LncRNA KIFAP3-5:1 inhibits epithelial-mesenchymal transition of renal tubular cell through PRRX1 in diabetic nephropathy.

Long noncoding RNAs play an important role in several pathogenic processes in diabetic nephropathy, but the relationship with epithelial-mesenchymal transition in DN is unclear. Herein, we found that KIFAP3-5:1 expression was significantly down-regulated in DN plasma samples, db/db mouse kidney tissues and high glucose treated renal tubular epithelial cells compared to normal healthy samples and untreated cells. Overexpression of KIFAP3-5:1 improved renal fibrosis in db/db mice and rescued epithelial-mesenchymal transition of high glucose cultured renal tubular epithelial cells. The silence of KIFAP3-5:1 will exacerbate the progression of EMT. Mechanistically, KIFAP3-5:1 was confirmed to directly target to the -488 to -609 element of the PRRX1 promoter and negatively modulate PRRX1 mRNA and protein expressions. Furthermore, rescue assays demonstrated that the knockdown of PRRX1 counteracted the KIFAP3-5:1 low expression-mediated effects on EMT in hRPTECs cultured under high glucose. The plasma KIFAP3-5:1 of DN patients is highly correlated with the severity of renal dysfunction and plays an important role in the prediction model of DN diseases. These findings suggested that KIFAP3-5:1 plays a critical role in regulation of renal EMT and fibrosis through suppress PRRX1, and highlight the clinical potential of KIFAP3-5:1 to assist in the diagnosis of diabetic nephropathy.

Adaptive spatial-temporal neural network for ADHD identification using functional fMRI.

Computer aided diagnosis methods play an important role in Attention Deficit Hyperactivity Disorder (ADHD) identification. Dynamic functional connectivity (dFC) analysis has been widely used for ADHD diagnosis based on resting-state functional magnetic resonance imaging (rs-fMRI), which can help capture abnormalities of brain activity. However, most existing dFC-based methods only focus on dependencies between two adjacent timestamps, ignoring global dynamic evolution patterns. Furthermore, the majority of these methods fail to adaptively learn dFCs. In this paper, we propose an adaptive spatial-temporal neural network (ASTNet) comprising three modules for ADHD identification based on rs-fMRI time series. Specifically, we first partition rs-fMRI time series into multiple segments using non-overlapping sliding windows. Then, adaptive functional connectivity generation (AFCG) is used to model spatial relationships among regions-of-interest (ROIs) with adaptive dFCs as input. Finally, we employ a temporal dependency mining (TDM) module which combines local and global branches to capture global temporal dependencies from the spatially-dependent pattern sequences. Experimental results on the ADHD-200 dataset demonstrate the superiority of the proposed ASTNet over competing approaches in automated ADHD classification.

Dynamic functional connectivity analysis with temporal convolutional network for attention deficit/hyperactivity disorder identification.

Introduction: Dynamic functional connectivity (dFC), which can capture the abnormality of brain activity over time in resting-state functional magnetic resonance imaging (rs-fMRI) data, has a natural advantage in revealing the abnormal mechanism of brain activity in patients with Attention Deficit/Hyperactivity Disorder (ADHD). Several deep learning methods have been proposed to learn dynamic changes from rs-fMRI for FC analysis, and achieved superior performance than those using static FC. However, most existing methods only consider dependencies of two adjacent timestamps, which is limited when the change is related to the course of many timestamps. Methods: In this paper, we propose a novel Temporal Dependence neural Network (TDNet) for FC representation learning and temporal-dependence relationship tracking from rs-fMRI time series for automated ADHD identification. Specifically, we first partition rs-fMRI time series into a sequence of consecutive and non-overlapping segments. For each segment, we design an FC generation module to learn more discriminative representations to construct dynamic FCs. Then, we employ the Temporal Convolutional Network (TCN) to efficiently capture long-range temporal patterns with dilated convolutions, followed by three fully connected layers for disease prediction. Results: As the results, we found that considering the dynamic characteristics of rs-fMRI time series data is beneficial to obtain better diagnostic performance. In addition, dynamic FC networks generated in a data-driven manner are more informative than those constructed by Pearson correlation coefficients. Discussion: We validate the effectiveness of the proposed approach through extensive experiments on the public ADHD-200 database, and the results demonstrate the superiority of the proposed model over state-of-the-art methods in ADHD identification.

