Skip to main content

ORIGINAL RESEARCH

Transpl Int, 16 October 2023
This article is part of the Special Issue The Future of Beta Cells Replacement in the Era of Regenerative Medicine and Organ Bioengineering View all 15 articles

Preferred Islet Delivery Device Characteristics and Implantation Strategies of Patients With Type 1 Diabetes

  • 1Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
  • 2LUMC Transplant Center, Leiden University Medical Center, Leiden, Netherlands
  • 3Cell Biology-Inspired Tissue Engineering (cBITE), MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
  • 4Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands
  • 5Lighthouse Biomedical B.V., Maastricht, Netherlands

Islet delivery devices (IDDs) offer potential benefits for islet transplantation and stem cell-based replacement in type 1 diabetes. Little is known about patient preferences regarding islet delivery device characteristics and implantation strategies. Patient preferences for IDDs and implantation strategies remain understudied. We invited patients, parents and caregivers to fill in an online questionnaire regarding IDDs. An online survey gathered responses from 809 type 1 diabetes patients and 47 caregivers. We also assessed diabetes distress in a subgroup of 412 patients. A significant majority (97%) expressed willingness to receive an IDD. Preferred IDD attributes included a 3.5 cm diameter for 37.7% of respondents, while when provided with all options, 30.4% found dimensions unimportant. Respondents were open to approximately 4 implants, each with a 5 cm incision. Many favored a device functioning for 12 months (33.4%) or 24 months (24.8%). Younger participants (16–30) were more inclined to accept a 6 months functional duration (p < 0.001). Functional duration outweighed implant quantity and size (p < 0.001) in device importance. This emphasizes patients’ willingness to accommodate burdens related to IDD features and implantation methods, crucial for designing future beta cell replacement strategies.

GRAPHICAL ABSTRACT

Introduction

In type 1 diabetes (T1D) insulin-producing beta cells are destroyed by the immune system and patients are dependent on life-long administration of exogenous insulin for glycemic control and survival [1]. Allogeneic islet transplantation (ITx) in the portal vein of the liver is performed in a small group of patients with T1D and severe problems with glycemic control and/or complications [2]. Usually due to an insufficient transplantable islet mass, instant blood mediated inflammatory reaction (IBMIR) and long-term islet attrition in the liver only a minority of patients will have long-lasting clinically relevant islet graft function [3, 4]. In the last 2 decades, researchers have tried to improve the efficacy of ITx with so-called islet delivery devices (IDDs) [57].

Islet delivery devices exist in many sizes, shapes, with or without different compartments and are made from different (bio)materials [79]. It has been proposed that IDDs could support ITx at an extrahepatic site and potentially increase long-term functional capacity of transplanted islets [10]. There are two main types of islet delivery devices. Open devices support direct islet vascularization and efficient exchange of nutrients but require immunosuppressive medication [11]. Closed or immunoprotective devices are designed to prevent direct contact between the grafted cells and host immune cells thereby potentially preventing graft rejection. Recent developments in the generation of pluripotent stem cell-derived islets have focused more attention on the role of IDDs.

Despite the tremendous technical progress in the field of IDDs, there is a lack of information on user preferences. It is also unclear how diabetes distress and glycemic control affects preferences. In the current study, we evaluated preferences on IDD characteristics and implantation strategies in a cross-sectional study amongst a large group of Dutch patients with T1D.

Material and Methods

Subjects

Individuals aged 16 years and older with T1D were approached and invited to fill out a questionnaire about device preferences anonymously. One group of patients was approached by providing study information and a link to the questionnaire on various Dutch online platforms for patients with type 1 diabetes: Dutch Diabetes Research Foundation, Dutch Diabetes Association, Juvenile Diabetes Research Foundation (JDRF) Netherlands, Dutch Diabetes Meeting Point, diabetestype1.nl and Regenerative Medicine Crossing Borders (RegMedXB). Parents of children diagnosed with T1D younger than 16 years were also invited to participate. A second group of patients who had visited the diabetes outpatient clinic at the Leiden University Medical Center (LUMC) in the Netherlands during the past 2 years, were contacted by e-mail and invited to participate with a link to the online questionnaire.

