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Inhibitory effect of resveratrol on famitinib metabolism in vitro and in vivo
* Corresponding author: E-mail address: dr.jiling@foxmail.com (Ling Ji)
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Received: ,
Accepted: ,
Abstract
Famitinib is a tyrosine kinase inhibitor (TKI) that inhibits angiogenesis, thereby exerting anti-tumor effects. This study was the first to examine the potential impact of 52 traditional Chinese medicines and 75 additional pharmaceutical agents on famitinib metabolism. Furthermore, we sought to elucidate the inhibitory effect of resveratrol on the metabolism of famitinib and its inhibitory mechanism. In vitro findings revealed that 5 traditional Chinese medicines and 14 additional pharmaceutical agents inhibited famitinib metabolism by more than 80%. In vitro studies of resveratrol’s inhibitory effect on famitinib metabolism disclosed that the half-maximal inhibitory concentrations (IC50) were 11.83 and 8.05 μM in rat liver microsomes (RLM) and human liver microsomes (HLM), respectively. The inhibitory mechanisms in RLM and HLM were un-competitive and mixed inhibition, respectively. Co-administration of resveratrol and famitinib led to increases in AUC(0-t), AUC(0-∞), MRT(0-t), MRT (0-∞), t1/2, Cmax, and Tmax of famitinib by 1.03-, 1.21-, 0.48-, 0.91-, 0.96-, 0.62-, and 2.15-fold, respectively, while CLz/F was decreased by 56.4%. Moreover, MRT(0-t), MRT(0-∞), Tmax of the metabolite N-desethylfaminitib (SHR116637) were significantly increased 0.35-, 0.81-, and 1.86-fold, respectively. In vivo and in vitro results indicated that resveratrol inhibited the metabolism of famitinib. When famitinib is used concomitantly with resveratrol, clinicians must closely monitor the concentrations and adverse effects of famitinib and adjust the dosage as needed.
Keywords
Drug-drug interaction
Famitinib
Metabolism
Pharmacokinetic
Resveratrol

1. Introduction
Famitinib (Figure 1a) is a multi-target tyrosine kinase inhibitor (TKI) that targets the vascular endothelial growth factor and platelet-derived growth factor receptors [1, 2]. This affects the processes of tumor angiogenesis and proliferation and has the potential to enhance the antitumor response when used in conjunction with antitumor agents. TKI therapies have been used extensively to treat gastrointestinal stromal tumors (GIST), resulting in a notable improvement in survival outcomes [3]. However, drug resistance is inevitable. Famitinib is a novel TKI drug, and the results of in vitro studies have shown that it has some anti-gastric cancer cell activity, and may be used as a new GIST therapeutic agent in the future [1]. The clinical studies of drug-drug interaction (DDI) have employed famitinib and its major metabolite, N-desethylfaminitib (SHR116637, Figure 1b), as a mean of evaluation [4, 5]. Previous research has reported that unchanged famitinib circulates in vivo with a steady-state exposure of SHR116637 of 7.2% ∼ 7.5% of the parent drug [2]. In cancer patients, famitinib is well absorbed and extensively metabolized, with CYP3A4/5 and CYP1A1/2 being the primary CYP450 engaged in its metabolism, and SHR116637 is formed primarily via CYP3A4/5 [2, 5].

- Chemical structures of (a) famitinib, (b) N-desethylfaminitib (SHR116637), and (c) Almonertinib.
Cytochrome P450s (CYP450) are of great importance in the process of drug metabolism. CYP3A4 is the most prevalent CYP450 in the human body, with a metabolic function that accounts for ∼50% of clinically used drugs [6]. Inhibition of CYP3A4 by drugs usually leads to the development of DDI, which affects patient adherence to medication and may cause fatal toxicity [7]. As a novel antitumor agent with antiangiogenic and anticancer properties, famitinib frequently necessitates combination therapy with other pharmacological agents. [8, 9]. However, when multiple drugs are used in combination, especially when new drugs are included, DDI may often occur as a result of the lack of experience and the paucity of clinically relevant data. Currently, there are few studies on DDI with famitinib, and previous clinical studies have reported the possibility of DDI with the proton pump inhibitor, omeprazole, and the antifungal drug, itraconazole [4, 5]. Available data suggest that famitinib may cause potential DDI when combined with CYP450 inhibitors, especially inhibitors of CYP3A4/5 and CYP1A1/2 [2, 5].
