Abstract Comprehensive protein-protein interaction (PPI) maps are critical for understanding the functional organization of the proteome, but challenging to produce experimentally. Here, we developed a computational method for predicting PPIs based on protein docking. Evaluation of performance on benchmark sets demonstrated the ability of the docking-based method to accurately identify PPIs using predicted protein structures. By employing the docking-based method, we constructed a structurally resolved PPI network consisting of 24,653 interactions between 2,131 proteins, which greatly extends the current knowledge on the rice protein-protein interactome. Moreover, we mapped the trait-associated single nucleotide polymorphisms (SNPs) to the structural interactome, and computationally identified 14 SNPs that had significant consequences on PPI network. The protein structural interactome map provided a resource to facilitate functional investigation of PPI-perturbing alleles associated with agronomically important traits in rice. proteinprotein (PPI proteome experimentally Here docking dockingbased structures 24653 24 653 24,65 2131 2 131 2,13 proteins Moreover traitassociated trait (SNPs 1 PPIperturbing perturbing 2465 65 24,6 213 13 2,1 246 6 24, 21 2,

Abstract Objectives: To screen the COL1A1 and COL1A2 gene mutation sites in a family with type I osteogenesis imperfecta (OI)/hearing loss and analyze the characteristics and recovery of hearing loss in patients with osteogenesis imperfecta. Methods: The basic clinical data of Ol proband and her parents were collected, and the COL1A1 and COL1A2 genes were detected in peripheral blood by PCR amplification and generation Sanger sequencing. Literature of stapedial surgery in patients with osteogenesis imperfecta was collected. Results: The heterozygous mutation of the 26 exon c.1922_1923 ins C in the Ol progenitor COL1A1 gene led to the amino acid frameshift mutation of p.Pro 601FS, which was not detected in the phenotypic parents. The homozygous of exon 28 c.1782>G in COL1A2 was detected in the proband and her parents, resulting in changes in the protein p.Pro 549Ala. Conclusion: The clinical symptoms of the Ol proband is caused by heterozygous mutation of the 26 exon c.1922_1923 ins C in COL1A1 gene. Stapedial surgery can provide short-term and long-term hearing benefits for Ol patients with hearing loss. Level of evidence: Level 4. Objectives COLA COL A COL1A OI/hearing OIhearing OI /hearing Methods collected sequencing Results 2 c19221923 c 1922 1923 c.1922_192 pPro p Pro 601FS FS c1782G cG 1782 G 549Ala Ala Conclusion shortterm short term longterm long evidence 4 c1922192 192 c.1922_19 178 c192219 19 c.1922_1 17 c19221 1 c.1922_ c1922 c.1922 c192 c.192 c19 c.19 c1 c.1 c.

Abstract Background: Studies have shown that the overall incidence rate of herpeszoster (HZ) in China is 6.64 cases per 1000 people, despite such harms brought by postherpetic neuralgia (PHN), the mechanism of the disease remains unclear in China. Currently, effective biomarkers to predict PHN remain unavailable, which makes it difficult to prevent and successfully treat PHN. Objectives: The aim of the study was to determine the serum interleukin-6 level in PHN. Methods: The serum levels of interleukin 6 (IL-6) were measured by multi-antibody sandwich ELISA. The likert scale was used to represent the degree of neuralgia in the patients. Patients with PHN were divided into a mild PHN group and a severe PHN group according to the Likert scale. ROC curve was performed for evaluating the diagnostic efficiency of IL6 for PHN. The correlation between the IL6 level and the Likert scale before and after treatment with gabapentin and mecobalamin was analyzed. Results: IL6 levels in PHN patients resulted higher compared to volunteers. Patients in the severe PHN group had a higher serum IL6 level than in the mild PHN group. The Likert scale score was related to the serum IL6 levels and the frequency of IL6 levels above the cutoff value (4.95pg/mL) in PNH groups before and after treatment (p<0.05). Study limitations: Pain is subjective. Some mental states, such as anxiety and depression, greatly influence an individual’s perception of pain, and pain tolerance can vary between people. Therefore, pain scores can be affected by different individual factors. Conclusions: The serum IL6 levels may be used as a biochemical indicator of the severity of PNH. Background HZ (HZ 664 64 6.6 100 people PHN, , (PHN) Currently unavailable Objectives interleukin6 interleukin- Methods IL (IL-6 multiantibody multi antibody ELISA analyzed Results volunteers 4.95pg/mL 495pgmL pgmL 4 95pg mL pg (4.95pg/mL p<0.05. p005 p p<0.05 . 0 05 (p<0.05) limitations subjective states depression individuals s Therefore factors Conclusions 66 6. 10 (PHN (IL- p00 p<0.0 (p<0.05 1 (IL p0 p<0. (p<0.0 p<0 (p<0. p< (p<0 (p< (p

