Network Toxicology Guided Mechanism Study on the Association between Thyroid Function and Exposures to Polychlorinated Biphenyls Mixture.

Polychlorinated biphenyls (PCBs) are persistent and highly toxic pollutants, which can accumulate in organisms and produce toxic effects, especially damaging the function of thyroid hormones. So far, the molecular mechanism of PCBs mixture and their metabolites interfering with thyroid hormones has not been studied thoroughly except for individual compounds. In this study, PubMed, Web of Science, and STITCH databases were used to search PCBs and their corresponding target proteins. The intersection of PCBs and thyroid hormone dysfunction target proteins was obtained from GeneCards. The "compounds-targets-pathways" network was constructed by Cytoscape software. And KEGG and Go analyses were performed for key targets. Finally, molecular docking was used to verify the binding effect. Four major active components, five key targets, and 10 kernel pathways were successfully screened by constructing the network. Functional enrichment analysis showed that the interference was mediated by cancer, proteoglycans, PI3K-Akt, thyroid hormone, and FoxO signaling pathways. The molecular docking results showed that the binding energies were less than -5 kcal·mol-1. PCBs and their metabolites may act on the key targets of MAPK3, MAPK1, RXRA, PIK3R1, and TP53. The toxic effect of sulfated and methyl sulfone PCBs is greater. The method of screening targets based on the simultaneous action of multiple PCBs can provide a reference for other research. The targets were not found in previous metabolite toxicity studies. It also provides a bridge for the toxic effects and experimental research of PCBs and their metabolites in the future.

Modulating effect of Xuanfei Baidu granule on host metabolism and gut microbiome in rats.

Xuanfei Baidu granule (XFBD) is a recommended patented drug for the prevention and treatment of Corona Virus Disease 2019 (COVID-19), which is approved by the National Medical Products Administration. XFBD suppresses the over-activated immune response caused by inflammatory factor storms in COVID-19 infection. The intestine plays a crucial role in the immune system. The mass spectrometry based fecal metabolomics with 16S rDNA sequencing were combined to evaluate the effects of XFBD on host metabolism and gut microbiome. Short-chain fatty acids (SCFAs) contents in fecal matter were quantified by gas chromatography-mass spectrometry (GC-MS). Plasma samples were used to detect immune and inflammatory levels. The results were verified with a rat model of intestinal disorder. Results indicated that XFBD could increase the immune level of Immunoglobulin A (IgA), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) (p < 0.05). The OPLS-DA analysis results showed that a total of 271 differential metabolites (178 up-regulated and 93 down-regulated) were identified based on the VIP ≥1, p < 0.05, FC ≥ 2 and FC ≤ 0.5. The metabolic pathways mainly involved D-Glutamine and D-glutamate metabolism, Arginine biosynthesis, Biotin metabolism, et al. XFBD modified the gut bacteria structure according to the principal component analysis (PCA), that is, 2 phyla, 3 classes, 5 orders, 11 families and 14 genera were significantly different based on taxonomic assignment. In addition, it could partially callback the relative abundance of intestinal microflora in bacterial disorder rats caused by antibiotics. It is suggested that the intervention mechanism of XFBD might be related to the regulation of intestinal flora composition. The evidence obtained in the study provides a useful reference for understanding the mechanism of XFBD.

Integrated UPLC-Q-TOF-MS/MS and Network Pharmacology Approach to Investigating the Metabolic Profile of Marein of Coreopsis tinctoria Nutt.

Marein is the main active compound of Coreopsis tinctoria Nutt., and its main activities include antioxidant, hypoglycemic, and hypotensive. After oral administration of marein, the blood concentration of marein is low. The metabolites of marein have not been reported systematically. In this study, a rapid and systematic method based on ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was established to detect metabolites of marein in vivo (plasma and urine) after oral administration and injection. Sixty-one metabolites were identified. The metabolites are formed through a wide range of metabolic reactions, including hydroxylation, glucuronidation, methylation, hydrolysis, and desorption of hydrogen. The liver microsome incubation was further used to investigate the metabolic rate of marein. Network pharmacology was applied to study the targets and pathways of marein and its metabolites. Marein and its metabolites act on the same targets to enhance the therapeutic effect. This research illuminates the metabolites and metabolic reaction of marein and establishes a basis for the development and rational utilization of C. tinctoria. Meanwhile, the analysis of prototype and metabolites together by network pharmacology techniques could provide a methodology for the study of component activity.

Application of multivariate statistical analysis and network pharmacology to explore the mechanism of Danggui Liuhuang Tang in treating perimenopausal syndrome.

