Modeling the potential distribution of the energy tree species Triadica sebifera in response to climate change in China.

As an important woody oilseed species in China, Triadica sebifera is not only concerned with the substitution of traditional energy sources, but also plays a considerable role in coping with energy shortages. Accurately predicting the potential geographic distribution of Triadica sebifera in China and understanding its ecological needs are crucial for alleviating the energy crisis and effectively implementing energy substitution strategies. In this study, the potential geographic distribution of Triadica sebifera in China at contemporary and future periods was predicted based on the distribution data of Triadica sebifera in China and the environmental factor variables by Maxent model and ArcGIS software. The combination of important factors governing the potential geographic distribution of Triadica sebifera was assessed by the contribution of environmental factor variables. The accuracy of Maxent model's predictions was assessed by AUC values, TSS values and Kappa statistics. The results show that: High AUC and TSS values indicate high accuracy and performance of the model. The crucial environmental factors limiting the potential geographic distribution of Triadica sebifera are the temperature factor (mean air temperature of the driest quarter), precipitation factor (precipitation of the coldest quarter, precipitation of the wettest month), and the intensity of human activities (hf). The total suitable area for Triadica sebifera is 233.64 × 104 km2, primarily located in Yunnan, Sichuan, Hubei, Guizhou, Jiangxi, Guangdong province and Guangxi Zhuang Autonomous Region; its high suitability area is 30.89 × 104 km2, accounting for 13.22% of the total suitable area, mainly distributed in Jiangxi, Sichuan and Hunan provinces in the shape of a cake. Under the four typical greenhouse gas emission concentration patterns in the 2050s and 2070s, the areas of high and medium suitable areas for Triadica sebifera will increase, while the area of its low suitable area will decrease. However, the total suitable area will remain relatively unchanged. Its potential suitable habitats show a trend of shifting towards lower latitudes and southeast regions. The study predicted the pattern of Triadica sebifera under different climate change conditions, which can provide guidance for future cultivation of Triadica sebifera as well as for biofuel development and utilization.

Global transcriptome analysis reveals potential genes associated with genic male sterility of rapeseed (Brassica napus L.).

Rapeseed is the third leading source of edible oil in the world. Genic male sterility (GMS) lines provide crucial material for harnessing heterosis for rapeseed. GMS lines have been widely used successfully for rapeseed hybrid production. The physiological and molecular mechanism of pollen development in GMS lines of rapeseed (Brassica napus L.) need to be determined for the creation of hybrids and cultivation of new varieties. However, limited studies have focused on systematically mining genes that regulate the pollen development of GMS lines in B. napus. In the present study, to determine the stage at which pollen development begins to show abnormality in the GMS lines, we performed semi-thin section analysis of the anthers with five pollen development stages. The results indicated that the abnormal pollen development in DGMS lines might start at the meiotic stage, and abnormal pollen development in RGMS lines probably occurred before the tetrad stage. To investigate the critical genes and pathways involved in pollen development in GMS lines, we constructed and sequenced 24 transcriptome libraries for the flower buds from the fertile and sterile lines of two recessive GMS (RGMS) lines (6251AB and 6284AB) and two dominant GMS (DGMS) lines (4001AB and 4006AB). A total of 23,554 redundant DEGs with over two-fold change between sterile and fertile lines were obtained. A total of 346 DEGs were specifically related to DGMS, while 1,553 DEGs were specifically related to RGMS. A total of 1,545 DEGs were shared between DGMS and RGMS. And 253 transcription factors were found to be differentially expressed between the sterile and fertile lines of GMS. In addition, 6,099 DEGs possibly related to anther, pollen, and microspore development processes were identified. Many of these genes have been reported to be involved in anther and microspore developmental processes. Several DEGs were speculated to be key genes involved in the regulation of fertility. Three differentially expressed genes were randomly selected and their expression levels were verified by quantitative PCR (qRT-PCR). The results of qRT-PCR largely agreed with the transcriptome sequencing results. Our findings provide a global view of genes that are potentially involved in GMS occurrence. The expression profiles and function analysis of these DEGs were provided to expand our understanding of the complex molecular mechanism in pollen and sterility development in B. napus.

QTL mapping for low temperature germination in rapeseed.

