Nur77 Prevents Osteoporosis by Inhibiting the NF-κB Signalling Pathway and Osteoclast Differentiation.

Inflammation is a major risk factor for osteoporosis, and reducing inflammatory levels is important for the prevention of osteoporosis. Although nuclear receptor 77 (Nur77) protects against inflammation in a variety of diseases, its role in osteoporosis is unknown. Therefore, the main purpose of this study was to investigate the osteoprotective and anti-inflammatory effects of Nur77. The microCT and haematoxylin and eosin staining results indicated that knockout of Nur77 accelerated femoral bone loss in mice. The enzyme-linked immunosorbent assay (ELISA) results showed that knockout of Nur77 increased the serum levels of hsCRP and IL-6. The expression levels of NF-κB, IL-6, TNF-α and osteoclastogenesis factors (TRAP, NFATC1, Car2, Ctsk) in the femurs of Nur77 knockout mice were increased significantly. Furthermore, in vitro, shNur77 promoted the differentiation of RAW264.7 cells into osteoclasts by activating NF-κB, which was confirmed by PDTC treatment. Mechanistically, Nur77 inhibited osteoclast differentiation by inducing IκB-α and suppressing IKK-ß. In RAW264.7 cells, overexpression of Nur77 alleviated inflammation induced by siIκB-α, while siIKK-ß alleviated inflammation induced by shNur77. Consistent with the in vivo studies, we found that compared with control group, older adults with high serum hsCRP levels were more likely to suffer from osteoporosis (OR = 1.76, p < 0.001). Our data suggest that Nur77 suppresses osteoclast differentiation by inhibiting the NF-κB signalling pathway, strongly supporting the notion that Nur77 has the potential to prevent and treat osteoporosis.

Erratum: Measurement of the Combined Levels of Serum Uric Acid and Alanine Aminotransferase and the Risk of Metabolic Syndrome in a Population Aged 60 Years or More in Northeastern China.

The authors informed the journal that several errors occurred in their manuscript and request the following to be corrected:  1. The affiliation for Jiabei Wang should be corrected from Department of Geriatric, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei, P.R. China to:  Department of Geriatric, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei, P.R. China Department of Geriatric, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, P.R. China 2. The affiliation for Difei Wang should be corrected from: Department of Geriatric, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei, P.R. China to: Department of Geriatric, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, P.R. China Reference: 1. Wang J, Wang Y, Chen F, Ma G, Wang D. Measurement of the Combined Levels of Serum Uric Acid and Alanine Aminotransferase and the Risk of Metabolic Syndrome in a Population Aged 60 Years or More in Northeastern China. Med Sci Monit, 2020; 26: e916459. doi: 10.12659/MSM.916459.

Measurement of the Combined Levels of Serum Uric Acid and Alanine Aminotransferase and the Risk of Metabolic Syndrome in a Population Aged 60 Years or More in Northeastern China.

BACKGROUND Serum uric acid (SUA) and alanine aminotransferase (ALT) levels are increased in patients with metabolic syndrome. This study aimed to investigate the association between the combined levels of SUA and ALT and the risk of metabolic syndrome in residents ≥60 years of age in Northeastern China. MATERIAL AND METHODS A population study included nine communities in Shenyang, Northeast China, and 3,998 participants (1,434 men and 2,564 women) who were ≥60 years old. SUA and ALT measurements (levels 1-3) and clinical parameters were recorded. Metabolic syndrome was diagnosed according to the criteria of the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). The association between the combined SUA and ALT levels and metabolic syndrome was determined by multivariate logistic regression analysis in tertiles that included Groups 1-9. RESULTS The prevalence of metabolic syndrome was 43.2% (men), and 61.9% (women), and the prevalence and odds ratio (OR) values increased with increasing SUA and ALT levels. The OR values of metabolic syndrome in the ALT Groups 2-3 were 1.329 (95% CI, 1.137-1.554) and 2.362 (95% CI, 2.006-2.781), and in the SUA Groups 2-3 the OR values were 1.718 (95% CI, 1.466-2.015) and 2.743 (95% CI, 2.310-3.256). The OR of the combined increase in SUA and ALT and metabolic syndrome in Groups 1-9 ranged from 1.494-5.889 (all, p<0.05). CONCLUSIONS Increased combined SUA and ALT was more significantly associated with metabolic syndrome than an increase in SUA or ALT alone.

