Biomedical subjects

Qiuhong He

Publications and source records attributed to Qiuhong He.

4 recordsLinked to original sources

PubMed2006

High flow-resolution for mobility estimation in 2D-ENMR of proteins using maximum entropy method (MEM-ENMR).

Multidimensional electrophoretic NMR (nD-ENMR) is a potentially powerful tool for structural characterization of co-existing proteins and protein conformations. By applying a DC electric field pulse, the electrophoretic migration rates of different proteins were detected experimentally in a new dimension of electrophoretic flow. The electrophoretic mobilities were employed to differentiate protein signals. In U-shaped ENMR sample chambers, individual protein components in a solution mixture followed a cosinusoidal electrophoretic interferogram as a function of its unique electrophoretic migration rate. After Fourier transformation in the electrophoretic flow dimension, the protein signals were resolved at different resonant frequencies proportional to their electrophoretic mobilities. Currently, the mobility resolution of the proteins in the electrophoretic flow dimension is limited by severe truncations of the electrophoretic interferograms due to the finite electric field strength available before the onset of heat-induced convection. In this article, we present a successful signal processing method, the Burg's maximum entropy method (MEM), to analyze the truncated ENMR signals (MEM-ENMR). Significant enhancement in flow resolution was demonstrated using two-dimensional ENMR of two protein samples: a lysozyme solution and a solution mixture of bovine serum albumin (BSA) and ubiquitin. The electrophoretic mobilities of lysozyme, BSA and ubiquitin were measured from the MEM analysis as 7.5x10(-5), 1.9x10(-4) and 8.7x10(-5) cm2 V-1 s-1, respectively. Results from computer simulations confirmed a complete removal of truncation artifacts in the MEM-ENMR spectra with 3- to 6-fold resolution enhancement.

Computer Simulation↗

PubMed2004

In vivo tumor lactate relaxation measurements by selective multiple-quantum-coherence (Sel-MQC) transfer.

The frequency-selective multiple-quantum-coherence (Sel-MQC) lactate (Lac) filter offers complete lipid and water suppression in a single scan for robust in vivo detection of tumor Lac, even in the presence of abundant lipids. Conversion of the detected signal into accurate tissue concentrations of Lac requires knowledge of in vivo Lac T1 and T2 relaxation times. This work reports modifications to the Sel-MQC pulse sequence, T1- and T2-Sel-MQC, that facilitate relaxation measurements of Lac. The T1-Sel-MQC sequence combines an inversion prepulse with the Sel-MQC filter. The T2-Sel-MQC sequence incorporates a CH3-selective 180 degrees pulse during the MQ preparation period to overcome the J-modulation effects and allow the insertion of variable echo delays. The performance of these sequences was evaluated with the use of phantoms and subcutaneous murine tumor models in vivo. The present approach will allow investigators to correct for the relaxation-induced Lac signal loss in Sel-MQC experiments for the quantitative mapping of in vivo tumor Lac distribution.

Animals↗

PubMed2002

Constant-time multidimensional electrophoretic NMR.

Multidimensional electrophoretic NMR (ENMR) has been introduced to determine structures of coexisting proteins and protein conformations in solution. Signals of different proteins are separated in a new dimension of electrophoretic flow according to their characteristic electrophoretic mobilities. The electrophoretic interferograms have been generated in the flow dimension in two approaches by incrementing either the amplitude or the duration of the electric field. The ENMR method of incrementing the duration of the electric field, however, introduces severe signal decays due to molecular diffusion and spin relaxation, limiting the effectiveness of the method. In this study, an improved method of constant-time multidimensional ENMR (CT-ENMR) has been proposed and successfully tested. The time delays between the magnetic field gradients and the RF pulses are kept constant in this new method so that the molecular diffusion and spin relaxation processes contribute to only a constant factor of signal amplitude. As an alternative approach of incrementing the amplitude of the electric field, this novel method significantly enhances our capability and potential in characterizing structural changes of interacting proteins during biological signaling processes. The CT-ENMR method is particularly useful in studies where the amplitude-incrementing of the electric field is not optimal. For example, the CT-ENMR method is superior when the electric field is applied in the direction not parallel to the static magnetic field B(0) to the xy-magnetization. The new method was successfully demonstrated with a sample solution containing 100 mM 4,9-dioxa-1,12-dodecanediamine and 100 mM L-aspartic acid in D(2)O.

Journal Article↗

PubMedDate not supplied

Magnetic resonance spectroscopic imaging of tumor metabolic markers for cancer diagnosis, metabolic phenotyping, and characterization of tumor microenvironment.

Cancer cells display heterogeneous genetic characteristics, depending on the tumor dynamic microenvironment. Abnormal tumor vasculature and poor tissue oxygenation generate a fraction of hypoxic tumor cells that have selective advantages in metastasis and invasion and often resist chemo- and radiation therapies. The genetic alterations acquired by tumors modify their biochemical pathways, which results in abnormal tumor metabolism. An elevation in glycolysis known as the "Warburg effect" and changes in lipid synthesis and oxidation occur. Magnetic resonance spectroscopy (MRS) has been used to study tumor metabolism in preclinical animal models and in clinical research on human breast, brain, and prostate cancers. This technique can identify specific genetic and metabolic changes that occur in malignant tumors. Therefore, the metabolic markers, detectable by MRS, not only provide information on biochemical changes but also define different metabolic tumor phenotypes. When combined with the contrast-enhanced Magnetic Resonance Imaging (MRI), which has a high sensitivity for cancer diagnosis, in vivo magnetic resonance spectroscopic imaging (MRSI) improves the diagnostic specificity of malignant human cancers and is becoming an important clinical tool for cancer management and care. This article reviews the MRSI techniques as molecular imaging methods to detect and quantify metabolic changes in various tumor tissue types, especially in extracranial tumor tissues that contain high concentrations of fat. MRI/MRSI methods have been used to characterize tumor microenvironments in terms of blood volume and vessel permeability. Measurements of tissue oxygenation and glycolytic rates by MRS also are described to illustrate the capability of the MR technology in probing molecular information non-invasively in tumor tissues and its important potential for studying molecular mechanisms of human cancers in physiological conditions.

Adult↗