Distribution characteristics and influencing factors of household consumption carbon emissions in China from a spatial perspective.

Household consumption carbon emissions (HCCEs) have become the main growth point of China's carbon emissions in the future. It is important to investigate the factors affecting the demand-side carbon emissions in order to find the accurate entry point of emission reduction and achieve carbon peaking and carbon neutrality goals. Different from previous studies, this study analyzed the spatial and temporal evolution characteristics of provincial HCCEs in China from a spatial perspective by using the Theil index and spatial auto-correlation and explored the key influencing factors and spatial spillover effects of HCCEs in different regions by using an econometric model. The results of the study showed that: (1) Per capita HCCEs increased by 11.90% annually, and the eastern region > northeastern region > western region > central region. (2) There were regional differences in per capita HCCEs, but the decrease was significant at 40.32%. (3) The spatial agglomeration effect of per capita HCCEs was significant, and the hot spots were mainly concentrated in the eastern coastal areas. (4) From the national level, every 1% increase in residents' consumption power would increase HCCEs by 2.489%. Which was the main factor for the growth of HCCEs, while the increase in fixed asset investment would restrain HCCEs. At the regional level, the change in population size significantly increased the HCCEs in the eastern and central regions. While for the western region, a 1% increase in population would reduce the HCCEs by 0.542%. For the eastern and central regions, the degree of aging and the consumption structure of residents could suppress regional HCCEs. However, the consumption structure of residents drove the growth of HCCEs in the western region. For the Northeast region, residents' consumption capacity and cooling degree days were the main factors for the growth of residents' consumption, while fixed asset investment could inhibit the growth of HCCEs.

[Development and application of SSR markers of Saposhnikovia divaricata based on transcriptome].

Transcriptome sequencing was employed to mine the simple sequence repeat(SSR) locus information of Saposhnikovia divaricata and design specific primers, which aimed to provide a basis for the research on the genetic diversity of S. divaricata germplasm resources. The seed purity, 1 000-seed weight, germination rate, and seed vigor were determined. MISA was used to obtain the SSR locus information from 12 606 unigene longer than 1 kb in the transcriptome database. Forty-three pairs of SSR primers designed in Primer 3 were used to analyze the polymorphism of 28 S. divaricata samples of different sources. The results showed that there were differences in the seed purity, 1 000-seed weight, germination rate, vigor, and seed length and width among S. divaricata samples of different sources. Particularly, the germination rate and seed vigor had significant differences, and HB-ZJK1, NMG-CF4, NMG-BT, NMG-HLE1, and NMG-CF2 had significantly higher 1 000-seed weight, germination rate, and seed vigor than the samples of other sources. Among the 86 233 unigene, 12 606(14.62%) unigene contained 15 958 SSR loci, with one SSR locus every 5 009 bp on average. The SSR loci were mainly single nucleotide and dinucleotide repeats, which were dominated by G/C and TC/AG, respectively. All the primers were screened by using 28 S. divaricata sample from different habitats, and the primers corresponding to the amplification products with clear bands and stable polymorphism were obtained. The clustering results of the biological characteristics and genetic diversity of the 28 S. divaricata samples were basically consistent, and the samples of the same origin(HB-AG1, HB-AG2, HB-ZJK1, and HB-ZJK2) generally gathered together and had close genetic relationship. The SSRs in S. divaricata transcriptome has high frequency, rich types, and high polymorphism, which provides candidate molecular markers for the germplasm identification, genetic map construction, and molecular-assisted breeding.

Upregulation Sestrin2 protects against hydrogen peroxide-induced oxidative damage bovine mammary epithelial cells via a Keap1-Nrf2/ARE pathway.

