miRNA-21-5p is an important contributor to the promotion of injured peripheral nerve regeneration using hypoxia-pretreated bone marrow-derived neural crest cells.

JOURNAL/nrgr/04.03/01300535-202501000-00035/figure1/v/2024-05-14T021156Z/r/image-tiff Our previous study found that rat bone marrow-derived neural crest cells (acting as Schwann cell progenitors) have the potential to promote long-distance nerve repair. Cell-based therapy can enhance peripheral nerve repair and regeneration through paracrine bioactive factors and intercellular communication. Nevertheless, the complex contributions of various types of soluble cytokines and extracellular vesicle cargos to the secretome remain unclear. To investigate the role of the secretome and extracellular vesicles in repairing damaged peripheral nerves, we collected conditioned culture medium from hypoxia-pretreated neural crest cells, and found that it significantly promoted the repair of sensory neurons damaged by oxygen-glucose deprivation. The mRNA expression of trophic factors was highly expressed in hypoxia-pretreated neural crest cells. We performed RNA sequencing and bioinformatics analysis and found that miR-21-5p was enriched in hypoxia-pretreated extracellular vesicles of neural crest cells. Subsequently, to further clarify the role of hypoxia-pretreated neural crest cell extracellular vesicles rich in miR-21-5p in axonal growth and regeneration of sensory neurons, we used a microfluidic axonal dissociation model of sensory neurons in vitro, and found that hypoxia-pretreated neural crest cell extracellular vesicles promoted axonal growth and regeneration of sensory neurons, which was greatly dependent on loaded miR-21-5p. Finally, we constructed a miR-21-5p-loaded neural conduit to repair the sciatic nerve defect in rats and found that the motor and sensory functions of injured rat hind limb, as well as muscle tissue morphology of the hind limbs, were obviously restored. These findings suggest that hypoxia-pretreated neural crest extracellular vesicles are natural nanoparticles rich in miRNA-21-5p. miRNA-21-5p is one of the main contributors to promoting nerve regeneration by the neural crest cell secretome. This helps to explain the mechanism of action of the secretome and extracellular vesicles of neural crest cells in repairing damaged peripheral nerves, and also promotes the application of miR-21-5p in tissue engineering regeneration medicine.

Tirzepatide administration improves cognitive impairment in HFD mice by regulating the SIRT3-NLRP3 axis.

PURPOSE: High-fat diet (HFD) currently is reported that in connection with cognitive impairment. Tirzepatide is a novel dual receptor agonist for glycemic control. But whether Tirzepatide exerts a protective effect in HFD-related cognitive impairment remains to be explore. METHODS: During the study, the cognitive dysfunction mice model induced by HFD were established. The expressions synapse-associated protein and other target proteins were detected. The oxidative stress parameters, levels of inflammatory cytokine were also detected. RESULTS: Our findings proved that Tirzepatide administration attenuates high fat diet-related cognitive impairment. Tirzepatide administration suppresses microglia activation, alleviates oxidative stress as well as suppressed the expression of NLRP3 in HFD mice by up-regulating SIRT3 expression. In conclusion, Tirzepatide attenuates HFD-induced cognitive impairment through reducing oxidative stress and neuroinflammation via SIRT3-NLRP3 signaling. CONCLUSION: This study suggest that Tirzepatide has neuroprotective effects in HFD-related cognitive dysfunction mice model, which provides a promising treatment of HFD-related cognitive impairment.

Clinical Effectiveness and Safety of Colistin Sulphate in Treating Infections Caused by Carbapenem-Resistant Organisms and Analysis of Influencing Factors.

