E3 ubiquitin ligase RNF128 negatively regulates the IL-3/STAT5 signaling pathway by facilitating K27-linked polyubiquitination of IL-3Rα.

IL-3/STAT5 signaling pathway is crucial for the development and activation of immune cells, contributing to the cellular response to infections and inflammatory stimuli. Dysregulation of the IL-3/STAT5 signaling have been associated with inflammatory and autoimmune diseases characterized by inflammatory cell infiltration and organ damage. IL-3 receptor α (IL-3Rα) specifically binds to IL-3 and initiates intracellular signaling, resulting in the phosphorylation of STAT5. However, the regulatory mechanisms of IL-3Rα remain unclear. Here, we identified the E3 ubiquitin ligase RNF128 as a negative regulator of IL-3/STAT5 signaling by targeting IL-3Rα for lysosomal degradation. RNF128 was shown to selectively bind to IL-3Rα, without interacting with the common beta chain IL-3Rß, which shares the subunit with GM-CSF. The deficiency of Rnf128 had no effect on GM-CSF-induced phosphorylation of Stat5, but it resulted in heightened Il-3-triggered activation of Stat5 and increased transcription of the Id1, Pim1, and Cd69 genes. Furthermore, we found that RNF128 promoted the K27-linked polyubiquitination of IL-3Rα in a ligase activity-dependent manner, ultimately facilitating its degradation through the lysosomal pathway. RNF128 inhibited the activation and chemotaxis of macrophages in response to LPS stimulation, thereby attenuating excessive inflammatory responses. Collectively, these results reveal that RNF128 negatively regulates the IL-3/STAT5 signaling pathway by facilitating K27-linked polyubiquitination of IL-3Rα. This study uncovers E3 ubiquitin ligase RNF128 as a novel regulator of the IL-3/STAT5 signaling pathway, providing potential molecular targets for the treatment of inflammatory diseases.

Synergistic use of photocatalysis and convergent paired electrolysis for nickel-catalyzed arylation of cyclic alcohols.

The merging of transition metal catalysis with electrochemistry has become a powerful tool for organic synthesis because catalysts can govern the reactivity and selectivity. However, coupling catalysts with alkyl radical species generated by anodic oxidation remains challenging because of electrode passivation, dimerization, and overoxidation. In this study, we developed convergent paired electrolysis for the coupling of nickel catalysts with alkyl radicals derived from photoinduced ligand-to-metal charge-transfer of cyclic alcohols and iron catalysts, providing a practical method for site-specific and remote arylation of ketones. The synergistic use of photocatalysis with convergent paired electrolysis can provide alternative avenues for metal-catalyzed radical coupling reactions.

Factors influencing short-term prognosis after botulinum toxin type A treatment for hemifacial spasm：A retrospective study.

Background: It is widely acknowledged that botulinum toxin type A (BTX-A) has been widely used in the treatment of hemifacial spasm (HFS). However, there is currently a lack of systematic analysis of the factors affecting its therapeutic effect. Therefore, this study aims to explore the influencing factors of BTX-A in the treatment of HFS and to identify risk factors for poor prognosis. Methods: Retrospective study including 118 patients with HFS treated with BTX-A from 2019 January to 2023 April. Demographic and etiological variables as well as doses, number of sessions of BTX-A, infiltrated muscles, therapeutic response according to the Cohen evaluation scale, and side effects were analyzed. Logistic regression analysis was performed to identify the factors that are associated with the short-term prognosis of BTX-A for the treatment of HFS. Results: Among the 118 patients with HFS included in this study, 57 achieved complete relief, 51 had significant relief, 7 had partial relief, and no improvement was observed in 3. The overall effective rate was 91.53 %. Results from the univariate analysis indicated that male, drinking, diabetes, and hypertension were all associated with poor short-term prognosis of BTX-A in the treatment of HFS. Multivariable logistic regression analysis further revealed that hypertension was an independent risk factor for poor short-term prognosis following BTX-A treatment for HFS (OR=5.847, P<0.05). Conclusion: BTX-A was effective in treating HFS and had minimal adverse effects. Hypertension was an independent risk factor for poor short-term prognosis following BTX-A treatment of HFS.

