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1.
Root System Markup Language: Toward a Unified Root Architecture Description Language 总被引:1,自引:0,他引:1
Guillaume Lobet Michael P. Pound Julien Diener Christophe Pradal Xavier Draye Christophe Godin Mathieu Javaux Daniel Leitner Félicien Meunier Philippe Nacry Tony P. Pridmore Andrea Schnepf 《Plant physiology》2015,167(3):617-627
2.
Mesenchymal stem cells (MSC) are adult-derived multipotent stem cells that have been derived from almost every tissue. They are classically defined as spindle-shaped, plastic-adherent cells capable of adipogenic, chondrogenic, and osteogenic differentiation. This capacity for trilineage differentiation has been the foundation for research into the use of MSC to regenerate damaged tissues. Recent studies have shown that MSC interact with cells of the immune system and modulate their function. Although many of the details underlying the mechanisms by which MSC modulate the immune system have been defined for human and rodent (mouse and rat) MSC, much less is known about MSC from other veterinary species. This knowledge gap is particularly important because the clinical use of MSC in veterinary medicine is increasing and far exceeds the use of MSC in human medicine. It is crucial to determine how MSC modulate the immune system for each animal species as well as for MSC derived from any given tissue source. A comparative approach provides a unique translational opportunity to bring novel cell-based therapies to the veterinary market as well as enhance the utility of animal models for human disorders. The current review covers what is currently known about MSC and their immunomodulatory functions in veterinary species, excluding laboratory rodents.Abbreviations: AT, adipose tissue; BM, Bone marrow; CB, umbilical cord blood; CT, umbilical cord tissue; DC, dendritic cell; IDO, indoleamine 2;3-dioxygenase; MSC, mesenchymal stem cells; PGE2, prostaglandin E2; VEGF, vascular endothelial growth factorMesenchymal stem cells (MSC, alternatively known as mesenchymal stromal cells) were first reported in the literature in 1968.39 MSC are thought to be of pericyte origin (cells that line the vasculature)21,22 and typically are isolated from highly vascular tissues. In humans and mice, MSC have been isolated from fat, placental tissues (placenta, Wharton jelly, umbilical cord, umbilical cord blood), hair follicles, tendon, synovial membrane, periodontal ligament, and every major organ (brain, spleen, liver, kidney, lung, bone marrow, muscle, thymus, pancreas, skin).23,121 For most current clinical applications, MSC are isolated from adipose tissue (AT), bone marrow (BM), umbilical cord blood (CB), and umbilical cord tissue (CT; 11,87,99 Clinical trials in human medicine focus on the use of MSC both for their antiinflammatory properties (graft-versus-host disease, irritable bowel syndrome) and their ability to aid in tissue and bone regeneration in combination with growth factors and bone scaffolds (clinicaltrials.gov).131 For tissue regeneration, the abilities of MSC to differentiate and to secrete mediators and interact with cells of the immune system likely contribute to tissue healing (Figure 1). The current review will not address the specific use of MSC for orthopedic applications and tissue regeneration, although the topic is covered widely in current literature for both human and veterinary medicine.57,62,90
Open in a separate windowOpen in a separate windowFigure 1.The dual roles of MSC: differentiation and modulation of inflammation.Long-term studies in veterinary species have shown no adverse effects with the administration of MSC in a large number of animals.9,10,53 Smaller, controlled studies on veterinary species have shown few adverse effects, such as minor localized inflammation after MSC administration in vivo.7,15,17,45,86,92,98 Private companies, educational institutions, and private veterinary clinics (including Tufts University, Cummins School of Veterinary Medicine, University of California Davis School of Veterinary Medicine, VetStem, Celavet, Alamo Pintado Equine Medical Center, and Rood and Riddle Equine Hospital) offer MSC as a clinical treatment for veterinary species. Clinical uses include tendon and cartilage injuries, tendonitis, and osteoarthritis and, to a lesser extent, bone regeneration, spinal cord injuries, and liver disease in both large and small animals.38,41,113 Even with this broad clinical use, there have been no reports of severe adverse effects secondary to MSC administration in veterinary patients. 相似文献
Table 1.
