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Biomedical subjects

Yun Xiang

Publications and source records attributed to Yun Xiang.

At least 19 recordsLinked to original sources

Rapid glycomic analysis of serum EVs reveals altered N-glycosylation patterns in ASD.

Objective laboratory diagnostics for autism spectrum disorder (ASD) are lacking, necessitating rapid clinical screening tools. Because serum extracellular vesicle (EV) N-glycosylation captures critical neurodevelopmental signatures, we developed a fast, biologically interpretable diagnostic strategy. EVs from ASD patients with language impairment and neurotypical controls were isolated using a rapid extra-polyethylene glycol precipitation/filtration (EPF) workflow, benchmarked against ultracentrifugation. Following MALDI-TOF/MS profiling, machine learning was re-evaluated using repeated nested cross-validation to reduce optimistic bias and potential information leakage. Among five classifiers, Random Forest (RF) showed the best overall balance across discrimination, calibration, and classification metrics. RF-based SHAP analysis provided transparent interpretation, highlighting key discriminative glycans, including H4N3S1F1, H5N5S1F1, and H3N5F1. To elucidate molecular mechanisms, we integrated public EV transcriptomic data. This revealed significant dysregulation of N-glycosylation machinery genes (e.g., MAN1A1, NEU1, OSTC, RPN2), whose expression directionally aligned with observed glycan shifts in synaptic pathways. Collectively, this rapid serum EV N-glycomic workflow, combined with leakage-controlled RF-based interpretation, provides a promising foundation for non-invasive ASD biomarker discovery and future multicenter validation.

Humans↗

Modifying the beta,gamma leaving-group bridging oxygen alters nucleotide incorporation efficiency, fidelity, and the catalytic mechanism of DNA polymerase beta.

DNA polymerase catalysis and fidelity studies typically compare incorporation of "right" versus "wrong" nucleotide bases where the leaving group is pyrophosphate. Here we use dGTP analogues replacing the beta,gamma-bridging O with CH2, CHF, CF2, or CCl2 to explore leaving-group effects on the nucleotidyl transfer mechanism and fidelity of DNA polymerase (pol) beta. T.G mismatches occur with fidelities similar to dGTP with the exception of the CH2 analogue, which is incorporated with 5-fold higher fidelity. All analogues are observed to bind opposite template C with Kds between 1 and 4 microM, and structural evidence suggests that the analogues bind in essentially the native conformation, making them suitable substrates for probing linear free energy relationships (LFERs) in transient-kinetics experiments. Importantly, Brnsted correlations of log(kpol) versus leaving-group pKa for both right and wrong base incorporation reveal similar sensitivities (betalg approximately -0.8) followed by departures from linearity, suggesting that a chemical step rather than enzyme conformational change is rate-limiting for either process. The location of the breaks relative to pKas of CF2, O, and the sterically bulky CCl2-bridging compounds suggests a modification-induced change in the mechanism by stabilization of leaving-group elimination. The results are addressed theoretically in terms of the energetics of successive primer 3'-O addition (bond forming) and pyrophosphate analogue elimination (bond breaking) reaction energy barriers.

Base Sequence↗

Metabolic changes in rat prefrontal cortex and hippocampus induced by chronic morphine treatment studied ex vivo by high resolution 1H NMR spectroscopy.

Ex vivo(1)H NMR spectroscopy was used to measure changes in the concentrations of cerebral metabolites in the prefrontal cortex (PFC) and hippocampus of rats subjected to repeated morphine treatment known to cause tolerance/dependence. The results show that repeated morphine exposure induces significant changes in the concentrations of a number of cerebral metabolites, and such changes are region specific. After 10 days of repeated morphine treatment, the concentration of gamma-aminobutyric acid (GABA) increased significantly in the PFC (20+/-11%), but decreased in the hippocampus (-31+/-12%), compared to control. In contrast, the glutamate (Glu) concentrations in both the PFC (-15+/-8%) and hippocampus (-13+/-4%) decreased significantly. Significant changes were also observed in the concentrations of hippocampal glutamine (Gln), myo-inositol, taurine, and N-acetyl aspartate. These morphine-induced changes were reversed during a subsequent 5-day withdrawal period. It is suggested that the observed concentration changes for Glu, Gln and GABA are most likely the result of a shift in the steady-state equilibrium of the Gln-Glu-GABA metabolic cycle. Changes in the metabolism of this neurotransmitter system might be part of the adaptive measures taken by the central nervous system in response to repeated morphine exposure and subsequent withdrawal.