Analysis of Panax ginseng miRNAs and Their Target Prediction Based on High-Throughput Sequencing.

Panax ginseng has been widely and effectively used as medicine for thousands of years. However, only limited studies have been conducted to date on ginseng miRNAs. In the present study, we collected 3 ginseng samples from the Changbai Mountain in China. Small RNA libraries were constructed and sequenced on the Illumina HiSeq platform. Sequencing analyses identified 3798 miRNAs, including 298 known miRNAs and 3500 potentially novel miRNAs. The miR166, miR159, and miR396 families were among the most highly expressed miRNAs in all libraries. The results of miRNA expression analyses were validated by qRT-PCR. Target gene prediction through computational and pathway annotation analyses revealed that the primary pathways were related to plant development, including metabolic processes and single-organism processes. It has been reported that plant miRNAs might be one of the hidden bioactive ingredients in medicinal plants. Based on the combined use of RNAhybrid, Miranda, and TargetScan software, a total of 50,992 potential human genes were predicted as the putative targets of 2868 miRNAs. Interestingly, the enriched KEGG pathways were associated with some human diseases, especially cancer, immune system diseases, and neurological disorders, and this could support the clinical use of ginseng. However, the human targets of ginseng miRNAs should be confirmed by further experimental validation. Our results provided valuable insight into ginseng miRNAs and the putative roles of these miRNAs.

Risk factors for depression in elderly diabetic patients and the effect of metformin on the condition.

BACKGROUND: At present, only a few studies have focused on the risk factors for depression in elderly diabetic patients, and there is little evidence for the effect of metformin in depressed elderly patients with diabetes than on its effect on blood glucose. The aim of the current work was to study the risk factors for depression in elderly diabetic patients and to ascertain the effects of metformin on the depressive state. METHODS: We initiated a 1:4 matched case-control study. The case group comprised 110 elderly diabetic patients with depression from nine communities in Shenyang in 2017. The control group comprised 440 non-depressed elderly diabetic patients from the same communities, which were matched by gender and age (± 2 years of age) with the case group. Depression was measured using the Geriatric Depression Scale-15, and we performed matched univariate and multivariate logistic regression analyses. RESULTS: In the multivariate analysis, overweight status, poor physical capabilities and low activity level, and the presence of more than two additional illnesses were risk factors for depression in elderly patients with diabetes. For these risk factors, the adjusted ORs (all P < 0.05) were as follows: an adjusted OR of 2.031 and 95% CI of 1.180-3.495; an adjusted OR of 2.342 and 95% CI of 1.465-3.743; and an adjusted OR of 5.350 and 95% CI of 2.222-12.883, respectively. Patients taking metformin had a lower risk of depression than those taking no medication, with an adjusted OR of 0.567 and 95% CI of 0.323-0.997 (P < 0.05). CONCLUSIONS: Overweight status, poor physical capabilities and low activity level, and the presence of more than two additional illnesses were risk factors for depression in elderly diabetic patients, and metformin was a protective factor against depression in elderly diabetic patients.

Strategies for imputing missing covariates in accelerated failure time models.

