UFL1 ablation in T cells suppresses PD-1 UFMylation to enhance anti-tumor immunity.

UFMylation is an emerging ubiquitin-like post-translational modification that regulates various biological processes. Dysregulation of the UFMylation pathway leads to human diseases, including cancers. However, the physiological role of UFMylation in T cells remains unclear. Here, we report that mice with conditional knockout (cKO) Ufl1, a UFMylation E3 ligase, in T cells exhibit effective tumor control. Single-cell RNA sequencing analysis shows that tumor-infiltrating cytotoxic CD8+ T cells are increased in Ufl1 cKO mice. Mechanistically, UFL1 promotes PD-1 UFMylation to antagonize PD-1 ubiquitination and degradation. Furthermore, AMPK phosphorylates UFL1 at Thr536, disrupting PD-1 UFMylation to trigger its degradation. Of note, UFL1 ablation in T cells reduces PD-1 UFMylation, subsequently destabilizing PD-1 and enhancing CD8+ T cell activation. Thus, Ufl1 cKO mice bearing tumors have a better response to anti-CTLA-4 immunotherapy. Collectively, our findings uncover a crucial role of UFMylation in T cells and highlight UFL1 as a potential target for cancer treatment.

Association of dietary flavonoid intakes with prevalence of chronic respiratory diseases in adults.

BACKGROUND AND AIMS: Flavonoids are a class of secondary plant metabolites that have been shown to have multiple health benefits, including antioxidant and anti-inflammatory. This study was to explore the association between dietary flavonoid consumption and the prevalence of chronic respiratory diseases (CRDs) in adults. METHODS AND RESULTS: The six main types of flavonoids, including isoflavones, anthocyanidins, flavan-3-ols, flavanones, flavones, and flavonols, were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007-2010 and 2017-2018 by the two 24-h recall interviews. The prevalence of CRDs, including asthma, emphysema, and chronic bronchitis, was determined through a self-administered questionnaire. The analysis included 15,753 participants aged 18 years or older who had completed a diet history interview. After adjustment for potential confounders, the inverse link was found with total flavonoids, anthocyanidins, flavanones, and flavones, with an OR (95%CI) of 0.86 (0.75-0.98), 0.84 (0.72-0.97), 0.80(0.69-0.92), and 0.85(0.73-0.98) for the highest group compared to the lowest group. WQS regression revealed that the mixture of flavonoids was negatively linked with the prevalence of CRDs (OR = 0.88 [0.82-0.95], P < 0.01), and the largest effect was mainly from flavanones (weight = 0.41). In addition, we found that flavonoid intake was negatively linked with inflammatory markers, and systemic inflammation significantly mediated the associations of flavonoids with CRDs, with a mediation rate of 12.64% for CRP (P < 0.01). CONCLUSION: Higher flavonoid intake was related with a lower prevalence of CRDs in adults, and this relationship may be mediated through systemic inflammation.

Comprehensive performance domain tolerance analysis methodology for freeform imaging spectrometers.

In recent years, attention has been directed towards cost-effective and compact freeform Schwarzschild imaging spectrometers with plane gratings. The utilization of tolerance analysis serves as a potent approach to facilitate the development of prototypes. Conventional tolerance analysis methods often rely solely on the modulation transfer function (MTF) criterion. However, for a spectrometer system, factors such as the keystone/smile distortion and spectral resolution performance also require consideration. In this study, a tailored comprehensive performance domain tolerance analysis methodology for freeform imaging spectrometers was developed, considering vital aspects such as the MTF, keystone/smile distortion, and spectral resolution. Through this approach, meticulous tolerance analysis was conducted for a freeform Schwarzschild imaging spectrometer, providing valuable insights for the prototype machining and assembly processes. Emphasis was placed on the necessity of precise control over the tilt and decenter between the first and third mirrors, whereas the other fabrication and assembly tolerances adhered to the standard requirements. Finally, an alignment computer-generated hologram (CGH) was employed for the preassembly of the first and third mirrors, enabling successful prototype development. The congruence observed between the measured results and tolerance analysis outcomes demonstrates the effectiveness of the proposed method.

