This article analyzed the mechanism of Danggui Sini Decoction(DSD) in improving kidney injury caused by blood stasis syndrome(BSS) in rats. Firstly, 32 female SD rats were randomly divided into the following four groups: a normal group and a BSS group, both receiving an equal amount of distilled water by gavage; a normal+DSD group and a BSS+DSD group, both receiving 5.103 g·kg~(-1) DSD orally for a total of 14 days. Daily cold water bath was given to establish the BSS model, and on the 14th day, BSS rats were subcutaneously injected with 0.8 mg·kg~(-1) adrenaline. Normal rats were subjected to the water bath at 37 ℃ and injected with an equal volume of distilled water. After the experiment, 24-hour urine, serum, and kidney samples were collected for metabolomic analysis, biochemical measurements, and hematoxylin-eosin(HE) staining. The study then employed ~1H-NMR metabolomic technology to reveal the metabolic network regulated by DSD in improving BSS-induced kidney injury and used network pharmacology to preliminarily elucidate the key targets of the effectiveness of DSD. Pathological and biochemical analysis showed that DSD intervention significantly reduced inflammation and abnormal levels of blood creatinine, blood urea nitrogen, and urine protein in the kidneys. Metabolomic analysis indicated that DSD attenuated BSS-induced kidney injury primarily by regulating 10 differential metabolites and three major metabolic pathways(taurine and hypotaurine metabolism, citrate cycle, and acetaldehyde and dicarboxylic acid metabolism). Network pharmacology analysis suggested that the protective effect of DSD against BSS-induced kidney injury might be related to two key genes, ATP citrate lyase(ACLY) and nitric oxide synthase 2(NOS2), and two main metabolic pathways, i.e., arginine biosynthesis, and arginine and proline metabolism. This study, from the perspective of network regulation, provides initial insights and evidence into the mechanism of DSD in improving kidney injury induced by BSS, offering a basis for further investigation into the molecular mechanisms underlying its efficacy.
Rats ; Female ; Animals ; Rats, Sprague-Dawley ; Network Pharmacology ; Drugs, Chinese Herbal/chemistry* ; Metabolomics ; Kidney ; Arginine ; Water

Microcystin-leucine arginine (MC-LR), a potentially carcinogenic toxin, is produced by Cyanobacteria such as Microcystis and Ananabacteria during water bloom. Increasing evidence demonstrated that MC-LR induces male reproductive toxicity, mainly by inducing germ cell apoptosis, destroying cell cytoskeleton, interfering with DNA damage repair pathway, and damaging blood-testicular barrier (BTB), which eventually lead to male sterility. Testicular Sertoli cells are the somatic cells that directly contact with spermatogenic cells in seminiferous tubules. They not only regulate immune response to maintain testicular immune homeostasis by secreting a variety of cytokines and immunosuppressive factors, but also provide the protective effects of spermatogenic cells by forming BTB. MC-LR induces inflammation and apoptosis of Sertoli cells, and destroys the integrity of the BTB, and then causes spermatogenesis dysfunction.
Male ; Humans ; Sertoli Cells ; Leucine/pharmacology* ; Arginine/pharmacology* ; Microcystins/metabolism* ; Immunity

Urea cycle disorder (UCD) is a group of inherited metabolic diseases with high disability or fatality rate, which need long-term drug treatment and diet management. Except those with Citrin deficiency or liver transplantation, all pediatric patients require lifelong low protein diet with safe levels of protein intake and adequate energy and lipids supply for their corresponding age; supplementing essential amino acids and protein-free milk are also needed if necessary. The drugs for long-term use include nitrogen scavengers (sodium benzoate, sodium phenylbutyrate, glycerol phenylbutyrate), urea cycle activation/substrate supplementation agents (N-carbamylglutamate, arginine, citrulline), etc. Liver transplantation is recommended for pediatric patients not responding to standard diet and drug treatment, and those with severe progressive liver disease and/or recurrent metabolic decompensations. Gene therapy, stem cell therapy, enzyme therapy and other novel technologies may offer options for treatment in UCD patients. The regular biochemical assessments like blood ammonia, liver function and plasma amino acid profile are needed, and physical growth, intellectual development, nutritional intake should be also evaluated for adjusting treatment in time.
Humans ; Child ; Citrullinemia/drug therapy* ; Urea Cycle Disorders, Inborn/therapy* ; Arginine ; Sodium Benzoate/therapeutic use* ; Liver Transplantation