Missing covariates often occur in biomedical studies with survival outcomes. Multiple imputation via chained equations (MICE) is a semi-parametric and flexible approach that imputes multivariate data by a series of conditional models, one for each incomplete variable. When applying MICE, practitioners tend to specify the conditional models in a simple fashion largely dictated by the software, which could lead to suboptimal results. Practical guidelines for specifying appropriate conditional models in MICE are lacking. Motivated by a study of time to hip fractures in the Women's Health Initiative Observational Study using accelerated failure time models, we propose and experiment with some rationales leading to appropriate MICE specifications. This strategy starts with specifying a joint model for the variables involved. We first derive the conditional distribution of each variable under the joint model, then approximate these conditional distributions to the extent which can be characterized by commonly used regression models. We propose to fit separate models to impute incomplete variables by the failure status, which is key to generating appropriate MICE specifications for survival outcomes. The proposed strategy can be conveniently implemented with all available imputation software that uses fully conditional specifications. Our simulation results show that some commonly used simple MICE specifications can produce suboptimal results, while those based on the proposed strategy appear to perform well and be robust toward model misspecifications. Hence, we warn against a mechanical use of MICE and suggest careful modeling of the conditional distributions of variables to ensure proper performance.

Bioinformatics analyses of Shigella CRISPR structure and spacer classification.

Clustered regularly interspaced short palindromic repeats (CRISPR) are inheritable genetic elements of a variety of archaea and bacteria and indicative of the bacterial ecological adaptation, conferring acquired immunity against invading foreign nucleic acids. Shigella is an important pathogen for anthroponosis. This study aimed to analyze the features of Shigella CRISPR structure and classify the spacers through bioinformatics approach. Among 107 Shigella, 434 CRISPR structure loci were identified with two to seven loci in different strains. CRISPR-Q1, CRISPR-Q4 and CRISPR-Q5 were widely distributed in Shigella strains. Comparison of the first and last repeats of CRISPR1, CRISPR2 and CRISPR3 revealed several base variants and different stem-loop structures. A total of 259 cas genes were found among these 107 Shigella strains. The cas gene deletions were discovered in 88 strains. However, there is one strain that does not contain cas gene. Intact clusters of cas genes were found in 19 strains. From comprehensive analysis of sequence signature and BLAST and CRISPRTarget score, the 708 spacers were classified into three subtypes: Type I, Type II and Type III. Of them, Type I spacer referred to those linked with one gene segment, Type II spacer linked with two or more different gene segments, and Type III spacer undefined. This study examined the diversity of CRISPR/cas system in Shigella strains, demonstrated the main features of CRISPR structure and spacer classification, which provided critical information for elucidation of the mechanisms of spacer formation and exploration of the role the spacers play in the function of the CRISPR/cas system.

[Role of CRISPR/Cas systems in drugresistance and virulence and the effect of IS600 on the expression of cse2 in Shigella].

Objective: To analyze the relationship between CRISPR/Cas system and drug-resistance, virulence. To investigate the effect of IS600 on the expression of CRISPR associated gene cse2 in Shigella. Methods: CRISPR loci, CRISPR associated gene cse2, drug-resistant genes and virulent genes were detected by PCR in 33 Shigella strains; Trypan Blue counting test was used to detect bacterial virulence; Real-time PCR was used to detect relative mRNA expression of cse2; susceptibilities of Shigella strains were tested by agar diffusion method. Furthermore, we analyzed the relationship between CRISPR loci and drug-resistant genes, virulent genes. The effect of the IS600 on the expression of CRISPR associated gene cse2 was investigated. Results: The mortality of Hela cells infected by Shigella with CRISPR1 loci was significantly lower (P<0.05) than those infected by Shigella without CRISPR1. The mRNA expression level of cse2 in group with IS600 was significantly (P<0.05) lower than that in group without IS600. Conclusions: CRISPR loci were widely present in Shigella. Shigella without CRISPR1 has a higher pathogenicity. Due to the insertion of IS600, the mRNA expression level of cse2 was decreased in Shigella.

Detection and analysis of CRISPRs of Shigella.