Rapeseed, a major oil crop in the world, is easily affected by low-temperature stress. A low temperature delays seed germination and increases seedling mortality, adversely affecting rapeseed growth and production. In the present study, a tolerant cultivar (Huyou21) was crossed with a susceptible genotype (3429) to develop a mapping population consisting of 574 F2 progenies and elucidate the genetic mechanisms of seed germination under low temperatures. Two quantitative trait loci (QTL) for low-temperature germination (LTG) were detected, one on chromosome A09 (named qLTGA9-1) and the other on chromosome C01 (named qLTGC1-1), using the QTL-seq approach and confirmed via linkage analysis in the mapping population. Further, qLTGA9-1 was mapped to a 341.86 kb interval between the SSR markers Nys9A212 and Nys9A215. In this region, 69 genes including six specific genes with moderate or high effect function variants were identified based on the Ningyou7 genome sequence. Meanwhile, qLTGC1-1 was mapped onto a 1.31 Mb interval between SSR markers Nys1C96 and Nys1C117. In this region, 133 genes including five specific genes with moderate effect function variants were identified. These specific genes within the two QTL could be used for further studies on cold tolerance and as targets in rapeseed breeding programs.

Identification of miRNAs and their target genes in genic male sterility lines in Brassica napus by small RNA sequencing.

BACKGROUND: Brassica napus is the third leading source of edible oil in the world. Genic male sterility (GMS) lines provide crucial material for harnessing heterosis for rapeseed. GMS lines have been used successfully for rapeseed hybrid production in China. MicroRNAs (miRNAs) play crucial regulatory roles in various plant growth, development, and stress response processes. However, reports on miRNAs that regulate the pollen development of GMS lines in B. napus are few. RESULTS: In this study, 12 small RNA and transcriptome libraries were constructed and sequenced for the flower buds from the fertile and sterile lines of two recessive GMS (RGMS) lines, namely, "6251AB" and "6284AB". At the same time, 12 small RNA and transcriptome libraries were also constructed and sequenced for the flower buds from the fertile and sterile lines of two dominant GMS (DGMS) lines, namely, "4001AB" and "4006AB". Based on the results, 46 known miRNAs, 27 novel miRNAs on the other arm of known pre-miRNAs, and 44 new conserved miRNAs were identified. Thirty-five pairs of novel miRNA-3p/miRNA-5p were found. Among all the identified miRNAs, fifteen differentially expressed miRNAs with over 1.5-fold change between flower buds of sterile and fertile lines were identified, including six differentially expressed miRNAs between "4001A" and "4001B", two differentially expressed miRNAs between "4006A" and "4006B", four differentially expressed miRNAs between "6251A" and "6251B", and ten differentially expressed miRNAs between "6284A" and "6284B". The correlation analysis of small RNA and transcriptome sequencing was conducted. And 257 candidate target genes were predicted for the 15 differentially expressed miRNAs. The results of 5' modified RACE indicated that BnaA09g48720D, BnaA09g11120D, and BnaCnng51960D were cleaved by bna-miR398a-3p, bna-miR158-3p and bna-miR159a, respectively. Among the differentially expressed miRNAs, miR159 was chosen to analyze its function. Overexpression of bna-miR159 in Arabidopsis resulted in decreased seed setting rate, and shortened siliques, illustrating that miR159 may regulate the fertility and silique development in rapeseed. CONCLUSIONS: Our findings provide an overview of miRNAs that are potentially involved in GMS and pollen development. New information on miRNAs and their related target genes are provided to exploit the GMS mechanism and reveal the miRNA networks in B. napus.

Global Analysis of the Genetic Variations in miRNA-Targeted Sites and Their Correlations With Agronomic Traits in Rapeseed.

MicroRNAs (miRNAs) and their target genes play vital roles in crops. However, the genetic variations in miRNA-targeted sites that affect miRNA cleavage efficiency and their correlations with agronomic traits in crops remain unexplored. On the basis of a genome-wide DNA re-sequencing of 210 elite rapeseed (Brassica napus) accessions, we identified the single nucleotide polymorphisms (SNPs) and insertions/deletions (INDELs) in miRNA-targeted sites complementary to miRNAs. Variant calling revealed 7.14 million SNPs and 2.89 million INDELs throughout the genomes of 210 rapeseed accessions. Furthermore, we detected 330 SNPs and 79 INDELs in 357 miRNA target sites, of which 33.50% were rare variants. We also analyzed the correlation between the genetic variations in miRNA target sites and 12 rapeseed agronomic traits. Eleven SNPs in miRNA target sites were significantly correlated with phenotypes in three consecutive years. More specifically, three correlated SNPs within the miRNA-binding regions of BnSPL9-3, BnSPL13-2, and BnCUC1-2 were in the loci associated with the branch angle, seed weight, and silique number, respectively; expression profiling suggested that the variation at these 3 miRNA target sites significantly affected the expression level of the corresponding target genes. Taken together, the results of this study provide researchers and breeders with a global view of the genetic variations in miRNA-targeted sites in rapeseed and reveal the potential effects of these genetic variations on elite agronomic traits.