Questionnaires

We developed a web-based questionnaire (Qualtrics, Supplementary Appendix SA) for self-reported background information (age, sex, time since diagnosis T1D, most recent time in range (TIR), most recent hemoglobin A1c (HbA1c), current treatment and current treatment center) and preferences regarding specific aspects of islet delivery devices and implantation strategies. These preferences comprised implant sites and device characteristics such as the number of devices, the dimensions and the minimal duration of function. Respondents were invited to add explanatory remarks to their answers. Explanatory remarks were coded into categories and validated by a second investigator. The second group of patients from the LUMC were also requested to complete the 20-item Problem Areas In Diabetes (PAID) questionnaire [12]. The anonymous data were collected from October 2021 until May 2022.

Data Handling and Analysis

Incomplete questionnaires were excluded from data analysis. A single respondent who indicated sex to be other was excluded from univariate and multivariate analysis by sex. Age categories were pre-specified in the questionnaire (16–30, 31–50, 51–70, >70 years, or parent/caregiver). PAID scores were categorized as low (0–16), moderate (17–39) or high (40–100) diabetes distress [13]. HbA1c levels were reported in mmol/mol Hb and if necessary converted from a percentage by the formula “mmol/mol Hb = (10.93 × %)–23.5”. Data were analyzed in RStudio (version 2023.03.1) and GraphPad Prism (version 9.3.1) with α = 0.05. Multivariate multinomial logistic regression was performed on variables with categorical outcomes, for all respondents with covariates age, sex, HbA1c and method of recruitment and just for the respondents of the diabetes outpatient clinic with age, sex, HbA1c and categorized PAID score. The most selected answers for the outcomes preferred maximal size and minimal functional duration were selected as reference. Comparison of continuous outcomes in multiple groups was done by repeated measures one-way ANOVA with Geisser-Greenhouse correction and Tukey’s multiple comparison test. Univariate analyses of binary outcome were performed with chi-square test.

Results

Respondent Characteristics

The online questionnaire was completed by 856 respondents (Supplementary Figure S1). The response rate was 43.1% amongst the approached patients of the LUMC diabetes outpatient clinic (412 respondents). Baseline characteristics of all respondents are presented in Table 1. The majority of respondents identified as female (58.1%) and were between the ages of 31 and 70 (71.8%). Forty-four percent of respondents had diabetes for more than 25 years. Mean self-reported HbA1c was 56.4 ± 12.4 mmol/mol Hb (N = 660) and mean self-reported TIR was 68.3% ± 17.3% (N = 465). The group of 412 patients also filled out the PAID questionnaire. The median PAID score was 25 (IQR: 12.5–39.1). Diabetes distress was determined to be low (PAID score 0–16) in 34%, moderate (PAID score 17–39) in 41% and high (PAID score 40–100) in 25% of respondents. Respondents recruited online were more often female, younger, had a shorter disease duration, and higher TIR than the patients contacted via the LUMC diabetes outpatient clinic (Supplementary Table S1).

TABLE 1
www.frontiersin.org

TABLE 1. Patient characteristics.

Interest in Receiving an IDD

Nearly all (97%) respondents would like to receive an IDD (Table 2). Some respondents were willing to already take part in safety studies (44.0%), others would only accept the IDD after the completion of safety studies (44.4%).

TABLE 2
www.frontiersin.org

TABLE 2. Patient preferences for receiving a device and the preferred implant strategy.

