Effect of macrophage polarization on parasitic protection against type 1 diabetes mellitus.

Type 1 diabetes mellitus is a chronic disease caused by the destruction of pancreatic beta cells. Based on the hygiene hypothesis, a growing body of evidence suggests a negative association between parasitic infections and diabetes in humans and animal models. The mechanism of parasite-mediated prevention of type 1 diabetes mellitus may be related to the adaptive and innate immune systems. Macrophage polarization is a new paradigm for the treatment of type 1 diabetes mellitus, and different host macrophage subsets play various roles during parasite infection. Proinflammatory cytokines are released by M1 macrophages, which are important in the development of type 1 diabetes mellitus. Parasite-activated M2 macrophages prevent the development of type 1 diabetes mellitus and can influence the development of adaptive immune responses through several mechanisms, including Th2 cells and regulatory T cells. Here, we review the role and mechanism of macrophage polarization in parasitic protection against type 1 diabetes mellitus.

Serum levels of IL-6/IL-10/GLDH may be early recognition markers of anti-tuberculosis drugs (ATB) -induced liver injury.

To explore the potential value of serum glutamate dehydrogenase (GLDH) combined with inflammatory cytokines as diagnostic biomarkers for anti-tuberculosis drug -induced liver injury (ATB-DILI). We collected the residual serum from the patients who met the criteria after liver function tests. We have examined these parameters including GLDH which were determined by enzyme-linked immunosorbent assay and cytokines which were determined by cytokine combination detection kit. Multivariate logistics stepwise forward regression was applied to establish regression models. A total of 138 tuberculosis patients were included in the diagnostic markers study of ATB-DILI, including normal liver function group (n = 108) and ATB-DILI group(n = 30). Serum GLDH, IL-6 and IL-10 levels were significantly increased in the ATB-DILI group. Receiver operating characteristic curve (ROC) curve showed that the area under curve (AUC) of serum GLDH, IL-6 and IL-10 for the diagnosis of ATB-DILI were 0.870, 0.714 and 0.811, respectively. In logistic regression modeling, the AUC of GLDH combined with IL-10 as an ATB-DILI marker is 0.912. Serum IL-6、IL-10 and GLDH levels began to rise preceded the increase in ALT by 7 days, with significant differences in IL-6 compared with 7 days. Serum GLDH, IL-6 and IL-10 levels were correlated with the severity of liver injury. In conclusion, we found that GLDH, IL-6 and IL-10 alone as diagnostic markers of ATB-DILI had good diagnostic efficacy. Logistic regression model established by GLDH and IL-10 had better diagnostic efficacy and IL-6 may be an early predictor of liver injury in the setting of ATB poisoning.

Glutamate dehydrogenase combined with ferrochelatase as a biomarker of liver injury induced by antituberculosis drugs.

AIMS: To explore the potential value of serum glutamate dehydrogenase (GLDH), ferrochelatase (FECH), heme oxygenase-1 (HO-1) and glutathione-S-transferase-α (GST-α) as diagnostic biomarkers for liver injury caused by antituberculosis drugs. METHODS: We established a rat model of isoniazide-induced liver injury and recruited 122 hospitalized tuberculosis patients taking antituberculosis drugs. We detected the concentration of GLDH, FECH, HO-1 and GST-α by enzyme-linked immunosorbent assay. GraphPad Prism8 and SPSS 26.0 were used for statistical analysis. RESULTS: In the rat model, serum GLDH concentration gradually increased during isoniazid (INH) administration, while serum FECH, HO-1 and GST-α concentrations significantly increased after INH administration was stopped. The receiver operating characteristic curve showed that the areas under the curve (AUCs) of serum GLDH and FECH for the diagnosis of anti-tuberculosis (TB) drug-induced liver injury (anti-TB-DILI) were 0.7692 (95% confidence interval [CI] 0.5442-0.9943) and 0.7284 (95% CI 0.4863-0.9705) and the diagnostic accuracies were 81.25% and 78.79%, respectively. In clinical research, the AUCs of GLDH and FECH were 0.9124 (95% CI 0.8380-0.9867) and 0.6634 (95% CI 0.5391-0.7877), and the optimal thresholds were 10.40 mIU/mL and 1.304 ng/mL, respectively. The diagnostic accuracy, specificity and positive predictive value (PPV) of GLDH were 82.61%, 79.38% and 47.22%. We performed a joint diagnostic test for GLDH and FECH. The diagnostic accuracy (90.43%), specificity (91.75%) and PPV (65.21%) of serial tests were better than for GLDH and FECH alone. CONCLUSIONS: GLDH in the diagnosis of liver injury induced by anti-TB drugs has high sensitivity, but low specificity and low PPV. The combination of GLDH and FECH could significantly improve the specificity, PPV and diagnostic accuracy, and reduce the false-positive rate of anti-TB-DILI.

