Establishment of a reverse genetics system for virulent systemic feline calicivirus using circular polymerase extension reaction.

Feline caliciviruses can cause oral and upper respiratory tract infections in cats. However, a virulent and systemic feline calicivirus (VS-FCV) variant implicated in multisystem lesions and death in cats has emerged recently. To date, the mechanism underlying virulence variations in VS-FCV remains unclear. The aim of the present study was to provide a tool for exploring genetic variation in VS-FCV, by constructing an infectious clone of VS-FCV SH/2014. First, a full-length cDNA molecular clone of VS-FCV SH/2014 strain, which contains an Xba I recognition site generated by mutating one base (A→T) as a genetic marker, was constructed using the circular polymerase extension reaction (CPER) method. Second, the full-length cDNA clone was introduced into Crandell-Rees feline kidney cells using liposomes to rescue recombinant VS-FCV SH/2014 (rVS-FCV SH/2014). Third, the rescued viruses were identified by real-time PCR, immunofluorescence assay, western blotting, and electron microscopy. The full-length cDNA molecular clone of the VS-FCV SH/2014 strain was successfully constructed and that rVS-FCV SH/2014 could be rescued efficiently. rVS-FCV SH/2014 had the expected genetic markers and morphology and growth characteristics similar to those of the parental virus. The reverse genetics system provides a research platform for future studies on VS-FCV genetic variation and pathogenesis.

Variations in Root Characteristics and Cadmium Accumulation of Different Rice Varieties under Dry Cultivation Conditions.

Variations in the cadmium (Cd) accumulation and root characteristics of different genotypes of rice during three developmental periods of dry cultivation were investigated in pot experiments in which two levels of Cd were added to the soil (0 and 10 mg kg-1). The results show that the Cd concentration in each organ of the different rice genotypes decreased in both the order of roots > shoots > grains and during the three developmental periods in the order of the maturity stage > booting stage > tillering stage. The lowest bioaccumulation factor (BCF) and translocation factor (TF) were found in Yunjing37 (YJ37) under Cd stress. At maturity, Cd stress inhibited the root length of Dianheyou34 (DHY34) the most and that of Dianheyou 918 (DHY918) the least, also affecting the root volume of DHY34 and Dianheyou615 (DHY615) the most and that of YJ37 and Yiyou 673 (YY673) the least; the inhibition rates were 41.80, 5.09, 40.95, and 10.51%, respectively. The exodermis showed the greatest thickening in YY673 and the lowest thickening in DHY615, while the endodermis showed the opposite result. The rates of change were 16.48, 2.45, 5.10, and 8.49%, respectively. The stele diameter of DHY615 decreased the most, and that of YY673 decreased the least, while the secondary xylem area showed the opposite result; the rates of change were -21.50, -14.29, -5.86, and -26.35%, respectively. Under Cd stress treatment at maturity, iron plaque was extracted using the dithionite-citrate-bicarbonate (DCB) method. The concentration of iron (DCB-Fe) was highest in YJ37, and the concentration of cadmium (DCB-Cd) was lowest in DHY34. YJ37 was screened as a low Cd-accumulating variety. The concentration of available Cd in the rhizosphere soil, iron plaque, root morphology, and anatomy affect Cd accumulation in rice with genotypic differences. Our screening of Cd-accumulating rice varieties provides a basis for the dry cultivation of rice in areas with high background values of Cd in order to avoid the health risks of Cd intake.

Study on Structure-Function Integrated Polymer-Based Microwave-Absorption Composites.