DUSP1 regulates hippocampal damage in epilepsy rats via ERK1/2 pathway.

OBJECTIVE: To investigate the effects of DUSP1 on the hippocampal injury of young rats with epilepsy (EP) through mediating ERK1/2 signaling pathway. METHODS: Young SD rats were selected and divided into Control, EP, EP + LV-GFP, EP + LV-DUSP1, EP + LV-siDUSP1, and EP + LV-siDUSP1 + U0126 groups. Morris Water Maze Test was used to detect the spatial learning and memory. Nissl staining and TUNEL staining were conducted and the inflammatory factors and oxidative stress-related indicators were also measured. Western blotting was utilized to detect the expression of DUSP1 and ERK1/2 pathway. EP cell model was constructed in vitro to verify the in vivo results. RESULTS: Compared with Control group, young rats in EP group had decreased spatial learning and memory abilities and increased apoptotic rate and decreased number of Nissl positive cells. Besides, the up-regulated levels in inflammatory factors (IL-1ß, IL-6), MDA content, and p-ERK1/2/ERK1/2 protein expression, as well as the down-regulated levels in DUSP1 protein expression and SOD content were also observed in EP rats. The EP rats treated with LV-DUSP1 showed obvious improvements regarding the above indicators, while those treated with LV-siDUSP1 had aggravated injury. But the effect of LV-siDUSP1 can be reversed by the treatment with ERK1/2 pathway inhibitor U0126. Further in vitro investigation verified the in vivo results. CONCLUSION: DUSP1 may ameliorate the oxidative stress and inflammatory injury, as well as improve spatial learning and memory abilities via inhibiting ERK1/2 pathway, eventually playing protective roles in hippocampal injury of young rats with EP.

Glucotoxicity Activation of IL6 and IL11 and Subsequent Induction of Fibrosis May Be Involved in the Pathogenesis of Islet Dysfunction.

Background: Islet dysfunction is the main pathological process of type 2 diabetes mellitus (T2DM). Fibrosis causes islet dysfunction, but the current mechanism is still unclear. Here, bioinformatics analysis identified gene clusters closely related to T2DM and differentially expressed genes related to fibrosis, and animal models verified the roles of these genes. Methods: Human islet transcriptomic datasets were obtained from the Gene Expression Omnibus (GEO), and weighted gene coexpression network analysis (WGCNA) was applied to screen the key gene modules related to T2DM and analyze the correlations between the modules and clinical characteristics. Enrichment analysis was performed to identify the functions and pathways of the key module genes. WGCNA, protein-protein interaction (PPI) analysis and receiver operating characteristic (ROC) curve analysis were used to screen the hub genes. The hub genes were verified in another GEO dataset, the islets of high-fat diet (HFD)-fed Sprague-Dawley rats were observed by H&E and Masson's trichrome staining, the fibrotic proteins were verified by immunofluorescence, and the hub genes were tested by immunohistochemistry. Results: The top 5,000 genes were selected according to the median absolute deviation, and 18 modules were analyzed. The yellow module was highly associated with T2DM, and its positive correlation with glycated hemoglobin (HbA1c) was significantly stronger than that with body mass index (BMI). Enrichment analysis revealed that extracellular matrix organization, the collagen-containing extracellular matrix and cytokine-cytokine receptor interaction might influence T2DM progression. The top three hub genes, interleukin 6 (IL6), IL11 and prostaglandin-endoperoxide synthase 2 (PTGS2), showed upregulated expression in T2DM. In the validation dataset, IL6, IL11, and PTGS2 levels were upregulated in T2DM, and IL6 and PTGS2 expression was positively correlated with HbA1c and BMI; however, IL11 was positively correlated only with HbA1c. In HFD-fed Sprague-Dawley rats, the positive of IL6 and IL11 in islets was stronger, but PTGS2 expression was not significantly altered. The extent of fibrosis, irregular cellular arrangement and positive actin alpha 2 (ACTA2) staining in islets was significantly greater in HFD-fed rats than in normal diet-fed rats. Conclusion: Glucotoxicity is a major factor leading to increased IL6 and IL11 expression, and IL6-and IL11-induced fibrosis might be involved in islet dysfunction.

