Detection of Amyotrophic Lateral Sclerosis (ALS) Comorbidity Trajectories Based on Principal Tree Model Analytics.

The multifaceted nature and swift progression of Amyotrophic Lateral Sclerosis (ALS) pose considerable challenges to our understanding of its evolution and interplay with comorbid conditions. This study seeks to elucidate the temporal dynamics of ALS progression and its interaction with associated diseases. We employed a principal tree-based model to decipher patterns within clinical data derived from a population-based database in Taiwan. The disease progression was portrayed as branched trajectories, each path representing a series of distinct stages. Each stage embodied the cumulative occurrence of co-existing diseases, depicted as nodes on the tree, with edges symbolizing potential transitions between these linked nodes. Our model identified eight distinct ALS patient trajectories, unveiling unique patterns of disease associations at various stages of progression. These patterns may suggest underlying disease mechanisms or risk factors. This research re-conceptualizes ALS progression as a migration through diverse stages, instead of the perspective of a sequence of isolated events. This new approach illuminates patterns of disease association across different progression phases. The insights obtained from this study hold the potential to inform doctors regarding the development of personalized treatment strategies, ultimately enhancing patient prognosis and quality of life.

Progression to myocardial infarction short-term death based on interval sequential pattern mining.

BACKGROUND: Myocardial infarction (MI) is one of the significant cardiovascular diseases (CVDs). According to Taiwanese health record analysis, the hazard rate reaches a peak in the initial year after diagnosis of MI, drops to a relatively low value, and maintains stable for the following years. Therefore, identifying suspicious comorbidity patterns of short-term death before the diagnosis may help achieve prolonged survival for MI patients. METHODS: Interval sequential pattern mining was applied with odds ratio to the hospitalization records from the Taiwan National Health Insurance Research Database to evaluate the disease progression and identify potential subjects at the earliest possible stage. RESULTS: Our analysis resulted in five disease pathways, including "diabetes mellitus," "other disorders of the urethra and urinary tract," "essential hypertension," "hypertensive heart disease," and "other forms of chronic ischemic heart disease" that led to short-term death after MI diagnosis, and these pathways covered half of the cohort. CONCLUSION: We explored the possibility of establishing trajectory patterns to identify the high-risk population of early mortality after MI.

Berberine Improves Inflammatory Responses of Diabetes Mellitus in Zucker Diabetic Fatty Rats and Insulin-Resistant HepG2 Cells through the PPM1B Pathway.

Berberine (BBR), a natural compound extracted from a Chinese herb, has been shown to effectively attenuate insulin resistance (IR) and inflammation in the clinic. However, its ameliorative mechanism against IR is not well defined. This study is aimed at investigating the effect of BBR and protein phosphatase, Mg2+/Mn2+-dependent 1B (PPM1B) on IR. Biochemical measurements and liver histopathology were detected using the biochemical analyzer and HE staining in ZDF rats, respectively. Microarray analysis of liver tissues was performed, and differentially expressed gene (DEG) levels were examined by quantitative real-time PCR (qPCR) and Western blot. Additionally, the effect of BBR was also explored in HepG2-IR cells. The glucose oxidase method and the fluorescent glucose analog were used to detect glucose consumption and uptake, respectively. The PKA inhibitor H89, ELISA, qPCR, Western blot, and immunofluorescence staining were employed to estimate the expression levels of related signaling pathways. To evaluate the roles of PPM1B, HepG2-IR cells were stably infected with lentivirus targeting PPM1B. The administration of BBR drastically decreased the body weight, urine volume, blood glucose, blood urea nitrogen (BUN), CHOL, hepatic index levels, and pathologic changes and improved ALB levels in ZDF rats with PPM1B upregulation. Furthermore, BBR effectively improves glucose consumption, uptake, and inflammation in HepG2-IR cells. The knockdown of PPM1B expression aggravated the inflammatory response and glycometabolism disorder in HepG2-IR cells. Mechanistically, a reversal in the expression of cAMP, PKA, PPM1B, PPARγ, LRP1, GLUT4, NF-κB p65, JNK, pIKKß Ser181, IKKß, IRS-1 Ser307, IRS-1, IRS-2 Ser731, IRS-2, PI3K p85, and AKT Ser473 contributes to ameliorate IR in HepG2-IR cells with BBR treatment. Altogether, these results suggest that BBR might regulate IR progression through the regulation of the cAMP, PKA, PPM1B, PPARγ, LRP1, GLUT4, NF-κB p65, JNK, pIKKß Ser181, IKKß, IRS-1 Ser307, IRS-1, IRS-2 Ser731, IRS-2, PI3K p85, and AKT Ser473 expression in the liver.