The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.

For over 10 years, ModelSEED has been a primary resource for the construction of draft genome-scale metabolic models based on annotated microbial or plant genomes. Now being released, the biochemistry database serves as the foundation of biochemical data underlying ModelSEED and KBase. The biochemistry database embodies several properties that, taken together, distinguish it from other published biochemistry resources by: (i) including compartmentalization, transport reactions, charged molecules and proton balancing on reactions; (ii) being extensible by the user community, with all data stored in GitHub; and (iii) design as a biochemical 'Rosetta Stone' to facilitate comparison and integration of annotations from many different tools and databases. The database was constructed by combining chemical data from many resources, applying standard transformations, identifying redundancies and computing thermodynamic properties. The ModelSEED biochemistry is continually tested using flux balance analysis to ensure the biochemical network is modeling-ready and capable of simulating diverse phenotypes. Ontologies can be designed to aid in comparing and reconciling metabolic reconstructions that differ in how they represent various metabolic pathways. ModelSEED now includes 33,978 compounds and 36,645 reactions, available as a set of extensible files on GitHub, and available to search at https://modelseed.org/biochem and KBase.

The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis.

BACKGROUND: Machine learning is a potentially effective method for identifying and predicting the time of the onset of stroke. However, the value of applying machine learning in this field remains controversial and debatable. OBJECTIVE: We aimed to assess the value of applying machine learning in predicting the time of stroke onset. METHODS: PubMed, Web of Science, Embase, and Cochrane were comprehensively searched. The C index and sensitivity with 95% CI were used as effect sizes. The risk of bias was evaluated using PROBAST (Prediction Model Risk of Bias Assessment Tool), and meta-analysis was conducted using R (version 4.2.0; R Core Team). RESULTS: Thirteen eligible studies were included in the meta-analysis involving 55 machine learning models with 41 models in the training set and 14 in the validation set. The overall C index was 0.800 (95% CI 0.773-0.826) in the training set and 0.781 (95% CI 0.709-0.852) in the validation set. The sensitivity and specificity were 0.76 (95% CI 0.73-0.80) and 0.79 (95% CI 0.74-0.82) in the training set and 0.81 (95% CI 0.68-0.90) and 0.83 (95% CI 0.73-0.89) in the validation set, respectively. Subgroup analysis revealed that the accuracy of machine learning in predicting the time of stroke onset within 4.5 hours was optimal (training: 0.80, 95% CI 0.77-0.83; validation: 0.79, 95% CI 0.71-0.86). CONCLUSIONS: Machine learning has ideal performance in identifying the time of stroke onset. More reasonable image segmentation and texture extraction methods in radiomics should be used to promote the value of applying machine learning in diverse ethnic backgrounds. TRIAL REGISTRATION: PROSPERO CRD42022358898; https://www.crd.york.ac.uk/Prospero/display_record.php?RecordID=358898.

Bamlanivimab plus etesevimab treatment have a better outcome against COVID-19: A meta-analysis.