OBJECTIVES: Graves' ophthalmopathy (GO) is a multifactorial disease, and the mechanism of non coding RNA interactions and inflammatory cell infiltration patterns are not fully understood. This study aims to construct a competing endogenous RNA (ceRNA) network for this disease and clarify the infiltration patterns of inflammatory cells in orbital tissue to further explore the pathogenesis of GO. METHODS: The differentially expressed genes were identified using the GEO2R analysis tool. The Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology analysis were used to analyze differential genes. RNA interaction relationships were extracted from the RNA interactome database. Protein-protein interactions were identified using the STRING database and were visualized using Cytoscape. StarBase, miRcode, and DIANA-LncBase Experimental v.2 were used to construct ceRNA networks together with their interacted non-coding RNA. The CIBERSORT algorithm was used to detect the patterns of infiltrating immune cells in GO using R software. RESULTS: A total of 114 differentially expressed genes for GO and 121 pathways were detected using both the KEGG and gene ontology enrichment analysis. Four hub genes (SRSF6, DDX5, HNRNPC,and HNRNPM) were extracted from protein-protein interaction using cytoHubba in Cytoscape, 104 nodes and 142 edges were extracted, and a ceRNA network was identified (MALAT1-MIR21-DDX5). The results of immune cell analysis showed that in GO, the proportions of CD8⁺ T cells and CD4⁺ memory resting T cells were upregulated and downregulated, respectively. The proportion of CD4 memory resting T cells was positively correlated with the expression of MALAT1, MIR21, and DDX5. CONCLUSIONS This study has constructed a ceRNA regulatory network (MALAT1-MIR21-DDX5) in GO orbital tissue, clarifying the downregulation of the proportion of CD4⁺ stationary memory T cells and their positive regulatory relationship with ceRNA components, further revealing the pathogenesis of GO.
Humans ; CD8-Positive T-Lymphocytes ; RNA, Long Noncoding/genetics* ; Algorithms ; CD4-Positive T-Lymphocytes ; Down-Regulation ; Graves Ophthalmopathy/genetics* ; Gene Regulatory Networks ; MicroRNAs/genetics* ; Serine-Arginine Splicing Factors ; Phosphoproteins

Long noncoding RNAs (lncRNAs) play a critical role in the regulation of atherosclerosis. Here, we investigated the role of the lncRNA growth arrest-specific 5 (lncR-GAS5) in atherogenesis. We found that the enforced expression of lncR-GAS5 contributed to the development of atherosclerosis, which presented as increased plaque size and reduced collagen content. Moreover, impaired autophagy was observed, as shown by a decreased LC3II/LC3I protein ratio and an elevated P62 level in lncR-GAS5-overexpressing human aortic endothelial cells. By contrast, lncR-GAS5 knockdown promoted autophagy. Moreover, serine/arginine-rich splicing factor 10 (SRSF10) knockdown increased the LC3II/LC3I ratio and decreased the P62 level, thus enhancing the formation of autophagic vacuoles, autolysosomes, and autophagosomes. Mechanistically, lncR-GAS5 regulated the downstream splicing factor SRSF10 to impair autophagy in the endothelium, which was reversed by the knockdown of SRSF10. Further results revealed that overexpression of the lncR-GAS5-targeted gene miR-193-5p promoted autophagy and autophagic vacuole accumulation by repressing its direct target gene, SRSF10. Notably, miR-193-5p overexpression decreased plaque size and increased collagen content. Altogether, these findings demonstrate that lncR-GAS5 partially contributes to atherogenesis and plaque instability by impairing endothelial autophagy. In conclusion, lncR-GAS5 overexpression arrested endothelial autophagy through the miR-193-5p/SRSF10 signaling pathway. Thus, miR-193-5p/SRSF10 may serve as a novel treatment target for atherosclerosis.
Humans ; Atherosclerosis/genetics* ; Autophagy/genetics* ; Cell Cycle Proteins/metabolism* ; Endothelial Cells/metabolism* ; Endothelium/metabolism* ; MicroRNAs/metabolism* ; Repressor Proteins/metabolism* ; RNA Splicing Factors ; Serine-Arginine Splicing Factors/genetics* ; RNA, Long Noncoding/metabolism*