Cancer patients frequently require a combination of medications to treat other concomitant diseases. In the case of multiple drug combinations, there is an increased likelihood of unexpected DDI in patients, as well as an increased risk of adverse reactions, leading to unnecessary economic losses or health risks [10-12]. The prospect of DDI becomes an inevitable challenge when traditional Chinese medicines are integrated into combination therapy for cancer and other diseases [13, 14]. There are fewer studies related to the combination of famitinib with other drugs, especially traditional Chinese medicines, and the likelihood of DDI is currently unclear. Therefore, there is a need for research on DDI to minimize the incidence of adverse effects and to help patients improve their quality of life.
The natural polyphenol compound resveratrol, derived from plants such as peanuts and grapes, has been demonstrated to have a variety of beneficial effects, which include cardiovascular protective effects, anticancer, anti-inflammatory, and antioxidant [15]. Current research has found that resveratrol demonstrates unique anticancer benefits in cancers associated with breast, kidney, lung, bladder, and thyroid cancers [16]. It has been demonstrated that resveratrol inhibits several CYP450, including CYP1A1/2, 1B1, 2B6, 2C9, 2C19, 2D6, and 3A4 [17-20]. The process of inhibition exerts an influence on the metabolic processes of substrates of CYP450 enzymes. The study reported that 50 mg/kg resveratrol inhibited the metabolism of the drug tofacitinib and increased the AUC(0-∞) of tofacitinib by 1.08-fold and Cmax by 1.60-fold in rats [21]. Additionally, resveratrol has been demonstrated to impede the metabolism of aripiprazole, an antipsychotic drug, and elevate the plasma levels of aripiprazole and certain pharmacokinetic parameters (Cmax and AUC) [19]. These studies suggested that resveratrol could significantly affect the metabolism of other drugs, potentially triggering adverse reactions. Considering the wide range of advantageous effects of resveratrol, it is extremely likely that combination therapy with famitinib will be performed to alleviate the clinical presentation of the patient. Given the correlation between these two drugs with respect to CYP450, further research is required to elucidate the probability of DDI.
The present study employed an ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method for the quantification of famitinib and SHR116637. Moreover, we examined the impacts of 52 traditional Chinese medicines and 75 additional pharmaceutical agents on the metabolism of famitinib in vitro. These drugs were selected on the basis of laboratory conditions and have the potential to influence drug metabolism. Meanwhile, we chose resveratrol, a common traditional Chinese medicine with strong metabolic inhibition ability, to further investigate its effect on the metabolism of famitinib and its underlying mechanism. The aim of this study was to identify drugs that may undergo DDI and will affect the metabolism of famitinib and to further elucidate the inhibitory effect and mechanism of action of resveratrol to minimize the potential adverse reactions.
2. Materials and Methods
2.1. Chemicals and reagents
Famitinib and N-desethylfaminitib (SHR116637) were sourced from Jiangsu Hengrui Pharmaceuticals Co., Ltd. (Jiangsu, China). Almonertinib (internal standard, IS, Figure 1c), 52 traditional Chinese medicines, and 75 additional pharmaceutical agents were procured from Shanghai Canspec Scientific Instruments Co., Ltd. (Shanghai, China). Detailed information on drugs as potential inhibitors can be found in the Table S1. Purity was ≥ 98% for each drug in this study. Reduced nicotinamide adenine dinucleotide phosphate (NADPH) was purchased from Shanghai Aladdin Biochemical Technology Co., Ltd. (Shanghai, China). Rat liver microsomes (RLM) were prepared in our laboratory. Human liver microsomes (HLM) were purchased from iPhase Pharmaceutical Services Co., Ltd. (Jiangsu, China). Ultrapure water was produced utilizing the Milli-Q water purification system (Millipore, Bedford, USA). Methanol and acetonitrile were provided by Merck Company (Darmstadt, Germany). Analytical grade or higher chemical solvents were used in the experiment.