Rice domestication-associated transcription factor PROSTRATE GROWTH 1 controls plant and panicle architecture by regulating the expression of LAZY 1 and OsGIGANTEA, respectively.

Plant architecture and panicle architecture are two critical agronomic traits that greatly affect the yield of rice (Oryza sativa). PROSTRATE GROWTH 1 (PROG1) encodes a key C2H2-type zinc-finger transcription factor and has pleiotropic effects on the regulation of both plant and panicle architecture, thereby influencing the grain yield. However, the molecular mechanisms through which PROG1 controls plant and panicle architecture remain unclear. In this study, we showed that PROG1 directly binds the LAZY 1 (LA1) promoter and acts as a repressor to inhibit LA1 expression. Conversely, LA1 acts as a repressor of PROG1 by directly binding to the PROG1 promoter. These two genes play antagonistic roles in shaping plant architecture by regulating both tiller angle and tiller number. Interestingly, our data showed that PROG1 controls panicle architecture through direct binding to the intragenic regulatory regions of OsGIGANTEA (OsGI) and subsequent activation of its expression. Collectively, we have identified two crucial targets of PROG1, LA1 and OsGI, shedding light on the molecular mechanisms underlying plant and panicle architecture control by PROG1. Our study provides valuable insights into the regulation of key domestication-related traits in rice and identifies potential targets for future high-yield rice breeding.

16α-OHE1, a novel oestrogen metabolite, attenuates dysfunction of left ventricle contractility via regulation of autophagy after myocardial ischemia and reperfusion.

BACKGROUND: Myocardial ischemia-reperfusion (MI/R) can exacerbate the initial cardiac damage in the myocardial functional changes, including dysfunction of left ventricular contractility. Oestrogen has been proven to protect the cardiovascular system. However, whether the oestrogen or its metabolites play the main role in attenuating dysfunction of left ventricular contractility is unknown. METHODS AND RESULTS: This study used the LC-MS/MS to detect oestrogen and its metabolites in clinical serum samples (n = 62) with heart diseases. After correlation analysis with markers of myocardial injury including cTnI (P < 0.01), CK-MB (P < 0.05), and D-Dimer (P < 0.001), 16α-OHE1 was identified. The result from LC-MS/MS in female and ovariectomised (OVX) rat serum samples (n = 5) matched the findings in patients. In MI/R model of animal, the recovery of left ventricular developed pressure (LVDP), rate pressure product (RPP), dp/dtmax and dp/dtmin after MI/R in OVX or male group were worsened than those in female group. Also, the infarction area of OVX or male group was larger than that in females (n = 5, p < 0.01). Furthermore, LC3 II in the left ventricle of OVX and male group was lower than that in females (n = 5, p < 0.01) by immunofluorescence. In H9C2 cells, after the application of 16α-OHE1, the number of autophagosomes was further increased and other organelles improved in MI/R. Simultaneously, LC3 II, Beclin1, ATG5, and p-AMPK/AMPK were increased, and p-mTOR/mTOR was decreased (n = 3, p < 0.01) by Simple Western. CONCLUSION: 16α-OHE1 could attenuate left ventricle contractility dysfunction via autophagy regulation after MI/R, which also offered fresh perspectives on therapeutical treatment for attenuating MI/R injury.

The role of the gut microbiota and fecal microbiota transplantation in neuroimmune diseases.

The gut microbiota plays a key role in the function of the host immune system and neuroimmune diseases. Alterations in the composition of the gut microbiota can lead to pathology and altered formation of microbiota-derived components and metabolites. A series of neuroimmune diseases, such as myasthenia gravis (MG), multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSDs), Guillain-Barré syndrome (GBS), and autoimmune encephalitis (AIE), are associated with changes in the gut microbiota. Microecological therapy by improving the gut microbiota is expected to be an effective measure for treating and preventing some neuroimmune diseases. This article reviews the research progress related to the roles of gut microbiota and fecal microbiota transplantation (FMT) in neuroimmune diseases.