The present study investigated the effect of emodin on the serum metabolite profiles in the chronic constriction injury(CCI) model by non-target metabolomics and explored its analgesic mechanism. Twenty-four Sprague Dawley(SD) rats were randomly divided into a sham group(S), a CCI group(C), and an emodin group(E). The rats in the emodin group were taken emodin via gavage once a day for fifteen days(50 mg·kg~(-1)) on the first day after the CCI surgery. Mechanical withdrawal threshold(MWT) and thermal withdrawal threshold(TWL) in each group were performed before the CCI surgery and 3,7, 11, and 15 days after surgery. After 15 days, blood samples were collected from the abdominal aorta. The differential metabolites were screened out by non-target metabolomics and analyzed with Kyoto Encyclopedia of Genes and Genomes(KEGG) and ingenuity pathway analysis(IPA). From the third day after CCI surgery, the MWT and TWL values were reduced significantly in both CCI group and emodin group, compared with the sham group(P<0.01). At 15 days post-surgery, the MWT and TWL values in emodin group increased significantly compared with the CCI group(P<0.05). As revealed by non-target metabolomics, 72 differential serum metabolites were screened out from the C-S comparison, including 41 up-regulated and 31 down-regulated ones, while 26 differential serum metabolites from E-C comparison, including 10 up-regulated and 16 down-regulated ones. KEGG analysis showed that the differential metabolites in E-C comparison were enriched in the signaling pathways, such as sphingolipid metabolism, arginine biosynthesis, glycerophospholipid metabolism, and tryptophan metabolism. IPA showed that the differential metabolites were mainly involved in the lipid metabolism-molecular transport-small molecule biochemistry network. In conclusion, emodin can exert an analgesic role via regulating sphingolipid metabolism and arginine biosynthesis.
Analgesics/pharmacology* ; Animals ; Arginine ; Emodin/pharmacology* ; Neuralgia/metabolism* ; Rats ; Rats, Sprague-Dawley ; Sphingolipids

OBJECTIVES: To study the change in asymmetric dimethylarginine (ADMA) in the circulation system of full-term infants with persistent pulmonary hypertension of the newborn (PPHN) and its association with treatment response, as well as the possibility of ADMA as a therapeutic target and a marker for treatment response. METHODS: A prospective study was performed. A total of 30 full-term neonates who were diagnosed with PPHN within 3 days after birth were enrolled as the PPHN group, and the neonates without PPHN, matched for gestational age and age, who were treated or observed in the department of neonatology were enrolled as the control group. Serum samples were collected on days 1, 7, and 14 of treatment. The high-performance liquid chromatography-tandem mass spectrometry was used to measure the serum concentrations of L-arginine, ADMA, and its isomer symmetric dimethylarginine (SDMA). RESULTS: For the neonates in the control group, the serum concentrations of ADMA and L-arginine continuously increased and the serum concentration of SDMA continuously decreased within the first 14 days of treatment. On days 1 and 14, there was no significant difference in the serum concentration of ADMA between the control and PPHN groups (P>0.05). On day 7, the PPHN group had a significantly higher serum concentration of ADMA than the control group (P<0.05), while there were no significant differences in serum concentrations of SDMA or L-arginine (P>0.05). Moreover, after 7 days of treatment, the PPHN neonates with a systolic pulmonary arterial pressure (sPAP) of >35 mmHg had a significantly higher serum concentration of ADMA than those with an sPAP of ≤35 mm Hg. CONCLUSIONS There are continuous increases in the ADMA concentration and the ADMA/SDMA ratio in the circulation system of full-term infants within the first 2 weeks after birth, and this process is accelerated by the pathological process of PPHN, suggesting that ADMA may be involved in the pathologic process of PPHN. A high level of ADMA is associated with the resistance to PPHN treatment, suggesting that inhibition of ADMA might be a potential target of drug intervention to improve the treatment response of PPHN.
Arginine/analogs & derivatives* ; Biomarkers ; Humans ; Hypertension, Pulmonary/drug therapy* ; Infant, Newborn ; Prospective Studies