2.2. Instrumentations and analytical conditions
The concentrations of famitinib and SHR116637 in the samples were accurately quantified by UPLC-MS/MS analysis. A Waters Acquity UPLC BEH C18 column (2.1 mm × 50 mm, particle size 1.7 μm) was used in the chromatographic system for separation, with the column temperature maintained at 40°C. The mobile phase, composed of 0.1% formic acid (mobile phase A) and acetonitrile (mobile phase B), was eluted at a gradient flow rate of 0.4 mL/min for a duration of 2.0 min. Quantification was conducted utilizing a Waters Xevo TQS triple quadrupole mass spectrometer (Milford, MA, USA) in positive ion mode with multiple reaction monitoring (MRM). The quantitative ion pairs and associated parameters for famitinib, SHR116637, and IS have been listed in Table 1. The mass transitions were m/z 411.14 → 338.38 for famitinib, m/z 383.11 → 338.06 for SHR116637, and m/z 526.01 → 72.04 for Almonertinib (IS).
| Compound | Parent (m/z) | Daughter (m/z) | Cone (V) | Collision (eV) |
|---|---|---|---|---|
| Famitinib | 411.14 | 338.38 | 30 | 17 |
| aSHR116637 | 383.11 | 338.06 | 20 | 15 |
| IS | 526.01 | 72.04 | 10 | 26 |
2.3. RLM preparation
The RLM preparation was executed following the protocol by previous study with appropriate modifications [22]. The preparation procedure was outlined below. Livers from six Sprague-Dawley rats were weighed and subsequently added to 0.1 M ice-cold potassium phosphate buffer (PBS), which also contained 0.25 mM sucrose. The livers were then crushed into homogenates. Subsequently, the homogenate was centrifuged at 11,000 rpm for 15 mins, and then the supernatant was transferred sequentially into freshly prepared centrifuge tubes. The centrifugation operation was repeated, and the newly obtained supernatant was transferred to a centrifuge tube. Finally, the supernatant was centrifuged at 75,600 × g for 2 h at 4°C. At the end of centrifugation, the supernatant was discarded, and the precipitate was resuspended by adding PBS, while on ice, to form a homogeneous solution. Protein concentration was ascertained by employing the Pierce BCA Protein Assay Kits (Thermo Scientific, Waltham, MA, USA).
2.4. The construction of the enzyme culture system and determination of Michaelis-Menten constant (Km)
The enzyme culture system has been constructed in previous studies [23]. Km was determined by utilizing the generation rate of SHR116637 as an indicator. The culture system (200 μL) culture system contained famitinib, PBS (0.1 M), NADPH (1 mM), and RLM/HLM (0.3 mg/mL). The concentrations of famitinib were 1, 2, 5, 10, 20, 50, 100, and 200 μM in RLM and 1, 10, 100, 150, 200, 250, 300, 350, and 400 μM in HLM. Following an initial pre-culture for 5 mins at 37°C and the addition of NADPH, the enzyme reaction was initiated. After 30 mins, the reaction was stopped by placing the culture system at -80°C. At the end of the reaction, the culture system was added with 400 μL of protein precipitant (acetonitrile) and 20 μL of IS (200 ng/mL) working solution. Subsequently, the mixture was vortexed for 2 mins and then subjected to centrifugation at 13,000 rpm for 10 mins at 4°C. Ultimately, 100 μL of the supernatant was analysed by UPLC-MS/MS. In the in vitro experiments, the initiation and termination of reactions, as well as sample handling and analysis procedures, were consistent with this section.