Sestrin2 (SESN2) is a highly conservative oxidative stress protein that can regulate energy metabolism, cell proliferation, apoptosis, and mitochondria autophagy processes. It plays a role as an antioxidant in various diseases. The aims of the present study were to explore the underlying role of SESN2 after hydrogen peroxide (H2 O2 ) treatment in bovine mammary epithelial cells (MAC-T cells) by the methods of knockout or overexpression of SESN2. The results show that knockout of Sestrin2 exacerbate apoptosis, upregulate the expressions of Bax/Bcl2 in H2 O2 -treated MAC-T cells. Moreover, knockout of SESN2 also promoted reactive oxygen species (ROS) generation and exacerbated oxidative damage in H2 O2 -treated MAC-T cells. On the contrary, overexpression of SESN2 decreased apoptosis by downregulation of Bax/Bcl2 level decreased ROS generation and blocked oxidative damage in H2 O2 -treated MAC-T cells. In addition, results indicate that the Kelch-like ECH-associated protein-1 (Keap1)-nuclear factor (erythroid-derived 2) like2 (Nrf2)/antioxidant response element (ARE) signaling pathway was activated by H2 O2 ; upregulation of SESN2 could relieve oxidative stress by inducing the expression of Keap1, Nrf2, HO-1, and NDPH: quinone oxidoreductase-1 protein. In conclusion, this study demonstrates that expression of SESN2 was significantly increased after H2 O2 treatment and that SESN2 can alleviate oxidative stress and cell apoptosis in H2 O2 -treated MAC-T cells through activation of the Keap1-Nrf2/ARE pathway.

Adipose-derived mesenchymal stem cells and extracellular vesicles confer antitumor activity in preclinical treatment of breast cancer.

Both antitumor and protumor property of mesenchymal stem cells (MSCs) have been demonstrated. We hypothesize that this contradiction is due to the heterogeneity of MSC subsets and that extracellular vesicles (EVs) from distinct MSC subsets can transfer the corresponding antitumor activities. Here we evaluated the antitumor activities of two subsets of adipose-derived mesenchymal stem cells (ADSCs) and ADSC-derived EVs (ADSC-EVs) in immunocompetent syngeneic mouse models of breast cancer. We identified CD90high and CD90low ADSC subsets and demonstrated that CD90high ADSCs could be converted into CD90low ADSCs by stimulation with LPS. CD90low ADSCs and its derived EVs significantly inhibited tumor growth in tumor-bearing mice. Benefit of tumor control were associated with decreased tumor cell proliferation and migration, and enhanced tumor cell apoptosis mediated by ADSC-EVs. Antioncogenic miRNA-16-5p loaded CD90low ADSC-EVs further significantly enhanced antitumor activities. Taken together, this study represents the first attempt to apply our newly identified antitumor ADSCs and its derived EVs in preclinical treatment of breast cancer. This study also provides the evidence that EVs can serve as a novel and effective therapeutics or drug delivery vesicle. This new therapeutic approach could be potentially applicable to breast cancer and many other types of cancer.

Regeneration of sciatic nerves by transplanted microvesicles of human neural stem cells derived from embryonic stem cells.

Injured nerves cannot regenerate on their own, and a lack of engraftable human nerves has been a major obstacle in cell-based therapies for regenerating damaged nerves. A monolayer culture approach to obtain adherent neural stem cells from human embryonic stem cells (hESC-NSCs) was established, and the greatest number of stemness characteristics were achieved by the eighth generation of hESC-NSCs (P8 hESC-NSCs). To overcome deficits in cell therapy, we used microvesicles secreted from P8 hESC-NSCs (hESC-NSC-MVs) instead of entire hESC-NSCs. To investigate the therapeutic efficacy of hESC-NSC-MVs in vitro, hESC-NSC-MVs were cocultured with dorsal root ganglia to determine the length of axons. In vivo, we transected the sciatic nerve in SD rats and created a 5-mm gap. A sciatic nerve defect was bridged using a silicone tube filled with hESC-NSC-MVs (45 µg) in the MVs group, P8 hESC-NSCs (1 × 106 single cells) in the cell group and PBS in the control group. The hESC-NSC-MVs group showed better morphological recovery and a significantly greater number of regenerated axons than the hESC-NSCs group 12 weeks after nerve injury. These results indicated that the hESC-NSC-MVs group had the greatest ability to repair and reconstruct nerve structure and function. As a result, hESC-NSC-MVs may have potential for applications in the field of nerve regenerative repair.