Predicting Diagnostic Biomarkers Associated with Pyroptosis in Neuropathic Pain Based on Machine Learning and Experimental Validation.

Purpose: Previous studies have shown that pyroptosis plays a vital role in the progress of neuropathic pain (NP), but the molecular mechanisms have not been fully elucidated. The aim of this study was to identify crucial pyroptosis-related genes (PRGs) in NP. Methods: We identified pyroptosis-related differentially expressed genes (PRDEGs) in NP by machine learning analysis of the GSE24982 and GSE60670 datasets. Furthermore, these PRDEGs were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Gene Set Enrichment Analysis (GSEA) and Friends analysis, respectively. Meanwhile, receiver operator characteristic (ROC) analysis was performed to assess the diagnostic value of PRDEGs in NP. Finally, we performed immune infiltration analysis of key PRDEGs using CIBERSORTR R package. Results: We found that 5 PRDEGs by least absolute shrinkage and selection operator (LASSO) regression and random forest and verified by RT-qPCR. GO, KEGG and GSEA revealed that these PRDEGs were mainly enriched in regulation of neuron death, IL-4 signaling, IL-23 pathway, and NF-κB pathway. ROC analysis revealed that most of the PRDEGs performed well in diagnosing NP. We also revealed transcription factors, miRNA regulatory networks and drug interaction networks of PRDEGs. For immune infiltration analysis, PRDEGs were mainly correlated with dendritic cells, monocytes and follicular T helper cells, suggested that it might be involved in the regulation of neuroimmune-related signaling. Conclusion: A total of five PRDEGs were can be employed as NP biomarkers, particularly Tlr4, Il1b and Casp8, and provide additional evidence for a vital role of pyroptosis in NP.

Subtle structural alteration in indisulam switches the molecular mechanisms for the inhibitory effect on the migration of gastric cancer cells.

Gastric cancer is a highly metastatic malignant tumor with high morbidity and mortality globally. Recent studies reported that sulfonamide derivatives such as indisulam exhibited inhibitory effects on the viability and migration of cancer cells. However, multiple clinical trials revealed that indisulam did not significantly prevent cancer progression due to metastasis and drug resistance. Therefore, it is necessary to discover new potent derivatives to explore alternative therapeutic strategies. Here, we synthesize multiple indisulam derivatives and examine their inhibitory effects on the viability and migration of gastric cancer cells. Among them, compounds SR-3-65 and WXM-1-170 exhibit better inhibitory effects on the migration of gastric cancer cells than indisulam. Mechanistically, we discover that they could attenuate the PI3K/AKT/GSK-3ß/ß-catenin signaling pathway and lead to the suppression of epithelial-to-mesenchymal transition (EMT)-related transcription factors. The influence of SR-3-65 on the migration of gastric cancer cells is blocked by the PI3K inhibitor LY294002 while SR-3-65 and WXM-1-170 reverse the effect of PI3K activator 740 Y-P on the migration of gastric cancer cells. Molecular docking and molecular dynamics simulation further confirm that PI3K is the target of SR-3-65. Our study unveils a novel mechanism by which SR-3-65 and WXM-1-170 inhibit the migration of gastric cancer cells. Together with the previous discovery, we reveal that subtle structural change in indisulam results in a striking switch on the molecular targets and their associated signaling pathways for the inhibition of the migration of gastric cancer cells. These findings might provide informative insights for the development of targeted therapy for gastric cancer.

Identification of Spiro[chromene-2,4'-piperidine]s as Potent, Selective, and Gq-Biased 5-HT2C Receptor Partial Agonists.

A series of spiropiperidines was designed and synthesized by structural modifications based on our previous lead compound 1 and evaluated with cellular signaling assays for the discovery of 5-HT2C receptor (5-HT2CR) selective agonists with a Gq bias. Structure-activity relationship (SAR) studies of spiropiperidines uncovered spiro[chromene-2,4'-piperidine]s as a novel chemotype of 5-HT2CR selective agonists. Among this new series, the 7-chloro analogue 8 was identified as the most potent and selective 5-HT2CR partial agonist (Emax = 71.09%) with an EC50 value of 121.5 nM and no observed activity toward 5-HT2AR or 5-HT2BR. Moreover, compound 8 exhibited no recruitment activity for ß-arrestin and showed low inhibition of hERG at 10 µM. These findings may pave the way to develop more potent Gq-biased 5-HT2CR partial agonists as useful pharmacological tool compounds or potential drug candidates.