2.5. Assessing the likelihood of potential DDI in RLM
The generation of the metabolite SHR116637 was employed as a means of investigating the effects of the inhibitors on the metabolic process of famitinib. Relative activity is the ratio of SHR116637 production in the presence versus absence of the inhibitor. The 200 μL culture system comprised NADPH (1 mM), famitinib, inhibitor (100 μM), RLM (0.3 mg/mL), and PBS (0.1 M). The concentration of famitinib was determined based on its Km in RLM. A total of 52 traditional Chinese medicines and 75 additional pharmaceutical agents deemed to possess potential DDI capabilities were subjected to the screening experiments, the details of which have been provided in Table S1.
2.6. Study on the inhibitory mechanism of resveratrol on famitinib in vitro
The half-maximal inhibitory concentration (IC50) of resveratrol on the metabolism of famitinib was determined from a 200 μL culture system that included NADPH (1 mM), famitinib, resveratrol, PBS (0.1 M), and RLM/HLM (0.3 mg/mL). The gradient concentrations of resveratrol were 0, 0.01, 0.1, 1, 10, 25, 50, and 100 μM. The concentration of famitinib was determined by the Km in RLM and HLM, respectively.
The inhibition mechanism of famitinib by resveratrol was determined by a 200 μL culture system consisting of NADPH (1 mM), famitinib, resveratrol, PBS (0.1 M), and RLM or HLM (0.3 mg/mL). The concentration of famitinib was based on Km, and the concentration of resveratrol was based on IC50. In RLM, the concentrations of resveratrol were 0, 2.96, 5.92, and 11.83 μM, and the concentrations of famitinib were 2.93, 5.86, 11.71, and 23.42 μM. In HLM, the concentrations of resveratrol were 0, 4.03, 8.05 and 10.06 μM, while the concentrations of famitinib were 66.00, 99.00, 132.00, and 165.00 μM.
2.7. Effect of resveratrol on famitinib metabolism in vivo
The Animal Experimental Center of the First Affiliated Hospital of Wenzhou Medical University (Wenzhou, China) (Approval No. WYYY-IACUC-AEC-2024-044, dated 2024-05-07) provided 12 male Sprague-Dawley rats weighing 200 ± 20 g. The rats were randomly assigned to two groups: the control group (famitinib alone) and the experimental group (famitinib and resveratrol). Prior to the initiation of the experiment, the rats were deprived of food for a period of 12 h, with unrestricted access to water. Famitinib and resveratrol were suspended in corn oil for oral administration. The experimental and control groups were given equal volumes of 50 mg/kg resveratrol and corn oil, respectively. Half an hour later, all rats received 1.5 mg/kg famitinib via gavage. After administering famitinib, 0.3 mL of blood from the tail vein was collected at 1, 2, 4, 6, 8, 12, 24, 48, and 72 hrs. The collected blood samples were promptly processed by centrifugation at 8,000 rpm for 10 mins at 4°C. This process allowed for the separation of the supernatant. The supernatant (100 µL) was subsequently transferred to a new centrifuge tube and stored at -80°C. Following the complete thawing of the sample at room temperature, 10 μL of IS (200 ng/mL) working solution and 300 μL of acetonitrile were added and thoroughly vortexed to ensure complete protein precipitation. Subsequently, the sample was subjected to centrifugation at 13,000 rpm for 10 mins at 4°C. Finally, 100 μL supernatant was obtained for UPLC-MS/MS analysis.
2.8. Statistics
The GraphPad 9.0 software generated various pharmacological curves, including those of Km curve, the IC50 curve, the Lineweaver-Burk plot, and the mean plasma concentration-time curve. Non-compartmental mode of DAS 3.0 (BontzInc., Beijing, China) was employed to obtain pharmacokinetic parameters of famitinib and SHR116637. A student’s t-test was employed in SPSS (version 27.0; SPSS Inc., Chicago, IL, USA) to conduct statistical comparisons within groups. A p-value of less than 0.05 was considered statistically significant.