Leaf Rust Pathogens on Hypericum pseudohenryi: Describing Melampsora danbaensis sp. nov. and M. hyperici-pseudohenryi sp. nov. from China.

Based on morphological and phylogenetic evidence, two novel species of Melampsora were discovered on Hypericum pseudohenryi in China and have been thoroughly characterized. One of these species, designated as M. danbaensis, exhibits distinct features such as aecia of Uredo-type, typically appearing in gregarious or grouped arrangements, and presenting a shallowly pulvinate structure. Aeciospores exhibit tremendous variations in size, ranging in shape from globose to ellipsoidal and bearing pronounced verrucose texture. Telia resemble crusts one-spore deep, covering nearly the entire abaxial leaf surface, with sessile teliospores reaching sizes of up to 65.8 µm, and exhibiting a clavate to cylindrical shape. Another species, designated as M. hyperici-pseudohenryi, is distinguished by Uredo-type uredinia, which are hypophyllous, scattered or grouped, and interspersed with numerous paraphyses. Its urediniospores tend to be globose, ellipsoidal or obovoid, echinulate, and are accompanied by clavate to capitate paraphyses reaching lengths up to 77.6 µm. Phylogenetically, both species form a novel monophyletic clade within the Melampsora genus, with robust support demonstrated by a high Maximum likelihood bootstrap support (MLBS) value of 100% and a Bayesian posterior probability (BPP) of 1. This study enriches our understanding of the diversity and geographical distribution of Melampsora species that infect Hypericum plants in China.

Increased serum extrachromosomal circular DNA SORBS1circle level is associated with insulin resistance in patients with newly diagnosed type 2 diabetes mellitus.

BACKGROUND: Extrachromosomal circular DNAs (eccDNAs) exist in human blood and somatic cells, and are essential for oncogene plasticity and drug resistance. However, the presence and impact of eccDNAs in type 2 diabetes mellitus (T2DM) remains inadequately understood. METHODS: We purified and sequenced the serum eccDNAs obtained from newly diagnosed T2DM patients and normal control (NC) subjects using Circle-sequencing. We validated the level of a novel circulating eccDNA named sorbin and SH3-domain- containing-1circle97206791-97208025 (SORBS1circle) in 106 newly diagnosed T2DM patients. The relationship between eccDNA SORBS1circle and clinical data was analyzed. Furthermore, we explored the source and expression level of eccDNA SORBS1circle in the high glucose and palmitate (HG/PA)-induced hepatocyte (HepG2 cell) insulin resistance model. RESULTS: A total of 22,543 and 19,195 eccDNAs were found in serum samples obtained from newly diagnosed T2DM patients and NC subjects, respectively. The T2DM patients had a greater distribution of eccDNA on chromosomes 1, 14, 16, 17, 18, 19, 20 and X. Additionally, 598 serum eccDNAs were found to be upregulated, while 856 eccDNAs were downregulated in T2DM patients compared with NC subjects. KEGG analysis demonstrated that the genes carried by eccDNAs were mainly associated with insulin resistance. Moreover, it was validated that the eccDNA SORBS1circle was significantly increased in serum of newly diagnosed T2DM patients (106 T2DM patients vs. 40 NC subjects). The serum eccDNA SORBS1circle content was positively correlated with the levels of glycosylated hemoglobin A1C (HbA1C) and homeostasis model assessment of insulin resistance (HOMA-IR) in T2DM patients. Intracellular eccDNA SORBS1circle expression was significantly enhanced in the high glucose and palmitate (HG/PA)-induced hepatocyte (HepG2 cell) insulin resistance model. Moreover, the upregulation of eccDNA SORBS1circle in the HG/PA-treated HepG2 cells was dependent on generation of apoptotic DNA fragmentation. CONCLUSIONS: These results provide a preliminary understanding of the circulating eccDNA patterns at the early stage of T2DM and suggest that eccDNA SORBS1circle may be involved in the development of insulin resistance.