Preferred Maximal Size

To explore the preferred maximal size of an implant, we surveyed 5 options (Table 3). We informed the respondents that a device would be flexible with a thickness of a credit card, and that it could be implanted, via a small incision, under the skin under local anesthesia at a location that would not be directly visible. Respondents were also informed that it could leave a scar. Most respondents (37.7%) preferred a maximal size corresponding to a FreeStyle Libre 2 sensor (diameter 3.5 cm), while 30.4% indicated that size was irrelevant. After correcting for sex, method of recruitment and HbA1c, respondents age >30 years compared to age 16–30 years were more likely to select a device with dimensions of a 2 Euro coin (diameter 2.6 cm) rather than a FreeStyle Libre 2 sensor (p-values 0.007–0.048). Furthermore, parents/caregivers were less likely to opt for the choice “size is irrelevant” compared to the young reference group age 16–30 years (p = 0.043). Amongst the respondents from the outpatient clinic, having high diabetes distress increased the likelihood to select the option “size is irrelevant” over “FreeStyle Libre 2 sensor” compared to low diabetes distress (p = 0.003). Of the 602 respondents who left a comment at this question, 36.7% indicated that their choice for maximal size was motivated primarily by comfort: the device should not be visible nor hinder daily activities.

TABLE 3
www.frontiersin.org

TABLE 3. Patient preferences for specific device characteristics and the expected improvements.

Maximal Number of Implants

As it is likely that several implants would need to be implanted for maximal efficacy, we asked how many devices a respondent would simultaneously accept to be cured of type 1 diabetes given that an incision of 5 cm would be needed per implant. Respondents could choose between 0 and 10 devices. Respondents indicated a median of 4 (IQR 3–6.75) implants to be acceptable (Figure 1). The option for 10 implants was selected by 186 (21.7%) people, of whom 110 (59.1%) commented that the number of devices is not relevant if it ensures a cure. Of 479 respondents that left a comment, 10.9% indicated scar formation, 11.5% recovery after surgery and 22.3% a balance between cure and daily discomfort to be considerations in selecting a maximal number of devices.

FIGURE 1
www.frontiersin.org

FIGURE 1. Maximal number of implants.

Minimal Expected Functional Duration

It is conceivable that the first generation of IDDs is functional for only a limited time. Therefore, respondents were informed that the cells in the implant would probably not be functional indefinitely, and that a replacement would be necessary under local anesthesia. We queried respondents what the minimal functional duration of an IDD should be before replacement (Table 3). A minimal functional duration of 3 months is the least desired option (13.2%). Replacement of an IDD of at most twice a year (minimal functional duration 6 months) was acceptable for 28.6%. A third (33.4%) of respondents would like the device to function for at least a year and 24.8% for at least 2 years. After correcting for method of recruitment, HbA1c and sex, respondents age 16–30 years were more likely to accept a minimal functional duration of 3–12 months when compared to those age 31–70 years (p < 0.001) and more likely to accept 6–12 months when compared to all other age categories (p-values 0.002–0.03).

Amongst respondents from the diabetes outpatient clinic, women were more likely than men to select a minimal functional duration of 24 months over 12 months (p = 0.01). Additionally, respondents age 31–50, and 51–70 years were more likely than those age 16–30 years to accept a minimal functional duration of 12 months compared to 6 months (p = 0.021 and p = 0.015, respectively). Of the 436 respondents who left a remark, 29.1% indicated that their choice revolved around minimizing emotional impact and impact on daily life due to hospital visits. Time to recovery and potential complications were important for 20%.

Most Important Device Characteristic

To gain more insights into which device characteristic was considered most important, the respondents distributed 10 points between device characteristics size, quantity and functional duration. Respondents preferred functional duration over quantity and size (4.9 ± 1.8 vs. 2.7 ± 1.2 vs. 2.3 ± 1.3 points, respectively, p < 0.001, Figure 2).

FIGURE 2
www.frontiersin.org

FIGURE 2. Scores indicating the most important device characteristic. Box indicated Q1–Q3.