Interaction between diabetes and body mass index on severe headache or migraine in adults: a cross-sectional study.

BACKGROUND: Research on the effects of body mass index (BMI) on severe headache or migraine is limited and controversial. The aim of this study was to explore the association between BMI and the prevalence of migraine, with particular interest in diabetes status difference. METHODS: The present study used analyzed data from people who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2004. Logistic regression models and restricted cubic spline (RCS) models were applied to investigate the relationship between body mass index and migraine. RESULTS: A total of 10,074 adults aged 20 years or older were included in this study. Body mass index was positively related to migraine, and the corresponding odds ratio (OR; 95% CI) was 1.02 (1.01, 1.03; p < 0.001). And compared to participants in the lowest group of body mass index (< 25 kg/m2), the adjusted ORs for migraine in medium group (25-29.9 kg/m2), and highest group (≥ 30 kg/m2) were 1.14 (95% CI: 0.98-1.32, p = 0.09) and 1.30 (95% CI: 1.11-1.52, p = 0.0022), respectively. The relationship between BMI and migraine exhibited a linear in overall in the RCS. Our findings also suggested an interaction between BMI and diabetes. The relationship between BMI and migraine in adults with diabetes was non-linear. The OR of developing migraine was 1.30 (95% CI: 1.10-1.54) in individuals with BMI ≥ 29.71 kg/m2 in adults with diabetes. CONCLUSION: A higher body mass index is significantly associated with an increased prevalence of migraine, and diabetes status can modify the association between them.

Construction of a depression risk prediction model for type 2 diabetes mellitus patients based on NHANES 2007-2014.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a prevalent global health issue that has been linked to an increased risk of depression. The objective of this study was to construct a nomogram model for predicting depression in T2DM patients. METHODS: A total of 4280 patients with T2DM were included in this study from the 2007-2014 NHANES. The entire dataset was split randomly into training set comprising 70 % of the data and a validation set comprising 30 % of the data. LASSO and multivariate logistic regression analyses identified predictors significantly associated with depression, and the nomogram was constructed with these predictors. The model was assessed by C-index, calibration curve, the hosmer-lemeshow test and decision curve analysis (DCA). RESULTS: The nomogram model comprised of 9 predictors, namely age, gender, PIR, BMI, education attainment, smoking status, LDL-C, sleep duration and sleep disorder. The C-index of the training set was 0.780, while that of the validation set was 0.752, indicating favorable discrimination for the model. The model exhibited excellent clinical applicability and calibration in both the training and validation datasets. Moreover, the cut-off value of the nomogram is 223. LIMITATIONS: This study has shortcomings in data collection, lack of external validation, and results non-extrapolation. CONCLUSIONS: Our nomogram exhibits high clinical predictability, enabling clinicians to utilize this tool in identifying high-risk depressed patients with T2DM. It has the potential to decrease the incidence of depression and significantly improve the prognosis of patients with T2DM.

Design and Characterization of a Novel eEF2K Degrader with Potent Therapeutic Efficacy Against Triple-Negative Breast Cancer.

Dysregulated eEF2K expression is implicated in the pathogenesis of many human cancers, including triple-negative breast cancer (TNBC), making it a plausible therapeutic target. However, specific eEF2K inhibitors with potent anti-cancer activity have not been available so far. Targeted protein degradation has emerged as a new strategy for drug discovery. In this study, a novel small molecule chemical is designed and synthesized, named as compound C1, which shows potent activity in degrading eEF2K. C1 selectively binds to F8, L10, R144, C146, E229, and Y236 of the eEF2K protein and promotes its proteasomal degradation by increasing the interaction between eEF2K and the ubiquitin E3 ligase ßTRCP in the form of molecular glue. C1 significantly inhibits the proliferation and metastasis of TNBC cells both in vitro and in vivo and in TNBC patient-derived organoids, and these antitumor effects are attributed to the degradation of eEF2K by C1. Additionally, combination treatment of C1 with paclitaxel, a commonly used chemotherapeutic drug, exhibits synergistic anti-tumor effects against TNBC. This study not only generates a powerful research tool to investigate the therapeutic potential of targeting eEF2K, but also provides a promising lead compound for developing novel drugs for the treatment of TNBC and other cancers.