Adsorption and desorption of heavy metals at water sediment interface based on bayesian model.

Estuarine areas are not only the main gathering point for human sewage but also the place where one-way and two-way fluids interact, thus forming a complex and changeable geochemical physical field. Here, heavy metals (HMs) are adsorbed and desorbed due to physical, chemical, and biochemical processes. However, the adsorption and desorption behavior of HMs in the aquatic environment is complex, and physicochemical processes occurring in the estuarine sediment-water interface control the direction and boundaries of the system. This study analyzed the migration and distribution of HMs in rivers and lakes, and established a Bayesian network model to quantitatively understand the impact of nutrients and key environmental factors on the adsorption-desorption behavior of HMs in lake and estuaries, as well as the competitive relationship between environmental factors. The influence of environmental factors and the occurrence of HMs are both important model inputs. Our findings indicated that the migration risk of Cd in Qinghai Lake was high. Environmental factors such as Cation exchange capacity (CEC), Organic matter (OM), Soluble fluoride (SFL), and pH play the most important role in the adsorption and desorption of HMs. Our findings also indicated that the exchange and activity of HMs in sediments were much higher than in the overlying water. The organic matter content was the most complex environmental factor affecting HMS adsorption and desorption at the water-sediment interface. Additionally, the mass concentration of dissolved oxygen (DO) has a linear relationship with bioavailable HMs in river and lake sediments, but has no linear relationship with the concentration of water-soluble HMs. Interestingly, there are synergistic effects between environmental factors, which directly or indirectly affect the release of bioavailable HMs. However, it is important to determine whether the effects of different environmental factors on the exchange of bioavailable HMs are negative or positive. Our findings suggested that Bayesian network (BN) signals (positive or negative) could provide insights into the transfer direction of metals in the water-sediment interface.

Deep convolutional neural networks for regular texture recognition.

Regular textures are frequently found in man-made environments and some biological and physical images. There are a wide range of applications for recognizing and locating regular textures. In this work, we used deep convolutional neural networks (CNNs) as a general method for modelling and classifying regular and irregular textures. We created a new regular texture database and investigated two sets of deep CNNs-based methods for regular and irregular texture classification. First, the classic CNN models (e.g. inception, residual network, etc.) were used in a standard way. These two-class CNN classifiers were trained by fine-tuning networks using our new regular texture database. Next, we transformed the trained filter features of the last convolutional layer into a vector representation using Fisher Vector pooling (FV). Such representations can be efficiently used for a wide range of machine learning tasks such as classification or clustering, thus more transferable from one domain to another. Our experiments show that the standard CNNs attained sufficient accuracy for regular texture recognition tasks. The Fisher representations combined with support vector machine (SVM) also showed high performance for regular and irregular texture classification. We also find CNNs performs sub-optimally for long-range patterns, despite the fact that their fully-connected layers pool local features into a global image representation.

Novel Chalcone BDD-39 Mitigated Diabetic Nephropathy through the Activation of Nrf2/ARE Signaling.

BACKGROUND: In this study, we investigated the Nrf2/ARE signaling pathway activating capacity of Biphenyl Diester Derivative-39 (BDD-39) in diabetic nephropathy in order to elucidate the mechanism surrounding its antidiabetic potential. OBJECTIVES: Protein expressions of Nrf2, HO-1, NQO-1 and biomarkers of kidney fibrosis were executed after which mRNA levels of Nrf2, HO-1 and NQO-1 were estimated after creating the models following BBD-39 treatment. METHODS: Type 2 diabetes model was established in mice with high-fat diet feeding combined with streptozocin intraperitoneal administration. The diabetic mice were then treated with BDD-39 (15, 45mg· kg-1· d-1, ig) or a positive control drug resveratrol (45mg· kg-1·d-1, ig) for 8 weeks. Staining techniques were used to investigate collagen deposition in the glomerulus of the renal cortex and also to investigate the expression and localization of Nrf2 and extracellular matrix (ECM) proteins (collagen IV and laminin) in vitro and in vivo. Furthermore, we studied the mechanism of action of BDD-39 using RNA-mediated Nrf2 silencing technique in mouse SV40 glomerular mesangial cells (SV40 GM cells). RESULTS: We found that BDD-39 activates Nrf2/ARE signaling pathway, promotes Nrf2 nuclear translocation (Nrf2nuc/Nrf2cyt) and modulate prominent biomarkers of kidney fibrosis at the protein level. However, BDD-39 could not activate Nrf2/ARE signaling in RNA-mediated Nrf2-silenced HG-cultured SV40 GM cells. CONCLUSION: Taken together, this study demonstrates for the first time that BDD-39 ameliorates experimental DN through attenuation of renal fibrosis progression and modulation of Nrf2/ARE signaling pathway.