Respondents’ Preferences on Implantation of Islet Delivery Devices

To evaluate what implant sites were acceptable, we asked what body parts were most preferable. The three most acceptable sites were the abdomen (65.7%), upper leg (63.7%), and upper arm (54.8%), whereas the forearm (15.7%), chest (15.2%) and lower leg (14%) were the three least accepted implant sites (Table 4). The only difference in sex was that men were more positive about the chest as implant site than women (20.1% vs. 11.7%, p < 0.001).

TABLE 4
www.frontiersin.org

TABLE 4. Patient preferences for specific implantation sites.

Minimal Expected Improvement

Islet delivery devices can potentially improve glycemic control and ideally lead to insulin independence. Respondents indicated in 34.8% of cases that they would only accept IDDs if it would cure them from diabetes (Table 3). In all other cases, various forms of improvement would also be acceptable. No longer suffering from hyperglycemia and hypoglycemia was the most selected non-curative improvement (35.2%).

Preferred Device Strategy

Multiple device application strategies regarding islet delivery devices are currently considered. We surveyed the preference for three hypothetical scenarios (Table 2). Most respondents (61.1%) preferred a scenario with well-functioning cells that requires two surgical procedures over excellent-functioning cells requiring one surgical procedure and 10 min of daily care to supply oxygen (20.6%). A minority (6.1%) opted for moderately functioning cells after 1 surgical procedure. No preference was indicated by 12.3%.

Discussion

The main outcome of our cross-sectional study in a large group of Dutch patients with type 1 diabetes is that patients with T1D are willing to accept a considerable burden of islet delivery device characteristics and implantation if this leads to a functional cure or clinically relevant improvement in hyper- and hypoglycemic events. Islet delivery devices could play an important future role in islet replacement strategies using insulin-producing cells from alternative cell sources such as pluripotent stem cells. Generating insights in the preferences of future recipients may support a smooth transition from IDD development to acceptance in the clinic.

In a previous report, Mohammadi et al. were the first to describe patient perspectives on implants for treatment of diabetes [14]. The results from their study indicated that patients with T1D prefer a device to be as small as possible and that a majority of the patients favored subcutaneous implantation. To gain more insight into what locations were preferred by patients we investigated which locations would be more preferable. Although not one location had a near total acceptance rate, most respondents accepted the abdomen, upper leg and upper arm which are sites that are often used for insulin injections and/or sensor placements.

The acceptance rate of IDDs was very high. Nearly all respondents indicated they would accept an IDD within the context of participation in a safety trial. T1D has a high disease burden [15] and diabetes distress partially mediates the relationship between depression and glycemic control [16]. It may not be surprising that device characteristics that may generate more discomfort are acceptable as long as it leads to a functional improvement or cure.

A morphomics framework was developed by McDermott et al. in which the body composition of 642 participants was evaluated using computed tomography images to analyze the maximal device dimensions [17]. In their model, maximal device dimensions were significantly larger in males, adults and dependent on BMI. The ideal device would be elliptical and could have an average surface area of 156 cm2 in males. This equals the size of two banknotes, which according to our study results is only acceptable by one-third of the respondents.

The limitations of our study were the use of a non-validated questionnaire to assess the preferences for device characteristics and the self-reported glycemic control. Self-report bias is an important limitation in studies using questionnaire. We accepted a putative difference between reported and actual HbA1c and TIR as these measures were used as an indicative marker rather than a prognostic or etiological factor. Selection bias may also have played a role as it is possible that non-interested patients with T1D did not start or complete the survey, and were therefore not considered or registered for data analysis. The response rate of 43.1% from the diabetes outpatient clinic similar to that of a different survey study amongst patients with diabetes [18]. The outcomes of our survey will allow researchers to incorporate device preferences of potential recipients at an early stage during device design and development [14].

