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Shteinberg G, Haj-Ali R, Libonati F, Sharabi M. Plant Biomimetic Principles of Multifunctional Soft Composite Development: A Synergistic Approach Enabling Shape Morphing and Mechanical Robustness. ACS Biomater Sci Eng 2024; 10:3707-3717. [PMID: 38380517 PMCID: PMC11167591 DOI: 10.1021/acsbiomaterials.3c01163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/22/2024]
Abstract
Plant tissues are constructed as composite material systems of stiff cellulose microfibers reinforcing a soft matrix. Thus, they comprise smart and multifunctional structures that can change shape in response to external stimuli due to asymmetrical fiber alignment and possess robust mechanical properties. Herein, we demonstrate the biomimetics of the plant material system using silk fiber-reinforced alginate hydrogel matrix biocomposites. We fabricate single and bilamellar biocomposites with different fiber orientations. The mechanical behavior of the biocomposites is nonlinear, with large deformations, as in plant tissues. In general, the bilamellar system shows increased modulus, strain UTS, and toughness compared to the single-lamellar system for most of the tested orientations. Overall, the biocomposites present a wide range of elastic modulus values (3.0 ± 0.6-104.7 ± 11.3 MPa) and UTS values (0.23 ± 0.04-12.5 ± 2.0 MPa). The bilamellar biocomposites demonstrated shape-transforming abilities with diverse morphing modes, emulating different plant tissues and creating complex shape-morphing structures. These multifunctional biocomposites possess tunable and robust mechanical properties, controllable shape-morphing deformations, and the ability to self-controlled encapsulation, grip, and release objects. By harnessing biomimetic principles, these soft, smart, and multifunctional materials hold potential applications spanning from soft robotics, medicine, and tissue engineering to sensing and drug delivery.
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Affiliation(s)
- Gital Shteinberg
- Department
of Mechanical Engineering and Mechatronics, Ariel University, Ariel 407000, Israel
| | - Rami Haj-Ali
- School
of Mechanical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Flavia Libonati
- Department
of Mechanical, Energy, Management and Transportation Engineering, University of Genoa, Genova 16145, Italy
| | - Mirit Sharabi
- Department
of Mechanical Engineering and Mechatronics, Ariel University, Ariel 407000, Israel
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Sharabi M, Agron R, Dolev A, Haj-Ali R, Yassin M. Predictive Refined Computational Modeling of ACL Tear Injury Patterns. Bioengineering (Basel) 2024; 11:413. [PMID: 38790281 PMCID: PMC11118060 DOI: 10.3390/bioengineering11050413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
Anterior cruciate ligament (ACL) ruptures are prevalent knee injuries, with approximately 200,000 ruptures annually, and treatment costs exceed USD two billion in the United States alone. Typically, the initial detection of ACL tears and anterior tibial laxity (ATL) involves manual assessments like the Lachman test, which examines anterior knee laxity. Partial ACL tears can go unnoticed if they minimally affect knee laxity; however, they will progress to a complete ACL tear requiring surgical treatment. In this study, a computational finite element model (FEM) of the knee joint was generated to investigate the effect of partial ACL tears under the Lachman test (GNRB® testing system) boundary conditions. The ACL was modeled as a hyperelastic composite structure with a refined representation of collagen bundles. Five different tear types (I-V), classified by location and size, were modeled to predict the relationship between tear size, location, and anterior tibial translation (ATT). The results demonstrated different levels of ATT that could not be manually detected. Type I tears demonstrated an almost linear increase in ATT, with the growth in tear size ranging from 3.7 mm to 4.2 mm, from 25% to 85%, respectively. Type II partial tears showed a less linear incline in ATT (3.85, 4.1, and 4.75 mm for 25%, 55%, and 85% partial tears, respectively). Types III, IV, and V maintained a nonlinear trend, with ATTs of 3.85 mm, 4.2 mm, and 4.95 mm for Type III, 3.85 mm, 4.25 mm, and 5.1 mm for Type IV, and 3.6 mm, 4.25 mm, and 5.3 mm for Type V, for 25%, 55%, and 85% partial tears, respectively. Therefore, for small tears (25%), knee stability was most affected when the tears were located around the center of the ligament. For moderate tears (55%), the effect on knee stability was the greatest for tears at the proximal half of the ACL. However, severe tears (85%) demonstrated considerable growth in knee instability from the distal to the proximal ends of the tissue, with a substantial increase in knee instability around the insertion sites. The proposed model can enhance the characterization of partial ACL tears, leading to more accurate preliminary diagnoses. It can aid in developing new techniques for repairing partially torn ACLs, potentially preventing more severe injuries.
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Affiliation(s)
- Mirit Sharabi
- Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel 407000, Israel;
| | - Raz Agron
- Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel 407000, Israel;
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv 69978, Israel;
| | - Amir Dolev
- Department of Orthopedics, HaSharon Hospital, Rabin Medical Center, Petach Tikva 49372, Israel; (A.D.); (M.Y.)
| | - Rami Haj-Ali
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv 69978, Israel;
| | - Mustafa Yassin
- Department of Orthopedics, HaSharon Hospital, Rabin Medical Center, Petach Tikva 49372, Israel; (A.D.); (M.Y.)
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Li S, Du J, Huang Y, Gao S, Zhao Z, Chang Z, Zhang X, He B. From hyperglycemia to intervertebral disc damage: exploring diabetic-induced disc degeneration. Front Immunol 2024; 15:1355503. [PMID: 38444852 PMCID: PMC10912372 DOI: 10.3389/fimmu.2024.1355503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/05/2024] [Indexed: 03/07/2024] Open
Abstract
The incidence of lumbar disc herniation has gradually increased in recent years, and most patients have symptoms of low back pain and nerve compression, which brings a heavy burden to patients and society alike. Although the causes of disc herniation are complex, intervertebral disc degeneration (IDD) is considered to be the most common factor. The intervertebral disc (IVD) is composed of the upper and lower cartilage endplates, nucleus pulposus, and annulus fibrosus. Aging, abnormal mechanical stress load, and metabolic disorders can exacerbate the progression of IDD. Among them, high glucose and high-fat diets (HFD) can lead to fat accumulation, abnormal glucose metabolism, and inflammation, which are considered important factors affecting the homeostasis of IDD. Diabetes and advanced glycation end products (AGEs) accumulation- can lead to various adverse effects on the IVD, including cell senescence, apoptosis, pyroptosis, proliferation, and Extracellular matrix (ECM) degradation. While current research provides a fundamental basis for the treatment of high glucose-induced IDD patients. further exploration into the mechanisms of abnormal glucose metabolism affecting IDD and in the development of targeted drugs will provide the foundation for the effective treatment of these patients. We aimed to systematically review studies regarding the effects of hyperglycemia on the progress of IDD.
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Affiliation(s)
- Shuai Li
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Medical College, Yan’an University, Yan’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Jinpeng Du
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Yunfei Huang
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Shenglong Gao
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Medical College, Yan’an University, Yan’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Zhigang Zhao
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Zhen Chang
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - Xuefang Zhang
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
| | - BaoRong He
- Department of Spine Surgery, Honghui Hospital, Xi’an Jiaotong University, Youyidong Road, Xi’an, Shaanxi, China
- Shaanxi Key Laboratory of Spine Bionic Treatment, Xi’an, Shaanxi, China
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