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Journal of Drug Delivery and Therapeutics
Open Access to Pharmaceutical and Medical Research
Copyright © 2021 The Author(s): This is an open-access article distributed under the terms of the CC BY-NC 4.0 which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited
Open Access Full Text Article Review Article
Systematic Review on the Effectiveness of Strategies for Increasing Insulin Bioavailability in Oral Route Delivery Systems Based on Manufacturing Techniques and Materials Used
Krisna Adiva Puja , Ningrum Hendri Wahyu , Fimannuha Tamara Laily , Puspita Oktavia Eka*
Department of Pharmacy, Faculty of Medicine, Brawijaya University, Malang 65145, East Java, Indonesia
|
Article Info: _________________________________________ Article History: Received 19 September 2021 Reviewed 20 October 2021 Accepted 24 October 2021 Published 15 November 2021 _________________________________________ Cite this article as: Krisna AP, Ningrum HW, Fimannuha TL, Puspita OE, Systematic Review on the Effectiveness of Strategies for Increasing Insulin Bioavailability in Oral Route Delivery Systems Based on Manufacturing Techniques and Materials Used, Journal of Drug Delivery and Therapeutics. 2021; 11(6):194-208 DOI: http://dx.doi.org/10.22270/jddt.v11i6.5132 _________________________________________ *Address for Correspondence: Puspita Oktavia Eka, Department of Pharmacy, Faculty of Medicine, Brawijaya University, Malang 65145, East Java, Indonesia ORCID ID: https://orcid.org/0000-0001-6107-1089 |
Abstract ______________________________________________________________________________________________________ Diabetes is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion, insulin action, or both. All patients with type 1 diabetes and many type 2 diabetes require insulin therapy to achieve reasonable glycemic control. During this time, insulin is given through the subcutaneous injection route because it can be destroyed by gastric acid when given orally. Until now, many studies have developed oral insulin therapy using various delivery system strategies. This systematic literature review aims to answer several questions about the effect of technique and material on increasing oral insulin bioavailability and the best technique and type of material that can produce the best oral insulin bioavailability. We searched for published articles regarding the development of oral route insulin. Bioavailability parameters were assessed based on plasma insulin levels for relative bioavailability values and/or plasma glucose levels for pharmacological bioavailability values. Conclusion: The manufacturing technique in the delivery system affects insulin stability in maintaining its conformation to provide a therapeutic effect. The type of substance affects insulin bioavailability through its properties in paving the way for insulin across various barriers in the digestive tract. To date, the best results in the development of oral insulin have obtained oral insulin bioavailability of 73.10% achieved by mesoporous silica nanoparticles (MSN) delivery system with layer-by-layer technique coated with [poly (methacrylic acid-co-vinyl triethoxylsilane)] (PMV)]. Keywords: bioavailability, diabetes, insulin, nanoparticles, oral delivery system. |
INTRODUCTION
Diabetes is a non-communicable disease characterized by hyperglycemia due to impaired insulin secretion, insulin action, or both. Chronic hyperglycemia in diabetes can lead to failure of various organs, especially the eyes, kidneys, nerves, heart, and blood vessels 1. Globally, people with diabetes in 2019 are estimated at 9.3% (463 million people), increasing to 10.2% (578 million) in 2030 and 10.9% (700 million) in 2045 2. Meanwhile, in Indonesia, based on Basic Health Research data, people with diabetes increased from 6.9% in 2013 to 8.5% in 2018, so the estimated number of sufferers in Indonesia reaches more than 16 million people (Kemenkes RI, 2018)2(a). All patients with type 1 diabetes and many patients with type 2 diabetes require insulin therapy to achieve reasonable glycemic control 3.
Insulin is the most effective way to lower blood glucose, allowing the body to maintain glucose within a normal range 4. Insulin is given by subcutaneous injection because it can be destroyed by stomach acid if given orally 3. However, daily insulin injections are considered ineffective because they cause pain at the injection site, are inconvenient, uncomfortable, and lead to low patient compliance 5. Therefore, many researchers have developed insulin administration via a convenient, non-invasive route such as the oral route. It is recognized as the most convenient and commonly used method of drug administration due to its ease of administration, high patient compliance, cost-effectiveness, minimum sterility constraints, and flexible dosage form design. However, low bioavailability is a significant challenge in designing oral dosage forms 6.
The bioavailability of a drug is the portion of the administered dose that reaches the systemic circulation 7. Oral bioavailability is influenced by several factors such as water solubility, drug permeability, dissolution rate, first-pass metabolism, pre-systemic metabolism, and susceptibility to efflux mechanisms 6. A drug must reach the desired drug concentration in the systemic circulation 8. Insulin has low oral bioavailability due to the degradation of proteolytic enzymes and lack of intrinsic permeability through the intestinal epithelium 9.
