- Research article
- Open access
- Published:
Effect of changes in skin properties due to diabetes mellitus on the titration period of transdermal fentanyl: single-center retrospective study and diabetic animal model study
Journal of Pharmaceutical Health Care and Sciences volume 10, Article number: 80 (2024)
Abstract
Background
In the dose titration of transdermal fentanyl to prevent unrelieved pain, it is important to consider not only dose adjustment, but also the titration period, which is influenced by the time required to reach the steady state. Many patients with cancer pain experience comorbidities that might affect the skin properties and influence transdermal absorption. We hypothesized that skin changes due to diabetes mellitus (DM) would affect the titration period of transdermal fentanyl. We conducted a retrospective study and diabetic animal model study to test this hypothesis.
Methods
In the retrospective study, the titration period was defined in terms of “dose change” and “number of rescue opioids” in patients initiated on transdermal fentanyl. Multiple logistic regression analysis was performed to analyze the relation between the titration period and comorbidities, including DM. In the diabetic animal model study, intercellular lipids of stratum corneum (SC) were analyzed in Goto-Kakizaki (GK) rats, a model of DM, and the pharmacokinetics of intravenously or transdermally administered fentanyl was examined.
Results
In the retrospective study, the titration period ranged from 5 to 39 days (n = 387), and the patients taking a longer period (6 days or more) was significantly related to in patients with unspecified DM: AOR (95% confidence interval), 0.438 (0.217–0.884). In the diabetic animal model study, the ceramides (CERs) content in the SC was decreased by approximately 30% in GK rats compared to Wistar rats. The absorption rate constant (ka) of fentanyl administered transdermally was increased approximately 1.4-fold in GK rats, though there was no difference in transdermal bioavailability (F) or systemic clearance (CLtot).
Conclusion
Our results suggest that the steady state of transdermally administered fentanyl is reached sooner in cancer patients with DM as a comorbidity. Earlier pain assessment and dose adjustment may be possible in these patients.
Background
Transdermal fentanyl relieves moderate to severe cancer pain and chronic pain [1, 2]. Unrelieved pain impacts all dimensions of quality of life [3], so needs to be controlled rapidly after switching from other opioids to transdermal fentanyl. However, due to the opioid-specific adverse effects [1, 2] and a large inter-individual variability in drug release from the transdermal formulation [4, 5], the dose must be carefully titrated. Therefore, factors related to transdermal fentanyl dose at the steady state, including gender, age, body mass index (BMI), and serum albumin, have been investigated [6,7,8,9,10], but so far there is little information on factors affecting the titration period.
There is a relationship between blood fentanyl concentration and the extent of pain relief [11, 12], and the dose titration period of transdermal fentanyl is influenced by the time required for the blood concentration to reach a steady state. The disposition of transdermal fentanyl is described by a one-compartment distribution model with first-order absorption and elimination, and follows flip-flop kinetics [13,14,15,16], where the half-life depends on the absorption rate constant (ka). The rate-limiting step in transdermal absorption is diffusion through the stratum corneum (SC), the outermost layer of the skin [17, 18]. The SC consists of corneocytes embedded in a lipid matrix, which acts as the main barrier to diffusion of substances through the skin [19].
More than half of cancer patients have at least one comorbidity [20, 21]. Cancer and diabetes mellitus (DM) are prevalent globally and are frequently diagnosed in the same individual [22, 23]. In addition, many diabetic patients experience cutaneous complications [24], such as diabetic ulcers due to impaired healing [25]. Furthermore, diabetic animal models, such as Otsuka Long-Evans Tokushima Fatty (OLETF) rats and db/db mice, show decreased levels of intercellular lipids in the SC even in non-injured skin [26, 27]. Such lipid changes may affect the permeation of drugs.
We hypothesized that skin changes due to comorbidities, including DM, would affect the dose titration period of transdermal fentanyl. To test this hypothesis, we carried out a retrospective study in cancer patients and a diabetic animal model study to investigate the titration period and the pharmacokinetics of transdermal fentanyl.