RESUMEN La contaminación por neblina, caracterizada principalmente por la baja visibilidad, es uno de los principales problemas ambientales a los que se enfrenta China en la actualidad. El pronóstico exacto de la neblina es útil para la aplicación de medidas preventivas orientadas a controlar emisiones de contaminantes atmosféricos y aliviar la contaminación por neblina. Sin embargo, no es fácil predecir con precisión los acontecimientos de baja visibilidad causados por neblina, lo cual requiere no sólo un pronóstico riguroso de los factores meteorológicos, sino también una actualización detallada y en tiempo real de los inventarios de emisiones de las fuentes. Con el fin de obtener una herramienta de predicción fiable, se estudian varios métodos populares de aprendizaje automático, como la máquina vectorial de apoyo (SVM, por su sigla en inglés), el k-vecino más próximo, el bosque aleatorio y varios métodos de aprendizaje profundo. A partir de los principales factores que influyen en la visibilidad, se analizan las relaciones entre velocidad y dirección del viento, temperatura, humedad y visibilidad. El método de aprendizaje automático se utiliza para entrenamiento y pronóstico. La precisión de estos métodos para pronosticar la visibilidad se verifica mediante varios parámetros (error de raíz cuadrada media, error absoluto medio y error porcentual absoluto medio). Los resultados muestran que: 1) entre todos los parámetros meteorológicos, la velocidad del viento puede reflejar mejor la variación de la visibilidad; 2) el rendimiento de las redes neuronales recurrentes de memoria a largo-corto plazo (LSTM RNN) y el método de unidades recurrentes cerradas (GRU) en la predicción de visibilidad a corto plazo (es decir, 1, 3 y 6 h) es casi igual; 3) el método clásico de aprendizaje automático (SVM) funciona bien para el pronóstico de visibilidad a medio y largo plazo, y 4) el método de aprendizaje automático también tiene cierto grado de precisión en el pronóstico, incluso en un periodo de tiempo más largo (p. ej., 72 h).

ABSTRACT Haze pollution, mainly characterized by low visibility, is one of the main environmental problems currently faced by China. Accurate haze forecasts facilitate the implementation of preventive measures to control the emission of air pollutants and thereby mitigate haze pollution. However, it is not easy to accurately predict low visibility events induced by haze, which requires not only accurate prediction for weather elements, but also refined and real-time updated source emission inventory. In order to obtain reliable forecasting tools, this paper studies the usability of several popular machine learning methods, such as support vector machine (SVM), k-nearest neighbor, and random forest, as well as several deep learning methods, on visibility forecasting. Starting from the main factors related to visibility, the relationships between wind speed, wind direction, temperature, humidity, and visibility are discussed. Training and forecasting were performed using the machine learning methods. The accuracy of these methods in visibility forecasting was confirmed through several parameters (i.e., root-mean-square error, mean absolute error, and mean absolute percentage error). The results show that: (1) among all meteorological parameters, wind speed was the best at reflecting the visibility change patterns; (2) long short-term memory recurrent neural networks (LSTM RNN), and gated recurrent unit (GRU) methods perform almost equally well on short-term visibility forecasts (i.e., 1, 3, and 6 h); (3) a classical machine learning method (i.e., the SVM) performs well in mid- and long-term visibility forecasts; (4) machine learning methods also have a certain degree of forecast accuracy even for long time periods (e.g., 7 2h).