LncRNA HEM2ATM improves obesity-associated adipose tissues meta-inflammation and insulin resistance by interacting with heterogeneous nuclear ribonucleoprotein U.

Obesity is a complicated metabolic disease characterized by meta-inflammation in adipose tissues. In this study, we explored the roles of a new long non-coding RNA (lncRNA), HEM2ATM, which is highly expressed in adipose tissue M2 macrophages, in modulating obesity-associated meta-inflammation and insulin resistance. HEM2ATM expression decreased significantly in adipose tissue macrophages (ATMs) obtained from epididymal adipose tissues of high-fat diet (HFD)-induced obese mice. Overexpression of macrophage HEM2ATM improved meta-inflammation and insulin resistance in the adipose tissues of HFD-fed mice. Functionally, HEM2ATM negatively regulated the production of pro-inflammatory cytokines tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in macrophages. Mechanistically, HEM2ATM bound to heterogeneous nuclear ribonucleoprotein U (hnRNP U), suppressed hnRNP U translocation from the nucleus to the cytoplasm, hindered the function of cytoplasmic hnRNP U on TNF-α and IL-6 mRNA stabilization, and decreased the secretion of TNF-α and IL-6. Collectively, HEM2ATM is a novel suppressor of obesity-associated meta-inflammation and insulin resistance.

Hydroxychloroquine Attenuates hERG Channel by Promoting the Membrane Channel Degradation: Computational Simulation and Experimental Evidence for QT-Interval Prolongation with Hydroxychloroquine Treatment.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has led to millions of confirmed cases and deaths worldwide and has no approved therapy. Currently, more than 700 drugs are tested in the COVID-19 clinical trials, and full evaluation of their cardiotoxicity risks is in high demand. METHODS: We mainly focused on hydroxychloroquine (HCQ), one of the most concerned drugs for COVID-19 therapy, and investigated the effects and underlying mechanisms of HCQ on hERG channel via molecular docking simulations. We further applied the HEK293 cell line stably expressing hERG-wild-type channel (hERG-HEK) and HEK293 cells transiently expressing hERG-p.Y652A or hERG-p.F656A mutants to validate our predictions. Western blot analysis was used to determine the hERG channel, and the whole-cell patch clamp was utilized to record hERG current (IhERG). RESULTS: HCQ reduced the mature hERG protein in a time- and concentration-dependent manner. Correspondingly, chronic and acute treatment of HCQ decreased the hERG current. Treatment with brefeldin A (BFA) and HCQ combination reduced hERG protein to a greater extent than BFA alone. Moreover, disruption of the typical hERG binding site (hERG-p.Y652A or hERG-p.F656A) rescued HCQ-mediated hERG protein and IhERG reduction. CONCLUSION: HCQ can reduce the mature hERG channel expression and IhERG via enhancing channel degradation. The QT prolongation effect of HCQ is mediated by typical hERG binding sites involving residues Tyr652 and Phe656.

Design and synthesis of new indole containing biaryl derivatives as potent antiproliferative agents.

A new series of indole containing biaryl derivatives were designed and synthesized, and further biological evaluations of their antiproliferative activity against cancer cell lines (MGC-803 and TE-1 cells) were also conducted. Of these synthesized biaryls, compound 4-methyl-2-((5-methyl-[1,2,4]triazolo[1,5-a]pyrimidin-7-yl)methyl)quinazoline (23) performed as the most potent antiproliferative agent that inhibited cell viability of MGC-803 cells with an IC50 value of 8.28 µM. In addition, investigation of mechanism exhibited that the compound 4-methyl-2-((5-methyl-[1,2,4]triazolo[1,5-a]pyrimidin-7-yl)methyl)quinazoline (23) could inhibit the expression of c-Myc and glycolysis related proteins, decrease the ATP and lactate production, and further induce apoptosis by activating the AMP-activated protein kinase (AMPK) and p53 signaling pathways.

Development of FRET Biosensor to Characterize CSK Subcellular Regulation.