Animals↗

Potentiometric biosensing of proteins with ultrasensitive ion-selective microelectrodes and nanoparticle labels.

We report here for the first time on the use of potentiometry for ultrasensitive nanoparticle-based detection of protein interactions. A silver ion-selective microelectrode is used to detect silver ions oxidatively released from silver enlarged gold nanoparticle labels in a sandwich immunoassay. Since potentiometry is expected to largely maintain its analytical characteristics upon reducing the sample volume, it is anticipated that this approach may form the basis for bioassays with attractive detection limits.

Biosensing Techniques↗

Nanoparticle-based sensing of glycan-lectin interactions.

Here we present the first report on nanoparticle-based biosensing of glycan markers of diseases. The protocol relies on the competition between a nanocrystal (CdS)-tagged sugar and the target sugar for the binding sites of surface-confined lectin and monitoring the extent of competition through highly sensitive electrochemical detection of the captured nanocrystal. This development is expected to allow decentralized detection of carbohydrate moieties and lectin-carbohydrate interactions to be performed more rapidly, sensitively, inexpensively, and reliably.

Lectins↗

Sensitive and rapid electrochemical bioassay of glycosidase activity.

Here we present a highly sensitive, rapid and simple electrochemical assay for glycosidases based on treatment of the glycosidase with the appropriate p-nitrophenyl glycoside and anodic detection of released p-nitrophenol. The attractive characteristics of the new bioassay should facilitate advanced glycomic research and routine clinical diagnostics since glycosidases are associated with various diseases.

Bacteria↗

Simulating the effect of DNA polymerase mutations on transition-state energetics and fidelity: evaluating amino acid group contribution and allosteric coupling for ionized residues in human pol beta.

The control of the catalytic power and fidelity of DNA polymerases involves the complex combined effect of the protein residues, the Mg2+ ions, and the interaction between the DNA bases. In an attempt to advance the understanding of catalytic control, we analyze the effect of the protein residues, taking human DNA polymerase beta as a model system. Specifically, we examine the ability of different theoretical models to reproduce the effect of ionized residues on the transition state (TS) binding energy and the corresponding k(pol)/KD. We also explore the role of the Mg2+ ions in the binding and catalysis processes. The application of the microscopic linear response approximation (LRA) and the semimacroscopic PDLD/S-LRA methods to a benchmark of mutational studies produces a semiquantitative correlation and indicates that these methods can provide predictive power. However, pre-steady-state and steady-state kinetic studies currently available do not give a unique benchmark, owing principally to widely varying experimental conditions. We believe that a more uniform experimental benchmark is needed for further refinement of the theoretical models. The analysis of the correlation between the results obtained by a rigorous thermodynamic cycle and by simpler approximations indicates that the protein reorganization between the open, i.e., unbound, form and the closed form does not change the magnitude of the calculated mutational effects in a major way for the experimental data used in this study. The use of the PDLD/S-LRA group contributions allows us to construct energy-based correlation diagrams that can help toward understanding the coupling, i.e., transfer of information, between the base-binding and catalytic sites and to gain a deeper insight into the molecular basis of DNA replication fidelity. Our analysis suggests that the allosteric matrix obtained by subtracting the correlation matrix of the correct and incorrect base pairs should prove useful in exploring the information transfer occurring between the base-binding and catalytic sites. This type of treatment should be especially effective when coupled with structural studies of polymerase-DNA-base mispair ternary complexes and studies using polymerase double mutants. We discuss the potential of direct calculations of binding energy of the TS in a rational design of TS analogues and in drug design.

Allosteric Regulation↗

Quantum-dot/aptamer-based ultrasensitive multi-analyte electrochemical biosensor.

The coupling of aptamers with the coding and amplification features of inorganic nanocrystals is shown for the first time to offer a highly sensitive and selective simultaneous bioelectronic detection of several protein targets. This is accomplished in a single-step displacement assay in connection to a self-assembled monolayer of several thiolated aptamers conjugated to proteins carrying different inorganic nanocrystals. Electrochemical stripping detection of the nondisplaced nanocrystal tracers results in a remarkably low (attomole) detection limit, that is, significantly lower than those of existing aptamer biosensors. The new device offers great promise for measuring a large panel of disease markers present at ultralow levels during early stages of the disease progress.