Tissues from which MSC have been isolatedTissue source (reference no.) | |||||
Species | Fat | Bone marrow | Cord blood | Cord tissue | Other |
Cat | 134 | 83 | 56 | ||
Chicken | 63 | ||||
Cow | 138 | 12 | 108 | ||
Dog | 97 | 3, 59 | 78, 119 | 139 | Periodontal ligament65 |
Goat | 66 | 96 | 4 | ||
Horse | 26, 130 | 37, 40, 123 | 67 | 130 | Periodontal ligament and gingiva88 |
Nonhuman primate | 28, 54 | 5 | |||
Pig | 135 | 114 | 70 | 14, 20, 91 | |
Rabbit | 128 | 80 | 32 | Fetal liver93 | |
Sheep | 84 | 95 | 42, 55 |
3.
Rita Giuliani Nuria Koteyeva Elena Voznesenskaya Marc A. Evans Asaph B. Cousins Gerald E. Edwards 《Plant physiology》2013,162(3):1632-1651
The genus Oryza, which includes rice (Oryza sativa and Oryza glaberrima) and wild relatives, is a useful genus to study leaf properties in order to identify structural features that control CO2 access to chloroplasts, photosynthesis, water use efficiency, and drought tolerance. Traits, 26 structural and 17 functional, associated with photosynthesis and transpiration were quantified on 24 accessions (representatives of 17 species and eight genomes). Hypotheses of associations within, and between, structure, photosynthesis, and transpiration were tested. Two main clusters of positively interrelated leaf traits were identified: in the first cluster were structural features, leaf thickness (Thickleaf), mesophyll (M) cell surface area exposed to intercellular air space per unit of leaf surface area (Smes), and M cell size; a second group included functional traits, net photosynthetic rate, transpiration rate, M conductance to CO2 diffusion (gm), stomatal conductance to gas diffusion (gs), and the gm/gs ratio. While net photosynthetic rate was positively correlated with gm, neither was significantly linked with any individual structural traits. The results suggest that changes in gm depend on covariations of multiple leaf (Smes) and M cell (including cell wall thickness) structural traits. There was an inverse relationship between Thickleaf and transpiration rate and a significant positive association between Thickleaf and leaf transpiration efficiency. Interestingly, high gm together with high gm/gs and a low Smes/gm ratio (M resistance to CO2 diffusion per unit of cell surface area exposed to intercellular air space) appear to be ideal for supporting leaf photosynthesis while preserving water; in addition, thick M cell walls may be beneficial for plant drought tolerance.Leaves have evolved in different environments into a multitude of sizes and shapes, showing great variation in morphology and anatomy (Evans et al., 2004). However, all leaf typologies share common functions associated with chloroplasts, namely to intercept sunlight, take up CO2 and inorganic nitrogen, and perform photosynthesis as a primary process for growth and reproduction.Investigating relationships between leaf anatomy and photosynthetic features (CO2 fixation, which involves physical and biochemical processes and loss of water by transpiration) could lead to the identification of structural features for enhancing crop productivity and improve our understanding of plant evolution and adaptation (Evans et al., 2004).Stomata, through which CO2 and water vapor diffuse into and out of the leaf, are involved in the regulation and control of photosynthetic and transpiration responses (Jarvis and Morison, 1981; Farquhar and Sharkey, 1982). Besides stomata distribution patterns between the abaxial and adaxial lamina surfaces (Foster and Smith, 1986), stomatal density and size are leaf anatomical traits contributing to build the leaf stomatal conductance to gas diffusion (gs). This is calculated as the reciprocal of the stomatal resistances to gas diffusion; stomatal control results in a lower concentration of CO2 in the leaf mesophyll (M) intercellular air space (Ci) than in the atmosphere (Ca; Nobel, 2009).Leaf M architecture greatly contributes to the pattern of light attenuation profiles within the lamina (Terashima and Saeki, 1983; Woolley, 1983; Vogelmann et al., 1989; Evans, 1999; Terashima et al., 2011) and affects CO2 diffusion from the intercellular air space (IAS) to the chloroplast stroma. Therefore, it influences photosynthetic activity (Flexas et al., 2007, 2008) and can have effects on leaf hydrology and transpiration (Sack et al., 2003; Brodribb et al., 2010; Ocheltree et al., 2012). In addition, M architecture sets boundaries for leaf photosynthetic responses to changing environmental conditions (Nobel et al., 1975).Fortunately, several methodologies are currently available (Flexas et al., 2008; Pons et al., 2009) to determine M conductance to CO2 diffusion (gm), expressed per unit of leaf surface area. It is calculated as the reciprocal of the cumulated partial resistances exerted by leaf structural traits and biochemical processes from the substomatal cavities to photosynthetic sites (Evans et al., 2009; Nobel, 2009). The resistance to CO2 diffusion in the liquid phase is 4 orders of magnitude higher than in the gaseous