This article provides an in-depth exploration of the current state of research in microwave-absorbing composite materials, juxtaposing the status quo of coating type and structurally reinforced resin-based composites, with a particular emphasis on the latter's structural and performance superiority. It succinctly elucidates the mechanisms of electromagnetic shielding, as well as the conditions and underlying principles that govern the absorption of microwaves by composite materials. The review continues by dissecting the strategies for enhancing the microwave-absorption capabilities of resin-based composites, including the classification of absorbents, absorbent selection, and an overview of structural design innovations in microwave-absorbing materials. Structural wave-absorbing composites are manufactured by combining different types of resin matrices, absorbers, reinforcing fibers and construction methods. The interactions between these components are scrutinized to reveal how each contributes to the overall performance of the composite. We spotlight the unique construction methods and the intricate relationship between structure and performance in structurally reinforced composites, offering insights into the optimization strategies for composite-material absorption characteristics. Concluding with a forward-looking perspective, the article contemplates the burgeoning potential and future applications of fiber-reinforced resin-based microwave-absorbing composites, setting the stage for a new era in material science and technology.

Dramatically Enhancing Multiphoton Harvesting Metal-Organic Frameworks for NIR-II Photocatalysis through Functional Regulation of Octupolar Molecules.

The development of effective multiphoton absorption (MPA) materials for near-infrared (NIR) light-driven photocatalysis holds great significance. In this study, we incorporated two multibranched cyclometallated iridium(III) modules with varying degrees of conjugation onto MPA-inert metal-organic frameworks (MOFs) to active MPA performance. Subsequently, the MOFs were further modified with Co(II) and hyaluronic acid (HA) to fabricate MINCH and MISCH, respectively. By introducing octupolar molecules and expanding the conjugation, MISCH exhibited a larger MPA cross section for efficient NIR light absorption and improved carrier transfer, leading to outstanding NIR light-driven multiphoton photocatalytic hydrogen production. Moreover, the HA modification enabled MISCH to achieve specific multiphoton photocatalytic hydrogen therapy for cancer cells. This study provides valuable insights into constructing highly active MPA materials for NIR light-driven photocatalysis, presenting a potential platform for hydrogen therapy in tumor treatment.

Gut microbiome pattern impacts treatment response in primary biliary cholangitis.

BACKGROUND: Primary biliary cholangitis (PBC) is a progressive autoimmune liver disease. An inadequate response to ursodeoxycholic acid (UDCA) poses a high risk of progression toward end-stage liver disease. Gut dysbiosis has been implicated in PBC. Here, we aimed to investigate microbial signatures that permit risk stratification and provide mechanistic insights into novel therapies for PBC. METHODS: We prospectively recruited UDCA treatment-naive patients with PBC and performed metagenomic sequencing and metabolomic profiling using stool and serum samples obtained before (n = 132) and after (n = 59) treatment. PBC microbiome subtypes were identified using unsupervised machine learning methods and validated in two independent cohorts. FINDINGS: PBC baseline metagenomes clustered into two community subtypes characterized by varying abundances of Clostridia taxa. Compared with Clostridialow microbiomes, Clostridiahigh microbiomes were more similar to healthy controls. Notably, patients in the Clostridialow subtype exhibited a 2-fold higher UDCA non-response rate compared to those in the Clostridiahigh subtype (41% vs. 20%, p = 0.015). Integrative analysis of metagenomic and metabolomic data revealed divergent functional modules and metabolic activities between the two metacommunities. In particular, anaerobic fermentation and the production of bioactive metabolites, including tryptophan derivatives and secondary bile acids, crucial for immune regulation and gut barrier maintenance, were markedly diminished in the Clostridialow subtype. Moreover, UDCA administration reconfigured the fecal microbial and metabolic profiles only in the Clostridiahigh group. Importantly, the microbiome subtypes and their associations with UDCA response were reproducible in two independent treatment-naive PBC cohorts. CONCLUSIONS: Characterizing baseline microbiota patterns may enable the prediction of treatment outcomes in PBC and facilitate personalized treatment strategies. FUNDING: This research was mainly supported by the National Natural Science Foundation of China.

A study on improving cancer-related fatigue and disease-related psychological variables in patients with cervical cancer based on online mindfulness-based stress reduction: a randomized controlled trial.

