OBJECTIVETo investigate the relationship between serotonin (5-HT) and epilepsy and the mechanism of learning-memory in pilocarpine (PILO)-induced epileptic rats after 5,7-dihydroxytryptamine (5,7-DHT) microinjection in median raphe nucleus.

METHODSAdult S D rats were randomly divided into 3 groups: PILO group, PILO+ 5,7-DHT group, vehicle control group; PILO group was divided into two groups by status epilepticus (SE): PILO + SE group and PILO - SE group. The rats' seizures and cortex electroencephalography (EEG) were observed by video EEG. The rats' spatial learning-memory was evaluated by Morris water maze. Finally, serotonergic neuron in raphe nuclei was observed by immunohistochemistry.

RESULTSAfter treatment of 5,7-DHT (PILO + 5,7-DHT group), the success rate, the mortality and the frequency of chronic spontaneous seizures in pilocarpine-induced epilepsy model were all improved. Compared with the control group, the number of serotonergic neuron in raphe nuclei was decrease in PILO + SE group (P < 0.05). Moreover, it's extremely decrease in PILO + 5,7-DHT group (P < 0.01). Compared with control group, the mean escape latency was prolonged, the times of crossing target was decreased and the retention time in target zone was shortened in PILO + SE group (P < 0.05), but there was no significant difference between PILO + SE group and PILO + 5,7-DHT group.

CONCLUSIONDepletion of serotonin may facility the rats' epileptic seizures, but we could not interpret which may cause epileptic rats' cognitive deficit.

5,7-Dihydroxytryptamine ; toxicity ; Animals ; Epilepsy ; chemically induced ; metabolism ; psychology ; Male ; Maze Learning ; Memory ; Pilocarpine ; adverse effects ; Raphe Nuclei ; Rats ; Rats, Sprague-Dawley ; Serotonin ; metabolism

OBJECTIVETo observe the dynamics of hippocampal release of glutamate (Glu) and gamma-aminobutyric acid (GABA) in epilepsy (TLE) after administration with high frequency stimulation (HFS).

METHODSThe SD were divided into four groups (n =10): (1) Control group (KB) the rats were injected intraperitoneally with saline 0.9%. (2) Kainic acid (KA) group: the rats were injected with KA. (3) Pseudo-deep brain stimulation (DBS) group: the KA-induced rats were implanted with rheophores alone. (4) DBS group: KA induced-rats with DBS in hippocampal epileptic foci. We then collected hippocampal extracellular fluid by microdialysis and the levels of Glu and GABA were measured by high-performance liquid chromatography (HPLC) and fluorescence detection.

RESULTSThere was no difference in the baseline of Glu and GABA in the four groups. In contrast, a significant increase in the content of Glu and GABA was shown in the three periods of KA-kindled seizures. Electrical stimulation of hippocampus resulted in a decrease of hippocampal Glu contents, while there was no change in GABA contents. Additionally, HFS of hippocampus normalized the Glu/GABA ratio in the chronic period of seizures.

CONCLUSIONThe high frequency stimulation of epileptic foci may protect against seizures by modulating the extracellular release of hippocampal Glu.

Animals ; Electric Stimulation ; methods ; Epilepsy ; chemically induced ; therapy ; Glutamic Acid ; secretion ; Hippocampus ; metabolism ; Kainic Acid ; Kindling, Neurologic ; drug effects ; Male ; Rats ; Rats, Sprague-Dawley ; gamma-Aminobutyric Acid ; secretion