C-terminal Src kinase (CSK) is the major inhibitory kinase for Src family kinases (SFKs) through the phosphorylation of their C-tail tyrosine sites, and it regulates various types of cellular activity in association with SFK function. As a cytoplasmic protein, CSK needs be recruited to the plasma membrane to regulate SFKs' activity. The regulatory mechanism behind CSK activity and its subcellular localization remains largely unclear. In this work, we developed a genetically encoded biosensor based on fluorescence resonance energy transfer (FRET) to visualize the CSK activity in live cells. The biosensor, with an optimized substrate peptide, confirmed the crucial Arg107 site in the CSK SH2 domain and displayed sensitivity and specificity to CSK activity, while showing minor responses to co-transfected Src and Fyn. FRET measurements showed that CSK had a relatively mild level of kinase activity in comparison to Src and Fyn in rat airway smooth muscle cells. The biosensor tagged with different submembrane-targeting signals detected CSK activity at both non-lipid raft and lipid raft microregions, while it showed a higher FRET level at non-lipid ones. Co-transfected receptor-type protein tyrosine phosphatase alpha (PTPα) had an inhibitory effect on the CSK FRET response. The biosensor did not detect obvious changes in CSK activity between metastatic cancer cells and normal ones. In conclusion, a novel FRET biosensor was generated to monitor CSK activity and demonstrated CSK activity existing in both non-lipid and lipid raft membrane microregions, being more present at non-lipid ones.

Treatment of antipsychotic-induced hyperprolactinemia: an umbrella review of systematic reviews and meta-analyses.

Background: Hyperprolactinemia is a common antipsychotic-induced adverse event in psychiatric patients, and the quality of clinical studies investigating the best treatments has varied. Thus, to better summarize the clinical evidence, we performed an umbrella review of overlapping systematic reviews and meta-analyses for the treatment of antipsychotic-induced hyperprolactinemia. Methods: The PubMed, Cochrane Library, PsycINFO, Scopus and EMBASE were searched, and reviews and meta-analyses meeting our inclusion criteria were selected. Relevant data were extracted, and an umbrella review was conducted of all included meta-analyses. The quality of included meta-analyses was assessed by using PRISMA scores and AMSTAR 2 quality evaluation. Finally, the clinical evidence for appropriate treatments was summarized and discussed. Results: Five meta-analyses published between 2013 and 2020 met the requirements for inclusion in this umbrella review. The PRISMA scores of the included meta-analyses ranged from 19.5-26. AMSTAR 2 quality evaluation showed that 2 of the 5 included meta-analyses were of low quality and 3 were of very low quality. The included meta-analyses provide clinical evidence that adding aripiprazole or a dopamine agonist can effectively and safely improve antipsychotic-induced hyperprolactinemia. Two meta-analyses also showed that adjunctive metformin can reduce serum prolactin level, but more clinical trials are needed to confirm this finding. Conclusion: Adjunctive dopamine agonists have been proven to be effective and safe for the treatment of antipsychotic-induced hyperprolactinemia. Among the researched treatments, adding aripiprazole may be the most appropriate.

The value of nomogram based on MRI functional imaging in differentiating cerebral alveolar echinococcosis from brain metastases.