ETHNOPHARMACOLOGICAL RELEVANCE: Danggui Liuhuang Tang (DGLHT), first recorded in "Lan-Shi-Mi-Cang" (written in 1276 AD), is a famous classical formula. In 2018, it was listed in the Catalogue of Ancient Classic and Famous Prescriptions (First Batch) formulated by the National Administration of Traditional Chinese Medicine and the National Medical Products Administration. Perimenopausal syndrome (PMS) refers to a series of syndromes with autonomic nervous system dysfunction and neuropsychological symptoms. The treatment of PMS demands non-hormonal drugs. Natural products are considered to be effective substitutes for the treatment of PMS. It is reported that DGLHT has not only good therapeutic effects but also higher safety and fewer side effects in the treatment of PMS. However, the mechanism of DGLHT in treating PMS is not clear. AIM OF THE STUDY: To explore the chemical basis and the mechanism of DGLHT in treating PMS. MATERIALS AND METHODS: Multivariate statistical analysis was used to analyze the difference of components in supernatant before and after compatibility of DGLHT based on LC-MS data. The qualitative analysis was performed on the precipitate formed in the decocting process using LC-MS while the quantitative analysis on the potential markers using LC-UV. Then, the potential markers were analyzed by network pharmacology. The regulatory effect of DGLHT on FSH, P and E2 were carried out in PMS rats. RESULTS: Five potential markers, epiberberine, coptisine, palmatine, berberine and baicalin, were screened from the analysis of compounds in the supernatant. Four complexes, composed of potential marker monomers, were identified in the sediment, including two that have not been reported. The key targets of potential markers include TNF, NOS3, EGFR, ESR1, PTGS2, AR, CDC42 and RPS6KB1. The top signaling pathways include the cGMP-PKG signaling pathway, PI3K-Akt signaling pathway and estrogen signaling pathway. DGLHT could call back the hormone levels of P and E2 in PMS rats. CONCLUSION: DGLHT active ingredients, epiberberine, coptisine, palmatine, berberine and baicalin contribute a lot to the therapeutic effect. And DGLHT takes effect by regulating hormones secreted by the ovary.

Herbal medicine in the treatment of COVID-19 based on the gut-lung axis.

Respiratory symptoms are most commonly experienced by patients in the early stages of novel coronavirus disease 2019 (COVID-19). However, with a better understanding of COVID-19, gastrointestinal symptoms such as diarrhea, nausea, and vomiting have attracted increasing attention. The gastrointestinal tract may be a target organ of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The intestinal microecological balance is a crucial factor for homeostasis, including immunity and inflammation, which are closely related to COVID-19. Herbal medicine can restore intestinal function and regulate the gut flora structure. Herbal medicine has a long history of treating lung diseases from the perspective of the intestine, which is called the gut-lung axis. The physiological activities of guts and lungs influence each other through intestinal flora, microflora metabolites, and mucosal immunity. Microecological modulators are included in the diagnosis and treatment protocols for COVID-19. In this review, we demonstrate the relationship between COVID-19 and the gut, gut-lung axis, and the role of herbal medicine in treating respiratory diseases originating from the intestinal tract. It is expected that the significance of herbal medicine in treating respiratory diseases from the perspective of the intestinal tract could lead to new ideas and methods for treatment. Graphical abstract: http://links.lww.com/AHM/A33.

Combining Network Pharmacology with Molecular Docking for Mechanistic Research on Thyroid Dysfunction Caused by Polybrominated Diphenyl Ethers and Their Metabolites.

Network pharmacology was used to illuminate the targets and pathways of polybrominated diphenyl ethers (PBDEs) causing thyroid dysfunction. A protein-protein interaction (PPI) network was constructed. Molecular docking was applied to analyze PBDEs and key targets according to the network pharmacology results. A total of 247 targets were found to be related to 16 PBDEs. Ten key targets with direct action were identified, including the top five PIK3R1, MAPK1, SRC, RXRA, and TP53. Gene Ontology (GO) functional enrichment analysis identified 75 biological items. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified 62 pathways mainly related to the regulation of the thyroid hormone signaling pathway, MAPK signaling pathway, PI3K-Akt signaling, pathways in cancer, proteoglycans in cancer, progesterone-mediated oocyte maturation, and others. The molecular docking results showed that BDE-99, BDE-153, 5-OH-BDE47, 5'-OH-BDE99, 5-BDE47 sulfate, and 5'-BDE99 sulfate have a good binding effect with the kernel targets. PBDEs could interfere with the thyroid hormone endocrine through multiple targets and biological pathways, and metabolites demonstrated stronger effects than the prototypes. This research provides a basis for further research on the toxicological effects and molecular mechanisms of PBDEs and their metabolites. Furthermore, the application of network pharmacology to the study of the toxicity mechanisms of environmental pollutants provides a new methodology for environmental toxicology.