Methods
Retrospective study
Patients who initiated treatment with 24 h-fentanyl citrate formulation (Fentos tape) between Apr 1, 2015, and Mar 31, 2019, at Kanazawa University Hospital were enrolled. Exclusion criteria are shown in Fig. 1. The survey items were gender, age, height, weight, BMI, serum albumin (before treatment), comorbidities listed on the physician's problem list (including history), initial dose of transdermal fentanyl, and the titration period. Comorbidities were coded using the International Classification of Diseases 10th Revision (ICD-10) ver. 2014 three-character categories (A00-Q99). For cancer metastases, four-character subcategories were used (C78.0-C79.9). The titration period was defined as the time until two criteria, “no dose change for 5 days” and “rescue opioids within 3 times per day” were both met. The half-life of fentanyl after removal of the transdermal formulation is 21.9 ± 8.9 h (mean ± S.D.) [28], so that the steady state should be reached in about 5 days. Furthermore, the European Society for Medical Oncology (ESMO) guidelines recommends baseline opioid adaptations if rescue opioids are needed more than 4 times per day [2].
Flowchart of analysis in the retrospective study. In total, 733 patients were enrolled, and 387 patients were analyzed. Among them 261 patients showed a titration period of within 5 days, and 261 showed a titration period of 6 days or more. a Inducers or inhibitors of CYP3A4 used in excluded patients were as follows: carbamazepine, enzalutamide, mitotane, phenobarbital, phenytoin, rifampicin, amiodarone, cobicistat, clarithromycin, diltiazem, fluvoxamine, indinavir, itraconazole, nelfinavir, saquinavir, ritonavir, and voriconazole
Chemicals
Fentanyl citrate injection and fentanyl citrate formulation (Fentos tape) were purchased from Terumo Corporation (Tokyo, Japan), and Kyowa Kirin Co., Ltd. (Tokyo, Japan), respectively. Isoflurane was purchased from Viatris Inc. (Canonsburg, PA, USA). Epilat hair removing cream was purchased from Kracie Ltd. (Tokyo, Japan). Trypsin from bovine pancreas was purchased from Sigma-Aldrich Co. LLC (St. Louis, MO, USA). Norfentanyl-D5 oxalate and papaverine hydrochloride were purchased from Sigma-Aldrich Co. LLC (St. Louis, MO, USA) and Nacalai tesque (Kyoto, Japan), respectively. All other chemicals were of analytical or high-performance liquid chromatography (HPLC) grade.
Animals
Goto-Kakizaki (GK) rats as a diabetic animal model [29] and Wistar rats as controls were purchased at 10 weeks old from Japan SLC (Hamamatsu, Japan). GK rats were fed a low protein/high carbohydrate diet (LABO MR-DBT, Nosan Corporation, Yokohama, Japan) and Wistar rats were fed a standard diet until experiments at 12–14 weeks old. Diets were provided ad libitum. Non-fasting blood glucose levels were measured using Glutest Neo Alpha (Sanwa Kagaku Kenkyusho, Nagoya, Japan). The hairs on the lateral abdominal skin were removed by treatment with hair removal cream at least 1 h before the experiments.
Analysis of skin parameters and intercellular lipids of SC in rats
Transepidermal water loss (TEWL), SC hydration, and surface pH in the lateral abdominal skin were measured under isoflurane anesthesia using a Tewameter TM300MP, Corneometer CM825, and Skin-pH-Meter PH905, respectively (Courage + Khazaka electronic GmbH, Köln, Germany). Each value was calculated as the mean of three individual measurements. The SC sheet was separated from the lateral abdominal skin by treatment with 0.1% (w/v) trypsin in water for 21 h at 4ºC and 5 h at 37ºC. Free fatty acids (FFAs), ceramides (CERs), and cholesterol (CHOL) in the SC were measured as described previously [30]. CERs was calculated for a total of 12 CER subclasses [19].
Intravenous and transdermal administration of fentanyl in rats
For intravenous administration, fentanyl citrate injection diluted in saline (10 µg fentanyl/2 mL/kg body weight) was injected via the jugular vein over a period of 10 s under isoflurane anesthesia. Blood samples (100 µL) were collected from the jugular vein using a heparin-coated syringe at 1, 5, 10, 20, 30, 60, 120, 180, and 300 min. For transdermal administration, one-fourth of 1 mg fentanyl citrate formulation (160 µg fentanyl) was applied to the lateral abdominal skin and blood samples were collected at 1, 2, 4, 8, 12, 24, 30, 48 h. The formulation was removed at 24 h and stored at 4ºC until analysis. The blood samples were centrifuged, and plasma samples were stored at -80ºC until analysis.
