Skip to main content

REVIEW article

Front. Neurosci., 06 September 2017
Sec. Neuroprosthetics
This article is part of the Research Topic Futuristic Neural Prostheses View all 29 articles

Invasive Intraneural Interfaces: Foreign Body Reaction Issues

  • 1NeXT: Neurophysiology and Neuroengineering of Human-Technology Interaction Research Unit, Università Campus Bio-Medico, Rome, Italy
  • 2Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico, Rome, Italy
  • 3Fondazione Alberto Sordi-Research Institute for Aging, Rome, Italy
  • 4Research Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico, Rome, Italy
  • 5Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico, Rome, Italy

Intraneural interfaces are stimulation/registration devices designed to couple the peripheral nervous system (PNS) with the environment. Over the last years, their use has increased in a wide range of applications, such as the control of a new generation of neural-interfaced prostheses. At present, the success of this technology is limited by an electrical impedance increase, due to an inflammatory response called foreign body reaction (FBR), which leads to the formation of a fibrotic tissue around the interface, eventually causing an inefficient transduction of the electrical signal. Based on recent developments in biomaterials and inflammatory/fibrotic pathologies, we explore and select the biological solutions that might be adopted in the neural interfaces FBR context: modifications of the interface surface, such as organic and synthetic coatings; the use of specific drugs or molecular biology tools to target the microenvironment around the interface; the development of bio-engineered-scaffold to reduce immune response and promote interface-tissue integration. By linking what we believe are the major crucial steps of the FBR process with related solutions, we point out the main issues that future research has to focus on: biocompatibility without losing signal conduction properties, good reproducible in vitro/in vivo models, drugs exhaustion and undesired side effects. The underlined pros and cons of proposed solutions show clearly the importance of a better understanding of all the molecular and cellular pathways involved and the need of a multi-target action based on a bio-engineered combination approach.

Introduction

The loss of a limb after amputation, altering motor and sensory functions, severely affects the daily lives of patients (Pasquina et al., 2006). Today's Robotics is able to offer sensorized mechatronic hands with amazing performance; to these devices, conventional body-powered or electromyographic control systems revealed to be inadequate. In order to overcome such issue, novel advanced neural prosthetic devices, which attempt to interface bidirectionally with the user through invasive microelectrodes implanted inside stump's peripheral nerves (Di Pino et al., 2013), are in developmental phase (Di Pino et al., 2009). Basically, these neural interfaces are used to deliver afferent information to the nervous system (sensory feedback) (Benvenuto et al., 2010; Di Pino et al., 2012; Raspopovic et al., 2014), and at the same time, to extract consciously-modulated neuronal signals (motor volition) from healthy portions of the nervous system (Figure 1). Then, through a variety of signal processing algorithms, these signals can be used to drive an external device, such as a prosthesis (Rossini et al., 2010). Such interfaces have the potential to bring crucial advancements to the user: (a) to get a more complex signal, compared to the muscular one, allowing to control more degrees of freedom of the prosthesis; (b) to transmit the sensory information to the central nervous system (CNS) allowing to feel and experience the environment; (c) to restore the original closed “sensory-motor loop” control, meaning to have prosthesis and user linked by a double connection where information can travel from one to the other in both directions. A closed loop control allows to accurately exploit in real time sensory information to drive motor command, while having the feed-back of the outcome of the command and constantly readjust it to reduce any deviation from the desired targeted action.

FIGURE 1
www.frontiersin.org

Figure 1. Prosthesis closed loop control.The continuity of the efferent motor pathway (in red) and the sensory afferent pathway (in blue) creates a double bidirectional connection between the User and the prosthesis. The prosthesis acts on, and experiments, the environment. In such way it is established a closed loop control that allows to have an almost real-time feedback of the effects of the motor commands and to correct them accordingly. The Invasive intraneural interface is the crucial component puts along both arms of the loop, since it mediates the information flow from the brain to the actuators of the prosthesis and from the sensors embedded on the prosthesis back to the brain. The Figure represents the sensorimotor loop superimposed on the body of the User (left), and a chart of the main components of the loop and their interrelation (right).

When developing new neural interfacing devices, the attempt of the researchers is, on one hand, to preserve some important features, such as biocompatibility and selectivity properties, and on the other hand, to minimize the correlated potential counterpart, such as immune response reaction, the invasiveness and the risks of the implanting procedure. In this review, we focus our attention on biological challenges, mainly because all the efforts to develop a more immune system-friendly recording/stimulating device will also prevent the complete loss of functionality over time and, in turn, the loss of all the improvements done for reaching high selectivity and implantable ease.

The Foreign Body Reaction

The placement of any therapeutic biomaterial-based device in the in vivo environment requires surgical actions that damage the target tissues (Anderson, 1988). Following those damages, all the processes to restore tissue homeostasis around the implant are part of the physiological regeneration called wound healing (Teller and White, 2009).

However, the continuous presence of any medical implants contributes to a long-term overstimulation of the immune system, which leads to chronic inflammation and poor wound healing. This unbalanced reaction, also known as the foreign body response or reaction (FBR), determines the implant failure and might have contributed to implant reduction functionality in human (Dhillon et al., 2005; Rossini et al., 2010; Horch et al., 2011; Raspopovic et al., 2014) and animal trials (Lago et al., 2007b; Badia et al., 2011; Groothuis et al., 2014; Harreby et al., 2015; Wurth et al., 2017), due to the formation of a cellular, protein mediated, capsule around the implant.

While it has been suggested that encapsulation is beneficial in interfaces, such as epimysial and cuff electrodes as it stabilizes the implant (Grandjean and Mortimer, 1986; Grill and Mortimer, 1998), FBR is an important issue to be solved in intraneural electrodes (Navarro et al., 2005), limiting device function over time, often forcing a premature removal (Badia et al., 2011). We can divide the FBR process in four major steps: (1) blood-plasma proteins adsorption to the foreign body; (2) monocyte recruitment and differentiation to macrophages; (3) macrophages activation and fusion to form giant cells; (4) fibroblasts recruitment and activation to form fibrotic tissue (Figure 2). Regardless of the tissue or organ into which a biomaterial is implanted, the initial inflammatory response is activated by injury to vascularized connective tissue. Immediately after implantation (step 1), proteins including fibronectin, vitronectin, albumin, fibrinogen and complement factors derived from blood-plasma will adsorb to biomaterial surfaces, generating a blood-based barrier that causes thrombosis, guides the movement of monocytes and neutrophils to implant surface and activates complement and coagulation cascade (Szaba and Smiley, 2002). Monocyte recruitment and differentiation to macrophages (microglia in CNS) (step 2) may continue up to weeks, and chemotactic factors are released over longer periods of time (Tang and Eaton, 1999). Plasma fibronectin, among all plasma proteins, after coating the implant surface, changes its conformation and seems to act specifically as receptor for fibroblast and additional macrophages (Keselowsky et al., 2007). This persistent inflammatory stimulus leads to chronic inflammation confined to implant site. More in details, the cytokine release (e.g., IL-4 and IL-13; IL-1β, and TNFα in CNS) from the microenvironment (Shen et al., 2004) leads to the fusion of the accumulated macrophages to form foreign body giant cells (FBGC) (step 3) (Anderson, 2000). Original purpose of FBGC formation, producing catabolic enzymes and acids, is to try to digest the foreign body; its side effect is the possibility of causing implant damage. Macrophages are probably the most important cells in chronic inflammation, because of the great number of biologically active products they produce, including multiple growth factors that are extremely important to promote: (i) further recruitment of monocytes/macrophages cell population; (ii) growth of fibroblasts and their differentiation in myofibroblasts (astrogliosis in CNS); (iii) blood vessels and epithelial cells regeneration (Anderson et al., 2008). The proliferation of myofibroblasts (step 4) in developing granulation tissue leads to active synthesis of extracellular matrix (ECM) components, such as collagen and proteoglycans to form the fibrous capsule, which is an attempt to isolate the foreign material from local tissue environment (de Fougerolles and Koteliansky, 2002; Diegelmann and Evans, 2004; Ratner and Bryant, 2004). The degree and extent of the macrophages (microglia in CNS) activation, leading to FBR at the implant site, is dependent on surface properties of the biomaterial (porosity, roughness, stiffness, and chemistry), the shape of the implant, the relationship between the surface area of the biomaterial and the volume of the implant. Thus, FBR may be likely controlled by acting on those factors. The efforts put on biomaterial studies to develop a more biocompatible device have led to understand some important FBR-modulating characteristics applied to build the more recent neural interfaces: (i) the acute response is proportional to the diameter of the interface, so smaller implant size elicits less fibroblasts (astrocytes) reactivity (Szarowski et al., 2003; Veiseh et al., 2015); (ii) the adhesion of serum components and macrophages (microglia) is decreased on hydrophilic materials (Leung et al., 2008); (iii) shape without sharp corners allows for a mild mechanical trauma insertion (Groothuis et al., 2014; Veiseh et al., 2015); (iv) material requires a degree of stiffness able to give the interface the right strength to bear the tissue tension and, at the same time, the flexibility to reduce the mismatch with the surrounding tissue (Schoen and Anderson, 2004; Moshayedi et al., 2014); (v) electrical contact symmetrically distributed along the interface contribute to a uniform current distribution (Harnack et al., 2004; Groothuis et al., 2014); (vi) roughness effects are still very unpredictable since they are cell-specific and dependent on the material and porosity (Christo et al., 2015).

FIGURE 2
www.frontiersin.org

Figure 2. Major FBR process steps in a nerve implanted with a neural interface. (A) Schematic image of the electrode (in yellow) inserted within the nerve (in white). (B) Zoom in of the nerve section, as in (A), implanted with the electrode (in white) with the metallic active contacts embedded (blue rectangles). This panel resumes the main steps of FBR over time, which are shown with different colors. Step 1 (in black): blood-plasma proteins adsorption to the foreign body; step 2 (in red): monocytes recruitment and differentiation into macrophages; step 3: macrophages activation (yellow) and fusion to form giant cells (purple); step 4 (in green): fibroblasts recruitment and activation to form fibrotic tissue. (C) Final stable encapsulation of the electrode with fibrotic tissue, where fibroblasts (in purple) form a compact dense tissue.

Intraneural Electrodes for Peripheral Nervous System (PNS)

This review is focused on peripheral nervous system (PNS) interfaces as they are a very attractive functional interface, and represent a good approach to study nerve system stimulation and recording. Compared to the CNS, the benefits coming from working on the peripheral nerve is a reduced invasiveness and the opportunity of using the motor and sensory fibers, both within the nerves, to create a bidirectional communication. Depending on nerve invasiveness, different types of electrodes have been developed to interface the PNS. Here we focus on intraneural electrodes because, if FBR-related biological issues will be addressed, they represent a good compromise between invasiveness and selectivity, so probably the best interface choice. Intraneural electrodes, such as LIFEs (longitudinal intrafascicular electrodes) (Yoshida and Horch, 1993; Lawrence et al., 2004), their evolution tfLIFEs (thin-film longitudinal intrafascicular electrodes) (Lago et al., 2007a), TIMEs (transverse intrafascicular multichannel electrodes) (Boretius et al., 2010), SELINE (self-opening intrafascicular neural interface) (Cutrone et al., 2015) are implanted within nerve fascicles, which leads to higher nerve fibers selectivity, lower axons stimulation threshold and better signal recording (Badia et al., 2011). Utah Slant Electrode Array (UEA) are arrays composed by tens of different length needles (Nordhausen et al., 1996) able to reach more fascicles. A more recent version of these arrays (Lacour et al., 2010) has a less rigid structure that can be deformed along with the nerve, allowing for a less trauma and tension at the interface and a lower risk for the nerve to be damaged. However, from the few experiments performed so far on PNS, concrete advancements compared to the other intraneural electrodes, in terms of long-term signal stability, cannot be gathered (Warwick et al., 2003; Branner et al., 2004). Compared to other implant devices, neural interfaces have the peculiarity to deliver current. As discuss later, it is still a matter of debate whether this has a relevant effect on FBR development.