phase (Nobel, 2009); therefore, the changes in CO2 concentration in the leaf gas phase are small in comparison with the changes in the liquid phase (Niinemets, 1999; Aalto and Juurola, 2002; Nobel, 2009). In the liquid phase, the resistance to CO2 transfer is built from contributions by the cell walls, the plasmalemma, cytoplasm, chloroplast membranes, and stroma (Tholen and Zhu, 2011; Tholen et al., 2012); in addition, it involves factors associated with the carboxylation reaction (Kiirats et al., 2002; Evans et al., 2009). Thus, the concentration of CO2 in the chloroplasts (Cc) is lower than Ci and can limit photosynthesis.At steady state, the relationships between the leaf net photosynthetic rate (A), the concentrations of CO2, and the stomatal conductance to CO2 diffusion (gs_CO2) and gm are modeled based on Fick’s first law of diffusion (Nobel, 2009) as:(1)where Ca, Ci, and Cc are as defined above (Flexas et al., 2008).The magnitude of gm has been found to correlate with certain leaf structural traits in some species, in particular with the M cell surface area exposed to IAS per (one side) unit of leaf surface area (Smes) and its extent covered by chloroplasts (Schl; Evans and Loreto, 2000; Slaton and Smith, 2002; Tholen et al., 2012). From a physical modeling perspective, increasing Smes provides more pathways acting in parallel for CO2 diffusion (to and from the chloroplasts) per unit of leaf surface area; thus, it tends to reduce the resistance to CO2 movement into the M cells and to increase gm (Evans et al., 2009; Nobel, 2009). A number of leaf structural traits affect Smes, including leaf thickness, cell density, cell volume and shape, and the fraction of the M cell walls in contact with the IAS (Terashima et al., 2001, 2011), and the degree they are linked to Smes can vary between species (Slaton and Smith, 2002; Terashima et al., 2006). In particular, the presence of lobes on M cells, which are prominent in some Oryza species, may contribute to gm through increasing Smes (Sage and Sage, 2009; Terashima et al., 2011; Tosens et al., 2012). The M cell wall can provide resistance in series for M CO2 diffusion (Nobel, 2009); thicker cell walls may increase resistance to CO2 movement into the M cells and decrease gm (Terashima et al., 2006, 2011; Evans et al., 2009).Other leaf traits, such as M porosity (the fraction of M volume occupied by air spaces [VolIAS]), has been shown to have a positive correlation with gm in some species (Peña-Rojas et al., 2005), but the association may be mediated by light availability (Slaton and Smith, 2002). Leaf thickness (Thickleaf) tends to be negatively linked to gm, and it may set an upper limit for the maximum gm, according to Terashima et al. (2006), Flexas et al. (2008), and Niinemets et al. (2009).With respect to leaf structural traits and water relations, Thickleaf may increase the apoplast path length (resistances in series; Nobel, 2009) in the extra-xylem M (Sack and Holbrook, 2006; Brodribb et al., 2007) for water to reach the evaporation sites, which could decrease the conductance of water through the M and lower the transpiration rate. Interestingly, while thicker M cell walls may reduce gm, they can enable the development of higher water potential gradients between the soil and leaves, which can be decisive for plant survival and longevity under drought conditions (Steppe et al., 2011).The purpose of this study was to provide insight into how the diversity of leaf structure relates to photosynthesis and transpiration among representative cultivated species and wild relatives in the genus Oryza. This includes, in particular, identifying leaf structural features associated with the diffusion of CO2 from the atmosphere to the chloroplasts, photosynthesis, transpiration efficiency (A/E), and drought tolerance. The genus consists of 10 genomic groups and is composed of approximately 24 species (the number depending on taxonomic preferences; Kellogg, 2009; Brar and Singh, 2011), including the cultivated species Oryza sativa and Oryza glaberrima. Oryza species are distributed around the world, and they exhibit a wide range of phenotypes, with annual versus perennial life cycles and sun- versus shade-adapted species (Vaughan, 1994; Vaughan et al., 2008; Brar and Singh, 2011; Jagadish et al., 2011). This diversity in the genus is an important resource, which is being studied to improve rice yield, especially under unfavorable environmental conditions. In particular, O. glaberrima, Oryza australiensis, and Oryza meridionalis are of interest as drought-tolerant species (Henry et al., 2010; Ndjiondjop et al., 2010; Scafaro et al., 2011, 2012), while Oryza coarctata is salt tolerant (Sengupta and Majumder, 2010). In this study, a total of 43 leaf functional and structural parameters were collected on 24 accessions corresponding to 17 species within eight genomes (Brar and Singh (2011). Life cycle is as follows: A = annual; B = biennial; P = poliennial. Habitat is as follows: S = shade; S-Sh = sun-shade.