Association between dietary folate intake and severe headache among adults in the USA: a cross-sectional survey.

Folate, also known as vitamin B9, is a water-soluble vitamin. Previous studies on dietary folate intake in severe headache patients were equivocal. Therefore, we conducted a cross-sectional study to elucidate the relationship between folate intake and severe headache. This cross-sectional study used data from participants over 20 years old who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2004. The diagnosis of severe headache was made through participants' self-report in the NHANES questionnaire section. We performed multivariate logistic regression and restricted cubic spline (RCS) regression to explore the relationship between folate intake and severe headache. A total of 9859 participants took part in the study, 1965 of whom were severe headache patients and the rest were non-severe headache. We found that dietary folate intake was significantly and inversely associated with severe headache. Compared with participants with lower folate intake Q1 (≤ 229·97 ug/d), the adjusted OR values for dietary folate intake and severe headache in Q2 (229·98-337 ug/d), Q3 (337·01-485 ug/d) and Q4 (≥ 485·01 ug/d) were 0·81 (95 % CI: 0·67, 0·98, P = 0·03), 0·93 (95 % CI: 0·77, 1·12, P = 0·41) and 0·63 (95 % CI: 0·49, 0·80, P < 0·001), respectively. For women aged 20-50 years, there was a non-linear association between folate intake and severe headache in the RCS. Women aged 20-50 years should have higher awareness of dietary folate and increase their dietary intake of folate, which may aid in preventing severe headache.

Perioperative use of low dose haloperidol safely reduces episodes of postoperative nausea/vomiting and length of stay following elective minimally invasive bariatric surgery.

INTRODUCTION: While total intravenous anesthesia (TIVA) protocols include Dexamethasone and Ondansetron prophylaxis, bariatric patients continue to be considered at particularly high risk for postoperative nausea/vomiting (PONV). A multimodal approach for prophylaxis is recommended by the Bariatric Enhanced Recovery After Surgery (ERAS) Society however, there remains a lack of consensus on the optimal strategy to manage PONV in these patients. Haloperidol has been shown at low doses to have a therapeutic effect in treatment of refractory nausea and in PONV prophylaxis in other high risk surgical populations. We sought to investigate its efficacy as a prophylactic medication for PONV in the bariatric population and to identify which perioperative strategies were most effective at reducing episodes of PONV. METHODS: An institutional bariatric database was created by retrospectively reviewing patients undergoing elective minimally invasive bariatric procedures from 2018 to 2022. Demographic data reviewed included age, gender, preoperative body mass index (BMI), ethnicity, and primary language. Primary endpoints included patient reported episodes of PONV, total doses of Ondansetron administered, need for a second antiemetic (rescue medication), complication rate (most commonly readmission within 30 days), and length of stay. Fisher's exact test, Mann-Whitney test, and ANOVA were used to evaluate the effect of perioperative management on various endpoints. RESULTS: A total of 475 patients were analyzed with Haloperidol being utilized in 15.8% of all patients. Patients receiving Haloperidol were less likely to require Ondansetron outside of the immediate perioperative period (34.7% vs. 49.8%, p = 0.02), experienced less PONV (41.3% vs. 64.3%, p = 0.01) and also had a decreased median length of stay (27.3 vs. 35.8 h, p < 0.0001). CONCLUSIONS: Addition of low dose Haloperidol to Bariatric ERAS protocols decreases incidence of PONV and the need for additional antiemetic coverage resulting in a significantly shorter length of stay, increasing the likelihood of safe discharge on postoperative day 1.

Rational Manipulation of Active CNT Encapsulated Fe Doped NiCoP Nanoparticles In Situ Grown in Hierarchically Carbonized Wood for High-Current-Density Water Splitting.

