Hinokione: an abietene diterpene with pancreatic ß cells regeneration and hypoglycemic activity, and other derivatives with novel structures from the woods of Agathis dammara.

In this study, 14 abietene and pimarene diterpenoids were isolated from the woods of Agathis dammara. Among them, 4 new compounds, dammarone A-C and dammaric acid A (1-4), were firstly reported, respectively. The structure of the new compounds was determined by HR ESI-MS and 1D/2D NMR spectroscopy, and their absolute configuration was determined by electronic circular dichroism (ECD) exciton chirality method. The hypoglycemic effect of all compounds was evaluated by transgenic zebrafish model, and the structure-activity relationship was discussed. Hinokione (7, HO) has low toxicity and significant hypoglycemic effects on zebrafish, the mechanism is mainly by promoting the differentiation of zebrafish pancreatic endocrine precursor cells (PEP cells) into ß cells, thereby promoting the regeneration of pancreatic ß cells.

Compounds from Agathis dammara exert hypoglycaemic activity by enhancing glucose uptake: lignans, terpenes and others.

In this study, two new kaurane diterpenes (16, 17), together with 12 lignans (1-12), a triterpene (15), and two other compounds (13, 14) were isolated from the woods of Agathis dammara. The structure of the new compound was determined by HR ESIMS and 1D/2D NMR spectroscopy, and its absolute configuration was determined by electronic circular dichroism (ECD) exciton chirality method. Compounds 5, 11, 14 exhibit significant hypoglycaemic activity in zebrafish, and their mechanism of action is to enhance glucose uptake in zebrafish.

Zygotic Splicing Activation of the Transcriptome is a Crucial Aspect of Maternal-to-Zygotic Transition and Required for the Conversion from Totipotency to Pluripotency.

During maternal-to-zygotic transition (MZT) in the embryo, mRNA undergoes complex post-transcriptional regulatory processes. However, it is unclear whether and how alternative splicing plays a functional role in MZT. By analyzing transcriptome changes in mouse and human early embryos, dynamic changes in alternative splicing during MZT are observed and a previously unnoticed process of zygotic splicing activation (ZSA) following embryonic transcriptional activation is described. As the underlying mechanism of RNA splicing, splicing factors undergo dramatic maternal-to-zygotic conversion. This conversion relies on the key maternal factors BTG4 and PABPN1L and is zygotic-transcription-dependent. CDK11-dependent phosphorylation of the key splicing factor, SF3B1, and its aggregation with SRSF2 in the subnuclear domains of 2-cell embryos are prerequisites for ZSA. Isoforms generated by erroneous splicing, such as full-length Dppa4, hinder normal embryonic development. Moreover, alternative splicing regulates the conversion of early embryonic blastomeres from totipotency to pluripotency, thereby affecting embryonic lineage differentiation. ZSA is an essential post-transcriptional process of MZT and has physiological significance in generating new life. In addition to transcriptional activation, appropriate expression of transcript isoforms is also necessary for preimplantation embryonic development.

Prevalence and relevant factors of depression among adolescents in Xinjiang, China: A cross-sectional survey.

The aim of this study is to elucidate the prevalence of depression and examine the contributing factors to depression among adolescents in Xinjiang, China. A stratified cluster sampling methodology was employed in this study, with the sample size determined through consideration of prior studies on adolescent depression. Employing this approach, 6 schools were chosen from each prefecture-level city, designated as urban areas, and 3 schools were selected from each county. Subsequently, individual classes were treated as units, and a minimum of 80 students from each grade were surveyed within the entire class. The investigation of adolescents involved the administration of a questionnaire assessing the factors influencing depression, along with the Center for Epidemiologic Studies Depression Scale (CES-D). Multivariate linear regression was used to analyze the influencing factors of depression. The occurrence rates of depression were 12.17%, 13.05%, 12.32%, and 9.29% in junior middle school, senior middle school, vocational high school, and college, respectively. The corresponding CES-D scores were 10.54 ±â€…8.26, 11.20 ±â€…8.37, 12.17 ±â€…6.94, and 11.33 ±â€…6.28. Significant associations with the CES-D score were observed for gender, smoking, alcohol consumption, and spending more than 4 hours online daily across the educational levels mentioned. The risk of experiencing depressive symptoms was elevated among female junior and senior high school students who spent more than 4 hours daily on the internet, engaged in cigarette smoking, and consumed alcohol. The findings underscore the significance of targeting high-risk groups, particularly through home-school collaborations, to mitigate excessive internet use and consequently reduce the likelihood of depressive symptoms in students.