Bamlanivimab is routinely used in the treatment of coronavirus disease 2019 (COVID-19) worldwide. We performed a meta-analysis to investigate the efficacy and safety of bamlanivimab treatment in patients with COVID-19. We searched articles from Web of Science, PubMed, Embase, the Cochrane Library, and medRxiv between January 30, 2020 and August 5, 2021. We selected randomized clinical trials (RCTs) and observational studies with a control group to assess the efficiency of bamlanivimab in treating patients with COVID-19. Our meta-analysis retrieved three RCTs and seven cohort studies including 14 461 patients. Bmlanivimab may help outpatients to prevent hospitalization or emergency department visits (RR 0.41, 95%CI 0.29-0.58), reduce ICU admission (RR 0.47, 95%CI 0.23-0.92), and mortality (RR 0.32, 95%CI 0.13-0.77) from the disease. The combination of bamlanivimab and etesevimab may have a greater potential for positive treatment outcomes. Bamlanivimab has demonstrated clinical efficacy on mild or moderate ill patients with COVID-19 to prevent hospitalization, reduce severity, and mortality from the disease. Combinations of bamlanivimab and etesevimab have a significant relative risk reduction for COVID-related hospitalization or death for patients than the monotherapy 700 mg group. Well-designed clinical trials to identify the clinical and biochemical characteristics in the COVID-19 patients' population that could benefit from bamlanivimab or plus etesevimab are warranted in the future.

Curcumin attenuates isoniazid-induced hepatotoxicity by upregulating the SIRT1/PGC-1α/NRF1 pathway.

As a serious infectious disease, tuberculosis threatens global public health. Isoniazid is the first-line drug not only in active tuberculosis but also in its prevention. Severe hepatotoxicity greatly limits its use. Curcumin, extracted from turmeric, has been found to relieve isoniazid-induced hepatotoxicity. However, the mechanism of isoniazid-induced hepatotoxicity and the protective effects of curcumin are not yet understood completely. We established both cell and animal models about isoniazid-induced hepatotoxicity and investigated the new mechanism of curcumin against isoniazid-induced liver injury. The experimental data in our study demonstrated that curcumin ameliorated isoniazid-mediated liver oxidative stress. The protective effects of curcumin were demonstrated and confirmed to be correlated with upregulating SIRT1/PGC-1α/NRF1 pathway. Western blot revealed that while inhibiting SIRT1 by the siRNA1 (a SIRT1 inhibitor), the expressions of SIRT1, PGC-1α/Ac-PGC-1α, and NRF1 decreased, and the protective effect that curcumin exerted on isoniazid-treated L-02 cells was significantly attenuated. Furthermore, curcumin improved liver functions and reduced necrosis of the isoniazid-treated BALB/c mice, accompanied by downregulating oxidative stress and inflammation in liver. Western blot revealed that curcumin treatment activates the SIRT1/PGC-1α/NRF1 pathway in the isoniazid-treated BALB/c mice. In conclusion, we found one mechanism of isoniazid-induced hepatotoxicity downregulating the SIRT1/PGC-1α/NRF1 pathway, and curcumin attenuated this hepatotoxicity by activating it. Our study provided a novel approach and mechanism for the treatment of isoniazid-induced hepatotoxicity.

Serum biomarkers of isoniazid-induced liver injury: Aminotransferases are insufficient, and OPN, L-FABP and HMGB1 can be promising novel biomarkers.

Isoniazid (INH)-induced liver injury is a great challenge for tuberculosis treatment. Existing biomarkers cannot accurately determine the occurrence of this injury in the early stage. Therefore, developing early specific sensitive biomarkers of INH-induced liver injury is urgent. A rat model of liver injury was established with gastric infusion of INH or INH plus rifampicin (RFP). We examined seven potential novel serum biomarkers, namely, glutamate dehydrogenase (GLDH), liver-fatty acid-binding protein (L-FABP), high-mobility group box-1 (HMGB1), macrophage colony-stimulating factor receptor (MCSF1R), osteopontin (OPN), total cytokeratin 18 (K18), and caspase-cleaved cytokeratin-18 (ccK18), to evaluate their sensitivity and specificity on INH-induced liver injury. With the increase of drug dosage, combining with RFP and prolonging duration of administration, the liver injury was aggravated, showing as decreased weight of the rats, upgraded liver index and oxidative stress level, and histopathological changes of liver becoming marked. But the activity of serum aminotransferases decreased significantly. The area under the curve (AUC) of receiver-operating characteristic (ROC) curve of OPN, L-FABP, HMGB1, MCSF1R, and GLDH was 0.88, 0.87, 0.85, 0.71, and 0.70 (≥0.7), respectively, and 95% confidence interval of them did not include 0.5, with statistical significance, indicating their potential abilities to become biomarkers of INH-induced liver injury. In conclusion, we found traditional biomarkers ALT and AST were insufficient to discover the INH-induced liver injury accurately and OPN, L-FABP, and HMGB1 can be promising novel biomarkers.