Several strategies have been carried out to develop insulin delivery systems via the oral route. Several reviews of articles related to the development of the oral route of insulin have also been carried out. A review of articles conducted by Singh et al. (2019) reported that oral route insulin bioavailability could be increased through encapsulation to insulin 10. In addition, Wong et al. (2021) reviewed articles on the characteristics of oral insulin preparation techniques and found that insulin bioavailability can be increased through various insulin preparation techniques used 11. However, there has been no review of articles that analyze the best materials and techniques in the manufacture of insulin that can increase the bioavailability of oral insulin, so this is the background of this study. This study conducted a Systematic Literature Review to determine whether the manufacturing technique and material used to develop oral route insulin therapy can affect insulin bioavailability. The review results are expected to provide information about the best techniques and types of ingredients in increasing the bioavailability of oral insulin. In the future, the results of this study can be helpful to facilitate the development of oral insulin with the best results and quality. To achieve the research objectives, the results of this Systematic Literature Review must be able to answer the following research questions (RQ):
To answer the formulation of these questions requires relevant research results. Therefore, in this Systematic Literature Review, limitations are given to the criteria of the article, namely:
Thus, not all articles are used to answer this question. Articles that do not meet the data inclusion criteria or articles that contain data on insulin but have the following criteria will not be used to answer research questions. However, it is possible to use it as supporting data only. The article exclusion criteria are as follows:
METHODS
The study was conducted based on the Systematic Literature Review method used by Rowley & Slack (2004) and based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol 12,13 (Figure 1). The research was carried out in 5 stages, namely (a) scanning documents, (b) making documentation, (c) arranging Literature Review, (d) writing Literature Review, and (e) compiling a bibliography. Scanning documents is done by identifying keywords and articles that must be included in the Systematic Literature Review. Documentation is made by listing the references from which the articles were downloaded. Structuring the Literature Review is done by identifying the main themes and then sorting them to select articles. Writing literature according to the themes identified in the previous step was performed. The bibliography is compiled by including all sources referenced in the preparation of the Systematic Literature Review.
The article search begins with determining the combination of keywords that match the formulation of research questions to scan documents on a digital database. The combination of keywords used is insulin AND bioavailability AND “oral administration” OR “oral delivery system” AND liposome OR “solid lipid nanoparticle” OR “polymeric nanoparticle” OR “inorganic nanoparticle” OR “insulin emulsion” OR nanogels.
Based on article searches that have been carried out through three digital databases, 1000 articles were obtained from Google Scholar, seven articles from Pubmed, and 800 articles from Crossref. The total number of articles obtained is 1807 article titles. The first stage is metadata or combining articles that have been obtained from the three sources in .xlsx format. The next step is initial screening, sorting the early stages of articles with the same title and publisher (duplicate screening). Duplicated articles from 1807 articles are 97 articles. The total number of the article after the duplication was removed was 1710 articles. Based on the screening results through the title and abstract of the article against the suitability of the inclusion and exclusion criteria, it was found that the number of articles that met the inclusion criteria was 77 articles. The results of the article assessment using the Checklist for Quasi-Experimental Studies (Non-Randomized Experimental Studies) from the Joanna Briggs Institute obtained articles that meet the assessment or are eligible are 76 articles.
A description of the article profile was carried out on the selected articles, including article title, author's name, year of publication, publisher, citation per year, manufacturing technique, type of delivery system, formula content, test method, bioavailability test parameters, as well as the resulting bioavailability to be extracted and stored in a format. .xlsx. Figure 2 shows the trend of article publication from year to year.
Figure 1: Systematic Literature Review Process
Figure 2: Trend of the Number of Articles Each Year in the 2015-2021 Range
The types of delivery systems used vary, including polymeric nanoparticles and lipid nanoparticles. Each country's contribution to the publication of research on the development of oral insulin is shown in Figure 3. Countries were determined based on the authors' affiliation—the country with the highest number of studies in China, followed by India in the second position.
Figure 3: Country Profile of Research Site
All articles have been published in journals with Impact Factors showing that the journal is of high quality and contributes to the research field. Citation analysis is also used to determine the relevance between articles and how many articles are quoted. The citation of an article also shows that the article is of high quality. Table 1 shows the ranking of articles based on citation analysis.