Molecular Modulators and Receptors of Selective Autophagy: Disease Implication and Identification Strategies.

Autophagy is a highly conserved physiological process that maintains cellular homeostasis by recycling cellular contents. Selective autophagy is based on the specificity of cargo recognition and has been implicated in various human diseases, including neurodegenerative diseases and cancer. Selective autophagy receptors and modulators play key roles in this process. Identifying these receptors and modulators and their roles is critical for understanding the machinery and physiological function of selective autophagy and providing therapeutic value for diseases. Using modern researching tools and novel screening technologies, an increasing number of selective autophagy receptors and modulators have been identified. A variety of Strategies and approaches, including protein-protein interactions (PPIs)-based identification and genome-wide screening, have been used to identify selective autophagy receptors and modulators. Understanding the strengths and challenges of these approaches not only promotes the discovery of even more such receptors and modulators but also provides a useful reference for the identification of regulatory proteins or genes involved in other cellular mechanisms. In this review, we summarize the functions, disease association, and identification strategies of selective autophagy receptors and modulators.

Research progress of natural product evodiamine-based antitumor drug design strategies / 药学学报

Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.

Oleanolic acid derivative alleviates cardiac fibrosis through inhibiting PTP1B activity and regulating AMPK/TGF-ß/Smads pathway.

Cardiac fibrosis (CF) in response to persistent exogenous stimuli or myocardial injury results in cardiovascular diseases (CVDs). Protein tyrosine phosphatase 1B (PTP1B) can promote collagen deposition through regulating AMPK/TGF-ß/Smads signaling pathway, and PTP1B knockout improves cardiac dysfunction against overload-induced heart failure. Oleanolic acid (OA) has been proven to be an inhibitor of PTP1B, and its anti-cardiac remodeling effects have been validated in different mouse models. To improve the bioactivity of OA and to clarify whether OA derivatives with stronger inhibition of PTP1B activity have greater prevention of cardiac remodeling than OA, four new OA derivatives were synthesized and among them, we found that compound B had better effects than OA in inhibiting cardiac fibrosis both in vivo in the isoproterenol (ISO)-induced mouse cardiac fibrosis and in vitro in the TGF-ß/ISO-induced 3T3 cells. Combining with the results of molecular docking, surface plasmon resonance and PTP1B activity assay, we reported that OA and compound B directly bound to PTP1B and inhibited its activity, and that compound B showed comparable binding capability but stronger inhibitory effect on PTP1B activity than OA. Moreover, compound B presented much greater effects on AMPK activation and TGF-ß/Smads inhibition than OA. Taken together, OA derivative compound B more significantly alleviated cardiac fibrosis than OA through much greater inhibition of PTP1B activity and thus much stronger regulation of AMPK/TGF-ß/Smads signaling pathway.

CENPE and LDHA were potential prognostic biomarkers of chromophobe renal cell carcinoma.

BACKGROUND: Most sarcomatoid differentiated renal cell carcinoma was differentiated from Chromophobe renal cell carcinoma (KICH) and related to a bad prognosis. Thus, finding biomarkers is important for the therapy of KICH. METHODS: The UCSC was used for determining the expression of mRNA and miRNA and clinical data in KICH and normal samples. KEGG and GO were used for predicting potential function of differently expressed genes (DEGs). Optimal prognostic markers were determined by Lasso regression. Kaplan-Meier survival, ROC, and cox regression were used for assessing prognosis value. GSEA was used for predicting potential function of markers. The relations between markers and immune cell infiltration were determined by Pearson method. The upstream miRNA of markers was predicted in TargetScan and DIANA. RESULTS: The 6162 upregulated and 13,903 downregulated DEGs were identified in KICH. Further CENPE and LDHA were screened out as optimal prognostic risk signatures. CENPE was highly expressed while LDHA was lowly expressed in KICH samples, and the high expressions of 2 genes contributed to bad prognosis. The functions of CENPE and LDHA were mainly enriched in proliferation related pathways such as cell cycle and DNA replication. In addition, the correlation of 2 genes with immune infiltrates in KICH was also observed. Finally, we found that has-miR-577 was the common upstream of 2 genes and the binding sites can be predicted. CONCLUSION: CENPE and LDHA were identified as the important prognostic biomarkers in KICH, and they might be involved in the proliferation of cancer cell.

Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches.

Non-small cell lung cancer (NSCLC) is often driven by mutations in the epidermal growth factor receptor (EGFR) gene. However, rare mutations such as G719X and S768I lack standard anti-EGFR targeted therapies. Understanding the structural differences between wild-type EGFR and these rare mutants is crucial for developing EGFR-targeted drugs. We performed a systematic analysis using molecular dynamics simulations, essential dynamics (ED), molecular mechanics Poisson-Boltzmann surface area, and free energy calculation methods to compare the kinetic properties, molecular motion, and free energy distribution between wild-type EGFR and the rare mutants' structures G719X-EGFR, S768I-EGFR, and G719X + S768I-EGFR. Our results showed that S768I-EGFR and G719X + S768I-EGFR have higher global and local conformational flexibility and lower thermal and global structural stability than WT-EGFR. ED analysis revealed different molecular motion patterns between S768I-EGFR, G719X + S768I-EGFR, and WT-EGFR. The A-loop and αC-helix, crucial structural elements related to the active state, showed a tendency toward active state development, providing a molecular mechanism explanation for NSCLC caused by EGFR S768I and EGFR G719C + S768I mutations. The present study may be helpful in the development of new EGFR-targeted drugs based on the structure of rare mutations. Our findings may aid in developing new targeted treatments for patients with EGFR S768I and EGFR G719X + S768I mutations.

Obesity is positively Associated with Depression in Older Adults: Role of Systemic Inflammation.

Objective: We aimed to explore the association between obesity and depression and the role of systemic inflammation in older adults. Methods: Adults ≥ 65 years old ( n = 1,973) were interviewed at baseline in 2018 and 1,459 were followed up in 2021. General and abdominal obesity were assessed, and serum C-reactive protein (CRP) levels were measured at baseline. Depression status was assessed at baseline and at follow-up. Logistic regression was used to analyze the relationship between obesity and the incidence of depression and worsening of depressive symptoms, as well as the relationship between obesity and CRP levels. The associations of CRP levels with the geriatric depression scale, as well as with its three dimensions, were investigated using multiple linear regressions. Results: General obesity was associated with worsening depression symptoms and incident depression, with an odds ratio ( OR) [95% confidence interval ( CI)] of 1.53 (1.13-2.12) and 1.80 (1.23-2.63), especially among old male subjects, with OR (95% CI) of 2.12 (1.25-3.58) and 2.24 (1.22-4.11), respectively; however, no significant relationship was observed between abdominal obesity and depression. In addition, general obesity was associated with high levels of CRP, with OR (95% CI) of 2.58 (1.75-3.81), especially in subjects free of depression at baseline, with OR (95% CI) of 3.15 (1.97-5.04), and CRP levels were positively correlated with a score of specific dimension (life satisfaction) of depression, P < 0.05. Conclusion: General obesity, rather than abdominal obesity, was associated with worsening depressive symptoms and incident depression, which can be partly explained by the systemic inflammatory response, and the impact of obesity on depression should be taken more seriously in the older male population.

Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia: randomized trials and multiomics analysis.