Effect of Statins on the Risk of Different Stages of Prostate Cancer: A Meta-Analysis.

INTRODUCTION: The aim of this article was to investigate the relationship between statins and the risk of different stages or grades of prostate cancer. METHODS: A comprehensive literature search was performed for articles published until December 18, 2020, on the PubMed, Embase, and the Cochrane Library databases. The pooled relative risk (RR) and 95% confidence interval (CI) were then analyzed using the STATA.16.0 software. RESULTS: A total of 588,055 patients from 14 studies were included in the analysis. We found that the use of statins expressed a significant correlation with a lower risk of advanced prostate cancer (RR = 0.81, 95% CI: 0.73-0.91; RR = 0.86, 95% CI: 0.75-0.99, respectively). However, no evidence suggested that the use of statins was beneficial for the prevention of localized prostate cancer incidence. Similarly, the pooled results also revealed no association between the use of statins and the risk of high-grade and low-grade prostate cancer. CONCLUSION: It has been found that the use of statins is associated with a lower risk of advanced prostate cancer but was not related to the risk of localized, low-grade, or high-grade prostate cancer.

Potential biomarkers of miRNA in non-functional pituitary adenomas.

BACKGROUND: The abnormal expression of microRNA (miRNA) has been proved to be closely related to the occurrence and progression of tumors. A unique expression of multiple miRNAs has been found in different types of tumors. However, the correlation between miRNA and non-functional pituitary adenoma (NFPA) is not clear. In this study, miRNAs (miRNA-26b, miRNA-138, miRNA-206, and miRNA-let-7e) have been used as detection genes to compare the miRNA expression levels of NFPA subjects and healthy controls and to explore the expression of four different miRNAs in NFPA. METHODS: Ten untreated NFPA volunteers were served as subjects, and 10 normal subjects were selected as controls. Peripheral blood samples were collected, and four differentiated expressed miRNAs (miRNA-26b, miRNA-138, miRNA-206, and miRNA-let-7e) obtained in the early stage of the test group were detected, recorded, and archived by quantitative real-time PCR (qPCR). The difference and significance of endogenous miRNA expressions were explored through statistical analysis, hoping to find biomarkers for clinical treatment. RESULTS: The levels of miRNA-26b, miRNA-138, miRNA-206, and miRNA-let-7e in the peripheral serum of patients with NFPA were significantly lower than those in normal subjects (P < 0.05). CONCLUSION: miRNA-26b, miRNA-138, miRNA-206, and miRNA-let-7e may be involved in the occurrence and progress of NFPAs. This study aims to study the biological targets of NFPA. It starts from the study of whether miRNA, miRNA-26b, miRNA-138, miRNA-206, and miRNA-let-7e may be tumor suppressor genes in NFPA, which provides a basis for further exploration of tumor markers of pituitary adenoma.

Synthesis, characterization and preliminary biological evaluation of chrysin amino acid derivatives that induce apoptosis and EGFR downregulation.