Analysis of fentanyl in the blood samples and the formulation
Plasma fentanyl concentration was measured as described, with some modifications [31]. Briefly, a mixture of plasma sample, internal standard (IS, norfentanyl-D5), and acetonitrile was centrifuged, then the supernatant was evaporated to dryness under a nitrogen stream and reconstituted with the mobile phase, 0.1% (v/v) formic acid in water (solvent A)/0.1% (v/v) formic acid in acetonitrile (solvent B) (90:10). A Shimadzu HPLC system and LCMS-8045 (Shimadzu, Tokyo, Japan) were used and the analytical column (TSKgel ODS-100 V, 3 µm, 75 × 2.0 mm I.D., Tosoh, Tokyo, Japan) was maintained at 40ºC. The gradient was 0 min (10% solvent B)-2 (10%)-8 (70%)-8.01 (100%)-11 (100%)-11.01 (10%)-14 (10%), for 14 min per sample. Fentanyl and IS were monitored at 337.49/188.20 and 238.20/84.15, respectively.
Fentanyl in the formulation was measured by HPLC–UV. The formulation was soaked in methanol/acetonitrile (1:3) containing IS (papaverine) and sonicated at 36ºC, 38 kHz for 70 min. A Shimadzu HPLC–UV system was used with the analytical column (µBondasphere, PH 5 µm, 300 A, 150 × 3.9 mm, Waters Corporation, Milford, MA, USA) maintained at 40ºC, and isocratic mode was used in 0.1% (v/v) formic acid water/acetonitrile (70:30). UV absorption was monitored at 195 nm.
Estimation of pharmacokinetic parameters
Pharmacokinetic parameters of fentanyl were estimated by model-independent moment analysis using Napp version 2.01 software [32]. Transdermal bioavailability (F) was calculated by dividing the area under the curve after transdermal administration (AUCtd,0-∞) obtained from each animal by the mean AUC after intravenous administration (AUCiv,0-∞) corrected for the dose of fentanyl. The ka of fentanyl administered transdermally was optimized by fitting data obtained after intravenous administration (elimination rate constant, ke; and volume of distribution at steady state, Vdss) and transdermal administration (dose; concentration–time profile; and F) to a one-compartment model provided in the software. Fentanyl release ratio from the formulation (Fa) and skin availability (Fskin) were calculated as follows:
where Xused and Xunused represent the residual amount of fentanyl in the formulation removed from the rats and the amount of fentanyl in the unused formulation, respectively.
Statistical analysis
Patients were classified into two groups: those with a titration period within 5 days and those with a titration period of 6 days or more. Univariate logistic regression analysis was performed for gender, age, BMI, albumin concentration, initial dose, and comorbidities. The adjusted odds ratio (AOR) was calculated by multivariate logistic regression analysis for factors showing p < 0.1 in the univariate analysis. In the diabetic animal model study, the two groups were compared with an unpaired t-test. The analysis software was IBM SPSS ver. 27 (IBM, Armonk, NY, USA) and the significance level was set at p < 0.05.
Results
Relation between the titration period of transdermal fentanyl and DM as a comorbidity in the retrospective study
In the 387 patients analyzed (Fig. 1), the distribution of the titration period is shown in Fig. 2. Patients who showed the titration period of more than 5, 10, and 15 days amounted to 32.6%, 7.0%, and 2.1%, respectively, and the longest titration period was 39 days. Table 1 shows the patient backgrounds. The 150 comorbidities extracted are shown in Table S1. The most frequent cancer types involved the digestive organs (48.6%), lip, oral cavity and pharynx (18.1%), and respiratory and intrathoracic organs (12.7%), and there were only two non-cancer patients. The most frequent comorbidity groups were circulatory system diseases (41.1%), digestive system diseases (38.0%), and endocrine, nutritional and metabolic diseases (36.4%). DM was classified as type 2 (2.8%) or unspecified (17.1%).
