the mechanisms underlying the relationship between hyperuricemia and TAC C0/D ratio are limited, TAC was reported to reduce uric acid excretion and increase blood uric acid levels.22 The initial Dose/Weight in patients with metabolic abnormalities is suggested to be started at relatively lower levels since these patients have a higher risk of TAC over-dosage-related toxicity. Hemoglobin has been reported to be associated with TAC pharmacokinetics in previous studies.23,24 This association of hemoglobin with TAC pharmacokinetics could be ascribed to the distribution of TAC, particularly its wide distribution in erythrocytes and plasma proteins.24 Although body weight, blood uric acid, and hemoglobin had effects on TAC C0/D ratio, CYP3A5 was still the most important factor affecting TAC concentration because there were no differences in these factors between the two groups.

Although the overall response rate in CYP3A5 non-expresser group was higher than that in CYP3A5 expresser group after 24 weeks of treatment, our results showed that CYP3A5 gene polymorphism had no significant effect on the curative effect of TAC in IMN since there was no statistical difference in the remission rate (CR+PR) between CYP3A5 nonexpresser and CYP3A5 expresser groups. However, the results regarding side effects differed. It was observed that the infection rate of CYP3A5 nonexpresser was significantly higher than that of CYP3A5 expresser, which might be correlated with the higher TAC blood concentration in CYP3A5 nonexpresser. Besides, a severe adverse event was recorded in a patient with the CYP3A5 nonexpresser genotype who died of secondary pulmonary infection. Meanwhile, the result of the logistic regression analysis indicated that the blood concentration of TAC was the key risk factor for adverse reactions in our study. Therefore, therapeutic drug monitoring was essential to prevent side effect especially in patients with the CYP3A5 nonexpresser genotype. In addition, a patient with the expresser genotype exhibited TAC-related acute nephrotoxicity when the TAC concentration reached to 21ng/mL, and the renal function was improved along with the concentration decreased. This was consistent with the standpoint that acute kidney injury prevailed when TAC concentration was over 20 ng/mL.25 Our study also showed that the incidence of adverse effects increased by 5.19% for every 1ng/mL increase in TAC concentration. The increase of TAC concentration might be associated with a better achievement of treatment effect. However, the incidence of side effects was elevated. Therefore, the optimal dose was suggested to be further reduced in the CYP3A5 non-expressor group in IMN. The previous study by Tang et al also suggested that a low TAC starting dose could be safe to avoid the occurrence of side effects in Chinese renal transplantation recipients.26 Further studies are also needed to verify the satisfied concentration range of TAC which can achieve a therapeutic effect and minimize adverse effects.

There were some other limitations in this study, including the retrospective nature of the analysis and a small number of patients. Larger cohorts will be needed to confirm our findings. Furthermore, a short follow-up was likely to underestimate the remission rate since some patients might need more than 6 months to achieve remission of proteinuria. Previous studies demonstrated that anti-PLA2R antibody titers could respond faster than proteinuria to treatment.27,28 We observed that the decrease in anti-PLA2R antibody titers preceded proteinuria response in some patients. The anti-PLA2R antibody in the remission group usually turned negative within 3 months, while it remained abnormal at 6 months in no remission group. However, anti-PLA2R antibody was not listed as a routine testing item and only 20 patients had this data in the present study. Other factors might also influence the exposure of TAC, including co-administration of other drugs, such as angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blocker (ARBs), proton pump inhibitors (PPIs) and steroids. The potential interactions need to be investigated to predict the TAC dose more precisely. More specifically, a prospective study may be needed to further address these possible clinical consequences, which can be divided into four groups: CYP3A5 expressor group (0.05mg/kg), CYP3A5 non-expressor group (0.05mg/kg), CYP3A5 non-expressor group (0.04mg/kg), CYP3A5 non-expressor group (0.03mg/kg). The aim is to observe the time required for each group to reach the target concentration range and the times of drug adjustments, and to compare the difference in response rate and side effects between different concentration ranges <4ng/mL, 4–6ng/mL, 6–8ng/mL, 8–10ng/mL, >10ng/mL. Exploring the starting dose and targeting concentration based on CYP3A5 genotypes might be benefit for the IMN patients from the treatment of TAC. During the follow-up, the response rate of both anti-PLA2R-antibodies and proteinuria are valuable indicators to predict the treatment effect.

Our study paved the way for linking the genetic polymorphisms with the variability of TAC and treatment effect in IMN patients. The whole blood concentrations and C0/D ratio levels of TAC in IMN patients were not entirely determined by the dosage and they were also influenced by CYP3A5 genetic polymorphisms. Moreover, the adverse event was associated with blood concentration, C0/D levels. CYP3A5 expressor in IMN resulted in a need for a higher mean TAC daily dose to achieve the target drug exposure, but with fewer side effects. Therefore, CYP3A5 genetic polymorphism was warranted for TAC dosing adjustment to optimize the treatment for patients with IMN.