Sarsasapogenin restores podocyte autophagy in diabetic nephropathy by targeting GSK3ß signaling pathway.

Podocyte injury following abnormal podocyte autophagy plays an indispensable role in diabetic nephropathy (DN), therefore, restoration of podocyte autophagy is considered as a feasible strategy for the treatment of DN. Here, we investigated the preventive effects of sarsasapogenin (Sar), the main active ingredient in Anemarrhena asphodeloides Bunge, on the podocyte injury in diabetic rats, and tried to illustrate the mechanisms underlying the effects in high glucose (HG, 40 mM)-treated podocytes (MPs). Diabetes model was established in rats with single streptozocin (60 mg· kg-1) intraperitoneal administration. The rats were then treated with Sar (20, 60 mg· kg-1· d-1, i.g.) or a positive control drug insulin (INS) (40 U· kg-1· d-1, i.h.) for 10 weeks. Our results showed that both Sar and insulin precluded the decreases of autophagy-related proteins (ATG5, Beclin1 and LC3B) and podocyte marker proteins (podocin, nephrin and synaptopodin) in the diabetic kidney. Furthermore, network pharmacology was utilized to assess GSK3ß as the potential target involved in the action of Sar on DN and were substantiated by significant changes of GSK3ß signaling in the diabetic kidney. The underlying protection mechanisms of Sar were explored in HG-treated MPs. Sar (20, 40 µM) or insulin (50 mU/L) significantly increased the expression of autophagy- related proteins and podocyte marker proteins in HG-treated MPs. Furthermore, Sar or insulin treatment efficiently regulatedphosphorylation at activation and inhibition sites of GSK3ß. To sum up, this study certifies that Sar meliorates experimental DN through targeting GSK3ß signaling pathway and restoring podocyte autophagy.

MicroRNA-206 inhibits the proliferation, migration and invasion of colorectal cancer cells by regulating the c-Met/AKT/GSK-3ß pathway.

An imbalance in microRNA (miRNA/miR) expression is closely associated with tumorigenesis and progression. miR-206 is downregulated in different types of tumors, including colorectal cancer (CRC). However, the effects of miR-206 on the progression of CRC, and its underlying molecular mechanisms are yet to be elucidated. The present study aimed to investigate the effects of miR-206 on the proliferation, migration and invasion of colorectal cancer cells, and determine its potential molecular mechanism. The results of the present study demonstrated that the expression levels of miR-206 and c-Met were affected in HCT116 and SW480 cells by transfected with miR-206 mimic, inhibitor or small interfering RNA-c-Met. A Dual-luciferase reporter assay was performed to identify the miRNA targets. Cell proliferation, migration and invasion assays were also performed. The results demonstrated that overexpression of miR-206 significantly decreased the viability of HCT116 and SW480 cells. The results of the Transwell assay indicated that the cell migratory and invasive abilities were inhibited following transfection with miR-206 mimic. As a target of miR-206, knockdown of c-Met significantly suppressed cell viability, migration and invasion. In addition, c-Met knockdown or overexpression of miR-206 inhibited activation of the AKT/GSK-3ß pathway. Collectively, these results suggest that miR-206 suppresses the proliferation, migration and invasion of CRC cells by targeting the c-Met/AKT/GSK-3ß pathway.

Sirt1 inhibits renal tubular cell epithelial-mesenchymal transition through YY1 deacetylation in diabetic nephropathy.

