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Biomedical subjects

Andrew Hsu

Publications and source records attributed to Andrew Hsu.

8 recordsLinked to original sources

Knee loading dynamically alters intramedullary pressure in mouse femora.

Dynamic mechanical loads have been known to stimulate bone formation. Many biophysical factors such as number of daily loading cycles, bone strain, strain-induced interstitial fluid flow, molecular transport, and modulation of intramedullary pressure have been considered as potential mediators in mechanotransduction of bone. Using a knee loading modality that enhances anabolic responses in mouse hindlimb, we addressed a question: Do oscillatory loads applied to the knee induce dynamic alteration of intramedullary pressure in the femoral medullary cavity? To answer this question, mechanical loads were applied to the knee with a custom-made piezoelectric loader and intramedullary pressure in the femoral medullary cavity was measured with a fiber optic pressure sensor. We observed that in response to sinusoidal forces of 0.5 Hz and 10 Hz, pressure amplitude increased up to 4-N loads and reached a plateau at 130 Pa. This amplitude significantly decreased with a loading frequency above 20 Hz. To confirm alteration of intramedullary pressure, real-time motion of microparticles in a glass tube inserted to the femoral medullary cavity ex vivo was visualized. Taken together, these data reveal that knee loading dynamically alters intramedullary pressure as a function of loading intensities and frequencies.

Animals↗

Knee-loading modality drives molecular transport in mouse femur.

Mechanical loading is well known to stimulate bone remodeling. Load-driven interstitial fluid flow and molecular transport have been postulated to play a role in the enhancement of bone formation. In order to evaluate load-driven molecular transport in a lacunocanalicular network, we conducted fluorescence recovery after photobleaching (FRAP) experiments using lacunae stained with uranine (376 Da). Loads were applied to a mouse femur ex vivo with a novel knee-loading modality, where the distal epiphysis was loaded with a sinusoidal force at 2 Hz. The lacunae in the diaphysis located 25% (approximately 4 mm) proximal to the loading site were photobleached and sequentially imaged, and a time constant for fluorescence recovery was determined both with and without knee loading. The time constant was estimated as the period to recover 63% of fluorescent intensity using a best-fit exponential curve. The results reveal that the applied loads shortened the time constant from 33 +/- 9 s with non-loading control to 25 +/- 11 s with knee loading (p = 0.0014). The strain in the measurement site was <100 microstain along the femoral midshaft, which was an order of magnitude smaller than the minimum effective strain threshold for bone remodeling. Taken together, the current study supports the notion that molecular transport in cortical bone is enhanced by the loads applied to the epiphysis without inducing significant in situ strain in the diaphysis.

Animals↗

Monte Carlo simulations of hydrogen adsorption in alkali-doped single-walled carbon nanotubes.

Monte Carlo simulations and Widom's test particle insertion method have been used to calculate the solubility coefficients (S) and the adsorption equilibrium constants (K) in single-walled (10,10) armchair carbon nanotubes including single nanotubes, and nanotube bundles with various configurations with and without alkali dopants. The hydrogen adsorption isotherms at room temperature were predicted by following the Langmuir adsorption model using the calculated constants S and K. The simulation results were in good agreement with experimental data as well as the grand canonical Monte Carlo simulation results reported in the literature. The simulations of nanotube bundle configurations suggest that the gravimetric hydrogen adsorption increases with internanotube gap size. It may be attributed to favorable hydrogen-nanotube interactions outside the nanotubes. The effect of alkali doping on hydrogen adsorption was studied by incorporating K+ or Li+ ions into nanotube arrays using a Monte Carlo simulation. The results on hydrogen adsorption isotherms indicate hydrogen adsorption of 3.95 wt% for K-doping, and 4.21 wt% for Li-doping, in reasonable agreement with the experimental results obtained at 100 atm and room temperature.

Journal Article↗

Assessing the quality of colorectal cancer staging: documenting the process in improving the staging of node-negative colorectal cancer.

HYPOTHESIS: Examination of 14 or more nodes is the optimal criterion to accurately stage node-negative colorectal cancer and predict outcome. DESIGN: Case series. SETTING: Three university-affiliated community medical centers. PATIENTS: A total of 2149 individuals with apparently localized, invasive colorectal cancer examined between January 1, 1990, and December 31, 2002. INTERVENTION: Study of tumor registry data. MAIN OUTCOME MEASURES: Nodal status and disease-specific survival. RESULTS: The number of nodes examined ranged from 0 to 97 (mean +/- SD, 18 +/- 15 nodes). The mean number of nodes examined in node-positive individuals was 21.0 vs 16.6 in node-negative individuals (P<.001). The mean number of nodes examined at medical center A was 22.3; center B, 17.9; and center C, 14.0. The mean number of nodes examined for T3 and T4 tumors at center A was 26; center B, 20; and center C, 16 (P<.001). The node-positive rate for all T3 and T4 lesions was 49.7% at center A, 57.8% at center B, and 50.0% at center C (P<.001). Despite significant differences in the mean number of nodes examined between medical centers, the overall survival in patients with node-negative colorectal cancer in the 3 medical centers was not statistically different (P = .79). The criterion of examining 14 or more nodes distinguished between individuals at low risk for recurrence and those at increased risk. CONCLUSIONS: Variability exists between medical centers in the pathological analysis of colorectal cancer specimens. However, within an institution, examining a mean of 14 or more nodes accurately stages apparently node-negative colorectal cancer and accurately predicts outcome.

Adult↗