The recently discovered CRISPRs (Clustered regularly interspaced short palindromic repeats) and Cas (CRISPR-associated) proteins are a novel genetic barrier that limits horizontal gene transfer in prokaryotes and the CRISPR loci provide a historical view of the exposure of prokaryotes to a variety of foreign genetic elements. The aim of study was to investigate the occurrence and distribution of the CRISPRs in Shigella. A collection of 61 strains of Shigella were screened for the existence of CRISPRs. Three CRISPR loci were identified among 61 shigella strains. CRISPR1/cas loci are detected in 49 strains of shigella. Yet, IS elements were detected in cas gene in some strains. In the remaining 12 Shigella flexneri strains, the CRISPR1/cas locus is deleted and only a cas3' pseudo gene and a repeat sequence are present. The presence of CRISPR2 is frequently accompanied by the emergence of CRISPR1. CRISPR3 loci were present in almost all strains (52/61). The length of CRISPR arrays varied from 1 to 9 spacers. Sequence analysis of the CRISPR arrays revealed that few spacers had matches in the GenBank databases. However, one spacer in CRISPR3 loci matches the cognate cas3 genes and no cas gene was present around CRISPR3 region. Analysis of CRISPR sequences show that CRISPR have little change which makes CRISPR poor genotyping markers. The present study is the first attempt to determine and analyze CRISPRs of shigella isolated from clinical patients.

[Detection of CRISPR and its relationship to drug resistance in Shigella].

OBJECTIVE: To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Shigella, and to analyze its relationship to drug resistance. METHODS: Four pairs of primers were used for the detection of convincing CRISPR structures CRISPR-S2 and CRISPR-S4, questionable CRISPR structures CRISPR-S1 and CRISPR-S3 in 60 Shigella strains. All primers were designed using sequences in CRISPR database. CRISPR Finder was used to analyze CRISPR and susceptibilities of Shigella strains were tested by agar diffusion method. Furthermore, we analyzed the relationship between drug resistance and CRISPR-S4. RESULTS: The positive rate of convincing CRISPR structures was 95%. The four CRISPR loci formed 12 spectral patterns (A-L), all of which contained convincing CRISPR structures except type K. We found one new repeat and 12 new spacers. The multi-drug resistance rate was 53. 33% . We found no significant difference between CRISPR-S4 and drug resistant. However, the repeat sequence of CRISPR-S4 in multi- or TE-resistance strains was mainly R4.1 with AC deletions in the 3' end, and the spacer sequences of CRISPR-S4 in multi-drug resistance strains were mainly Sp5.1, Sp6.1 and Sp7. CONCLUSION: CRISPR was common in Shigella. Variations df repeat sequences and diversities of spacer sequences might be related to drug resistance in Shigella.

[Bioinformatics Analysis of Clustered Regularly Interspaced Short Palindromic Repeats in the Genomes of Shigella].

This study was aimed to explore the features of clustered regularly interspaced short palindromic repeats (CRISPR) structures in Shigella by using bioinformatics. We used bioinformatics methods, including BLAST, alignment and RNA structure prediction, to analyze the CRISPR structures of Shigella genomes. The results showed that the CRISPRs existed in the four groups of Shigella, and the flanking sequences of upstream CRISPRs could be classified into the same group with those of the downstream. We also found some relatively conserved palindromic motifs in the leader sequences. Repeat sequences had the same group with corresponding flanking sequences, and could be classified into two different types by their RNA secondary structures, which contain "stem" and "ring". Some spacers were found to homologize with part sequences of plasmids or phages. The study indicated that there were correlations between repeat sequences and flanking sequences, and the repeats might act as a kind of recognition mechanism to mediate the interaction between foreign genetic elements and Cas proteins.

Cross-kingdom regulation of ginseng miRNA156 on immunity and metabolism.

