Early predictors of brain injury in patients with acute carbon monoxide poisoning and the neuroprotection of mild hypothermia.

INTRODUCTION: Carbon monoxide (CO) poisoning can cause serious neurological sequelae. However, there is neither effective treatment strategy nor reliable indicators to determine the prognosis of patients with CO poisoning. The present study aimed to observe the changes of neurological function score, disease severity score, cerebral oxygen utilization (O2UCc), bispectral (BIS) index and neuron-specific enolase (NSE) concentration, and to elucidate the clinical significance of these potential indicators and the neuroprotective effect of mild hypothermia on brain injury in patients with severe acute CO poisoning. MATERIALS AND METHODS: A total of 277 patients with acute severe CO poisoning from 2013 to 2018 were enrolled in our hospital. Patients were divided into three groups according to their body temperature on the day of admission and their willingness to treat: a fever group (n = 78), a normal temperature group (NT group, n = 113), and a mild hypothermia group (MH group, n = 86). All patients were given hyperbaric oxygen therapy, while those in the MH group received additional mild hypothermia treatment. The severity of the disease, the neurobehavioral status, the incidence of delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), and other indicators including BIS, O2UCc, NSE were further evaluated in all patients at given time-points. RESULTS: Mild hypothermia therapy improved the prognosis of patients with CO poisoning, significantly decreased the value of O2UCc and NSE, and up-regulated BIS. The incidence of DEACMP at 6 months was 27% in the fever group, 23% in the NT group, and 8% in the MH group. The values of Glasgow-Pittsburgh coma scale (G-P score), BIS index and NSE were closely related to the occurrence of DEACMP, the cutoff values were 12.41, 52.17 and 35.20 ng/mL, and the sensitivity and specificity were 79.3%, 77.6%, 79.3% and 67.6%, 89.5%, 88.6% in the receiver operating characteristic curve (ROC), respectively. CONCLUSIONS: Early mild hypothermia treatment could significantly reduce the severity of brain injury after CO poisoning, and might be further popularized in clinic. G-P scores, NSE and BIS index can be regarded as the prediction indicators in the occurrence and development of DEACMP. CLINICAL TRIAL REGISTRATION: The study protocol was granted from Qingdao University Research Ethics Committee (Clinical trial registry and ethical approval number: QD81571283).

Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences.

Microbes play an important role on human health, however, little is known on microbes in the past decades for the limitation of culture-based techniques. Recently, with the development of next-generation sequencing (NGS) technologies, it is now possible to sequence millions of sequences directly from environments samples, and thus it supplies us a sight to probe the hidden world of microbial communities and detect the associations between microbes and diseases. In the present work, we proposed a supervised learning-based method to mine the relationship between microbes and periodontitis with 16S rRNA sequences. The jackknife accuracy is 94.83% and it indicated the method can effectively predict disease status. These findings not only expand our understanding of the association between microbes and diseases but also provide a potential approach for disease diagnosis and forensics.

[Quantitative evaluation of the degrees of traditional Chinese medicine qualitative syndromes of osteoporosis].

OBJECTIVE: To establish a quantitative estimate model for diagnosing traditional Chinese medicine (TCM) syndromes of patients with osteoporosis. METHODS: Symptoms and signs of osteoporosis and methodology related to syndrome research were collected by reviewing medical literature. The symptoms and sighs were quantitatively classified into three, two or one category according to a 100-mm visual analog scale. Fuzzy comprehensive evaluation model of TCM qualitative syndromes was performed based on analytic hierarchy process. Then "Hall for Workshop of Metasynthetic Engineering" expert symposium was held on subjects of syndrome quantification method and weight of evaluation indices in different levels for developing the analysis model of common syndromes. For clinical verification, the created models were applied to patients with osteoporosis for discriminating syndromes. Syndrome of each patient was also identified by 8 experts major in integrative medicine treating osteoporosis for comparing the coincidence rate using a self-made clinical questionnaire. RESULTS: Through literature reviewing, symptoms and signs quantification and expert discussing, the authors formed estimate models of essence deficit, qi deficiency, yin deficiency, yang deficiency, and blood stasis. A total of 220 patients with osteoporosis were enrolled and filled the clinical questionnaire. All 8 experts completed and returned the questionnaire (1 760 cases), and 1 545 of them were filled in completely. Experts' opinion on syndrome differentiation was exactly coincidence to estimate model in 611 cases and almost coincidence in 639 cases. The total coincidence rate reached to 94.05%. CONCLUSION: The estimate model for syndrome differentiation of osteoporosis has a high-coincidence rate with the fuzzy evaluation from experts, with good rationality and feasibility, and is worthy of promotion in the clinical study.

