TFAP2A downregulation mediates tumor-suppressive effect of miR-8072 in triple-negative breast cancer via inhibiting SNAI1 transcription.

BACKGROUND: Triple-negative breast cancer (TNBC) represents a highly aggressive subset of breast malignancies characterized by its challenging clinical management and unfavorable prognosis. While TFAP2A, a member of the AP-2 transcription factor family, has been implicated in maintaining the basal phenotype of breast cancer, its precise regulatory role in TNBC remains undefined. METHODS: In vitro assessments of TNBC cell growth and migratory potential were conducted using MTS, colony formation, and EdU assays. Quantitative PCR was employed to analyze mRNA expression levels, while Western blot was utilized to evaluate protein expression and phosphorylation status of AKT and ERK. The post-transcriptional regulation of TFAP2A by miR-8072 and the transcriptional activation of SNAI1 by TFAP2A were investigated through luciferase reporter assays. A xenograft mouse model was employed to assess the in vivo growth capacity of TNBC cells. RESULTS: Selective silencing of TFAP2A significantly impeded the proliferation and migration of TNBC cells, with elevated TFAP2A expression observed in breast cancer tissues. Notably, TNBC patients exhibiting heightened TFAP2A levels experienced abbreviated overall survival. Mechanistically, TFAP2A was identified as a transcriptional activator of SNAI1, a crucial regulator of epithelial-mesenchymal transition (EMT) and cellular proliferation, thereby augmenting the oncogenic properties of TFAP2A in TNBC. Moreover, miR-8072 was unveiled as a negative regulator of TFAP2A, exerting potent inhibitory effects on TNBC cell growth and migration. Importantly, the tumor-suppressive actions mediated by the miR-8072/TFAP2A axis were intricately associated with the attenuation of AKT/ERK signaling cascades and the blockade of EMT processes. CONCLUSIONS: Our findings unravel the role and underlying molecular mechanism of TFAP2A in driving tumorigenesis of TNBC. Targeting the TFAP2A/SNAI1 pathway and utilizing miR-8072 as a suppressor represent promising therapeutic strategies for treating TNBC.

Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes.

Schizophrenia is a devastating neuropsychiatric disorder affecting 1% of the world population and ranks as one of the disorders providing the most severe burden for society. Schizophrenia etiology remains obscure involving multi-risk factors, such as genetic, environmental, nutritional, and developmental factors. Complex interactions of genetic and environmental factors have been implicated in the etiology of schizophrenia. This review provides an overview of the historical origins, pathophysiological mechanisms, diagnosis, clinical symptoms and corresponding treatment of schizophrenia. In addition, as schizophrenia is a polygenic, genetic disorder caused by the combined action of multiple micro-effective genes, we further detail several approaches, such as candidate gene association study (CGAS) and genome-wide association study (GWAS), which are commonly used in schizophrenia genomics studies. A number of GWASs about schizophrenia have been performed with the hope to identify novel, consistent and influential risk genetic factors. Finally, some schizophrenia susceptibility genes have been identified and reported in recent years and their biological functions are also listed. This review may serve as a summary of past research on schizophrenia genomics and susceptibility genes (NRG1, DISC1, RELN, BDNF, MSI2), which may point the way to future schizophrenia genetics research. In addition, depending on the above discovery of susceptibility genes and their exact function, the development and application of antipsychotic drugs will be promoted in the future.

Meta-analysis of the SARS-CoV-2 positivity rate in municipal wastewater.