BACKGROUND: Choosing the appropriate antipsychotic drug (APD) treatment for patients with schizophrenia (SCZ) can be challenging, as the treatment response to APD is highly variable and difficult to predict due to the lack of effective biomarkers. Previous studies have indicated the association between treatment response and genetic and epigenetic factors, but no effective biomarkers have been identified. Hence, further research is imperative to enhance precision medicine in SCZ treatment. METHODS: Participants with SCZ were recruited from two randomized trials. The discovery cohort was recruited from the CAPOC trial (n = 2307) involved 6 weeks of treatment and equally randomized the participants to the Olanzapine, Risperidone, Quetiapine, Aripiprazole, Ziprasidone, and Haloperidol/Perphenazine (subsequently equally assigned to one or the other) groups. The external validation cohort was recruited from the CAPEC trial (n = 1379), which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine, Risperidone, and Aripiprazole groups. Additionally, healthy controls (n = 275) from the local community were utilized as a genetic/epigenetic reference. The genetic and epigenetic (DNA methylation) risks of SCZ were assessed using the polygenic risk score (PRS) and polymethylation score, respectively. The study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis, methylation quantitative trait loci, colocalization, and promoter-anchored chromatin interaction. Machine learning was used to develop a prediction model for treatment response, which was evaluated for accuracy and clinical benefit using the area under curve (AUC) for classification, R2 for regression, and decision curve analysis. RESULTS: Six risk genes for SCZ (LINC01795, DDHD2, SBNO1, KCNG2, SEMA7A, and RUFY1) involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment response. The developed and externally validated prediction model, which incorporated clinical information, PRS, genetic risk score (GRS), and proxy methylation level (proxyDNAm), demonstrated positive benefits for a wide range of patients receiving different APDs, regardless of sex [discovery cohort: AUC = 0.874 (95% CI 0.867-0.881), R2 = 0.478; external validation cohort: AUC = 0.851 (95% CI 0.841-0.861), R2 = 0.507]. CONCLUSIONS: This study presents a promising precision medicine approach to evaluate treatment response, which has the potential to aid clinicians in making informed decisions about APD treatment for patients with SCZ. Trial registration Chinese Clinical Trial Registry ( https://www.chictr.org.cn/ ), 18. Aug 2009 retrospectively registered: CAPOC-ChiCTR-RNC-09000521 ( https://www.chictr.org.cn/showproj.aspx?proj=9014 ), CAPEC-ChiCTR-RNC-09000522 ( https://www.chictr.org.cn/showproj.aspx?proj=9013 ).

Effect of exercise prescription teaching on exercise quality and mental health status of college students.

BACKGROUND: The teaching mode of fitness exercise prescriptions for college students in physical education conforms to the scientific principles and rules of fitness, which can adapt to the characteristics of students' individual physiological functions and stimulate their interest in learning. AIM: To analyze the effect of prescribed exercise teaching on the sports quality and mental health of college students. METHODS: The participants of the study were 240 students in our class of 2021, of which 142 were men and 98 were women. The 240 students were randomly divided into an experimental group using the exercise prescription teaching model and a control group using the conventional teaching model. The experimental and control groups were divided into four classes of 30 students each. The teaching activities of the two teaching mode groups were strictly controlled, and the same tests were used before and after the experiment to test the subjects' exercise quality (in-cluding standing long jump, 50 m race, 800 m race, sit-ups, sit-and-reach), physical form (including height, weight, Ketorolai index), cardiopulmonary function (including heart rate, blood pressure, spirometry, 12-min running distance, maximum oxygen intake) and mental health (SCL-90, including somatization, obsessive-compulsive, interpersonal, depression, anxiety, hostility, phobia, paranoia, psychotic symptoms) to understand the effects of the exercise prescription teaching mode on students' physical and mental health status. RESULTS: There were differences in the exercise scores of standing long jump, 50 m, 800 m/1000 m running, sit-ups, and sit-and-reach in the experimental group after the experiment compared with those before the experiment, and the above indices of the experimental group were different from those of the control group after the experiment (P < 0.05). There were differences in body weight and Ketorolai index in the experimental group after the experiment compared to those before the experiment, and the indices of the experimental group were also different from those of the control group after the experiment (P < 0.05). After the experiment, there were differences in spirometry, 12-min running distance, and maximum oxygen intake in the experimental group compared to those before the experiment, and the indices of the experimental group were also different from those of the control group after the experiment (P < 0.05). After the experiment, the indicators of somatization, interpersonal sensitivity, depression, anxiety, and hostility in the experimental group were different from those in the pre-experimental group, and the indexes of the experimental group were also different from those of the control group after the experiment (P < 0.05). CONCLUSION: Exercise prescription teaching can mobilize college students' consciousness, enthusiasm, and initiative; expand personalities; enhance physical fitness and improve their mental health more than the conventional fitness exercise prescription teaching method.

Next-generation materials for RNA-lipid nanoparticles: lyophilization and targeted transfection.