Consequences of the FBR on Intraneural Electrode Performance

The fibrotic encapsulation occurring at the end of the FBR and the whole inflammatory response with the related increase of impedance at the electrode contacts, imposing continuous adjustments of stimulation parameters in terms of intensity and duration, seem to be the main causes of electrode failure in intraneural chronically-implanted devices (Lago et al., 2005; Kundu et al., 2014). In order to have intraneural electrodes applied in patients, as a part of a new prosthesis generation and even prospective wider applications (Di Pino et al., 2014), it is important to assess the electrical stability by monitoring performance over time. Unfortunately, this goal has not been achieved so far, due to the difficulties in studying the relative roles of cytokines and cell-material interactions during the inflammatory phases in vivo, the lack of their specific control and the wide range of experimental variables coming into play. Evidence of the electrical failure associated with FBR came from the wider experience on cortical electrodes implantation. In rat, it has been shown that electrodes elicit a significant FBR in terms of reactive gliosis which, in turn, changes also their impedance spectrum (Williams et al., 2007; Lempka et al., 2009; McConnell et al., 2009), confirming in vivo what has been found in a 3D culture of astrocytes and microglia encapsulating an electrode (Frampton et al., 2010). It has been also shown a correlation between the increased impedance of chronically implanted epineural electrodes in rats and the growth of fibrous tissue around the electrode contacts (Murphy et al., 2004). In cat brain, the electrical insulation, caused by the fibrotic encapsulation, affected electrode recording quality among different session (Schultz and Willey, 1976; Liu et al., 1999), as well as electrical impedance (Roitbak and Sykova, 1999). In the perspective of a long-term implantation, the functional consequence is that more reactive gliosis leads to higher impedance and requires higher stimulation intensity, in terms of delivered charge (Brown et al., 1977; Butson et al., 2006), which may even become not compatible with the in vivo applications. Routinely, tissue-component measurements of the impedance at the electrode implant site using impedance spectroscopy, has been proposed as a tool to monitor the proportional development of fibrous tissue, giving the researchers the possibility to check FBR over time and intervene meanwhile. The formation of fibrotic sheath is not the only FBR aspect that causes electrode failure, but tissue-electrode mismatch and micro-motion or nerve damage with neural cell loss also give a contribution (Groothuis et al., 2014). Longitudinal intra-fascicular Pt-LIFE and tfLIFE electrodes have been implanted in the sciatic nerve of rats (Lago et al., 2007b) and TIME electrodes have been also implanted in pig median nerve (Badia et al., 2011; Kundu et al., 2014; Harreby et al., 2015). In all cases, it has been found just a mild fibrous scar around the implant, increasing over time, with the presence of infiltrating macrophagic cells. Macrophages indicate an ongoing inflammatory reaction for up to 90 days, without any signs of axonal loss or degeneration. Stimulation tests demonstrated that the conduction velocity and amplitude of muscle response decreased in the first 4 weeks; however, the functional responses normalized during the following months. Recently it has been observed, up to 6 months, a specific correlation between the thickness of the fibrotic capsule around the implant in rat sciatic nerve and the stimulation threshold and electrode impedance increase. Moreover, it seems that electrical stimulation does not primarily contribute to enhance the FBR, suggesting that insertion trauma and chemical/mechanical mismatch represent the major players in the process (Wurth et al., 2017). Studies on humans implanted with intraneural electrodes have reported an increasing amount of electrical charge to be delivered over 4 weeks to evoke the same response after median nerve stimulation (Dhillon et al., 2005; Rossini et al., 2010; Horch et al., 2011; Raspopovic et al., 2014). These were the only data obtained, since the clear impossibility of matching the morphological evaluation of the tissue around the implant site with the hypothesis of an ongoing FBR. Although these studies have evaluated the intraneural electrode in long-term implants, they did not assess all the microscopic tissue-electrode changes following implantation.

Possible Strategies to Reduce FBR

There are many ways by which it is possible to interfere with the FBR, but none of them seemed to solve the issue. Thus, we think it is mandatory to elucidate molecular and cellular pathways involved in the host immune response triggered by the electrode, and how drugs, co-factors and biomaterials can affect them. However, this kind of studies is very challenging due to the lack of a good, reproducible in vitro model that recapitulates what physiologically happens in the nerve tissue architecture. The 3D in vitro model developed so far to quantify inflammatory response to biomaterial might be a starting point to reproduce an immune system cells environment within the nervous system (Almeida et al., 2014; Parks et al., 2014). Other challenges are present also in the in vivo model, meaning inter-species variabilities and the difficulties of monitoring the roles of each cellular component and cytokine network involved in FBR. Moreover, all the issues related to how to specific deliver, locally or systemically, any kind of bio-active anti-inflammatory substance over the time should be analyzed. This review highlights the development of strategies with regulating effect on the FBR, with important implications for PNS stimulation and for the possibility to create implanted long-term functional medical devices. We propose a systematic approach for FBR by linking each step of the FBR process (i.e., blood and plasma proteins adsorption to the foreign body; monocyte recruitment and differentiation to macrophages and their fusion to form giant cells; fibroblasts recruitment and activation to form fibrotic tissue) with possible solutions. These solutions, of which pros and cons are underlined, are a selection, from literature and the related research field, of what we think is the most promising strategy. Based on these premises, we focus on and provide two main directions to overcome FBR and promote interface stability: (1) acting on the interface properties and (2) acting on the interface-microenvironment interaction.

Acting on the Interface Itself

This means to modify shape and material of electrodes, including the use of immobilized protein coatings or organic coatings (Figure 3). Most of the novel intraneural electrodes are made of a polyimide core with metallic tracks, typically platinum (Pt), platinum-iridium (Pt-Ir) and gold (Brummer et al., 1983; Geddes and Roeder, 2003). Those metals seem to be the best choices for stimulating electrodes due to their electrochemical stability, poor biological reactivity and corrosion resistance (Merrill et al., 2005; Polikov et al., 2005).

FIGURE 3
www.frontiersin.org

Figure 3. Ultra low fouling coatings to modulate protein adsorption to the interface. Schematic image of nerve section implanted with the electrode. The first two steps of the FBR are shown: blood-plasma proteins (in black: fibrinogen mainly) adsorption to the electrode (in yellow with metallic contacts as blue rectangles) and monocytes recruitment at the fibrinogen site and differentiation into macrophages. The table resumes the actions that can be done to modify electrode surface. The creation of ultralow fouling neural interface coatings can modulate monocytes-fibrinogen interaction: pros (red column) and cons (blue column) of organic coatings, synthetic coatings and immobilized protein on organic and synthetic coatings are evaluated.

Because nonspecific absorption on the device surface is the main step triggering the FBR, acting on the non-fouling quality of the material may prevent the capsule formation. Carbon nanotubes (CNTs), conductive polymers (CPs), conductive hydrogels (CHs) are the latest materials under investigation for a stable neural interface (Aregueta-Robles et al., 2014). All of them are organic materials, making them easily bio-functionalized to increase biocompatibility and electrochemical surface area and, in turn, improve performance over time.

CNTs are small, biologically inert (Seidlits et al., 2008) and enhance electrical properties of the electrode (Green et al., 2008; He et al., 2011; David-Pur et al., 2014), however they are cytotoxic at high concentration (Bottini et al., 2006; Tian et al., 2006).

An innovative and promising material developed from CNT is a nanostructured boron-doped diamond (BDD) made of vertically aligned nanotubes template encapsulated in two BDD nanolayers. Such biomaterial seems to be well suited for neural interface since it combines the diamond electrochemical properties, providing good neural stimulation and recording performance, with the structural stability of the nano-structure. The concerns about the cytotoxicity were addressed by some in vitro and in vivo (subcutaneous implant up to 4 weeks) experiments that have shown good biocompatibility together with lower inflammation response and smaller fibrous capsule formation (Piret et al., 2015; Alcaide et al., 2016).

Poly (3,4-ethylenedioxythiophene) PEDOT and some of its modified versions, are the most promising CPs that have been evaluated, and they have been shown to improve electrochemical impedance (Kim et al., 2004, 2008; Abidian et al., 2010; Green et al., 2013) and charge injection limit as a result of the PEDOT roughness within a hydrated environment (Cui et al., 2003; Ravichandran et al., 2010; Green et al., 2013). Despite some promising results in vitro (Bolin et al., 2009; Evans et al., 2009; Green et al., 2009), there are no in vivo results supporting conductive polymers long-term mechanical and bio-stability (Wilks et al., 2011).

Poly (ethylene glycol) PEG (Drury and Mooney, 2003) and poly (2-hydroxyethyl methacrylate) PHEMA (Mario Cheong et al., 2014) synthetic hydrogels are the most widely low-fouling material used in vivo, but their long-term application is limited due to oxidative mechanisms partially reducing non-specific protein absorption.

Recently, a new class of ultra-low-fouling biomaterial, called zwitterionic hydrogels, are under consideration for their biomimetic and proangiogenic properties, and because they are very easy to be functionalized by incorporating bioactive molecules (Willerth and Sakiyama-Elbert, 2007), such as growth factors or drugs. Zwitterionic hydrogels, prepared from carboxybetaine, not only strongly resist the formation of the fibrotic capsule in a mouse model for at least 3 months, but they are also able to more effectively recruit pro-healing macrophages phenotype and enhance micro-vessels formation in the surrounding tissue (Zhang et al., 2013).

The issue that hydrogels do not improve electrical properties might be solved in the future by incorporating some conductive components, such as conductive polymers (CPs) like PEDOT, previously analyzed. Basically, the CP-hydrogels hybrids will join the mechanical stability and biocompatibility of the hydrogels with the enhanced electrical features of the CPs, resulting from their rough morphology and from the incorporation of some dopant ions, including poly-styrene sulphonate (PSS), paratoluene sulphonate (pTS), dexamethasone phosphate (Dex-P), and perchlorate (ClO4). There are some promising preliminary in vitro studies that need to be confirmed by successful in vivo performances (Green et al., 2013; Aregueta-Robles et al., 2014). Moreover, it is important to deeper understand how the two polymers integrate one another in order to control the system structure and function to meet the long-term electrode stimulation requirements.