Objective: To assess the efficacy and safety of colistin sulfate in treating infections caused by carbapenem-resistant organisms (CRO) and to analyze potential factors impacting its effectiveness. Methods: In this retrospective study, medical records of CRO-infected patients from June 2020 to June 2023 were analyzed, divided into effective and ineffective treatment groups, and compared for clinical outcomes and adverse reactions. Multifactorial logistic regression and ROC curve analysis were used to identify influencing factors. Results: The study included 226 patients, with 124 in the effective treatment group and 102 in the ineffective group. A total of 293 CRO strains were cultured. The clinical efficacy rate of colistin sulfate was 54.87%, the microbiological efficacy rate 46.46%, and the hospital mortality rate 20.80%, with nephrotoxicity observed in 11.50% of patients. Multifactorial analysis identified APACHE II scores and vasoactive drug use as independent predictors of ineffective treatment, while treatment duration and albumin levels predicted effective treatment. ROC analysis indicated that albumin levels >34 g/L, APACHE II scores <13, and treatment duration >10 days correlated with better clinical efficacy. Conclusion: Colistin sulfate is both safe and effective in clinical settings. Factors such as treatment duration, albumin levels, APACHE II scores, and vasoactive drug use independently affect its clinical efficacy, providing valuable guidance for its informed clinical application.

A derivative of honokiol HM568 has an anti-neuroinflammatory effect in Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurodegenerative disease in the world at present. Neuroinflammation plays an important role in Parkinson's disease. In our study, we initially screened magnolol/honokiol derivatives synthesized by our group for their potential anti-neuroinflammatory properties. This was done using LPS-activated BV-2 microglial cell and MPP + -induced PC-12 cell models. Most of derivatives had increased anti-inflammatory activities and decreased toxicities compared to raw materials. Then, compounds were scored with inflammatory factors IL-1ß, TNF-α and IL-6 by molecular docking in silico. Our studies revealed the strongest binding compound HM568 which binds with honokiol and metformin. Furthermore, HM568 showed no acute toxicity in mice through acute toxicity. And it is stable under high temperature, high humidity and strong light irradiation. Combining cell experiments and computer results, HM568 was considered for further in vivo pharmacological validations. Intraperitoneal injection administration of MPTP into C57BL/6 mice was utilized as Parkinson's animal model. Results showed that administration of HM568 for 14 days in MPTP-PD mice led to a significant alleviation in weight loss and movement disorders. Further HM568 could significantly down-regulate the expression levels of inflammatory factors IL-1ß, IL-6 and TNF-α in brain tissue of the mouse model, reduce the level of caspase-3 and the ratio of Bcl-2/Bax, and up-regulate the level of transforming factor TGF-ß, thus producing anti-apoptosis and anti-neuroinflammatory effects on neuronal cells. In terms of pathological features, HM568 could reduce the infiltration of neuronal cells and alleviate the development of lesions, promote the transformation of microglia from M1 negative phenotype to M2 type, and reverse the reduction of TH-positive immune cells in mouse neurons induced by MPTP. The administration of HM568 could reduce the abnormal accumulation of α-syn, and thus produce neuroprotective effect on MPTP-PD mice. Cell experiments, molecular docking and animal experiments thus depict HM568 as a promising agent to delay neuronal degeneration in PD, and its mechanism is related to anti-neuroinflammation.

Organic super-reducing photocatalysts generate solvated electrons via two consecutive photon induced processes.

Photocatalysts with extremely strong reducing potential are often thought to operate through a consecutive photoinduced electron transfer (ConPeT) mechanism, where a first photon generates the radical anion of the photocatalyst via electron transfer and a second photon excites the radical anion into a super-reducing agent. Among them, 4CzIPN, (2,4,5,6-tetrakis(9H-carbazol-9-yl) isophthalonitrile) and the analogous 4DPAIPN (2,4,5,6-tetrakis(diphenylamino)isophthalonitrile) are supposed to operate following this principle, but the knowledge of the photophysical properties of the photogenerated radical anions is still very limited. An in-depth spectroscopic and computational study of their radical anions demonstrates that the excited states of 4CzIPN˙- and 4DPAIPN˙- are not behaving as super-reducing agents: they are very short lived (ca. 20 ps), not emissive and not quenched by common organic substrates. Most importantly, longer lived solvated electrons are generated upon excitation of these radical anions in acetonitrile and we propose that it is the solvated electron the species responsible for the exceptional reducing capability of this photocatalytic system.