BACKGROUND: The persistent destructive power of cancer-related fatigue (CRF) has been regarded as the biggest influencing factor affecting the postoperative physical and mental health of patients with cervical cancer. During this process, patients might also experience different feelings of disease-related psychological. Therefore, this study aimed to adopt mindfulness-based stress reduction (MBSR) to intervene in patients with cervical cancer, and conducted follow-up for 3 and 6 months to observe the effects of changes in CRF, uncertainty in illness, coping styles, sense of coherence (SOC), and perceived social support (PSS). METHODS: A randomized controlled trial was conducted in ShengJing Hospital of China Medical University. A total of 102 patients were selected, and 78 patients completed the whole process, including 40 in the experimental group and 38 in the control group. Data were collected according to Cancer Fatigue Scale, Medical Coping Modes Questionnaire, Multidimensional Scale of Perceived Social Support, and Sense of Coherence-13. The change trend and difference of the two groups of research data were compared by repeated measurement analysis of variance. Bonferroni test was used for multiple tests between groups. RESULTS: The CRF, SOC, and coping styles of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR, 3 months follow-up, and 6 months follow-up compared to the before MBSR. However, the uncertainty in illness of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR compared to the before MBSR, and it rose in 3 months follow-up and 6 months follow-up. CONCLUSION: MBSR can effectively alleviate the fatigue of CRF after treatment, while improving their psychological environment. Medical workers can consider implementing online MBSR for patients with cervical cancer in their daily rehabilitation nursing, which is beneficial for their recovery. TRIAL REGISTRATION: China Clinical Trial Registration Center ChiCTR2000040122 (https//www.chictr.org.cn/). Registered on November 21, 2020.

A new method for estimating nanoparticle deposition coverage from a set of weak-contrast SEM images.

Imaging nanomaterials in hybrid systems is critical to understanding the structure and functionality of these systems. However, current technologies such as scanning electron microscopy (SEM) may obtain high resolution/contrast images at the cost of damaging or contaminating the sample. For example, to prevent the charging of organic substrate/matrix, a very thin layer of metal is coated on the surface, which will permanently contaminate the sample and eliminate the possibility of reusing it for following processes. Conversely, examining the sample without any modifications, in pursuit of high-fidelity digital images of its unperturbed state, can come at the cost of low-quality images that are challenging to process. Here, a solution is proposed for the case where no brightness threshold is available to reliably judge whether a region is covered with nanomaterials. The method examines local brightness variability to detect nanomaterial deposits. Very good agreement with manually obtained values of the coverage is observed, and a strong case is made for the method's automatability. Although the developed methodology is showcased in the context of SEM images of Polydimethylsiloxane (PDMS) substrates on which silicone dioxide (SiO2) nanoparticles are assembled, the underlying concepts may be extended to situations where straightforward brightness thresholding is not viable.

Physiological Metabolic Analysis of VB12 Accumulation in Ensifer adhaerens Casida A Enhanced by Oxygen Limitation.