Table 1: Articles by Number of Citations
|
Rank |
Author |
Year |
Citation per Year |
Rank |
Author |
Year |
Citation per Year |
Rank |
Author |
Year |
Citation per Year |
|
1 |
He et al (20) |
2017 |
33,5 |
27 |
Malathi et al (21) |
2015 |
8,83 |
53 |
Wu et al (22) |
2019 |
3,5 |
|
2 |
Liu et al (23) |
2016 |
33,2 |
28 |
Wu et al (24) |
2017 |
8,75 |
54 |
Alsulays et al (25) |
2019 |
3,5 |
|
3 |
Wang et al (26) |
2019 |
32 |
29 |
Ji et al (27) |
2019 |
8,5 |
55 |
Agrawal et al (28) |
2015 |
3,5 |
|
4 |
Fan et al (29) |
2018 |
30 |
30 |
Omid et al (30) |
2017 |
8 |
56 |
Zhang et al (31) |
2017 |
3,25 |
|
5 |
Mumuni et al (32) |
2020 |
25 |
31 |
Ukai et al (33) |
2020 |
8 |
57 |
Fang et al (34) |
2018 |
3 |
|
6 |
Han et al (14) |
2020 |
21 |
32 |
Zhang et al (35) |
2015 |
7,83 |
58 |
Sun et al (36) |
2019 |
3 |
|
7 |
Li et al (37) |
2017 |
19,5 |
33 |
Liu et al (38) |
2016 |
6,6 |
59 |
Sahoo et al (39) |
2019 |
3 |
|
8 |
Sheng et al (40) |
2016 |
19,4 |
34 |
Sun et al (41) |
2015 |
6,33 |
60 |
Alfaro et al (42) |
2020 |
3 |
|
9 |
Sheng et al (43) |
2015 |
19,17 |
35 |
Guha et al (19) |
2016 |
6,2 |
61 |
Wang et al (44) |
2018 |
2,67 |
|
10 |
Wu et al (45) |
2018 |
19 |
36 |
Yazdi et al (46) |
2020 |
6 |
62 |
Hu et al (47) |
2019 |
2,5 |
|
11 |
Liu et al (48) |
2019 |
18 |
37 |
Liu et al (49) |
2019 |
6 |
63 |
Boushra et al (50) |
2019 |
2,5 |
|
12 |
Shan et al (51) |
2016 |
17,2 |
38 |
Ji et al (52) |
2017 |
5,75 |
64 |
Xie et al (53) |
2018 |
2,33 |
|
13 |
Tian et al (54) |
2018 |
16 |
39 |
Guo et al (55) |
2016 |
5,4 |
65 |
Zhang et al (56) |
2021 |
2 |
|
14 |
Alibolandi et al (57) |
2016 |
15,4 |
40 |
Kim et al (58) |
2018 |
5,33 |
66 |
Zhang et al (59) |
2018 |
1,67 |
|
15 |
Verma et al (60) |
2015 |
15 |
41 |
Fukuoka et al (61) |
2018 |
5,33 |
67 |
Yan et al (62) |
2019 |
1,5 |
|
16 |
Wang et al (63) |
2017 |
15 |
42 |
Chen et al (64) |
2019 |
5 |
68 |
Bahman et al (65) |
2020 |
1 |
|
17 |
Shrestha et al (66) |
2016 |
15 |
43 |
Zhou et al (67) |
2020 |
5 |
69 |
Winarti et al (68) |
2018 |
0,67 |
|
18 |
Liu et al (18) |
2016 |
14 |
44 |
Sun et al (69) |
2016 |
4,5 |
70 |
Zhang et al (70) |
2021 |
0 |
|
19 |
Zeng et al (71) |
2018 |
11 |
45 |
He et al (72) |
2015 |
4,5 |
71 |
Ansari et al (73) |
2016 |
0 |
|
20 |
Niu et al (74) |
2017 |
11 |
46 |
Boushra et al (75) |
2016 |
4,4 |
72 |
Koland et al (76) |
2021 |
0 |
|
21 |
Deng et al (77) |
2017 |
10 |
47 |
Singh et al (78) |
2018 |
4,33 |
73 |
Heade et al (79) |
2021 |
0 |
|
22 |
Chen et al (80) |
2017 |
10 |
48 |
Agrawal et al (81) |
2017 |
4,25 |
74 |
Kaur et al (82) |
2021 |
0 |
|
23 |
Zhu et al (83) |
2016 |
10 |
49 |
Urimi et al (84) |
2019 |
4 |
75 |
Wang et al (85) |
2020 |
0 |
|
24 |
Xu et al (86) |
2017 |
9,25 |
50 |
El-Leithy et al (87) |
2019 |
4 |
76 |
Elkhatib et al (88) |
2021 |
0 |
|
25 |
Chen et al (17) |
2019 |
9 |
51 |
Elsayed et al (89) |
2018 |
4 |
||||
|
26 |
Zheng et al (90) |
2018 |
9 |
52 |
Jaafar & Hamid (15) |
2019 |
3,5 |
RESULTS AND DISCUSSIONS
The complete summary results of the 76 selected articles can be seen in Supplementary File 1. Selected articles are classified based on the research questions that will be answered in this study, namely (1) the effect of the technique on increasing oral insulin bioavailability (RQ1), (2) the best manufacturing technique in increasing the bioavailability of oral insulin (RQ2), (3) the effect of the type of substance on increasing the bioavailability of oral insulin (RQ3), and (4) the best type of substance in increasing the bioavailability of oral insulin (RQ4).