RNA, including mRNA, siRNA and miRNA, is part of a new class of patient treatments that prevent and treat several diseases. As an alternative to DNA therapy using plasmid DNA, RNA functions in the cellular cytosol, avoiding the potential risks of insertion into patient genomes. RNA drugs, including mRNA vaccines, need carrier materials for delivery into the patient's body. Several delivery carriers of mRNA, such as cationic polymers, lipoplexes, lipid-polymer nanoparticles and lipid nanoparticles (LNPs), have been investigated. For clinical applications, one of the most commonly selected types of RNA delivery carrier is LNPs, which are typically formed with (a) ionizable lipids, which bind to RNA; (b) cholesterol for stabilization; (c) phospholipids to form the LNPs; and (d) polyethylene glycol-conjugated lipids to prevent aggregation and provide stealth characteristics. Most RNA-LNP research has been devoted to achieving highly efficient RNA expression in vitro and in vivo. It is also necessary to study the extended storage of RNA-LNPs under mild conditions. One of the most efficient methods to store RNA-LNPs for a long time is to prepare freeze-dried (lyophilized) RNA-LNPs. Future research should include investigating LNP materials for the development of freeze-dried RNA-LNPs using optimal lipid components and compositions with optimal cryoprotectants. Furthermore, the development of sophisticated RNA-LNP materials for targeted transfection into specific tissues, organs or cells will be a future direction in the development RNA therapeutics. We will discuss the prospects for the development of next-generation RNA-LNP materials.

Method comparison of sample pretreatment and discovery of differential compositions of natural flavors and fragrances for quality analysis by using chemometric tools.

Natural flavors and fragrances or their extracts have been widely used in a large variety of areas, including food, cosmetic, and tobacco industrial processes, among others. The compositions and intrinsic attributes of flavors and fragrances were related to many factors, such as species, geographical origin, planting environment, storage condition, processing method, and so on. This not only increased the difficulty in analyzing the product quality of flavors and fragrances, but also challenged the idea of "quality-by-design (QbD)". This work proposed an integrated strategy for precise discovery of differential compounds among different classes and subsequent quality analysis of complex samples through flavors and fragrances used in tobacco industry as examples. Three pretreatment methods were first inspected to effectively characterize the sample compositions, including direct injection (DI), thermal desorption (TD), and stir bar sorptive extraction (SBSE)-TD, coupled with gas chromatography-mass spectrometry (GC-MS) analysis to obtain characteristic information of samples of flavors and fragrances. Then, principal component analysis (PCA) was applied to discover the relation and difference between chromatographic fingerprints and peak table data once significant components were recognized in a holistic manner. Model population analysis (MPA) was then used to quantitatively extract the characteristic chemicals representing the quality differences among different classes of samples. Some differential marker compounds were discovered for difference analysis, including benzyl alcohol, latin acid, l-menthol acid, decanoic acid ethyl ester, vanillin, trans-o-coumaric acid, benzyl benzoate, and so on. Furthermore, partial least squares-discriminant analysis (PLS-DA) and support vector machine (SVM) were respectively applied to construct multivariate models for evaluation of quality differences and variations. It was found that the accuracy attains to 100% for sample classification. With the help of optimal sample pretreatment technique and chemometric methods, the strategy for quality analysis and difference discovery proposed in this work can be widely delivered to more areas of complex plants with good interpretability and high accuracy.

The role of electroacupuncture in regulating cell adhesion molecule L1 expression and in neuroprotection in Alzheimer′s disease / 中华物理医学与康复杂志

Objective:To observe any effect of electroacupuncture on the expression of L1 cell adhesion molecule (L1CAM) in mice modeling Alzheimer′s disease (AD) and also any effect on learning and memory.Methods:Thirty male APP/PS1 mice were randomly divided into a model group, an electroacupuncture (EA) group, and a no acupuncture (NA) group, each of 10. All the animals were modeled as AD. Ten C57BL/6 mice served as a control group. The mice in the EA and NA groups were given continuous 50Hz EA at a current intensity of 1mA at and near the Baihui (GV20) and Shenshu (BL23) acupoints, respectively, once a day for 14 days, while the other two groups were not given any EA. The mice in the model and control groups continued to be routinely fed without any special treatment such as electroacupuncture. After the intervention, any behavioral changes were evaluated by using a Morris Water Maze, and the expression of L1CAM, PTEN and p53 protein in the hippocampus of each group was detected using western blotting.Results:Compared with the control group, the escape latency in positioning navigation experiments was significantly longer in the model group on the first 5 days of Morris Water Maze testing. Compared with the model group, the escape latency was significantly shorter in the EA group on days 2 to 5 of the Morris Water Maze testing, and the expression of L1CAM had increased significantly in the electroacupuncture group compared with the model group while PTEN and p53 expression had decreased significantly. The average escape latency of the NA group was significantly longer than that of the model group on days 2 to 5 of the Morris Water Maze testing. The average L1CAM expression in the NA group had decreased significantly, and the expression of PTEN and p53 protein had increased significantly more than in the EA group. The escape latency was negatively correlated with L1CAM expression but positively correlated with p53 protein and PTEN expression.Conclusion:L1CAM is involved in learning and memory processes, at least in mice. Electroacupuncture can improve the learning and memory of mice modeling Alzheimer′s, which may be due to its promoting the expression of L1CAM and inhibiting the expression of PTEN and p53.