Precise morphology design and electronic structure regulation are critically significant to promote catalytic activity and stability for electrochemical hydrogen production at high current density. Herein, the carbon nanotube (CNT) encapsulated Fe-doped NiCoP nanoparticles is in-situ grown in hierarchical carbonized wood (NCF0.5 P@CNT/CW) for water splitting. Coupling merits of porous carbonized wood (CW) substrate, CNT encapsulating and Fe doping, the NCF0.5 P@CNT/CW features remarkable and durable electrocatalytic activity. The overpotentials of NCF0.5 P@CNT/CW at 50 mA cm-2 mV and 205 mV for oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) and features high current density of 800 mA cm-2 within 300 mV for both OER and HER. Moreover, NCF0.5 P@CNT/CW displays outstanding overall water splitting performance (η50 = 1.62 V and η100 = 1.67 V), outperforming Pt/C║RuO2 (η50 = 1.74 V), and can achieve the current density of 700 mA cm-2 at a lower cell voltage of 1.78 V. Overpotential is only 4.0 % decay after 120 h measurement at 50 mA cm-2 . Density functional theory (DFT) calculations reveals Fe doping optimizes the binding energy and Gibbs free energy of intermediates, and regulates d-band center of NCF0.5 P@CNT/CW. Such synergistic strategy of morphology manipulation and electronic structure optimization provides a spark for developing effective and robust bifunctional catalysts.

Vitamin B6 and folate intake are associated with lower risk of severe headache or migraine in adults: An analysis based on NHANES 1999-2004.

Previous studies have shown that B vitamins can relieve migraine. However, the association between vitamin B6 and folate, 2 important B vitamins consumed in the diet, with migraine have received minimal attention. This study explored the independent relationships between dietary vitamin B6 and folate intake with migraine and the interaction effect of these 2 nutrients on migraine in US adults. We hypothesized that vitamin B6 and folate intake would be inversely associated with migraine. This study included cross-sectional data from participants aged 20 years and older who participated in the National Health and Nutrition Examination Survey from 1999 to 2004. We conducted multivariate logistic regression and restricted cubic spline regression to explore the association between dietary vitamin B6 and folate intake on migraine. Also, relative excess risk due to interaction, attributable proportion of interaction, and synergy index were used to assess additive interactions. A total of 7017 participants were included in this study, 1350 of whom were migraineurs. We determined that vitamin B6 and folate intake revealed a negative association with severe headache or migraine (0.66; 95% confidence interval [CI], 0.47-0.89; P = .01 and 0.57; 95% CI, 0.42-0.78; P = .002]), respectively. Also, a significant interaction effect between a high mass of vitamin B6 and folate intake was observed for a lower risk of migraine (relative excess risk due to interaction, 0.28 [95% CI, 0.05-0.51]; attributable proportion of interaction: 0.45 [95% CI, 0.05-0.86]; synergy index: 0.58 [95% CI, 0.40-0.83]). A high mass of vitamin B6 and folate intake (vitamin B6 intake ≥ 2.39 mg/day and folate intake ≥ 502.01 µg/day) presented a synergistic interaction with migraine, suggesting that these 2 nutrients might be beneficial in preventing migraine.

Novel heterogeneous Fe-based catalysts for carbon dioxide hydrogenation to long chain α-olefins-A review.

The thermocatalytic conversion of carbon dioxide (CO2) into high value-added chemicals provides a strategy to address the environmental problems caused by excessive carbon emissions and the sustainable production of chemicals. Significant progress has been made in the CO2 hydrogenation to long chain α-olefins, but controlling C-O activation and C-C coupling remains a great challenge. This review focuses on the recent advances in catalyst design concepts for the synthesis of long chain α-olefins from CO2 hydrogenation. We have systematically summarized and analyzed the ingenious design of catalysts, reaction mechanisms, the interaction between active sites and supports, structure-activity relationship, influence of reaction process parameters on catalyst performance, and catalyst stability, as well as the regeneration methods. Meanwhile, the challenges in the development of the long chain α-olefins synthesis from CO2 hydrogenation are proposed, and the future development opportunities are prospected. The aim of this review is to provide a comprehensive perspective on long chain α-olefins synthesis from CO2 hydrogenation to inspire the invention of novel catalysts and accelerate the development of this process.

[Risk factors and prognosis of preoperative herat failure after hip fracture].