The aim of this study is to conduct a systematic analysis of the SARS-CoV-2 levels in urban sewage and evaluate the associated positivity rates, thereby developing comprehensive insights into the epidemic situation and providing valuable inputs for the development of effective disease prevention and control strategies. The PubMed, Scopus, Embase, China National Knowledge Infrastructure, Wanfang Database, and VIP databases were systematically searched based on the predefined retrieval strategy. The literature published up to February 2023 was meticulously screened according to the predetermined inclusion and exclusion criteria, and the relevant data were extracted for subsequent integration. The quality assessment of the included studies adhered to the rigorous Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement guidelines. The meta-analysis was conducted using Stata 17.0 software. The meta-analysis included a total of 34 studies, encompassing 8429 municipal wastewater samples. A random effects model was employed for the analysis, revealing an overall SARS-CoV-2 positivity rate of 53.7% in the municipal wastewater samples. The subgroup analyses demonstrated significant regional variations in the SARS-CoV-2 positivity rate in municipal wastewater, with Africa exhibiting the highest rate at 62.5% (95% confidence interval [CI] 47.4 ~ 76.0%) and Oceania displaying the lowest at 33.3% (95% CI 22.0 ~ 46.3%). However, the subgroup analyses based on the sampling site, strain prevalence period, and laboratory testing method did not yield any statistically significant differences. The SARS-CoV-2 positivity rate in wastewater is relatively high globally, although it exhibits regional disparities. Regions with larger populations and lower economic levels demonstrate higher viral detection rates in sewage. Different types of wastewater sampling sites can be employed to monitor distinct aspects of the COVID-19 pandemic. Continuous surveillance of SARS-CoV-2 in wastewater plays a pivotal role in complementing clinical data, helping to track outbreak progression across diverse regions.

Acute effects of ambient air pollution exposure on lung function in the elderly in Hangzhou, China.

Evidence of an association between acute air pollution exposure and lung function in the elderly is limited. This study is cross-sectional. We quantified the effects of air pollution exposure on lung function among 256 elderly by using a linear mixed model. The results revealed that air pollutants had lag effects on lung function after adjusting for confounders. PM2.5 (Lag03, Lag 03 was defined three-day moving average, and so forth), PM10, NO2 (Lag04-Lag05) were significantly associated with reduced FEV1. PM2.5 (Lag01-Lag02), PM10 (Lag0-Lag07), NO2 (Lag0, Lag04), and SO2 (Lag0) were significantly associated with reduced Forced vital capacity (FVC). PM2.5 (Lag04-Lag07) and NO2 (Lag01-Lag07) were significantly associated with reduced FEF25%-75%. The results showed the adverse change was stronger after adjusting for other pollutants in the PM models, and women were more susceptible to air pollutants. Therefore, we should pay attention to the problem of air pollution in the elderly, especially in women.

ATF6α promotes prostate cancer progression by enhancing PLA2G4A-mediated arachidonic acid metabolism and protecting tumor cells against ferroptosis.

BACKGROUND: Despite the clinical success of androgen receptor (AR)-targeted therapies, prostate cancer (PCa) inevitably progresses to castration-resistant prostate cancer (CRPC). Transcription factor 6 α (ATF6α), an effector of the unfolded protein response (UPR) that modulates the cellular response to endoplasmic reticulum (ER) stress, has been linked to tumor development, metastasis, and relapse. However, the role of ATF6α in CRPC remains unclear. METHODS: The effect of ATF6α on the CRPC-like phenotype in PCa cells was evaluated by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carb-Oxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium inner salt (MTS), 5-Bromo-2-deoxyUridine (BrdU) incorporation analysis, and cell death assay. Mechanistically, bioinformatic analysis was utilized to evaluate the potential of PLA2G4A as the target of ATF6α. Moreover, Western blot analysis, real-time polymerase chain reaction, chromatin immunoprecipitation, arachidonic acid (AA), and prostaglandin E2 (PGE2) assays were performed to identify the regulatory effect of ATF6α on PLA2G4A. RESULTS: In this study, we found that the increase of ATF6α expression in response to androgen deprivation generates PCa cells with a CRPC-like phenotype. PCa cells with high levels of ATF6α expression are resistant to ferroptosis, and genetic and pharmacological inhibition of ATF6α could, therefore, promote the ferroptotic death of tumor cells and delay PCa progression. Molecular analyses linked ATF6α regulation of ferroptosis to the PLA2G4A-mediated release of AA and the resulting increase in PGE2 production, the latter of which acts as an antiferroptotic factor. CONCLUSIONS: This study defines ATF6α as a novel antiferroptotic regulator that exacerbates PCa progression. In addition, our data establish ATF6α-PLA2G4A signaling as an important pathological pathway in PCa, and targeting this pathway may be a novel treatment strategy.