OBJECTIVE: This study aims to evaluate the effectiveness of a nomogram model constructed using Diffusion Kurtosis Imaging (DKI) and 3D Arterial Spin Labeling (3D-ASL) functional imaging techniques in distinguishing between cerebral alveolar echinococcosis (CAE) and brain metastases (BM). METHODS: Prospectively collected were 24 cases (86 lesions) of patients diagnosed with CAE and 16 cases (69 lesions) of patients diagnosed with BM at the affiliated hospital of Qinghai University from 2018 to 2023, confirmed either pathologically or through comprehensive diagnosis. Both patient groups underwent DKI and 3D-ASL scanning. DKI parameters (Kmean, Dmean, FA, ADC) and cerebral blood flow (CBF) were analyzed for the parenchymal area, edema area, and symmetrical normal brain tissue area in both groups. There were 155 lesions in total in the two groups of patients. We used SPSS to randomly select 70% as the training set (108 lesions) and the remaining 30% as the test set (47 lesions) and performed a difference analysis between the two groups. The independent factors distinguishing CAE from BM were identified using univariate and multivariate logistic regression analyses. Based on these factors, a diagnostic model was constructed and expressed as a nomogram. RESULT: Univariate and multivariate logistic regression analyses identified nDmean1 and nCBF1 in the lesion parenchyma area, as well as nKmean2 and nDmean2 in the edema area, as independent factors for distinguishing CAE from BM. The model's performance, measured by the area under the ROC curve (AUC), had values of 0.942 and 0.989 for the training and test sets, respectively. Calibration curves demonstrated that the predicted probabilities were highly consistent with the actual values, and DCA confirmed the model's high clinical utility. CONCLUSION: The nomogram model, which incorporates DKI and 3D-ASL functional imaging, effectively distinguishes CAE from BM. It offers an intuitive, accurate, and non-invasive method for differentiation, thus providing valuable guidance for subsequent clinical decisions.

The value of nomogram analysis in prediction of cerebral spread of hepatic alveolar echinococcosis.

BACKGROUND: The prognosis after brain metastasis of alveolar echinococcosis is inferior, but there is currently no effective method to predict brain metastasis. PURPOSE: To explore the value of a nomogram constructed based on a CT plain scan and enhanced imaging features combined with clinical indicators in predicting brain metastasis of hepatic alveolar echinococcosis (HAE). MATERIALS AND METHODS: The imaging characteristics and clinical indicators of 116 patients diagnosed with HAE in the Affiliated Hospital of Qinghai University from 2015 to 2022 were retrospectively collected. The data were randomly divided into a training set and a validation set according to 7:3, and the difference between the two groups was analyzed. Binary logistic regression analysis was used to obtain independent predictors of brain metastasis in HAE, and a prediction model was constructed based on this and expressed in the form of a nomogram. Receiver operating characteristic (ROC) curve and calibration curve (CRC) were used to evaluate model performance, and decision curve analysis (DCA) was used to assess the clinical value of the predictive model. RESULT: A total of 116 HAE patients were included (average age 38.07±15.09 years old, 54 males and 62 females, 81 patients (70 %) in the training set, and 35 patients (30 %) in the validation set). There was no statistically significant difference between CT plain scan and enhanced imaging features combined with clinical indicators between the training set and the validation set (p > 0.05). After statistical analysis, it was found that whether there is invasion of the inferior vena cava, whether there is invasion of the hepatic artery, and whether there is metastasis to other organs are independent predictors of brain metastasis in HAE. A prediction model was built based on these three variables. The area under the ROC curve (AUC), cutoff value, sensitivity, and specificity of the training set and validation set were 0.922 and 0.886, 0.6934 and 0.6643, 75.00 and 84.62, 94.34 and 81.82, respectively. CRC shows good consistency between the predicted probability and the actual value of the sample. DCA showed that the clinical value of the model was high. CONCLUSION: The nomogram constructed based on imaging features combined with clinical indicators can effectively predict whether HAE will develop brain metastasis, which is helpful for clinicians to quickly screen out high-risk patients with HAE developing brain metastases, evaluate patient prognosis, and is more conducive to the realization of individualized and precise medical decisions.

Rapid species discrimination of similar insects using hyperspectral imaging and lightweight edge artificial intelligence.

Species discrimination of insects is an important aspect of ecology and biodiversity research. The traditional methods based on human visual experience and biochemical analysis cannot strike a balance between accuracy and timeliness. Morphological identification using computer vision and machine learning is expected to solve this problem, but image features have poor accuracy for very similar species and usually require complicated networks that are unfriendly to portable edge devices. In this work, we propose a fast and accurate species discrimination method of similar insects using hyperspectral features and lightweight machine learning algorithm. Feature regions selection, feature spectra selection and model quantification are used for the optimization of discriminating network. The experimental results of six similar butterfly species in the genus of Graphium show that, compared with morphological recognition with machine vision, our work achieves a higher accuracy of 92.36 ± 3.04% and a shorter inference time of 0.6 ms, with the tiny-size convolutional neural network deployed on a neural network chip. This study provides a rapid and high-accuracy species discrimination method for insects with high appearance similarity and paves the way for field discriminations using intelligent micro-spectrometer based on on-chip microstructure and artificial intelligence chip.