3. Results and Discussion
3.1. Determination of famitinib and SHR116637 by UPLC-MS/MS
Xie et al. reported the presence of two peaks in the ion chromatograms of famitinib and SHR116637 by LC-MS/MS and identified the latter peak as either famitinib or SHR116637 [2]. In the UPLC-MS/MS analysis, we utilized the latter peak for the quantification of both famitinib and SHR116637. The separation of all analytes in the assay was achieved without the interference of endogenous substances. A standard calibration curve was established with a correlation coefficient greater than 0.99, and a range of 0.1 to 20 ng/mL for both famitinib and SHR116637 was constructed.
3.2. DDI study of famitinib in RLM
Figure 2 demonstrates the Km of 11.71 and 132.00 μM for famitinib in RLM and HLM, respectively. Relative activity was used to compare the effects of these drugs with potential DDI on the metabolism of famitinib. Drugs with relative activity < 20% are considered to have strong metabolic inhibition and have potential for further study. Figure 3(a) and Figure 3(b), respectively, illustrate the distribution of inhibitory effects exerted by 52 traditional Chinese medicines and 75 additional pharmaceutical agents on famitinib metabolism. Figure 3(c) and Figure 3(d) showe the 5 traditional Chinese medicines and 14 additional pharmaceutical agents with relative activities < 20%, respectively. A comprehensive presentation of the relative activity of all drugs has been presented in Table S1.

- Michaelis-Menten curves of famitinib in (a) RLM and (b) HLM. (n = 3, data are presented as mean ± SD).

- Comparison of the inhibitory effects of different drugs (100 μM) on the metabolism of famitinib in RLM. (a) Scatter plots of relative activities of 52 traditional Chinese medicines and (b) 75 additional pharmaceutical agents. (c) Histogram of relative activity < 20% in traditional Chinese medicines and (d) additional pharmaceutical agents. The X-axis indicates different drugs. The red stars and bars are markers for resveratrol and were used for further research Relative activity is the ratio of metabolite production in the presence versus absence of the inhibitor. (n = 2, data are presented as mean ± SD).
3.3. Mechanistic study of resveratrol inhibition on famitinib metabolism in vitro
Table 2 provides a listing of the IC50 and inhibitory mechanism of resveratrol against famitinib. The IC50 curves and Lineweaver-Burk plot of resveratrol against famitinib have been displayed in Figures 4 and 5, respectively. The IC50 of resveratrol on famitinib was found to be 11.83 μM in RLM and 8.05 μM in HLM, respectively. The mechanism of inhibition in RLM was un-competitive inhibition with αKi of 1.13 μM. However, the mechanism of inhibition in HLM was mixed-type, consisting of un-competitive inhibition and non-competitive inhibition, having a Ki of 21.63 μM and an αKi of 5.07 μM.
| IC50 (μM) | Inhibition type | Ki (μM) | αKi (μM) | α | |
|---|---|---|---|---|---|
| RLM | 11.83 | Un-competitive inhibition | / | 1.13 | / |
| HLM | 8.05 | Mixed inhibition | 21.63 | 5.07 | 0.23 |

- IC50 curves of resveratrol on famitinib metabolism in (a) RLM and (b) HLM. n = 3, data are presented as mean ± SD.

- (i) Lineweaver-burk plot and (ii) secondary diagram of αKi inhibiting famitinib metabolism at different concentrations of resveratrol in (a) RLM. (i) Lineweaver-burk plot, (ii) secondary diagram of Ki and (iii) secondary diagram of αKi inhibiting famitinib metabolism at different concentrations of resveratrol in (b) HLM. (n = 3, data are presented as mean ± SD).