Insulin is a high-molecular-weight protein that is highly hydrophilic, so it cannot cross the digestive tract properly due to many barriers. In order to work orally, insulin must pass through three main physiological barriers, namely 1) insulin must be able to withstand a very acidic gastric pH (pH = 1-3) and proteolytic enzymes that can degrade/denature insulin; 2) insulin must be able to penetrate the mucous layer that protects the intestinal epithelial surface, and 3) insulin must be able to pass through the intestinal epithelial cell layer to enter the systemic circulation 14. Therefore, insulin delivery systems must be designed effectively to protect insulin from obstacles in the digestive tract, biocompatible to maintain the conformational integrity of insulin to remain pharmacologically active, and able to load more insulin in the accurate concentrations that it can control insulin levels for optimal blood glucose 15.
The manufacturing technique is a factor that plays a role in efforts to increase the bioavailability of oral insulin. The manufacturing technique must pay attention to the physicochemical properties of insulin in order to maintain insulin stability until the end. Based on the review results, the technique used to manufacture an oral insulin delivery system can be seen in Table 2. The most widely used technique is double emulsion solvent evaporation, which is 18.42%. The hydrophilicity and hydrophobicity of the active substance are very important to determine the manufacturing technique used in the delivery system. The double emulsion technique [water in oil in water (w/o/w)], also known as emulsion, is a complex system in which the dispersed phase droplets consist of small dispersed phases. This technique is widely used to encapsulate proteins because it can protect against degradation due to acidic gastric pH and proteolytic enzymes in the small intestine. In addition, this technique can help drugs achieve sustained release, are biocompatible and biodegradable, and can encapsulate two types of hydrophilic and hydrophobic drugs separately and simultaneously. However, this technique has several disadvantages, including the need for high shear stresses and high-pressure homogenization so that the protein tends to denature and form aggregates due to the high shear force and the significant interface exposure between the aqueous and the organic phase. In addition, the resulting particles are relatively heterogeneous, the particle size is sensitive to various parameters of the manufacturing process, and this technique has not had excellent encapsulation efficiency 16. Like the research that has been done by Chen et al. (2019) resulted in an oral insulin bioavailability of 7.51%, which is still relatively low 17.
Several ingredients have been reported to increase oral insulin bioavailability, which can be seen in Table 2. Chitosan is the most widely used material in oral insulin delivery systems because it has nontoxic and biocompatible properties, can mediate the opening of tight junctions between epithelial cells reversibly, and can increase permeability via the paracellular pathway. The opening of tight junctions by chitosan is caused by the interaction between chitosan and integrin receptors on the cell membrane, which causes the conformation of integrin receptors which can then damage the tight junction area. The use of chitosan can also prevent nanoparticles from complicated intracellular transport and prevent the enzymatic degradation of insulin in lysosomes 18. Research conducted by Jafar & Hamid (2019) showed that the use of chitosan polymer could increase the bioavailability of oral insulin by 40.23% 15.
Based on the results of systematic studies that have been carried out, there are the best techniques and materials based on bioavailability parameters that can be recommended in the development of oral insulin routes. These findings are based on research by Guha et al. (2016) using a mesoporous silica nanoparticles (MSN) delivery system with a layer-by-layer technique coated with a polymer [poly (methacrylic acid-co-vinyl triethoxylsilane)] (PMV). PMV was obtained from the synthesis of methacrylic acid (MAA) and vinyl triethoxylsilane (VTES). PMV polymers are sensitive to pH values so that their release can be targeted in the intestine with the prolonged-release for 6 hours. PMV can protect insulin from the degradation of proteolytic enzymes and gastric acid environment. Encapsulation of insulin with PMV can help insulin cross the intestinal mucosa through paracellular and transcellular transport, then quickly absorbed by intestinal epithelial cells and directly reach the systemic circulation. The layer-by-layer technique is reported to produce a large nanoparticle surface area of 304.3921 m2/g and an adsorption pore width with a smaller dimension of 64.7844 nm to increase insulin absorption to obtain a significantly increased bioavailability of 73.10% 19.