Human hair keratins promote the regeneration of peripheral nerves in a rat sciatic nerve crush model.

Axon regeneration and functional recovery after peripheral nerve injury remains a clinical challenge. Injury leads to axonal disintegration after which Schwann cells (SCs) and macrophages re-engage in the process of regeneration. At present, biomaterials are regarded as the most promising way to repair peripheral nerve damage. As a natural material, keratin has a wide range of sources and has good biocompatibility and biodegradability. Here, a keratin was extracted from human hair by reducing method and a keratin sponge with porous structure was obtained by further processing. The results suggested that keratin can promote cell adhesion, proliferation, migration as well as the secretion of neurotrophic factors by SCs and the regulation of the expression of macrophage inflammatory cytokines in vitro. We report for the first time that human hair keratin can promote the extension of axon in DRG neurons. The motor deficits caused by a sciatic nerve crush injury were alleviated by keratin sponge dressing in vivo. Thus, keratin has been identified as a valuable biomaterial that can enhance peripheral nerve regeneration.

[Programmed cell death induced by drought stress in sprout tumble of Pinellia ternata].

To further study the mechanism of sprout tumble caused by drought,drought stress was simulating with 30% PEG 6000,physiological,and then the morphological changes of Pinellia ternata cells at different treatment time were detected. The results indicated that,along with the period of drought stress continued,the contents of chlorophyll and water potential were decreased,relative electrical conductivity,contents of soluble sugar and MDA increased. Sprout tumble of P. ternata first occurred on the fourth day during drought stress,large scale of sprout tumble appeared on the eighth day with about 73% of tumble rate. The nuclei exposed to drought stress for 2 days were flattened,lobed,invalidated or irregular in shape and significant showed the apoptotic morphological characteristics. Adenylate transferase( ANT) gene expressions were inhibited by drought,with the rapid increase of Caspase-3 enzyme activity,the cell death rate increased. All this proves that the essence of sprout tumble caused by drought is programmed cell death,which may be a self dormancy protection mechanism of P. ternata against adverse environment.

MORC2 Enhances Tumor Growth by Promoting Angiogenesis and Tumor-Associated Macrophage Recruitment via Wnt/ß-Catenin in Lung Cancer.

BACKGROUND/AIMS: In this study, we aimed to investigate how MORC family CW-type zinc finger 2 (MORC2) affects tumor progression of lung cancer. METHODS: The MORC2 level was analyzed by real-time RT-PCR and immunohistochemistry (IHC) in normal control tissues and lung cancers. LL/2 cells overexpressing MORC2 were used to study how MORC2 expression influences lung cancer progression. The effects of MORC2 on cell viability, migration and invasion were assessed by MTT assay, Western blotting, and transwell assays, respectively. Afterwards, the effects of MORC2 on the activation of the Wnt/ß-catenin pathway were explored by Western blotting. The effects of MORC2 on tumor-associated macrophages (TAM) were determined by immunofluorescence (IF) staining, real-time RT-PCR and Western blotting. RESULTS: Our results showed that MORC2 was upregulated in lung cancers relative to adjacent tissues. The results also demonstrated that MORC2 promoted lung cancer tumor growth in vivo. Additionally, MORC2 overexpression stimulated the upregulation of vascular endothelial growth factor (VEGF), driving angiogenesis. MORC2 overexpression in LL/2 also increased the amount of aldehyde dehydrogenase-1 (ALDH1) protein, indicating that MORC2 increased cancer stem cell features. We further determined that MORC2 activated Wnt/ß-catenin signaling in lung cancer cells. Upregulation of macrophage-recruiting genes including VEGF and Macrophage-specific colony stimulating factor (CSF-1) recruits TAMs to the tumor site, which has the net effect of promoting additional tumor growth and metastasis. CONCLUSION: Our data suggest that MORC2 overexpression can drive lung cancer growth by stimulating the recruitment of TAMs in addition to angiogenesis and that activation of Wnt/ß-signaling may be a key pathway underlying this phenotype that is amenable to pharmacological intervention.

[Effects of shading on key enzyme genesexpression and accumulation of saponins in Panax japonicus var. major].