In contrast to synthetics, organic biomaterials and hydrogels composed of ECM components, collagen (Suri and Schmidt, 2010), hyaluronic acid (Hsieh et al., 2014), fibrin (Ahmed et al., 2008), and alginate (Banerjee et al., 2009) represent a better choice, because they exhibit superior biocompatibility (Kim et al., 2007; Fujihara et al., 2010) and have been shown to effectively regulate the macrophage adhesion and activation in vitro, as well as the capsule formation in vivo (Hsieh et al., 2014). Previous studies have found that allogeneic human ECM proteins are well tolerated by the host and do not appear to elicit either a cell mediated or humoral immune response (Allaire et al., 1994, 1997). Moreover, in a futuristic picture, a patient own biopsied cells could also be used to create autograft material. However, to these days, the production of an autograft material would require preoperative cell harvest followed by a moderate cultivation period (weeks/months), limiting its use to clinical applications, only if time is not a critical factor.

Short-Term Acting on the Interface-Microenvironment

This intervention includes coupling the implant with absorbable scaffolds (Chan and Leong, 2008) that make the local delivery of FBR blocking drugs (anti-inflammatory, anti-fibrotic) possible at high concentration, but for a period of time limited by scaffold degradation. Looking for a reduced FBR on the surface of the implants, the material chemistry has been optimized and functionalized to reduce protein deposition, the first step of FBR (Thevenot et al., 2008; Goodman et al., 2013). Therapeutic molecules, such as growth factors or anti-inflammatory drugs, have been embedded onto the implant surface for slow release into the tissue microenvironment (Couto et al., 2012; Goodman et al., 2013; Lerner and Dombrowski, 2015). However, they just seem to delay and not prevent the FBR.

Delivery of Anti-inflammatory Agents

Pro-inflammatory and cytotoxic soluble factors secreted by reactive macrophages at the device-tissue interface, are the most likely mediators of the cellular changes underlying the FBR. Based on this assumption, electrodes developed in a way that can reduce macrophages activation, or the concentrations of their released soluble factors surrounding the implant, will affect the severity of the FBR. Some potential strategies to reduce FBR are decreasing the amount of device surface area for macrophage interaction/activation and, more intriguing, incorporating permeable coatings that release cytokines to improve clearance of macrophage-released factors (Figure 4). Based on work in which anti-inflammatory minocycline drug administration seemed to improve recording performance (Rennaker et al., 2007), probe coatings that locally released anti-inflammatory dexamethasone were developed (Zhong and Bellamkonda, 2007). While systemic dexamethasone administration was long-term effective but caused undesirable side effects (Zhong and Bellamkonda, 2007), dexamethasone coatings significantly reduced activated macrophages and improved impedance measurements (Spataro et al., 2005; Kim and Martin, 2006; Mercanzini et al., 2010) 1 week post-implantation in rat cortex. Unfortunately, this reduction effect was lost after 4 weeks, probably because of the drug source exhaustion. If this were the case, a chronic anti-inflammatory regimen might be needed to reduce the FBR through the whole lifetime of the implanted device.

FIGURE 4
www.frontiersin.org

Figure 4. Anti-inflammatory agents to modulate the interface-microenvironment immune-mediated interaction. Schematic image of nerve section implanted with the electrode. The third step of the FBR is shown: monocytes are activated into pro-inflammatory macrophages M1 (in yellow) and they fuse together to form giant cells (in purple). Pro-inflammatory and cytotoxic soluble factors, secreted by reactive macrophages at the device-tissue interface, are the most likely mediators of the cellular changes underlying the FBR. The table resumes anti-inflammatory agents (drugs, siRNA, miR) that can modulate the interface-microenvironment immune-mediated interaction. Pros (in red) and cons (in blue) of acting on some mediators of pro-inflammatory pathways are summarized.

Lots of drugs, extensively investigated as potent cell cycle regulators in cancer, may represent a good target to prevent also the fibroblasts hyperproliferation that occurs in FBR. Rapamycin, a specific mTOR inhibitor, has been reported to be effective in modulating in vivo fibrosis not only in cardiac and pulmonary context, but also in the FBR, as a key activator of collagen type I. A device-based local delivery of siRNA (small interfering RNA) against mTOR has been tested to inhibit fibrous encapsulation in a murine subcutaneous implant model (Takahashi et al., 2010). In general, targeting siRNA in a systemic disease represents a risk for pathological off-target effects, such as silencing unintended genes (Singh et al., 2011), but, in the context of the localized process of the FBR, this issue can be overcome with a polymer-based delivery system. Therefore, siRNA-releasing hydrogel-coated device has been used to suppress fibroblast proliferation and down-regulate type I collagen mRNA expression. Even if they were not able to reproduce in vivo the same good results got in vitro, the use of specific siRNA targeting fibroblasts, combined with the local delivery, remains an attractive therapy (Ozcan et al., 2015). Problems, such as siRNA degradation or better transfection efficacy, need to be solved in order to better exploit the siRNA specificity for a successful application in the FBR context. A better choice could be the use of chemically modified antisense miRs (microRNA). They have been proposed as good candidates to re-direct host immune response toward implant integration (Ong et al., 2015), in particular to promote anti-inflammatory polarization of adherent macrophages (M2), for example with IL-4, IL-10, IL-13 (van Putten et al., 2009; Sica and Mantovani, 2012). Compared to siRNA/shRNA, miRs are stable in blood plasma because they are normally secreted by immune system (Hunter et al., 2008; Mitchell et al., 2008; Weber et al., 2010) and they can act on different targets, exerting a wider effect on multiple pathways and biological mechanisms (Lim et al., 2005; Selbach et al., 2008).

Delivery of Anti-fibrotic Agents

The last step of FBR development is represented by the formation of the fibrotic tissue encapsulating the intraneural interface (Figure 5). Fibrosis is deeply studied (Rosenbloom et al., 2013) due to the wide range of diseases and organ-specific disorders that are characterized by its devastating effects (Schnaper and Kopp, 2003; Bataller and Brenner, 2005; Varga and Abraham, 2007; Cowper, 2008). Although they have a quite different etiology, all the fibrotic processes share common features and mechanisms, leading to the presence of activated fibroblasts or myofibroblasts, expressing the activation marker α-SMA (smooth muscle actin) and producing ECM macromolecules, such as fibrillary type I and type III collagens (Abraham et al., 2007; Krieg et al., 2007). Since the molecular processes involved in fibrosis are very complex and different signaling pathways are activated, a variety of compounds targeting those pathways have been developed as potential anti-fibrotic drugs and they should be considered for their potential effectiveness in FBR context as well.

FIGURE 5
www.frontiersin.org

Figure 5. Anti-fibrotic agents to modulate the interface-microenvironment interaction. Schematic image of nerve section implanted with the electrode. The fibrotic process, the last step of FBR, is shown (in green) and represents the fibroblasts recruitment at the implanted inflammation site and their activation to produce extracellular matrix components to form a final dense connective tissue. The table resumes anti-fibrotic agents that can modulate the interface-microenvironment interaction: pros (in red) and cons (in blue) of potential anti-fibrotic drugs targeting mediators of fibrosis are evaluated.

TGF-β (Transforming Growth Factor-β) signaling is undoubtedly the predominant pathway in fibroblast activation process and its deregulation occurs in essentially all fibrotic reactions. There are two different strategies to act on TGF-β: (i) to directly interfere with its expression and activation, and (ii) to inhibit its receptor and the downstream signaling. Pirfiridone, a TGF-β gene suppressor, has been evaluated in pulmonary (Antoniu, 2006), and in liver fibrosis (Westra et al., 2014), showing its ability to attenuate the fibrotic progression. On the contrary, the clinical trial on CAT-192, the human monoclonal antibody against TGF-β1, has not shown promising results so far. The reason for that can be found in some untoward wide-ranging effects due to the total block of TGF-β (Denton et al., 2007). As for the receptor and pathway inhibitors, there have been several studies on SM305, a specific inhibitor of TGF-β receptors ALK4 and 5, and on SIS3, a specific Smad3 inhibitor (Jinnin et al., 2006). Both of them exert their anti-fibrotic activity in vitro and in vivo, abrogating TGF-β induced ECM gene expression and fibroblasts transdifferentiation (Ishida et al., 2006).

Imatinib, Sorafenib and Sunitinib are a generation of tyrosine kinase inhibitors that mainly target PDGF (Platelet derived growth factor) pathway, whose inhibition enhances the anti-fibrotic effect of TGF-β blocking drugs. They have been shown to prevent kidney, liver, lung and skin fibrosis formation in several animal models (Daniels et al., 2004; Wang et al., 2005; Yoshiji et al., 2005; Distler et al., 2007; Akhmetshina et al., 2009).

Further interesting kinase in the TGF-β downstream pathway is Rho-associated kinase (ROCK), which plays a role in the actin cytoskeleton reorganization during the activation of fibroblasts into myofibroblasts (Riento and Ridley, 2003; Shimizu et al., 2005). Y27632 (Akhmetshina et al., 2008) and fasudil (Mohri et al., 2003) are two ROCK inhibitors that have been effectively used to block myofibroblasts formation. The absence of cell toxicity makes them good anti-fibrotic candidates.

TGF-β triggers other pro-fibrotic pathways, such as Wnt, Hedgehog and Notch whose inhibitors, respectively, Dkk-1 (Akhmetshina et al., 2012), LDE223, and DAPT are currently under evaluation. Data suggest that Dkk-1, investigated in other diseases, is able to block the pro-fibrotic TGF-β signal; LDE223, evaluated in anti-cancer trial with minimal toxicity, is able to prevent bleomycin-induced dermal fibrosis (Horn et al., 2012) and DAPT is effective on pulmonary and dermal fibrosis in animal model (Kavian et al., 2010; Dees et al., 2011).

It is important to point out that systemic administration of all these anti-fibrotic agents, on one hand, might be not effective due to their rapid degradation and consequent inability to reach a good concentration at the implant site, and, on the other hand, it might raise some safety issues because of their pleiotropic physiological effects. It is very reasonable to think about a topical drug delivery to modulate the local TGF-β pathway activation, since there are already some studies testing this issue on skin fibrosis (Santiago et al., 2005), skin cancer (Mordasky Markell et al., 2010), and corneal fibrosis (Jester et al., 1997). In these studies, the topical use of TGF-β receptor inhibitor or TGF-β blocking antibody showed a remarkable suppression of skin fibrosis via lipogel treatment on shaved skin, a significantly reduction of the fibrotic component of papillomas via injection in the tumor area, and an important modulation of corneal fibrosis via eyewash on the eye. These drugs, even if used in a context different from the intraneural interface field, exert their effects modulating targets of the TGF-β downstream pathway which are common in all types of fibrosis. For the topical administration of TGF-β inhibitors in proximity of implanted electrode, it seems to us very important to evaluate the efficacy of the release perineurally and intraneurally, and to find the best dose to use over time without cytotoxic effects.

Conclusions and Future Perspectives

Over the last years, the use of intraneural interfaces has increased in a wide range of applications, such as the control of a new generation of neurally-interfaced prostheses. At present, the success of this technology is limited by an inefficient transduction of the electrical signal, mostly due to the formation of a fibrotic tissue around the implant caused by the FBR. There are many ways by which it is possible to interfere with the FBR, but none of them seems to have solved the issue so far. Starting from recent developments in biomaterials and from novel approaches to inflammatory/fibrotic pathologies, in this review, we have explored and selected the biological solutions that might be adopted in the neural interfaces FBR context.

In particular, we have focused on and provided two main directions to overcome FBR and promote interface stability: acting on the interface properties and acting on the interface-microenvironment interaction. Hitherto, we tried to objectively highlight pros and cons of each approach and, in the following line, we critically state which one, in our opinion, seems the most promising.