AIM OF THE STUDY: To study the cross-border regulation of immunity and energy metabolism by ginseng miRNA156, and to provide a new perspective for further exploring the possibility of ginseng miRNA156 as a pharmacodynamic substance. MATERIALS AND METHODS: Combined with the previous research results of our research group, miRNA156 with high expression in blood sequencing of intragastrically administered with ginseng decoction was selected. Bioinformatics analysis was performed on the selected differential miRNA156. The target genes of differential miRNA156 were mainly enriched in metabolic, immune and other signaling pathways. According to the analysis results, the experimental part will use qi deficiency fatigue model and RAW264.7 cells. The contents of lactic acid (LA), creatine kinase (CK), blood urea nitrogen (BUN), lactate dehydrogenase (LD), liver glycogen (LG), muscle glycogen (MG), interleukin 4 (IL-4), matrix metallo-proteinase 9 (MMP-9), superoxide dismutase (SOD), malondialdehyde, phosphor-enolpyruvate carboxykinase (PEPCK), glucose-6-phosphatase (G6pase), nitric oxide (NO) and tumor necrosis factor-α (TNF-α) were measured after administration of miRNA156. RESULTS: Ginseng miRNA156 can accelerate the removal of metabolic waste during exercise. Increase the glycogen reserve in, provide energy for the body, regulate the activity of key gluconeogenesis enzyme phosphorus, improve the energy metabolism system of, and enhance the endurance of fatigue mice. The contents of matrix metalloproteinase 9, superoxide dismutase and malondialdehyde were affected, and the content of TNF-α in the supernatant of RAW264.7 cells was significantly increased, which had certain antioxidant capacity and potential immunomodulatory effects. CONCLUSION: Ginseng miRNA156 has a certain regulatory effect on the energy metabolism and immune function of mice, which makes it possible to regulate the cross-species regulation of ginseng miRNA in theory, provides ideas for ginseng miRNA to become a new pharmacodynamic substance.

Voxel-based morphometric magnetic resonance imaging evaluation of small head fetus: A comparative study with normal developmental fetus.

PURPOSE: To explore the application value of voxel-based morphometric (VBM) in prenatal diagnosis of microcephaly. METHODS: A retrospective study of magnetic resonance imaging of fetuses with microcephaly was performed using a single-shot fast spin echo sequence; semiautomatic segmentation of grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF); calculation of their volumes; and VBM analysis of their GM. Two independent samples t-test was used to statistically analyse the fetal GM volume in the microcephaly and normal control groups. Total intracranial volume (TIV), GM volume, WM volume, and CSF volume were linearly regressed against gestational age and compared between the two groups. RESULTS: In the fetus with microcephaly, GM volume of frontal lobe, temporal lobe, cuneus, anterior central gyrus, and posterior central gyrus decreased significantly (P < 0.001, corrected by family-wise error at mass level). The GM volume of microcephaly was significantly lower than that of the control group (except for 28 weeks of gestation) (P < 0.05). TIV, GM volume, WM volume, and CSF volume were all positively correlated with gestational age, and the curves in the microcephaly group were all lower than those in the control group. CONCLUSION: Compared with the normal control group, the GM volume of microcephaly fetuses decreased, and there were significant differences in many brain regions through VBM analysis.

Dynamic contrast-enhanced magnetic resonance imaging in epithelial ovarian tumor categorization: comparison with apparent diffusion coefficient histogram analysis and the tumor cell proliferation marker.

OBJECTIVE: To compare the capability of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) histogram analysis in epithelial ovarian tumor categorization. METHODS: We retrospectively recruited 52 patients with pathologically proven ovarian serous epithelial cancer from our institution. ADC histogram analysis was performed using FeAture Explorer software after outlining the whole lesion area on the ADC map. The ADC histogram parameter difference between subgroups was compared; the correlation between the quantitative parameters on MRI and Ki-67 expression was calculated for both groups. RESULTS: The repeatability of ADC measurements across the two methods was good; the area method (ADCarea) had better performance in repeatability than the ROI method (ADCroi). The ADCroi, ADCarea, Ktrans, and Kep values significantly differed between the groups (P < 0.05). The histogram parameters (percent10, entropy, minimum, range and variance) and DCE parameter (Ktrans) were strongly correlated with Ki-67 expression (P = 0.000), while the conventional ADC measurements were not significantly correlated with Ki-67 expression (P > 0.05). Overall, Ktrans had the best diagnostic performance for discriminating type I with type II ovarian cancers (AUC = 0.826). CONCLUSION: In the present study, both diffusion-weighted imaging (DWI) and DCE MRI could help classify ovarian cancer patients with high accuracy. ADC histogram analysis could accurately reflect the proliferative capability of tumor cells to some extent.