To explore the effects of shading and the expression of key enzyme genes on the synthesis and accumulation of Panax japonicus var. major saponins, different shading treatments (0%, 30%,50%) of potted P. japonicus var. major were used as test materials, the expression of three key enzyme genes(CAS,DS,ß-AS) of leaves and rhizomes in different growth periods of P. japonicus var. major was determined by real-time quantitative PCR, the content of total saponins was determined by ultraviolet spectrophotometry. The results indicated that, in flowering stage, CAS,DS,ß-AS were highly expressed in the aerial parts of P. japonicus var. major, 30% shading treatment significantly inhibited the expression of CAS in leaves and promoted the expression of DS and ß-AS in stems, leaves and flowers, it was speculated that the main part of saponin synthesis was leaf in this stage. Both the expression levels of DS and ß-AS and changes in the content of total saponins in leaves showed a tendency of low-high-low throughout the growth cycle, correlation coefficient analysis showed that there was a positive correlation between them. Compared with control, the expression levels of DS and ß-AS and the content of total saponins were greatly enhanced under shading treatment, 30% shading treatment significantly promoted the accumulation of total saponins. Therefore, it is suggested that 30% shading treatment should be applied to the artificial cultivation of P. japonicus var. major, which is beneficial to the accumulation and quality improvement of saponins.

[Flavor and meridian tropism classification analysis of Callianthemum taipaicum].

To explore the flavor and meridian tropism classification of Callianthemum taipaicum by principal components analysis(PCA) and partial least square analysis(PLS). Meanwhile,to establish a high performance liquid chromatography-tandem mass spectrometry(HPLC-ESI-MS) method for the simultaneous determination of 55 active components from 13 kinds of Ranunculaceae of Chinese traditional herbs. Samples were separated on HPLC system by Agilent 5 TC-C18（2）（4.6 mm×250 mm，5 µm）column and eluted with acetonitrile and 0.1% formic acid at the flow rate of 0.6 mL·min⁻¹. The data were performed by HPLC-ESI-MS with multiple reaction monitoring（MRM）scanning mode under positive and negative ion modes and quantified by external standards. The data from 13 Ranunculaceae herbs were analyzed by the PLS-tree and cooman's prediction of PCA and PLS to evaluate the similarities and differences of C. taipaicum in flavor and meridian tropism. The results showed that calibration curves of 55 components all showed good linearity, r>0.99,with good precision, repeatability and stability. After compared to other 12 herbs,PCA and PLS results revealed that the C. taipaicum belonged to lung and bladder meridians while its flavor attributive to pungent,warm in nature. In conclusion,the analysis approach of chemometric calculation combined with multi-components quantification is suitable for the classification of meridian tropism and flavor of Chinese traditional medicine,which can be used for alternative research of rare herbs.

Functional characterization of CYP2D6 enhancer polymorphisms.

CYP2D6 metabolizes nearly 25% of clinically used drugs. Genetic polymorphisms cause large inter-individual variability in CYP2D6 enzyme activity and are currently used as biomarker to predict CYP2D6 metabolizer phenotype. Previously, we had identified a region 115 kb downstream of CYP2D6 as enhancer for CYP2D6, containing two completely linked single nucleotide polymorphisms (SNPs), rs133333 and rs5758550, associated with enhanced transcription. However, the enhancer effect on CYP2D6 expression, and the causative variant, remained to be ascertained. To characterize the CYP2D6 enhancer element, we applied chromatin conformation capture combined with the next-generation sequencing (4C assays) and chromatin immunoprecipitation with P300 antibody, in HepG2 and human primary culture hepatocytes. The results confirmed the role of the previously identified enhancer region in CYP2D6 expression, expanding the number of candidate variants to three highly linked SNPs (rs133333, rs5758550 and rs4822082). Among these, only rs5758550 demonstrated regulating enhancer activity in a reporter gene assay. Use of clustered regularly interspaced short palindromic repeats mediated genome editing in HepG2 cells targeting suspected enhancer regions decreased CYP2D6 mRNA expression by 70%, only upon deletion of the rs5758550 region. These results demonstrate robust effects of both the enhancer element and SNP rs5758550 on CYP2D6 expression, supporting consideration of rs5758550 for CYP2D6 genotyping panels to yield more accurate phenotype prediction.

