Microstructural Modeling of Collagen Network Mechanics and Interactions with the Proteoglycan Gel in Articular Cartilage

Cartilage matrix mechanical function is largely determined by interactions between the collagen fibrillar network and the proteoglycan gel. Although the molecular physics of these matrix constituents have been characterized and modern imaging methods are capable of localized measurement of molecular densities and orientation distributions, theoretical tools for using this information for prediction of cartilage mechanical behavior are lacking. We introduce a means to model collagen network contributions to cartilage mechanics based upon accessible microstructural information (fibril density and orientation distributions) and which self-consistently follows changes in microstructural geometry with matrix deformations. The interplay between the molecular physics of the collagen network and the proteoglycan gel is scaled up to determine matrix material properties, with features such as collagen fibril pre-stress in free-swelling cartilage emerging naturally and without introduction of ad hoc parameters. Methods are developed for theoretical treatment of the collagen network as a continuum-like distribution of fibrils, such that mechanical analysis of the network may be simplified by consideration of the spherical harmonic components of functions of the fibril orientation, strain, and stress distributions. Expressions for the collagen network contributions to matrix stress and stiffness tensors are derived, illustrating that only spherical harmonic components of orders 0 and 2 contribute to the stress, while orders 0, 2, and 4 contribute to the stiffness. Depth- and compression-dependent equilibrium mechanical properties of cartilage matrix are modeled, and advantages of the approach are illustrated by exploration of orientation and strain distributions of collagen fibrils in compressed cartilage. Results highlight collagen-proteoglycan interactions, especially for very small physiological strains where experimental data are relatively sparse. These methods for determining matrix mechanical properties from measurable quantities at the microscale (composition, structure, and molecular physics) may be useful for investigating cartilage structure-function relationships relevant to load-bearing, injury, and repair.     

A rangewide population genetic study of trumpeter swans

For management purposes, the range of naturally occurring trumpeter swans (Cygnus buccinator) has been divided into two populations, the Pacific Coast Population (PP) and the Rocky Mountain Population (RMP). Little is known about the distribution of genetic variation across the species’ range despite increasing pressure to make difficult management decisions regarding the two populations and flocks within them. To address this issue, we used rapidly evolving genetic markers (mitochondrial DNA sequence and 17 nuclear microsatellite loci) to elucidate the underlying genetic structure of the species. Data from both markers revealed a significant difference between the PP and RMP with the Yukon Territory as a likely area of overlap. Additionally, we found that the two populations have somewhat similar levels of genetic diversity (PP is slightly higher) suggesting that the PP underwent a population bottleneck similar to a well-documented one in the RMP. Both genetic structure and diversity results reveal that the Tri-State flock, a suspected unique, non-migratory flock, is not genetically different from the Canadian flock of the RMP and need not be treated as a unique population from a genetic standpoint. Finally, trumpeter swans appear to have much lower mitochondrial DNA variability than other waterfowl studied thus far which may suggest a previous, species-wide bottleneck.     

Neuromechanics: an integrative approach for understanding motor control

Neuromechanics seeks to understand how muscles, sense organs,motor pattern generators, and brain interact to produce coordinatedmovement, not only in complex terrain but also when confrontedwith unexpected perturbations. Applications of neuromechanicsinclude ameliorating human health problems (including prosthesisdesign and restoration of movement following brain or spinalcord injury), as well as the design, actuation and control ofmobile robots. In animals, coordinated movement emerges fromthe interplay among descending output from the central nervoussystem, sensory input from body and environment, muscle dynamics,and the emergent dynamics of the whole animal. The inevitablecoupling between neural information processing and the emergentmechanical behavior of animals is a central theme of neuromechanics.Fundamentally, motor control involves a series of transformationsof information, from brain and spinal cord to muscles to body,and back to brain. The control problem revolves around the specifictransfer functions that describe each transformation. The transferfunctions depend on the rules of organization and operationthat determine the dynamic behavior of each subsystem (i.e.,central processing, force generation, emergent dynamics, andsensory processing). In this review, we (1) consider the contributionsof muscles, (2) sensory processing, and (3) central networksto motor control, (4) provide examples to illustrate the interplayamong brain, muscles, sense organs and the environment in thecontrol of movement, and (5) describe advances in both roboticsand neuromechanics that have emerged from application of biologicalprinciples in robotic design. Taken together, these studiesdemonstrate that (1) intrinsic properties of muscle contributeto dynamic stability and control of movement, particularly immediatelyafter perturbations; (2) proprioceptive feedback reinforcesthese intrinsic self-stabilizing properties of muscle; (3) controlsystems must contend with inevitable time delays that can simplifyor complicate control; and (4) like most animals under a varietyof circumstances, some robots use a trial and error processto tune central feedforward control to emergent body dynamics.     

