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Background. Ectodysplasin A (EDA), a member of the TNF family, plays important roles in ectodermal development, while recent studies expanded its regulatory effects on insulin resistance and lipid metabolism. This study was the first time to investigate the correlation between circulating EDA and albuminuria in patients with T2DM. Methods. A total of 189 T2DM and 59 healthy subjects were enrolled in the study. We analyzed the concentrations of EDA by ELISA. Plasma glucose, insulin, HbA1c, lipids, creatinine, BUN, and UACR were also measured. Insulin resistance and pancreatic cell function were assessed by HOMA. Results. Circulating EDA concentration was significantly increased in T2DM patients and increased with the degree of albuminuria. EDA was positively correlated with age, FIns, HOMA-IR, HOMA-β, Scr, and UACR, and negatively correlated with eGFR. Linear stepwise regression showed that FIns, HOMA-β, and UACR were independent influencing factors of EDA. Logistic regression analysis showed that EDA was independently associated with the occurrence of albuminuria in T2DM. ROC curve showed that EDA had an area under the receiver operating curve of 0.701 [ 95 % CI = 0.625 − 0.777 , P < 0.001 ]. Conclusion. EDA is positively correlated with the degree of albuminuria in patients with T2DM and may be involved in the occurrence and progression of diabetic kidney disease (DKD).

Neural-like P systems with plasmids (NP P systems, in short) are a kind of distributed and parallel computing systems inspired by the activity that bacteria process DNA such as plasmids. An important biological fact is that one or more pili are existed between two neighboring bacteria during the conjugation process, and this phenomenon can be abstracted into the concept of multiple channels. In this paper, we raise a type of distinctive P system that the neural-like P systems with plasmids and multiple channels (NPMC P systems, in short). In NPMC P systems, one or more channels are established between neighboring bacteria, each channel marked by the associated label is used to control the communication between two bacteria. Rules are applied in sequential order: each channel can only have one rule applied at a time. The computation power of NPMC P systems is explored. In particular, we show that NPMC P systems satisfy Turing universality in both the generating and accepting modes. If we limit the number of plasmids in any bacteria during a computation, then the power of NPMC P systems decreased drastically, but the characterization of semilinear sets of numbers is obtained (SLIN, in short).

Successful seed germination and seedling growth in orchids require an association with mycorrhizal fungi. An endophytic Fusarium fungal strain YZU 172038 exhibiting plant growth-promoting (PGP) ability was isolated from the roots of Spiranthes sinensis (Orchidaceae). The harboring endohyphal bacteria were detected in the hypha by SYTO-9 fluorescent nucleic acid staining, fluorescence in situ hybridization (FISH), and PCR amplification of the 16S rDNA gene’s region. Consequently, one endohyphal bacterium (EHB) – a strain YZSR384 was isolated and identified as Bacillus subtilis based on morphology, phylogenetic analysis, and genomic information. The results indicated that the strain YZSR384 could significantly promote the growth of rice roots and shoots similar to its host fungus. Its indole acetic acid (IAA) production reached a maximum of 23.361 μg/ml on the sixth day after inoculation. The genome annotation revealed several genes involved in PGP traits, including the clusters of genes encoding the IAA (trpABCDEFS), the siderophores (entABCE), and the dissolving phosphate (pstABCS and phoABDHPR). As an EHB, B. subtilis was first isolated from endophytic Fusarium acuminatum from S. sinensis.

Stem cell function in different meristems of Arabidopsis is mainly defined by WUSCHEL (WUS)/WUSCHEL-RELATED HOMEOBOX (WOX) family of proteins. Sugars have also been demonstrated to play pivotal roles in stem cell function and development of plants. As a cytosolic fructose 1,6-bisphosphatase, FRUCTOSE INSENSITIVE1 (FINS1) has been demonstrated to regulate plant growth in response to fructose signalling. However, it remains to be elucidated how stem cell function is regulated in response to fructose signalling. Our work showed that FINS1 interacts with WUS/WOX protein as a complex, which further binds to the promoter of WUS/WOX and regulates its expression in response to fructose signalling. FINS1 might act as a bifunctional factor that promotes WUS/WOX expression in the presence of low concentrations of fructose, and represses WUS/WOX expression in the presence of high concentrations of fructose. Therefore, FINS1 regulates stem cell function in response to fructose signalling during the growth and development of Arabidopsis.

