Objective To study the effects of hypothermia therapy on inflammation level and safety of patients with severe nervous injury.Methods A total of 82 patients with severe nerve injury were divided into study group and control group by random digits table, 41 patients in each group.The patients in these two groups had no statistical dis-parities in inflammatory agent and intracranial pressure (p>0.05).The patients in the control group were treated by routine therapy and those in the study group were treated by cephalic hypothermia therapy additionally.The two groups were compared in terms of the level of TNFα, IL-6 and IL-8 in the cerebrospinal fluid, prognosis and safety.Re-sults Before treatment there was no significant difference in inflammation level between the two groups (p>0.05). After treatment, the TNFα, IL-6 and IL-8 levels in the study group were significantly lower than those in control group (p<0.01).Before treatment there was no significant difference in ICP between two groups (p>0.05).How-ever, after treatment there was a significant difference in ICP between the two groups in all time points (p<0.01). The GOS score in the study group was significantly lower than that in the control group.There was no statistical dis-parities in complications between the two groups (p>0.0).Conclusion The hypothermia therapy has a great clini-cal efficacy and safety on severe never injury patients, which makes it worth clinical application.

No abstract available.
Anti-N-Methyl-D-Aspartate Receptor Encephalitis ; Eye Diseases ; Humans ; Thyroid Gland

OBJECTIVETo select and identify ssDNA aptamers specific to Streptococcus mutans strains with different cariogenicity isolated from clinical specimens.

METHODSSubtractive SELEX technology targeting the whole intact cells was used to screen for ssDNA aptamers specific to the clinical isolates Streptococcus mutans strains with different cariogenicity. Radioactive isotope, flow cytometry, gene cloning and sequencing, MEME online software and RNA structure analysis software were employed to analyze the first and secondary structures of the aptamers and identify the screened aptamers.

RESULTSDetection by radioactive isotope showed sufficient pool enrichment after 9 rounds of subtractive SELEX. Flow cytometry showed that the selected aptamers H1, H16, H4, L1, L10 and H19 were capable of binding specifically with highly cariogenic Streptococcus mutans strains but not with strains with a low cariogenicity. The aptamer H19 had the strongest binding capacity to highly cariogenic Streptococcus mutans strains, with a dissociation constant of 69.45∓38.53 nmol/L.

CONCLUSIONWe have obtained the ssDNA aptamers specific to the clinical isolates of highly cariogenic Streptococcus mutans strains.

Aptamers, Nucleotide ; genetics ; Cloning, Molecular ; DNA Primers ; Dental Caries ; microbiology ; Gene Library ; Humans ; Nucleic Acid Conformation ; SELEX Aptamer Technique ; Species Specificity ; Streptococcus mutans ; classification ; genetics ; isolation & purification

OBJECTIVETo screen of high cariogenicity Streptococcus mutans (S. mutans) strains isolated from clinical specimens preliminary.

METHODSAcidogenicity, aciduricity, extracellular polysaccharide production and adhesion of 41 strains of S. mutans isolated from clinical specimens were investigated to screen high cariogenicity S. mutans strains.

RESULTSThere were different cariogenicity among 41 strains of S. mutans, in which 3 strains of S. mutans had all high ability to produce extracellular polysaccharide, adhere to the saliva-coated hydroxyapatite, produce acid and tolerate acid, indicated there were 3 strains with high cariogenicity S. mutans strains isolated from clinical specimens. Another 3 strains of S. mutans with all low ability to produce extracellular polysaccharide, adhere to the saliva-coated hydroxyapatite, produce acid and tolerate acid indicated they were low cariogenicity S. mutans strains isolated from clinical specimens.

CONCLUSIONWe may have obtained high cariogenicity S. mutans strains isolated from clinical specimens.

Dental Caries ; Durapatite ; Humans ; Saliva ; Streptococcus mutans

OBJECTIVETo identify Streptococcus mutans (S. mutans) strains from clinical samples.

METHODSPlaque samples from caries-active and caries-free sites on enamel surfaces were obtained and cultivated for S. mutans isolation. Morphology, biochemistry, automatic microorganism analysis system and polymerase chain reaction using primers homologous to surface protein antigen I/II (spaP), glucosyltransferase B (gtfB) and dextranase (dexA) were used to identify S. mutans. Genotype of isolated S. mutans was determined by arbitrarily primed polymerase chain reaction.

RESULTSForty-six strains of S. mutans were obtained from the 32 subjects and were identified as S. mutans by biochemistry, automatic microorganism analysis system and polymerase chain reaction. Five identical genotypes were found by arbitrarily primed polymerase chain reaction.

CONCLUSIONForty-one strains of S. mutans with different genotype were obtained from clinical samples.

Dental Caries ; Dental Plaque ; Genotype ; Glucosyltransferases ; Humans ; Polymerase Chain Reaction ; Streptococcus mutans

Purpose: The objective of this study was to propose a deep-learning model for the detection of the mandibular canal on dental panoramic radiographs. Materials and Methods: A total of 2,100 panoramic radiographs (PANs) were collected from 3 different machines: RAYSCAN Alpha (n=700, PAN A), OP-100 (n=700, PAN B), and CS8100 (n=700, PAN C). Initially, an oral and maxillofacial radiologist coarsely annotated the mandibular canals. For deep learning analysis, convolutional neural networks (CNNs) utilizing U-Net architecture were employed for automated canal segmentation. Seven independent networks were trained using training sets representing all possible combinations of the 3 groups. These networks were then assessed using a hold-out test dataset. Results: Among the 7 networks evaluated, the network trained with all 3 available groups achieved an average precision of 90.6%, a recall of 87.4%, and a Dice similarity coefficient (DSC) of 88.9%. The 3 networks trained using each of the 3 possible 2-group combinations also demonstrated reliable performance for mandibular canal segmentation, as follows: 1) PAN A and B exhibited a mean DSC of 87.9%, 2) PAN A and C displayed a mean DSC of 87.8%, and 3) PAN B and C demonstrated a mean DSC of 88.4%. Conclusion This multi-device study indicated that the examined CNN-based deep learning approach can achieve excellent canal segmentation performance, with a DSC exceeding 88%. Furthermore, the study highlighted the importance of considering the characteristics of panoramic radiographs when developing a robust deep-learning network, rather than depending solely on the size of the dataset.

Sucrose is a natural product occurs widely in nature. In living organisms such as plants, sucrose phosphate synthase (SPS) is the key rate-limiting enzyme for sucrose synthesis. SPS catalyzes the synthesis of sucrose-6-phosphate, which is further hydrolyzed by sucrose phosphatase to form sucrose. Researches on SPS in recent decades have been focused on the determination of enzymatic activity of SPS, the identification of the inhibitors and activators of SPS, the covalent modification of SPS, the carbohydrate distribution in plants regulated by SPS, the mechanism for promoting plant growth by SPS, the sweetness of fruit controlled by SPS, and many others. A systematic review of these aspects as well as the crystal structure and catalytic mechanism of SPS are presented.
Carbohydrate Metabolism ; Glucosyltransferases/metabolism* ; Plants/metabolism* ; Sucrose