Development of genome-wide SSR markers in rapeseed by next generation sequencing.

Rapeseed (Brassica napus L.) is an important oil crop with a huge genome. This study used next generation sequencing technology to develop SSR markers in rapeseed. A total of 213,876 sequence reads were obtained in 58.8 Mb. For these reads, 21,523 SSRs were recovered from 18,575 microsatellites sequences and 8,964 SSR primer pairs were identified. Di- and mono-nucleotides were the most abundant, accounting for 47.5% and 30.7% of all SSRs, respectively. A total of 8,776 SSRs were designed from contigs and 100 SSR primers were tested for validation of SSR locus amplification. Nearly all (94%) of the markers were found to produce clear amplicons and to be reproducible. For these markers, forty-three SSRs showed polymorphic bands in eight rapeseed accessions. Thirty-four SSRs were then applied to 78 rapeseed accessions from China to evaluate the genetic diversity. Result showed that the allele number varied from two to seven, with a mean value of 3.59. The effective allele number of ranged from 1.14 to 3.25, with an average of 2.09. The average values of observed heterozygosity and expected heterozygosity were 0.54 and 0.49, respectively. The Nei's gene diversity varied from 0.12 to 0.69, with a mean value of 0.48. Resulting of the markers testing showed that the identified genome-wide SSRs were useful in rapeseed genetic studies, including genetic diversity, QTL mapping and marker-assisted selection for breeding.

Composite cardiovascular risk and BMI affected comparative profiles of BIAsp 30 + metformin vs BIAsp 30 monotherapy: a MERIT post-hoc analysis.

We assessed whether comparative efficacy and safety of biphasic insulin aspart 30 (BIAsp 30) plus metformin versus BIAsp 30 monotherapy differed for patients with type 2 diabetes mellitus (T2DM) inadequately controlled with oral antidiabetic drugs with different cardiovascular risk scores and different body mass indexes (BMI) by performing a post hoc analysis of the randomized controlled MERIT study. In the MERIT study, eligible patients were randomized 1:1 to receive BIAsp 30 plus metformin or BIAsp 30 for 16 weeks. Patients in the 2 treatment groups were classified into "low" and "high" risk subgroups based on their GloboRisk scores and into "BMI ≤ 26 kg/m2"and "BMI > 26 kg/m2" subgroups. Primary efficacy endpoint was between-treatments comparison of HbA1c changes from baseline for these 2 sets of subgroups. Between-treatments comparisons of secondary efficacy and safety endpoints were also performed. We found that BIAsp 30 plus metformin led to significantly higher percentage of high-risk patients achieving HbA1c target < 7% than BIAsp 30 monotherapy, with an overall comparable safety profile for high-risk patients. Meanwhile, for patients with BMI ≤ 26 kg/m2, compared with BIAsp 30 monotherapy, BIAsp 30 plus metformin led to significantly higher percentages of patients achieving HbA1c target (47.83% vs 28.17%, P = 0.0165) and composite target of HbA1c < 7% without hypoglycemia or weight gain (20.29% vs 6.85%, P = 0.0187) and have a slightly better safety profile. In conclusion, for T2DM patients at high CV risk or with BMI ≤ 26 kg/m2, BIAsp 30 plus metformin was preferable to BIAsp 30 monotherapy.

Prognostic significance of high triglyceride and apolipoprotein B levels in patients with stage III and high-risk stage II colorectal cancer undergoing curative surgery.