Open in a separate windowFor evaluating aspects of photosynthesis, the model in Equation 1 was considered, and all the listed functional variables, A, gs_CO2, (Ca − Ci), gm, and (Ci − Cc), were determined. In addition, among the leaf functional traits, the M resistance to CO2 diffusion per unit of cell surface area exposed to IAS (reciprocal of gm/Smes) was calculated as described by Evans et al. (2009): it represents the resistance to CO2 diffusion from IAS to chloroplasts in a liquid solution through cell wall and membranes (Nobel, 2009). Leaf transpiration rate (E), A/E, the intrinsic A/E (ratio between A and stomatal conductance to water vapor diffusion [gs_H2O]), gm/gs_CO2 (representing the coordination between gm and gs), and the carbon isotope composition of leaf biomass (δ13C; calculated as 13C/12C) were determined. The value of δ13C has been recognized as a potential indicator of leaf A/E: increased limitations on photosynthesis by decreased gs can lead to higher A/gs_H2O ratios and less discrimination against assimilation of 13CO2 (for review, see Farquhar et al., 1989); the leaf A/E may also be positively linked to the gm/gs ratio (Flexas et al., 2008, 2013; Barbour et al., 2010). With respect to leaf structure, the stomatal density, stomatal pore length, and indices of stomatal pore area on both lamina sides (according to Sack et al., 2003), the Thickleaf, VolIAS, Smes, Schl, area of M cell section (acell) in leaf cross sections, cell wall thickness (Thickcw), and M cell surface lobing (Lobcell) were the principal traits estimated. A statistical multivariate analysis (Child, 2006) was employed to identify clusters of highly interrelated leaf traits; trait-to-trait correlation analysis was carried out to further examine leaf structural, functional, and structural-functional relationships.The following are the main hypotheses examined in this study. (1) Leaf thickness will be associated with certain M structural features. (2) gm will be coordinated with M structural traits. (3) A will be correlated with gs, gm, and E. (4) Leaf structural traits will be involved in the relationship between A and E, which will affect leaf A/E. (5) The gm/gs ratio will be positively correlated with leaf A/E; associations with high Thickcw could have implications for plant drought tolerance. 相似文献
Genome | Species | Life Cycle | Habitat | Accession | No. |
---|---|---|---|---|---|
AA | O. barthii | A | S | PI 590400* | 1 |
AA | O. glaberrima | A | S | PI 450430* | 2 |
AA | O. glumaepatula | P | S | PI 527362* | 3 |
AA | O. longistaminata | P | S | IRGC 101207* | 4 |
AA | O. longistaminata | P | S | IRGC 101754 | 5 |
AA | O. meridionalis | A/P | S | IRGC 93265* | 6 |
AA | O. nivara | A/B | S | PI 590405* | 7 |
AA | O. rufipogon | P | S | PI 104640 | 8 |
AA | O. rufipogon | S | PI 590421* | 9 | |
AA | O. sativa | A | S | IR64* | 10 |
AA | O. sativa | A | S | IR72 | 11 |
BB | O. punctata | A | S-Sh | IRGC 105690* | 12 |
BBCC | O. minuta | P | S-Sh | IRGC 101141* | 13 |
CC | O. officinalis | P | S-Sh | PI 59412* | 14 |
CC | O. rhizomatis | P | S | IRGC 101609 | 15 |
CC | O. rhizomatis | P | S | IRGC 105950* | 16 |
CCDD | O. alta | P | S-Sh | PI 590398* | 17 |
CCDD | O. latifolia | P | S-Sh | IRGC 100959* | 18 |
CCDD | O. latifolia | P | S-Sh | IRGC 105173 | 19 |
EE | O. australiensis | P | S | IRGC 101397* | 20 |
EE | O. australiensis | P | S | IRGC 105277* | 21 |
EE | O. australiensis | P | S | IRGC 86527 | 22 |
FF | O. brachyantha | B | S | IRGC 101232* | 23 |
HHKK | O. coarctata | P | S | IRGC 104502* | 24 |
4.