A Novel HDAC1-Selective Inhibitor Attenuates Autoimmune Arthritis by Inhibiting Inflammatory Cytokine Production.

Rheumatoid arthritis (RA) is systemic autoimmune arthritis that causes joint inflammation and destruction. Accumulating evidence has shown that inhibitors of class I histone deacetylases (HDACs) (i.e., HDAC1, 2, 3, and 8) are potential therapeutic candidates as targeted synthetic disease-modifying antirheumatic drugs (tsDMARDs). Nevertheless, the inhibition of class I HDACs has severe adverse effects because of their broad spectrum. We evaluated the therapeutic effect of a novel selective HDAC1 inhibitor TTA03-107 for collagen-induced arthritis (CIA) and collagen antibody-induced arthritis (CAIA) models in mice. We also examined the effect of TTA03-107 in bone marrow-derived macrophages (BMDMs) and T helper 17 (Th17) cells in vitro. Here, we delineate that TTA03-107 reduced the severity of autoimmune arthritis without obvious adverse effects in CIA and CAIA models. Moreover, TTA03-107 suppressed the production of inflammatory cytokines, such as interleukin (IL)-1ß, tumor necrosis factor (TNF)-α, and IL-17A, in serum and joint tissue. In vitro treatment of BMDMs with TTA03-107 dampened the M1 differentiation and inflammatory cytokine production. TTA03-107 also suppressed the differentiation of Th17 cells. These results demonstrate that TTA03-107 can attenuate the development of arthritis in experimental RA models by inhibiting the differentiation and activation of macrophages and Th17 cells. Therefore, TTA03-107 is a potential tsDMARD candidate.

Therapeutic effect and mechanism of Anemarrhenae Rhizoma on Alzheimer's disease based on multi-platform metabolomics analyses.

Anemarrhenae Rhizoma (AR) has multiple pharmacological activities to prevent and treat Alzheimer's disease (AD). However, the effect and its molecular mechanism are not elucidated clear. This study aims to evaluate AR's therapeutic effect and mechanism on AD model rats induced by D-galactose and AlCl3 with serum metabolomics. Behavior study, histopathological observations, and biochemical analyses were applied in the AD model assessment. Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-QTOF/MS) were combined with multivariate statistical analysis to identify potential biomarkers of AD and evaluate the therapeutic effect of AR on AD from the perspective of metabolomics. A total of 49 biomarkers associated with the AD model were identified by metabolomics, and pathway analysis was performed to obtain the metabolic pathways closely related to the model. With the pre-treatment of AR, 32 metabolites in the serum of AD model rats were significantly affected by AR compared with the AD model group. The regulated metabolites affected by AR were involved in the pathway of arginine biosynthesis, arginine and proline metabolism, ether lipid metabolism, glutathione metabolism, primary bile acid biosynthesis, and steroid biosynthesis. These multi-platform metabolomics analyses were in accord with the results of behavior study, histopathological observations, and biochemical analyses. This study explored the therapeutic mechanism of AR based on multi-platform metabolomics analyses and provided a scientific basis for the application of AR in the prevention and treatment of AD.

The efficacy and safety of biliary stenting alone versus stenting combined with iodine-125 seed strand implantation for the treatment of cholangiocarcinoma with malignant obstructive jaundice: a prospective, nonrandomized, controlled clinical study.