[A study of diagnostic criteria for traditional Chinese medicine syndromes in osteoporosis].

OBJECTIVE: To establish diagnostic criteria for common traditional Chinese medicine (TCM) syndromes in osteoporosis. METHODS: Based on the collection and analysis of related medical literature, clinical investigation, and expert discussion, a draft of preliminary diagnostic criteria for the basic syndromes of TCM in patients with osteoporosis was formulated. Then it was used in clinic for verification and revised repeatedly until a formal version of diagnostic criteria was satisfactorily achieved. RESULTS: The basic syndromes listed in the diagnostic criteria for patients with osteoporosis consisted of two parts: qualitative diagnosis and localization diagnosis. Results of qualitative diagnosis showed that the qualitative syndromes included damage of essence, deficiency of vital energy, deficiency of yin, deficiency of yang and blood stasis. The localization diagnosis showed that location of osteoporosis is bone and corresponds to the kidney, and also involves liver, lung, spleen (stomach) and heart. The diagnostic content has established the specific symptoms and the non-specific symptoms during various stages. Each of the above syndromes could be diagnosed according to a specific combination of its corresponding symptoms or signs. The clinical verification results showed that the total matching ratio of qualitative diagnosis was 80.56% between the diagnoses made according to the criteria and the diagnoses acquired from the experts' experience, and the total matching ratio of localization diagnosis was 85.56%. CONCLUSION: The TCM syndrome diagnostic criteria for osteoporosis is generally consistent with TCM clinical practice, worthy of further popularization and application in clinical practice.

Identification of protein-RNA interaction sites using the information of spatial adjacent residues.

BACKGROUND: Protein-RNA interactions play an important role in numbers of fundamental cellular processes such as RNA splicing, transport and translation, protein synthesis and certain RNA-mediated enzymatic processes. The more knowledge of Protein-RNA recognition can not only help to understand the regulatory mechanism, the site-directed mutagenesis and regulation of RNA-protein complexes in biological systems, but also have a vitally effecting for rational drug design. RESULTS: Based on the information of spatial adjacent residues, novel feature extraction methods were proposed to predict protein-RNA interaction sites with SVM-KNN classifier. The total accuracies of spatial adjacent residue profile feature and spatial adjacent residues weighted accessibility solvent area feature are 78%, 67.07% respectively in 5-fold cross-validation test, which are 1.4%, 3.79% higher than that of sequence neighbour residue profile feature and sequence neighbour residue accessibility solvent area feature. CONCLUSIONS: The results indicate that the performance of feature extraction method using the spatial adjacent information is superior to the sequence neighbour information approach. The performance of SVM-KNN classifier is little better than that of SVM. The feature extraction method of spatial adjacent information with SVM-KNN is very effective for identifying protein-RNA interaction sites and may at least play a complimentary role to the existing methods.

[Model and analysis of spectropolarimetric BRDF of painted target based on GA-LM method].

Models based on microfacet were used to describe spectropolarimetric BRDF (short for bidirectional reflectance distribution function) with experimental data. And the spectropolarimetric BRDF values of targets were measured with the comparison to the standard whiteboard, which was considered as Lambert and had a uniform reflectance rate up to 98% at arbitrary angle of view. And then the relationships between measured spectropolarimetric BRDF values and the angles of view, as well as wavelengths which were in a range of 400-720 nm were analyzed in details. The initial value needed to be input to the LM optimization method was difficult to get and greatly impacted the results. Therefore, optimization approach which combines genetic algorithm and Levenberg-Marquardt (LM) was utilized aiming to retrieve parameters of nonlinear models, and the initial values were obtained using GA approach. Simulated experiments were used to test the efficiency of the adopted optimization method. And the simulated experiment ensures the optimization method to have a good performance and be able to retrieve the parameters of nonlinear model efficiently. The correctness of the models was validated by real outdoor sampled data. The parameters of DoP model retrieved are the refraction index of measured targets. The refraction index of the same color painted target but with different materials was also obtained. Conclusion has been drawn that the refraction index from these two targets are very near and this slight difference could be understood by the difference in the conditions of paint targets' surface, not the material of the targets.