5.
Sabine Drevet Bertrand Favier Emmanuel Brun Gaëtan Gavazzi Bernard Lardy 《Comparative medicine》2022,72(1):3
Osteoarthritis (OA) is a multidimensional health problem and a common chronic disease. It has a substantial impact on patient quality of life and is a common cause of pain and mobility issues in older adults. The functional limitations, lack of curative treatments, and cost to society all demonstrate the need for translational and clinical research. The use of OA models in mice is important for achieving a better understanding of the disease. Models with clinical relevance are needed to achieve 2 main goals: to assess the impact of the OA disease (pain and function) and to study the efficacy of potential treatments. However, few OA models include practical strategies for functional assessment of the mice. OA signs in mice incorporate complex interrelations between pain and dysfunction. The current review provides a comprehensive compilation of mouse models of OA and animal evaluations that include static and dynamic clinical assessment of the mice, merging evaluation of pain and function by using automatic and noninvasive techniques. These new techniques allow simultaneous recording of spontaneous activity from thousands of home cages and also monitor environment conditions. Technologies such as videography and computational approaches can also be used to improve pain assessment in rodents but these new tools must first be validated experimentally. An example of a new tool is the digital ventilated cage, which is an automated home-cage monitor that records spontaneous activity in the cages.Osteoarthritis (OA) is a multidimensional health problem and a common chronic disease.36 Functional limitations, the absence of curative treatments, and the considerable cost to society result in a substantial impact on quality of life.76 Historically, OA has been described as whole joint and whole peri-articular diseases and as a systemic comorbidity.9,111 OA consists of a disruption of articular joint cartilage homeostasis leading to a catabolic pathway characterized by chondrocyte degeneration and destruction of the extracellular matrix (ECM). Low-grade chronic systemic inflammation is also actively involved in the process.42,92 In clinical practice, mechanical pain, often accompanied by a functional decline, is the main reason for consultations. Recommendations to patients provide guidance for OA management.22, 33,49,86 Evidence-based consensus has led to a variety of pharmacologic and nonpharmacologic modalities that are intended to guide health care providers in managing symptomatic patients. Animal-based research is of tremendous importance for the study of early diagnosis and treatment, which are crucial to prevent the disease progression and provide better care to patients.The purpose of animal-based OA research is 2-fold: to assess the impact of the OA disease (pain and function) and to study the efficacy of a potential treatment.18,67 OA model species include large animals such as the horse, goat, sheep, and dog, whose size and anatomy are expected to better reflect human joint conditions. However, small animals such as guinea pig, rabbit, mouse, and rat represent 77% of the species used.1,87 In recent years, mice have become the most commonly used model for studying OA. Mice have several advantageous characteristics: a short development and life span, easy and low-cost breeding and maintenance, easy handling, small joints that allow histologic analysis of the whole joint,32 and the availability of genetically modified lines.108 Standardized housing, genetically defined strains and SPF animals reduce the genetic and interindividual acquired variability. Mice are considered the best vertebrate model in terms of monitoring and controlling environmental conditions.7,14,15,87 Mouse skeletal maturation is reached at 10 wk, which theoretically constitutes the minimal age at which mice should be entered into an OA study.64,87,102 However, many studies violate this limit by testing mice at 8 wk of age.Available models for OA include the following (32,111 physical activity and exercise induced OA; noninvasive mechanical loading (repetitive mild loading and single-impact injury); and surgically induced (meniscectomy models or anterior cruciate ligament transection). The specific model used would be based on the goal of the study.7 For example, OA pathophysiology, OA progression, and OA therapies studies could use spontaneous, genetic, surgical, or noninvasive models. In addition, pain studies could use chemical models. Lastly, post-traumatic studies would use surgical or noninvasive models; the most frequently used method is currently destabilization of the medial meniscus,32 which involves transection of the medial meniscotibial ligament, thereby destabilizing the joint and causing instability-driven OA. An important caveat for mouse models is that the mouse and human knee differ in terms of joint size, joint biomechanics, and histologic characteristics (layers, cellularity),32,64 and joint differences could confound clinical translation.10 Table 1. Mouse models of osteoarthritis.