Table 2: Comprehensive Summary of Oral Insulin Development Articles
|
No. |
Author |
Year |
Publisher |
Journal and Impact Factor |
Method |
Delivery System |
Formulation |
Test Method |
BA Parameters |
Theme Classification |
|
1 |
Ji et al |
2019 |
Elsevier |
Journal of Controlled Release (7,633) |
Antisolvent coprecipitation |
nanocompocite |
Carboxymethylated short-chain amylose; zein; chitosan. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
2 |
Kim et al |
2018 |
ACS Publications |
Molecular Pharmaceutics (4,44) |
N/A |
liposome |
Chondroitin sulfate-g-taurocholic acid (CST). |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
3 |
Yazdi et al |
2020 |
Elsevier |
Colloids and Surfaces B: Biointerfaces (5,268) |
thin film hydration |
liposome |
PEG, folic acid, hydrogenated soya phosphatidylcholine (HSPC). |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
4 |
Wang et al |
2018 |
Taylor & Francis |
Pharmaceutical Development and Technology (2,347) |
emulsion polymerization |
nanogel |
Hydroxyethyl methacrylate (HEMA). |
in vivo |
plasma insulin level, plasma glucose level |
RQ1, RQ2, RQ3, RQ4 |
|
5 |
Agrawal et al |
2017 |
ACS Publications |
Molecular Pharmaceutics (4,44) |
hydrotope |
nanoparticle |
lesitin, pluronic f-127 |
in vivo |
plasma glucose level |
RQ1, RQ2, RQ3, RQ4 |
|
6 |
Wang et al |
2019 |
Wiley Online Library |
Advanced Healthcare Materials (7,367) |
thin film hydration |
liposome |
EPC, cholesterol, DOTAP |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
7 |
Singh et al |
2018 |
Future Medicine |
Nanomedicine (London) (4,727) |
N/A |
nanoparticle |
Pluronic F-127, GMO, propylene glycol. |
in vivo |
plasma insulin level, plasma glucose level |
RQ3. RQ4 |
|
8 |
Jaafar & Hamid |
2019 |
Ingenta Connect |
Current Drug Delivery (1,582) |
polyelectrolyte complexation and ionotropic gelation |
nanoparticle |
Alginate, calcium chloride (CaCl2), Pluronic-68, dextran sulfate, chitosan |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
9 |
Zhang et al |
2020 |
Royal Society of Chemistry |
Nanoscale (6,895) |
thin film rehydration |
nanoliposome |
Hydrogenated soybean phosphatidylcholine (HSPC), and 1,2- dipalmitoyl-sn-glycero-3-phosphoglycerol, sodium salt (DPPG) |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
10 |
Deng et al |
2017 |
Elsevier |
Nanomedicine Nanotechnology Biology Medicine (6,458) |
ionic cross-linking/in situ reduction |
nanoparticle |
Chitosan, Reduced L-glutathione (GSH), sodium selenite (Na2SeO3). |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
11 |
Wu et al |
2019 |
Elsevier |
Journal of Pharmaceutical Sciences (3,534) |
reversed-phase evaporation |
liposome |
Chitosan, deoxycholic acid. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
12 |
Liu et al |
2016 |
Dove Medical Press Limited |
International Journal of Nanomedicine (6,400) |
modified solvent-injection |
nanoparticle |
Lecithin, chitosan. |
in vivo |
glucose insulin level (pharmacological bioavailability) |
RQ1, RQ2, RQ3, RQ4 |
|
13 |
Alibolandi et al |
2016 |
Elsevier |
Journal of Controlled Release (7,633) |
modified direct hydration |
polymersome |
Dextran-PLGA. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
14 |
Ji et al |
2017 |
ACS Publications |
Journal of Agricultural and Food Chemistry (4,192) |
N/A |
nanocomposite |
short chain glucan (SGC), proanthocyanidins (PAC). |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
15 |
Han et al |
2020 |
Nature |
Nature Nanotechnology (33,407) |
N/A |
micelles |
polimer betaine zwitterionic (polycarboxybetaine, PCB) terkonjugasi menjadi 1,2 distearoyl-sn-glycero-3-phosphoethanolamine (DSPE) |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
16 |
Chen et al |
2017 |
Springer |
AAPS PharmSciTech (3,246) |
ionotropic gelation |
nanoparticle |
Chitosan, eudragit S100, transcriptional peptide (tat) |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
17 |
Urimi et al |
2019 |
Springer |
AAPS PharmSciTech (3,246) |
ionotropic gelation |
nanoparticle |
Chitosan solution (1 mg/mL), PSS (poly(sodium 4-styrenesulfonate)), PGA (γ-polyglutamic acid)] |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
18 |
Chen et al |
2019 |
Taylor & Francis |
Journal of Microencapsulation (5,82) |
double-emulsion (water-in-oil-in-water) solvent evaporation |
nanoparticle |
Chitosan, alginate, mPEG-b-PLGA. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
19 |
Alsulays et al |
2019 |
Dove Medical Press Limited |
International Journal of Nanomedicine (6,400) |
double emulsification |
Solid lipid nanoparticle |
L-penetratin, D-penetratin. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