Associations of dietary flavonoid intake with the risk of all-cause and cardiovascular mortality in adults.

BACKGROUND AND AIMS: Flavonoids are widely distributed polyphenolic compounds in the diet that possess various health-promoting effects. This study aimed to investigate the association between dietary flavonoid intake and all-cause and cardiovascular mortality in adults. METHODS AND RESULTS: The data on the six main subclasses of flavonoids, including isoflavones, anthocyanidins, flavan-3-ols, flavanones, flavones, and flavonols, were obtained from the 2007-2010 National Health and Nutrition Examination Survey (NHANES) dataset of adults. The participants were followed up until December 30, 2019. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for dietary flavonoid intake and mortality. The study included a total of 8758 adults (mean age 44.00 years; 47.40% men). A median follow-up of 10.7 years yielded 1113 all-cause deaths and 261 cardiovascular deaths were recorded. In comparison to category 1, category 4 of flavan-3-ols, flavonols, and total flavonoids were associated with lower risks of all-cause mortality, with multivariable-adjusted HRs of 0.71 (95% CI: 0.55-0.92, Ptrend = 0.021), 0.58 (95% CI: 0.45-0.74, Ptrend<0.001), and 0.63 (95% CI: 0.50-0.80, Ptrend = 0.010), respectively. Similarly, higher intake of category 4 flavonoids was associated with a reduced risk of cardiovascular mortality, with HRs of 0.68 (95% CI: 0.29-0.89, Ptrend = 0.035) for flavones, 0.41 (95% CI: 0.22-0.78, Ptrend = 0.001) for flavonols, and 0.54 (95% CI: 0.36-0.80, Ptrend = 0.021) for total flavonoids. CONCLUSION: Dietary flavonoid intake is associated with all-cause and cardiovascular mortality. Increasing dietary flavonoid intake may reduce the risk of death in adults.

Metformin enhances METTL14-Mediated m6A methylation to alleviate NIT-1 cells apoptosis induced by hydrogen peroxide.

Injuries to pancreatic ß-cells are intricately linked to the onset of diabetes mellitus (DM). Metformin (Met), one of the most widely prescribed medications for diabetes and metabolic disorders, has been extensively studied for its antioxidant, anti-aging, anti-glycation, and hepatoprotective activities. N6-methyladenosine (m6A) plays a crucial role in the regulation of ß-cell growth and development, and its dysregulation is associated with metabolic disorders. This study aimed to elucidate the mechanistic basis of m6A involvement in the protective effects of Met against oxidative damage in pancreatic ß-cells. Hydrogen peroxide (H2O2) was employed to induce ß-cell damage. Remarkably, Met treatment effectively increased methylation levels and the expression of the methyltransferase METTL14, subsequently reducing H2O2-induced apoptosis. Knocking down METTL14 expression using siRNA significantly compromised cell viability. Conversely, targeted overexpression of METTL14 specifically in ß-cells substantially enhanced their capacity to withstand H2O2-induced stress. Molecular evidence suggests that the anti-apoptotic properties of Met may be mediated through Bcl-xL and Bim proteins. In conclusion, our findings indicate that Met induces METTL14-mediated alterations in m6A methylation levels, thereby shielding ß-cells from apoptosis and oxidative damage induced by oxidative stress.

Combination of BMP-2 and 5-AZA is advantageous in rat bone marrow-derived mesenchymal stem cells differentiation into cardiomyocytes.