Identification of microRNA and analysis of target genes in Panax ginseng.

Objective: Ginsenosides, polysaccharides and phenols, the main active ingredients in Panax ginseng, are not different significantly in content between 3 and 5 years old of ginsengs called Yuan ginseng and more than ten years old ones called Shizhu ginseng. The responsible chemical compounds cannot fully explain difference in efficacy between them. According to reports in Lonicerae Japonicae Flos (Jinyinhua in Chinese) and Glycyrrhizae Radix et Rhizoma (Gancao in Chinese), microRNA may play a role in efficacy, so we identified microRNAs in P. ginseng at the different growth years and analyzed their target genes. Methods: Using high-throughput sequencing, the RNA-Seq, small RNA-Seq and degradome databases of P. ginseng were constructed. The differentially expressed microRNAs was identified by qRT-PCR. Results: A total of 63,875 unigenes and 24,154,579 small RNA clean reads were obtained from the roots of P. ginseng. From these small RNAs, 71 miRNA families were identified by bioinformatics target prediction software, including 34 conserved miRNAs, 37 non-conserved miRNA families, as well as 179 target genes of 17 known miRNAs. Through degradome sequencing and computation, we finally verified 13 targets of eight miRNAs involved in transcription, energy metabolism, biological stress and disease resistance, suggesting the significance of miRNAs in the development of P. ginseng. Consistently, major miRNA targets exhibited tissue specificity and complexity in expression patterns. Conclusion: Differential expression microRNAs were found in different growth years of ginsengs (Shizhu ginseng and Yuan ginseng), and the regulatory roles and functional annotations of miRNA targets in P. ginseng need further investigation.

Berberine Protects Against Dihydrotestosterone-Induced Human Ovarian Granulosa Cell Injury and Ferroptosis by Regulating the Circ_0097636/MiR-186-5p/SIRT3 Pathway.

Polycystic ovarian syndrome (PCOS) is an endocrine syndrome in women of reproductive age. Berberine (BBR) is a Chinese herbal monomer that exhibits many pharmacological properties related to PCOS treatment. This study aims to analyze the effect of BBR on a cell model of PCOS and the underlying mechanism. Human ovarian granulosa (KGN) cells were treated with dihydrotestosterone (DHT) to mimic a PCOS cell model. The RNA expression of circ_0097636, miR-186-5p, and sirtuin3 (SIRT3) was determined by quantitative real-time polymerase chain reaction (qRT-PCR). Protein expression was detected by western blotting. Cell viability was analyzed by CCK-8 assay. Cell proliferation and apoptosis were investigated by 5-ethynyl-2'-deoxyuridine (EdU) assay and flow cytometry assay, respectively. The levels of interleukin-6 (IL-6), IL-1ß, and tumor necrosis factor-α (TNF-α) were analyzed by enzyme-linked immunosorbent assays (ELISAs). Fe2+ concentration was assessed by an iron assay kit. Oxidative stress was assessed by detecting reactive oxygen species (ROS) level and malondialdehyde (MDA) level using commercial kits. The association of miR-186-5p with circ_0097636 and SIRT3 was identified by dual-luciferase reporter assay and RNA pull-down assay. Circ_0097636 expression was downregulated in the follicular fluid of PCOS patients and DHT-treated KGN cells when compared with control groups. BBR treatment partially relieved the DHT-induced inhibitory effect on cell proliferation and promoted effects on cell apoptosis, inflammation, ferroptosis, and oxidative stress in KGN cells. Additionally, circ_0097636 bound to miR-186-5p, and SIRT3 was identified as a target gene of miR-186-5p in KGN cells. BBR treatment ameliorated DHT-induced KGN cell injury by upregulating circ_0097636 and SIRT3 expression and downregulating miR-186-5p expression. Moreover, circ_0097636 overexpression protected KGN cells from DHT-induced injury by increasing SIRT3 expression. BBR ameliorated DHT-induced KGN cell injury and ferroptosis by regulating the circ_0097636/miR-186-5p/SIRT3 pathway.