3.4. Effect of resveratrol on the pharmacokinetic parameters of famitinib in vivo
The pharmacokinetic parameters of famitinib and SHR116637 have been presented in Tables 3 and 4, respectively. Figure 6 illustrates the mean plasma concentration-time curves of famitinib and SHR116637 in Sprague-Dawley rats. The experimental results demonstrated that resveratrol increased the AUC(0-t), AUC(0-∞), MRT(0-t), MRT(0-∞), t1/2, Tmax, and Cmax of famitinib by 1.03-, 1.21-, 0.48-, 0.91-, 0.96-, 2.15-, and 0.62-fold, respectively, while CLz/F was decreased by 56.4%. In addition, resveratrol prolonged the MRT(0-t), MRT(0-∞) and Tmax of SHR116637 by 0.35-, 0.81-, and 1.86-fold, respectively, while there was no significant effect observed on other pharmacokinetic parameters. The findings indicated that resveratrol elevated plasma exposure of famitinib in Sprague-Dawley rats, with the potential to increase the risk of adverse effects.
| Parameters | Famitinib | Famitinib + Resveratrol |
|---|---|---|
| AUC(0-t) (ng/mL*h) | 309.82 ± 83.42 | 630.14 ± 145.86*** |
| AUC(0-∞) (ng/mL*h) | 320.19 ± 89.52 | 708.61 ± 168.76** |
| MRT(0-t) (h) | 19.42 ± 2.02 | 28.72 ± 3.73*** |
| MRT(0-∞) (h) | 22.55 ± 2.95 | 42.96 ± 10.49** |
| t1/2 (h) | 13.45 ± 3.64 | 26.42 ± 10.43* |
| Tmax (h) | 6.67 ± 1.63 | 21.00 ± 7.35*** |
| CLz/F (L/h/kg) | 5.11 ± 1.87 | 2.23 ± 0.56* |
| Vz/F (L/kg) | 92.80 ± 16.76 | 82.91 ± 28.05 |
| Cmax (ng/mL) | 12.69 ± 2.78 | 20.54 ± 4.25** |
AUC: Area under the plasma concentration-time curve, MRT: Mean retention time, t1/2: Elimination half time, Tmax: Peak time, Vz/F: Apparent volume of distribution, CLz/F: Plasma clearance, Cmax: Maximum plasma concentration. *p <0.05, **p <0.01, ***p <0.001, compared with the control group.
| Parameters | Famitinib | Famitinib + Resveratrol |
|---|---|---|
| AUC(0-t) (ng/mL*h) | 30.46 ± 8.26 | 28.71 ± 10.02 |
| AUC(0-∞) (ng/mL*h) | 32.69 ± 9.04 | 35.12 ± 9.92 |
| MRT(0-t) (h) | 23.65 ± 2.45 | 31.81 ± 1.68 *** |
| MRT(0-∞) (h) | 28.54 ± 3.31 | 51.79 ± 11.89 ** |
| t1/2 (h) | 16.93 ± 0.83 | 39.77 ± 21.80 |
| Tmax (h) | 7.33 ± 1.03 | 21.00 ± 7.35 ** |
| CLz/F (L/h/kg) | 48.62 ± 12.16 | 45.07 ± 10.29 |
| Vz/F (L/kg) | 1189.05 ± 317.46 | 2797.57 ± 1942.32 |
| Cmax (ng/mL) | 1.05 ± 0.30 | 0.78 ± 0.32 |
AUC: Area under the plasma concentration-time curve, MRT: Mean retention time, t1/2: Elimination half time, Tmax: Peak time, Vz/F: Apparent volume of distribution, CLz/F: Plasma clearance, Cmax: Maximum plasma concentration. *p <0.05, **p <0.01, ***p <0.001, compared with the control group.

- Mean plasma concentration–time curves of (a) famitinib and (b) its metabolite SHR116637 in Sprague-Dawley rats.
3.5. Discussion
CYP450 plays a central role in drug metabolism, by which the majority of clinically utilized drugs undergo metabolic processing [24]. Concomitant administration of multiple medications may result in inhibition of CYP450, leading to elevated levels of drug exposure and an increased risk of clinical adverse events [25]. Cancer patients typically require a plethora of medications to treat the myriad of symptoms that frequently accompany their illness [26]. A substantial number of pharmaceutical agents utilized in cancer treatment have been shown to induce elevated plasma concentrations of the drug due to CYP450 inhibition when employed in conjunction with other pharmaceutical agents [27]. This phenomenon has the capacity to precipitate deleterious consequences, an augmented financial burden, and a diminution in the overall health-related quality of the patient’s life.