In univariate analysis, no relation was observed between the titration period of 6 days or more and gender, age, BMI, serum albumin, or initial dose (Table 2). Twelve comorbidities with p < 0.1 in univariate analysis were included in the multivariate analysis, which confirmed that AOR for a titration period of 6 days or more was decreased in patients with unspecified DM (E14), AOR (95% confidence interval), 0.438 (0.217–0.884), while it was increased in patients with aortic aneurysm and dissection (I71), 4.590 (1.008–20.905).
Biochemical parameters, skin parameters, and intercellular lipids of SC in GK and Wistar rats
Non-fasting blood glucose level and body weight in GK rats (mean ± S.D., 437 ± 89 mg/dL and 339 ± 17 g) were significantly higher than those in Wistar rats (165 ± 29 mg/dL and 305 ± 10 g), respectively (n = 10, p < 0.05).
No significant difference was observed in non-invasive skin parameters such as TEWL, SC hydration and surface pH between GK and Wistar rats (Figs. 3A-C). However, the composition of intercellular lipids of SC was significantly different, with the CERs content being approximately 30% lower in GK rats than in Wistar rats (Figs. 3D-F).
Skin parameters and intercellular lipids of SC in GK and Wistar rats. Transepidermal water loss (TEWL) (A), stratum corneum (SC) hydration (B), and surface pH (C) in the lateral abdominal skin were analyzed as skin parameters. As intercellular lipids of SC, the contents of free fatty acids (FFAs) (D), ceramides (CERs) (E), and cholesterol (CHOL) (F) were analyzed. Data are expressed as dots for individual values and bars for mean ± S.D. (n = 4–6)
Pharmacokinetic parameters of fentanyl after intravenous and transdermal administration in GK and Wistar rats
Plasma concentration–time profile and pharmacokinetic parameters after intravenous administration of fentanyl (10 µg/kg) in GK and Wistar rats are shown in Fig. 4A and Table 3. After intravenous administration, no significant difference was observed in AUC0-∞, systemic clearance (CLtot), ke, or Vdss between GK and Wistar rats.
Plasma fentanyl concentration after intravenous and transdermal administration in GK and Wistar rats. Fentanyl citrate injection (10 µg/kg body weight as fentanyl) was administered intravenously to GK (open circle) and Wistar (closed circle) rats (A). Fentanyl citrate formulation (160 µg as fentanyl) was applied to the lateral abdominal skin and the formulation was removed at 24 h (B). Data are expressed as mean ± S.D. (n = 5)
Plasma concentration–time profiles and pharmacokinetic parameters after transdermal administration of fentanyl (160 µg) in GK and Wistar rats are shown in Fig. 4B and Table 3. After transdermal administration, no significant difference was observed in peak concentration (Cmax), AUC0-∞, transdermal clearance (CLtot/F), F, or Fskin between GK and Wistar rats. However, in GK rats, the peak time (Tmax) was significantly shortened by approximately 50%, and Fa was significantly increased by approximately 10% compared to Wistar rats. The ka in GK rats was significantly higher by approximately 1.4-fold than that in Wistar rats.
Discussion
To prevent unrelieved pain and improve quality of life, it is important to consider not only the dose, but also the titration period in the dose titration of transdermal fentanyl. We hypothesized that skin changes due to comorbidities would affect the titration period of transdermal fentanyl. Many patients diagnosed with cancer also have DM [22, 23], and DM can alter skin properties [24, 26, 27, 33]. In this study, therefore, we especially focused on DM as a comorbidity and conducted a retrospective study and a diabetic animal model study.
In the retrospective study, the titration period of transdermal fentanyl was defined in terms of “dose changes” and “number of rescue opioids”, not pain intensity, and showed a large inter-individual variability (range: 5–39 days). This is consistent with a report that defined the time to achieve stable pain control with various opioids in terms of “pain intensity” and “number of rescue opioids”, obtaining a median time ranging from 4–22 days for mild to severe pain [34]. On the other hand, logistic regression analysis in the retrospective study indicated that the titration period was shorter in patients with unspecified DM. Possible reasons include effects on transdermal absorption due to changes of skin properties in DM [24] and on pain perception due to diabetic neuropathy [35], but it has not been established whether there is a causal relationship.