20 |
Xie et al |
2018 |
Future Medicine |
Nanomedicine (London) (4,727) |
N/A |
polymersome |
Pluronic p85, PLGA. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
21 |
Sheng et al |
2015 |
ACS Publications |
ACS Applied Materials & Interfaces (8,758) |
double emulsion solvent evaporation |
nanoparticle |
N-trymethyl chitosan, PLGA. |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
22 |
El-Leithy et al |
2019 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
ionic gelation |
nanoparticle |
chitosan, tripolyphosphate (TPP). |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
23 |
Zeng et al |
2018 |
Wiley Online Library |
Advanced Healthcare Materials (7,367) |
N/A |
nanoparticle |
DDAB (dimethyldioctadecylammonium bromide). |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
24 |
Verma et al |
2015 |
Elsevier |
Acta Biomaterialia (8,947) |
microemulsion |
nanoparticle |
vitamin B12, chitosan. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
25 |
Tian et al |
2018 |
Wiley Online Library |
Advanced Healthcare Materials (7,367) |
two-step flash nanocomplexation |
nanoparticle |
Hyaluronic acid, thiolated hyaluronic acid. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
26 |
Malathi et al |
2015 |
Dove Medical Press Limited |
International Journal of Nanomedicine (6,400) |
emulsion-solvent evaporation |
nanoparticle |
d-α-tocopherol poly(ethylene glycol) 1000 succinate (TPGS), PLGA, PEG. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
27 |
Wang et al |
2017 |
Elsevier |
Carbohydrate Polymers (9.381) |
N/A |
nanoparticle |
Deacetylated chitosan, Carboxymethyl chitosan |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
28 |
Sun et al |
2016 |
MDPI |
International Journal of Molecular Sciences (5.923) |
emulsion solvent diffusion |
nanoparticle |
Sodium deoxycholate, PLGA, Hydroxypropyl methyl cellulose phthalate (HP55). |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
29 |
Liu et al |
2016 |
Elsevier |
Journal of Controlled Release (9,776) |
Ionotropic gelation and polyelectrolyte complex |
nanoparticle |
TMC, sodium tripolyphosphate (TPP), Chitosan. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
30 |
Fang et al |
2018 |
Elsevier |
Journal of Pharmaceutical Sciences (3.534) |
spontaneous emulsion solvent diffusion |
nanoparticle |
hidroksipropil metilselulosa ftalat (HPMCP), PVA. |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
31 |
Chen et al |
2019 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
N/A |
nanoparticle |
Chitosan /alginate, Cp1-11 |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
32 |
Zheng et al |
2018 |
ACS Publications |
ACS Applied Materials & Interfaces (8,758) |
One step nanoprecipitation |
nanoparticle |
EGP peptide, PLGA |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
33 |
He et al |
2017 |
Elsevier |
Biomaterials (12.479) |
Flash nanocomplexation |
nanoparticle |
Chitosan, tripolifosfat (TPP) |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
34 |
Li et al |
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Elsevier |
Materials Science and Engineering: C (7.328) |
N/A |
nanoparticle |
Chitosan modified by L-valin |
in vivo |
plasma insulin level |
RQ3. RQ4 |
|
35 |
Bahman et al |
2020 |
MDPI |
Pharmaceutics (6.321) |
N/A |
micelles |
Poly(styrene-co-maleic acid) |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
36 |
Hu et al |
2019 |
NCBI |
International Journal of Nanomedicine (6,400) |
anhydrous co-solvent lyophilization |
nanoemulsi |
Phospolipid (Oleic Acid (OA), Ethyl Oleate (EO), Isopropyl Myristate (IPM)). |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
37 |
Fan et al |
2018 |
Elsevier |
Biomaterials (12.479) |
N/A |
nanoparticle |
Deoxycholic acid, chloroquine (CQ), PGA. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
38 |
Sun et al |
2018 |
ACS Publications |
Biomacromolecules (6.988) |
N/A |
nanoparticle |
Chitosan, eudragit S100, transcriptional peptide (tat) |
in vivo |
plasma insulin level, glucose insulin level |
RQ3, RQ4 |
|
39 |
Shrestha et al |
2016 |
Wiley Online Library |
Advanced Functional Materials (18.808) |
N/A |
nanoparticle |
Chitosan |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
40 |
Fukuoka et al |
2018 |
The Pharmaceutical Society of Japan |
Biological and Pharmaceutical Bulletin (2.233) |
N/A |
nanoparticle |
Oligoarginin, CPP R6 |
in vivo |
plasma insulin level, glucose insulin level |
RQ3, RQ4 |
|
41 |
Zhang et al |
2017 |
ACS Publications |
Biomacromolecules (6.988) |
W/O/W solvent evaporation |
nanoparticle |
PLGA, Chitosan. |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