Network Pharmacology-Based Approach Uncovers the Mechanism of GuanXinNing Tablet for Treating Thrombus by MAPKs Signal Pathway.

BACKGROUND: GuanXinNing tablet (GXNT), a traditional Chinese patent medicine, has been found to have remarkable antithrombotic effects and can effectively inhibit pro-thrombotic factors in previous studies. However, the mechanism of its antithrombotic effects remains little known. METHODS: In this study, we first determined and identified the sources of each main compound in GXNT using liquid chromatography-mass spectrometry (LC-MS). Through the approach of network pharmacology, we predicted the action targets of the active components, mapped the target genes related to thrombus, and obtained potential antithrombotic targets for active ingredients. We then performed gene ontology (GO) enrichment analyses and KEGG signaling pathway analyses for the action targets, and constructed networks of active component-target and active component-target-pathway for GXNT. Additionally, we evaluated the pharmacodynamic effects of GXNT on thrombus using the rat thrombus model induced by FeCl3, observed the effects of antiplatelet aggregation via platelet assay, and further verified the results predicted by network pharmacology via Western blot. RESULTS: In total, 14 active ingredients were identified in GXNT, and 83 action targets were predicted, 17 of which are antithrombotic targets that potentially participate in processes including response to oxidative stress and positive regulation of blood vessel endothelial cell migration. KEGG pathway analyses revealed that the predicted action targets were involved in multiple signal pathways, such as MAPK, IL-17, and platelet activation. Pharmacodynamics study found that GXNT could significantly reduce the thrombus length and weight, lower platelet aggregation function, and decrease the levels of Fbg and PAI-1. In addition, GXNT could significantly increase 6-keto-PGF1α content and regulate the ratio of TXB2/6-keto-PGF1α, while not having dramatic effects on TXB2. GXNT was also observed to visibly inhibit maximum platelet aggregation. Herein, we further studied the thrombus-related MAPKs signaling pathway and found that GXNT could significantly reduce the phosphorylation levels of p38MAPK, ERK, and JNK proteins in platelet. CONCLUSIONS: This study revealed the pharmacodynamic material basis of GXNT and its potential multicomponent-multitarget-multipath pharmacological effects, confirmed the antithrombotic effects of GXNT, and showed that its mechanism may be related to inhibiting phosphorylation of p38, ERK, and JNK proteins in MAPKs signaling pathway, partially verifying the results from network pharmacology. The results from this study could provide a theoretical basis for the development and clinical application of GXNT.

Identification of Potential Therapeutic Targets in the Liver of Pioglitazone-Treated Type 2 Diabetes Sprague-Dawley Rats via Expression Profile Chip and iTRAQ Assay.

The aim of the present study was to identify key antidiabetic nodes in the livers of pioglitazone-treated type 2 diabetes mellitus Sprague-Dawley rats by transcriptomic and proteomic analysis. Rats were randomly divided into the control, the diabetes model, and the pioglitazone-treated groups. After treatment with pioglitazone for 11 weeks, the effects on fasting blood glucose, body weight, and blood biochemistry parameters were evaluated. Microarray and iTRAQ analysis were used to determine the differentially expressed genes/proteins in rat livers. 1.5-fold changes in gene expression and 1.2-fold changes in protein were set as the screening criteria. After treatment with pioglitazone for 11 weeks, fasting blood glucose in pioglitazone-treated rats was significantly lower than that in the model group. There was a tendency for pioglitazone to reduce TC, TG, TP, ALB, BUN, and HDL-c levels. Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) were applied to analyze differentially expressed genes/proteins. Furthermore, Western blotting and RT-qPCR were used to validate the results of microarray and iTRAQ. In conclusion, Cyp7a1, Cp, and RT1-EC2 are differentially expressed genes/proteins since they showed a similar trend in rats in the model group and the pioglitazone-treated group.

Identification and Verification of Potential Therapeutic Target Genes in Berberine-Treated Zucker Diabetic Fatty Rats through Bioinformatics Analysis.

