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Biomedical subjects

Chi Zhang

Publications and source records attributed to Chi Zhang.

At least 55 records · Page 3Linked to original sources

The use of a retrievable self-expanding stent in treating childhood benign esophageal strictures.

BACKGROUND/PURPOSE: Esophageal stenting is a popular form of treatment of esophageal strictures in adults but is not widely used in children. The aim of the current study was to investigate whether esophageal stents could be used safely and effectively in the treatment of esophageal stenosis in children. METHODS: Covered retrievable expandable nitinol stents were placed in 8 children with corrosive esophageal stenosis. The stents were removed 1 to 4 weeks after insertion. RESULTS: The stents were placed in all patients without complications and were later removed successfully. After stent placement, all patients could take solid food without dysphagia. Stent migration occurred in one patient and so the insertion procedure was repeated to reposition the stent. During the 3-month follow-up period after stent removal, all children could eat satisfactorily. After 6 months, 2 children required balloon dilation (3 times in one and 5 times in the other). The dysphagia score improved in all patients. CONCLUSIONS: The use of the covered retrievable expandable stent is an effective and safe method in treating childhood corrosive esophageal stenosis.

Alloys↗

Protein flexibility prediction by an all-atom mean-field statistical theory.

We extended a mean-field model to proteins with all atomic detail. The all-atom mean-field model was used to calculate the dynamic and thermodynamic properties of a three-helix bundle fragment of Staphylococcal protein A (Protein Data Bank [PDB] ID 1BDD) and alpha-spectrin SH3 domain protein (PDB ID 1SHG). We show that a model with all-atomic detail provides a significantly more accurate prediction of flexibility of residues in proteins than does a coarse-grained residue-level model. The accuracy of flexibility prediction is further confirmed by application of the method to 18 additional proteins with the largest size of 224 residues.

Mathematics↗

Extensive phosphorylation of Smoothened in Hedgehog pathway activation.

The transmembrane protein Smoothened (Smo) is activated in response to the extracellular protein signal, Hedgehog (Hh), and transmits this state of pathway activity into the cell. Previous studies in Drosophila have correlated pathway activation with Smo accumulation and increased phosphorylation. Using immunopurification and mass spectrometry, we identify here 26 serine/threonine residues within the Smo C-terminal cytoplasmic tail that are phosphorylated in Hh-stimulated cells. By systematically substituting alanine or glutamic acid to block or simulate phosphorylation, we provide evidence for a functional role of collective phosphorylation of a subset of phosphoresidues in pathway activation. This role is indicated by the ability of altered Smo proteins to produce changes in transcription of Hh-responsive genes in vivo and in cultured cells. These altered Smo proteins also affect biochemical indicators of pathway activity, such as Smo accumulation and phosphorylation of other pathway components. The prevalence and arrangement of phosphoresidues within the Smo cytoplasmic tail at recognition sites for cAMP-dependent protein kinase and casein kinase 1 suggest a role for these kinases in Smo phosphorylation, and such a role is supported by the effects of manipulating kinase activities in cultured cells. Our studies confirm and extend previous studies showing a positive effect for cAMP-dependent protein kinase and uncover a positive role for casein kinase 1alpha in Hh pathway activation.

Amino Acid Sequence↗

Repression of nodal expression by maternal B1-type SOXs regulates germ layer formation in Xenopus and zebrafish.

B1-type SOXs (SOXs 1, 2, and 3) are the most evolutionarily conserved subgroup of the SOX transcription factor family. To study their maternal functions, we used the affinity-purified antibody antiSOX3c, which inhibits the binding of Xenopus SOX3 to target DNA sequences [Development. 130(2003)5609]. The antibody also cross-reacts with zebrafish embryos. When injected into fertilized Xenopus or zebrafish eggs, antiSOX3c caused a profound gastrulation defect; this defect could be rescued by the injection of RNA encoding SOX3DeltaC-EnR, a SOX3-engrailed repression domain chimera. In antiSOX3c-injected Xenopus embryos, normal animal-vegetal patterning of mesodermal and endodermal markers was disrupted, expression domains were shifted toward the animal pole, and the levels of the endodermal markers SOX17 and endodermin increased. In Xenopus, SOX3 acts as a negative regulator of Xnr5, which encodes a nodal-related TGFbeta-family protein. Two nodal-related proteins are expressed in the early zebrafish embryo, squint and cyclops; antiSOX3c-injection leads to an increase in the level of cyclops expression. In both Xenopus and zebrafish, the antiSOX3c phenotype was rescued by the injection of RNA encoding the nodal inhibitor Cerberus-short (CerS). In Xenopus, antiSOX3c's effects on endodermin expression were suppressed by injection of RNA encoding a dominant negative version of Mixer or a morpholino against SOX17alpha2, both of which act downstream of nodal signaling in the endoderm specification pathway. Based on these data, it appears that maternal B1-type SOX functions together with the VegT/beta-catenin system to regulate nodal expression and to establish the normal pattern of germ layer formation in Xenopus. A mechanistically conserved system appears to act in a similar manner in the zebrafish.

Amino Acid Sequence↗

[Etiological dissection in common anti-islet autoantibody-negative patients with type 1 diabetes].

OBJECTIVE: To explore the immunological and genetic factors of common anti-islet autoantibody-negative patients with type 1 diabetes. METHODS: Specimens of peripheral blood were collected from 33 common autoantibody (GAD-Ab, IA2-Ab, IAA, TGA and TPO-Ab) negative diabetic patients with new-onset of unprovoked ketosis (or ketoacidosis), and genome DNA was extracted. The antibodies to carboxypeptide-H (CPH) and SOX13 (ICA12) were detected by radioligand assay. The gene mutations of MODY3 (HNF-1alpha) and MODY6 (NeuroD1/Beta2) were detected by PCR-SSCP sequencing. Mitochondrial gene mutations were analyzed with PCR-RFLP. RESULTS: Two (6%) of the patients were SOX13-Ab positive, while none of them was positive for CPH-Ab. Gene mutation detection found one case of a new mutation, R321H (CGC-->CAC) in the exon 5 of HNF-1alpha gene and one case with ND1 mt3316 G-->A mutation in mitochondrial DNA. In addition to the diabetes-associated mutations described above, seven polymorphisms of HNF-1alpha gene, including L17L, I27L, L459L, S487N, IVS5 + 9 C > G, IVS6-42 G > T, and IVS7 + 7 G > A, and one NeuroD1/Beta2 gene polymorphic variant Ala45Thr, were found. CONCLUSION: Autoimmunity and gene mutations (such as MODY3 and mitochondrial genes mutations) may be etiological in a few cases initially diagnosed as autoantibody-negative type 1 diabetes. Autoimmunity and MODY and mitochondrial diabetes should be excluded if idiopathic type 1 (type 1B) diabetes is diagnosed.

Adolescent↗

A physical reference state unifies the structure-derived potential of mean force for protein folding and binding.

Extracting knowledge-based statistical potential from known structures of proteins is proved to be a simple, effective method to obtain an approximate free-energy function. However, the different compositions of amino acid residues at the core, the surface, and the binding interface of proteins prohibited the establishment of a unified statistical potential for folding and binding despite the fact that the physical basis of the interaction (water-mediated interaction between amino acids) is the same. Recently, a physical state of ideal gas, rather than a statistically averaged state, has been used as the reference state for extracting the net interaction energy between amino acid residues of monomeric proteins. Here, we find that this monomer-based potential is more accurate than an existing all-atom knowledge-based potential trained with interfacial structures of dimers in distinguishing native complex structures from docking decoys (100% success rate vs. 52% in 21 dimer/trimer decoy sets). It is also more accurate than a recently developed semiphysical empirical free-energy functional enhanced by an orientation-dependent hydrogen-bonding potential in distinguishing native state from Rosetta docking decoys (94% success rate vs. 74% in 31 antibody-antigen and other complexes based on Z score). In addition, the monomer potential achieved a 93% success rate in distinguishing true dimeric interfaces from artificial crystal interfaces. More importantly, without additional parameters, the potential provides an accurate prediction of binding free energy of protein-peptide and protein-protein complexes (a correlation coefficient of 0.87 and a root-mean-square deviation of 1.76 kcal/mol with 69 experimental data points). This work marks a significant step toward a unified knowledge-based potential that quantitatively captures the common physical principle underlying folding and binding. A Web server for academic users, established for the prediction of binding free energy and the energy evaluation of the protein-protein complexes, may be found at http://theory.med.buffalo.edu.

Antigen-Antibody Complex↗

[Knee replacement of the treatment of malignant tumor of the proximal tibia and early follow-up].

OBJECTIVE: To discuss the clinical effects of using rotating hinge prosthesis in treating primary malignant tumor of the proximal tibia. METHODS: After the malignant tumor of the proximal tibia was extensively resected or radically resected, rotating hinge prosthesis replacement was performed for reconstruction, while neoadjuvant chemotherapy was used in treating the osteosarcoma. RESULTS: The average follow-up period was 4.2 years. There was no local recurrence and metastasis in 22 patients, though there was recurrence in 8 patients. The MSTS functional scores of all different items 4 years after the operations were above 3, which showed the clinical results were satisfactory. CONCLUSIONS: It is an efficacious method for the treatment of malignant tumor of the proximal tibia by using rotating hinge prosthesis. It has the advantage of early recovery of joint function.

Adolescent↗

Synthesis of cytochrome c oxidase models bearing a Tyr244 mimic.

A close structural analogue of the metal-free cytochrome c oxidase active site has been synthesized. This model has a proximal imidazole tail and three distal imidazole pickets attached to a porphyrin. One distal imidazole is cross-linked to a phenol, mimicking Tyr(244). The strategy behind the successful synthesis of this regioisomerically pure model involved discovering the best sequence to introduce the phenol-substituted imidazole and employing a fluorinated substituent.

Electron Transport Complex IV↗

Student USMLE step 1 preparation and performance.

OBJECTIVES: Many medical students take commercial preparation courses to prepare for the USMLE Step 1. This investigation examined the relationships among Step 1 performance, preparation method, and academic achievement in medical school. METHOD: A survey was conducted on 148 junior students at a medical school in July 2000 regarding their preparation methods for Step 1. Additional data was collected on student Step 1 scores, attendance record on preparation courses, and course grades in medical school. RESULTS: One hundred students (68%) responded to the survey including 32 preparation course participants. Course participants had significantly lower Step 1 scores and second-year GPAs than those of the non-participants (p < 0.05). However, the effect of preparation method was not significant by using ANCOVA when the second-year GPA was used as a covariate (p = 0.71). CONCLUSION: Performance on Step 1 is related to academic performance in medical school and not the type of preparation methods.

Adult↗

Emerging insights into the coactivator role of NCoA62/SKIP in Vitamin D-mediated transcription.

NCoA62/SKIP was discovered as a nuclear protein that interacts with the Vitamin D receptor (VDR) and the SKI oncoprotein. NCoA62/SKIP expresses properties consistent with other nuclear receptor transcriptional coactivator proteins. For example, NCoA62/SKIP interacts selectively with the VDR-RXR heterodimer, it forms a ternary complex with liganded VDR and steroid receptor coactivator (SRC) proteins, and it synergizes with SRCs to augment 1,25-dihydroxyvitamin D(3) [1,25-(OH)(2)D(3)]- and VDR-activated transcription. Chromatin immunoprecipitation studies show that NCoA62/SKIP is recruited in a 1,25-(OH)(2)D(3)-dependent manner to native Vitamin D responsive gene promoters and it enters these promoter complexes after VDR and SRC entry. This suggests that NCoA62/SKIP functions at a distal step in the transactivation process. Recent studies indicate that NCoA62/SKIP is a component of the spliceosome machinery and interacts with important splicing factors such as prp8 and the U5 200kDa helicase. Functional studies also support an involvement of NCoA62/SKIP in mRNA splicing. Collectively, these data suggest a pivotal role for NCoA62/SKIP in coupling transcriptional regulation by VDR to RNA splicing. They further solidify an important role for VDR/NR-interactors downstream of the transcription process in determining the overall response of Vitamin D and steroid hormone regulated genes.