Chrysin amino acid derivatives were synthesized to evaluate for their antiproliferative activities. Among them, N-(7-((5-hydroxy-4-oxo-2-phenyl-4H-chromen-7-yl)oxy)valeryl)-L-leucine (8c) displayed the most remarkable inhibitory activities against MCF-7 cells with IC50 values of 16.6 µM. Preliminary mechanistic studies showed that 8c could inhibit the colony formation and migration of MCF-7 cells. Flow cytometry analysis demonstrated that 8c mediated cell apoptosis and the prolongation of cell cycle progression in G1/S-phase against MCF-7 cells. Besides, 8c displayed the moderate inhibition against EGFR. Western blot assay suggested that 8c significantly inhibited EGFR phosphorylation. Molecular docking showed that 8c can bind the EGFR kinase well.

[Constructing Brain Aß-Targeting Nanoparticles Loaded with EGCG for Treating Alzheimer's Disease in Mice].

OBJECTIVE: To construct a nanodelivery system surface-modified with RD2 peptide (polypeptide sequence PTLHTHNRRRRR) for brain tissue penetration and ß-amyloid (Aß) binding. Epigallocatechin-3-gallate (EGCG) was selected for encapsulation in the targeted delivery system and its therapeutic potential for Alzheimer's disease (AD) was investigated. METHODS: EGCG-load nanoparticles (NP/EGCG), NP/EGCG with RD2 peptide surface modification (RD2-NP/EGCG), as well as RD2 peptide-modified blank nanoparticles (RD2-NP) were prepared and characterized. Thioflavin T assay was done to assess the ability of RD2-NP to bind with Aß and ex vivo imaging was conducted to evaluate the distribution of RD2-NP in brain lesion sites. The AD mice model was established by injecting oligomeric Aß 42 in the bilateral hippocampi of ICR mice. Then AD mice were administered intravenously through the tail vein with normal saline, EGCG solution, NP/EGCG or RD2-NP/EGCG for 28 d, respectively, and the Morris water maze tests were performed to assess the spatial memory of mice. Subsequently, RT-PCR method was used to determine the mRNA levels of tumor necrosis factor-α (TNF-α) and interleukin-1ß (IL-1ß) in the hippocampus of the mice, and the morphological changes of hippocampal neurons were observed with Nissl staining. Additionally, the pathological changes of heart, liver, spleen, lung, and kidney were characterized by hematoxylin-eosin (HE) staining. RESULTS: The particle diameter of the prepared RD2-NP/EGCG was (204.83±2.80) nm and the zeta potential was -23.88 mV. The encapsulation efficiency and drug loading capacity were 94.39% and 5.90%, respectively. The RD2 peptide modification has no significant effect on the physiochemical properties of the nanoparticles. RD2-NP had good Aß binding ability, and it could be concentrated in hippocampus and cerebral cortex, the most common Aß deposition sites. The four-week RD2-NP/EGCG treatment significantly decreased the expression of the pro-inflammatory cytokine TNF-α and IL-1ß, restored neuronal losses and hippocampal damage, and ameliorated spatial memory impairment in AD model mice. Moreover, treatment with the RD2-NP/EGCG did not present organ toxicity. CONCLUSION: Surface modified RD2 peptide nanodelivery system can efficiently deliver drugs to AD lesions and improve the therapeutic effect of EGCG on AD.

Design, synthesis, and preliminary biological evaluation of chrysin amino acid derivatives that induce apoptosis and suppress cell migration.

Amino acid derivatives containing chrysin were synthesized for evaluating their anticancer effects. Among them, compound N-(7-((5-hydroxy-4-oxo-2-phenyl-4H-chromen-7-yl)oxy)heptanoyl)-L-isoleucine (6e) displayed the most potent antiproliferative activity against MGC-803 cells with IC50 value of 20.0 µM. Preliminary mechanistic studies showed that compound 6e could inhibit the colony formation and migration of MGC-803 cells. Flow cytometry analysis demonstrated that compound 6e mediated cell apoptosis of MGC-803 cells and arrested cell cycle in G2/M-phase. Moreover, 6e treatment in MGC-803 cells downregulated anti-apoptotic protein Bcl-2 and upregulated pro-apoptotic gene Bax in a concentration-dependent manner. Our studies suggest that compound 6e may sever as an effective chemotherapeutic candidate. [Formula: see text].