[Predictive analysis of quality markers of Coptidis Rhizoma based on network pharmacology and multivariate statistical analysis].

Coptidis Rhizoma, as a bulk medicinal material, is in great demand in clinical practice. Its quality is uneven in the market due to the mixture of genuine, counterfeit and adulterants. Therefore, it is particularly important to establish a quality control system for Coptidis Rhizoma. Based on the concept of Chinese medicine quality marker(Q-marker), the potential quality markers of Coptidis Rhizoma were analyzed and predicted from the perspective of chemistry and pharmacology. The sources of the Q-markers of Coptidis Rhizoma were identified by literature retrieval. The potential Q-markers were then screened through the visualization of the "components-targets-pathways" network. High performance liquid chromatography(HPLC) was used to establish a multi-indicator qualitative and quantitative control method featuring fingerprints for 10 batches of Coptidis Rhizoma. A supervised mode of orthogonality partial least squares method-discriminant analysis(OPLS-DA) was used to screen the main marker components that caused differences between groups. The literature review results showed that the alkaloids were the main source of Coptidis Rhizoma Q-markers.The fingerprints of 13 common peaks were successfully established, and berberine, palmatine, berberine and epiberberine were selected as Q-markers of Coptidis Rhizoma, and their contents were determined.Based on the concept of the Q-marker of traditional Chinese medicine, the four components can be selected as the Q-marker of Coptidis Rhizoma after comprehensive consideration. The results of this study are not only conducive to the quality evaluation of Coptidis Rhizoma on the market, but also provide a reference for the overall quality control of Coptidis Rhizoma and lay foundation for the future exploration of the mechanism of Coptidis Rhizoma.

Network pharmacology combined with metabolomics to study the mechanism of Shenyan Kangfu Tablets in the treatment of diabetic nephropathy.

ETHNOPHARMACOLOGICAL RELEVANCE: Shenyan Kangfu Tablets (SYKFT) is a traditional prescription evolved from Shenqi Pills. It has been included in the Synopsis of the Golden Chamber for more than 2000 years. SYKFT was listed as a national Chinese medicine protected class by the China Food and Drug Administration. Diabetic nephropathy (DN) is one of the serious microvascular diseases caused by diabetes and is also one of the important factors leading to the death of patients. The pathogenesis of DN is diverse and complex, and there is no particularly effective drug treatment. There is clinical evidence that SYKFT has a good therapeutic effect on DN with no obvious adverse effects, but the mechanism of treatment is not clear. AIM OF THE STUDY: In this study, network pharmacology was combined with metabolomics technology to explore the mechanism of SYKFT in the treatment of DN. MATERIALS AND METHODS: First, the research team conducted a qualitative study of the chemical components contained in SYKFT, and carried out network pharmacology to search for potential targets based on the characterized chemical components. Second, we analysed the metabolic profile of db/db mouse urine based on UHPLC-QTOF-MS technology, and biomarkers were identified by multivariate statistical analysis. Then, we performed further pathway enrichment analysis. Finally, the results of metabolomics and network pharmacology were conjointly analysed. RESULTS: Seventy-five chemical components of SYKFT were identified. According to the TCMSP database, the corresponding targets of the qualitatively identified components were searched, and a total of 36 potentially active components and 160 targets related to DN were obtained. A total of 38 biomarkers were found in metabolomics based on UHPLC-QTOF-MS technology. Biosynthesis of unsaturated fatty acids and starch and sucrose metabolism are the most related pathways, the former of which has been rarely reported concerning DN. Finally, the results of the joint analysis show that two targets, hexokinase 2 (HK2) and maltase glucoamylase (MGAM), are the overlapping targets. It means they are not only the related targets of pathways involved in potential biomarkers in metabolomics but also the intersection targets of diseases and drugs identified by network pharmacology. CONCLUSIONS: The study reveals that the potential mechanism of SYKFT is most related to insulin resistance (IR) in the treatment of DN. It also proves that network pharmacology combined with metabolomics to find the mechanisms by which herbs treat complex diseases is a feasible tool.

[The Study of the Relationship Between Community Social Capital and Quality of Life among the Middle-aged and Elderly Rural-to-Urban Residents].