Animals↗

An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

Structure prediction on a genomic scale requires a simplified energy function that can efficiently sample the conformational space of polypeptide chains. A good energy function at minimum should discriminate native structures against decoys. Here, we show that a recently developed, residue-specific, all-atom knowledge-based potential (167 atomic types) based on distance-scaled, finite ideal-gas reference state (DFIRE-all-atom) can be substantially simplified to 20 residue types located at side-chain center of mass (DFIRE-SCM) without a significant change in its capability of structure discrimination. Using 96 standard multiple decoy sets, we show that there is only a small reduction (from 80% to 78%) in success rate of ranking native structures as the top 1. The success rate is higher than two previously developed, all-atom distance-dependent statistical pair potentials. Applied to structure selections of 21 docking decoys without modification, the DFIRE-SCM potential is 29% more successful in recognizing native complex structures than an all-atom statistical potential trained by a database of dimeric interfaces. The potential also achieves 92% accuracy in distinguishing true dimeric interfaces from artificial crystal interfaces. In addition, the DFIRE potential with the C(alpha) positions as the interaction centers recognizes 123 native structures out of a comprehensive 125-protein TOUCHSTONE decoy set in which each protein has 24,000 decoys with only C(alpha) positions. Furthermore, the performance by DFIRE-SCM on newly established 25 monomeric and 31 docking Rosetta-decoy sets is comparable to (or better than in the case of monomeric decoy sets) that of a recently developed, all-atom Rosetta energy function enhanced with an orientation-dependent hydrogen bonding potential.

Amino Acids↗

Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.

The conformations of loops are determined by the water-mediated interactions between amino acid residues. Energy functions that describe the interactions can be derived either from physical principles (physical-based energy function) or statistical analysis of known protein structures (knowledge-based statistical potentials). It is commonly believed that statistical potentials are appropriate for coarse-grained representation of proteins but are not as accurate as physical-based potentials when atomic resolution is required. Several recent applications of physical-based energy functions to loop selections appear to support this view. In this article, we apply a recently developed DFIRE-based statistical potential to three different loop decoy sets (RAPPER, Jacobson, and Forrest-Woolf sets). Together with a rotamer library for side-chain optimization, the performance of DFIRE-based potential in the RAPPER decoy set (385 loop targets) is comparable to that of AMBER/GBSA for short loops (two to eight residues). The DFIRE is more accurate for longer loops (9 to 12 residues). Similar trend is observed when comparing DFIRE with another physical-based OPLS/SGB-NP energy function in the large Jacobson decoy set (788 loop targets). In the Forrest-Woolf decoy set for the loops of membrane proteins, the DFIRE potential performs substantially better than the combination of the CHARMM force field with several solvation models. The results suggest that a single-term DFIRE-statistical energy function can provide an accurate loop prediction at a fraction of computing cost required for more complicate physical-based energy functions. A Web server for academic users is established for loop selection at the softwares/services section of the Web site http://theory.med.buffalo.edu/.

Membrane Proteins↗

The dependence of all-atom statistical potentials on structural training database.

An accurate statistical energy function that is suitable for the prediction of protein structures of all classes should be independent of the structural database used for energy extraction. Here, two high-resolution, low-sequence-identity structural databases of 333 alpha-proteins and 271 beta-proteins were built for examining the database dependence of three all-atom statistical energy functions. They are RAPDF (residue-specific all-atom conditional probability discriminatory function), atomic KBP (atomic knowledge-based potential), and DFIRE (statistical potential based on distance-scaled finite ideal-gas reference state). These energy functions differ in the reference states used for energy derivation. The energy functions extracted from the different structural databases are used to select native structures from multiple decoys of 64 alpha-proteins and 28 beta-proteins. The performance in native structure selections indicates that the DFIRE-based energy function is mostly independent of the structural database whereas RAPDF and KBP have a significant dependence. The construction of two additional structural databases of alpha/beta and alpha + beta-proteins further confirmed the weak dependence of DFIRE on the structural databases of various structural classes. The possible source for the difference between the three all-atom statistical energy functions is that the physical reference state of ideal gas used in the DFIRE-based energy function is least dependent on the structural database.