Cobalamin (VB12) is in enormous demand across the fields of medicine, food, and feed additives. However, the oxygen supply plays a critical role in VB12 biosynthesis by Ensifer adhaerens Casida A and has been identified as a bottleneck for economical substrate consumption. This study elucidates the relationship between oxygen limitation and VB12 accumulation with transcriptomic and metabolomic analyses. Under oxygen limitation, E. adhaerens enhances oxygen transport and storage by increasing expression of flavin hemoglobin (Hmp), which was up-regulated 6-fold at 24 h of oxygen restriction compared to the oxygen restriction of 4 h (p < 0.01). Because of the cofactor of Hmp is heme, the demand for heme increases, leading to the upregulation of genes in the heme biosynthesis pathway. Similarly, genes involved in biosynthesis of its precursor, 5-ALA, were upregulated as well. 5-ALA is also a direct precursor of VB12, further leading to the upregulation of genes in the VB12 biosynthesis pathway. This process initiates biosynthesis and accumulation of VB12. As VB12 and heme biosynthesis progresses, genes associated with the biosynthesis and transportation pathways of compounds related to their biosynthesis were likewise upregulated, including genes involved in S-adenosyl methionine (SAM) biosynthesis, and the transport of Fe2+ and Co2+. Additionally, amino acids and organic acids associated with biosynthesis were also extensively consumed, such as methionine, which is used for synthesizing SAM, decreased by 310% after 24 h of oxygen limitation compared to 20% dissolved oxygen (p < 0.05). At the same time, genes related to growth-associated metabolic pathways, such as pentose phosphate pathway (PPP), were significantly downregulated. Therefore, the potential mechanism by which E. adhaerens accumulates VB12 under oxygen-limited conditions by enhancing Hmp expression, which facilitates the porphyrin metabolic pathway and promotes VB12 biosynthesis. This research provides valuable insights for increasing VB12 production through metabolic engineering and process optimization.

Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade.

Objectives: Multishell diffusion scanning is limited by low spatial resolution. We sought to improve the resolution of multishell diffusion images through deep learning-based super-resolution reconstruction (SR) and subsequently develop and validate a prediction model for adult-type diffuse glioma, isocitrate dehydrogenase status and grade 2/3 tumors. Materials and methods: A simple diffusion model (DTI) and three advanced diffusion models (DKI, MAP, and NODDI) were constructed based on multishell diffusion scanning. Migration was performed with a generative adversarial network based on deep residual channel attention networks, after which images with 2x and 4x resolution improvements were generated. Radiomic features were used as inputs, and diagnostic models were subsequently constructed via multiple pipelines. Results: This prospective study included 90 instances (median age, 54.5 years; 39 men) diagnosed with adult-type diffuse glioma. Images with both 2x- and 4x-improved resolution were visually superior to the original images, and the 2x-improved images allowed better predictions than did the 4x-improved images (P<.001). A comparison of the areas under the curve among the multiple pipeline-constructed models revealed that the advanced diffusion models did not have greater diagnostic performance than the simple diffusion model (P>.05). The NODDI model constructed with 2x-improved images had the best performance in predicting isocitrate dehydrogenase status (AUC_validation=0.877; Brier score=0.132). The MAP model constructed with the original images performed best in classifying grade 2 and grade 3 tumors (AUC_validation=0.806; Brier score=0.168). Conclusion: SR improves the resolution of multishell diffusion images and has different advantages in achieving different goals and creating different target diffusion models.

Metal substrate engineering to modulate CO2 hydrogenation to methanol on inverse Zr3O6/CuPd catalysts.

It is well known that the performance of some key catalytic reactions has a strong dependence on metal catalyst surfaces. In the current work, this concept is further extended to the CuPd alloy-supported zirconium oxide inverse catalyst for CO2 hydrogenation to methanol. A combined DFT and microkinetic simulation study reveal that both the metal substrate surface and the precise exposed Cu or Pd metal atoms on the substrate have a pivotal influence on the catalytic mechanism and performance of the inverse catalyst for CO2 hydrogenation to methanol. Herein, CuPd(100), (111), and (110) surfaces with either Cu and Pd terminations have been examined, which provided five metal substrates as support for the inverse catalyst. Three different mechanisms, including the formate pathway, RWGS + CO-hydro pathway, and CO2 direct activation pathway, are explored under the same conditions; they take place at the interfacial sites between the metal alloy and oxide. The calculations indicated that the inverse catalyst with the CuPd(100) substrate demonstrates better performance than those with CuPd(110) and (111) for both formate and RWGS + CO-hydro mechanisms. Conversely, the reaction pathway is more sensitive to exposed atoms on the metal substrate. The best inverse catalyst, Zr3O6/CuPd(100) with either Cu or Pd terminations, demonstrated a methanol formation TOF above 0.30 site-1 s-1 and the selectivity was above 90% at 573 K, as evaluated from microkinetic simulation. The coverage analysis indicates the most populated species is HCOO*, which is consistent with experimental reports. Both kinetic and thermodynamics control steps are identified from DRC analysis for the best performing catalysts. Overall, the current study confirms the catalytic performance of the inverse Zr3O6/CuPd catalyst and demonstrates the tunable effects of the metal alloy substrate, which can facilitate effective optimization.