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is an underdiagnosed genetic heart disease worldwide. The management and prognosis of obstructive HCM (HOCM) and non-obstructive HCM (HNCM) are quite different, but it also remains challenging to discriminate these two subtypes. HCM is characterized by dysmetabolism, and myocardial amino acid (AA) metabolism is robustly changed. The present study aimed to delineate plasma AA and derivatives profiles, and identify potential biomarkers for HCM. METHODS: Plasma samples from 166 participants, including 57 cases of HOCM, 52 cases of HNCM, and 57 normal controls (NCs), who first visited the International Cooperation Center for HCM, Xijing Hospital between December 2019 and September 2020, were collected and analyzed by high-performance liquid chromatography-mass spectrometry based on targeted AA metabolomics. Three separate classification algorithms, including random forest, support vector machine, and logistic regression, were applied for the identification of specific AA and derivatives compositions for HCM and the development of screening models to discriminate HCM from NC as well as HOCM from HNCM. RESULTS: The univariate analysis showed that the serine, glycine, proline, citrulline, glutamine, cystine, creatinine, cysteine, choline, and aminoadipic acid levels in the HCM group were significantly different from those in the NC group. Four AAs and derivatives (Panel A; proline, glycine, cysteine, and choline) were screened out by multiple feature selection algorithms for discriminating HCM patients from NCs. The receiver operating characteristic (ROC) analysis in Panel A yielded an area under the ROC curve (AUC) of 0.83 (0.75-0.91) in the training set and 0.79 (0.65-0.94) in the validation set. Moreover, among 10 AAs and derivatives (arginine, phenylalanine, tyrosine, proline, alanine, asparagine, creatine, tryptophan, ornithine, and choline) with statistical significance between HOCM and HNCM, 3 AAs (Panel B; arginine, proline, and ornithine) were selected to differentiate the two subgroups. The AUC values in the training and validation sets for Panel B were 0.83 (0.74-0.93) and 0.82 (0.66-0.98), respectively. CONCLUSIONS The plasma AA and derivatives profiles were distinct between the HCM and NC groups. Based on the differential profiles, the two established screening models have potential value in assisting HCM screening and identifying whether it is obstructive.
Humans ; Amino Acids ; Cysteine ; Cardiomyopathy, Hypertrophic/diagnosis* ; Biomarkers ; Proline ; Arginine ; Ornithine ; Glycine ; Choline