42 |
Wu et al |
2018 |
ACS Publications |
ACS Applied Materials & Interfaces (8,758) |
self-assembly nanoprecipitation |
nanoparticle |
PLGA, oktaarginin. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
43 |
Wu et al |
2017 |
Elsevier |
Journal of Controlled Release (9,776) |
self-assembly nanoprecipitation |
nanoparticle |
Butyrate |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
44 |
He et al |
2015 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
combination of double emulsion and solvent-evaporation and a thermal-sensitive hydrogel |
solid lipid nanoparticle |
Vitamin B12 |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
45 |
Sahoo et al |
2019 |
Elsevier |
Materials Today Communications (3.383) |
N/A |
particle |
Chitosan |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
46 |
Shan et al |
2016 |
ACS Publications |
ACS Applied Materials & Interfaces (8,758) |
self-assembly nanoprecipitation |
nanoparticle |
PVA |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
47 |
Sheng et al |
2016 |
Elsevier |
Journal of Controlled Release (9,776) |
N/A |
nanoparticle |
PLGA, Chitosan. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
48 |
Elsayed et al |
2018 |
MDPI |
Marine Drugs (5.118) |
N/A |
nanoparticle |
Chitosan, oleic acid. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
49 |
Mumuni et al |
2020 |
Elsevier |
Carbohydrate Polymers (9.381) |
Self-gelation |
nanoparticle |
Chitosan, aqueous soluble snail mucin |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
50 |
Yan et al |
2019 |
Springer |
AAPS PharmSciTech (3,246) |
N/A |
nanoparticle |
Chitosan |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
51 |
Boushra et al |
2016 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
emulsification solvent-evaporation technique to form double emulsion (w/o/w) |
solid lipid nanoparticle |
propilen glikol (PG), polietilen glikol (PEG) 400, PEG 600. |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
52 |
Niu et al |
2017 |
Elsevier |
Journal of Controlled Release (9,776) |
modified solvent displacement |
nanocapsule |
Polyarginine |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
53 |
Omid et al |
2017 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
N/A |
nanoparticle |
Chitosan, 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC). |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
54 |
Zhang et al |
2021 |
ACS Publications |
ACS Applied Materials & Interfaces (8,758) |
N/A |
silica nanoparticle |
Cetyltrimethylammonium bromide, Tetraethyl silicate, 1,3,5-trimethylbenzene, Nhydroxysuccinimide. |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
55 |
Zhou et al |
2020 |
Springer |
Journal of Nanobiotechnology (10.435) |
N/A |
nanoparticle |
Sodium alginate (ALG) |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
56 |
Winarti et al |
2018 |
Indonesian Journal of Pharmacy |
Indonesian Journal of Pharmacy (0,56) |
N/A |
self-nanoemulsifying drug delivery system (SNEDDS) |
miglyol 812N, tween 80, propylene glycol. |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
57 |
Liu et al |
2019 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
N/A |
nanocomplex |
Chitosan |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
58 |
Zhang et al |
2018 |
Royal Society of Chemistry |
Journal of Materials Chemistry B (6.331) |
N/A |
nanoparticle |
PGLA, alginate, chitosan. |
in vivo |
glucose insulin level |
RQ3, RQ4 |
|
59 |
Guo et al |
2016 |
Taylor & Francis |
Drug Delivery (3.095) |
emulsion-solvent evaporation |
nanoparticle |
PLGA; Stearyl-Tat (Ste-Tat); N,N,N-trimethyl-N-dodecyl chitosan. |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
60 |
Liu et al |
2019 |
Elsevier |
International Journal of Pharmaceutics (5,875) |
N/A |
self-emulsifying drug delivery systems (SEDDSs) |
Monoacyl phosphatidylcholine (MAPC), Labrasol (LAB). |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
61 |
Ansari et al |
2016 |
Taylor & Francis |
Drug Delivery (3.095) |
double emulsion solvent evaporation (w/o/w) technique |
solid lipid nanoparticles |
Dynasan 14, Soya lecithin, polyvinyl alcohol (PVA), PLGA, eudragit |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
62 |
Sun et al |
2015 |
Dove Medical Press Limited |
International Journal of Nanomedicine (6,400) |
emulsion solvent diffusion |
nanoparticle |
Poly- vinyl alcohol, PLGA, Eudragit® FS 30D |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
63 |
Alfaro et al |
2020 |
Elsevier |
Journal of Drug Delivery Science and Technology (3,981) |
N/A |
self- nanoemulsifying |