Association between MAP3K4 gene polymorphisms and the risk of schizophrenia susceptibility in a Northeast Chinese Han population.

Schizophrenia stands out as one of the most devastating psychiatric disorders. Previous findings have shown that schizophrenia is a polygenic genetic disorder. Thus, abnormal neurodevelopment and neurogenesis may be associated with the etiology of schizophrenia, so genes which affect these processes may be potential candidate genes of schizophrenia. Mitogen-activated protein kinase kinase kinase 4 (MAP3K4) gene is a member of the mitogen-activated protein kinase family. Taking into account previous findings, MAP3K4 plays a crucial role in the fundamental pathology of various nervous system diseases. In the present study, we aim to explore the association of MAP3K4 and schizophrenia in an independent case-control sample including 627 schizophrenic patients and 1175 healthy controls from a Northeast Chinese Han population. Both the allelic and genotypic association analyses showed that 6 SNPs in MAP3K4 were significantly associated with schizophrenia (rs590988, rs625977, rs9295134, rs12110787, rs1001808 and rs9355870). After rigorous Bonferroni correction, 4 SNPs (rs9295134, rs12110787, rs1001808 and rs9355870) were still significantly associated with the disease. The haplotype composed of these four SNPs also showed significantly global and individual association with schizophrenia. These results suggest that MAP3K4 is a susceptibility gene for schizophrenia in the Northeast Chinese Han population.

Polycomb-like 2 regulates PRC2 components to affect proliferation in glioma cells.

INTRODUCTION: The Polycomb group (PcG) is an important family of transcriptional regulators that controls growth and tumorigenesis. The PcG mainly consists of two complexes, PRC1 and Polycomb Repressive Complex 2 (PRC2). Polycomb-like 2 (PCL2) is known to interact with the PRC2 protein. The role of PCL2 in the development and progression of glioma is unclear. METHODS: We use The Cancer Genome Atlas (TCGA) database to detect the expression of PCL2 in various tumors. 117 cases of clinical glioma (WHOI-IV) were collected, and PCL2 expression and localization were detected by immunohistochemical staining. Glioma cells U87/U251 were infected with overexpressed and interfered PCL2. CCK8 assay, colony formation assay, EdU method, cell cycle and apoptosis were used to detect cell proliferation and apoptosis. Western blot was used to detect the expression of PRC2-related core proteins. After DZNeP intervention, PRC2 protein expression was again measured to discuss the mechanism of PCL2 action. RESULTS: TCGA database results and immunohistochemical staining results suggest that PCL2 is highly expressed in gliomas. We found that the PCL2 gene promoted tumor cell proliferation, enhanced the colony formation ability, and increased S phase in the cell cycle. The overexpression of PCL2 upregulated the expression levels of EZH2 and EED (two core members of PRC2), decreased the expression of SUZ12, increased the level of H3K27 trimethylation (H3K27me3), H3K4 dimethylation (H3K4me2), and decreased H3K9 dimethylation (H3K9me2). The result after interfering with PCL2 was the opposite. CONCLUSIONS: As an important accessory protein of PRC2, PCL2 can not only change the expression of PRC2 components, but also affect the expression level of Histone methylation. Therefore, PCL2 may be an important hub for regulating the synergy among PRC2 members. This study revealed PCL2 as a new target for tumor research and open up a new avenue for future research in glioma.

Simultaneous detection of porcine reproductive and respiratory syndrome virus and porcine circovirus 3 by SYBR Green І-based duplex real-time PCR.