Silent information regulator 1 (Sirt1) is a deacetylase, which plays an important role in the occurrence and development of diabetic nephropathy (DN). Our previous study shows that Yin yang 1 (YY1), a widely expressed zinc finger DNA/RNA-binding transcription factor, is a novel regulator of renal fibrosis in diabetic nephropathy. Since the activity of YY1 is regulated via acetylation and deacetylation modification, this study aimed to explore whether Sirt1-induced deacetylation of YY1 mediated high glucose (HG)-induced renal tubular epithelial-mesenchymal transition (EMT) and renal fibrosis in vivo and in vitro. We first confirmed that Sirt1 expression level was significantly decreased in the kidney of db/db mice and in HG-treated HK-2 cells. Diabetes-induced Sirt1 reduction enhanced the level of YY1 acetylation and renal tubular EMT. Then, we manipulated Sirt1 expression in vivo and in vitro by injecting resveratrol (50 mg·kg-1·d-1. ip) to db/db mice for 2 weeks or application of SRT1720 (2.5 µM) in HG-treated HK-2 cells, we found that activation of Sirt1 reversed the renal tubular EMT and YY1 acetylation induced by HG condition. On the contrary, Sirt1 was knocked down in db/m mice or EX527 (1 µM) was added in HK-2 cells, we found that inhibition of Sirt1 exacerbated renal fibrosis in diabetic mice and enhanced level of YY1 acetylation in HK-2 cells. Furthermore, knockdown of YY1 inhibited the ameliorating effect of resveratrol on renal tubular EMT and renal fibrosis in db/db mice. In conclusion, this study demonstrates that Sirt1 plays an important role in renal tubular EMT of DN through mediating deacetylation of YY1.

The osa-miR164 target OsCUC1 functions redundantly with OsCUC3 in controlling rice meristem/organ boundary specification.

The specification of the meristem/organ boundary is critical for plant development. Here, we investigate two previously uncharacterized NAC transcription factors: the first, OsCUC1, which is negatively regulated by osa-miR164c, dimerizes with the second, OsCUC3, and functions partially redundantly in meristem/organ boundary specification in rice (Oryza sativa). We produced knockout lines for rice OsCUC1 (the homolog of Arabidopsis CUC1 and CUC2) and OsCUC3 (the homolog of Arabidopsis CUC3), as well as an overexpression line for osa-miR164c, to study the molecular mechanism of boundary specification in rice. A single mutation in either OsCUC1 or OsCUC3 leads to defects in the establishment of the meristem/organ boundary, resulting in reduced stamen numbers and the fusion of leaves and filaments, and the defects are greatly enhanced in the double mutant. Transgenic plants overexpressing osa-miR164c showed a phenotype similar to that of the OsCUC1 knockout line. In addition, knockout of OsCUC1 leads to multiple defects, including dwarf plant architecture, male sterility and twisted-rolling leaves. Further study indicated that OsCUC1 physically interacts with leaf-rolling related protein CURLED LEAF AND DWARF 1 (CLD1) and stabilizes it in the nucleus to control leaf morphology. This work demonstrated that the interplay of osa-miR164c, OsCUC1 and OsCUC3 controls boundary specification in rice.

Quercetin Inhibits AQP1 Translocation in High-Glucose-Cultured SRA01/04 Cells Through PI3K/Akt/mTOR Pathway.