A de novo zwitterionic strategy of ultra-stable chemiluminescent probes: highly selective sensing of singlet oxygen in FDA-approved phototherapy.

Singlet oxygen (1O2), as a fundamental hallmark in photodynamic therapy (PDT), enables ground-breaking clinical treatment in ablating tumors and killing germs. However, accurate in vivo monitoring of 1O2 remains a significant challenge in probe design, with primary difficulties arising from inherent photo-induced side reactions with poor selectivity. Herein, we report a generalizable zwitterionic strategy for ultra-stable near-infrared (NIR) chemiluminescent probes that ensure a highly specific [2 + 2] cycloaddition between fragile electron-rich enolether units and 1O2 in both cellular and dynamic in vivo domains. Innovatively, zwitterionic chemiluminescence (CL) probes undergo a conversion into an inert ketone excited state with an extremely short lifetime through conical intersection (CI), thereby affording sufficient photostability and suppressing undesired photoreactions. Remarkably, compared with the well-known commercial 1O2 probe SOSG, the zwitterionic probe QMI exhibited an ultra-high signal-to-noise ratio (SNR, over 40-fold). Of particular significance is that the zwitterionic CL probes demonstrate excellent selectivity, high sensitivity, and outstanding photostability, thereby making a breakthrough in real-time tracking of the FDA-approved 5-ALA-mediated in vivo PDT process in living mice. This innovative zwitterionic strategy paves a new pathway for high-performance NIR chemiluminescent probes and high-fidelity feedback on 1O2 for future biological and medical applications.

Association between hydration status and the risk and all-cause mortality of diabetic kidney disease.

BACKGROUND: This cohort study aimed to explore the relationship between hydration status and the risk of diabetic kidney disease (DKD) as well as all-cause death in DKD patients. METHODS: Weighted univariable and multivariable logistic regression models were used to explore the association between hydration status and DKD risk in diabetic population while weighted univariable and multivariable Cox regression models were used to identify the association between hydration status and all-cause mortality in DKD patients. Kaplan-Meier curve was plotted to present the survival probability of patients with different hydration status. Estimates were presented as odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI). RESULTS: The mean follow-up time was 79.74 (±1.89) months. There were 2041 participants with DKD, and 2889 participants without. At the end of the follow-up, 965 participants were alive. The risk of DKD was increased as the increase of osmolarity level (OR = 1.07, 95%CI: 1.05-1.08). The elevated risk of DKD was observed in patients with impending dehydration (OR = 1.49, 95%CI: 1.19-1.85) or current dehydration (OR = 2.69, 95%CI: 2.09-3.46). The association between increased osmolarty level and elevated risk of all-cause mortality in DKD patients was statistically different (HR = 1.02, 95%CI: 1.01-1.03). Current dehydration was correlated with increased all-cause mortality risk in DKD patients (HR = 1.27, 95%CI: 1.01-1.61). Compared to DKD patients with normal hydration, the survival probability of DKD patients with current dehydration was significant lower (p < 0.001). CONCLUSION: Increased osmolarity level was associated with increased risk of DKD and elevated risk of all-cause mortality in DKD patients.

The m6A reader IGF2BP2 promotes ESCC progression by stabilizing HDGF mRNA.

OBJECTIVE: This study aimed to explore the role of IGF2BP2 in esophageal squamous cell carcinoma (ESCC) progression. MATERIALS AND METHODS: The Cancer Genome Atlas (TCGA) dataset, transcriptome sequencing, and the Gene Expression Omnibus (GEO) dataset were used to detect the expression of m6A-associated genes in ESCC. The in vitro and in vivo assays were used to explore the role of IGF2BP2 in ESCC. RESULTS: IGF2BP2 was significantly overexpressed in human ESCC specimens, which was confirmed by analyzing the GEO dataset. IGF2BP2 overexpression was correlated with poor prognosis in patients with ESCC. Altering the expression of IGF2BP2 influenced the proliferation, migration, and invasion of ESCC cells in vitro and tumorigenicity in vivo. IGF2BP2 could bind to and stabilize hepatoma-derived growth factor (HDGF) transcripts in ESCC in an m6A-dependent manner and promote HDGF expression. CONCLUSIONS: These findings indicate that the novel IGF2BP2-HDGF axis is pivotal for ESCC cancer progression and can serve as a target for developing therapeutics.