The retrospective study has a number of limitations, including lack of validation of the titration period evaluation criteria, the absence of plasma fentanyl concentration–time data, the entry of patients from a single center, the lack of adjustment for patient background factors, unspecified severity of comorbidities, and unknown effects of cancer chemotherapy on the skin. Additionally, since the time to reach steady state was estimated to be 5 days, the minimum period for follow-up, the effects on a shorter time scale could not be evaluated.
To test the hypothesis that skin changes due to DM would affect the titration period of transdermal fentanyl, GK rats were used as a diabetic animal model. The skin barrier function, measured in terms of TEWL, SC hydration and surface pH, differs in diabetic patients and diabetic models depending on the duration of DM onset and the severity of DM [24, 26, 27, 33]. In the GK rats used in this study, no changes in these parameters in the lateral abdominal skin were observed compared to Wistar rats, suggesting that the model in this study was an early-stage diabetic model.
The intercellular lipids of SC have a role as a skin barrier, and FFAs, CERs, and CHOL are present in approximately equimolar ratio [19]. We found that the CERs content was decreased in the lateral abdominal skin of GK rats compared to Wistar rats, whereas the levels of FFAs and CHOL were unchanged. In other diabetic animal models, OLETF rats and db/db mice, a decrease in relative mRNA expression of serine palmitoyl transferase, an enzyme related to CERs biosynthesis, was reported [26, 27]. On the other hand, a decrease of approximately 30% in CERs content has also been observed in atopic dermatitis (AD) [36]. Studies in model membranes that mimic AD indicate that the alteration in composition affects the lateral packing of lipids, the structure of drug permeation pathways and the permeability of ethyl p-aminobenzoate [37, 38]. Therefore, alterations in intercellular lipids of SC could affect the transdermal absorption of fentanyl.
In the pharmacokinetic experiments in rats, optimized ka after transdermal administration was lower than ke after intravenous administration, which is consistent with the observation of flip-flop kinetics in humans [13,14,15,16]. Generally, the steady state is reached in about five times the half-life, which is dependent on the elimination half-life of the drug and is inversely proportional to ke. However, in the case of very slow absorption from the administration site, so-called flip-flop kinetics may be observed in which the apparent terminal half-life is dependent on ka. Under this condition (ka < ke), the half-life is inversely proportional to ka. In GK rats, ka was significantly higher and Tmax was significantly shorter after transdermal administration compared to Wistar rats, although no difference was observed in CLtot after intravenous administration. These results suggest that fentanyl rapidly reaches the steady state during repeated transdermal administration in DM and support the findings in the retrospective study in humans.
To investigate the steps that affect the transdermal absorption of fentanyl in GK rats, Fa and Fskin were calculated. Fa is commonly used in the assessment of transdermal fentanyl, reflecting distribution from the formulation to the SC [4, 5, 39,40,41]. On the other hand, Fskin, the fraction absorbed through the skin, could be affected by reservoir effects, binding, and metabolism in the skin [42,43,44,45]. The higher value of Fa in GK rats compared to Wistar rats, despite the lack of difference in Fskin, suggests that the decrease of CERs content in GK rats was one of factors contributing to an increase in the distribution of fentanyl from the formulation to the SC.
A further possible issue is that DM patients may be using skincare products containing CERs to improve their skin condition. This might increase the content of CERs in the SC, and at least partially reverse the increase of ka and the shortened titration period of fentanyl after transdermal administration. However, the effects of supplementing CERs on transdermal absorption of fentanyl are currently unknown, and further investigation is needed.
This study focused on type 2 DM, because no patient with type 1 DM was identified in this retrospective study and because type 2 DM accounts for approximately 90% of all DM [24, 46]. However, the prevalence of type 1 DM is increasing [46], and skin disorders are observed in type 1 DM as well as type 2 DM [47]. Thus, type 1 DM may also affect the transdermal absorption of fentanyl, though further investigation will be needed to confirm this.
A shorter titration period of transdermal fentanyl would contribute to improving patients’ quality of life. However, in clinical practice the dose is titrated after an interval of several days, because a long time is required to reach the steady state. Our findings indicate that the steady state is reached earlier in DM, so that it may be feasible to carry out pain assessment and dose adjustment of fentanyl at an earlier time point in cancer patients with DM as a comorbidity.