OBJECTIVE: To analyze the relationship between community social capital and quality of life among the middle-aged and elderly rural-to-urban residents, and to provide the policy reference for improving the health status. METHODS: A multi-stage random sampling method was used to select the research objects. Univariate analysis and logistic regression model were used to explore the effect of social capital on quality of life among the middle-aged and elderly rural-to-urban urbanized residents. RESULTS: The scores of self-rated physical health and mental health in the rural-to-urban residents were lower than those of urban residents ( P<0.05). The total score of community social capital, community participation and community cohesion in the rural-to-urban residents were lower than those of urban residents ( P<0.05). The result of multivariate analysis showed that community attachment and community cohesion were the protective factors of physical health ( P<0.05), and community cohesion was the protective factor of mental health ( P<0.05). CONCLUSION: There is a correlation between community belonging, community cohesion and quality of life among the elderly rural-to-urban residents. Attention should be paid to the promotion of community social capital so as to improve the health status of middle-aged and elderly rural-to-urban residents.

[Multilevel Modelling on the Prevalence and Determinants of Depressive Symptoms in Middle and Old-aged Rural-to-urban Immigrants in Chengdu].

OBJECTIVE: To determine the prevalence and determinants of depressive symptoms in middle and old-aged rural-to-urban immigrants in Chengdu. METHODS: A total of 1 645 middle and old-aged rural-to-urban immigrants aged over 45 yr. were selected to participate in a questionnaire survey through a multi-stage random sampling method in Chengdu. Multilevel (households and individuals) models were established to identify predictors of depressive symptoms. RESULTS: About 14.5% of respondents reported depressive symptoms. The multilevel model indicated that family clustering of depressive symptoms existed. Household income and length of urban life at the household level, and age, chronic diseases, smoking, and social support at the individual level were significant predictors of depressive symptoms. CONCLUSION: The prevalence of depressive symptoms in middle and old-aged rural-to-urban immigrants deserves increasing policy attention for the purpose of promoting mental health in the population.

XAF1 is frequently methylated in human esophageal cancer.

AIM: To explore epigenetic changes in the gene encoding X chromosome-linked inhibitor of apoptosis-associated factor 1 (XAF1) during esophageal carcinogenesis. METHODS: Methylation status of XAF1 was detected by methylation-specific polymerase chain reaction (MSP) in four esophageal cancer cell lines (KYSE30, KYSE70, BIC1 and partially methylated in TE3 cell lines), nine cases of normal mucosa, 72 cases of primary esophageal cancer and matched adjacent tissue. XAF1 expression was examined by semi-quantitative reverse transcriptional polymerase chain reaction and Western blotting before and after treatment with 5-aza-deoxycytidine (5-aza-dc), a demethylating agent. To investigate the correlation of XAF1 expression and methylation status in primary esophageal cancer, immunohistochemistry for XAF1 expression was performed in 32 cases of esophageal cancer and matched adjacent tissue. The association of methylation status and clinicopathological data was analyzed by logistic regression. RESULTS: MSP results were as follows: loss of XAF1 expression was found in three of four esophageal cell lines with promoter region hypermethylation (completely methylated in KYSE30, KYSE70 and BIC1 cell lines and partially in TE3 cells); all nine cases of normal esophageal mucosa were unmethylated; and 54/72 (75.00%) samples from patients with esophageal cancer were methylated, and 25/72 (34.70%) matched adjacent tissues were methylated (75.00% vs 34.70%, χ(2) = 23.5840, P = 0.000). mRNA level of XAF1 measured with semi-quantitative reverse transcription polymerase chain reaction was detectable only in TE3 cells, and no expression was detected in KYSE30, KYSE70 or BIC1 cells. Protein expression was not observed in KYSE30 cells by Western blotting before treatment with 5-aza-dc. After treatment, mRNA level of XAF1 was detectable in KYSE30, KYSE70 and BIC1 cells. Protein expression was detected in KYSE30 after treatment with 5-aza-dc. Immunohistochemistry was performed on 32 cases of esophageal cancer and adjacent tissue, and demonstrated XAF1 in the nucleus and cytoplasm. XAF1 staining was found in 20/32 samples of adjacent normal tissue but was present in only 8/32 samples of esophageal cancer tissue (χ(2)= 9.143, P = 0.002). XAF1 expression was decreased in cancer samples compared with adjacent tissues. In 32 cases of esophageal cancer, 24/32 samples were methylated, and 8/32 esophageal cancer tissues were unmethylated. XAF1 staining was found in 6/8 samples of unmethylated esophageal cancer and 2/24 samples of methylated esophageal cancer tissue. XAF1 staining was inversely correlated with XAF1 promoter region methylation (Fisher's exact test, P = 0.004). Regarding methylation status and clinicopathological data, no significant differences were found in sex, age, tumor size, tumor stage, or metastasis with respect to methylation of XAF1 for the 72 tissue samples from patients with esophageal cancer. CONCLUSION: XAF1 is frequently methylated in esophageal cancer, and XAF1 expression is regulated by promoter region hypermethylation.