The SYBR Green І-based duplex real-time PCR assay was developed for simultaneous detection of porcine reproductive and respiratory syndrome virus (PRRSV) and porcine circovirus 3 (PCV-3) genomes. PRRSV and PCV-3 were distinguished in the same sample by their distinctive melting temperature (Tm) which was 84 °C for PRRSV and 81.5 °C for PCV-3, and other non-targeted swine viruses showed no specific melting peaks. The detection limits of this assay were 46.1copies/µL for PRRSV and 49.3copies/µL for PCV-3, respectively. Thirty-three lung samples of porcine with respiratory and reproductive failure symptoms were collected and confirmed by the SYBR Green І-based real-time PCR assay and conventional PCR assay. The real-time PCR detection results showed that the PRRSV positive rate was 45.45%, the PCV-3 positive rate was 63.63%, the PRRSV and PCV-3 co-infection positive rate was 36.36%, which were more sensitive than conventional PCR detection. This duplex real-time PCR assay could be a rapid, sensitive and reliable method for the detection of PRRSV and PCV-3 co-infection.

Discovery of 1,3-Disubstituted 2,5-Diketopiperazine Derivatives as Potent Class I HDACs Inhibitors.

Histone deacetylases (HDACs) as attractive targets in many diseases therapies has been studied extensively, and its application in cancer research is the most important. Here, we developed a series of derivatives containing natural 2,5-diketopiperazine (DKP) skeleton. Several compounds exhibited distinct HDAC1 inhibitory activities, in particular 2a (IC50 = 405 nM). The selectivity profile for representative 2a indicated that this series of compounds had a preference for HDAC1-3. Additionally, 2a showed the best growth inhibitory activities against K562 and HL-60 tumor cell line with IC50 values of 4.23 and 4.16 µM, respectively. This work may lay the foundation for developing DKP-based HDAC inhibitors as a potential anticancer agent.

Tumor-promoting properties of miR-8084 in breast cancer through enhancing proliferation, suppressing apoptosis and inducing epithelial-mesenchymal transition.

BACKGROUND: Breast cancer is one of the most frequent malignancies and the second leading cause of cancer-related mortality in women. MicroRNAs play a key role in breast cancer development and progression. microRNA(miR)-8084 has been observed an aberrant expression in breast cancer. However, the functions and regulatory axes of miR-8084, particularly in breast cancer, were not entirely clear. METHODS: miR-8084 expression in breast cancer were investigated in a GEO dataset by in silico analysis and in 42 paired tumor tissues by qPCR. The effects of deregulation of miR-8084 on breast cancer cell proliferation, migration and invasion in vitro and tumorigenicity in vivo were examined by colony-formation assay, wound healing assay, transwell assay and nude mouse subcutaneous tumor formation model. The target gene of miR-8084 were predicted by TargetScan and miRDB, and confirmed by luciferase reporter system. The roles of miR-8084 in the breast cancer cell proliferation, apoptosis and epithelial-mesenchymal transition (EMT) were investigated by MTS, FACS and associated-marker detection by western blot. RESULTS: miR-8084 is significantly up-regulated in both serum and malignant tissues from the source of breast cancer patients. miR-8084 promotes the proliferation of breast cancer cells by activating ERK1/2 and AKT. Meanwhile miR-8084 inhibits apoptosis by decreasing p53-BAX related pathway. miR-8084 also enhances migration and invasion by inducing EMT. Moreover, the tumor suppressor ING2 is a potential target of miR-8084, and miR-8084 regulatory axes contribute to pro-tumor effect, at least partially through regulating ING2. CONCLUSION: Our results strongly suggest that miR-8084 functions as an oncogene that promotes the development and progression of breast cancer, and miR-8084 is a potential new diagnostic marker and therapeutic target of breast cancer.

Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers.