Conclusion

The vast majority of patients with type 1 diabetes would accept islet delivery devices when they become available. Respondents indicate that the minimal functional duration of an IDD is the most important characteristic. Implanting multiple IDDs is an acceptable strategy, although the potential discomfort while performing daily activities should be considered. The outcomes of this survey should not only serve as a recommendation for designing IDDs, but may also aid clinicians and researchers in setting up the appropriate clinical protocol for beta cell replacement strategies using cell delivery devices.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics Statement

The Medical Ethics Committees of Maastricht (METC azM/UM), and of Leiden Den Haag Delft (METC LDD) considered the Medical Research Involving Human Subjects Act (Dutch: WMO) not to be applicable to this study protocol. The Board of Directors of the LUMC approved this study to be executed in the hospital.

Author Contributions

MT and DdB co-wrote this manuscript, analyzed the data, and designed the study in an equal manner. WB advised on the patient survey and writing of the article. EdK contributed to the writing, and AvA supervised the study and contributed to the writing. All authors contributed to the article and approved the submitted version.

Conflict of Interest

AvA is founder and shareholder of Lighthouse Biomedical BV a start-up company aiming to commercialize beta cell delivery devices in the future.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontierspartnerships.org/articles/10.3389/ti.2023.11077/full#supplementary-material

References

1. Janež, A, Guja, C, Mitrakou, A, Lalic, N, Tankova, T, Czupryniak, L, et al. Insulin Therapy in Adults With Type 1 Diabetes Mellitus: A Narrative Review. Diabetes Ther (2020) 11(2):387–409. doi:10.1007/s13300-019-00743-7

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Shapiro, AMJ, Pokrywczynska, M, and Ricordi, C. Clinical Pancreatic Islet Transplantation. Nat Rev Endocrinol (2017) 13(5):268–77. doi:10.1038/nrendo.2016.178

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pepper, AR, Gala-Lopez, B, Ziff, O, and Shapiro, AMJ. Current Status of Clinical Islet Transplantation. World J Transpl (2013) 3(4):48–53. doi:10.5500/wjt.v3.i4.48

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Delaune, V, Berney, T, Lacotte, S, and Toso, C. Intraportal Islet Transplantation: The Impact of the Liver Microenvironment. Transpl Int (2017) 30(3):227–38. doi:10.1111/tri.12919

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Buitinga, M, Assen, F, Hanegraaf, M, Wieringa, P, Hilderink, J, Moroni, L, et al. Micro-Fabricated Scaffolds Lead to Efficient Remission of Diabetes in Mice. Biomaterials (2017) 135:10–22. doi:10.1016/j.biomaterials.2017.03.031

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Pepper, AR, Pawlick, R, Gala-Lopez, B, MacGillivary, A, Mazzuca, DM, White, DJG, et al. Diabetes Is Reversed in a Murine Model by Marginal Mass Syngeneic Islet Transplantation Using a Subcutaneous Cell Pouch Device. Transplantation (2015) 99(11):2294–300. doi:10.1097/TP.0000000000000864

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ramzy, A, Thompson, DM, Ward-Hartstonge, KA, Ivison, S, Cook, L, Garcia, RV, et al. Implanted Pluripotent Stem-Cell-Derived Pancreatic Endoderm Cells Secrete Glucose-Responsive C-Peptide in Patients With Type 1 Diabetes. Cell Stem Cell (2021) 28(12):2047–61.e5. doi:10.1016/j.stem.2021.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ludwig, B, Ludwig, S, Steffen, A, Knauf, Y, Zimerman, B, Heinke, S, et al. Favorable Outcome of Experimental Islet Xenotransplantation Without Immunosuppression in a Nonhuman Primate Model of Diabetes. Proc Natl Acad Sci U. S. A. (2017) 114:11745–50. doi:10.1073/pnas.1708420114

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ludwig, B, Reichel, A, Steffen, A, Zimerman, B, Schally, AV, Block, NL, et al. Transplantation of Human Islets Without Immunosuppression. Proc Natl Acad Sci (2013) 110(47):19054–8. doi:10.1073/pnas.1317561110