A cross-cancer metastasis signature in the microRNA–mRNA axis of paired tissue samples

In the progression of cancer, cells acquire genetic mutations that cause uncontrolled growth. Over time, the primary tumour may undergo additional mutations that allow for the cancerous cells to spread throughout the body as metastases. Since metastatic development typically results in markedly worse patient outcomes, research into the identity and function of metastasis-associated biomarkers could eventually translate into clinical diagnostics or novel therapeutics. Although the general processes underpinning metastatic progression are understood, no clear cross-cancer biomarker profile has emerged. However, the literature suggests that some microRNAs (miRNAs) may play an important role in the metastatic progression of several cancer types. Using a subset of The Cancer Genome Atlas (TCGA) data, we performed an integrated analysis of mRNA and miRNA expression with paired metastatic and primary tumour samples to interrogate how the miRNA–mRNA regulatory axis influences metastatic progression. From this, we successfully built mRNA- and miRNA-specific classifiers that can discriminate pairs of metastatic and primary samples across 11 cancer types. In addition, we identified a number of miRNAs whose metastasis-associated dysregulation could predict mRNA metastasis-associated dysregulation. Among the most predictive miRNAs, we found several previously implicated in cancer progression, including miR-301b, miR-1296, and miR-423. Taken together, our results suggest that metastatic samples have a common cross-cancer signature when compared with their primary tumour pair, and that these miRNA biomarkers can be used to predict metastatic status as well as mRNA expression.

     

Overexpression of the type-1 insulin-like growth factor receptor increases ligand-dependent proliferation and differentiation in bovine skeletal myogenic cultures

Previous studies demonstrated that overexpression of the type-1 insulin-like growth factor (IGF) receptor (IGF-1R) in skeletal myogenic cell lines increased proliferation and differentiation responses to IGF. However, it was unclear if such manipulations in primary, untransformed skeletal myogenic cells would result in modulation of these responses, which may be more stringently regulated in primary cells than in myogenic cell lines. In this study, low passage untransformed fetal bovine myogenic cultures were infected with a replication-deficient retroviral expression vector (LISN) coding for the human IGF-1R or with a control retroviral vector (LNL6). Bovine myogenic cultures infected with the LISN vector (Bov-LISN) displayed ten times more IGF-1Rs than controls (Bov-LNL6). Bov-LISN myogenic cultures exhibited elevated rates of IGF-I-stimulated proliferation and increased rates of terminal differentiation which were reduced to control levels by the anti-human IGF-1R antibody αIR3. These findings indicate overexpression of the IGF-1R can enhance IGF sensitivity and thereby modify the proliferation and differentiation behavior of untransformed low passage myoblasts. Such manipulations may be useful to increase muscle mass in clinical or agricultural applications. © 1996 Wiley-Liss, Inc.     

Southern blot and dot blot hybridisation compared to PCR for the detection of human papillomavirus DNA in biopsies of the uterine cervix from women with dysplasia

The aim of this study was to compare the sensitivity of Southern blot (SB) and dot blot (DB) hybridisation with polymerase chain reaction (PCR) for the detection of HPV in cervical biopsies from samples with differing histology. One hundred and forty seven women with cervical dysplasia had biopsies performed; one sample was analyzed for HPV DNA from types 6/11, 16, and 18 by SB, DB and PCR (L1 consensus primer and type specific probes) while an adjacent sample was examined histologically. The histology of the samples was normal in 40 (27%), squamous metaplasia in 25 (17%), inflammation 2 (1%) HPV infection 24 (17%), cervical intraepithelial neoplasia (CIN) grade I in 11 (7%), CIN II in 18 (12%), CIN III in 22 (15%), while 5 (3%) had invasive cancer. The number of biopsies positive for HPV DNA from types 6/11, 16, and 18, using the different hybridisation methods was 56 (38%) by dot blot, 57 (39%) by Southern blot hybridisation and 66 (45%) by PCR. When the L1 consensus primer was used 100 (68%) specimens were positive by PCR. The sensitivity of SB and DB hybridisation, as compared with PCR (type specific probes 6/11, 16, 18) was greater in biopsies with abnormal histology (histological grades of HPV infection and greater, as a group) (sensitivity of SB 83%, DB 74%) than those with normal and metaplastic change (as a group) (sensitivity of SB 44%, DB 35%) (P < 0.005 for SB and DB) (inflammation excluded from analysis). This study demonstrated that the sensitivity of SB and DB hybridisation, relative to PCR is greater in samples with abnormal histology than in samples with normal histology.