Chalcogenide-based semiconductors have recently emerged as promising candidates for optoelectronic devices, benefiting from their low-cost, solution processability, excellent stability and tunable optoelectronic properties. However, the understanding of their fundamental optoelectronic properties is far behind the success of device performance and starts to limit their further development. To fill this gap, we conduct a comparative study of chalcogenide absorbers across a wide material space, in order to assess their suitability for different types of applications. We utilize optical-pump terahertz-probe spectroscopy and time-resolved microwave conductivity techniques to fully analyze their charge-carrier dynamics. We show that antimony-based chalcogenide thin films exhibit relatively low charge-carrier mobilities and short lifetimes, compared with bismuth-based chalcogenides. In particular, AgBiS2 thin films possess the highest mobility, and Sb2S3 thin films have less energetic disorder, which are beneficial for photovoltaic devices. On the contrary, Bi2S3 showed ultralong carrier lifetime and high photoconductive gain, which is beneficial for designing photoconductors.

A novel click-based bioactive injectable hydrogel based on two PEG derivatives realizes the efficient loading of rBMSCs and spatiotemporal delivery of rhBMP-2, basically accomplishing repair and regeneration of a critical-size defect within 4 weeks.

Fluorinated saccharide-derived hard carbon is prepared as a cathode material of lithium primary batteries, and the effect of the polymerization degree of the starting saccharide is investigated.

SiO2@Au nanoshell assisted laser desorption/ionization time-of-flight mass spectrometry was used to extract metabolic fingerprints of patients with coronary heart disease with high fidelity and minimum sample pretreatment.

As effective ways to regulate protein levels, targeted protein degradation technologies have attracted great attention in recent years. Here, we established a novel integrin-facilitated lysosomal degradation (IFLD) strategy to degrade extracellular and cell membrane proteins using bifunctional compounds as molecular degraders. By conjugation of a target protein-binding ligand with an integrin-recognition ligand, the resulting molecular degrader proved to be highly efficient to induce the internalization and subsequent degradation of extracellular or cell membrane proteins in an integrin- and lysosome-dependent manner. As demonstrated in the development of BMS-L1-RGD, which is an efficient programmed death-ligand 1 (PD-L1) degrader validated both

Auxin response factors (ARFs) are a class of transcription factors that regulate the expression of auxin-responsive genes and play important functions in plant growth and development. To understand the biological functions of the auxin response factor GhARF2 gene in upland cotton, the coding sequence (CDS) of GhARF2 gene was cloned, and its protein sequence, evolutionary relationship, subcellular localization and expression pattern were analysed.The CDS sequence of GhARF2 gene was cloned from upland cotton variety Baimian No.1, and its protein sequence was analyzed by bioinformatics method. The subcellular localization of GhARF2 protein was detected by tobacco epidermal transient transformation system, and the tissue expression and stress expression pattern of GhARF2 were analyzed by quantitative Real‑Time PCR (qRT-PCR).The full-length CDS of GhARF2 gene was 2583 bp, encoded 860 amino acids, and had a molecular weight and an isoelectric point of 95.46 KDa and 6.02, respectively. The GhARF2 protein had multiple phosphorylation sites, no transmembrane domain, and secondary structures dominated by random coils and alpha helix. The GhARF2 protein had 3 conserved typical domains of ARF gene family members, including the B3 DNA binding domain, the Auxin_resp domain, and the Aux/IAA domain. Phylogenetic analysis revealed that ARF2 proteins in different species were clustered in the Group A subgroup, in which GhARF2 was closely related to TcARF2 of Theobroma cacao L. (Malvaceae). The subcellular localization results showed that the GhARF2 protein was localized in the nucleus. Analysis of tissue expression pattern showed that the GhARF2 gene was expressed in all tested tissues, with the highest expression levels in sepal, followed by leaf, and the lowest expression levels in fiber. Further stress expression analysis showed that the GhARF2 gene was induced by drought, high-temperature, low-temperature and salt stress, and had different expression patterns under different stress conditions.These results established a foundation for understanding the functions of GhARF2 and breeding varieties with high-stress tolerance in cotton.

