Assessment and correlation between functional and histological staging of oral submucous fibrosis: A clinicohistopathologic study

Background and Objective

Oral submucous fibrosis (OSMF) is a precancerous condition. It is widespread in the Asian subcontinent, with India bearing most of the burden. It is characterized by mucosal rigidity of varying intensity due to the fibroelastic changes of the juxta epithelial layer, resulting in a progressive inability to open the mouth. Early recognition with accurate staging of the disease and appropriate treatment planning is of utmost importance to prevent the malignant transformation and to improve the quality of life of the patient. In the present study, an attempt is made to clinically evaluate the condition and correlate it with the histopathological findings according to standard criteria.

Materials and Methods

A hospital-based study was conducted on sixty OSMF patients. Detailed history was recorded, and functional staging was given depending on mouth opening. Punch biopsy was performed, and histological stages were given based on standard criteria. The data so received were mathematically evaluated to determine whether any correlation exists between the stages using Chi-square test.

Results

The sixty patients were in the age range of 16-50 years. Male-to-female ratio was that of 97:3. The statistical analysis using Chi-square test showed statistically significant association (P < 0.001) between the functional and histologic stages.

Conclusion

There is a definite correlation between functional and histological stages of OSMF which suggests that clinically advanced OSMF has extensive fibrosis histologically.

Enhanced antifungal and insect α-amylase inhibitory activities of Alpha-TvD1, a peptide variant of Tephrosia villosa defensin (TvD1) generated through in vitro mutagenesis

TvD1 is a small, cationic, and highly stable defensin from the weedy legume, Tephrosia villosa with demonstrated in vitro antifungal activity. We show here peptide modifications in TvD1 that lead to enhanced antifungal activities. Three peptide variants, S32R, D37R, and Alpha-TvD1 (-G-M-T-R-T-) with variations in and around the β2-β3 loop region that imposes the two β-strands, β2 and β3 were generated through in vitro mutagenesis. Alpha-TvD1 exhibited enhanced antifungal activity against the fungal pathogens, Fusarium culmorum and Fusarium oxysporum with respective IC(50) values of 2.5 μM and 3.0 μM, when compared to S32R (<5.0 μM and >5.0 μM), D37R (5.5 μM and 4.5 μM), and the wild type TvD1 (6.5 μM). Because of the enhanced antifungal activity, this variant peptide was characterized further. Growth of F. culmorum in the presence of Alpha-TvD1 showed deformities in hyphal walls and nuclear damage. With respect to the plant pathogenic bacterium, Pseudomonas syringae pv. tomato strain DC3000, both Alpha-TvD1 and the wild type TvD1 showed comparable antibacterial activity. Both wild type TvD1 and Alpha-TvD1 displayed inhibitory activity against the α-amylase of the mealworm beetle, Tenebrio molitor (TMA) with the latter showing enhanced activity. The human salivary as well as barley α-amylase activities were not inhibited even at concentrations of up to 50 μM, which has been predicted to be due to differences in the pocket size and the size of the interacting loops. Present study shows that the variant Alpha-TvD1 exhibits enhanced antifungal as well as insect α-amylase inhibitory activity.

Identification and analysis of novel tandem repeats in the cell surface proteins of archaeal and bacterial genomes using computational tools

We have identified four novel repeats and two domains in cell surface proteins encoded by the Methanosarcina acetivorans genome and in some archaeal and bacterial genomes. The repeats correspond to a certain number of amino acid residues present in tandem in a protein sequence and each repeat is characterized by conserved sequence motifs. These correspond to: (a) a 42 amino acid (aa) residue RIVW repeat; (b) a 45 aa residue LGxL repeat; (c) a 42 aa residue LVIVD repeat; and (d) a 54 aa residue LGFP repeat. The domains correspond to a certain number of aa residues in a protein sequence that do not comprise internal repeats. These correspond to: (a) a 200 aa residue DNRLRE domain; and (b) a 70 aa residue PEGA domain. We discuss the occurrence of these repeats and domains in the different proteins and genomes analysed in this work.

Identification and analysis of novel amino-acid sequence repeats in Bacillus anthracis str. Ames proteome using computational tools

We have identified four repeats and ten domains that are novel in proteins encoded by the Bacillus anthracis str. Ames proteome using automated in silico methods. A “repeat” corresponds to a region comprising less than 55-amino-acid residues that occur more than once in the protein sequence and sometimes present in tandem. A “domain” corresponds to a conserved region with greater than 55-amino-acid residues and may be present as single or multiple copies in the protein sequence. These correspond to (1) 57-amino-acid-residue PxV domain, (2) 122-amino-acid-residue FxF domain, (3) 111-amino-acid-residue YEFF domain, (4) 109-amino-acid-residue IMxxH domain, (5) 103-amino-acid-residue VxxT domain, (6) 84-amino-acid-residue ExW domain, (7) 104-amino-acid-residue NTGFIG domain, (8) 36-amino-acid-residue NxGK repeat, (9) 95-amino-acid-residue VYV domain, (10) 75-amino-acid-residue KEWE domain, (11) 59-amino-acid-residue AFL domain, (12) 53-amino-acid-residue RIDVK repeat, (13) (a) 41-amino-acid-residue AGQF repeat and (b) 42-amino-acid-residue GSAL repeat. A repeat or domain type is characterized by specific conserved sequence motifs. We discuss the presence of these repeats and domains in proteins from other genomes and their probable secondary structure.

Combinations of turns in proteins

We observed that beta- and gamma-turns in protein structure may be associated as peptides representing combinations of turns that span between nine and 26 amino acid residues along the polypeptide backbone chain and often correspond to loops in the protein structure. Around 475 peptides resulted from the analysis of a non-redundant data set corresponding to 248 protein crystal structures selected from the Protein Data Bank. Nearly 40% protein chains are associated with two or more peptides and the peptides with nine and 10 amino acid residues are more frequent. A maximum of four distinct peptides varying in number of amino acid residues were observed in at least 10 proteins along the same protein chain. Nearly 80% peptides comprise type IV beta-turns that are associated with irregular dihedral angle values suggesting this may be important for the conformational diversity associated with the loops in proteins. In general, predominant interactions that possibly stabilize these peptides involve main-chain and side-chain interactions with solvent, in addition to hydrogen bond, salt-bridge and non-bonded interactions. Majority of the peptides were observed in hydrolase, oxidoreductase, transferase, serine proteinase/inhibitor complex, electron transport/electron transfer and lyase proteins.

Prediction of gamma-turns from amino acid sequences

We predicted gamma-turns from amino acid sequences using the first-order Markov chain theory and enlarged representative data sets corresponding to protein chains selected from the Protein Data Bank (PDB). The following data sets were used for training and deriving the probability values: (1) an initial data set containing 315 protein chains comprising 904 gamma-turns and (2) a later data set in order to include new entries in the PDB, containing 434 protein chains and comprising 1053 gamma-turns. By excluding 93 protein chains that were common to these two training data sets, we generated two mutually exclusive data sets containing 222 and 341 protein chains for testing our predictions. Applying amino acid probability values derived from training data sets on to testing data sets yielded overall prediction accuracies in the range 54-57%. We recommend the use of probability values derived from the data set comprising 315 protein chains that represents more gamma-turns and also provides better predictions.

The crystal structure of the N-terminal SH3 domain of Grb2

The 3-D structure of the N-terminal SH3 domain of the regulatory protein Grb2 has been determined by X-ray analysis at 2.8 A resolution and refined to a crystallographic R factor of 21.5%. The structure, which is very similar to those of other SH3 domains, consists of two orthogonal, antiparallel up-down beta-sheets, with three variable loops and a 3(10) helix. Docking of the proline-rich peptide, 3BP1 on Grb2-N SH3, shows that the polyproline type II helix can bind the SH3 domain forming conserved hydrogen bonds between the main-chain carbonyl oxygens of Met4 and Pro7 of the proline-rich peptide and the reoriented side-chains of Trp36 and Asn51, respectively, and a hydrogen bond between the main-chain carbonyl of Leu8 of the proline rich peptide with the side-chain OH of Tyr52 of the Grb2-N SH3. The peptide side-chain binding occurs on the surface of SH3 domain at three major sites involving the side-chains of the residues in the hydrophobic patch (Tyr7, Phe9, Trp36, Phe47, Pro49 and Tyr52) and the RT-Src and n-Src loops of the SH3 domain. The proline-rich peptides could bind the Grb2-N SH3 in either orientation and maintain the key hydrogen bonds because of the pseudo-symmetry of the polyproline type II helix. However, for the mSos1 peptide a salt bridge can be formed between the arginine of the proline-rich peptide and the protein at Asp15, Glu16 and Glu31 only in one direction; this orientation seems to be strongly preferred. The conservatively varied RGD sequence motif (sometimes KGE or KGD) in SH3 domains might be involved in interactions at the cell membrane.

Crystal structure of the pleckstrin homology domain from dynamin

The pleckstrin homology (PH) domain is a conserved module present in many signal transducing and cytoskeletal proteins. Here we report the 2.8 A crystal structure of the PH domain from dynamin. This domain consists of seven beta-strands forming two roughly orthogonal antiparallel beta-sheets terminating with an amphipathic alpha-helix. The structure also reveals a non-covalent dimeric association of the PH domain and a hydrophobic pocket surrounded by a charged rim. The dynamin PH domain structure is discussed in relation to its potential role in mediating interactions between proteins.