Method to represent the distribution of QTL additive and dominance effects associated with quantitative traits in computer simulation.

BACKGROUND: Computer simulation is a resource which can be employed to identify optimal breeding strategies to effectively and efficiently achieve specific goals in developing improved cultivars. In some instances, it is crucial to assess in silico the options as well as the impact of various crossing schemes and breeding approaches on performance for traits of interest such as grain yield. For this, a means by which gene effects can be represented in the genome model is critical. RESULTS: To address this need, we devised a method to represent the genomic distribution of additive and dominance gene effects associated with quantitative traits. The method, based on meta-analysis of previously-estimated QTL effects following Bennewitz and Meuwissen (J Anim Breed Genet 127:171-9, 2010), utilizes a modified Dirichlet process Gaussian mixture model (DPGMM) to fit the number of mixture components and estimate parameters (i.e. mean and variance) of the genomic distribution. The method was demonstrated using several maize QTL data sets to provide estimates of additive and dominance effects for grain yield and other quantitative traits for application in maize genome simulations. CONCLUSIONS: The DPGMM method offers an alternative to the over-simplified infinitesimal model in computer simulation as a means to better represent the genetic architecture of quantitative traits, which likely involve some large effects in addition to many small effects. Furthermore, it confers an advantage over other methods in that the number of mixture model components need not be known a priori. In addition, the method is robust with use of large-scale, multi-allelic data sets or with meta-analyses of smaller QTL data sets which may be derived from bi-parental populations in precisely estimating distribution parameters. Thus, the method has high utility in representing the genetic architecture of quantitative traits in computer simulation.

Common CYP2D6 polymorphisms affecting alternative splicing and transcription: long-range haplotypes with two regulatory variants modulate CYP2D6 activity.

Cytochrome P450 2D6 (CYP2D6) is involved in the metabolism of 25% of clinically used drugs. Genetic polymorphisms cause substantial variation in CYP2D6 activity and serve as biomarkers guiding drug therapy. However, genotype-phenotype relationships remain ambiguous except for poor metabolizers carrying null alleles, suggesting the presence of yet unknown genetic variants. Searching for regulatory CYP2D6 polymorphisms, we find that a SNP defining the CYP2D6*2 allele, rs16947 [R296C, 17-60% minor allele frequency (MAF)], previously thought to convey normal activity, alters exon 6 splicing, thereby reducing CYP2D6 expression at least 2-fold. In addition, two completely linked SNPs (rs5758550/rs133333, MAF 13-42%) increase CYP2D6 transcription more than 2-fold, located in a distant downstream enhancer region (>100 kb) that interacts with the CYP2D6 promoter. In high linkage disequilibrium (LD) with each other, rs16947 and the enhancer SNPs form haplotypes that affect CYP2D6 enzyme activity in vivo. In a pediatric cohort of 164 individuals, rs16947 alone (minor haplotype frequency 28%) was associated with reduced CYP2D6 metabolic activity (measured as dextromethorphan/metabolite ratios), whereas rs5758550/rs133333 alone (frequency 3%) resulted in increased CYP2D6 activity, while haplotypes containing both rs16947 and rs5758550/rs133333 were similar to the wild-type. Other alleles used in biomarker panels carrying these variants such as CYP2D6*41 require re-evaluation of independent effects on CYP2D6 activity. The occurrence of two regulatory variants of high frequency and in high LD, residing on a long haplotype, highlights the importance of gene architecture, likely shaped by evolutionary selection pressures, in determining activity of encoded proteins.

Combining powers of linkage and association mapping for precise dissection of QTL controlling resistance to gray leaf spot disease in maize (Zea mays L.).