Identification of biomarkers associated with pathological tumor staging and their utility in the diagnosis and prognosis of prostate cancer.

OBJECTIVE: Pathological tumor (pT) staging plays a crucial role in prostate cancer (PCa) diagnosis. This study aimed to identify pT stage-associated biomarkers and explored their utility in PCa prognosis. METHODS: GSE69223 was used to identify potential targets differentially expressed between level 2 of pT staging (pT2) and level 3 of pT staging (pT3). Quantitative reverse transcriptase-polymerase chain reaction and immunohistochemistry were performed on tissues from patients with PCa to screen the pT stage-associated targets and to explore the prognostic value of these targets in PCa. RESULTS: CENPI and SLC38A11 were most significantly upregulated, whereas ANO6 and KANK2 were mostly decreased in pT3 tumors compared with pT2 staging. ANO6 levels were negatively associated with preoperative prostate-specific antigen (PSA) levels, lymph node staging (N staging), Gleason score, and overall survival (OS); CENPI was positively associated with preoperative PSA levels, N staging, and OS, but was not associated with the Gleason score; SLC38A11 and KANK2 were not associated with OS. ANO6 and KANK2 were correlated with neutrophil markers, whereas CENPI was correlated with macrophage M2 types. CONCLUSION: We identified 4 reliable PCa biomarkers associated with pT staging that would be valuable for diagnosing and determining PCa prognosis.

The structure of mouse RIPK1 RHIM-containing domain as a homo-amyloid and in RIPK1/RIPK3 complex.

Receptor-interacting protein kinase 1 (RIPK1) is a therapeutic target in treating neurodegenerative diseases and cancers. RIPK1 has three distinct functional domains, with the center domain containing a receptor-interacting protein homotypic interaction motif (RHIM), which mediates amyloid formation. The functional amyloid formed by RIPK1 and/or RIPK3 is a crucial intermediate in regulating cell necroptosis. In this study, the amyloid structure of mouse RIPK1, formed by an 82-residue sequence centered at RHIM, is presented. It reveals the "N"-shaped folding of the protein subunit in the fibril with four ß-strands. The folding pattern is shared by several amyloid structures formed by proteins with RHIM, with the central ß-strand formed by the most conserved tetrad sequence I/VQI/VG. However, the solid-state NMR results indicate a structural difference between mouse RIPK1 and mouse RIPK3. A change in the structural rigidity is also suggested by the observation of weakened signals for mouse RIPK3 upon mixing with RIPK1 to form the RIPK1/RIPK3 complex fibrils. Our results provide vital information to understand the interactions between different proteins with RHIM, which will help us further comprehend the regulation mechanism in cell necroptosis.

Effect of Ilex hainanensis Merr. On HFD-induced nonalcoholic fatty liver disease and rebalance of gut microbiota and bile acids metabolism in mice.