High glucose-increased miR-200c contributes to cellular senescence and DNA damage in neural stem cells.

BACKGROUND: Maternal diabetes increases the risk for neural tube defects (NTDs). It is unclear if miRNAs, senescence, and DNA damage are involved in this process. In this study, we used neural stem cells as an in vitro proxy of embryonic neuroepithelium to investigate whether high glucose triggers neural stem cell senescence and DNA damage by upregulating miR-200c, which may be responsible for NTDs. METHODS: C17.2 neural stem cells were cultured with normal glucose (5 mM) or high glucose (≥16.7 mM) at different doses and time points for detecting miR-200c levels, markers of senescence and DNA damage. Neural stem cells were exposed to antioxidant SOD1 mimetic Tempol and high glucose for 48 h to test roles of oxidative stress on the miR-200c, senescence, and DNA damage levels. An miR-200c mimic and an inhibitor were transfected into neural stem cells to increase or decrease miR-200c activities. RESULTS: High glucose upregulated miR-200c in neural stem cells. A time course study of the effect of high glucose revealed that miR-200c initially increased at 12 h and reached its zenith at 18 h. Tempol reduced miR-200c levels caused by high glucose. High glucose induced markers of senescence and DNA damage in neural stem cells. Tempol abolished high glucose-induced markers of senescence and DNA damage. The miR-200c inhibitor suppressed high glucose-induced markers of senescence and DNA damage. Treatment with miR-200c mimic imitates high glucose-induced markers of senescence and DNA damage. CONCLUSIONS: We show that high glucose increases miR-200c, which contributes to cellular senescence and DNA damage in neural stem cells and provides a potential pathway for maternal diabetes-induced neural tube defects.

Genome mining of actinomycin shunt products from Kitasatospora sp. YINM00002.

Actinomycins are known for their anti-tumor, antibacterial and antiviral activities, and in particular for the ability of actinomycin D as a clinical drug to treat a variety of cancers. In our ongoing work to obtain novel natural products from endophytic actinomycetes derived from traditional Chinese herbs, we identified the potential to produce actinomycins in YINM00002, a Kitasatospora strain derived from Polygonatum kingianum. According to genome mining, we isolated actinomycins D and V (1 and 2) and small amounts of 4-methyl-3-hydroxyanthranilic acid (4-MHA) derivates (3 and 4) from strain fermentation broth. The presence of actinrhater A (3) and actinrhater B (4) reveals a mysterious shunt pathway in the early stages of actinomycin D biosynthesis. Our study provides a fresh perspective for further discovery and modification of novel actinomycins.

[Study on gene differential expressions of substance and energy metabolism in chronic superficial gastritis patients of Pi deficiency syndrome and of pi-wei hygropyrexia syndrome].