Acting on the interface properties, meaning modifying porosity, roughness, stiffness, chemistry with specific surface coatings, is probably the most efficient and feasible strategy, since it modulates the FBR from the initial plasma protein absorption to the interface, the first trigger of the FBR cascade. These coatings are long-term chemically stable, small enough to not alter the surface shape, biocompatible; they can be very easily functionalized and their chemical and electrical properties can be improved. Having the competence and the suitable instrumentation, it is more feasible to modify a material physically and chemically and then directly test it in vivo, than having to deal with the choice of a specific target of the complex downstream activated pathway. Indeed, acting on the interface-microenvironment foresees the use of drugs that target the complicated immune system components or the fibroblast cell population. This option, even if doable, requires a more comprehensive evaluation and a more complex set up: i) a good, reproducible in vitro model that recapitulates what physiologically happens in vivo-so far, there are few 3D in vitro model, still not consistent enough, but they might be a starting point to reproduce an immune system cell environment within the nervous system-; ii) the choice of dose and how to specifically deliver any kind of anti-inflammatory/fibrotic substance over the time in order to avoid cytotoxic effects. The choice of a systemic delivery has undesirable long-term and wide-range effects, while topic delivery from specific scaffolds has a limited lifetime. Local release with a tested concentration appears to be a better solution, since it elicits a more specific and less toxic response in the area surrounding the interface. The issue of refilling the scaffold can be overcome by specific technologies for a long-term release, even if it adds more variables to the system. In our opinion, acting on the interface-microenvironment is more difficult to handle and evaluate, is less stable over time, produces more undesirable effects and has less impact on the FBR.

However the possibility of developing a futuristic material to promote electrode bio-integration could open new ways toward the immune response modulation strategy. A promising approach may come from the development of “bio-scaffolds” (Struzyna et al., 2015).

The novelty of this type of scaffolds is the incorporation of living cells (Eberli and Atala, 2006; Korecka et al., 2007), with the main purpose of the creation of a biological interface covering and hiding the electrode, so that the immune system does not recognize it as non-self body (Cullen et al., 2011a,b; Cullen and Smith, 2013) and does not trigger the inflammatory response. The scaffold, placed on an intraneural electrode, can provide a 3D, anisotropic biomaterial structure for different types of cells. A futuristic approach may even see the use of stem cells or autologous nervous cells to avoid host tissue inflammation and over-engineered cells that secrete factors to completely inhibit some FBR driven pathways and promote physiological integration, overcoming the lifetime limitation of soluble factors loaded or coated scaffolds (Eberli and Atala, 2006; Madduri et al., 2010; Rosenstein et al., 2010). Moreover, in case of nerve fiber damage, demyelination and axon retraction, which is a risk that we cannot exclude during the insertion of the intraneural electrode, these scaffolds could secrete trophic factors (Korecka et al., 2007), such as nerve growth factor, glial derived neurotrophic factor, insulin growth factor (Fine et al., 2002; Apel et al., 2010; Madduri et al., 2010; Yan et al., 2012), that mimic the microenvironment, helping cells to restore the damaged nerves (Thompson et al., 2016). Hitherto, in order to create these bio-scaffolds, there are few novel technologies available: (i) 3D printing, that has the advantage of having control over stiffness, pore size and integration of soluble factors and cells more closely resembling the in vivo environment (Lee et al., 2014); (ii) “cells electrospinning,” for generation of cell fibers integrated in a scaffold (Arumuganathar and Jayasinghe, 2008); (iii) intraneural electrode with cells electrospinned microchannels coupled with an already existing micro-fluidic technology (Takehara et al., 2014), developed for low invasive biocompatible installation and drug delivery.

The analysis done so far is comprehensive, but the insights we can gather on the successful strategy to overcome intra-peripheral nerve electrode FBR are limited by the following issues: (a) most of the studies on the topic were performed in the CNS; (b) most of the long-term experiments with intraneural electrodes were performed in rats that exhibit different inflammatory response and fibrotic reaction compared to human, also due to the different electrode/nerve size ratio; (c) only one experiment, which lasted <30 days, was done in a large animal (pig); (d) the few implants of intraneural electrodes in human subjects published so far did not established a direct correlation between functional data and FBR. In order to be able to manage intraneural electrodes and deeply understand their real efficacy and clinical applicability, further long-term implants are warranted.

Despite the likely impact of FBR on the long-term implant functionality, it is indeed not possible to estimate the exact incidence or provide statistical data. This is due to the lack of a consistent number of systematical studies involving a coherent group of animals, significant time-points and a reliable general method to measure FBR.

For our scope, how to achieve a reliable measure of FBR is a pertinent topic, but actually, there are no standardized scales; here we summarize the approaches used so far in vitro and in vivo. In vitro, it is possible a direct quantification on fixed tissues from animal model, where macroscopic and microscopic analyses can be made. The general morphological evaluation of the nerve and the capsule surrounding the implant is performed through the histological analysis of the nerve sections, while the grade of inflammatory response is evaluated by immunohistochemistry (IHC) for macrophages and the impact of fibrosis on nerve fiber density by IHC for axons and myelin markers.

Today, only indirect FBR measures have been used in vivo, such as the impedance of the electrode contacts which, despite being influenced by multiple factors, correlates with fibrotic tissue development. Indeed, a repeated monitoring of impedance spectrum change can give interesting information on FBR development over time.

Moreover, linked with an impedance increase, FBR alters nerve conduction. Nerve conduction studies provide electrophysiological parameters (amplitude and latency of motor and sensory evoked responses: compound motor action potential-CMAP- and compound nerve action potential-CNAP) that are considered good predictors of an ongoing FBR (Badia et al., 2011; Wurth et al., 2017). In an in vivo human application perspective, it would be also very useful to improve some existing non-invasive imaging techniques to gather structural data on FBR, such as echography, with a spatial resolution good enough to discriminate and evaluate the small area around the nerve implant.

A final important consideration is that, compared to other implant devices, neural interfaces have the peculiarity to deliver currents. It is still matter of debate whether this is relevant for FBR development. So far, the only data correlating electrical stimulation with a side effect on surrounding tissues came from brain studies where intracortical stimulating electrodes caused a thicker layer of fibrosis, compared to the non-stimulating ones (Dauth et al., 1977). The size of the lesion, the inflammatory response and the final fibrosis influence local electrical field, charge density and duration of stimulation, due to electrochemical reactions and overheating at the implant site (van Kuyck et al., 2007). However, in a recent publication it has been reported that electrical stimulation does not primarily contribute to enhance the FBR, thus insertion trauma and chemical/mechanical mismatch represent the major players in this process (Wurth et al., 2017). Therefore, even if all the intraneural technology uses a safe range of electrical parameters, thus allowing a prospective clinically-safe stimulation and recording process, it is very important to deeply understand the processes affecting the FBR-stimulation relation. To present knowledge, despite we cannot exclude a peculiar effect of current delivering on post-implantation tissue response, there is not enough scientific evidence to exploit the modulation of the stimulation parameters (waveform and frequency) as an additional strategy to reduce FBR.

Author Contributions

FL designed the paper, analyzed the literature and wrote the paper. FR and GD designed the paper, supervised the writing, wrote and revised the paper. GV, LZ deeply revised the paper. All the authors read and approved the manuscript.

Funding

This work was supported partly by the Italian Institute for Labor Accidents (INAIL) in the framework of the PPR 2 project (CUP: E58C13000990001) and PCR1/2 project (E57B16000160005) and partly by the European Research Council (ERC) Starting Grant 2015 RESHAPE: REstoring the Self with embodiable HAnd ProsthesEs (ERC-2015-STG, project n. 678908).

Conflict of Interest Statement

The 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.

Acknowledgments

The authors gratefully acknowledge Professors Eugenio Guglielmelli, Vincenzo Di Lazzaro and Vincenzo Denaro for giving valuable feedback on the manuscript.

References

Abidian, M. R., Corey, J. M., Kipke, D. R., and Martin, D. C. (2010). Conducting-polymer nanotubes improve electrical properties, mechanical adhesion, neural attachment, and neurite outgrowth of neural electrodes. Small 6, 421–429. doi: 10.1002/smll.200901868

PubMed Abstract | CrossRef Full Text | Google Scholar

Abraham, D. J., Eckes, B., Rajkumar, V., and Krieg, T. (2007). New developments in fibroblast and myofibroblast biology: implications for fibrosis and scleroderma. Curr. Rheumatol. Rep. 9, 136–143. doi: 10.1007/s11926-007-0008-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahmed, T. A., Dare, E. V., and Hincke, M. (2008). Fibrin: a versatile scaffold for tissue engineering applications. Tissue Eng. B Rev. 14, 199–215. doi: 10.1089/ten.teb.2007.0435

PubMed Abstract | CrossRef Full Text | Google Scholar

Akhmetshina, A., Dees, C., Pileckyte, M., Szucs, G., Spriewald, B. M., Zwerina, J., et al. (2008). Rho-associated kinases are crucial for myofibroblast differentiation and production of extracellular matrix in scleroderma fibroblasts. Arthritis Rheum. 58, 2553–2564. doi: 10.1002/art.23677

PubMed Abstract | CrossRef Full Text | Google Scholar

Akhmetshina, A., Palumbo, K., Dees, C., Bergmann, C., Venalis, P., Zerr, P., et al. (2012). Activation of canonical Wnt signalling is required for TGF-beta-mediated fibrosis. Nat. Commun. 3:735. doi: 10.1038/ncomms1734

PubMed Abstract | CrossRef Full Text | Google Scholar

Akhmetshina, A., Venalis, P., Dees, C., Busch, N., Zwerina, J., Schett, G., et al. (2009). Treatment with imatinib prevents fibrosis in different preclinical models of systemic sclerosis and induces regression of established fibrosis. Arthritis Rheum. 60, 219–224. doi: 10.1002/art.24186

PubMed Abstract | CrossRef Full Text | Google Scholar

Alcaide, M., Taylor, A., Fjorback, M., Zachar, V., and Pennisi, C. P. (2016). Boron-doped nanocristalline diamond electrodes for neural interfaces: in vivo biocompatibility evaluation. Front. Neurosci. 10:87. doi: 10.3389/fnins.2016.00087

PubMed Abstract | CrossRef Full Text | Google Scholar

Allaire, E., Bruneval, P., Mandet, C., Becquemin, J. P., and Michel, J. B. (1997). The immunogenicity of the extracellular matrix in arterial xenografts. Surgery 122, 73–81. doi: 10.1016/S0039-6060(97)90267-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Allaire, E., Guettier, C., Bruneval, P., Plissonnier, D., and Michel, J. B. (1994). Cell-free arterial grafts: morphologic characteristics of aortic isografts, allografts, and xenografts in rats. J. Vasc. Surg. 19, 446–456. doi: 10.1016/S0741-5214(94)70071-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Almeida, C. R., Serra, T., Oliveira, M. I., Planell, J. A., Barbosa, M. A., and Navarro, M. (2014). Impact of 3-D printed PLA- and chitosan-based scaffolds on human monocyte/macrophages responses: unraveling the effect of 3-D structures on inflammation. Acta Biomater. 10, 613–622. doi: 10.1016/j.actbio.2013.10.035