Nonalcoholic fatty liver disease (NAFLD) is a clinicopathological syndrome characterized by excessive intracellular fat deposition in the hepatocytes, and the development is exacerbated by gut microbiota and bile acids metabolism disorders. Ilex hainanensis Merr. is a traditional medicine of the Zhuang nationality, historically esteemed for its efficacy in lowering blood pressure and lipid levels. This study aimed to investigate the pharmacodynamic effects in NAFLD mice and impacts on gut microbiota and bile acids (BAs) metabolism of I. hainanensis extract (IHA). 16 compounds were identified from IHA by HPLC-DAD-MS analysis. IHA significantly reduced body weight indexs, alanine transaminase (ALT) and aspartate transaminase (AST) activities, improved dyslipidemia and insulin resistance (IR), and effectively ameliorated hepatic steatosis in HFD-induced NAFLD mice. IHA also altered gut microbiota composition, particularly enhancing the abundance of bacteria involved in BAs metabolism, as well as augmented BAs synthesis in the liver and increased fecal excretion. In conclusion, our findings suggest that IHA holds promise in improving NAFLD conditions and modulating gut microbiota and BAs metabolism. These insights contribute to a deeper understanding of the mechanisms underlying IHA-mediated alleviation of lipid accumulation in NAFLD.

Emotions in English language classrooms among Chinese top university students.

The role of learner emotions in language learning has long been observed and researched. Of various emotions, foreign language anxiety, enjoyment and boredom have been the most often researched, while research on other emotions like pride and sadness is hardly available in the current literature. Research on emotions in students with special characteristics can be hardly found as well. Hence, this study collected interview data from 26 and survey data from 520 top students in two universities in China to examine their emotions in English language class. Analyses of the data revealed the following major findings: (a) The participants experienced a diversity of emotions in their English language class due to both learner-internal and external reasons, but the most often reported emotions were anxiety, enjoyment and boredom, (b) significant correlations existed among the students' English language classroom anxiety, enjoyment and boredom, (c) English language classroom anxiety and boredom significantly negatively while enjoyment significantly positively predicted the students' English test performance, and (d) English language classroom anxiety debilitated English learning but motivated students to study harder as well; enjoyment facilitated English learning but students might forget much of what had been learned after class; though boredom caused some students to be absent-minded in class, most students would study on their own when feeling bored. These findings further pinpoint the important role and complex nature of learner emotions in second/foreign language learning. Based on these findings, specific suggestions for language teachers and learners are discussed.

BMAL1/PGC1α4-FNDC5/irisin axis impacts distinct outcomes of time-of-day resistance exercise.

BACKGROUND: Resistance exercise leads to improved muscle function and metabolic homeostasis. Yet how circadian rhythm impacts exercise outcomes and its molecular transduction remains elusive. METHODS: Human volunteers were subjected to 4 weeks of resistance training protocols at different times of day to assess training outcomes and their associations with myokine irisin. Based on rhythmicity of Fibronectin type III domain containing 5 (FNDC5/irisin), we trained wild type and FNDC5 knockout mice at late active phase (high FNDC5/irisin level) or late rest phase (low FNDC5/irisin level) to analyze exercise benefits on muscle function and metabolic homeostasis. Molecular analysis was performed to understand the regulatory mechanisms of FNDC5 rhythmicity and downstream signaling transduction in skeletal muscle. RESULTS: In this study, we showed that regular resistance exercises performed at different times of day resulted in distinct training outcomes in humans, including exercise benefits and altered plasma metabolomics. We found that muscle FNDC5/irisin levels exhibit rhythmicity. Consistent with human data, compared to late rest phase (low irisin level), mice trained chronically at late active phase (high irisin level) gained more muscle capacity along with improved metabolic fitness and metabolomics/lipidomics profiles under a high-fat diet, whereas these differences were lost in FNDC5 knockout mice. Mechanistically, Basic helix-loop-helix ARNT like 1 (BMAL1) and Peroxisome proliferative activated receptor, gamma, coactivator 1 alpha 4 (PGC1α4) induce FNDC5/irisin transcription and rhythmicity, and the signaling is transduced via αV integrin in muscle. CONCLUSION: Together, our results offered novel insights that exercise performed at distinct times of day determines training outcomes and metabolic benefits through the rhythmic regulation of the BMAL1/PGC1α4-FNDC5/irisin axis.

Vibration source analysis and structural optimization design of rotary table based on OTPA.