ABSTRACT Objective: To determine the absolute number of serum T lymphocytes and cytokine levels and the characteristics of patients with active pulmonary tuberculosis and to assess their effect on the immune status of these patients and their diagnostic and predictive value for tuberculosis. Methods: We included 1,069 patients with active tuberculosis, 51 patients with latent tuberculosis infection, and 600 health individuals. Absolute serum T-lymphocyte counts and cytokine levels were quantified. Results: T lymphocytes were significantly reduced in patients with active tuberculosis when compared with healthy individuals. The immune function of patients gradually decreased with age and was stronger in female patients than in males. Th1 cells expressed higher levels of cytokines than did Th2 cells. Logistic regression analysis showed that reduced CD3+ T, CD8+ T, and NK cell counts, as well as reduced IL-4 and IFN-g expression, were independent influencing factors for active tuberculosis. ROC analysis showed that the sensitivity and specificity of absolute CD3+ T and CD8+ T lymphocyte counts and combined factors were significantly higher than were those of IL-4 and IFN-g for diagnosing active tuberculosis. Conclusions: Serum T-lymphocyte counts and cytokine levels can assess the immune status of tuberculosis patients; they are also useful biomarkers for predicting and diagnosing tuberculosis. Objective Methods 1069 1 069 1,06 5 infection 60 individuals Tlymphocyte quantified Results males Th CD3 CD CD8 IL4 IL 4 IL- IFNg IFN g expression Conclusions 106 06 1,0 6 10 0 1,

RESUMO Objetivo: Determinar o número absoluto de linfócitos T séricos e os níveis de citocinas séricas, bem como as características, de pacientes com tuberculose pulmonar ativa e avaliar o efeito desses no estado imunológico desses pacientes e seu valor diagnóstico e preditivo para tuberculose. Métodos: Foram incluídos 1.069 pacientes com tuberculose ativa, 51 pacientes com tuberculose latente e 600 indivíduos saudáveis. Foram realizadas a contagem absoluta de linfócitos T séricos e a quantificação de citocinas séricas. Resultados: Os linfócitos T estavam significativamente reduzidos nos pacientes com tuberculose ativa em comparação com os indivíduos saudáveis. A função imunológica dos pacientes diminuiu gradativamente com a idade e mostrou-se mais forte nas mulheres do que nos homens. As células Th1 expressaram maiores níveis de citocinas do que as células Th2. A análise de regressão logística mostrou que contagens reduzidas de células T CD3+, T CD8+ e NK e expressão reduzida de IL-4 e IFN-g foram fatores de influência independentes para tuberculose ativa. A análise ROC mostrou que a sensibilidade e especificidade dos valores absolutos de linfócitos T CD3+ e T CD8+ e de fatores combinados foram significativamente maiores do que as da IL-4 e do IFN-g para o diagnóstico da tuberculose ativa. Conclusões: A contagem de linfócitos T séricos e os níveis de citocinas séricas podem avaliar o estado imunológico de pacientes com tuberculose; também são biomarcadores úteis na predição e diagnóstico da tuberculose. Objetivo características Métodos 1069 1 069 1.06 5 60 saudáveis Resultados mostrouse se homens Th Th2 CD3 CD CD8 IL4 IL 4 IL- IFNg IFN g Conclusões 106 06 1.0 6 10 0 1.

Abstract Introduction: type 2 diabetes (T2DM) is a complex disease affected by lifestyle and genetic factors. Although the drugs currently used to treat T2DM have certain curative effects, they still have some adverse side effects. Therefore, it is urgent to find new effective drugs with few side effects to cure T2DM. Objective: to study the role of Inonotus obliquus (IO) in diabetic model mice. Methods: we used high-fat diet (HFD) combined with streptozocin (STZ) to establish a diabetic mouse model. Mice were divided into non-high-fat diet group (ND), diabetes model group (HFD + STZ) and IO-treated diabetes model group (IO). The mice in the IO group were orally treated with IO (150 mg/kg) at 10 ml/kg for five weeks. Body weight, glucose level, food intake and water consumption, glucose tolerance and insulin tolerance were evaluated in all mice. The pathological sections of liver, kidney and pancreas were observed by hematoxylin-eosin staining. Results: after IO administration, the blood glucose level, water consumption, low-density lipoprotein (LDL) and triacylglycerol (TG) levels of mice decreased. Compared with the HFD + STZ group, the number of normal islet iiiiiiii cells increased and focal necrosis of the liver was significantly reduced in the IO administration group. Conclusions: IO reduced the levels of blood glucose, restored body weight, and enhanced insulin sensitivity along with insulin tolerance and glucose tolerance in diabetic mice. Additionally, IO also reversed HFD and STZ-induced organ injury.