OBJECTIVE: To analyze the metabolic levels of energy and substance in chronic superficial gastritis (CSG) patients of Pi deficiency syndrome (PDS) and of Pi-Wei hygropyrexia syndrome (PWHS), including lipid, protein, nucleic acid, carbohydrate, trace element, and energy metabolism, and to study the pathogenesis mechanism of PDS from substance and energy metabolisms. METHODS: Recruited were 8 CSG patients who visited at First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine and Guangdong Provincial Hospital of Traditional Chinese Medicine from June 2004 to March 2005, including 4 patients of PDS and 4 of PWHS. Their gastric mucosae were used for experiments of DNA microarray. The dual-channel DNA microarray data were bioinformatically analyzed by BRB ArrayTools and IPA Software. RESULTS: Obtained were fifty-six differentially expressed genes involved in substance and energy metabolisms with the expression fold more than 2, including 11 genes up-regulated and 45 genes down-regulated. Of them, genes correlated to lipid metabolism included CRLS1, LRP11, FUT9, GPCPD1, PIGL, SULT1A4, B3GNT1, ST8SIA4, and ACADVL, mainly involved in the metabolic processes of fatty acid, cholesterol, phospholipids, and glycolipid. Genes correlated to protein metabolism included ASRGL1, AARSD1, EBNA1BP2, PUM2, MRPL52, C120RF65, PSMB8, PSME2, UBA7, RNF11, FBXO44, ZFYVE26, CHMP2A, SSR4, SNX4, RAB3B, RABL2A, GOLGA2, KDELR1, PHPT1, ACPP, PTPRF, CRKL, HDAC7, ADPRHL2, B3GNT1, ST8SIA4, DDOST, and FUT9, mainly involved in the biosynthesis processes of protein, ubiquitination, targeted transport and post-translation modification. Genes correlated to nucleic acid metabolism included DFFB, FLJ35220, TOP2A, SF3A3, CREB3, CRTC2, NR1D2, MED6, GTF2IRD1, C1ORF83, ZNF773, and ZMYND11, mainly involved in DNA replication and repair, transcription regulation. Genes correlated to carbohydrate metabolism included AGL, B3GNT1, FUT9, ST8SIA4, SULT1A4, DDOST, and PIGL, mainly involved in glucogen degradation and glycoconjugate biosynthesis. Genes correlated to trace element metabolism included COMMD1, SLC39A6, FTL, CHRFAM7A, SCGN, and S100A6, mainly involved in ion metabolisms of copper, zinc, ferri, and calcium. Genes correlated to energy metabolism included AK3 and COX7B, mainly involved in mitochondria structure and oxidative phosphorylation processes. CONCLUSION: The metabolic levels of energy and substance including lipid, protein, nucleic acid, carbohydrate, and trace element were obviously reduced in patients of PDS, which might be an important pathogenesis mechanism for its occurrence.

Long-term metal fume exposure assessment of workers in a shipbuilding factory.

This study aims to assess the metal fume exposure of welders and to determine exposure rates for similar exposure groups in a shipyard through the use of Near-field/Far-field (NF/FF) mathematical model and Bayesian decision analysis (BDA) technique. Emission rates of various metal fumes (i.e., total chromium (Cr), iron (Fe), lead (Pb), manganese (Mn), and nickel (Ni)) were experimentally determined for the gas metal arc welding and flux cored arc welding processes, which are commonly used in shipyards. Then the NF/FF field model which used the emission rates were further validated by welding simulation experiment, and together with long-term operation condition data obtained from the investigated shipyard, the predicted long-term exposure concentrations of workers was established and used as the prior distribution in the BDA. Along with the field monitoring metal fume concentrations which served as the likelihood distribution, the posterior decision distributions in the BDA were determined and used to assess workers' long-term metal exposures. Results show that the predicted exposure concentrations (Cp) and the field worker's exposure concentrations (Cm) were statistically correlated, and the high R2 (= 0.81-0.94) indicates that the proposed surrogate predicting method by the NF and FF model was adequate for predicting metal fume concentrations. The consistency in both prior and likelihood distributions suggests the resultant posterior would be more feasible to assess workers' long-term exposures. Welders' Fe, Mn and Pb exposures were found to exceed their corresponding action levels with a high probability (= 54%), indicating preventive measures should be taken immediately. The proposed approach provides a universal solution for conducting exposure assessment with usual limited number of personal exposure data.