Algorithms↗

Mapping of multiple quantitative trait loci affecting bovine spongiform encephalopathy.

A whole-genome scan was conducted to map quantitative trait loci (QTL) for BSE resistance or susceptibility. Cows from four half-sib families were included and 173 microsatellite markers were used to construct a 2835-cM (Kosambi) linkage map covering 29 autosomes and the pseudoautosomal region of the sex chromosome. Interval mapping by linear regression was applied and extended to a multiple-QTL analysis approach that used identified QTL on other chromosomes as cofactors to increase mapping power. In the multiple-QTL analysis, two genome-wide significant QTL (BTA17 and X/Y(ps)) and four genome-wide suggestive QTL (BTA1, 6, 13, and 19) were revealed. The QTL identified here using linkage analysis do not overlap with regions previously identified using TDT analysis. One factor that may explain the disparity between the results is that a more extensive data set was used in the present study. Furthermore, methodological differences between TDT and linkage analyses may affect the power of these approaches.

Animals↗

[Subclassification of seronegative type 1 diabetic subjects with HLA-DQ genotypes].

OBJECTIVE: To reveal the relationship between disease phenotype and HLA-DQ genotype in autoantibody-negative type 1 diabetics and to explore whether HLA-DQ genotypes can reclassify seronegative type 1 diabetic patients. METHODS: Sixty-one diabetics with unprovoked ketosis or ketoacidosis at presentation were tested for glutamic acid decarboxylase antibody (GAD-Ab), tyrosine phosphatase antibody (IA2-Ab), thyroglobulin antibody (TGA), thyroid peroxidase antibody (TPO-Ab) and HLA-DQ genotype. GAD-Ab and IA2-Ab were measured with radioligand assay. TGA and TPO-Ab were evaluated using RIA. Sequence-based genotyping (SBT) was used to determine the alleles of HLA-DQA1 and DQB1. Autoantibody negative patients were subdivided into group A (with type 1 diabetes susceptible alleles) and group B (without type 1 diabetes susceptible alleles). Clinical characteristics, including age, sex, mode of presentation, body mass index (BMI), islet beta-cell function and current treatment were compared between the autoantibody-positive and autoantibody-negative patients and between group A and B. RESULTS: Among the 61 patients, 29 (47.5%) were negative for all the antibodies tested, while 31 (50.8%) were positive for one or more antibodies tested. 5 (8.2%) were positive for all those 4 antibodies. As for genetic analysis, 18 of the 29 seronegative patients carried 1-4 HLA-DQ risk alleles, while the other 11 did not carry any type 1 diabetes susceptible alleles tested. As compared with the autoantibody-negative patients, younger age at onset, less obesity, severer degree of diabetic ketoacidosis (DKA) and lower C peptide were found in the autoantibody-positive ones. As compared with group B, less obesity [BMI: (22.4 +/- 4.4) kg/m(2) vs (25.8 +/- 3.7) kg/m(2), P = 0.03], severer degree of DKA [CO(2)CP: (16.3 +/- 7.1) mmol/L vs (19.2 +/- 2.0) mmol/L, P = 0.01; pH: 7.26 +/- 0.20 vs 7.34 +/- 0.06, P = 0.03], and lower C peptide [fasting C peptide: (254.6 +/- 189.4) pmol/L vs (458.7 +/- 274.1) pmol/L, P = 0.06] were observed in group A. During follow-up, 73% (8/11) patients in group B discontinued insulin therapy and maintained acceptable glycemic control by either diet or oral hypoglycemic agents (OHA), while only 28% (5/18) of the patients in group A discontinued and maintained control with OHA (28% vs 73%, P < 0.01). Among those who kept on using insulin, group A patients required higher insulin dosage than those of group B [(0.43 +/- 0.16) U x kg(-1) x d(-1) vs (0.24 +/- 0.18) U x kg(-1) x d(-1), P = 0.07]. CONCLUSIONS: Autoantibody-negative diabetics, if with susceptible HLA-DQ genotypes, presented more type 1A-like features, implying possible existence of as yet unidentified immunologic abnormalities in these patients. HLA-DQ risk genotypes may reclassify seronegative type 1 diabetics. Those who are autoantibody negative but carry susceptible HLA-DQ genotypes, should not be diagnosed as type 1B diabetes.