Open in a separate windowSince all animal models have strengths and weaknesses, it is often best to plan using a number of models and techniques together to combine the results.In humans, the lack of correlation between OA imaging assessment and clinical signs highlights the need to consider the functional data and the quality of life to personalize OA management. Clinical outcomes are needed to achieve 2 main goals: to assess the impact of the OA in terms of pain and function and to study the efficacy of treatments.65 Recent reviews offer few practical approaches to mouse functional assessment and novel approaches to OA models in mice.7,32,67,75,79,83,87, 100,120 This review will focus on static and dynamic clinical assessment of OA using automatic and noninvasive emerging techniques (Test name Techniques Kind of assessment Output Specific equipment required Static measurement Von Frey filament testing Calibrated nylon filaments of various thickness (and applied force) are pressed against the skin of the plantar surface of the paw in ascending order of force Stimulus- evoked pain-like behavior
Mechanical stimuli - Tactile allodynia
The most commonly used test Latency to paw withdrawal
and
Force exerted are recorded Yes Knee extension test Apply a knee extension on both the intact and affected knee
or
Passive extension range of the operated knee joint under anesthesia Stimulus-evoked pain-like behavior Number of vocalizations evoked in 5 extensions None Hotplate Mouse placed on hotplate. A cutoff latency has been determined to avoid lesions Stimulus-evoked pain-like behavior
Heat stimuli- thermal sensitivity Latency of paw withdrawal Yes Righting ability Mouse placed on its back Neuromuscular screening Latency to regain its footing None Cotton swab test Bringing a cotton swab into contact with eyelashes, pinna, and whiskers Stimulus-evoked pain-like behavior
Neuromuscular screening Withdrawal or twitching response None Spontaneous activity Spontaneous cage activity One by one the cages must be laid out in a specific platform Spontaneous pain behavior
Nonstimulus evoked pain
Activity Vibrations evoked by animal movements Yes Open field analysis Experiment is performed in a clear chamber and mice can freely explore Spontaneous pain behavior
Nonstimulus evoked pain
Locomotor analysis Paw print assessment
Distance traveled, average walking speed, rest time, rearing Yes Gait analysis Mouse is placed in a specific cage equipped with a fluorescent tube and a glass plate allowing an automated quantitative gait analysis Nonstimulus evoked pain
Gait analysis
Indirect nociception Intensity of the paw contact area, velocity, stride frequency, length, symmetry, step width Yes Dynamic weight bearing system Mouse placed is a specific cage. This method is a computerized capacitance meter (similar to gait analysis) Nonstimulus evoked pain
Weight-bearing deficits
Indirect nociception Body weight redistribution to a portion of the paw surface Yes Voluntary wheel running Mouse placed is a specific cage with free access to stainless steel activity wheels. The wheel is connected to a computer that automatically record data Nonstimulus evoked pain
Activity Distance traveled in the wheel Yes Burrowing analysis Mouse placed is a specific cage equipped with steel tubes (32 cm in length and 10 cm in diameter) and quartz sand in Plexiglas cages (600 · 340x200 mm) Nonstimulus evoked pain
Activity Amount of sand burrowed Yes Digital video recordings Mouse placed is a specific cage according to the tool Nonstimulus evoked pain
Or
Evoked pain Scale of pain or specific outcome Yes Digital ventilated cage system Nondisrupting capacitive-based technique: records spontaneous activity 24/7, during both light and dark phases directly from the home cage rack Spontaneous pain behavior
Nonstimulus evoked pain
Activity-behavior Distance walked, average speed, occupation front, occupation rear, activation density.