Geographic variation in leaf traits and palatability of a native plant invader during domestic expansion.

Like alien plant invasion, range expansion of native plants may threaten biodiversity and economies, rendering them native invaders. Variation in abiotic and biotic conditions across a large geographic scale greatly affects variation in traits and interactions with herbivores of native plant invaders, which is an interesting yet mostly unexplored issue. We used a common garden experiment to compare defensive/nutritional traits and palatability to generalist herbivores of 20 native (23.64° N-30.18° N) and introduced range (31.58° N-36.87° N) populations of Reynoutria japonica, which is a native invader following range expansion in China. We analyzed the relationships among herbivore pressure, climate, plant chloroplast haplotypes, leaf traits, and herbivore performance. Of the 16 variables tested, we observed range differences in 11 variables and latitudinal clines in nine variables. In general, herbivores performed better on the introduced plants than on the native plants, and better on the high-latitude plants than on the low-latitude plants within the introduced populations. Three key traits (leaf thickness, specific leaf area, and carbon-to-nitrogen [C:N] ratio) determined palatability to herbivores and were significantly associated with temperature and/or precipitation of plant provenance as well as with plant haplotypes but not with herbivore pressure. Our results revealed a causal sequence from plant-range-based environmental forces and genetic context to plant quality and palatability to herbivores in R. japonica. These findings suggest a post-introduction evolution of R. japonica, which may partly explain the colonization success of this important native, but invasive plant.

Metabolic Phenotyping of Healthy and Diseased Human RPE Cells.

Purpose: Metabolic defects in the retinal pigment epithelium (RPE) underlie many retinal degenerative diseases. This study aims to identify the nutrient requirements of healthy and diseased human RPE cells. Methods: We profiled nutrient use of various human RPE cells, including differentiated and dedifferentiated fetal RPE (fRPE), induced pluripotent stem cell-derived RPE (iPSC RPE), Sorsby fundus dystrophy (SFD) patient-derived iPSC RPE, CRISPR-corrected isogenic SFD (cSFD) iPSC RPE, and ARPE-19 cell lines using Biolog Phenotype MicroArray Assays. Results: Differentiated fRPE cells and healthy iPSC RPE cells can use 51 and 48 nutrients respectively, including sugars, intermediates from glycolysis and tricarboxylic acid (TCA) cycle, fatty acids, ketone bodies, amino acids, and dipeptides. However, when fRPE cells lose their epithelial phenotype through dedifferentiation, nutrient use becomes restricted to 17 nutrients, primarily sugar and glutamine-related amino acids. SFD RPE cells can use 37 nutrients; however, compared to cSFD RPE and healthy iPSC RPE, they are unable to use lactate, some TCA cycle intermediates, and short-chain fatty acids. Nonetheless, they show increased use of branch-chain amino acids (BCAAs) and BCAA-containing dipeptides. Dedifferentiated ARPE-19 cells grown in traditional culture media cannot use lactate and ketone bodies. In contrast, nicotinamide supplementation promotes differentiation toward an epithelial phenotype, restoring the ability to use these nutrients. Conclusions: Epithelial phenotype confers metabolic flexibility to healthy RPE for using various nutrients. SFD RPE cells have reduced metabolic flexibility, relying on the oxidation of BCAAs. Our findings highlight the potentially important roles of nutrient availability and use in RPE differentiation and diseases.

Enhancing Two-Photon Excited Fluorescence of Metal-Organic Framework Single Crystals through Modulation of Inorganic Nodes.