Conclusion
Our results indicate that transdermally administered fentanyl reaches the steady state earlier in DM. For rapid pain relief in cancer patients with DM, transdermal fentanyl dose adjustment of fentanyl may be feasible at an earlier time point than in cancer patients without DM.
Data availability
The data analyzed in this study are available from the corresponding author on reasonable request.
Abbreviations
- AD:
-
Atopic dermatitis
- AUC:
-
Area under the curve
- AOR:
-
Adjusted odds ratio
- BMI:
-
Body mass index
- CERs:
-
Ceramides
- CHOL:
-
Cholesterol
- CI:
-
Confidence interval
- CYP:
-
Cytochrome P450
- C max :
-
Peak concentration
- CL tot :
-
Systemic clearance
- CL tot/F :
-
Transdermal clearance
- DM:
-
Diabetes mellitus
- ESMO:
-
European Society for Medical Oncology
- F :
-
Transdermal bioavailability
- F a :
-
Fentanyl release ratio from the formulation
- FFAs:
-
Free fatty acids
- F skin :
-
Skin availability
- GK rats:
-
Goto-Kakizaki rats
- HPLC:
-
High-performance liquid chromatography
- ICD-10:
-
International Classification of Diseases 10th Revision
- IS:
-
Internal standard
- k a :
-
Absorption rate constant
- k e :
-
Elimination rate constant
- OLETF rats:
-
Otsuka Long-Evans Tokushima Fatty rats
- OR:
-
Odds ratio
- SC:
-
Stratum corneum
- TEWL:
-
Transepidermal water loss
- T max :
-
Peak time
- Vd ss :
-
Volume of distribution at the steady state
References
Mercadante S, Bruera E. Opioid switching: a systematic and critical review. Cancer Treat Rev. 2006;32:304–15.
Fallon M, Giusti R, Aielli F, Hoskin P, Rolke R, Sharma M, et al. Management of cancer pain in adult patients: ESMO Clinical Practice Guidelines. Ann Oncol. 2018;29:iv166-91.
Paice JA, Ferrell B. The management of cancer pain. CA Cancer J Clin. 2011;61:157–82.
Fiset P, Cohane C, Browne S, Brand SC, Shafer SL. Biopharmaceutics of a new transdermal fentanyl device. Anesthesiology. 1995;83:459–69.
Solassol I, Caumette L, Bressolle F, Garcia F, Thézenas S, Astre C, et al. Inter- and intra-individual variability in transdermal fentanyl absorption in cancer pain patients. Oncol Rep. 2005;14:1029–36.
Holdsworth MT, Forman WB, Killilea TA, Nystrom KM, Paul R, Brand SC, et al. Transdermal fentanyl disposition in elderly subjects. Gerontology. 1994;40:32–7.
Heiskanen T, Mätzke S, Haakana S, Gergov M, Vuori E, Kalso E. Transdermal fentanyl in cachectic cancer patients. Pain. 2009;144:218–22.
Nomura M, Inoue K, Matsushita S, Takahari D, Kondoh C, Shitara K, et al. Serum concentration of fentanyl during conversion from intravenous to transdermal administration to patients with chronic cancer pain. Clin J Pain. 2013;29:487–91.
Barratt DT, Bandak B, Klepstad P, Dale O, Kaasa S, Christrup LL, et al. Genetic, pathological and physiological determinants of transdermal fentanyl pharmacokinetics in 620 cancer patients of the EPOS study. Pharmacogenet Genomics. 2014;24:185–94.
Kuip EJM, Zandvliet ML, Koolen SLW, Mathijssen RHJ, van der Rijt CCD. A review of factors explaining variability in fentanyl pharmacokinetics; focus on implications for cancer patients. Br J Clin Pharmacol. 2017;83:294–313.
Gourlay GK, Kowalski SR, Plummer JL, Cousins MJ, Armstrong PJ. Fentanyl blood concentration-analgesic response relationship in the treatment of postoperative pain. Anesth Analg. 1988;67:329–37.
Nakamura A, Hasegawa M, Ito H, Minami K, Koike K, Habu-Tomita N, et al. Distinct relations among plasma concentrations required for different pharmacological effects in oxycodone, morphine, and fentanyl. J Pain Palliat Care Pharmacother. 2011;25:318–34.