BACKGROUND: Gray Leaf Spot (GLS causal agents Cercospora zeae-maydis and Cercospora zeina) is one of the most important foliar diseases of maize in all areas where the crop is being cultivated. Although in the USA the situation with GLS severity is not as critical as in sub-Saharan Africa or Brazil, the evidence of climate change, increasing corn monoculture as well as the narrow genetic base of North American resistant germplasm can turn the disease into a serious threat to US corn production. The development of GLS resistant cultivars is one way to control the disease. In this study we combined the high QTL detection power of genetic linkage mapping with the high resolution power of genome-wide association study (GWAS) to precisely dissect QTL controlling GLS resistance and identify closely linked molecular markers for robust marker-assisted selection and trait introgression. RESULTS: Using genetic linkage analysis with a small bi-parental mapping population, we identified four GLS resistance QTL on chromosomes 1, 6, 7, and 8, which were validated by GWAS. GWAS enabled us to dramatically increase the resolution within the confidence intervals of the above-mentioned QTL. Particularly, GWAS revealed that QTLGLSchr8, detected by genetic linkage mapping as a locus with major effect, was likely represented by two QTL with smaller effects. Conducted in parallel, GWAS of days-to-silking demonstrated the co-localization of flowering time QTL with GLS resistance QTL on chromosome 7 indicating that either QTLGLSchr7 is a flowering time QTL or it is a GLS resistance QTL that co-segregates with the latter. As a result, this genetic linkage - GWAS hybrid mapping system enabled us to identify one novel GLS resistance QTL (QTLGLSchr8a) and confirm with more refined positions four more previously mapped QTL (QTLGLSchr1, QTLGLSchr6, QTLGLSchr7, and QTLGLSchr8b). Through the novel Single Donor vs. Elite Panel method we were able to identify within QTL confidence intervals SNP markers that would be suitable for marker-assisted selection of gray leaf spot resistant genotypes containing the above-mentioned GLS resistance QTL. CONCLUSION: The application of a genetic linkage - GWAS hybrid mapping system enabled us to dramatically increase the resolution within the confidence interval of GLS resistance QTL by-passing labor- and time-intensive fine mapping. This method appears to have a great potential to accelerate the pace of QTL mapping projects. It is universal and can be used in the QTL mapping projects in any crops.

Cardiovascular toxicities following the use of tyrosine kinase inhibitors in hepatocellular cancer patients: a retrospective, pharmacovigilance study.

BACKGROUND: Cardiac adverse events (AEs) are common in tyrosine kinase inhibitors(TKIs). This study explored the cardiac AEs of TKIs through the Food and Drug Administration's Adverse Event Reporting System (FAERS). METHODS: Disproportionality analysis and Bayesian analysis were utilized for data mining of the suspected cardiac AEs of TKIs, based on FAERS data from January 2004 to December 2021. RESULTS: A total of 4708 cardiac AEs reports of sorafenib, regorafenib, lenvatinib, and cabozantinib were identified. Hypertension accounts for the most reported cardiac AE. Lenvatinib appears to induce cardiac failure with the highest signals strength [ROR = 7.7 (3.46,17.17)]. Acute myocardial infarction was detected in lenvatinib [ROR = 7.91 (5.64,11.09)] and sorafenib [ROR = 2.22 (1.74, 2.84)]. Acute coronary syndrome was detected in lenvatinib [ROR = 11.57 (6.84, 19.58)] and sorafenib [ROR = 2.81 (1.87,4.24)]. Atrial fibrillation was detected in sorafenib [ROR = 1.82 (1.55,2.14)] and regorafenib [ROR = 1.36 (1.03,1.81)]. Meanwhile, aortic dissections were detected in sorafenib [ROR = 5.08 (3.31,7.8)] and regorafenib [ROR = 3.39 (1.52,7.56)]. Most patients developed hypertension and cardiac failure within 30 days of initiating TKI treatments. Patients taking lenvatinib had an increased incidence of developing acute coronary syndrome after 180 days of treatment. CONCLUSION: Analysis of FAERS data provides a precise profile on the characteristics of cardiac AEs associated with different TKI regimens. Distinct monitoring and appropriate management are needed in the care of TKI recipients.

Functional characterization of two alternatively spliced transcripts of tomato ABSCISIC ACID INSENSITIVE3 (ABI3) gene.