Due to the influence of coal rock shape, hardness, working environment and other factors in the cutting process of cantilever roadheader, the cutting head will produce irregular and violent vibration. As the rotary table of key stress components, its operation process stability, dynamic reliability and life affect the cutting efficiency and cutting stability of cantilever roadheader. In order to study the vibration characteristics of the rotary table in the cutting process, firstly, based on the theory of spatial force analysis and calculation, the spatial mechanical model of the rotary table of the cantilever roadheader is established. By solving the balance equation of the rotary table force system, the variation law of the load at the hinge ear of the rotary table with the cutting pitch angle and the horizontal angle is obtained. Secondly, based on the path transfer analysis method of working condition, the vibration data of cutting head, cutting cantilever, cutting lifting and rotary hydraulic cylinder under stable cutting condition are taken as input signals. By constructing the transfer path analysis model of rotary table working condition, the synthetic vibration of rotary table in cutting process is simulated, and the main vibration source of rotary table is determined. Then, the vibration contribution and contribution degree of each vibration excitation point to the hinge ear of rotary table are studied. By building a cutting test bench, the vibration response of rotary table in cutting process is tested to verify the correctness of the theoretical model.Thirdly, based on the frequency domain analysis method of random vibration fatigue life, combined with the S-N curve of the rotary table, the PSD curve at the maximum stress of the rotary table is obtained by modal excitation method, and the load data is imported into ANSYS nCode software to obtain the life cloud diagram and damage cloud diagram of the rotary table, and then the fatigue life of the rotary table under symmetrical cyclic load is solved. Finally, based on the response surface optimization analysis method, the maximum stress and maximum deformation of the rotary table are taken as the optimization objectives, and the aperture of each hinge ear of the rotary table is taken as the optimization variable. Based on Design Expert, a second-order regression model is established to realize the multi-objective optimization design of the key stress parts of the rotary table in the cutting process. The simulation results show that under the same cutting conditions, the maximum stress of the optimized rotary table is reduced by 15.82% year-on-year, and the maximum deformation is reduced by 24.70% year-on-year. The optimized rotary table structure can better adapt to the cutting process, which is beneficial to improve the service life of the rotary table and enhance its operation stability. The research results are beneficial to enrich the relevant research theory in the field of rotary table vibration of cantilever roadheader, and are beneficial to improve the service life of the rotary table and the efficiency of tunneling and mining.

Normalized lactate load as an independent prognostic indicator in patients with cardiogenic shock.

BACKGROUND: Early prognosis evaluation is crucial for decision-making in cardiogenic shock (CS) patients. Dynamic lactate assessment, for example, normalized lactate load, has been a better prognosis predictor than single lactate value in septic shock. Our objective was to investigate the correlation between normalized lactate load and in-hospital mortality in patients with CS. METHODS: Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The calculation of lactate load involved the determination of the cumulative area under the lactate curve, while normalized lactate load was computed by dividing the lactate load by the corresponding period. Receiver Operating Characteristic (ROC) curves were constructed, and the evaluation of areas under the curves (AUC) for various parameters was performed using the DeLong test. RESULTS: Our study involved a cohort of 1932 CS patients, with 687 individuals (36.1%) experiencing mortality during their hospitalization. The AUC for normalized lactate load demonstrated significant superiority compared to the first lactate (0.675 vs. 0.646, P < 0.001), maximum lactate (0.675 vs. 0.651, P < 0.001), and mean lactate (0.675 vs. 0.669, P = 0.003). Notably, the AUC for normalized lactate load showed comparability to that of the Sequential Organ Failure Assessment (SOFA) score (0.675 vs. 0.695, P = 0.175). CONCLUSION: The normalized lactate load was an independently associated with the in-hospital mortality among CS patients.

Validation of IGA*BSA in Assessing Disease Severity and Response in Patients with Atopic Dermatitis: A Retrospective Cohort Study in China.

