CHARACTERIZATION OF INJECTION-INDUCED TISSUE SWELLING DURING SUBCUTANEOUS INJECTION OF BIOLOGICS

Abstract

Disclosed herein is a platform and method to quantify spatiotemporal tissue swelling during biologics injection, and to predict associated increase in the mechanical stress and interstitial fluid pressure (IFP) of tissues. Accurate measure and estimation of tissue swelling, thus, can be quantitative and predictive indicator of the IPD.

Claims

1. A system for measuring a biologics moiety associated injection-induced pain and discomfort (IPD), comprising: a. an engineered tissue construct (ETC) to receive the biologics moiety injection, wherein the ETC is fluorescence or otherwise labeled; b. an adjustable injection system, wherein the injection system is configured to provide the biologics moiety at a controlled rate to the labeled ETC; and c. an imaging system, wherein the imaging system is equipped with capacity to capture the labeled ETC image in a time-lapse fashion during the injection to determine the spatiotemporal deformation based on the ETC label position.

2. The system according to claim 1, wherein the biologics moiety is selected from the group consisting of vaccines, blood or blood components, somatic cells, tissues, recombinant therapeutic proteins, and the combinations thereof.

3. The system according to claim 1, wherein the ETC is derived from early human foreskin fibroblasts with minimum passage of about 10 generations.

4. The system according to claim 1, wherein the ETC further comprises adipocytes, hyaluronic acids and/or fibronectins.

5. The system according to claim 3, wherein the fibroblasts are labeled with quantum dots.

6. The system according to claim 5, wherein the labeled fibroblasts are suspended in type I collagen solution and molded into the ETC by polymerizing in a defined container.

7. The system according to claim 1, wherein the adjustable injection system comprises at least one injection needle that are manipulated to penetrate the ETC.

8. The system according to claim 1, wherein the adjustable injection system comprises a syringe pump to control the infusion rate of the biologics moiety to a hypodermic injection needle.

9. The system according to claim 1, wherein the adjustable injection system comprises a three-axis micro-manipulator and a needle holder.

10. The system according to claim 1, wherein the imaging system comprises a microscope and a charge-coupled device camera.

11. The system according to claim 1, wherein the imaging system further comprises a computer for camera/shutter control, image capture and image analysis.

12. The system according to claim 1, wherein the imaging system further comprises a beam splitter and shutter for illumination.

13. The system according to claim 1, wherein the imaging system acquires sequential images of labeled ETC during the injection period.

14. A method of measuring biologics moiety injection-induced pain and discomfort (IPD), comprising: a. Providing a system of claim 1; b. Injecting the biologics moiety at a controlled rate of about 0.3-3 ml/min through the injection system of claim 1; c. Capturing labeled cells sequential images continuously with about 0.2 second interval; d. Visualizing the acquired sequential images by cross-correlation to estimate the local deformation rates throughout the tissue.

15. The method according to claim 14, wherein the cross-correlation is conducted by interrogating consecutive images in a plurality of grid of 3232 pixels or 64/64 pixels windows and generating correlation peaks, wherein said peaks' location represents a deformation rate vector in the corresponding interrogation window.

16. The method according to claim 14, wherein the interrogation windows have at least 50% overlap.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0006] FIG. 1. Schematic of experimental setup.

[0007] FIG. 2. FIG. 2A: (a) Labeled fibroblasts, embedded in collagen matrix. FIG. 2B: (b) Quantum dots accumulate in the cytoplasm of dendritic fibroblasts.

[0008] FIG. 3. Brightfield (FIG. 3A) and fluorescence (TRITC filter, FIG. 3B) images of the engineered tissue during the injection.

[0009] FIG. 4. Deformation rate vector field indicating the tissue swelling during the injection.

DETAILED DESCRIPTION

[0010] While the concepts of the present disclosure are illustrated and described in detail in the figures and the description herein, results in the figures and their description are to be considered as exemplary and not restrictive in character; it being understood that only the illustrative embodiments are shown and described and that all changes and modifications that come within the spirit of the disclosure are desired to be protected.

[0011] Unless defined otherwise, the scientific and technology nomenclatures have the same meaning as commonly understood by a person in the ordinary skill in the art pertaining to this disclosure.

[0012] Methods

[0013] A schematic of the testing platform is shown in FIG. 1. The platform consists of injection system, imaging system and engineered tissue constructs (ETCs). The injection system infuses or injects biologic drugs and macromolecules into the ETCs at various injection rates to simulate a wide range of injection conditions. The ETCs are prepared by seeding quantum dot (QD)-labeled fibroblasts in collagen matrices whose mechanical and chemical properties are designed to mimic the dermal layer of skin. The imaging system including a fluorescence macro/microscope and a CCD camera images QD-labeled fibroblasts during injection of biologics drugs, and determine the spatiotemporal deformation of ETCs.