The association between anti-tumor potency and structure-activity of protein-kinases inhibitors based on quinazoline molecular skeleton.

Quinazoline was originally utilized as an anti-tumor treatment, and its various derivatives can be directly extracted from plants. In recent years, protein kinases (PK) have been well recognized in the development of tumor drugs. Functionally, PK serves a vital role in the apoptosis, proliferation, differentiation, migration and cell cycle of tumor cells. Due to its good physicochemical properties, quinazoline skeleton, a superior type of PK inhibitor, has been extensively used in anti-tumor drug design. An increasing number of studies on quinazoline synthesis have been reported and used by different groups to effectively develop novel derivatives. Thus, several studies have been approved for the use of quinazoline derivatives as inhibitors of other kinases, including Src and histone deacetylase. The aim of the present review was to summarize the mechanism of quinazoline compounds as PK inhibitors, their biological structure-activity relationship such as the substituted quinazoline compounds with different functional groups in the apoptotic process, and their effect on the proliferation of tumor cells. The development of novel agents based on the antitumor functions of quinazoline molecular compounds may improve the clinical outcomes of the affected population, particularly in patients with cancer.

Pharmacokinetics of trazodone sustained-release tablets in healthy subjects: Three open-label, randomized crossover studies
.

OBJECTIVE: To characterize the pharmacokinetics of trazodone hydrochloride (HCl) sustained-release tablets (TSR) and trazodone immediate-release formulation (TIR) and investigate the effects of food on the pharmacokinetics of the drug in healthy subjects. MATERIALS AND METHODS: Three open-label, randomized crossover trials of single-dose, multiple-dose, and food-drug interaction testing were conducted. A validated high-performance liquid chromatography-fluorescence method was used to measure the plasma concentration of trazodone, and a non-compartment model was used to obtain the pharmacokinetic parameters. AUC and Cmax dose proportionality were analyzed using a power model. RESULTS: TSR lacked dose proportionality over a dose range of 25 - 150 mg. In the food-drug interaction study, no significant changes in the pharmacokinetic parameters of the drug under the fed conditions were observed. Multiple dosage of TSR and TIR reached steady state after 7 days, with no accumulation phenomenon observed. The peak time and peak concentrations of TSR were significantly longer and lower, respectively, than those of TIR. CONCLUSION: TSR showed clear sustained-release characteristics, and food exhibited no significant effects on the pharmacokinetic parameters of trazodone. TSR and TIR reached steady state levels after 7 consecutive days of administration, with no accumulation phenomenon observed.

Conjugating influenza a (H1N1) antigen to n-trimethylaminoethylmethacrylate chitosan nanoparticles improves the immunogenicity of the antigen after nasal administration.

As one of the most serious infectious respiratory diseases, influenza A (H1N1) is a great threat to human health, and it has created an urgent demand for effective vaccines. Nasal immunization can induce both systemic and mucosal immune responses against viruses, and it can serve as an ideal route for vaccination. However, the low immunogenicity of antigens on nasal mucosa is a high barrier for the development of nasal vaccines. In this study, we covalently conjugated an influenza A (H1N1) antigen to the surface of N-trimethylaminoethylmethacrylate chitosan (TMC) nanoparticles (H1N1-TMC/NP) through thioester bonds to increase the immunogenicity of the antigen after nasal administration. SDS-PAGE revealed that most of the antigen was conjugated on TMC nanoparticles, and an in vitro biological activity assay confirmed the stability of the antigen after conjugation. After three nasal immunizations, the H1N1-TMC/NP induced significantly higher levels of serum IgG and mucosal sIgA compared with free antigen. A hemagglutination inhibition assay showed that H1N1-TMC/NP induced much more protective antibodies than antigen-encapsulated nanoparticles or alum-precipitated antigen (I.M.). In the mechanistic study, H1N1-TMC/NP was shown to stimulate macrophages to produce IL-1ß and IL-6 and to stimulate spleen lymphocytes to produce IL-2 and IFN-γ. These results indicated that H1N1-TMC/NP may be an effective vaccine against influenza A (H1N1) viruses for use in nasal immunization.