Aptamers, Peptide↗

Neurochemical changes in brain induced by chronic morphine treatment: NMR studies in thalamus and somatosensory cortex of rats.

To investigate the effects of chronic morphine treatment and its cessation on thalamus and the somatosensory cortex, an ex vivo high resolution (500 MHz) (1)H nuclear magnetic resonance spectroscopy (NMRS), in the present study, was applied to detect multiple alterations of neurochemicals and/or neurometabolites in the rats. Ten days of chronic morphine administration was observed to markedly increase the total amount of lactate (Lac), myo-inositol (my-Ins) (each P < 0.01) and aspartate (Asp) (P < 0.05), and significantly decrease that of glutamate (Glu) and glutamine (Gln) in the rats thalamus (each P < 0.05). In the somatosensory cortex, chronic morphine was shown to increase the level of Lac and my-Ins, and decrease that of Glu (each P < 0.05). Interestingly, the ratio of Glu/GABA was found to decrease in these two brain areas after chronic morphine treatment, and among the detectable neurochemicals in those two cerebral areas, only taurine (Tau) showed to result in a significant increment in thalamus during the process of morphine discontinuation (P < 0.05). Moreover, the alterations of multiple neurochemicals due to chronic morphine exhibited a tendency of recovery to the normal level over the course of morphine withdrawal. The results suggested that, in thalamus and the somatosensory cortex, chronic morphine administration and its cessation could induce multiple neurochemical changes, which may involve in the brain energy metabolism, activity and transition of neurotransmitters.

Animals↗

Quantum computational analysis for drug resistance of HIV-1 reverse transcriptase to nevirapine through point mutations.

Quantum chemical calculation has been carried out to analyze binding interactions of nevirapine to HIV-1 reverse transcriptase (RT) and single point mutants Lys103 --> Asn (K103N) and Tyr181--> Cys (Y181C). In this study, the entire system of HIV-1 RT/nevirapine complex with over 15,000 atoms is explicitly treated by using a recently developed MFCC (molecular fractionation with conjugate caps) approach. Quantum calculation of protein-drug interaction energy is performed at Hartree-Fock and DFT levels. The RT-nevirapine interaction energies are computed at fixed geometries given by the crystal structures of the HIV-1 RT/nevirapine complexes from protein data bank (PDB). The present calculation provides a quantum mechanical interaction spectrum that explicitly shows interaction energies between nevirapine and individual amino-acid fragments of RT. Detailed interactions that are responsible for drug resistance of two major RT mutations are elucidated based on computational analysis in relation to the crystal structures of binding complexes. The present result provides a qualitative molecular understanding of HIV-1 RT drug resistance to nevirapine and gives useful guidance in designing improved inhibitors with better resistance to RT mutation.

Anti-HIV Agents↗

What are the roles of substrate-assisted catalysis and proximity effects in peptide bond formation by the ribosome?

The action of the peptidyl transferase center of the large ribosomal unit presents a fundamental step in the evolution from the RNA world to the protein world. Thus, it is important to understand the origin of the catalytic power of this ancient enzyme. Earlier studies suggested that the ribosome catalyzes peptide bond formation by using one of its groups as a general base, while more recent works have proposed that the catalysis is due to proximity effects or to substrate-assisted catalysis. However, the actual nature of the catalytic mechanism remains controversial. This work addresses the origin of the catalytic power of the ribosome by using computer simulation approaches and comparing the energetics of the peptide bond formation in the ribosome and in water. It is found that a significant part of the observed activation entropy of the reference solution reaction is due to solvation entropy, and that the proximity effect is smaller than previously thought. It is also found that the 2'-OH of the A76 ribose, which is associated with a large rate acceleration in the ribosome reaction, does not catalyze peptide bond formation in water. Thus, the catalytic effect cannot be attributed to substrate-assisted catalysis but rather to the effect of the ribosome on the reacting system. Overall, our calculations indicate that the reduction of the activation free energy is mainly due to electrostatic effects. The nature of these effects and their relationship to catalytic factors in modern enzymes is analyzed and discussed.