Bone morphogenetic protein-2 (BMP-2) has a crucial role in the development of cardiogenesis, and is used in inducing bone marrow mesenchymal stem cells (BMMSCs) to differentiate into cardiomyocytes. We have examined a combination of BMP-2 and 5-azacytidine (5-AZA) in inducing these differentiation effects. BMMSCs were collected and purified from bone marrow of 4-week-old Sprague-Dawley (SD) rats by density-gradient centrifugation and differential attachment. The fourth passage subculture of BMMSCs, selected by cytometry for purity and identification, was divided into four groups: a control group, BMP-2 treated, 5-AZA treated, and a combination of BMP-2 and 5-AZA treatment. Expression of cardiac Troponin I (cTnI) and Connexin 43 (CX-43) in BMMSCs after induction were detected by immunofluorescence and Western blot. Flow cytometry analysis was used for differentiation rates and apoptosis of induced BMMSCs, through the expression of cardiac Troponin T (cTnT) and Annexin V-FITC & PI kit, respectively. BMP-2 can ameliorate apoptosis of BMMSCs caused by 5-AZA and promote the differentiation of BMMSCs into cardiomyocyte-like cells. Thus a combination of BMP-2 and 5-AZA can significantly improve the cardiac differentiation with fewer cell damage effects, making it a safe and effective method of induction in vitro.

Combination Therapy with Resveratrol and Celastrol Using Folic Acid-Functionalized Exosomes Enhances the Therapeutic Efficacy of Sepsis.

Overactivated macrophages are a prominent feature of many inflammatory and autoimmune diseases, including sepsis. Attention and regulation of macrophages activity is of great significance for sepsis treatment. Herein, this study shows that folic acid-functionalized exosomes accumulate in the lung of septic mice and specifically target inflammatory macrophages. Therefore, FA-functionalized exosomes co-loaded with resveratrol (an anti-inflammatory polyphenol) and celastrol (an immunosuppressive pentacyclic triterpenoid; FA-Exo/R+C), which exhibit powerful anti-inflammatory and immunosuppressive activities against LPS-stimulated macrophages in vitro by regulating NF-κB and ERK1/2 signaling pathways, are designed. Encouraged by these positive data, the efficacy of FA-Exo/R+C is systematically investigated in an LPS-induced mouse sepsis model. FA-Exo/R+C shows striking therapeutic benefits in terms of attenuated cytokine storm, reduced acute lung injury, and increased survival of septic mice by inhibiting the inflammation and proliferation of proinflammatory M1 macrophages. Importantly, multiple administrations of FA-Exo/R+C significantly enhance and prolong the protective effect, and resist rechallenge to LPS. Collectively, the strategy of co-delivering drugs combination through functionalized exosomes offers a new avenue for sepsis treatment.

Non-linear associations of serum and red blood cell folate with risk of cardiovascular and all-cause mortality in hypertensive adults.

This study aims to assess the associations of serum and red blood cell (RBC) folate with cardiovascular and all-cause mortality in hypertensive adults. Data on serum and RBC folate from the 1999-2014 National Health and Nutrition Examination Survey were included. Through December 31, 2015, cardiovascular and all-cause mortality were identified from the National Death Index. Multiple Cox regression and restricted cubic spline analyses were used to determine the relationship between folate concentrations and outcomes. A total of 13,986 hypertensive adults were included in the analysis (mean age, 58.5 ± 16.1 years; 6898 [49.3%] men). At a median of 7.0 years of follow-up, 548 cardiovascular deaths and 2726 all-cause deaths were identified. After multivariable adjustment, the fourth quartile of serum folate was associated with cardiovascular (HR = 1.32 [1.02-1.70]) and all-cause (HR = 1.20 [1.07-1.35]) mortality compared to the second quartile, whereas the first quartile was only linked with increased all-cause (HR = 1.29 [1.15-1.46]) mortality. The inflection points for the non-linear associations of serum folate with cardiovascular and all-cause mortality were 12.3 ng/mL and 20.5 ng/mL, respectively. In addition, the highest quartile of RBC folate was associated with cardiovascular (HR = 1.68 [1.30-2.16]) and all-cause (HR = 1.30 [1.16-1.46]) mortality compared to the second quartile, but the lowest quartile was not associated with either outcome. The inflection points for the non-linear associations of RBC folate with cardiovascular and all-cause mortality were 819.7 and 760.1 ng/mL, respectively. The findings suggest non-linear associations between serum and RBC folate levels and the risk of cardiovascular and all-cause mortality in hypertensive adults.