OBJECTIVE: To explore incidence, risk factors and the relationship between preoperative heart failure and prognosis in elderly patients with hip fracture. METHODS: A retrospective analysis was performed on 1 569 elderly patients with hip fracture treated from January 2012 to December 2019, including 522 males and 1 047 females, aged 81.00 (75.00, 90.00) years old;896 intertrochanteric fractures and 673 femoral neck fractures. Patients were divided into heart failure and non-heart failure groups according to whether they developed heart failure before surgery, and heart failure was set as the dependent variable, with independent variables including age, gender, fracture type, comorbidities and hematological indicators, etc. Univariate analysis was performed at first, and independent variables with statistical differences were included in multivariate Logistic regression analysis. Independent risk factors for preoperative heart failure were obtained. The length of hospital stay, perioperative complications, mortality at 30 days and 1 year after surgery were compared between heart failure and non-heart failure groups. RESULTS: There were 91 patients in heart failure group, including 40 males and 51 females, aged 82.00 (79.00, 87.00) years old;55 patients with intertrochanteric fracture and 36 patients with femoral neck fracture. There were 1 478 patients in non-heart failure groups, including 482 males and 996 females, aged 81.00(75.00, 86.00) years old;841 patients with intertrochanteric fracture and 637 patients with femoral neck fracture. There were significant differences in age, sex, coronary heart disease, arrhythmia and dementia between two groups(P<0.05). Multivariate Logistic analysis of statistically significant factors showed that males(OR=1.609, P=0.032), age(OR=1.032, P=0.031), arrhythmia(OR=2.045, P=0.006), dementia (OR=2.106, P=0.014) were independent risk factor for preoperative heart failure. The 30-day and 1-year mortality rates were 9.9% and 26.4% in heart failure group and 3.6% and 13.8% in non-heart failure group, respectively;and had statistical significance between two groups (P<0.05). There were significant differences in pulmonary infection, cerebrovascular complications and cardiovascular complications between two groups (P<0.05). The duration of hospitalization in heart failure group was (16.21±10.64) d compared with that in non-heart failure group (13.26±8.00) d, and the difference was statistically significant (t=2.513, P=0.012). CONCLUSION: Male, old age, arrhythmia and dementia are independent risk factors for heart failure after hip fracture in elderly patients. Patients with preoperative heart failure have a higher incidence of postoperative pulmonary infection, cerebrovascular and cardiovascular complications, higher mortality at 30 d and 1 year after surgery, and longer hospital stay.

Effects of vitamin D supplementation on glucose and lipid metabolism in patients with type 2 diabetes mellitus and risk factors for insulin resistance.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease featured by insulin resistance (IR) and decreased insulin secretion. Currently, vitamin D deficiency is found in most patients with T2DM, but the relationship between vitamin D and IR in T2DM patients requires further investigation. AIM: To explore the risk factors of IR and the effects of vitamin D supplementation on glucose and lipid metabolism in patients with T2DM. METHODS: Clinical data of 162 T2DM patients treated in First Affiliated Hospital of Harbin Medical University between January 2019 and February 2022 were retrospectively analyzed. Based on the diagnostic criteria of IR, the patients were divided into a resistance group (n = 100) and a non-resistance group (n = 62). Subsequently, patients in the resistance group were subdivided to a conventional group (n = 44) or a joint group (n = 56) according to the treatment regimens. Logistic regression was carried out to analyze the risk factors of IR in T2DM patients. The changes in glucose and lipid metabolism indexes in T2DM patients with vitamin D deficiency were evaluated after the treatment. RESULTS: Notable differences were observed in age and body mass index (BMI) between the resistance group and the non-resistance group (both P < 0.05). The resistance group exhibited a lower 25-hydroxyvitamin D3 (25(OH)D3) level, as well as notably higher levels of 2-h postprandial blood glucose (2hPG), fasting blood glucose (FBG), and glycosylated hemoglobin (HbA1c) than the non-resistance group (all P < 0.0001). Additionally, the resistance group demonstrated a higher triglyceride (TG) level but a lower high-density lipoprotein-cholesterol (HDL-C) level than the non-resistance group (all P < 0.0001). The BMI, TG, HDL-C, 25(OH)D3, 2hPG, and HbA1c were found to be risk factors of IR. Moreover, the post-treatment changes in levels of 25(OH)D3, 2hPG, FBG and HbA1c, as well as TG, total cholesterol, and HDL-C in the joint group were more significant than those in the conventional group (all P < 0.05). CONCLUSION: Patients with IR exhibit significant abnormalities in glucose and lipid metabolism parameters compared to the non-insulin resistant group. Logistic regression analysis revealed that 25(OH)D3 is an independent risk factor influencing IR. Supplementation of vitamin D has been shown to improve glucose and lipid metabolism in patients with IR and T2DM.