BACKGROUND: Many patients with cholangiocarcinoma also present with malignant obstructive jaundice (MOJ), which requires biliary drainage and stent placement. Recently, clinicians have tried to implant iodine-125 seeds into the biliary tract. However, we know very little about this treatment. This study aimed to compare biliary stenting alone and stenting combined with iodine-125 seed strand implantation to evaluate the safety and efficacy of this technique. METHODS: Sixty patients of cholangiocarcinoma with MOJ were enrolled into the study. According to voluntary choices, 30 received biliary stenting combined with iodine-125 seed strand implantation (study group), and 30 received biliary stent implantation alone (control group). Various biochemical indicators and the manifestation of computed tomography (CT) or magnetic resonance imaging (MRI) were compared before and after operation. We evaluated the safety and efficacy of these treatments by observing patients' symptoms, biochemical indicators and imaging data. Individualized antitumor therapy and regular follow-up were given according to the patients' condition. RESULTS: All 60 patients successfully completed operation. There were no statistically significant differences in baseline data between two groups (P>0.05). Before and 4 weeks after operation, the average total bilirubin levels decreased from 268.14±114.97 to 54.00±80.78 µmol/L in study group, and decreased from 228.89±162.04 to 58.80±61.14 µmol/L in control group. The difference between two groups was not statistically significant (P=0.796). Before and 4 weeks after operation, the average Child-Pugh scores decreased from 7.83±0.59 to 6.20±1.03 points in study group, and decreased from 7.93±1.08 to 7.07±1.39 points in control group, with a statistically significant difference between two groups (P=0.008). The median patency time of stents was 41.71±3.46 weeks in study group and 29.00±5.81 weeks in control group, with a statistically significant difference between the two groups (P=0.037). A statistically significant difference in disease control rate (DCR) was observed between the two groups (P=0.045). CONCLUSIONS: This study demonstrated biliary stenting combined with iodine-125 seed strand implantation may be consider as a safe treatment option for the patients of cholangiocarcinoma with MOJ, and this treatment may improve liver function, reduce the incidence of in-stent restenosis, and improve DCR.

Biology of resident tissue macrophages.

Although best known for their phagocytic and immunological functions, macrophages have increasingly been recognised as key players in the development, homeostasis and regeneration of their host tissues. Early during development, macrophages infiltrate and colonise all tissues within the body, developing symbiotically with their host tissues and acquiring unique functional adaptations based on the tissue microenvironment. These embryonic resident tissue macrophages (RTMs) are ontogenically distinct from the later adult bone marrow-derived monocytes, and in some tissues are self-maintained independently of general circulation at a steady state. In this article, we briefly discuss the ontogeny, maintenance and unique tissue adaptions of RTMs focusing on microglia, Kupffer cells, Langerhans cells, intestinal macrophages, cardiac macrophages and tumour-associated macrophages, and highlight their role in development, homeostasis and dysfunction.

The association of immune cell infiltration and prognostic value of tertiary lymphoid structures in gastric cancer.

Tertiary lymphoid structures (TLS) are lymphoid aggregates in tumor tissues and their potential significance in clinical applications has not been fully elucidated in gastric cancer. We evaluated TLS and tumor-infiltrating immune cells using H&E and immunohistochemistry staining in the recruited patients with gastric cancer. The prognostic value of TLS was evaluated by Kaplan-Meier analysis and further validated using gene expression profiling. The alterations in gene mutation, copy number variance, and DNA methylation across the TLS signature subtypes were analyzed based on the Cancer Genome Atlas cohort. High TLS density was associated with improved overall survival and disease-free survival. A combination of TLS density and TNM stage obtained higher prognostic accuracy than the TNM stage alone. Tumors with high TLS density showed significantly higher infiltration of CD3+, CD8+, and CD20+ cells but lower infiltration of CD68+ cells. Transcriptomics analysis demonstrated that high TLS signature status was positively associated with the activation of inflammation-related and immune-related pathways. Multi-omics data showed a distinct landscape of somatic mutations, copy number variants, and DNA methylation across TLS signature subtypes. Our results indicated that TLS might link with enhanced immune responses, and represent an independent and beneficial predictor of resected gastric cancer. Multi-omics analysis further revealed key tumor-associated molecular alterations across TLS signature subtypes, which might help explore the potential mechanism of the interaction between TLS formation and cancer cells.