Background: Accurate evaluation of atopic dermatitis (AD) severity is crucial to determine and adjust treatment options. Previous studies have found the product of Investigator's Global Assessment (IGA) and affected body surface area (BSA) to be a simple tool, which requires further verification. Objective: To determine the validity of IGA*BSA in assessing the severity of AD across all age, sex, BMI and disease severity groups. Method: We performed a retrospective study of AD using data from a national cohort (China Type II Inflammatory Skin Disease Clinical Research and Standardized Diagnosis and Treatment Project). Results: Overall, 3051 participants were included in the final analysis. IGA*BSA correlated better with objective measures than with subjective measures. IGA*BSA significantly correlated with Eczema Area and Severity Index (EASI) (r = 0.81), which was stronger than either IGA or BSA alone with EASI, regardless of age, sex, Body Mass Index (BMI), and disease severity groups. Besides, IGA*BSA mild, moderate, and severe groups were associated with significantly higher scores of other assessments and had moderate to fair concordance with other assessments severity strata. At follow-up, the concordance of improvement between IGA*BSA 50/75/90 and EASI 50/75/90 was observed (ĸ = 0.65, 0.62, 0.58, respectively). Conclusion: IGA*BSA appears to be a valid objective assessment of AD severity and improvement over time across all age, sex, BMI, and disease severity subgroups in the clinical practice.

Pharmacological Components and Mechanism Research on the Treatment of Myelosuppression after Chemotherapy with Danggui Jixueteng Decoction Based on Spectrum-Effect Relationships and Transcriptome Sequencing.

Danggui Jixueteng decoction (DJD) has been used to treat anemia for many years and has been shown to be effective. However, the mechanism of action and effective components are yet unknown. We want to search for pharmacodynamic components in DJD with therapeutic effects on myelosuppression after chemotherapy (MAC), utilizing a spectrum-effect connection study based on gray relational analysis and partial least-squares regression analysis. Transcriptome sequencing (RNA-Seq) was used to investigate the mechanism by which DJD treats MAC. In this study, fingerprints of different batches of DJD (S1-S10) were established by ultraperformance liquid chromatography-mass spectrometry (UPLC-MS), after which the resulting shared peaks were screened and identified. A total of 21 common peaks were screened through the fingerprints of different batches of DJD, and the similarity of each profile was greater than 0.92. The 21 shared peaks were identified by comparison with the standard sample and searching on a MassLynx 4.1 workstation. The rat model of MAC was established by intraperitoneal injection of cyclophosphamide, and DJD treatment was carried out in parallel with the establishment of the model. White blood cell count, red blood cell count, platelet count, interleukin-3, hemoglobin concentration, granulocyte-macrophage colony-stimulating factor, and nucleated cell count were used as efficacy indicators. Pharmacodynamic results indicated that DJD could effectively improve the pharmacodynamic indices of MAC rats. The results of gray relational analysis demonstrated eight peaks with high correlation with efficacy, which were 2, 7, 10, 14, 15, 16, 18, and 21, and the partial least-squares regression analysis showed four peaks with variable importance in projection values greater than 1, which were 10, 12, 13, and 19. RNA-Seq was used to identify DEGs in rat bone marrow cells, Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were performed. The genes related to the effects of DJD on MAC were mainly involved in the phosphatidylinositol 3-kinase/serine-threonine kinase (PI3K-Akt) signaling pathway, the mitogen-activated protein kinase signaling pathway, actin cytoskeleton regulation, focal adhesion, and Rap1 signaling pathways. The results of the RNA-Seq study were confirmed by a qPCR experiment. The effective compounds of DJD against MAC include albiflorin, paeoniflorin, gallopaeoniflorin, salvianolic acid H/I, albiflorin R1, salvianolic acid B, salvianolic acid E, benzoylpaeoniflorin, and C12H18N5O4. The mechanism by which DJD prevents and treats MAC might involve the control of the PI3K-Akt signaling pathway.

Histone ß-hydroxybutyrylation is critical in reversal of sarcopenia.