OBJECTIVE: The study aimed to investigate the effects of quercetin on Aquaporin 1 (AQP1) translocation in high glucose condition and made an attempt to clarify the underlying mechanisms and provide new ideas for the treatment of diabetic cataract (DC). METHODS: The human lens epithelial line SRA01/04 cells were divided into groups mentioned below: normal glucose, high glucose with a specific time (0 h, 2 h, 4 h, 8 h, 12 h, 24 h), high glucose plus the phosphoinositide 3-kinase (PI3K) inhibitor LY294002, high glucose plus the mammalian target of rapamycin (mTOR) inhibitor rapamycin, and high glucose plus quercetin with different doses (2 µmol/L, 4 µmol/L and 8 µmol/L). The western blotting assay was used to detect the protein kinase B (Akt), phosphorylated protein kinase B (p-Akt), mammalian target of rapamycin (m- TOR), phosphorylated mammalian target of rapamycin (p-mTOR) and AQP1. Real-time polymerase chain reaction (RT-PCR) was used to detect the expression of AQP1. A Membrane and Cytosol Protein Extraction Kit was applied to separate membrane proteins. Immunofluorescence assay was performed to evaluate the expression and location of AQP1. The effect of quercetin on the expression of AQP1 and PI3K/Akt/mTOR signaling was detected. RESULTS: AQP1 protein was found to be significantly increased in 24 hour when exposed to high glucose condition (P<0.01). LY294002 and rapamycin inhibited PI3K/Akt/mTOR and AQP1 expression (P<0.01), preventing the change of AQP1 location in the SRA01/04 plasma membrane (P<0.01). This effect was further proved by immunofluorescence. In different doses of quercetin groups (2 µmol/L, 4 µmol/L and 8 µmol/L), the phosphorylation of mTOR and Akt were decreased and AQP1 in the membrane was changed compared with high glucose group (P<0.01). CONCLUSION: Quercetin significantly decreased the AQP1 elevation and prevented the change of AQP1 location through inhibiting the activation of the PI3K/Akt/mTOR signaling in high-glucose-- cultured SRA01/04 cells, which might have the preventable and inhibitory effects on the early development of diabetic cataract. The specific pathophysiological role of quercetin still needs to be verified.

Quercetin Attenuates Podocyte Apoptosis of Diabetic Nephropathy Through Targeting EGFR Signaling.

Podocytes injury is one of the leading causes of proteinuria in patients with diabetic nephropathy (DN), and is accompanied by podocytes apoptosis and the reduction of podocyte markers such as synaptopodin and nephrin. Therefore, attenuation of podocyte apoptosis is considered as an effective strategy to prevent the proteinuria in DN. In this study, we evaluated the anti-podocyte-apoptosis effect of quercetin which is a flavonol compound possessing an important role in prevention and treatment of DN and verified the effect by using db/db mice and high glucose (HG)-induced mouse podocytes (MPs). The results show that administration of quercetin attenuated the level of podocyte apoptosis by decreasing the expression of pro-apoptotic protein Bax, cleaved caspase 3 and increasing the expression of anti-apoptotic protein Bcl-2 in the db/db mice and HG-induced MPs. Furthermore, epidermal growth factor receptor (EGFR) was predicted to be the potential physiological target of quercetin by network pharmacology. In vitro and vivo experiments confirmed that quercetin inhibited activation of the EGFR signaling pathway by decreasing phosphorylation of EGFR and ERK1/2. Taken together, this study demonstrates that quercetin attenuated podocyte apoptosis through inhibiting EGFR signaling pathway, which provided a novel approach for further research of the mechanism of quercetin in the treatment of DN.

YAP mediates the interaction between the Hippo and PI3K/Akt pathways in mesangial cell proliferation in diabetic nephropathy.

AIMS: Glomerular mesangial cell (MC) proliferation is one of the main pathological changes in diabetic nephropathy (DN), but its mechanism needs further elaboration. The Hippo and PI3K/Akt signalling pathways are involved in the regulation of MC proliferation, but their relationship in hyperglycaemia-induced MC proliferation has not been reported. METHODS: We used db/db mice and high-glucose-cultured mesangial cells to generate a diabetic nephropathy model. An MST1-knockdown plasmid was used to identify whether the PI3K/Akt pathway is linked to the Hippo pathway through MST1. LY294002 and SC79 were used to verify the role of the PI3K/Akt signalling pathway in MC cells. RNA silencing and overexpression were performed by using YAP and PTEN-expression/knockdown plasmids to investigate the function of YAP and PTEN, respectively, in the Hippo and PI3K/Akt signalling pathways. RESULTS: By examining a potential feedback loop, we found decreased phosphorylation of MST1 and Lats1 and increased PI3K/Akt activation in db/db mice and high glucose-treated MCs, along with increased MC proliferation. The results of our gene silencing experiment proved PI3K/Akt-mediated intervention in the Hippo pathway and the regulatory effect of YAP on PI3K/Akt through PTEN. CONCLUSIONS: The Hippo pathway is inhibited under diabetic conditions, leading to YAP activation and promoting MC proliferation. The PI3K/Akt pathway is activated through the inhibitory effect of YAP on its repressor, PTEN. Finally, activation of the PI3K/Akt pathway inhibits the Hippo pathway, resulting in nuclear YAP accumulation and accelerating MC proliferation and DN formation.