Alternative splicing can produce transcripts that encode proteins with altered functions. The transcripts of the ABSCISIC ACID INSENSITIVE3 (ABI3)/VIVIPAROUS1 (VP1) gene, which is an important component in abscisic acid (ABA) signaling, are subjected to alternative splicing in both monocotyledons and dicotyledons. We identified two alternatively spliced tomato (Solanum lycopersicum) SlABI3 transcripts, SlABI3-F and SlABI3-T, which encode the nucleus-localized full-length and truncated proteins, respectively. The tissue-specific accumulation of SlABI3-F and SlABI3-T was determined, particularly in seeds at different developmental stages and in response to phytohormonal and abiotic stress. Ectopic over-expression of SlABI3-F and SlABI3-T resulted in the induction of seed-specific genes SlSOM, SlEM1 and SlEM6 in vegetative tissues. However, over-expression of SlABI3-F, but not SlABI3-T, activated expression of the downstream gene SlABI5 and conferred hypersensitivity to exogenous ABA during seed germination and primary root growth. In addition, the SlABI3-F protein interacted with SlABI5 much stronger than SlABI3-T did in the yeast two-hybrid assay. These results suggest that SlABI3-F and SlABI3-T have similar and distinct functionality in the ABA signaling, dependent on which tissue/organ they accumulate in.

Mesenchymal stem cell-like cells from children foreskin inhibit the growth of SGC-7901 gastric cancer cells.

Mesenchymal stem cells (MSCs) become a research hotspot in recent years because of their roles in regenerative medicine and tissue injury repair. However, the limited source for MSCs hampers its clinical application. In this study, we isolated and identified human mesenchymal stem cell-like cells from foreskin (hFMSCs) by explant culture. HFMSCs had similar morphology and immunophenotype to that of human bone marrow derived-mesenchymal stem cells. HFMSCs formed colonies after 9 days of inoculation and could be propagated for more than 50 passages. HFMSCs had a normal karyotype and high G0/G1 phase independent of passage number. Further, hFMSCs could be induced to differentiate into osteocytes and adipocytes. We found that the growth of SGC-7901 (human gastric adenocarcinoma) cells could be suppressed by simultaneous injection of hFMSCs in vivo. HFMSCs also inhibited SGC-7901 cell proliferation in vitro. HFMSC co-injection resulted in a decrease in PCNA-positive and an increase in apoptotic tumor cells. HFMSCs derived conditioned medium inhibited the expression of BCL-2 while increased the expression of BAX and caspase-3 in SGC-7901 cells. Taken together, our findings suggest that children foreskin is a new source for MSCs and hFMSCs could inhibit gastric cancer cell growth both in vitro and in vivo.

Full-length transcriptome combined with RNA sequence analysis of Fraxinus chinensis.

BACKGROUND: The dry root or stem bark of Fraxinus chinensis is a famous herb Qin Pi which is known for its anti-inflammatory, analgesic, anti-tumor, liver protective and diuretic pharmacological effects, the fundamental chemical components are coumarin, phenylethanol glycosides and flavonoids. However, it is difficult to clarify the secondary metabolite synthesis pathway and key genes involved in the pathway because of lack genome information of Fraxinus chinensis. OBJECTIVE: To generate a complete transcriptome of Fraxinus chinensis and to clarify the differentially expressed genes (DEGs) in leaves and stem barks. METHODS: In this study, full-length transcriptome analysis and RNA-Seq were combined to characterize Fraxinus chinensis transcriptome. RESULTS: A total of 69,145 transcripts were acquired and regarded as reference transcriptome, 67,441 transcripts (97.47%) were annotated to NCBI non-redundant protein (Nr), SwissProt, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and eukaryotic orthologous groups (KOG) databases. A total of 18,917 isoforms were annotated to KEGG database and classified to 138 biological pathways. In total, 10,822 simple sequence repeat (SSRs) and 11,319 resistance (R) gene were classified to 18 types, and 3947 transcription factors (TFs) were identified in full-length transcriptome analysis. Additionally, 15,095 DEGs were detected by RNA-seq in leaves and barks, including 4696 significantly up-regulated and 10,399 significantly down-regulated genes. And 254 transcripts were annotated into phenylpropane metabolism pathway containing 86 DEGs and ten of these enzyme genes were verified by qRT-PCR. CONCLUSION: It laid the foundation for further exploration of the biosynthetic pathway of phenylpropanoids and related key enzyme genes.