Lauroglycol FCC, surfactant (Cremophor EL) and co-surfactant (Labrafil M1944CS) |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
64 |
Koland et al |
2021 |
IJPER |
Indian Journal of Pharmaceutical Education and Research (0.425) |
modified solvent emulsification-evaporation |
solid lipid nanoparticle |
glyceryl behenate, glyceryl monostearate, sodium alginate |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
65 |
Heade et al |
2021 |
MDPI |
Pharmaceutics (6.321) |
N/A |
nanoparticle |
BiPro WPI (97%) |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
66 |
Agrawal et al |
2015 |
Royal Society of Chemistry |
RSC Advances (3.361) |
N/A |
nanoparticle |
chitosan, poly(sodium 4-styrenesulfonate) (PSS) |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
67 |
Xu et al |
2017 |
Elsevier |
Materials Science and Engineering C (7.328) |
N/A |
liposome |
PLGA, asam folat, kitosan, PVA |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
68 |
Zhu et al |
2016 |
Taylor & Francis |
Drug Delivery (3.095) |
N/A |
nanoparticle |
PLGA, cell-penetrating peptides (R8, Tat, penetratin), PVA |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
69 |
Liu et al |
2016 |
Taylor & Francis |
Drug Delivery (3.095) |
N/A |
nanoparticle |
PLGA–mPEG copolymers, Chitosan |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
70 |
Kaur et al |
2021 |
Elsevier |
International Journal of Biological Macromolecules (6.953) |
N/A |
emulsion |
piperin, albumin |
in vivo |
plasma insulin level |
RQ3, RQ4 |
|
71 |
Zhang et al |
2015 |
Elsevier |
Indian Journal of Pharmaceutical Education and Research (0.425) |
N/A |
nanoparticle |
PGA-g-DA, DMSO, Trimethyl Chitosan TMC/TMC-CSK, tripolyphosphate (TPP), magnesium sulphate (MgSO4) |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
72 |
Wang et al |
2020 |
Springer |
Journal of Nanobiotechnology (10.435) |
N/A |
lipid nanoparticles |
Soya phosphatidyl choline (LIPOID E80) |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
73 |
Guha et al |
2016 |
Taylor & Francis |
Drug Delivery (3.095) |
layer-by-layer |
mesoporous silica nanoparticles |
Tetra ethoxy silane (TEOS), 1, 3, 5 tri methyl benzene (TMB), Pluronic P123, Azodiisobutyronitrile, PMV [poly (methacrylic acidco-vinyl triethoxylsilane)] |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
74 |
Ukai et al |
2020 |
MDPI |
Pharmaceutics (6.321) |
N/A |
self-emulsifying |
caprylic acid (≥90%), capric acid (≤3.0%), lauric acid (≤3.0%), myristic acid (≤3.0%), palmitic acid (≤1.0%) |
in vivo |
glucose insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
75 |
Boushra et al |
2019 |
Elsevier |
Journal of Drug Delivery Science and Technology (3,981) |
emulsification solvent-evaporation |
Solid lipid nanoparticles |
PLGA, PEG |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
|
76 |
Elkhatib et al |
2021 |
Pharmaceutical Society of Japan |
Biological and Pharmaceutical Bulletin (2.233) |
ionotropic pregelation |
Nanoparticle |
sodium alginate, chitosan, dextran sulphate, calcium chloride dehydrate |
in vivo |
plasma insulin level |
RQ1, RQ2, RQ3, RQ4 |
CONCLUSION
Oral insulin faces various challenges in the gastrointestinal tract, such as insulin degradation by proteolytic enzymes at acidic gastric pH to lack of insulin permeability in intestinal epithelial cells. Various manufacturing techniques must be adapted to the physicochemical properties of insulin to maintain insulin stability so that it can provide an optimal therapeutic effect. The materials used in the manufacture of
nanocarriers are very influential in increasing the bioavailability of oral insulin due to their effect in paving the way for insulin across various barriers in the digestive tract. Until now, from various studies of oral insulin that have been developed, it has succeeded in obtaining oral insulin bioavailability of 73.10% achieved by using a mesoporous silica nanoparticles (MSN) delivery system with a layer-by-layer technique coated with a polymer [poly (methacrylic acid-co-vinyl triethoxylsilane)] (PMV)].
SUGGESTIONS
Based on the results of this systematic review, it can then be used as a basis for the development of new oral insulin formulas for bioavailability testing through in vivo studies. Future studies are expected to overcome the three main barriers to oral insulin while having a greater insulin loading capacity to achieve higher bioavailability.
ACKNOWLEDGEMENT
The author would like to thank the Ministry of Education and Culture of the Republic of Indonesia for the funds provided in the 2021 Student Creativity Program activities and Brawijaya University for the facilities provided.
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