Famitinib has emerged as a promising TKI for treating GIST, kidney cancer, and lung cancer. Previous studies have reported dose-limiting toxicity associated with the ingestion of high doses of famitinib [28]. The toxicity of the drug is associated with excessive drug exposure. The metabolism of famitinib is impacted by CYP450 inhibition. One study reported that itraconazole, a CYP3A inhibitor, significantly increased the AUC(0-t) and Cmax for famitinib by approximately 77.7% and 40.6%, respectively, and prolonged t1/2 to 48.24 h [5]. There are fewer studies on DDI of famitinib. Therefore, further studies are necessary to reduce the risk of adverse effects due to DDI.
The initial screening process involved the evaluation of 52 traditional Chinese medicines and 75 additional pharmaceutical agents for their inhibitory effects. These drugs may be used in combination therapy for cancer patients to enhance anticancer effects or improve patient quality of life. For example, resveratrol has cardiovascular protective effects, anti-inflammatory, antioxidant, and anticancer capabilities, with great potential for combination use [15]. However, the ability of these drugs to inhibit famitinib metabolism is unclear. Thus, it is necessary to study the possibility of a potential DDI. Our results showed that 5 traditional Chinese medicines and 14 additional pharmaceutical agents exhibited relative activities below 20%, suggesting that these drugs had a greater ability to inhibit famitinib metabolism and had a greater propensity for inducing potential DDI. To our knowledge, heterocyclic nitrogen atoms in the structures of the antifungal drugs ketoconazole, isavuconazole, fluconazole, and posaconazole inhibit the enzyme activity by directly binding to iron atoms in CYP3A4 hemoglobin and are important factors influencing the metabolism of famitinib. This structural feature may be an important factor influencing CYP3A4. Among 52 traditional Chinese medicines, the relative activities of honokiol, myricetin, and resveratrol were 8.34%, 12.09%, and 18.18%, respectively. Given the strong inhibitory capacity of resveratrol in the screening experiments and its broad antitumor effects with potential for clinical combination use, further studies were conducted to elucidate its effect on famitinib metabolism.
The biological activities of resveratrol have been demonstrated to include anti-cancer, anti-inflammatory, cardiovascular protective, anti-diabetic, and neuroprotective effects [29]. A substantial body of current literature indicates that the inhibition of resveratrol on CYP450 results in increased plasma drug concentrations of co-administered other drugs. Resveratrol has been reported to significantly increase AUC, Cmax, and t1/2, while also markedly decreasing CLz/F of carbamazepine [30]. Another study in healthy human volunteers showed that resveratrol caused significant increases in AUC, Cmax, and t1/2 was accompanied by a pronounced reduction in CLz/F for diclofenac [31]. It was proposed that the inhibition of CYP3A4 and CYP2C9 in healthy subjects by resveratrol was the underlying cause of the observed metabolic inhibition of carbamazepine and diclofenac. Current evidence suggested that resveratrol may affect drug metabolism by inhibiting CYP450, which may result in an increased risk of adverse effects. Additionally, there is currently a lack of relevant studies that examine the impact of resveratrol on famitinib metabolism. Thus, it is imperative that further studies be conducted to elucidate the DDI.