A novel prognostic model for patients with colon adenocarcinoma.

Background: Colon adenocarcinoma (COAD) is a highly heterogeneous disease, which makes its prognostic prediction challenging. The purpose of this study was to investigate the clinical epidemiological characteristics, prognostic factors, and survival outcomes of patients with COAD in order to establish and validate a predictive clinical model (nomogram) for these patients. Methods: Using the SEER (Surveillance, Epidemiology, and End Results) database, we identified patients diagnosed with COAD between 1983 and 2015. Disease-specific survival (DSS) and overall survival (OS) were assessed using the log-rank test and Kaplan-Meier approach. Univariate and multivariate analyses were performed using Cox regression, which identified the independent prognostic factors for OS and DSS. The nomograms constructed to predict OS were based on these independent prognostic factors. The predictive ability of the nomograms was assessed using receiver operating characteristic (ROC) curves and calibration plots, while accuracy was assessed using decision curve analysis (DCA). Clinical utility was evaluated with a clinical impact curve (CIC). Results: A total of 104,933 patients were identified to have COAD, including 31,479 women and 73,454 men. The follow-up study duration ranged from 22 to 88 months, with an average of 46 months. Multivariate Cox regression analysis revealed that age, gender, race, site_recode_ICD, grade, CS_tumor_size, CS_extension, and metastasis were independent prognostic factors. Nomograms were constructed to predict the probability of 1-, 3-, and 5-year OS and DSS. The concordance index (C-index) and calibration plots showed that the established nomograms had robust predictive ability. The clinical decision chart (from the DCA) and the clinical impact chart (from the CIC) showed good predictive accuracy and clinical utility. Conclusion: In this study, a nomogram model for predicting the individualized survival probability of patients with COAD was constructed and validated. The nomograms of patients with COAD were accurate for predicting the 1-, 3-, and 5-year DSS. This study has great significance for clinical treatments. It also provides guidance for further prospective follow-up studies.

CYP2C9 promoter variable number tandem repeat polymorphism regulates mRNA expression in human livers.

CYP2C9 is involved in metabolism of nearly 25% of clinically used drugs. Coding region polymorphisms CYP2C9*2 and *3 contribute to interperson variability in drug dosage and clinical outcomes, whereas the role of a regulatory polymorphism remains uncertain. Measuring allelic RNA expression in 87 human liver samples, combined with genotyping, sequencing, and reporter gene assays, we identified a promoter variable number tandem repeat polymorphism (pVNTR) that fully accounted for allelic CYP2C9 mRNA expression differences. Present in three different variant forms [short (pVNTR-S), medium (pVNTR-M), and long (pVNTR-L)], only the pVNTR-S allele reduced the CYP2C9 mRNA level compared with the pVNTR-M (reference) allele. pVNTR-S is in linkage disequilibrium with *3, with linkage disequilibrium r(2) of 0.53 to 0.75 in different populations. In patients who were taking a maintenance dose of warfarin, the mean warfarin dose was associated with the copies of pVNTR-S (p = 0.0001). However, in multivariate regression models that included the CYP2C9*3, pVNTR-S was no longer a significant predictor of the warfarin dose (p = 0.60). These results indicate that although pVNTR-S reduced CYP2C9 mRNA expression, the in vivo effects of pVNTR-S on warfarin metabolism cannot be separated from the effects of *3. Therefore, it is not necessary to consider pVNTR-S as an additional biomarker for warfarin dosing. Larger clinical studies are needed to define whether the pVNTR-S has a minimal effect in vivo, or whether the effect attributed to *3 is really a combination of effects on expression by the pVNTR-S along with effects on catalytic activity from the nonsynonymous *3 variant.