Sarcopenia, a leading cause for global disability and mortality, is an age-related muscular disorder, characterized by accelerated muscle mass loss and functional decline. It is known that caloric restriction (CR), ketogenic diet or endurance exercise lessen sarcopenia and elevate circulating ß-hydroxybutyrate (ß-HB) levels. Whether the elevated ß-HB is essential to the reversal of sarcopenia, however, remains unclear. Here we show in both Caenorhabditis elegans and mouse models that an increase of ß-HB reverse myofiber atrophy and improves motor functions at advanced ages. ß-HB-induced histone lysine ß-hydroxybutyrylation (Kbhb) is indispensable for the reversal of sarcopenia. Histone Kbhb enhances transcription of genes associated with mitochondrial pathways, including oxidative phosphorylation, ATP metabolic process and aerobic respiration. This ultimately leads to improve mitochondrial integrity and enhance mitochondrial respiration. The histone Kbhb are validated in mouse model with CR. Thus, we demonstrate that ß-HB induces histone Kbhb, increases mitochondrial function, and reverses sarcopenia.

Safety, tolerability and pharmacokinetics of ASC10, a novel oral double prodrug of a broad-spectrum antiviral agent, ß-d-N4-hydroxycytidine: results from a randomized, double-blind, placebo-controlled phase 1 study in Chinese healthy subjects.

BACKGROUND: Considering the rise of new SARS-CoV-2 variants that have reduced the efficacy of COVID-19 vaccines, the development of new antiviral medications for the disease has become increasingly necessary. In this study, ASC10, a novel antiviral prodrug, was studied in a phase 1 trial in healthy Chinese participants. RESEARCH DESIGN AND METHODS: Part 1 involved 60 participants, receiving 50-800 mg ASC10 or placebo twice daily for 5.5 days. Part 2, with 12 participants, explored ASC10 dosing in the fed/fasting states. RESULTS: ASC10-A, the main pharmacologically active metabolite, rapidly appeared in plasma (Tmax: 1.00-2.00 h) and decreased (t1/2: 1.10-3.04 h) without accumulation. The Cmax and area under the plasma concentration - time curve (AUC) of ASC10-A increased dose-dependently (50-800 mg BID) over 5.5 days, with no accumulation. The Tmax was slightly delayed in the fed state; however, the Cmax and AUC were similar between the fed and fasting states. Adverse events (AEs) were comparable (ASC10/placebo, 66.7%) and mostly mild (95%). CONCLUSION: ASC10 was demonstrated to be safe and well tolerated and exhibited dose-proportional exposure and minimal food effects. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov identifier is NCT05523141.

D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network.

Predicting individual behavior is a crucial area of research in neuroscience. Graph Neural Networks (GNNs), as powerful tools for extracting graph-structured features, are increasingly being utilized in various functional connectivity (FC) based behavioral prediction tasks. However, current predictive models primarily focus on enhancing GNNs' ability to extract features from FC networks while neglecting the importance of upstream individual network construction quality. This oversight results in constructed functional networks that fail to adequately represent individual behavioral capacity, thereby affecting the subsequent prediction accuracy. To address this issue, we proposed a new GNN-based behavioral prediction framework, named Dual Multi-Hop Graph Convolutional Network (D-MHGCN). Through the joint training of two GCNs, this framework integrates individual functional network construction and behavioral prediction into a unified optimization model. It allows the model to dynamically adjust the individual functional cortical parcellation according to the downstream tasks, thus creating task-aware, individual-specific FCNs that largely enhance its ability to predict behavior scores. Additionally, we employed multi-hop graph convolution layers instead of traditional single-hop methods in GCN to capture complex hierarchical connectivity patterns in brain networks. Our experimental evaluations, conducted on the large, public Human Connectome Project dataset, demonstrate that our proposed method outperforms existing methods in various behavioral prediction tasks. Moreover, it produces more functionally homogeneous cortical parcellation, showcasing its practical utility and effectiveness. Our work not only enhances the accuracy of individual behavioral prediction but also provides deeper insights into the neural mechanisms underlying individual differences in behavior.