In vitro findings demonstrated that resveratrol impeded the metabolic conversion of famitinib. The IC50 for resveratrol was 11.83 μM in RLM and 8.05 μM in HLM, indicating its inhibitory effect on famitinib metabolism. Furthermore, the inhibitory effect of resveratrol on famitinib in RLM and HLM were found to be un-competitive inhibition and mixed-type inhibition (un-competitive and non-competitive inhibition), respectively. Differences in CYP450 caused by inter-species differences are the main reason for the different inhibitory mechanisms of RLM and HLM. CYP3A is predominantly CYP3A4/5 in human liver, whereas in rat liver, it is CYP3A1/2 [32]. The different enzyme catalytic activities of RLM and HLM may also be responsible for the different IC50 and inhibition mechanisms [32]. In addition, resveratrol seems to inhibit different drugs by different mechanisms. Previous studies reported that resveratrol inhibited the metabolism of tofacitinib in RLM and HLM; however, the mechanism of inhibition was non-competitive inhibition [21]. The reasons for this discrepancy are unclear and require further research. Notably, resveratrol also has an inhibitory metabolic effect on erlotinib, another TKI. Therefore, resveratrol may also have inhibitory effects on other TKIs, and in-depth studies need to be conducted in the future [33]. The results of the in vivo study indicated a notable escalation in AUC, MRT, Cmax, Tmax, and t1/2, and a significant reduction in CLz/F for famitinib when combined with resveratrol. This may be attributed to the inhibitory effect of resveratrol on CYP3A4, which affects the metabolism of famitinib [19, 20]. The inhibition of famitinib metabolism by resveratrol may be responsible for significant alterations in the pharmacokinetics parameters of famitinib. Tofacitinib metabolism also undergoes CYP3A4, and the results are consistent with famitinib, which is inhibited by resveratrol [21]. Moreover, an obvious increase in Tmax of the metabolite SHR116637 occurred in combination with resveratrol. Famitinib is metabolized into SHR116637 by CYP3A4, and the significant change in Tmax may be due to the inhibition of SHR116637 metabolism by resveratrol. These significant alterations in pharmacokinetic parameters suggested that increased plasma exposure of famitinib occurs in vivo and that resveratrol may cause famitinib to lead to more serious adverse reactions. The rat’s CYP450 is similar to that of humans and is a plausible pharmacokinetic model. However, given the interspecies differences, further studies must be conducted in humans [34].
This study has identified the potential DDI when famitinib is combined with traditional Chinese medicines and additional pharmaceutical agents. The results of the study suggest that concomitant administration of famitinib and resveratrol carries a greater risk of DDI and increases the likelihood of adverse reactions. If concomitant medication cannot be avoided, clinicians should closely monitor drug concentrations and adverse effects and adjust drug dosages if necessary.
4. Conclusions
In this study, the concentrations of famitinib and its metabolite SHR116637 were accurately and quickly detected by UPLC-MS/MS analysis. The IC50 of resveratrol on famitinib metabolism in RLM and HLM were 11.83 and 8.05 μM, respectively, and the inhibitory mechanisms were un-competitive inhibition and mixed inhibition, respectively. Pharmacokinetic results showed that resveratrol significantly increased the AUC(0-t), AUC(0-∞), MRT(0-t), MRT(0-∞), t1/2, Tmax, and Cmax of famitinib by 1.03-, 1.21-, 0.48-, 0.91-, 0.96-, 2.15-, and 0.62-fold, respectively, and significantly decreased CLz/F by 56.4%. Resveratrol inhibited both in vitro and in vivo metabolism of famitinib, indicating that the combination of the two required close monitoring of plasma concentrations and adverse effects of famitinib, and adjustment of the administered dose if necessary.
Acknowledgment
The authors thank Ren-ai Xu for his help and support in this work. In addition, the authors thank Jiangsu Hengrui Pharmaceuticals Co., Ltd. (Jiangsu, China) for providing reagent for this study.
CRediT authorship contribution statement
Hailun Xia: Investigation and Writing–Original draft preparation. Hualu Wu: Data Curation and Validation. Fengsheng Hong: Methodology and Supervision. Haoxin Fu: Resources and Visualization. Peiqi Wang: Conceptualization and Formal analysis. Ling Ji: Writing–Review and Editing, Resources and Project administration.
Declaration of competing interest
The authors declare that there is no competing of interest.
Declaration of Generative AI and AI-assisted technologies in the writing process
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Supplementary data
Supplementary material to this article can be found online at https://dx.doi.org/10.25259/AJC_16_2024.
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