A transcriptional regulatory network for wild-type and ATP7B-knockout HepG2 cells exposed to copper was constructed by bioinformatics methods to explore the potential mechanism of key transcription factors in the pathogenesis of hepatolenticular degeneration. The differentially expressed genes (DEGs) for wild-type and ATP7B-knockout HepG2 cell lines without copper and exposed to copper were collected from the gene expression omnibus (GEO) database. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis were performed for DEGs induced by copper. The key functional modules and genes were identified based on the protein-protein interaction (PPI) network. Moreover, the enrichment analysis of genes in functional modules was performed. Finally, a transcriptional regulatory network was constructed to screen the core transcription factors. A total of 1 034 genes, including 509 down-regulated genes and 525 up-regulated genes, were selected as DEGs. The up-regulated and down-regulated functional modules based on PPI network included 3 785 and 3 931 genes, respectively. Genes in key functional modules were enriched in cell-substrate junction, chromosomal region, spliceosomal complex and ribosome. They were involved in mRNA processing, histone modification, RNA splicing, regulation of DNA metabolic process, protein phosphorylation and other biological processes. Moreover, they were correlated to transcriptional coregulator activity, DNA-binding transcription factor binding, ubiquitin-like protein ligase binding and other molecular functions. KEGG analysis showed that genes in key functional modules were significantly enriched in hepatitis B, MAPK signaling pathway, cellular senescence and apoptosis, neurotrophin signaling pathway and pathways of neurodegeneration-multiple diseases. The transcriptional regulatory network contained 11 differentially expressed transcription factors and 96 DEGs. Among them, U2AF1, NFRKB, FUS, MAX, SRSF1, CEBPA and RXRA were the core transcription factors, which may facilitate the study of the biological function of relevant molecules in transcriptional regulation of hepatolenticular degeneration.
Humans ; Transcriptome ; Gene Expression Profiling/methods* ; Hepatolenticular Degeneration/genetics* ; Copper ; Gene Regulatory Networks ; Computational Biology/methods* ; Transcription Factors/genetics* ; DNA ; DNA-Binding Proteins/genetics* ; Serine-Arginine Splicing Factors/genetics*

This study investigated the potential mechanism of Cordyceps militaris(CM) against non-small cell lung cancer(NSCLC) based on serum untargeted metabolomics. Specifically, Balb/c nude mice were used to generate the human lung cancer A549 xenograft mouse model. The tumor volume, tumor weight, and tumor inhibition rate in mice in the model, cisplatin, Cordyceps(low-, medium-, and high-dose), and CM(low-, medium-, and high-dose) groups were compared to evaluate the influence of CM on lung cancer. Gas chromatography-mass spectrometry(GC-MS) was used for the analysis of mouse serum, SIMCA 13.0 for the compa-rison of metabolic profiles, and MetaboAnalyst 5.0 for the analysis of metabolic pathways. According to the pharmacodynamic data, the tumor volume and tumor weight of mice in high-dose CM group and cisplatin group decreased as compared with those in the model group(P<0.05 or P<0.01). The results of serum metabolomics showed that the metabolic profiles of the model group were significantly different from those of the high-dose CM group, and the content of endogenous metabolites was adjusted to different degrees. A total of 42 differential metabolites and 7 differential metabolic pathways were identified. In conclusion, CM could significantly inhibit the tumor growth of lung cancer xenograft mice. The mechanism is the likelihood that it influences the aminoacyl-tRNA biosynthesis, the metabolism of D-glutamine and D-glutamate, metabolism of alanine, aspartate, and glutamate, metabolism of glyoxylate and dicarboxylic acid, biosynthesis of phenylalanine, tyrosine, and tryptophan, arginine biosynthesis as well as nitrogen metabolism. This study elucidated the underlying mechanism of CM against NSCLC from the point of metabolites. The results would lay a foundation for the anticancer research and clinical application of CM.
Alanine/metabolism* ; Animals ; Arginine/metabolism* ; Aspartic Acid ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Cisplatin/pharmacology* ; Cordyceps ; Glutamic Acid ; Glutamine ; Glyoxylates/metabolism* ; Humans ; Lung Neoplasms/drug therapy* ; Metabolomics/methods* ; Mice ; Mice, Nude ; Nitrogen/metabolism* ; Phenylalanine/metabolism* ; RNA, Transfer/metabolism* ; Tryptophan/metabolism* ; Tyrosine/metabolism*