Resumen Introducción: la diabetes mellitus tipo 2 (T2DM) es una enfermedad compleja influenciada por el estilo de vida y los factores genéticos. En la actualidad, aunque los medicamentos para la diabetes tipo 2 tienen cierto efecto curativo, todavía tienen algunos efectos secundarios. Por lo tanto, es urgente encontrar nuevos medicamentos para la diabetes tipo 2 que tengan un buen efecto curativo y menos efectos secundarios. Objetivo: estudiar el papel del Inonotus obliquus (IO) en ratones diabéticos. Métodos: se estableció un modelo de ratón diabético con dieta de alto contenido en grasas (HFD) y estreptozocina (STZ). Los ratones se dividieron en el grupo de dieta no alta en grasas (ND), el grupo modelo de diabetes mellitus (HFD + STZ) y el grupo modelo de diabetes mellitus tratado con IO. Los ratones del grupo IO recibieron 10 ml/kg de IO (150 mg/kg) durante cinco semanas. Se observaron el peso corporal, el nivel de azúcar en sangre, la ingesta de alimentos, la ingesta de agua potable, la tolerancia a la glucosa y la tolerancia a la insulina de los ratones de cada grupo, y se estudiaron muestras de biopsias hepáticas, renales y pancreáticas mediante tinción de hematoxilina eosina. Resultados: los niveles de glucosa en sangre, el consumo de agua, la lipoproteína de baja densidad (LDL) y los triglicéridos (TG) disminuyeron después de la administración de IO. En comparación con el grupo HFD+STZ, el número de células β pancreáticas normales y la necrosis focal hepática disminuyeron significativamente en el grupo IO. Conclusiones: el IO redujo el nivel de glucosa en sangre, ayudó a recuperar el peso corporal y mejorar la sensibilidad a la insulina, la tolerancia a la insulina y la tolerancia a la glucosa en ratones diabéticos. Además, el IO revirtió el daño orgánico inducido por HFD y STZ.

Abstract To study the caramel reactions of disaccharides with water, the type I maltose caramel products (MCPs) and sucrose caramel products (SCPs) at three reaction stages were yielded and their reaction rates, UV absorptions, flavor compounds, and antioxidant activities were also detected. It was found that the caramel reactions of sucrose were faster than those of maltose and their reaction rates quickly increased to a high level in the middle stage. UV absorption of SCP in the late stage at 305 nm was much stronger than those of MCPs. Both the MCP and SCP obtained at 180 °C and 4 min had the highest concentrations of 5-hydroxymethylfurfural and total flavor compounds. Moreover, the total flavor concentrations of SCPs were much larger than those of MCPs and the antioxidant effects of SCPs were also stronger. Thus, a preferred condition for both two disaccharide caramel reactions was suggested at 180 °C for 4 min and the sucrose caramels could give better flavors than maltose caramels.

Heliconema hainanensis sp. nov. collected from Uroconger lepturus (Richardson) (Anguilliformes: Congridae), Muraenesox cinereus (Forsskål) and Congresox talabonoides (Bleeker) (Anguilliformes: Muraenesocidae) in the South China Sea was described using light and scanning electron microscopy. The new species differs from its congeners by the following morphology: pseudolabia, the number and arrangement of caudal papillae (4 pairs of pedunculate precloacal papillae arranged in 2 groups of 2 and 2 pairs and 6 pairs of pedunculate postcloacal papillae arranged in 4 groups of 1, 2, 1 and 2 pairs), the length of spicules [left spicule 0.51-0.69 mm, right spicule 0.20-0.27 mm, spicule (right:left) ratio 1:2.20-2.69] and the morphology of the female tail tip. In addition, specimens of the new species collected from the three different hosts and specimens of an unidentified species of Heliconema collected from U. lepturus were characterised using molecular methods by sequencing the internal transcribed spacer (ITS) of ribosomal DNA. Analyses and comparison of the ITS sequence of H. hainanensis sp. nov. with Heliconema sp. support the validity of the new species based on morphological observations. An identification key to the species of Heliconema is also provided.