Association of N, N-diethyl-m-toluamide (DEET) with hyperuricemia among adult participants.

BACKGROUND: N,N-diethyl-m-toluamide (DEET) is a widely used active ingredient in insect repellents, and its effects on human health have been a matter of debate. This study aims to investigate the relationship between DEET exposure and hyperuricemia in the adult population. METHODS: Our study utilized a cross-sectional design and analyzed data from adult participants of the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2016. 3-diethyl-carbamoyl benzoic acid (DCBA) was used as a specific indicator of DEET exposure. DCBA was categorized using quartiles based on its distribution within the study population. Multiple linear regression models were employed to examine the association between DCBA exposure and serum uric acid (SUA) levels in adults. The relationship between DCBA and the prevalence of hyperuricemia in adults was assessed using multiple logistic regression models. Dose-response relationships were analyzed using restricted cubic spline regression. RESULTS: A total of 8708 participants were included in the study. The mean age of the participants was 46.49 years, and the total number of male participants was 50.93%. The median levels of DCBA and SUA were 2.07 ng/mL and 5.40 mg/dL, respectively. Hyperuricemia was found in 19.99% of the participants. In multivariate-adjusted linear regression models, it was found that higher SUA levels were associated with the highest quartile of DCBA compared with the lowest quartile of DCBA (ß [95% CI]: 0.19 [0.08, 0.30], Ptrend<0.001). After adjusting for confounders, a positive association was found between the prevalence of hyperuricemia and DCBA levels (OR [95% CI] quartile 4 vs. 1: 1.41 [1.14-1.74], Ptrend<0.001). Furthermore, linear associations were observed between DCBA concentrations and SUA levels (P for nonlinearity = 0.479) and the prevalence of hyperuricemia (P for nonlinearity = 0.755). CONCLUSION: Higher DCBA concentrations were found to have a positive association with the prevalence of hyperuricemia in the general adult population.

Elevated plasma macrophage migration inhibitor factor is associated with hypertension and hypertensive left ventricular hypertrophy.

Previous studies have found that the macrophage migration inhibitor factor is associated with endothelial dysfunction and ventricular remodelling. The aim of this study was to explore the potential relationship between plasma macrophage migration inhibitor factor levels and hypertension and hypertensive left ventricular hypertrophy. A total of 308 participants (including 187 uncomplicated hypertensive patients and 121 healthy controls) were enroled from 2017 to 2019. The association between macrophage migration inhibitor factors and hypertension and hypertensive left ventricular hypertrophy was estimated with univariate and multivariate logistic regression models. Elevated macrophage migration inhibitor factor was associated with the development of hypertension (second tertile: adjusted OR, 2.27, 95% CI, 1.24-4.16, P = 0.008; third tertile: adjusted OR, 5.43, 95% CI, 2.75-10.71, P < 0.001; compared with the first tertile). In addition, we assessed the association between macrophage migration inhibitor factor and left ventricular hypertrophy in hypertensive patients (n = 187). Plasma macrophage migration inhibitor factor was significantly correlated with hypertensive left ventricular mass index (r = 0.580, P < 0.001). In patients with hypertension, an elevated macrophage migration inhibitor factor was significantly associated with hypertensive left ventricular hypertrophy (second tertile: adjusted OR, 3.20, 95% CI, 1.17-8.78, P = 0.024; third tertile: adjusted OR, 24.95, 95% CI, 8.72-71.41, P < 0.001; compared with the first tertile). Receiver operating characteristic analysis indicated that macrophage migration inhibitor factor had reasonable predictive accuracy for the development of hypertensive left ventricular hypertrophy (area under curve 0.84, 95% CI 0.78-0.90, P < 0.001). Our data indicated that elevated macrophage migration inhibitor factor is associated with hypertension and hypertensive left ventricular hypertrophy.