Predictive factors associated with glycaemic response to exenatide in Chinese patients with type 2 diabetes mellitus.

WHAT IS KNOWN AND OBJECTIVE: Exenatide is widely used in the treatment of type 2 diabetes mellitus (T2DM) because of its established effect on lowering glucose and promotion of weight loss. However, therapeutic response to exenatide varies considerably among patients with T2DM. The purpose of this study was to determine which variables can predict the response to exenatide and to individualize specific therapies for patients with T2DM who need treatment with exenatide. METHODS: This is a retrospective cohort study of patients with T2DM who were treated with exenatide twice daily as a part of their diabetes care for at least 12 months. Patients were categorized into two cohorts based on glycaemic response to exenatide use: responders and non-responders. RESULTS AND DISCUSSION: One hundred forty-eight patients met the inclusion criteria; among them, 92 responded with an HbA1C reduction ≥1.0% from baseline HbA1C and 56 did not respond to exenatide after 6 months of exenatide treatment. Binary logistic regression analysis revealed that baseline HbA1C and duration of diabetes were identified as predictors of HbA1C reduction ≥1% at 6 months (P < .05). Linear regression analysis further identified that patients with a higher baseline HbA1C (≥7.4%) and shorter duration of diabetes (≤15.0 years) were likely to respond to exenatide, whereas those with a lower baseline HbA1C (<7.4%) and longer duration of diabetes (>15.0 years) were not likely to respond to exenatide. WHAT IS NEW AND CONCLUSION: Our data indicate that T2DM patients with a higher baseline HbA1C and a shorter duration of diabetes are more likely to have a glycaemic response to exenatide than those with a lower baseline HbA1C and a longer duration of diabetes. The identification of predictors of therapeutic response to exenatide can provide clinically useful information for characterizing the patients who could receive the greatest benefit from exenatide.

Folic acid supplementation regulates milk production variables, metabolic associated genes and pathways in perinatal Holsteins.

Perinatal period is the critical time in dairy cattle due to negative energy balance and high milk production stress. Being a key role in biosynthesis and methylation cycle, folic acid is considered essential for lactational and metabolic performance in dairy cattle. Thus, the current study was designed to evaluate the effect of folic acid supplementation on milk production phenotypic traits in periparturient cows. Transcriptomic screening was performed for milk production and metabolism-associated differentially expressed genes. The 123 cows having similar parity, weight and expected date of calving were randomly selected and divided into three groups; A (n = 41, folic acid 240 mg/500 kg cow/day), B (n = 40, FA 120 mg/500 kg cow/day) and C (Control, n = 42). Folic acid was supplemented for 21 days (14 days pre- and seven days post-calving), and three samples of blood lymphocytes were taken on day seven post-calving from each folic acid-treated and control group. In addition, the milk samples for each folic acid-treated group have been collected at 2nd, 3rd and 4th month of lactation. The increase in average milk yield noticed in group B were significantly (p-value < .05) higher than C and A. However, the data showed no noteworthy differences for milk fat and milk protein among the three groups. The transcriptomic analysis revealed that folic acid treatment regulated many key metabolic-related genes (DGAT2, ALOX5, LAP3, GPAT3, GGH, ALDOA, TKT) and pathways (glycolysis, folate biosynthesis, glutathione metabolism, etc.) in periparturient dairy cattle. It was concluded from the above findings that 120 mg/500 kg of folic acid quantity could be considered as a standard during the periparturient period to enhance the milk production performance of dairy cows. The transcriptomic profile revealed several metabolic and milk production-associated genes which could be a useful addition to the marker selection for the enhancement of metabolism and milk production of periparturient dairy cows.

Correction to: novel biphenyl diester derivative AB-38b inhibits NLRP3 inflammasome through Nrf2 activation in diabetic nephropathy.

Unfortunately, there are some tiny errors in the data for Fig. 1a-c and Fig. 2a-e in the published online paper. Please see the correct relative data in Tables 3 and 4 given in the next page. These errors does not interfere the results and conclusions of authors study.