In our previous study, a R code-based mathematical model using RNA degradation patterns was developed for PMI determination in rat brain specimens. However, the postmortem changes of RNA are much more complicated in real cases, and there is still a huge challenge in efficiently applying information in animal data to real cases. In the present study, different RNA markers in both rat and human tissues were collected to screen valid biomarkers and the corresponding mathematical models were established and validated. With the same methodology, multi-RNA markers of myocardium and liver tissues were detected by qPCR and the Ct values of ten biomarkers generally increased with prolonged PMIs. 5S, miR-1 and miR-133a were shown to be optimum reference biomarkers that were not affected by a PMI of up to 5 or more days; however, liver-specific miR-122 began to degrade under higher temperatures and only 5S was selected as an endogenous control in the liver. Among the tested target RNAs, similar to our previous study in brain tissue, ß-actin (ΔCt) was found to exhibit the best correlation coefficient with PMI and was employed to build mathematical models using R software. Following validation, the relatively low estimated error demonstrated that PMIs can be accurately predicted in human cases through comprehensive consideration of various factors and using effective biomarkers.

Palladium-Catalyzed Domino Addition and Cyclization of Arylboronic Acids with 3-Hydroxyprop-1-yn-1-yl Phosphonates Leading to 1,2-Oxaphospholenes.

A novel and efficient palladium-catalyzed domino addition-cyclization of a wide range of arylboronic acids with various 3-hydroxyprop-1-yn-1-yl phosphonates has been developed, affording a convenient and powerful tool for the preparation of valuable 1,2-oxaphospholenes with mild reaction conditions, broad substrate applicability, and good to excellent yields. Mechanistic studies revealed that the reaction might involve Michael addition and nucleophilic substitution.

Postmortem interval determination using 18S-rRNA and microRNA.

The importance of determining postmortem interval (PMI) is crucial to criminal, civil and forensic cases. The precise estimation of PMI is a critical step in many death investigations. A technique exploiting the level of RNA, 18S rRNA and microRNA to estimate PMI was investigated. 18S-rRNA is a main ribosomal RNA presented as part of the ribosomal protein complex, while microRNA is a class of small non-coding single-stranded RNA, only 21-25 nucleotides, which has a strong conservation between different species. In this study, heart tissues were removed from adult rats at various postmortem intervals. An efficient extraction and detection protocol to analyze the level of 18S-rRNA and microRNA in postmortem tissue was carried out. The process consists of total RNA extraction, transcription and visualization by quantitative real time PCR. The result indicates a characteristic parabola relationship between postmortem period and Ct values for 18S-rRNA in dead rat hearts. The result indicates that the degradation pattern of tissue 18S-rRNA and microRNA is useful in the determination of the postmortem interval within seven days.

[Chemical constituents of Angelica nitida roots].

OBJECTIVE: To investigate the chemical constituents in the roots of Angelica nitida. METHODS: The chemical constituents were isolated by silica gel,their structures were identified by spectral analysis. RESULTS: Nine compounds were isolated and identified as isoimperatorin(I), imperatorin(II), cnidilin(III), beta-sitosterol(IV), isopimpinellin(V), phellopterin(VI), neobyakangelicol(VII), (3S)-2,2-dimethyl-3,5-dihydroxy-8-hydroxylmethyl-3,4-dihydro-2H,6H-benzo[1,2-b: 5,4-b'] dipyran-6-one(VIll) and byakangelicin (IX). CONCLUSION: All the compounds are isolated from the plant for the first time.

A case report of low-dose apatinib in the treatment of advanced triple-negative breast cancer.

Background: The current study shows that the incidence rate of triple-negative breast cancer accounts for 10-17% of invasive ductal carcinoma of the breast. There is no specific treatment target, the age of onset is relatively small, and the recurrence rate is relatively fast. The prognosis of breast cancer in different subtypes is the most unsatisfactory, with a 5-year survival rate of less than 15%. We report a typical case of metastatic advanced triple-negative breast cancer who responded well to apatinib mesylate after chemotherapy failure and achieved significant progression-free survival, which is relatively rare in triple-negative breast cancer with limited treatment means. Case Description: A 55-year-old female was surgically diagnosed as triple-negative breast cancer on April 17, 2015. After surgery, she had lung metastasis after standard adjuvant chemotherapy and radiotherapy. After receiving the NX regimen (vinorelbine, capecitabine) for 8 cycles, she progressed. Because the patient refused later, she was adjusted to apatinib mesylate, and serious adverse reactions occurred during the treatment process. By adjusting the drug dose, and low-dose apatinib treatment, the lung lesions were close to complete response (CR), reaching a progression-free survival period of 45 months. Conclusions: Low-dose apatinib may be a promising anti-tumor drug for triple-negative breast cancer patients, which needs more samples to verify. This case may provide a reference for the treatment selection of triple-negative metastatic breast cancer in the future.