CrossRef Full Text | Google Scholar

Anderson, J. M. (1988). Inflammatory response to implants. ASAIO Trans. 34, 101–107. doi: 10.1097/00002480-198804000-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, J. M. (2000). Multinucleated giant cells. Curr. Opin. Hematol. 7, 40–47. doi: 10.1097/00062752-200001000-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, J. M., Rodriguez, A., and Chang, D. T. (2008). Foreign body reaction to biomaterials. Semin. Immunol. 20, 86–100. doi: 10.1016/j.smim.2007.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Antoniu, S. A. (2006). Pirfenidone for the treatment of idiopathic pulmonary fibrosis. Expert Opin. Invest. Drugs 15, 823–828. doi: 10.1517/13543784.15.7.823

PubMed Abstract | CrossRef Full Text | Google Scholar

Apel, P. J., Ma, J., Callahan, M., Northam, C. N., Alton, T. B., Sonntag, W. E., et al. (2010). Effect of locally delivered IGF-1 on nerve regeneration during aging: an experimental study in rats. Muscle Nerve 41, 335–341. doi: 10.1002/mus.21485

PubMed Abstract | CrossRef Full Text | Google Scholar

Aregueta-Robles, U. A., Woolley, A. J., Poole-Warren, L. A., Lovell, N. H., and Green, R. A. (2014). Organic electrode coatings for next-generation neural interfaces. Front. Neuroeng. 7:15. doi: 10.3389/fneng.2014.00015

PubMed Abstract | CrossRef Full Text | Google Scholar

Arumuganathar, S., and Jayasinghe, S. N. (2008). Living scaffolds (specialized and unspecialized) for regenerative and therapeutic medicine. Biomacromolecules 9, 759–766. doi: 10.1021/bm701322k

PubMed Abstract | CrossRef Full Text | Google Scholar

Badia, J., Boretius, T., Pascual-Font, A., Udina, E., Stieglitz, T., and Navarro, X. (2011). Biocompatibility of chronically implanted transverse intrafascicular multichannel electrode (TIME) in the rat sciatic nerve. IEEE Trans. Biomed. Eng. 58, 2324–2332. doi: 10.1109/TBME.2011.2153850

PubMed Abstract | CrossRef Full Text | Google Scholar

Banerjee, A., Arha, M., Choudhary, S., Ashton, R. S., Bhatia, S. R., Schaffer, D. V., et al. (2009). The influence of hydrogel modulus on the proliferation and differentiation of encapsulated neural stem cells. Biomaterials 30, 4695–4699. doi: 10.1016/j.biomaterials.2009.05.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Bataller, R., and Brenner, D. A. (2005). Liver fibrosis. J. Clin. Invest. 115, 209–218. doi: 10.1172/JCI24282

PubMed Abstract | CrossRef Full Text | Google Scholar

Benvenuto, A., Raspopovic, S., Hoffmann, K. P., Carpaneto, J., Cavallo, G., Di Pino, G., et al. (2010). Intrafascicular thin-film multichannel electrodes for sensory feedback: evidences on a human amputee. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2010, 1800–1803. doi: 10.1109/IEMBS.2010.5626401

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolin, M. H., Svennersten, K., Nilsson, D., Sawatdee, A., Jager, E. W., Richter-Dahlfors, A., et al. (2009). Active control of epithelial cell-density gradients grown along the channel of an organic electrochemical transistor. Adv. Mater. Weinheim. 21, 4379–4382. doi: 10.1002/adma.200901191

PubMed Abstract | CrossRef Full Text | Google Scholar

Boretius, T., Badia, J., Pascual-Font, A., Schuettler, M., Navarro, X., Yoshida, K., et al. (2010). A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve. Biosens. Bioelectron. 26, 62–69. doi: 10.1016/j.bios.2010.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Bottini, M., Bruckner, S., Nika, K., Bottini, N., Bellucci, S., Magrini, A., et al. (2006). Multi-walled carbon nanotubes induce T lymphocyte apoptosis. Toxicol. Lett. 160, 121–126. doi: 10.1016/j.toxlet.2005.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Branner, A., Stein, R. B., Fernandez, E., Aoyagi, Y., and Normann, R. A. (2004). Long-term stimulation and recording with a penetrating microelectrode array in cat sciatic nerve. IEEE Trans. Biomed. Eng. 51, 146–157. doi: 10.1109/TBME.2003.820321

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, W. J., Babb, T. L., Soper, H. V., Lieb, J. P., Ottino, C. A., and Crandall, P. H. (1977). Tissue reactions to long-term electrical stimulation of the cerebellum in monkeys. J. Neurosurg. 47, 366–379. doi: 10.3171/jns.1977.47.3.0366

PubMed Abstract | CrossRef Full Text | Google Scholar

Brummer, S. B., Robblee, L. S., and Hambrecht, F. T. (1983). Criteria for selecting electrodes for electrical stimulation: theoretical and practical considerations. Ann. N. Y. Acad. Sci. 405, 159–171. doi: 10.1111/j.1749-6632.1983.tb31628.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Butson, C. R., Maks, C. B., and McIntyre, C. C. (2006). Sources and effects of electrode impedance during deep brain stimulation. Clin. Neurophysiol. 117, 447–454. doi: 10.1016/j.clinph.2005.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, B. P., and Leong, K. W. (2008). Scaffolding in tissue engineering: general approaches and tissue-specific considerations. Eur. Spine J. 17(Suppl. 4), 467–479. doi: 10.1007/s00586-008-0745-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Christo, S. N., Diener, K. R., Bachhuka, A., Vasilev, K., and Hayball, J. D. (2015). Innate immunity and biomaterials at the nexus:friends or foes. Biomed Res. Int. 2015:342304. doi: 10.1155/2015/342304

CrossRef Full Text | Google Scholar

Hsieh, C. Y. C., Hu, F.-W., Chen, W.-S., and Tsai, W. B. (2014). Reducing the foreign ody reaction by surface modification with collagen/hyaluronic acid multilayered films. ISRN Biomater. 2014:718432. doi: 10.1155/2014/718432

CrossRef Full Text | Google Scholar

Couto, D. S., Perez-Breva, L., Saraiva, P., and Cooney, C. L. (2012). Lessons from innovation in drug-device combination products. Adv. Drug Deliv. Rev. 64, 69–77. doi: 10.1016/j.addr.2011.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowper, S. E. (2008). Nephrogenic systemic fibrosis: an overview. J. Am. Coll. Radiol. 5, 23–28. doi: 10.1016/j.jacr.2007.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui, X., Wiler, J., Dzaman, M., Altschuler, R. A., and Martin, D. C. (2003). In vivo studies of polypyrrole/peptide coated neural probes. Biomaterials 24, 777–787. doi: 10.1016/S0142-9612(02)00415-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Cullen, D. K., and Smith, D. H. (2013). Bionic connections. Sci. Am. 308, 52–57. doi: 10.1038/scientificamerican0113-52

PubMed Abstract | CrossRef Full Text | Google Scholar

Cullen, D. K., Wolf, J. A., Smith, D. H., and Pfister, B. J. (2011a). Neural tissue engineering for neuroregeneration and biohybridized interface microsystems in vivo (Part 2). Crit. Rev. Biomed. Eng. 39, 241–259. doi: 10.1615/CritRevBiomedEng.v39.i3.40

PubMed Abstract | CrossRef Full Text | Google Scholar

Cullen, D. K., Wolf, J. A., Vernekar, V. N., Vukasinovic, J., and LaPlaca, M. C. (2011b). Neural tissue engineering and biohybridized microsystems for neurobiological investigation in vitro (Part 1). Crit. Rev. Biomed. Eng. 39, 201–240. doi: 10.1615/CritRevBiomedEng.v39.i3.30

PubMed Abstract | CrossRef Full Text | Google Scholar

Cutrone, A., Del Valle, J., Santos, D., Badia, J., Filippeschi, C., Micera, S., et al. (2015). A three-dimensional self-opening intraneural peripheral interface (SELINE). J. Neural Eng. 12:016016. doi: 10.1088/1741-2560/12/1/016016

PubMed Abstract | CrossRef Full Text | Google Scholar

Daniels, C. E., Wilkes, M. C., Edens, M., Kottom, T. J., Murphy, S. J., Limper, A. H., et al. (2004). Imatinib mesylate inhibits the profibrogenic activity of TGF-beta and prevents bleomycin-mediated lung fibrosis. J. Clin. Invest. 114, 1308–1316. doi: 10.1172/JCI200419603

PubMed Abstract | CrossRef Full Text | Google Scholar

Dauth, G. W., Defendini, R., Gilman, S., Tennyson, V. M., and Kremzner, L. (1977). Long-term surface stimulation of the cerebellum in the monkey. I. Light microscopic, electrophysiologic, and clinical observations. Surg. Neurol. 7, 377–384.

PubMed Abstract | Google Scholar

David-Pur, M., Bareket-Keren, L., Beit-Yaakov, G., Raz-Prag, D., and Hanein, Y. (2014). All-carbon-nanotube flexible multi-electrode array for neuronal recording and stimulation. Biomed. Microdevices 16, 43–53. doi: 10.1007/s10544-013-9804-6

PubMed Abstract | CrossRef Full Text | Google Scholar

de Fougerolles, A. R., and Koteliansky, V. E. (2002). Regulation of monocyte gene expression by the extracellular matrix and its functional implications. Immunol. Rev. 186, 208–220. doi: 10.1034/j.1600-065X.2002.18617.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dees, C., Tomcik, M., Zerr, P., Akhmetshina, A., Horn, A., Palumbo, K., et al. (2011). Notch signalling regulates fibroblast activation and collagen release in systemic sclerosis. Ann. Rheum. Dis. 70, 1304–1310. doi: 10.1136/ard.2010.134742

PubMed Abstract | CrossRef Full Text | Google Scholar

Denton, C. P., Merkel, P. A., Furst, D. E., Khanna, D., Emery, P., Hsu, V. M., et al. (2007). Recombinant human anti-transforming growth factor beta1 antibody therapy in systemic sclerosis: a multicenter, randomized, placebo-controlled phase I/II trial of CAT-192. Arthritis Rheum. 56, 323–333. doi: 10.1002/art.22289

PubMed Abstract | CrossRef Full Text | Google Scholar

Dhillon, G. S., Kruger, T. B., Sandhu, J. S., and Horch, K. W. (2005). Effects of short-term training on sensory and motor function in severed nerves of long-term human amputees. J. Neurophysiol. 93, 2625–2633. doi: 10.1152/jn.00937.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Pino, G., Benvenuto, A., Cavallo, G., Denaro, L., Denaro, V., Ferreri, F., et al. (2012). “In human implant of intraneural multielectrodes for controlling a 5-fingered hand prosthesis and delivering sensorial feedback,” in Grasping the Future: Advances in Powered Upper Limb Prosthetics, eds V. Parenti Castelli and M. Troncossi (Bentham Science Publisher), 28–38.

Google Scholar

Di Pino, G., Denaro, L., Vadala, G., Marinozzi, A., Tombini, M., Ferreri, F., et al. (2013). Invasive neural interfaces: the perspective of the surgeon. J. Surg. Res. 188, 77–87. doi: 10.1016/j.jss.2013.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Pino, G., Guglielmelli, E., and Rossini, P. M. (2009). Neuroplasticity in amputees: main implications on bidirectional interfacing of cybernetic hand prostheses. Prog. Neurobiol. 88, 114–126. doi: 10.1016/j.pneurobio.2009.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Pino, G., Maravita, A., Zollo, L., Guglielmelli, E., and Di Lazzaro, V. (2014). Augmentation-related brain plasticity. Front. Syst. Neurosci. 8:109. doi: 10.3389/fnsys.2014.00109

PubMed Abstract | CrossRef Full Text | Google Scholar

Diegelmann, R. F., and Evans, M. C. (2004). Wound healing: an overview of acute, fibrotic and delayed healing. Front. Biosci. 9, 283–289. doi: 10.2741/1184

PubMed Abstract | CrossRef Full Text | Google Scholar

Distler, J. H., Jungel, A., Huber, L. C., Schulze-Horsel, U., Zwerina, J., Gay, R. E., et al. (2007). Imatinib mesylate reduces production of extracellular matrix and prevents development of experimental dermal fibrosis. Arthritis Rheum. 56, 311–322. doi: 10.1002/art.22314

PubMed Abstract | CrossRef Full Text | Google Scholar

Drury, J. L., and Mooney, D. J. (2003). Hydrogels for tissue engineering: scaffold design variables and applications. Biomaterials 24, 4337–4351. doi: 10.1016/S0142-9612(03)00340-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Eberli, D., and Atala, A. (2006). Tissue engineering using adult stem cells. Methods Enzymol. 420, 287–302. doi: 10.1016/S0076-6879(06)20013-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Evans, A. J., Thompson, B. C., Wallace, G. G., Millard, R., O'Leary, S. J., Clark, G. M., et al. (2009). Promoting neurite outgrowth from spiral ganglion neuron explants using polypyrrole/BDNF-coated electrodes. J. Biomed. Mater. Res. A 91, 241–250. doi: 10.1002/jbm.a.32228

PubMed Abstract | CrossRef Full Text | Google Scholar

Fine, E. G., Decosterd, I., Papaloizos, M., Zurn, A. D., and Aebischer, P. (2002). GDNF and NGF released by synthetic guidance channels support sciatic nerve regeneration across a long gap. Eur. J. Neurosci. 15, 589–601. doi: 10.1046/j.1460-9568.2002.01892.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Frampton, J. P., Hynd, M. R., Shuler, M. L., and Shain, W. (2010). Effects of glial cells on electrode impedance recorded from neuralprosthetic devices in vitro. Ann. Biomed. Eng. 38, 1031–1047. doi: 10.1007/s10439-010-9911-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Fujihara, Y., Takato, T., and Hoshi, K. (2010). Immunological response to tissue-engineered cartilage derived from auricular chondrocytes and a PLLA scaffold in transgenic mice. Biomaterials 31, 1227–1234. doi: 10.1016/j.biomaterials.2009.10.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Geddes, L. A., and Roeder, R. (2003). Criteria for the selection of materials for implanted electrodes. Ann. Biomed. Eng. 31, 879–890. doi: 10.1114/1.1581292

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodman, S. B., Yao, Z., Keeney, M., and Yang, F. (2013). The future of biologic coatings for orthopaedic implants. Biomaterials 34, 3174–3183. doi: 10.1016/j.biomaterials.2013.01.074

PubMed Abstract | CrossRef Full Text | Google Scholar

Grandjean, P. A., and Mortimer, J. T. (1986). Recruitment properties of monopolar and bipolar epimysial electrodes. Ann. Biomed. Eng. 14, 53–66. doi: 10.1007/BF02364648

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, R. A., Lovell, N. H., and Poole-Warren, L. A. (2009). Cell attachment functionality of bioactive conducting polymers for neural interfaces. Biomaterials 30, 3637–3644. doi: 10.1016/j.biomaterials.2009.03.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, R. A., Lovell, N. H., Wallace, G. G., and Poole-Warren, L. A. (2008). Conducting polymers for neural interfaces: challenges in developing an effective long-term implant. Biomaterials 29, 3393–3399. doi: 10.1016/j.biomaterials.2008.04.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, R. A., Matteucci, P. B., Hassarati, R. T., Giraud, B., Dodds, C. W., Chen, S., et al. (2013). Performance of conducting polymer electrodes for stimulating neuroprosthetics. J. Neural Eng. 10:016009. doi: 10.1088/1741-2560/10/1/016009

PubMed Abstract | CrossRef Full Text | Google Scholar

Grill, W. M., and Mortimer, J. T. (1998). Stability of the input-output properties of chronically implanted multiple contact nerve cuff stimulating electrodes. IEEE Trans. Rehabil. Eng. 6, 364–373. doi: 10.1109/86.736150

PubMed Abstract | CrossRef Full Text | Google Scholar

Groothuis, J., Ramsey, N. F., Ramakers, G. M., and van der Plasse, G. (2014). Physiological challenges for intracortical electrodes. Brain Stimul. 7, 1–6. doi: 10.1016/j.brs.2013.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Harnack, D., Winter, C., Meissner, W., Reum, T., Kupsch, A., and Morgenstern, R. (2004). The effects of electrode material, charge density and stimulation duration on the safety of high-frequency stimulation of the subthalamic nucleus in rats. J. Neurosci. Methods 138, 207–216. doi: 10.1016/j.jneumeth.2004.04.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Harreby, K. R., Kundu, A., Yoshida, K., Boretius, T., Stieglitz, T., and Jensen, W. (2015). Subchronic stimulation performance of transverse intrafascicular multichannel electrodes in the median nerve of the Gottingen minipig. Artif. Organs 39, E36–E48. doi: 10.1111/aor.12347

PubMed Abstract | CrossRef Full Text | Google Scholar

He, L., Lin, D., Wang, Y., Xiao, Y., and Che, J. (2011). Electroactive SWNT/PEGDA hybrid hydrogel coating for bio-electrode interface. Colloids Surf. B Biointerfaces 87, 273–279. doi: 10.1016/j.colsurfb.2011.05.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Horch, K., Meek, S., Taylor, T. G., and Hutchinson, D. T. (2011). Object discrimination with an artificial hand using electrical stimulation of peripheral tactile and proprioceptive pathways with intrafascicular electrodes. IEEE Trans. Neural Syst. Rehabil. Eng. 19, 483–489. doi: 10.1109/TNSRE.2011.2162635

PubMed Abstract | CrossRef Full Text | Google Scholar

Horn, A., Kireva, T., Palumbo-Zerr, K., Dees, C., Tomcik, M., Cordazzo, C., et al. (2012). Inhibition of hedgehog signalling prevents experimental fibrosis and induces regression of established fibrosis. Ann. Rheum. Dis. 71, 785–789. doi: 10.1136/annrheumdis-2011-200883

PubMed Abstract | CrossRef Full Text | Google Scholar

Hunter, M. P., Ismail, N., Zhang, X., Aguda, B. D., Lee, E. J., Yu, L., et al. (2008). Detection of microRNA expression in human peripheral blood microvesicles. PLoS ONE 3:e3694. doi: 10.1371/journal.pone.0003694

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishida, W., Mori, Y., Lakos, G., Sun, L., Shan, F., Bowes, S., et al. (2006). Intracellular TGF-beta receptor blockade abrogates Smad-dependent fibroblast activation in vitro and in vivo. J. Invest. Dermatol. 126, 1733–1744. doi: 10.1038/sj.jid.5700303

PubMed Abstract | CrossRef Full Text | Google Scholar

Jester, J. V., Barry-Lane, P. A., Petroll, W. M., Olsen, D. R., and Cavanagh, H. D. (1997). Inhibition of corneal fibrosis by topical application of blocking antibodies to TGF beta in the rabbit. Cornea 16, 177–187. doi: 10.1097/00003226-199703000-00010

PubMed Abstract | CrossRef Full Text | Google Scholar

Jinnin, M., Ihn, H., and Tamaki, K. (2006). Characterization of SIS3, a novel specific inhibitor of Smad3, and its effect on transforming growth factor-beta1-induced extracellular matrix expression. Mol. Pharmacol. 69, 597–607. doi: 10.1124/mol.105.017483

PubMed Abstract | CrossRef Full Text

Kavian, N., Servettaz, A., Mongaret, C., Wang, A., Nicco, C., Chereau, C., et al. (2010). Targeting ADAM-17/notch signaling abrogates the development of systemic sclerosis in a murine model. Arthritis Rheum. 62, 3477–3487. doi: 10.1002/art.27626

PubMed Abstract | CrossRef Full Text | Google Scholar

Keselowsky, B. G., Bridges, A. W., Burns, K. L., Tate, C. C., Babensee, J. E., LaPlaca, M. C., et al. (2007). Role of plasma fibronectin in the foreign body response to biomaterials. Biomaterials 28, 3626–3631. doi: 10.1016/j.biomaterials.2007.04.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, D. H., Abidian, M., and Martin, D. C. (2004). Conducting polymers grown in hydrogel scaffolds coated on neural prosthetic devices. J. Biomed. Mater. Res. A 71, 577–585. doi: 10.1002/jbm.a.30124

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, D. H., and Martin, D. C. (2006). Sustained release of dexamethasone from hydrophilic matrices using PLGA nanoparticles for neural drug delivery. Biomaterials 27, 3031–3037. doi: 10.1016/j.biomaterials.2005.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, D. H., Richardson-Burns, S., Povlich, L., Abidian, M. R., Spanninga, S., Hendricks, J. L., et al. (2008). “Soft, fuzzy, and bioactive conducting polymers for improving the chronic performance of neural prosthetic devices,” in Indwelling Neural Implants: Strategies for Contending with the in Vivo Environment, ed W. M. Reichert (Boca Raton, FL: CRC Press/Taylor & Francis).