Intranasal H102 Peptide-Loaded Liposomes for Brain Delivery to Treat Alzheimer's Disease.

PURPOSE: H102, a novel ß-sheet breaker peptide, was encapsulated into liposomes to reduce its degradation and increase its brain penetration through intranasal administration for the treatment of Alzheimer's disease (AD). METHODS: The H102 liposomes were prepared using a modified thin film hydration method, and their transport characteristics were tested on Calu-3 cell monolayers. The pharmacokinetics in rats' blood and brains were also investigated. Behavioral experiments were performed to evaluate the improvements on AD rats' spatial memory impairment. The neuroprotective effects were tested by detecting acetylcholinesterase (AchE), choline acetyltransferase (ChAT) and insulin degrading enzyme (IDE) activity and conducting histological assays. The safety was evaluated on rats' nasal mucosa and cilia. RESULTS: The liposomes prepared could penetrate Calu-3 cell monolayers consistently. After intranasal administration, H102 could be effectively delivered to the brain, and the AUC of H102 liposomes in the hippocampus was 2.92-fold larger than that of solution group. H102 liposomes could excellently ameliorate spatial memory impairment of AD model rats, increase the activities of ChAT and IDE and inhibit plaque deposition, even in a lower dosage compared with H102 intranasal solution. H102 nasal formulations showed no toxicity on nasal mucosa. CONCLUSIONS: The H102-loaded liposome prepared in this study for nasal administration is stable, effective and safe, which has great potential for AD treatment.

Antigen-conjugated N-trimethylaminoethylmethacrylate chitosan nanoparticles induce strong immune responses after nasal administration.

PURPOSE: Antigens were conjugated on the surface of N-trimethylaminoethylmethacrylate chitosan (TMC) nanoparticles to induce systemic and mucosal immune responses after nasal immunization. METHODS: TMC was synthesized by free radical polymerization and blank nanoparticles were prepared by ionic crosslinking of TMC and sodium tripolyphosphate. The model antigen (ovalbumin) was conjugated on the surface of blank nanoparticles (OVA-NP) through thioester bond formation. The cellular uptake of OVA-NP was investigated in Raw 264.7 macrophages and biodistribution of antigens was studied by the radioiodine labeling method. The immunological effects were evaluated by nasal administration of OVA-NP to Balb/C mice. The transport mechanism and nasal toxicity of OVA-NP were studied in rats. RESULTS: The cellular uptake of OVA-NP was significantly higher than that of ovalbumin-encapsulated nanoparticles (NPe) after 30 min. Nasally administered OVA-NP showed higher transport of antigens to cervical lymph nodes with higher targeting efficiency than all other groups. Compared with NPe, OVA-NP induced much higher levels of systemic and mucosal immune responses in Balb/C mice after three nasal immunizations. Ex vivo culturing of nasopharynx-associated lymphoid tissue (NALT) confirmed its participation in nasal immunization. The transport mechanism study revealed that OVA-NP can be transported across the nasal epithelium through glands and may be taken up in NALT through M cells. OVA-NP did not induce obvious toxicity to nasal mucosa or hemolysis in animals. CONCLUSION: The present study demonstrated that the conjugation of TMC nanoparticles with antigens is an effective strategy for nasal vaccination.

[Progress in the biomarker discovery for drug-induced liver injury].

The leading cause of drug withdrawal from market and clinical trials failure is drug-induced liver injury (DILI). Varying clinical, histological and laboratory features of DILI, as well as undefined underlying mechanisms, hinder patients to be diagnosed in the early-stage of the disease and receive effective treatments. Conventional indicators, like serum transaminases and bilirubin, have inevitable limitations referring to sensitive prediction and specific detection of DILI. In order to reduce the occurrence of DILI, researchers have attempted to discover potential biomarkers with higher specificity and sensitivity from blood and urine in recent years. This article aims to review recent advances in biomarkers of DILI.