Enantioselective Reductive Cross-Couplings of Olefins by Merging Electrochemistry with Nickel Catalysis.

The merger of electrochemistry and transition metal catalysis has emerged as a powerful tool to join two electrophiles in an enantioselective manner. However, the development of enantioselective electroreductive cross-couplings of olefins remains a challenge. Inspired by the advantages of the synergistic use of electrochemistry with nickel catalysis, we present here a Ni-catalyzed enantioselective electroreductive cross-coupling of acrylates with aryl halides and alkyl bromides, which affords chiral α-aryl carbonyls in good to excellent enantioselectivity. Additionally, this catalytic reaction can be applied to (hetero)aryl chlorides, which is difficult to achieve by other methods. The combination of cyclic voltammetry analysis with electrode potential studies suggests that the NiI species activates aryl halides by oxidative addition and alkyl bromides by single-electron transfer.

New species of Gyrodactylus von Nordmann, 1832 (Monogenoidea: Gyrodactylidae) from Gymnodiptychus dybowskii (Kessler, 1874) (Schizothoracinae) in the Kunes River (Yili River basin), China.

Yili River system hosts a diverse fauna of fishes and parasites. Gymnodiptychus dybowskii is a rare and endangered aboriginal cold-water fish inhabit in the Yili river system. Our research identified a new species Gyrodactylus gymnodiptychi n. sp. isolated from G. dybowskii in the Kunes River (Yili River, China). Morphological comparison revealed identifiable differences between the new species and other parasites, including Gyrodactylus aksuensis, and Gyrodactylus tokobaevi, which are two known parasites living in G. dybowskii inhabit in the Aksu River west of Frunze (Kyrgyzstan), as well as Gyrodactylus montanus living in Shizothorax intermedius inhabited in the Tadzhikistan or Uzbekistan. Especially, the dorsal bar of G. gymnodiptychi n. sp. was raised at both ends with a hollow, and its hamulus roots were curved inward. The BLASTN search of GenBank did not detect any other ITS1-5.8S-ITS2 rDNA sequences same as G. gymnodiptychi's. Using the Bayesian Information and Maximum Likelihood methods to analyze the ITS1-5.8S-ITS2 rDNA gene sequences, we constructed phylogenetic trees for G. gymnodiptychi n. sp. Accordingly, our morphological and molecular research indicated that G. gymnodiptychi n. sp. was not only a new species of parasites but also the first Gyrodactylus member identified in the Yili River in China.

scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.

Single-cell RNA sequencing (scRNA-seq) has rapidly emerged as a powerful technique for analyzing cellular heterogeneity at the individual cell level. In the analysis of scRNA-seq data, cell clustering is a critical step in downstream analysis, as it enables the identification of cell types and the discovery of novel cell subtypes. However, the characteristics of scRNA-seq data, such as high dimensionality and sparsity, dropout events and batch effects, present significant computational challenges for clustering analysis. In this study, we propose scGCC, a novel graph self-supervised contrastive learning model, to address the challenges faced in scRNA-seq data analysis. scGCC comprises two main components: a representation learning module and a clustering module. The scRNA-seq data is first fed into a representation learning module for training, which is then used for data classification through a clustering module. scGCC can learn low-dimensional denoised embeddings, which is advantageous for our clustering task. We introduce Graph Attention Networks (GAT) for cell representation learning, which enables better feature extraction and improved clustering accuracy. Additionally, we propose five data augmentation methods to improve clustering performance by increasing data diversity and reducing overfitting. These methods enhance the robustness of clustering results. Our experimental study on 14 real-world datasets has demonstrated that our model achieves extraordinary accuracy and robustness. We also perform downstream tasks, including batch effect removal, trajectory inference, and marker genes analysis, to verify the biological effectiveness of our model.