Binding Sites↗

Quantum study of mutational effect in binding of efavirenz to HIV-1 RT.

Full quantum mechanical computational study has been carried out to study binding of efavirenz (EFZ), a second generation FDA approved nonnucleoside inhibitor, to HIV-1 reverse transcriptase (RT) and its K103N and Y181C mutants using the MFCC (molecular fractionation with conjugate caps) method. The binding interaction energies between EFZ and each protein fragment are calculated using a combination of HF/3-21G, B3LYP/6-31G* and MP2/6-31G* ab initio levels. The present computation shows that Efavirenz binds to HIV-1 RT predominantly through strong electrostatic interaction with the Lys101 residue. The small loss of binding to K103N mutant by Efavirenz can be attributed to a slightly weakened attractive interaction between the drug and Lys101 due to a conformational change of mutation. The small loss of binding to Y181C mutant by efavirenz can be attributed to the Glu698 residue moving closer to EFZ due to conformational change, which results in an increase of repulsive energy relative to the wild type (WT). The binding of efavirenz-derived DPC961 to HIV-1 RT is enhanced by an additional attractive interaction to residue Hid235 and reduced repulsion to Glu698, resulting in an increase of binding energy by about 4 kcal/mol.

Alkynes↗

Quantum mechanical map for protein-ligand binding with application to beta-trypsin/benzamidine complex.

We report full ab initio Hartree-Fock calculation to compute quantum mechanical interaction energies for beta-trypsin/benzamidine binding complex. In this study, the full quantum mechanical ab initio energy calculation for the entire protein complex with 3238 atoms is made possible by using a recently developed MFCC (molecular fractionation with conjugate caps) approach in which the protein molecule is decomposed into amino acid-based fragments that are properly capped. The present MFCC ab initio calculation enables us to obtain an "interaction spectrum" that provides detailed quantitative information on protein-ligand binding at the amino acid levels. These detailed information on individual residue-ligand interaction gives a quantitative molecular insight into our understanding of protein-ligand binding and provides a guidance to rational design of potential inhibitors of protein targets.

Aspartic Acid↗

Fully quantum mechanical energy optimization for protein-ligand structure.

We present a quantum mechanical approach to study protein-ligand binding structure with application to a Adipocyte lipid-binding protein complexed with Propanoic Acid. The present approach employs a recently develop molecular fractionation with a conjugate caps (MFCC) method to compute protein-ligand interaction energy and performs energy optimization using the quasi-Newton method. The MFCC method enables us to compute fully quantum mechanical ab initio protein-ligand interaction energy and its gradients that are used in energy minimization. This quantum optimization approach is applied to study the Adipocyte lipid-binding protein complexed with Propanoic Acid system, a complex system consisting of a 2057-atom protein and a 10-atom ligand. The MFCC calculation is carried out at the Hartree-Fock level with a 3-21G basis set. The quantum optimized structure of this complex is in good agreement with the experimental crystal structure. The quantum energy calculation is implemented in a parallel program that dramatically speeds up the MFCC calculation for the protein-ligand system. Similarly good agreement between MFCC optimized structure and the experimental structure is also obtained for the streptavidin-biotin complex. Due to heavy computational cost, the quantum energy minimization is carried out in a six-dimensional space that corresponds to the rigid-body protein-ligand interaction.

Carrier Proteins↗

On-line identification of phenanthroindolizidine alkaloids in a crude extract from Tylophora atrofolliculata by liquid chromatography combined with tandem mass spectrometry.

Electrospray ionization multi-stage tandem mass spectrometry (ESI-MS(n)) and liquid chromatography coupled with sequential mass spectrometry (LC/MS(n)) were applied to identify trace-level phenanthroindolizidine alkaloids in crude extracts from Tylophora atrofolliculata. Based on the relationship between the characteristic fragmentation reactions and the structural features of related compounds of known structure from this plant, the bioactive crude extract was analyzed in detail by positive and negative ion ESI-MS(n), LC/UV-MS and LC/MS(n) techniques. A total of nine constituents in the crude extract were identified rapidly, including several isomers; seven of these constituents are new and two are known compounds. The structures of four of these constituents were subsequently confirmed by nuclear magnetic resonance (NMR) and accurate mass measurements using high-resolution fast-atom bombardment mass spectrometry (FAB-HRMS).

Alkaloids↗