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Pignatelli, C, Campo, F, Neroni, A, Piemonti, L, and Citro, A. Bioengineering the Vascularized Endocrine Pancreas: A Fine-Tuned Interplay Between Vascularization, Extracellular-Matrix-Based Scaffold Architecture, and Insulin-Producing Cells. Transpl Int (2022) 35:10555. doi:10.3389/ti.2022.10555

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Paez-Mayorga, J, Lukin, I, Emerich, D, de Vos, P, Orive, G, and Grattoni, A. Emerging Strategies for Beta Cell Transplantation to Treat Diabetes. Trends Pharmacol Sci (2021) 43:221–33. doi:10.1016/j.tips.2021.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Welch, GW, Jacobson, AM, and Polonsky, WH. The Problem Areas in Diabetes Scale: An Evaluation of Its Clinical Utility. Diabetes Care (1997) 20(5):760–6. doi:10.2337/diacare.20.5.760

PubMed Abstract | CrossRef Full Text | Google Scholar

13. De Wit, M, Pouwer, F, and Snoek, FJ. How to Identify Clinically Significant Diabetes Distress Using the Problem Areas in Diabetes (PAID) Scale in Adults With Diabetes Treated in Primary or Secondary Care? Evidence for New Cut Points Based on Latent Class Analyses. BMJ Open (2022) 12(3):e056304. doi:10.1136/bmjopen-2021-056304

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Mohammadi, MR, Dehkordi-Vakil, F, Ricks-Oddie, J, Mansfield, R, Kashimiri, H, Daniels, M, et al. Preferences of Type 1 Diabetic Patients on Devices for Islet Transplantation. Cel Transplant (2020) 29:963689720952343. doi:10.1177/0963689720952343

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Vos, T, Lim, SS, Abbafati, C, Abbas, KM, Abbasi, M, Abbasifard, M, et al. Global Burden of 369 Diseases and Injuries in 204 Countries and Territories, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. The Lancet (2020) 396(10258):1204–22. doi:10.1016/S0140-6736(20)30925-9

CrossRef Full Text | Google Scholar

16. Van Bastelaar, KMP, Pouwer, F, Geelhoed-Duijvestijn, PHLM, Tack, CJ, Bazelmans, E, Beekman, AT, et al. Diabetes-Specific Emotional Distress Mediates the Association Between Depressive Symptoms and Glycaemic Control in Type 1 and Type 2 Diabetes. Diabetic Med (2010) 27(7):798–803. doi:10.1111/j.1464-5491.2010.03025.x

PubMed Abstract | CrossRef Full Text | Google Scholar

17. McDermott, B, Robinson, S, Holcombe, S, Levey, RE, Dockery, P, Johnson, P, et al. Developing a Morphomics Framework to Optimize Implant Site-Specific Design Parameters for Islet Macroencapsulation Devices. J R Soc Interf (2021) 18(185):20210673. doi:10.1098/rsif.2021.0673

CrossRef Full Text | Google Scholar

18. Ziegenfuss, JY, Shah, ND, Deming, JR, Van Houten, HK, Smith, SA, and Beebe, TJ. Offering Results to Participants in a Diabetes Survey: Effects on Survey Response Rates. Patient (2011) 4(4):241–5. doi:10.2165/11595850-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: islet transplantation, survey, type 1 diabetes, islet delivery device, patient preference

Citation: Tol MC, de Bont DFA, Boon WPC, de Koning EJP and van Apeldoorn AA (2023) Preferred Islet Delivery Device Characteristics and Implantation Strategies of Patients With Type 1 Diabetes. Transpl Int 36:11077. doi: 10.3389/ti.2023.11077

Received: 25 November 2022; Accepted: 21 September 2023;
Published: 16 October 2023.

Copyright © 2023 Tol, de Bont, Boon, de Koning and van Apeldoorn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Aart A. van Apeldoorn, a.vanapeldoorn@maastrichtuniversity.nl

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.