Exploring the association between inflammatory biomarkers and gastric cancer development: A two-sample mendelian randomization analysis.

This study aimed to elucidate the potential causative links between inflammatory biomarkers and gastric cancer risk via a two-sample Mendelian randomization approach. Leveraging genome-wide association study (GWAS) data, we conducted a two-sample Mendelian randomization analysis. Instrumental variable selection for inflammatory markers - namely, tissue factor, monocyte chemotactic protein-1, E-selectin, interleukin 6 receptor, and fatty acid-binding protein 4 - was informed by SNP data from the IEU database. Strongly associated SNPs served as instrumental variables. We applied a suite of statistical methods, including Inverse Variance Weighted (IVW), Weighted Median Estimator (WME), MR-Egger, and mode-based estimates, to compute the odds ratios (ORs) that articulate the impact of these markers on gastric cancer susceptibility. The IVW method revealed that the interleukin 6 receptor was inversely correlated with gastric cancer progression (OR = 0.86, 95% CI = 0.74-0.99, P = .03), whereas fatty acid-binding protein 4 was found to elevate the risk (OR = 1.21, 95% CI = 1.05-1.39, P = .03). Instrumental variables comprised 5, 4, 7, 2, and 3 SNPs respectively. Convergent findings from WME, MR-Egger, and mode-based analyses corroborated these associations. Sensitivity checks, including heterogeneity, horizontal pleiotropy assessments, and leave-one-out diagnostics, affirmed the robustness and reliability of our instruments across diverse gastric malignancy tissues without substantial bias. Our research suggests that the interleukin 6 receptor potentially mitigates, while fatty acid-binding protein 4 may contribute to the pathogenesis of gastric cancer (GC). Unraveling the intricate biological interplay between inflammation and oncogenesis offers valuable insights for preemptive strategies and therapeutic interventions in gastric malignancy management.

Profile of hepatitis B virus resistance mutations against nucleoside/nucleotide analogue treatment in Chinese patients with chronic hepatitis B.

AIM: Antiviral drug-resistant HBV mutants are complex and currently partly understood. This study was performed to analyze the profile of hepatitis B virus (HBV) resistance mutations against nucleos(t)ide analogues (NAs) in patients with chronic hepatitis B (CHB). METHODS: This was a population-based cross-sectional study. Serum samples of 179 patients with virological breakthrough undergoing different NAs treatment were obtained between January 2008 and December 2012. The HBV reverse transcriptase region was sequenced and the following NAs-resistant changes including rtL80, rtI169, rtV173, rtL180, rtA181, rtT184, rtA194, rtS202, rtM204, rtN236 and rtM250 were analyzed. RESULTS: In this cohort, 21.2% (38/179) were genotypes B and 78.8% (141/179) were genotypes C; and 89.4% (160/179) of them detected NAs-resistant mutations. The prevalence of HBV mutations at rtM204 was 93.0% (106/114) in patients with lamivudine (LAM) or telbivudine (LdT)-based therapies, and that of rtN236 mutations was 76.1% (35/46) in patients with adefovir dipivoxil (ADV)-based therapies. Among LAM/LdT based therapies, HBV rtM204I was significantly associated with HBV rtL80I/V mutations [rtM204I+rtL80I/V (50.0%, 32/64) vs. rtM204V+rtL80I/V (27.3%,9/33), P=0.032]; while the HBV rtM204V mutations was significantly associated with HBV rtL180M mutations [rtM204V+rtL180M (100%, 33/33) vs. rtM204I+rtL180M (60.9%, 39/64), P<0.001]. Additionally, HBV rtA181 mutations were observed in 19.3% (22/114) of patients with LAM/LdT-based therapy and 23.9% (11/46) of patients with ADV-based therapy. CONCLUSIONS: Majority of virological breakthrough is associated with NAs-resistant HBV, and the mutation patterns of NAs-resistant HBV are complicated in real clinical practice.