Regulation of the two-photon excited fluorescence (TPEF) emission intensity and wavelength of metal-organic framework (MOF) crystals with similar constitutions presents a significant challenge. In this study, two MOFs, Zn-BTPPA and Cd3-BTPPA, were constructed using tetrakis(1,1'-biphenyl-4-carboxylic acid)-1,4-benzenediamine (H4BTPPA) as the organic ligand and mononuclear Zn and trinuclear Cd3 inorganic nodes, respectively. The incorporation of H4BTPPA within the MOF structures enables effective TPEF emission in both Zn-BTPPA and Cd3-BTPPA. The TPEF results show that Zn-BTPPA and Cd3-BTPPA exhibited strong emissions at 523 and 463 nm, respectively, when excited with a 780 nm laser. Moreover, Zn-BTPPA and Cd3-BTPPA exhibited much higher two-photon absorption cross sections, approximately 4.9 and 5.2 times higher than that of the reported dinuclear MOF, Cd2-BTPPA, with a similar composition, respectively. With different inorganic nodes, the stacking of chromophores, π···π interactions, and ligand geometry were found to correlate with the enhanced TPEF in Cd3-BTPPA and the blue-shifted TPEF in Zn-BTPPA. This work serves as an inspiration for designing efficient TPEF MOF materials based on the structure-property relationship.

Cross-lagged analysis of social support, physical activity behavior, and family relationships among university students.

Objective: To explore the causal relationship between social support, physical activity behavior, and family relationships among university students. Methods: Using the Social Support Rating Scale, the Physical Activity Behavior Self-Assessment Scale, and the Family Relationships Scale, a longitudinal follow-up survey was conducted on 412 college students in Sichuan Province at 2-month intervals in March 2024 (T1) and May 2024 (T2), to analyze the interaction mechanisms between college students' social support, physical activity behaviors, and family relationships through cross-lagging. Results: (1) There are significant gender differences in social support, physical activity behavior, and family relationships among college students. Among the cross-lagged paths found, except for the path from T1 social support to T2 family relationships (ß: 0.40 > 0.21), all other cross-lagged paths are smaller for female college students compared to male college students; (2) T1 social support was able to positively predict T2 physical activity behaviors (ß = 0.50, p < 0.001), and T1 physical activity behavior can also positively predict T2 social support (ß = 0.18, p < 0.01), but the path value T1 social support → T2 physical activity behavior is larger than T1 physical activity behavior → T2 social support. Therefore, social support is a causal variable for physical activity behavior; (3) T1 social support positively predicts T2 family relationships (ß = 0.26, p < 0.001); (4) T1 family relationships positively predict T2 physical activity behavior (ß = 0.30, p < 0.001). (5) Physical activity behavior is a mediating variable between family relationships and social support, with a mediating effect size of 0.054. Conclusion: There are gender differences in social support, physical activity behavior, and family relationships among college students; there is a longitudinal causal relationship between social support, physical activity behavior, and family relationships; social support is a causal variable of physical activity behavior, and social support is also a causal variable of family relationships, and family relationships are the Social support is a causal variable for physical activity behavior, social support is also a causal variable for family relations, and family relations are a causal variable for physical activity behavior, which has a partially mediating role in family relations and social support.

Structural Basis for Methine Excision by a Heme Oxygenase-like Enzyme.

Heme oxygenase-like domain-containing oxidases (HDOs) are a rapidly expanding enzyme family that typically use dinuclear metal cofactors instead of heme. FlcD, an HDO from the opportunistic pathogen Pseudomonas aeruginosa, catalyzes the excision of an oxime carbon in the biosynthesis of the copper-containing antibiotic fluopsin C. We show that FlcD is a dioxygenase that catalyzes a four-electron oxidation. Crystal structures of FlcD reveal a mononuclear iron in the active site, which is coordinated by two histidines, one glutamate, and the oxime of the substrate. Enzyme activity, Mössbauer spectroscopy, and electron paramagnetic resonance spectroscopy analyses support the usage of a mononuclear iron cofactor. This cofactor resembles that of mononuclear non-heme iron-dependent enzymes and breaks the paradigm of dinuclear HDO cofactors. This study begins to illuminate the catalytic mechanism of methine excision and indicates convergent evolution of different lineages of mononuclear iron-dependent enzymes.

From hate to harmony: Leveraging large language models for safer speech in times of COVID-19 crisis.

This study investigates the rampant spread of offensive and derogatory language during the COVID-19 pandemic and aims to mitigate it through machine learning. Employing advanced Large Language Models (LLMs), the research develops a sophisticated framework adept at detecting and transforming abusive and hateful speech. The project begins by meticulously compiling a dataset, focusing specifically on Chinese language abuse and hate speech. It incorporates an extensive list of 30 pandemic-related terms, significantly enriching the resources available for this type of research. A two-tier detection model is then introduced, achieving a remarkable accuracy of 94.42 % in its first phase and an impressive 81.48 % in the second. Furthermore, the study enhances paraphrasing efficiency by integrating generative AI techniques, primarily Large Language Models, with a Latent Dirichlet Allocation (LDA) topic model. This combination allows for a thorough analysis of language before and after modification. The results highlight the transformative power of these methods. They show that the rephrased statements not only reduce the initial hostility but also preserve the essential themes and meanings. This breakthrough offers users effective rephrasing suggestions to prevent the spread of hate speech, contributing to more positive and constructive public discourse.

A predictive model for L-T4 dose in postoperative DTC after RAI therapy and its clinical validation in two institutions.

Purpose: To develop a predictive model using machine learning for levothyroxine (L-T4) dose selection in patients with differentiated thyroid cancer (DTC) after resection and radioactive iodine (RAI) therapy and to prospectively validate the accuracy of the model in two institutions. Methods: A total of 266 DTC patients who received RAI therapy after thyroidectomy and achieved target thyroid stimulating hormone (TSH) level were included in this retrospective study. Sixteen clinical and biochemical characteristics that could potentially influence the L-T4 dose were collected; Significant features correlated with L-T4 dose were selected using machine learning random forest method, and a total of eight regression models were established to assess their performance in prediction of L-T4 dose after RAI therapy; The optimal model was validated through a two-center prospective study (n=263). Results: Six significant clinical and biochemical features were selected, including body surface area (BSA), weight, hemoglobin (HB), height, body mass index (BMI), and age. Cross-validation showed that the support vector regression (SVR) model was with the highest accuracy (53.4%) for prediction of L-T4 dose among the established eight models. In the two-center prospective validation study, a total of 263 patients were included. The TSH targeting rate based on constructed SVR model were dramatically higher than that based on empirical administration (Rate 1 (first rate): 52.09% (137/263) vs 10.53% (28/266); Rate 2 (cumulative rate): 85.55% (225/263) vs 53.38% (142/266)). Furthermore, the model significantly shortens the time (days) to achieve target TSH level (62.61 ± 58.78 vs 115.50 ± 71.40). Conclusions: The constructed SVR model can effectively predict the L-T4 dose for postoperative DTC after RAI therapy, thus shortening the time to achieve TSH target level and improving the quality of life for DTC patients.

ROS-triggered and macrophage-targeted micelles modulate mitochondria function and polarization in obesity.

Inflammation involving adipose macrophages is an important inducer of obesity. Regulating macrophages polarization and improving the inflammatory microenvironment of adipose tissue is a new strategy for the treatment of obesity. An amphiphilic chondroitin sulfate phenylborate derivative (CS-PBE) was obtained by modifying the main chain of chondroitin sulfate with the hydrophobic small molecule phenylborate. Using CS-PBE self-assembly, macrophage targeting, reactive oxygen species (ROS) release and celastrol (CLT) encapsulation were achieved. The cytotoxicity, cellular uptake, internalization pathways and transmembrane transport efficiency of CS-PBE micelles were studied in Caco-2 and RAW264.7 cells. Hemolysis and organotoxicity tests were performed to assess the safety of the platform, while its therapeutic efficacy was investigated in high-fat diet-induced obese mice. Multifunctional micelles with macrophage targeting and ROS clearance capabilities were developed to improve the efficacy of CLT in treating obesity.In vitrostudies indicated that CS-PBE micelles had better ability to target M1 macrophages, better protective effects on mitochondrial function, better ability to reduce the number of LPS-stimulated M1 macrophages, better ability to reduce the number of M2 macrophages, and better ability to scavenge ROS in inflammatory macrophages.In vivostudies have shown that CS-PBE micelles improve inflammation and significantly reduce toxicity of CLT in the treatment of obesity. In summary, CS-PBE micelles could significantly improve the ability to target inflammatory macrophages and scavenge ROS in adipose tissue to alleviate inflammation, suggesting that CS-PBE micelles are a highly promising approach for the treatment of obesity.

Recent advances in catalytic enantioselective construction of monofluoromethyl-substituted stereocenters.

Chiral organofluorine compounds featuring a monofluoromethyl (CH2F)-substituted stereocenter are often encountered in a number of drugs and bioactive molecules. Consequently, the development of catalytic asymmetric methods for the enantioselective construction of CH2F-substituted stereocenters has made great progress over the past two decades, and a variety of enantioselective transformations have been accordingly established. According to the types of fluorinated reagents or substrates employed, these protocols can be divided into the following major categories: (i) enantioselective ring opening of epoxides or azetidinium salts by fluoride anions; (ii) asymmetric monofluoromethylation with 1-fluorobis(phenylsulfonyl)methane; (iii) asymmetric fluorocyclization of functionalized alkenes with Selectfluor; and (iv) asymmetric transformations involving α-CH2F ketones, α-CH2F alkenes, or other CH2F-containing substrates. This feature article aims to summarize these recent advances and discusses the possible reaction mechanisms, advantages and limitations of each protocol and their applications. Synthetic opportunities still open for further development are illustrated as well. This review article will be an inspiration for researchers engaged in asymmetric catalysis, organofluorine chemistry, and medicinal chemistry.

Cannabidiol suppresses silica-induced pulmonary inflammation and fibrosis through regulating NLRP3/TGF-ß1/Smad2/3 pathway.

Silica-induced pulmonary fibrosis is an irreversible and progressive lung disease with limited treatments available. In this work, FDA-approved cannabidiol (CBD) was studied for its potential medical use in silicosis. In silicosis female C57BL/6 mice model, oral CBD or pirfenidone (PFD) on day 1 after intratracheal drip silica (150 mg/mL) and continued for 42 days. Lung inflammatory and fibrotic changes were studied using ELISA kits, H&E staining and Masson staining. Osteopontion (OPN) and α-smooth muscle actin (α-SMA) expression in lung tissues was determined using immunohistochemical staining. The results indicated that CBD attenuated silica-induced pulmonary inflammation and fibrosis. Human myeloid leukemia mononuclear cells (THP-1) were treated with silica (200 µg/mL) to induce cell damage, then CBD (10 µM, 20 µM) and PFD (100 µM) were incubated. In vitro experiments showed that CBD can effectively reduce the expression of NLRP3 inflammasome in THP-1 cells and subsequently block silica-stimulated transformation of fibromuscular-myofibroblast transition (FMT) by culturing human embryonic lung fibroblasts (MRC-5) in conditioned medium of THP-1 cells. Therefore, CBD exhibited the potential therapy for silicosis through inhibiting the silica-induced pulmonary inflammation and fibrosis via the NLRP3/TGF-ß1/Smad2/3 signaling pathway.