BACKGROUND: Berberine is used to treat diabetes and dyslipidemia. However, the effect of berberine on specific diabetes treatment targets is unknown. In the current study, we investigated the effect of berberine on the random plasma glucose, glycated hemoglobin (HbA1C), AST, ALT, BUN and CREA levels of Zucker diabetic fatty (ZDF) rats, and we identified and verified the importance of potential therapeutic target genes to provide molecular information for further investigation of the mechanisms underlying the anti-diabetic effects of berberine. METHODS: ZDF rats were randomly divided into control (Con), diabetic (DM) and berberine-treated (300 mg⋅kg-1, BBR) groups. After the ZDF rats were treated with BBR for 12 weeks, its effect on the random plasma glucose and HbA1C levels was evaluated. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), blood urea nitrogen (BUN), CREA and OGTT were measured from blood, respectively. The levels of gene expression in liver samples were analyzed using an Agilent rat gene expression 4x44K microarray. The differentially expressed genes (DEGs) were screened as those with log2 (Con vs DM) ≥ 1 and log2 (BBR vs DM) ≥ 1 expression levels, which were the genes with up-regulated expression, and those with log2 (Con vs DM) ≤ -1 and log2 (BBR vs DM) ≤ -1 expression levels, which were the genes with down-regulated expression; the changes in gene expression were considered significant at P<0.05. The functions of the DEGs were determined using gene ontology (GO) and pathway analysis. Furthermore, a protein-protein interaction (PPI) network was constructed using STRING and Cytoscape software. The expression levels of the key node genes in the livers of the ZDF rats were also analyzed using qRT-PCR. RESULTS: We found that 12 weeks of berberine treatment significantly decreased the random plasma glucose, HbA1C levels and improved glucose tolerance. There was a tendency for berberine to reduce AST, ALT, BUN except increase CREA levels. In the livers of the BBR group, we found 154 DEGs, including 91 genes with up-regulated expression and 63 genes with down-regulated expression. In addition, GO enrichment analysis showed significant enrichment of the DEGs in the following categories: metabolic process, localization, cellular process, biological regulation and response to stimulus process. After the gene screening, KEGG pathway analysis showed that the target genes are involved in multiple pathways, including the lysine degradation, glycosaminoglycan biosynthesis-chondroitin sulfate/dermatan sulfate and pyruvate metabolism pathways. By combining the results of PPI network and KEGG pathway analyses, we identified seven key node genes. The qRT-PCR results confirmed that the expression of the RHOA, MAPK4 and DLAT genes was significantly down-regulated compared with the levels in DM group, whereas the expression of the SgK494, DOT1L, SETD2 and ME3 genes was significantly up-regulated in the BBR group. CONCLUSION: Berberine can significantly improve glucose metabolism and has a protective effects of liver and kidney function in ZDF rats. The qRT-PCR results for the crucial DEGs validated the microarray results. These results suggested that the RHOA, MAPK4, SGK494, DOT1L, SETD2, ME3 and DLAT genes are potential therapeutic target genes for the treatment of diabetes.

[Surveillance on hemorrhagic fever with renal syndrome in Jiangsu province from 1996 to 2000].

OBJECTIVE: To analyze the incidence rate, animal hosts, and human inapparent infection rate from surveillance data collected in Jiangsu province from 1996 to 2000 and the risk factors of hemorrhagic fever with renal syndrome (HFRS). METHODS: Data on the incidence rate was collected from the whole province to describe the epidemiologic characteristics of HFRS. Data on the density of rats, proportion of rats with virus, index of rats with virus and the human inapparent infection rate were collected in special areas according to the standardised protocol in the project. RESULTS: The incidence rate of HFRS reduced continuously in Jiangsu province, with a 42.17% reduction from 1996 to 2000. The ratio between the incidence rate of autumn-winter peak and spring peak had also reduced. The main host in spring was Rattus norvegicus (with a density of 3.07%), while that in autumn was Apodemus agrarius (with a density of 4.64%). The density of main hosts and mixed species of rats had all reduced during the five years of observation. The proportions of Rattus norvegicus, Apodemus agrarius, Mus musculus with virus were relatively high in spring and autumn. The index of Rattus norvegicus and Mus musculus with virus in spring were 0.025 5 and 0.028 4 respectively, while that of Apodemus agrarius with virus in autumn was 0.030 2. The average human inapparent infection rate was 4.73% in the five years. CONCLUSION: The incidence rate of HFRS in Jiangsu reduced significantly from 1996 to 2000, but the risk factors still widely existed. Suggesting that the surveillance program needs to be carried out steadily in Jiangsu.