McClain DA, Hug CC. Intravenous fentanyl kinetics. Clin Pharmacol Ther. 1980;28:106–14.
Kokubun H, Ebinuma K, Matoba M, Takayanagi R, Yamada Y, Yago K. Population pharmacokinetics of transdermal fentanyl in patients with cancer-related pain. J Pain Palliat Care Pharmacother. 2012;26:98–104.
Lane ME. The transdermal delivery of fentanyl. Eur J Pharm Biopharm. 2013;84:449–55.
Bista SR, Haywood A, Hardy J, Norris R, Hennig S. Exposure to Fentanyl After Transdermal Patch Administration for Cancer Pain Management. J Clin Pharmacol. 2016;56:705–13.
Peng PWH, Sandler AN. A Review of the Use of Fentanyl Analgesia in the Management of Acute Pain in Adults. Anesthesiology. 1999;90:576–99.
Kalia YN, Guy RH. Modeling transdermal drug release. Adv Drug Deliv Rev. 2001;48:159–72.
van Smeden J, Janssens M, Gooris GS, Bouwstra JA. The important role of stratum corneum lipids for the cutaneous barrier function. Biochim Biophys Acta Mol Cell Biol Lipids. 2014;1841:295–313.
Koroukian SM, Murray P, Madigan E. Comorbidity, disability, and geriatric syndromes in elderly cancer patients receiving home health care. J Clin Oncol. 2006;24:2304–10.
Williams GR, Mackenzie A, Magnuson A, Olin R, Chapman A, Mohile S, et al. Comorbidity in older adults with cancer. J Geriatr Oncol. 2016;7:249–57.
Jalving M, Gietema JA, Lefrandt JD, de Jong S, Reyners AKL, Gans ROB, et al. Metformin: Taking away the candy for cancer? Eur J Cancer. 2010;46:2369–80.
Giovannucci E, Harlan DM, Archer MC, Bergenstal RM, Gapstur SM, Habel LA, et al. Diabetes and Cancer: A Consensus Report. CA Cancer J Clin. 2010;60:207–21.
Quondamatteo F. Skin and diabetes mellitus: What do we know? Cell Tissue Res. 2014;355:1–21.
Falanga V. Wound healing and its impairment in the diabetic foot. Lancet. 2005;366:1736–43.
Park H-Y, Kim J-H, Jung M, Chung CH, Hasham R, Park CS, et al. A long-standing hyperglycaemic condition impairs skin barrier by accelerating skin ageing process. Exp Dermatol. 2011;20:969–74.
Kim J, Yoon NY, Kim DH, Jung M, Jun M, Park H, et al. Impaired permeability and antimicrobial barriers in type 2 diabetes skin are linked to increased serum levels of advanced glycation end-product. Exp Dermatol. 2018;27:815–23.
Portenoy RK, Southam MA, Gupta SK, Lapin J, Layman M, Inturrisi CE, et al. Transdermal fentanyl for cancer pain. Repeated dose pharmacokinetics. Anesthesiology. 1993;78:36–43.
Goto Y, Kakizaki M, Masaki N. Production of spontaneous diabetic rats by repetition of selective breeding. Tohoku J Exp Med. 1976;119:85–90.
Tsukui K, Suzuki M, Amma M, Tokudome Y. Ionic composition of Shotokuseki extract alters cell differentiation and lipid metabolism in three-dimensional cultured human epidermis. Cytotechnology. 2024;76:279–90.
Ishida T, Naito T, Sato H, Kawakami J. Relationship between the plasma fentanyl and serum 4β-hydroxycholesterol based on CYP3A5 genotype and gender in patients with cancer pain. Drug Metab Pharmacokinet. 2016;31:242–8.
Hisaka A, Sugiyama Y. Analysis of nonlinear and nonsteady state hepatic extraction with the dispersion model using the finite difference method. J Pharmacokinet Biopharm. 1998;26:495–519.
Man MQ, Wakefield JS, Mauro TM, Elias PM. Alterations in epidermal function in type 2 diabetes: Implications for the management of this disease. J Diabetes. 2022;14:586–95.
Fainsinger RL, Fairchild A, Nekolaichuk C, Lawlor P, Lowe S, Hanson J. Is Pain Intensity a Predictor of the Complexity of Cancer Pain Management? J Clin Oncol. 2009;27:585–90.