The selection of endogenous genes in human postmortem tissues.

Precisely determining the postmortem interval (PMI), which is crucial to criminal and forensic cases, is a research in which quantitative RT-PCR (also known as qRT-PCR or real-time RT-PCR) has been used to analyse gene expression levels and data normalisation should be required to eliminate the differences among the samples. Therefore, it is quite necessary to find stable molecular biological markers in PMI determination research. In this study, we compared nine commonly used endogenous markers (containing ACTB, GAPDH, B2M, U6, 18S rRNA, hsa-mir-1, hsa-mir-9, hsa-mir-194-1 and hsa-mir-203) in the 109 human tissue samples obtained from autopsy at the aim of finding stable markers in human tissues with consideration of the impact of parameters (PMI and cause of death). After RNA was extracted from four tissues (heart, brain, kidney, skin), the Ct values of nine endogenous markers were obtained by qRT-PCR and assessed by geNorm software. The results showed that U6, GAPDH and 18S rRNA were the suitable markers in our set of samples in various corpse conditions, that B2M and ACTB were reliable internal controls in heart tissue only, and that microRNAs had such high M values that they should not be chosen for endogenous control genes.

[Study on serum fingerprint of menoprogen].

OBJECTIVE: To establish chromatographic fingerprint of components of Menoprogen absorbed into blood by RP-HPLC. METHODS: Kromasil C18 column was used, with of 0.1% phosphoric acid and acetonitrile as mobile phase in a gradient elution. The flow rate was 1.0 mL/min, the column temperature was 30 degrees C, the detection wavelength was 205 nm. 10 SD rats were administered 10 different batches of Menoprogen respectively. RESULTS: The fingerprint of Menoprogen was established. 18 common peaks were identified, the similarities were over 0. 95. By comparison drug and blank serum wiith contained drug serum, identified eight prototype components aborbed into blood directly and 10 metabolic components. CONCLUSION: The serum fingerprint of Menoprogen is established for the first time. 18 components are identifided in blood,one of them is hyperoside. It can reveal the change of chemical constituents after ingestion, and provide some data on material basis study in vivo for Menoprogen.

[Rapid determination of four components in Guizhi Fuling capsule with online two-dimensional liquid chromatography].

To establish the online two-dimensional liquid chromatography by using double gradient liquid chromatography system and UV detector, in order to simultaneously determine the content of paeoniflorin, paenol, amygdaloside and cinnamic acid. A pump of the two-dimensional liquid chromatography was adopted as the one-dimensional separation pump. C18 (3.0 mm x 150 mm, 3 microm) was used as the analytical column, with acetonitrile as the organic phase and 0.08% phosphoric acid + 0.08% triethylamine as the aqueous phase for gradient elution at the flow rate of 0.5 mL x min(-1). Another pump of the two-dimensional liquid chromatography was adopted as the two-dimensional separation pump. PAII C18 was used as the analytical column, with acetonitrile as the organic phase and 20 mmol, pH 3.0 monopotassium phosphate as the aqueous phase for gradient elution at the flow rate of 0.8 mL x min(-1). The detection wavelengths were set at 218, 230, 275 nm by using wavelength time-switching program. The linearity range of paeoniflorin, amygdaloside, paeonol and cinnamic acid were 5.55-222 (r = 0.999 7), 6.6-264 (r = 0.999 8), 3.3-132 (r = 0.999 5) and 0.315-12.6 mg x L(-1) (r = 0.999 7), respectively. The average recoveries of the four components were between 96.12% and 103.9%. The experiment proved that this method was so rapid and accurate in determination results that it could be used for evaluating drug quality.