Google Scholar

Kim, M. S., Ahn, H. H., Shin, Y. N., Cho, M. H., Khang, G., and Lee, H. B. (2007). An in vivo study of the host tissue response to subcutaneous implantation of PLGA- and/or porcine small intestinal submucosa-based scaffolds. Biomaterials 28, 5137–5143. doi: 10.1016/j.biomaterials.2007.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Korecka, J. A., Verhaagen, J., and Hol, E. M. (2007). Cell-replacement and gene-therapy strategies for Parkinson's and Alzheimer's disease. Regen. Med. 2, 425–446. doi: 10.2217/17460751.2.4.425

PubMed Abstract | CrossRef Full Text | Google Scholar

Krieg, T., Abraham, D., and Lafyatis, R. (2007). Fibrosis in connective tissue disease: the role of the myofibroblast and fibroblast-epithelial cell interactions. Arthritis Res. Ther. 9(Suppl. 2), S4. doi: 10.1186/ar2188

PubMed Abstract | CrossRef Full Text | Google Scholar

Kundu, A., Harreby, K. R., Yoshida, K., Boretius, T., Stieglitz, T., and Jensen, W. (2014). Stimulation selectivity of the thin-film longitudinal intrafascicular electrode (tfLIFE) and the transverse intrafascicular multi-channel electrode (TIME) in the large nerve animal model. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 400–410. doi: 10.1109/TNSRE.2013.2267936

PubMed Abstract | CrossRef Full Text | Google Scholar

Lacour, S. P., Benmerah, S., Tarte, E., Fitzgerald, J., Serra, J., McMahon, S., et al. (2010). Flexible and stretchable micro-electrodes for in vitro and in vivo neural interfaces. Med. Biol. Eng. Comput. 48, 945–954. doi: 10.1007/s11517-010-0644-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lago, N., Ceballos, D., Rodriguez, F. J., Stieglitz, T., and Navarro, X. (2005). Long term assessment of axonal regeneration through polyimide regenerative electrodes to interface the peripheral nerve. Biomaterials 26, 2021–2031. doi: 10.1016/j.biomaterials.2004.06.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Lago, N., Udina, E., Ramachandran, A., and Navarro, X. (2007a). Neurobiological assessment of regenerative electrodes for bidirectional interfacing injured peripheral nerves. IEEE Trans. Biomed. Eng. 54(6 Pt. 1), 1129–1137. doi: 10.1109/TBME.2007.891168

PubMed Abstract | CrossRef Full Text | Google Scholar

Lago, N., Yoshida, K., Koch, K. P., and Navarro, X. (2007b). Assessment of biocompatibility of chronically implanted polyimide and platinum intrafascicular electrodes. IEEE Trans. Biomed. Eng. 54, 281–290. doi: 10.1109/TBME.2006.886617

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawrence, S. M., Dhillon, G. S., Jensen, W., Yoshida, K., and Horch, K. W. (2004). Acute peripheral nerve recording characteristics of polymer-based longitudinal intrafascicular electrodes. IEEE Trans. Neural Syst. Rehabil. Eng. 12, 345–348. doi: 10.1109/TNSRE.2004.831491

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J. S., Hong, J. M., Jung, J. W., Shim, J. H., Oh, J. H., and Cho, D. W. (2014). 3D printing of composite tissue with complex shape applied to ear regeneration. Biofabrication 6:024103. doi: 10.1088/1758-5082/6/2/024103

PubMed Abstract | CrossRef Full Text | Google Scholar

Lempka, S. F., Miocinovic, S., Johnson, M. D., Vitek, J. L., and McIntyre, C. C. (2009). In vivo impedance spectroscopy of deep brain stimulation electrodes. J. Neural Eng. 6:046001. doi: 10.1088/1741-2560/6/4/046001

PubMed Abstract | CrossRef Full Text | Google Scholar

Lerner, D. P., and Dombrowski, K. (2015). Focal neuronal dysfunction resulting in subclinical status epilepticus in von Gierke's disease. Int. J. Neurosci. 125, 228–231. doi: 10.3109/00207454.2014.923420

PubMed Abstract | CrossRef Full Text | Google Scholar

Leung, B. K., Biran, R., Underwood, C. J., and Tresco, P. A. (2008). Characterization of microglial attachment and cytokine release on biomaterials of differing surface chemistry. Biomaterials 29, 3289–3297. doi: 10.1016/j.biomaterials.2008.03.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., et al. (2005). Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433, 769–773. doi: 10.1038/nature03315

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, X., McCreery, D. B., Carter, R. R., Bullara, L. A., Yuen, T. G., and Agnew, W. F. (1999). Stability of the interface between neural tissue and chronically implanted intracortical microelectrodes. IEEE Trans. Rehabil. Eng. 7, 315–326. doi: 10.1109/86.788468

PubMed Abstract | CrossRef Full Text | Google Scholar

Madduri, S., di Summa, P., Papaloizos, M., Kalbermatten, D., and Gander, B. (2010). Effect of controlled co-delivery of synergistic neurotrophic factors on early nerve regeneration in rats. Biomaterials 31, 8402–8409. doi: 10.1016/j.biomaterials.2010.07.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Mario Cheong, G. L., Lim, K. S., Jakubowicz, A., Martens, P. J., Poole-Warren, L. A., and Green, R. A. (2014). Conductive hydrogels with tailored bioactivity for implantable electrode coatings. Acta Biomater. 10, 1216–1226. doi: 10.1016/j.actbio.2013.12.032

PubMed Abstract | CrossRef Full Text | Google Scholar

McConnell, G. C., Butera, R. J., and Bellamkonda, R. V. (2009). Bioimpedance modeling to monitor astrocytic response to chronically implanted electrodes. J. Neural Eng. 6:055005. doi: 10.1088/1741-2560/6/5/055005

PubMed Abstract | CrossRef Full Text | Google Scholar

Mercanzini, A., Reddy, S. T., Velluto, D., Colin, P., Maillard, A., Bensadoun, J. C., et al. (2010). Controlled release nanoparticle-embedded coatings reduce the tissue reaction to neuroprostheses. J. Control. Release 145, 196–202. doi: 10.1016/j.jconrel.2010.04.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Merrill, D. R., Bikson, M., and Jefferys, J. G. (2005). Electrical stimulation of excitable tissue: design of efficacious and safe protocols. J. Neurosci. Methods 141, 171–198. doi: 10.1016/j.jneumeth.2004.10.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., et al. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proc. Natl. Acad. Sci. U.S.A. 105, 10513–10518. doi: 10.1073/pnas.0804549105

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohri, M., Shimokawa, H., Hirakawa, Y., Masumoto, A., and Takeshita, A. (2003). Rho-kinase inhibition with intracoronary fasudil prevents myocardial ischemia in patients with coronary microvascular spasm. J. Am. Coll. Cardiol. 41, 15–19. doi: 10.1016/S0735-1097(02)02632-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Mordasky Markell, L., Perez-Lorenzo, R., Masiuk, K. E., Kennett, M. J., and Glick, A. B. (2010). Use of a TGFβ type I receptor inhibitor in mouse skin carcinogenesis reveals a dual role for TGFβ signaling in tumor promotion and progression. Carcinogenesis 31, 2127–2135. doi: 10.1093/carcin/bgq191

PubMed Abstract | CrossRef Full Text | Google Scholar

Moshayedi, P., Gilbert, N., Kwok, J. C. F., Yeo, G. S. H., Bryant, C. E., Fawcett, J. W., et al. (2014). The relationship between glial cell mechanosensitivity and foreign body reactions in the central nervous system. Biomaterials 35, 3919–3925 doi: 10.1016/j.biomaterials.2014.01.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Murphy, B., Krieger, C., and Hoffer, J. A. (2004). Chronically implanted epineural electrodes for repeated assessment of nerve conduction velocity and compound action potential amplitude in rodents. J. Neurosci. Methods 132, 25–33. doi: 10.1016/j.jneumeth.2003.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., and Dario, P. (2005). A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems. J. Peripher. Nerv. Syst. 10, 229–258. doi: 10.1111/j.1085-9489.2005.10303.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Nordhausen, C., Maynard, E. M., and Normann, R. A. (1996). Single unit recording capabilities of a 100 microelectrode array. Brain Res. 726, 129–140 doi: 10.1016/0006-8993(96)00321-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Ong, S. M., Biswas, S. K., and Wong, S. C. (2015). MicroRNA-mediated immune modulation as a therapeutic strategy in host-implant integration. Adv. Drug Deliv. Rev. 88, 92–107. doi: 10.1016/j.addr.2015.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozcan, G., Ozpolat, B., Coleman, R. L., Sood, A. K., and Lopez-Berestein, G. (2015). Preclinical and clinical development of siRNA-based therapeutics. Adv. Drug Deliv. Rev. 87, 108–119. doi: 10.1016/j.addr.2015.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Parks, A. C., Sung, K., and Wu, B. M. (2014). A three-dimensional in vitro model to quantify inflammatory response to biomaterials. Acta Biomater. 10, 4742–4749. doi: 10.1016/j.actbio.2014.07.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Pasquina, P. F., Bryant, P. R., Huang, M. E., Roberts, T. L., Nelson, V. S., and Flood, K. M. (2006). Advances in amputee care. Arch. Phys. Med. Rehabil. 87(3 Suppl. 1), S34–S43; quiz S44–S35. doi: 10.1016/j.apmr.2005.11.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Piret, G., Hebert, C., Mazellier, J. P., Rousseau, L., Scorsone, E., Cottance, M., et al. (2015). 3D-nanostructured boron-doped diamond for microelectrode array neural interfacing. Biomaterials 53, 173–183. doi: 10.1016/j.biomaterials.2015.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Polikov, V. S., Tresco, P. A., and Reichert, W. M. (2005). Response of brain tissue to chronically implanted neural electrodes. J. Neurosci. Methods 148, 1–18. doi: 10.1016/j.jneumeth.2005.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., et al. (2014). Restoring natural sensory feedback in real-time bidirectional hand prostheses. Sci. Transl. Med. 6, 222ra219. doi: 10.1126/scitranslmed.3006820

PubMed Abstract | CrossRef Full Text

Ratner, B. D., and Bryant, S. J. (2004). Biomaterials: where we have been and where we are going. Annu. Rev. Biomed. Eng. 6, 41–75. doi: 10.1146/annurev.bioeng.6.040803.140027

PubMed Abstract | CrossRef Full Text | Google Scholar

Ravichandran, R., Sundarrajan, S., Venugopal, J. R., Mukherjee, S., and Ramakrishna, S. (2010). Applications of conducting polymers and their issues in biomedical engineering. J. R. Soc. Interface 7(Suppl. 5), S559–S579. doi: 10.1098/rsif.2010.0120.focus

PubMed Abstract | CrossRef Full Text | Google Scholar

Rennaker, R. L., Miller, J., Tang, H., and Wilson, D. A. (2007). Minocycline increases quality and longevity of chronic neural recordings. J. Neural Eng. 4, L1–L5. doi: 10.1088/1741-2560/4/2/L01

PubMed Abstract | CrossRef Full Text | Google Scholar

Riento, K., and Ridley, A. J. (2003). Rocks: multifunctional kinases in cell behaviour. Nat. Rev. Mol. Cell Biol. 4, 446–456. doi: 10.1038/nrm1128

PubMed Abstract | CrossRef Full Text | Google Scholar

Roitbak, T., and Sykova, E. (1999). Diffusion barriers evoked in the rat cortex by reactive astrogliosis. Glia 28, 40–48.

PubMed Abstract | Google Scholar

Rosenbloom, J., Mendoza, F. A., and Jimenez, S. A. (2013). Strategies for anti-fibrotic therapies. Biochim. Biophys. Acta 1832, 1088–1103. doi: 10.1016/j.bbadis.2012.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenstein, J. M., Krum, J. M., and Ruhrberg, C. (2010). VEGF in the nervous system. Organogenesis 6, 107–114. doi: 10.4161/org.6.2.11687

PubMed Abstract | CrossRef Full Text | Google Scholar

Rossini, P. M., Micera, S., Benvenuto, A., Carpaneto, J., Cavallo, G., Citi, L., et al. (2010). Double nerve intraneural interface implant on a human amputee for robotic hand control. Clin. Neurophysiol. 121, 777–783. doi: 10.1016/j.clinph.2010.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Santiago, B., Gutierrez-Canas, I., Dotor, J., Palao, G., Lasarte, J. J., Ruiz, J., et al. (2005). Topical application of a peptide inhibitor of transforming growth factor-beta1 ameliorates bleomycin-induced skin fibrosis. J. Invest. Dermatol. 125, 450–455. doi: 10.1111/j.0022-202X.2005.23859.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schnaper, H. W., and Kopp, J. B. (2003). Renal fibrosis. Front. Biosci. 8, e68–e86. doi: 10.2741/925

PubMed Abstract | CrossRef Full Text | Google Scholar

Schoen, F.J., and Anderson, M. J. (2004). “Host response to biomaterials and their evaluation,” in Biomaterials Science: An Introduction To Material, medicine, 2nd Edn, eds B. D. Ratner, F. J. Schoen, and J. E. Lemons (San Diego, CA: Elsevier), 293–296.

Schultz, R. L., and Willey, T. J. (1976). The ultrastructure of the sheath around chronically implanted electrodes in brain. J. Neurocytol. 5, 621–642. doi: 10.1007/BF01181577

PubMed Abstract | CrossRef Full Text | Google Scholar

Seidlits, S. K., Lee, J. Y., and Schmidt, C. E. (2008). Nanostructured scaffolds for neural applications. Nanomedicine 3, 183–199. doi: 10.2217/17435889.3.2.183

PubMed Abstract | CrossRef Full Text | Google Scholar

Selbach, M., Schwanhausser, B., Thierfelder, N., Fang, Z., Khanin, R., and Rajewsky, N. (2008). Widespread changes in protein synthesis induced by microRNAs. Nature 455, 58–63. doi: 10.1038/nature07228

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, M., Garcia, I., Maier, R. V., and Horbett, T. A. (2004). Effects of adsorbed proteins and surface chemistry on foreign body giant cell formation, tumor necrosis factor alpha release and procoagulant activity of monocytes. J. Biomed. Mater. Res. A 70, 533–541. doi: 10.1002/jbm.a.30069

PubMed Abstract | CrossRef Full Text | Google Scholar

Shimizu, Y., Thumkeo, D., Keel, J., Ishizaki, T., Oshima, H., Oshima, M., et al. (2005). ROCK-I regulates closure of the eyelids and ventral body wall by inducing assembly of actomyosin bundles. J. Cell Biol. 168, 941–953. doi: 10.1083/jcb.200411179

PubMed Abstract | CrossRef Full Text | Google Scholar

Sica, A., and Mantovani, A. (2012). Macrophage plasticity and polarization: in vivo veritas. J. Clin. Invest. 122, 787–795. doi: 10.1172/JCI59643

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, S., Narang, A. S., and Mahato, R. I. (2011). Subcellular fate and off-target effects of siRNA, shRNA, and miRNA. Pharm. Res. 28, 2996–3015. doi: 10.1007/s11095-011-0608-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Spataro, L., Dilgen, J., Retterer, S., Spence, A. J., Isaacson, M., Turner, J. N., et al. (2005). Dexamethasone treatment reduces astroglia responses to inserted neuroprosthetic devices in rat neocortex. Exp. Neurol. 194, 289–300. doi: 10.1016/j.expneurol.2004.08.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Struzyna, L. A., Harris, J. P., Katiyar, K. S., Chen, H. I., and Cullen, D. K. (2015). Restoring nervous system structure and function using tissue engineered living scaffolds. Neural Regen. Res. 10, 679–685. doi: 10.4103/1673-5374.156943

PubMed Abstract | CrossRef Full Text | Google Scholar

Suri, S., and Schmidt, C. E. (2010). Cell-laden hydrogel constructs of hyaluronic acid, collagen, and laminin for neural tissue engineering. Tissue Eng. A 16, 1703–1716. doi: 10.1089/ten.tea.2009.0381

PubMed Abstract | CrossRef Full Text | Google Scholar

Szaba, F. M., and Smiley, S. T. (2002). Roles for thrombin and fibrin(ogen) in cytokine/chemokine production and macrophage adhesion in vivo. Blood 99, 1053–1059. doi: 10.1182/blood.V99.3.1053

PubMed Abstract | CrossRef Full Text | Google Scholar

Szarowski, D. H., Andersen, M. D., Retterer, S., Spence, A. J., Isaacson, M., Graighead, H. G., et al. (2003). Brain responses to micro-machined silicon devices. Brain Res. 983, 23–35. doi: 10.1016/S0006-8993(03)03023-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Takahashi, H., Wang, Y., and Grainger, D. W. (2010). Device-based local delivery of siRNA against mammalian target of rapamycin (mTOR) in a murine subcutaneous implant model to inhibit fibrous encapsulation. J. Control. Release 147, 400–407. doi: 10.1016/j.jconrel.2010.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Takehara, H., Nagaoka, A., Noguchi, J., Akagi, T., Kasai, H., and Ichiki, T. (2014). Lab-on-a-brain: implantable micro-optical fluidic devices for neural cell analysis in vivo. Sci. Rep. 4:6721. doi: 10.1038/srep06721

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, L., and Eaton, J. W. (1999). Natural responses to unnatural materials: a molecular mechanism for foreign body reactions. Mol. Med. 5, 351–358.

PubMed Abstract | Google Scholar

Teller, P., and White, T. K. (2009). The physiology of wound healing: injury through maturation. Surg. Clin. North Am. 89, 599–610. doi: 10.1016/j.suc.2009.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Thevenot, P., Hu, W., and Tang, L. (2008). Surface chemistry influences implant biocompatibility. Curr. Top. Med. Chem. 8, 270–280. doi: 10.2174/156802608783790901

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, C. H., Zoratti, M. J., Langhals, N. B., and Purcell, E. K. (2016). Regenerative electrode interfaces for neural prostheses. Tissue Eng. B. Rev. 22, 125–135. doi: 10.1089/ten.teb.2015.0279

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, F., Cui, D., Schwarz, H., Estrada, G. G., and Kobayashi, H. (2006). Cytotoxicity of single-wall carbon nanotubes on human fibroblasts. Toxicol. In Vitro 20, 1202–1212. doi: 10.1016/j.tiv.2006.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

van Kuyck, K., Welkenhuysen, M., Arckens, L., Sciot, R., and Nuttin, B. (2007). Histological alterations induced by electrode implantation and electrical stimulation in the human brain: a review. Neuromodulation 10, 244–261. doi: 10.1111/j.1525-1403.2007.00114.x

PubMed Abstract | CrossRef Full Text | Google Scholar

van Putten, S. M., Wubben, M., Hennink, W. E., van Luyn, M. J., and Harmsen, M. C. (2009). The downmodulation of the foreign body reaction by cytomegalovirus encoded interleukin-10. Biomaterials 30, 730–735. doi: 10.1016/j.biomaterials.2008.10.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Varga, J., and Abraham, D. (2007). Systemic sclerosis: a prototypic multisystem fibrotic disorder. J. Clin. Invest. 117, 557–567. doi: 10.1172/JCI31139

PubMed Abstract | CrossRef Full Text | Google Scholar

Veiseh, O., Doloff, J. C., Ma, M., Vegas, A. J., Tam, H. H., Bader, A. R., et al. (2015). Size- and shape-dependent foreign body immune response to materials implanted in rodents and non-human primates. Nat. Mater. 14, 643–651. doi: 10.1038/nmat4290

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Wilkes, M. C., Leof, E. B., and Hirschberg, R. (2005). Imatinib mesylate blocks a non-Smad TGF-beta pathway and reduces renal fibrogenesis in vivo. FASEB J. 19, 1–11. doi: 10.1096/fj.04-2370com

PubMed Abstract | CrossRef Full Text | Google Scholar

Warwick, K., Gasson, M., Hutt, B., Goddhew, I., Kyberd, P., Andrews, B., et al. (2003). The application of implant technology for cybernetic systems. Arch. Neurol. 60, 1369–1373. doi: 10.1001/archneur.60.10.1369

PubMed Abstract | CrossRef Full Text | Google Scholar

Weber, J. A., Baxter, D. H., Zhang, S., Huang, D. Y., Huang, K. H., Lee, M. J., et al. (2010). The microRNA spectrum in 12 body fluids. Clin. Chem. 56, 1733–1741. doi: 10.1373/clinchem.2010.147405

PubMed Abstract | CrossRef Full Text | Google Scholar

Westra, I. M., Oosterhuis, D., Groothuis, G. M., and Olinga, P. (2014). The effect of antifibrotic drugs in rat precision-cut fibrotic liver slices. PLoS ONE 9:e95462. doi: 10.1371/journal.pone.0095462

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilks, S. J., Woolley, A. J., Ouyang, L., Martin, D. C., and Otto, K. J. (2011). In vivo polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT) in rodent cerebral cortex. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 5412–5415. doi: 10.1109/IEMBS.2011.6091338

PubMed Abstract | CrossRef Full Text | Google Scholar

Willerth, S. M., and Sakiyama-Elbert, S. E. (2007). Approaches to neural tissue engineering using scaffolds for drug delivery. Adv. Drug Deliv. Rev. 59, 325–338. doi: 10.1016/j.addr.2007.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, J. C., Hippensteel, J. A., Dilgen, J., Shain, W., and Kipke, D. R. (2007). Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants. J. Neural Eng. 4, 410–423. doi: 10.1088/1741-2560/4/4/007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wurth, S., Capogrosso, M., Raspopovic, S., Gandar, J., Federici, G., Kinany, N., et al. (2017). Long-term usability and bio-integration of polyimide-based intra-neural stimulating electrodes. Biomaterials 122, 114–129. doi: 10.1016/j.biomaterials.2017.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, Q., Yin, Y., and Li, B. (2012). Use new PLGL-RGD-NGF nerve conduits for promoting peripheral nerve regeneration. Biomed. Eng. Online 11:36. doi: 10.1186/1475-925X-11-36

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshida, K., and Horch, K. (1993). Selective stimulation of peripheral nerve fibers using dual intrafascicular electrodes. IEEE Trans. Biomed. Eng. 40, 492–494. doi: 10.1109/10.243412

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshiji, H., Noguchi, R., Kuriyama, S., Ikenaka, Y., Yoshii, J., Yanase, K., et al. (2005). Imatinib mesylate (STI-571) attenuates liver fibrosis development in rats. Am. J. Physiol. Gastrointest. Liver Physiol. 288, G907–G913. doi: 10.1152/ajpgi.00420.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Cao, Z., Bai, T., Carr, L., Ella-Menye, J. R., Irvin, C., et al. (2013). Zwitterionic hydrogels implanted in mice resist the foreign-body reaction. Nat. Biotechnol. 31, 553–556. doi: 10.1038/nbt.2580

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, Y., and Bellamkonda, R. V. (2007). Dexamethasone-coated neural probes elicit attenuated inflammatory response and neuronal loss compared to uncoated neural probes. Brain Res. 1148, 15–27. doi: 10.1016/j.brainres.2007.02.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: foreign body reaction, invasive neural interface, peripheral nerve stimulation, intraneural electrodes, neural interfaced prostheses

Citation: Lotti F, Ranieri F, Vadalà G, Zollo L and Di Pino G (2017) Invasive Intraneural Interfaces: Foreign Body Reaction Issues. Front. Neurosci. 11:497. doi: 10.3389/fnins.2017.00497

Received: 05 June 2017; Accepted: 23 August 2017;
Published: 06 September 2017.

Edited by:

Mikhail Lebedev, Duke University, United States

Reviewed by:

Eduardo Fernandez, Universidad Miguel Hernández de Elche, Spain
Enrique Soto, Universidad Autónoma de Puebla, Mexico
Cristian Pablo Pennisi, Aalborg University, Denmark

Copyright © 2017 Lotti, Ranieri, Vadalà, Zollo and Di Pino. 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) or licensor 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: Fiorenza Lotti, f.lotti@unicampus.it

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.