[0014] The detailed description of the construction of engineered tissues can be found in our prior publications [2, 3]. Briefly, the early human foreskin fibroblasts were cultured up to 17th passage and consistently harvested at 8090% confluency. The collected cells were labeled with quantum dots by being mixed with the labeling solution and incubated for 45 min. After incubation, the cells were washed twice to remove the excess quantum dots. To construct the engineered tissue mimicking the dermal layer of skin, the labeled fibroblasts were suspended in 1.5 mL of type I collagen solution containing 3 mg/mL collagen, and the cell concentration was 210.sup.5 cells/mL.

[0015] The collagen solution containing labeled fibroblasts was placed in a cylindrical hole punched through a PDMS layer filling a petri dish. The dimension of the hole is 11 cm.sup.21 cm. The engineered tissue was generated when the fibroblasts-contained collagen solution polymerized at 37 C. for 1.5 hours. After being incubated with complete culture medium for 24 hours, as shown in FIG. 2, the fibroblasts embedded in collagen matrix developed a dendritic morphology and were still labeled with QDs. FIG. 2B shows that the QDs accumulate in the cytoplasm.

[0016] As shown in FIG. 3A, a conventional 27-gauge needle was manipulated to penetrate into the engineered tissue. The injection rate ranged within 0.33 mL/min, which was lower than the subcutaneous injection rate in hospital due to the small size of the tested tissue. During the injection, the tissue was continuously imaged with a 0.2 s interval. As shown in FIG. 3B, the QD-labeled cells were visualized with a TRITC filter, and the fluorescence image showed the entire tissue was labeled by fluorescence particles.

[0017] The acquired sequential images were cross-correlated to estimate the local deformation rates throughout the tissue during the injection. Briefly, a pair of consecutive images was put into the DaVis software, and each of the images was divided into a grid of 3232 pixels (1 pixel equals 4 m) interrogation windows. The density of the fluorescence particle pairs was large enough to guarantee that there were typically more than 4 fluorescence particles in each interrogation window. The interrogation windows in the consecutive images were cross-correlated to generate correlation peaks, the location of which provided the deformation rate vector in the corresponding interrogation window. As shown in FIG. 4, a vector was generated in a 3232 pixels interrogation window containing 7fluorescence particles which were used to perform cross-correlation. Multi-pass processing was used with decreasing interrogation window size (2 iterations of 6464 pixels followed by 3 iterations of 3232 pixels) and 50% overlap.

Results and Discussion

[0018] A representative spatiotemporal deformation rate of the dermal equivalent is shown in FIG. 4. The deformation rate vector field of the tissue was determined in terms of pixel/s. The tissue swelling during the injection is clearly shown by the vector field, and the vectors indicating the largest local deformation rates locate close to the needle injection site. The largest deformation rate is up to 7 pixels/s which equals 28 m/s, and the deformation rate gradually decreases below 2 pixels/s which equals 8 m/s when it reaches the outskirt of the tissue. The region without vectors is due to that the needle blocks the view of the tissue, as well as that the deformation of the tissue due to the penetration of the needle causes the area near the injection site to be out of focus.

[0019] In the present study, we demonstrated the feasibility of measuring injection-induced deformation, which is expected to cause IPD using dermal equivalents and digital image correlation. Without being limited by any theory, the underlying rationale is that most nociceptors are present at the dermal layer, even though injection occurs at the SQ layer. The mechanical stress and fluid pressure stimulate nociceptors, which are primarily present at the dermis of the skin. However, we plan to further develop the ETCs by adding adipocytes, hyaluronic acids and fibronectins to create more realistic dermal and subcutaneous tissue models. The platform can also measure transport of biologic drugs at various injection conditions. Ultimately the platform will provide a reliable test bed to systematically design and optimize biologic drugs, their injection devices and schemes.

REFERENCES

[0020] [1] Jones, G. B., Collins, D. S., Harrison, M. W., Thyagarajapuram, N. R., & Wright, J. M. (2017). Subcutaneous drug delivery: An evolving enterprise. Science translational medicine, 9(405). [0021] [2] Sato, M., Takemura, M., & Shinohe, R. (2013). FRI0174 Pain assessment for subcutaneous injection of biologics in the treatment of rheumatoid arthritis. Annals of the Rheumatic Diseases, 72, A430. [0022] [3] Teo, K. Y., Dutton, J. C., & Han, B. (2010). Spatiotemporal measurement of freezing-induced deformation of engineered tissues. Journal of biomechanical engineering, 132(3), 031003. [0023] [4] Teo, K. Y., DeHoyos, T. O., Dutton, J. C., Grinnell, F., & Han, B. (2011). Effects of freezing-induced cell-fluid-matrix interactions on the cells and extracellular matrix of engineered tissues. Biomaterials, 32(23), 5380-5390.