Adolescent↗

The beta-catenin/VegT-regulated early zygotic gene Xnr5 is a direct target of SOX3 regulation.

In Xenopus laevis, beta-catenin-mediated dorsal axis formation can be suppressed by overexpression of the HMG-box transcription factor XSOX3. Mutational analysis indicates that this effect is due not to the binding of XSOX3 to beta-catenin nor to its competition with beta-catenin-regulated TCF-type transcription factors for specific DNA binding sites, but rather to SOX3 binding to sites within the promoter of the early VegT- and beta-catenin-regulated dorsal-mesoderm-inducing gene Xnr5. Although B1-type SOX proteins, such as XSOX3, are commonly thought to act as transcriptional activators, XSOX3 acts as a transcriptional repressor of Xnr5 in both the intact embryo and animal caps injected with VegT RNA. Expression of a chimeric polypeptide composed of XSOX3 and a VP16 transcriptional activation domain or morpholino-induced decrease in endogenous XSOX3 polypeptide levels lead to an increase in Xnr5 expression, as does injection of an anti-XSOX3 antibody that inhibits XSOX3 DNA binding. These observations indicate that maternal XSOX3 acts in a novel manner to restrict Xnr5 expression to the vegetal hemisphere.

Amino Acid Sequence↗

Nuclear coactivator-62 kDa/Ski-interacting protein is a nuclear matrix-associated coactivator that may couple vitamin D receptor-mediated transcription and RNA splicing.

Nuclear coactivator-62 kDa/Ski-interacting protein (NCoA62/SKIP) is a putative vitamin D receptor (VDR) and nuclear receptor coactivator protein that is unrelated to other VDR coactivators such as those in the steroid receptor coactivator (SRC) family. The mechanism through which NCoA62/SKIP functions in VDR-activated transcription is unknown. In the present study, we identified a nuclear localization sequence in the COOH terminus of NCoA62/SKIP and showed that NCoA62/SKIP was targeted to nuclear matrix subdomains. Chromatin immunoprecipitation studies revealed that endogenous NCoA62/SKIP associated in a 1,25-dihydroxyvitamin D3-dependent manner with VDR target genes in ROS17/2.8 osteosarcoma cells. A cyclic pattern of promoter occupancy by VDR, SRC-1, and NCoA62/SKIP was observed, with NCoA62/SKIP entering these promoter complexes after SRC-1. These studies provide strong support for the proposed role of NCoA62/SKIP as a VDR transcriptional coactivator, and they indicate that key mechanistic differences probably exist between NCoA62/SKIP and SRC coactivators. To explore potential mechanisms, NCoA62/SKIP-interacting proteins were purified from HeLa cell nuclear extracts and identified by mass spectrometry. The identified proteins represent components of the spliceosome as well as other nuclear matrix-associated proteins. Here, we show that a dominant negative inhibitor of NCoA62/SKIP (dnNCoA62/SKIP) interfered with appropriate splicing of transcripts derived from 1,25-dihydroxyvitamin D3-induced expression of a growth hormone minigene cassette. Taken together, these data show that NCoA62/SKIP has properties that are consistent with those of nuclear receptor coactivators and with RNA spliceosome components, thus suggesting a potential role for NCoA62/SKIP in coupling VDR-mediated transcription to RNA splicing.

Animals↗