Feldman EL, Callaghan BC, Pop-Busui R, Zochodne DW, Wright DE, Bennett DL, et al. Diabetic neuropathy. Nat Rev Dis Primers. 2019;5:41.
Imokawa G, Abe A, Jin K, Higaki Y, Kawashima M, Hidano A. Decreased level of ceramides in stratum corneum of atopic dermatitis: an etiologic factor in atopic dry skin? J Investig Dermatol. 1991;96:523–6.
Uche LE, Gooris GS, Beddoes CM, Bouwstra JA. New insight into phase behavior and permeability of skin lipid models based on sphingosine and phytosphingosine ceramides. Biochim Biophys Acta Biomembr. 2019;1861:1317–28.
Uche LE, Gooris GS, Bouwstra JA, Beddoes CM. Barrier Capability of Skin Lipid Models: Effect of Ceramides and Free Fatty Acid Composition. Langmuir. 2019;35:15376–88.
Marier J-F, Lor M, Potvin D, Dimarco M, Morelli G, Saedder EA. Pharmacokinetics, tolerability, and performance of a novel matrix transdermal delivery system of fentanyl relative to the commercially available reservoir formulation in healthy subjects. J Clin Pharmacol. 2006;46:642–53.
Marier J-F, Lor M, Morin J, Roux L, Di Marco M, Morelli G, et al. Comparative bioequivalence study between a novel matrix transdermal delivery system of fentanyl and a commercially available reservoir formulation. Br J Clin Pharmacol. 2007;63:121–4.
Kress HG, Boss H, Delvin T, Lahu G, Lophaven S, Marx M, et al. Transdermal fentanyl matrix patches Matrifen and Durogesic DTrans are bioequivalent. Eur J Pharm Biopharm. 2010;75:225–31.
Walter K, Kurz H. Binding of drugs to human skin: influencing factors and the role of tissue lipids. J Pharm Pharmacol. 1988;40:689–93.
Yourick JJ, Koenig ML, Yourick DL, Bronaugh RL. Fate of chemicals in skin after dermal application: does the in vitro skin reservoir affect the estimate of systemic absorption? Toxicol Appl Pharmacol. 2004;195:309–20.
van Eijl S, Zhu Z, Cupitt J, Gierula M, Götz C, Fritsche E, et al. Elucidation of xenobiotic metabolism pathways in human skin and human skin models by proteomic profiling. PLoS One. 2012;7:e41721.
Dumont C, Prieto P, Asturiol D, Worth A. Review of the availability of in vitro and in silico methods for assessing dermal bioavailability. Appl In Vitro Toxicol. 2015;1:147–64. Available from: http://www.liebertpub.com/doi/10.1089/aivt.2015.0003.
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843.
de Macedo GMC, Nunes S, Barreto T. Skin disorders in diabetes mellitus: an epidemiology and physiopathology review. Diabetol Metab Syndr. 2016;8:63.
Acknowledgements
The authors wish to thank Institute for Experimental Animals, Kanazawa University.
Funding
This study was supported in part by JSPS KAKENHI, Grant Numbers JP15K08092, JP20K07195, JP23K06209, JP23K06253 and JST SPRING, Grant Number JPMJSP2135.
Author information
Authors and Affiliations
Contributions
SM, AF, TS, and YS designed the overall study and drafted the manuscript. SM, MT, YI, TK, and YH collected and analyzed the data in the retrospective study. SM, HM, KO, and TA collected and analyzed the data on skin parameters. SM, KT and YT collected and analyzed the data on intercellular lipids of SC. SM, AF, TS, and YS collected and analyzed the data in the pharmacokinetic study. YK contributed analytic tools. All authors contributed to the final version of the manuscript for submission.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This retrospective study was approved by the Medical Ethics Committee of Kanazawa University (2019–007 (3045)). All animal experiments were approved by the Committee on Animal Experimentation of Kanazawa University (AP-204140).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Mizuno, S., Takabayashi, M., Makihara, H. et al. Effect of changes in skin properties due to diabetes mellitus on the titration period of transdermal fentanyl: single-center retrospective study and diabetic animal model study. J Pharm Health Care Sci 10, 80 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40780-024-00402-5
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40780-024-00402-5