Although epidemiologic studies suggest that dyslipidemia increases the risk of colorectal cancer (CRC), the prognostic value of blood lipid and apolipoprotein levels in CRC remains unclear. The aim of the present study was to investigate the impact of blood lipid and apolipoprotein levels on the prognosis of patients with stage III and high-risk stage II CRC undergoing curative surgery. Preoperative levels of total cholesterol, triglycerides (TG), high-density lipoprotein, low-density lipoprotein, very-low-density lipoprotein, apolipoprotein A1 and apolipoprotein B (APO-B) in patients with CRC undergoing surgery were evaluated. The cut-off values of these factors were determined by the maximal x2 method and were used to classify patients into two prognostic groups: Poor and good prognosis groups. The patients prognostic values were assessed using the Kaplan-Meier curve and Cox regression analysis. In addition, the impact of these parameters on the prognosis and their predictive accuracy were evaluated using nomograms and Harrells concordance index, respectively. In total, 246 patients were included in this evaluation. Based on the cut-off points for TG (1.53 mmol/l in men and 1.58 mmol/l in women) and APO-B (0.73 mmol/l in men and women), the present study determined that both TG and APO-B were predictors of disease-free survival (DFS) and overall survival (OS). Multivariate analysis demonstrated that high TG (men, ≥1.53 mmol/l; women, ≥1.58 mmol/l) and high APO-B (≥0.73 mmol/l) levels were significantly associated with decreased DFS and OS. Nomograms that included values for TG and APO-B levels demonstrated higher predictive accuracy compared with that of nomograms without these values. These results indicated that TG and APO-B levels may be good independent prognostic biomarkers after radical CRC surgery. Therefore, adjusting these parameters to moderate levels may be beneficial.

Molecular mechanisms underpinning the multiallelic inheritance of MS5 in Brassica napus.

The Brassica-specific gene MS5 mediates early meiotic progression, and its allelic variants contribute to a valuable genic male sterility three-line hybrid production system in rapeseed (Brassica napus L.). However, the underlying mechanisms of its triallelic inheritance are poorly understood. Herein, we show that the restorer allele MS5a and the maintainer allele MS5c are both necessary for male fertility in B. napus. The functional divergence of MS5a and MS5c is strongly related to sequence variations in their coding regions and less strongly to their promoter regions. The male-sterile allele MS5b encodes a chimeric protein containing only the complete MS5 coiled-coil (CC) domain, having lost the MS5 superfamily domain. Both MS5a and MS5c can form homodimers in the nucleus via the CC domain. MS5b can interact competitively with MS5a or MS5c to form non-functional heterodimers. Owing to the close transcript levels of MS5b and MS5c in MS5b MS5c , these heterodimers induced a dominant-negative effect of MS5b on MS5c , resulting in a male-sterile phenotype. The extremely high transcript abundance of MS5a maintains sufficient MS5a homodimers in MS5a MS5b , causing the recovery of male sterility. These findings provide substantial genetic and molecular evidence to improve our understanding of the mechanisms underlying the multiallelic inheritance of MS5, and enable the construction of a solid foundation for improved use of the MS5-controlled GMS system in Brassica species.

Exendin­4 inhibits lipotoxicity­induced oxidative stress in ß­cells by inhibiting the activation of TLR4/NF­κB signaling pathway.

The present study aimed to investigate the relationship between the protective effects of exendin­4 (EX­4) on lipotoxicity­induced oxidative stress and meta­inflammation in ß­cells and the toll­like receptor 4 (TLR4)/NF­κB signaling pathway. Lipotoxicity, hydrogen peroxide (H2O2)­induced oxidative stress in ß cells, obese Sprague Dawley rats and TLR4 truncation rats were utilized in the present study. The expression levels were detected by western blotting; cell apoptosis was detected by TUNEL assay; and the intracellular reactive oxygen species (ROS) levels were analyzed using a ROS assay kit. The findings of the present study showed that EX­4 inhibited the expression of TLR4, NF­κB p65 subunit and p47phox in a concentration­dependent manner, and decreased the intracellular level of ROS. Additionally, silencing of TLR4 expression enhanced the protective effects of EX­4, while overexpression of TLR4 attenuated these protective influences. Simultaneously, it was demonstrated that TLR4 was involved in the process of EX­4 intervention to inhibit H2O2­induced oxidative stress in islet ß­cells. Moreover, it was found that EX­4 also inhibited TLR4­ or NF­κB agonist­induced oxidative stress. These results were also confirmed in an animal model of obese rats, in which EX­4 was able to improve the function of ß­cells, attenuate oxidative stress, and inhibit the expression levels of TLR4 and NF­κB p65 subunit in the pancreas of the diet­induced obese rats. Furthermore, truncation of the TLR4 gene in SD rats delayed the aforementioned damage. In summary, EX­4 may inhibit lipotoxicity­induced oxidative stress in ß­cells by inhibiting the activation of the TLR4/NF­κB signaling pathway.

Fine mapping and candidate gene analysis of a seed glucosinolate content QTL, qGSL-C2, in rapeseed (Brassica napus L.).

KEY MESSAGE: QTL mapping and candidate gene analysis indicate that allelic variations in BnaC2.MYB28 resulted from homeologous exchange and determine difference in seed glucosinolate content. A low seed glucosinolate content has long been an important breeding objective in rapeseed improvement. However, the molecular mechanisms underlying seed GSL content variations remain to be elucidated in allotetraploid Brassica napus. Here, we developed a double haploid population from a cross between two B. napus accessions that possess relatively low, but significantly different seed GSL contents and identified a major QTL, qGSL-C2, on chromosome C02 that explains 30.88-72.87% of the phenotypic variation observed in five environments. Using near-isogenic lines, we further delimited qGSL-C2 to a physical region of 49 kb on the B. rapa chromosome A02 which is highly homologous to the target C02 interval. Among five candidate genes, BnaC2.MYB28, a homologue of the Arabidopsis MYB28 encoding a putative R2R3-MYB-type transcription factor functioning in aliphatic methionine-derived GSL synthesis, was most likely to be the target gene underlying the QTL. Sequence analysis revealed multiple insertion/deletion and SNP variations in the genomic region between the alleles of the NILs. Furthermore, the allelic variations in BnaC2.MYB28 in the natural B. napus population were significantly associated with seed GSL content. Remarkably, the phylogenetic analysis and sequence comparison suggested that while the BnaC2.MYB28 allele from the parental line G120 was inherited from B. oleracea BolC2.MYB28, its counterpart from the other parent, 9172, most likely evolved from B. rapa BraA2.MYB28 via possible homeologous exchange. Our study promotes greater understanding of the molecular regulation of seed GSL content and provides useful molecular markers for seed GSL improvement in B. napus.

Observational study evaluating the effectiveness of physician-targeted education for improving glycemic management of patients with type 2 diabetes (BEYOND II).

BACKGROUND: Because there has been no quality improvement initiatives targeting patients with type 2 diabetes (T2D) receiving basal insulin therapy, this study evaluated the effectiveness of physician-targeted education for optimizing glycemic management in these patients in China. METHODS: This multicenter open-label observational study conducted across China had a baseline sample survey, followed by a 6-month education program, and ended with a post-education sample survey. Education based on T2D treatment guidelines was given at Months 1 and 3, and was reinforced by self-audit every month. Each hospital enrolled 100 patients with T2D receiving basal insulin at both the baseline and post-education survey. The primary outcome was the proportion of hospitals meeting individual improvement goals. The goal setting was based on the proportion of patients achieving HbA1c <7.0% in each hospital at the time of the baseline survey. RESULTS: Overall, the individual improvement goal was achieved by 35 centers (49%). Hospitals with poor glycemic management at the baseline survey had higher possibility to improve at post-education survey. Two large sample surveys at baseline and post-education showed improved glucose management among these hospitals. A higher proportion of patients achieved HbA1c <7.0% in the post-education survey (27.2% vs 36.5%; P < 0.001) with reduced HbA1c levels (8.10% vs 7.72%; P < 0.001). Questionnaires from 723 physicians showed that confidence and practice of basal insulin use were significantly improved. CONCLUSIONS: Physician-targeted education improved glycemic management of patients with T2D in 71 hospitals in China, and was more effective at hospitals with poor glycemic management at the baseline survey.

TLR4 knockout can improve dysfunction of ß-cell by rebalancing proteomics disorders in pancreas of obese rats.

PURPOSE: Studies showed that TLR4 knockout (TLR4KO) could mitigate obesity and insulin resistance induced by high-fat diet in rats. In this study, we further investigated the effects of TLR4KO on islet function and pancreatic proteomics in obese rats by high-fat diet. METHODS: PA-induced lipotoxicity ß-cells, SD and TLR4KO rats were used in this study. iTRAQ was used to screen out meaningful differential proteins.The protein expression level was evaluated by Western blotting; the cell apoptosis was detected by TUNEL assay. RESULTS: TLR4KO could reduce inflammatory and regulate body composition in obese rats, and improve ß-cells function. The quantitative analysis of protein revealed that TLR4KO rebalanced proteomics disorders in pancreas of obese rats. In addition, the pathways involved in differential proteins were mainly metabolic pathways, arachidonic acid metabolism, ECM-receptor interaction, pancreatic secretion, PI3K-Akt signaling pathway, and FoxO signaling pathway. Further analysis of protein-protein interaction (PPI) revealed that Stk39 and Ass1 interacting through Mapk14-Ywhae were node proteins and participated in inflammatory response, carboxylic acid metabolic process, and small molecule metabolic process. In vitro experiments we confirmed that silencing TLR4 can inhibit PA-induced ß-cell apoptosis, insulin secretion disorders, and increase Ass1 expression. While, overexpression of Ass1 in ß-cell inhibited PA or LPS-induced ß-cell damage. CONCLUSIONS: Our study confirmed that TLR4KO could improve dysfunction of ß-cell, and the underlying mechanism might be involved in ebalancing proteomics disorders in pancreas, affecting the expression of Ass1.