Carotid plaque is one of the typical manifestations and precursors of diabetic cardiovascular complications. As a new adipokine, asprosin participates in the development of diabetes and cardiovascular diseases, and is considered to be closely related to insulin resistance and glucolipid metabolism. This study aimed to analyze the relationship between serum asprosin level and carotid plaque in patients with type 2 diabetes mellitus (T2DM).A total of 180 patients with T2DM were selected. The basic parameters and biochemical indexes of the subjects were measured, and the serum asprosin concentration of the subjects was detected by ELISA. The carotid plaque was evaluated by color Doppler ultrasound.The level of serum asprosin in the T2DM with carotid plaque group was significantly higher than that in T2DM without carotid plaque group [2.53(1.73-3.21) vs 1.72(1.23-2.34) ng/mL, P 0.05]. The incidence of carotid plaque in the low, middle and high quartiles was 31.7 %, 48.3 % and 70 % respectively. Correlation analysis showed that serum asprosin was positively correlated with BMI, WHR, SBP, DBP, FIns, LDL-C, HOMA-IR, and HOMA-β (P 0.05). Linear regression analysis showed that WHR, DBP, FIns, and LDL-C were independent influencing factors of asprosin. Logistic regression analysis showed that serum asprosin was still significantly correlated with carotid plaque in T2DM patients after adjusting for multiple confounding factors. The area under receiver-operating curve (ROC) of asprosin predicting carotid plaque was 0.701 (0.625-0.777) in T2DM.The level of serum asprosin in T2DM patients with carotid plaques is significantly higher, suggesting that asprosin may play a role in the occurrence and development of carotid plaques in T2DM. Detection of this index can provide new clinical evidence for the prevention and treatment of diabetic cardiovascular disease.

N(6)-methyladenosine (m

PDZK1-interacting protein 1(PDZK1IP1), also known as MAP17, is encoded by the PDZK1IP1 gene and is a membrane-associated protein. PDZK1IP1 have been proven to be a potent regulator of cancer cell proliferation. However, the role of PDZK1IP1 in regulating goat subcutaneous preadipocyte proliferation is unknown. Here, we cloned the full-length coding sequence of PDZK1IP1 gene, investigated the potential functional of PDZK1IP1 in goat subcutaneous preadipocyte proliferation by gaining or losing function in vitro. Our results indicated that goat PDZK1IP1 gene consists of 345 bp, encoding a protein of 114 amino acids containing a typical PDZK1IP1 (MAP17) super family domain. Overexpression of PDZK1IP1 significantly increased the number of EdU-positive cells and cell viability, and also upregulated mRNA expression of cell proliferation-associated genes including CCND1 and CDK2 in vitro cultured cells. Conversely, knockdown of PDZK1IP1 mediated by siRNA technique significantly inhibited subcutaneous preadipocyte proliferation and downregulated mRNA expression of cell proliferation-associated genes including CCNE1, CCND1 and CDK2. Collectively, these results suggested that PDZK1IP1 can promote proliferation of goat subcutaneous preadipocyte.

Obstructive sleep apnea (OSA) is caused by repeated blockage of the upper respiratory airways during sleep. The traditional evaluation methods for OSA severity are yet limited. This study aimed to screen gene signatures to effectively evaluate OSA severity. Expression profiles of peripheral blood mononuclear cells in the different severities of OSA patients were accessed from Gene Expression Omnibus (GEO) database. A total of 446 differentially expressed genes (DEGs) were screened among the varying severities of OSA samples by analysis of variance (ANOVA) test. A total of 1,152 DEGs were screened between the pre- and post-treatment OSA samples by using t test. Overlap of the two groups of DEGs was selected (88 DEGs) for Metascape enrichment analysis. Afterwards, Mfuzz package was used to perform soft clustering analysis on these 88 genes, by which 6 clusters were obtained. It was observed that the gene expression condition of the cluster 3 was positively associated with OSA severity degree; also, the gene expression condition in cluster 4 was negatively correlated with OSA severity. A total of 10 gene markers related to OSA progression were selected from cluster 3 and cluster 4. Their expression levels and correlation were analyzed. The marker genes in cluster 3 and cluster 4 were examined, finding that most genes were significantly correlated with apnea hypopnea index (AHI). An accurate and objective assessment of the severity of OSA is of great significance for formulating follow-up treatment strategies for patients with OSA. In this paper, a set of marker genes that can detect the severity of OSA were screened by bioinformatics methods, which could be jointly used with the traditional OSA diagnostic index to achieve a more reliable OSA severity evaluation.