Animal locomotion index, animal tracking distance, animal tracking speed, animal running wheel distance and speed or rotation Yes Challenged activity Rotarod test Gradual and continued acceleration of a rotating rod onto which mice are placed Motor coordination
Indirect nociception Rotarod latency: riding time and speed with a maximum cut off. Yes Hind limb and fore grip strength Mouse placed over a base plate in front of a connected grasping tool Muscle strength of limbs Peak force, time resistance Yes Wire hang analysis Suspension of the mouse on the wire and start the time Muscle strength of limbs: muscle function and coordination Latency to fall gripping None
(self -constructed)
Models | Pros | Cons | |
---|---|---|---|
Spontaneous | Wild type mice7,9,59,67,68,70,72,74,80,85,87,115,118,119,120 | - Model of aging phenotype - The less invasive model - Physiological relevance: mimics human pathogenesis - No need for technical expertise - No need for specific equipment | - Variability in incidence - Large number of animals at baseline - Long-term study: Time consuming (time of onset: 4 -15 mo) - Expensive (husbandry) |
Genetically modified mice2,7,25,40,50,52,67,72,79,80, 89,120 | - High incidence - Earlier time of onset: 18 wk - No need for specific equipment - Combination with other models | - Time consuming for the strain development - Expensive | |
Chemical- induced | Mono-iodoacetate injection7,11,46,47,60,66,90,91,101,128 | - Model of pain-like phenotype - To study mechanism of pain and antalgic drugs - Short-term study: Rapid progression (2-7 wk) - Reproducible - Low cost | - Need for technical expertise - Need for specific equipment - Systemic injection is lethal - Destructive effect: does not allow to study the early phase of pathogenesis |
Papain injection66,67,120 | - Short-term study: rapid progression - Low cost | - Need for technical expertise - Need for specific equipment - Does not mimic natural pathogenesis | |
Collagenase injection7,65,67,98 | - Short-term study: rapid progression (3 wk) - Low cost | - Need for technical expertise - Need for specific equipment - Does not mimic natural pathogenesis | |
Non-invasive | High-fat diet (Alimentary induced obesity model)5,8,43,45,57,96,124 | Model of metabolic phenotype No need for technical expertise No need for specific equipment Reproducible | Long-term study: Time consuming (8 wk–9 mo delay) Expensive |
Physical activity and exercise model45,73 | Model of post traumatic phenotype No need for technical expertise | Long-term study: time consuming (18 mo delay) Expensive Disparity of results | |
Mechanical loading models Repetitive mild loading models Single-impact injury model7,16,23,24, 32,35,104,105,106 | Model of post traumatic phenotype Allow to study OA development Time of onset: 8-10 wk post injury Noninvasive | Need for technical expertise Need for specific equipment Heterogeneity in protocol practices Repetitive anesthesia required or ethical issues | |
Surgical | Ovariectomy114 | Contested. | |
Meniscectomy model7,32,63,67,87 | Model of post traumatic phenotype High incidence Short-term study: early time of onset (4 wk from surgery) To study therapies | Need for technical expertise Need for specific equipment Surgical risks Rapid progression compared to human | |
Anterior cruciate ligament transection (ACLT)7,39,40,61,48,67,70,87,126 | Model of posttraumatic phenotype High incidence Short-term study: early time of onset (3-10 wk from surgery) Reproducible To study therapies | Need for technical expertise Need for specific equipment Surgical risks Rapid progression compared to human | |
Destabilization of medial meniscus (DMM)7,32,39,40 | Model of post traumatic phenotype High incidence Short-term study: early time of onset (4 wk from surgery) To study therapies The most frequently used method | Need for technical expertise Need for specific equipment Surgical risks Rapid progression compared to human |
Mechanical stimuli - Tactile allodynia
The most commonly used test
and
Force exerted are recorded
or
Passive extension range of the operated knee joint under anesthesia
Heat stimuli- thermal sensitivity
Neuromuscular screening
Nonstimulus evoked pain
Activity
Nonstimulus evoked pain
Locomotor analysis
Distance traveled, average walking speed, rest time, rearing
Gait analysis
Indirect nociception
Weight-bearing deficits
Indirect nociception
Activity
Activity
Or
Evoked pain
Nonstimulus evoked pain
Activity-behavior
Animal locomotion index, animal tracking distance, animal tracking speed, animal running wheel distance and speed or rotation
Indirect nociception
(self -constructed)