Different expression profile of mRNA and long noncoding RNA in autoimmune thyroid diseases patients.

Increasing evidence has found that long noncoding RNAs (lncRNAs) and message RNAs (mRNAs) play an important role in the progress of autoimmune thyroid diseases (AITD). So, in this study, the different expressed of lncRNA and mRNA was screened by microarray analysis and quantitative real-time polymerase chain reaction (PCR). To further investigate the relationship among the differentially expressed genes, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Gene ontology (GO) were used for biofunctions and signaling pathways analysis, respectively. Finally, the interaction relationship between lncRNA and mRNAs was analysis with lncRNA-mRNA coexpression network. The result found that the abnormal expression of lncRNAs and mRNAs were 1615 and 1913, respectively. The altered genes included CD40LG, IFNG, CTLA4, FAS, STAT1, STAT3, and STAT4. These were enriched in presentation and antigen processing, Th1 and Th2 cell differentiation, natural killer cell-mediated cytotoxicity, B cell receptor signaling pathway, Th17 cell differentiation, and cell adhesion molecules (CAMs), all of which had been suggested to be associated with immunopathogenic mechanisms and AITD-induced pathophysiologic changes. A coexpression network profile was contained with 126 network nodes and 477 connections which were based on seven mRNAs and 119 interacted lncRNAs. The outcomes of differentially expressed lncRNAs and their coreralated mRNAs in our study revealed that lncRNAs involved in immunopathogenic mechanisms may play a crital role in the pathogenesis of AITD.

Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study.

Aims: To identify the key differentially expressed genes (DEGs) in islet and investigate their potential pathway in the molecular process of type 2 diabetes.Methods: Gene Expression Omnibus (GEO) datasets (GSE20966, GSE25724, GSE38642) of type 2 diabetes patients and normal controls were downloaded from GEO database. DEGs were further assessed by enrichment analysis based on the Database for Annotation, Visualization and Integrated Discovery (DAVID) 6.8. Then, by using Search Tool for the Retrieval Interacting Genes (STRING) 10.0 and gene set enrichment analysis (GSEA), we identified hub gene and associated pathway. At last, we performed quantitative real-time PCR (qPCR) to validate the expression of hub gene.Results: Forty-five DEGs were co-expressed in the three datasets, most of which were down-regulated. DEGs are mostly involved in cell pathway, response to hormone and binding. In protein-protein interaction (PPI) network, we identified ATP-citrate lyase (ACLY) as hub gene. GSEA analysis suggests low expression of ACLY is enriched in glycine serine and threonine metabolism, drug metabolism cytochrome P450 (CYP) and NOD-like receptor (NLR) signaling pathway. qPCR showed the same expression trend of hub gene ACLY as in our bioinformatics analysis.Conclusion: Bioinformatics analysis revealed that ACLY and the pathways involved are possible target in the molecular mechanism of type 2 diabetes.

Chinese clinical guidelines for continuous glucose monitoring (2018 edition).

Blood glucose monitoring is an important part of diabetes management. Continuous glucose monitoring (CGM) technology has become an effective complement to conventional blood glucose monitoring methods and has been widely applied in clinical practice. The indications for its use, the accuracy of the generated data, the interpretation of the CGM results, and the application of the results must be standardized. In December 2009, the Chinese Diabetes Society (CDS) drafted and published the first Chinese Clinical Guideline for Continuous Glucose Monitoring (2009 edition), providing a basis for the standardization of CGM in clinical application. Based on the updates of international guidelines and the increasing evidence of domestic studies, it is necessary to revise the latest CGM guidelines in China so that the recent clinical evidence can be effectively translated into clinical benefit for diabetic patients. To this end, the CDS revised the Chinese Clinical Guideline for Continuous Glucose Monitoring (2012 Edition) based on the most recent evidence from international and domestic studies.