OBJECTIVE: To build the multiple drug resistant human laryngeal cancer cell line and investigate its characteristics. METHOD: Human laryngeal cancer cells were exposed in stepwise escalating concentration of Taxol until the resistant cell line was developed. The IC50 and the resistance folds of multidrug resistance were detected by an ATP assay. The differences of cell cycle distribution, apoptosis, and Rhodamine accumulation between Hep-2 and Hep-2T cells were studied through flow cytometry. The MDR1 and MRP1 gene were detected through realtime quantitative RT-PCR, and the corresponding protein was detected through western-blotting. RESULT: A multidrug resistance cell line-Hep-2T induced by Taxol was effectively developed, whose drug resistance was 104 times that of Hep-2 cells. Doxorubicin, Gemcitabine, 5-Fu, Cisplatin all increased the drug resistance by 46.78, 1.95, 2.50, 1.05 folds. The cell cycle distribution altered. The apoptosis of Hep-2 cells was quite greater than that of Hep-2T cells (45.32% vs 4.26%, P < 0.01, flow cytometry), (54.47 +/- 48.95 vs 9.84 +/- 12.53 P < 0.01, hoechst staining) after Hep-2 and Hep-2T exposed to Taxol at IC50 to Hep-2. The copy ratio of MDR1/GAPDH mRNA of Hep-2T was 64.2 +/- 36.7 times that of Hep-2 (P < 0.05), while MRP1/GAPDH of Hep-2T was only 1.20 +/- 0.09 folds more than that of Hep-2 (P < 0.05). The proteins of MDR1/P-gp were greatly over expressed in Hep-2T cells compared with Hep-2 cells (P < 0.01) whose was in the same trend (P < 0.05), while the elevated expression of MRP1 was lower than that of MDR1/P-gp. CONCLUSION When considering the possible methods to reverse MDR of SCCHN, more emphasis should be laid on MDR1/P-gp, and when combining this with chemotherapy the non-P-gp substrate chemotherapeutic agents should be considered. At the same time, more attention should be paid to the changes of cell cycle distribution during the drug selection.
Cell Culture Techniques ; methods ; Cell Line, Tumor ; drug effects ; Drug Resistance, Multiple ; drug effects ; Drug Resistance, Neoplasm ; drug effects ; Humans ; Paclitaxel ; pharmacology

OBJECTIVETo investigate chloride channel 1 (CLCN1) gene mutation and clinical features of 2 Chinese patients with myotonia congenita.

METHODSClinical data of a patient from a family affected with myotonia congenita in addition with a sporadic patient from Fujian province were analyzed. Exons of CLCN1 gene were amplified and sequenced.

RESULTSThe proband from the affected family was found to carry a c.1024G>A heterozygous missense mutation in exon 8, whilst the sporadic patient has carried a c.1292C>T heterozygous missense mutation in exon 11.

CONCLUSIONDetection of CLCN1 gene mutation is an effective method for the diagnosis of myotonia congenita. Exon 8 of CLCN1 gene may be a mutational hotspot in Chinese patients with myotonia congenita.

Adolescent ; Base Sequence ; Chloride Channels ; genetics ; Exons ; Heterozygote ; Humans ; Male ; Mutation ; Myotonia Congenita ; diagnosis ; genetics ; Pedigree

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

OBJECTIVE: To analyze the effect of Xuezhikang on the markers of the serum lipid levels of cholesterol synthesis and absorption in early menopausal women with hypercholesterolemia, and preliminarily explore its lipid-lowering mechanism. METHODS: A total of 90 early menopausal women with hypercholesterolemia were enrolled from December, 2014 to May, 2016 from Beijing Anzhen Hospital, Capital Medical University, who were randomly allocated to receive Xuezhikang (1200 mg/d, orally) or atorvastatin (10 mg/d, orally) according to a random number table. Serum levels of some related biomarkers, including cholesterol synthesis markers (squalene, dihydrocholesterol, dehydrocholesterol, and lathosterol), and absorption markers (campesterol, stigmasterol, and sitosterol) as well as safety indices were obtained at baseline and after 8 weeks of the intervention. RESULTS: Eight weeks after treatment, both Xuezhikang and atorvastatin significantly reduced the levels of total cholesterol, triglycerides, low density cholesterol compared to baseline (all P<0.01). Xuezhikang significantly reduced the levels of squalene, dehydrocholesterol and lathosterol compared to baseline (all P<0.01), but atorvastatin only significantly reduced the level of squalene (P<0.01), compared to baseline. All cholesterol absorption markers showed no significant differences before and after treatment (P>0.05), however, a more obvious downward trend was shown in the Xuezhikang group. In addition, all the safety indices showed no significant differences between the two groups. Although the creatinekinase level in the Xuezhikang group was significantly higher, it remained within the safe range. CONCLUSIONS Xuezhikang may have more comprehensive effects on the markers of cholesterol synthesis and metabolism in early menopausal women with hypercholesterolemia through ergosterol and flavonoids in its "natural polypill."
Biomarkers ; Cholesterol ; Drugs, Chinese Herbal ; Female ; Humans ; Hypercholesterolemia/drug therapy* ; Menopause

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome