Fabrication and evaluation of porous coatings doped with bioactive elements on titanium surfaces.

OBJECTIVE: Although pure titanium (PT) and its alloys exhibit excellent mechanical properties, they lack biological activity as implants. The purpose of this study was to improve the biological activity of titanium implants through surface modification. MATERIALS AND METHODS: Titanium was processed into titanium discs, where the titanium discs served as anodes and stainless steel served as cathodes, and a copper- and cobalt-doped porous coating [pure titanium model (PTM)] was prepared on the surface of titanium via plasma electrolytic oxidation. The surface characteristics of the coating were evaluated using field emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), atomic force microscopy (AFM), and profilometry. The corrosion resistance of PTM was evaluated with an electrochemical workstation. The biocompatibility and bioactivity of coated bone marrow mesenchymal stem cells (BMSCs) were evaluated through in vitro cell experiments. RESULTS: A copper- and cobalt-doped porous coating was successfully prepared on the surface of titanium, and the doping of copper and cobalt did not change the surface topography of the coating. The porous coating increased the surface roughness of titanium and improved its resistance to corrosion. In addition, the porous coating doped with copper and cobalt promoted the adhesion and spreading of BMSCs. CONCLUSIONS: A porous coating doped with copper and cobalt was prepared on the surface of titanium through plasma electrolytic oxidation. The coating not only improved the roughness and corrosion resistance of titanium but also exhibited good biological activity.

Recombinant erythropoietin protective and related effects on brain injury in premature infants.

OBJECTIVE: The aim of this study was to investigate the protective effect of recombinant erythropoietin at different doses on brain injury in premature infants and the related effects on blood routine, liver function, intellectual development, mental development index (MDI), psychomotor development index (PDI), etc. PATIENTS AND METHODS: A total of 120 premature infants were divided into four groups, including experimental group A (n=30), experimental group B (n=30), experimental group C (n=30) and control group (n=30). The experimental group was treated with different doses of recombinant erythropoietin for brain injury protection of premature infants, while the control group with conventional methods. RESULTS: There was no statistical significance in all test indicators of the four groups of patients before the intervention. After the intervention experiment, the S-100B index was p<0.05, and the erythropoietin (EPO) index was p<0.05. In the comparison of IL-6 indicators, the indicators of the experimental group were reduced after the comparison experiment, and there were significant differences, p<0.05. In neonatal behavior evaluation, there was a statistical difference between groups A and B and the control group (p<0.05), and no statistical significance was shown between group C and the control group (p>0.05). In the intelligence test comparison, the F value of the experimental group was 3.113 three months after treatment. After six months, the F value was 3.654. After nine months, the F value was 3.392 with p<0.05. In the comparison of blood routine indicators, the p-values of four indicators between groups were more than 0.05. In the comparison of liver function indexes, the indexes of groups A, B, and C were significantly changed before and after treatment, and the data after treatment were significantly different from those before treatment, p<0.05. In the comparison of development, there were no significant differences observed in the p-values of the two indicators of vigorous exercise and language in the experimental group. CONCLUSIONS: Recombinant erythropoietin has a protective effect on infants with brain injury and can improve the intellectual development of premature infants, but has no significant effect on blood routine indicators. It can effectively improve the MDI, PDI, and related cytokines of premature infants, and has certain significance for the treatment of brain injury.

Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: A strategy to improve the reliability of breeding values and predictive models.

The use of milk Fourier transform mid-infrared (FT-MIR) spectrometry to develop management and breeding tools for dairy farmers and industry is growing and supported by the availability of numerous new predicted phenotypes to assess the nutritional quality of milk and its technological properties, but also the animal health and welfare status and its environmental fingerprint. For genetic evaluations, having a long-term and representative spectral dairy herd improvement (DHI) database improves the reliabilities of estimated breeding values (EBV) from these phenotypes. Unfortunately, most of the time, the raw spectral data used to generate these estimations are not stored. Moreover, many reference measurements of those phenotypes, needed during the FT-MIR calibration step, are available from past research activities but lack spectra records. So, it is impossible to use them to improve the FT-MIR models. Consequently, there is a strong interest in imputing those missing spectra. The innovative objective of this study was to use the existing large spectral DHI database to estimate missing spectra by selecting probable spectra using, as the match criteria, common dairy traits recorded for a long time by DHI organizations. We tested 4 match criteria combinations. Combination 1 required to have equal fat and protein contents between the sample for which a spectrum was to be estimated and the reference samples in the DHI database. Combination 2 also required an equal urea content. Combination 3 requested equal fat, protein, and lactose contents. Finally, combination 4 included all criteria. When more than one spectrum was found during the search, their average was the estimated spectrum for the query sample. Concretely, this study estimated missing spectra for 1,700 samples using 2,000,000 spectral DHI records. For assessing the effect of this spectral estimation on the prediction quality, FT-MIR equations were used to predict 11 phenotypes, selected as their quantification used different FT-MIR regions. They were related to the milk fat and mineral composition, lactoferrin content, quantity of eructed methane, body weight (BW), and dry matter intake. The accuracy between predictions obtained from actual and estimated spectra was evaluated by calculating the mean absolute error (MAE). The criteria in the fourth and second combinations were too strict to estimate a spectrum for most samples. Indeed, for many samples, no spectra with the same values for those matching criteria was found. The third match criteria combination had a poorer prediction performance for all studied traits and spectral absorptions than the first combination due to fewer matched samples available to compute the missing spectrum. By allowing a range for matching lactose content (±0.1 g/dL milk), we showed that this new combination increased the number of selected samples to compute missing spectra and predict better the infrared absorption at different wavenumbers, especially those related to the lactose quantification. The prediction performance was further improved by performing queries on the entire Walloon DHI spectral database (6,625,570 spectra), and it varied among the studied phenotypes. Without considering the traits used for the matching, the best predictions were obtained for the content of saturated fatty acids (MAE = 0.15 g/dL milk) and BW (MAE = 12.80 kg). Yet, the predictions for the unsaturated fatty acids were less accurate (MAE = 0.13 and 0.018 g/dL milk for monounsaturated and polyunsaturated fatty acids), likely because of the poorer predictions of spectral regions related to long-chain fatty acids. Similarly, poorer predictions were observed for the amount of methane eructed by dairy cows (MAE = 47.02 g/d), likely because it is not directly related to fat content or composition. Prediction accuracies for the remaining traits were also low. In conclusion, we observed that increasing the number of relevant matching criteria helps improve the quality of FT-MIR predicted phenotypes and the number of spectra used during the search. So, it would be of great interest to test in the future the suitability of the developed methodology with large-scale international spectral databases to improve the reliability of EBV from these FT-MIR-based phenotypes and the robustness of FT-MIR predictive models.

Ultrasound-guided radial artery catheterization at different sites: a prospective and randomized study.

OBJECTIVE: Herein, we aimed to compare ultrasound (US)-guided radial artery catheterization at the wrist joint and mid-forearm level to evaluate the success rate of US-guided radial artery catheterization at the mid-forearm level. PATIENTS AND METHODS: This prospective randomized controlled study included 240 consecutive patients who were admitted to the intensive care unit of Taizhou Hospital of Integrated Traditional Chinese and Western Medicine and underwent radial artery catheterization between January 1, 2019, and October 1, 2021. All patients were randomly allocated to the mid-forearm and wrist groups, with 120 patients in each group. Patients in the mid-forearm and wrist groups underwent out-of-plane US-guided radial artery catheterization at wrist and mid-forearm levels, respectively. The overall success rate, first-attempt success rate, and related complications were recorded and compared between the two groups. RESULTS: The first-attempt success rate and overall success rate of radial artery catheterization were significantly higher in the mid-forearm group than in the wrist group (75.0% vs. 60.0%, p=0.013; 90.8% vs. 80.8, p =0.026, respectively). The incidence of hematoma was significantly lower in the mid-forearm group than in the wrist group (9.2% vs. 28.3%, p <0.001). CONCLUSIONS: US-guided radial artery catheterization at the mid-forearm level increased the first-attempt success rate and overall success rate, decreased the incidence of hematoma during puncture, and improved nurse satisfaction. This puncture site may afford a new choice to replace the traditional wrist site.

Effect of music intervention during hemodialysis: a comprehensive meta-analysis.

Aggravating disease and the accompanying increase in the frequency of hemodialysis interventions worsen the quality of life of patients leading to poor physical and psychological outcomes. Music-based interventions have been suggested to improve both the physical and psychological prognoses for patients undergoing hemodialysis. Two meta-analyses on the impact of music-based interventions on anxiety in patients undergoing hemodialysis failed to evaluate the impact of these interventions on other physiological outcomes. Therefore, in this study, we gather evidence on the effects of music-based interventions on physical and psychological outcomes in patients with chronic kidney disease undergoing hemodialysis. To determine the influence of music-based interventions on anxiety, pain, heart rate, and blood pressure (systolic, diastolic) in patients with chronic kidney disease undergoing hemodialysis, we performed a systematic literature search adhering to PRISMA guidelines on the EMBASE, CENTRAL, Scopus, and MEDLINE academic databases. We performed meta-analyses to consolidate the evidence on the influence of music-based interventions on the physical and psychological outcomes of patients with chronic kidney disease undergoing hemodialysis. From 1,402 studies, we found eight eligible studies with 597 (264 women, 287 men) patients with chronic kidney disease undergoing hemodialysis (mean age, 56.9 ± 10.8 years). Among these patients, 298 received the music-based intervention and 299 were included as controls. Our meta-analysis revealed a small-to-medium effect of the music-based intervention to reduce pain levels (Hedge's g, -0.75), anxiety (-0.16), heart rate (-0.15), and systolic (-0.14) and diastolic blood pressure (-0.11) in patients with chronic kidney disease receiving hemodialysis as compared to the values of the same variables in the control group. The evidence from our analyses supports the beneficial impact of music-based interventions to alleviate anxiety and pain, and to reduce heart rate and blood pressure in these patients.

Genome-wide association study of milk production traits in a crossbred dairy sheep population using three statistical models.

Milk production is one of the most important characteristics of dairy sheep, and the identification of genes affecting milk production traits is critical to understanding the genetics and improve milk production in future generations. Three statistical techniques, namely GWAS, ridge-regression BLUP and BayesC π , were used to identify SNPs in significant association with three milk production traits (milk yield, fat yield and protein yield) in a crossbred dairy sheep population. The results suggested that chromosomes 1, 3, 4, 5, 7 and 11 were likely to harbor genes important to milk production because these chromosomes had the greatest top-100-SNP variance contributions on the three milk production traits. The GWAS analysis identified between 74 and 288 genome-wide significant SNP (P < 0.05) whereas the BayesCπ model revealed between six and 63 SNPs, each with >95% posterior probability of inclusion as having a non-zero association effect on at least one of the three milk production traits. Positional candidate genes for milk production in sheep were searched, based on the sheep genomic assembly OAR version 3.1, such as those which map position coincided with or was located within 0.1 Mbp of a genome-wide suggestive or significant SNP. These identified SNPs and candidate genes supported some previous findings and also added new information about genetic markers for genetic improvement of lactation in dairy sheep, but keeping in mind that the majority of these positional candidate genes are not necessarily true causative loci for these traits and future validations are thus necessary.

Estimation of genomic breed composition of individual animals in composite beef cattle.

Three statistical models (an admixture model, linear regression, and ridge-regression BLUP) and two strategies for selecting SNP panels (uniformly spaced vs. maximum Euclidean distance of SNP allele frequencies between ancestral breeds) were compared for estimating genomic-estimated breed composition (GBC) in Brangus and Santa Gertrudis cattle, respectively. Animals were genotyped with a GeneSeek Genomic Profiler bovine low-density version 4 SNP chip. The estimated GBC was consistent among the uniformly spaced SNP panels, and values were similar between the three models. However, estimated GBC varied considerably between the three methods when using fewer than 10 000 SNPs that maximized the Euclidean distance of allele frequencies between the ancestral breeds. The admixture model performed most consistently across various SNP panel sizes. For the other two models, stabilized estimates were obtained with an SNP panel size of 20 000 SNPs or more. Based on the uniformly spaced 20K SNP panel, the estimated GBC was 69.8-70.5% Angus and 29.5-30.2% Brahman for Brangus, and 63.9-65.3% Shorthorn and 34.7-36.1% Brahman in Santa Gertrudis. The estimated GBC of ancestries for Santa Gertrudis roughly agreed with the pedigree-expected values. However, the estimated GBC in Brangus showed a considerably larger Angus composition than the pedigree-expected value (62.5%). The elevated Angus composition in the Brangus could be due to the mixture of some 1/2 Ultrablack animals (Brangus × Angus). Another reason could be the consequences of selection in Brangus cattle for phenotypes where the Angus breed has advantages.

A unified local objective function for optimally selecting SNPs on arrays for agricultural genomics applications.

Over the years, ad-hoc procedures were used for designing SNP arrays, but the procedures and strategies varied considerably case by case. Recently, a multiple-objective, local optimization (MOLO) algorithm was proposed to select SNPs for SNP arrays, which maximizes the adjusted SNP information (E score) under multiple constraints, e.g. on MAF, uniformness of SNP locations (U score), the inclusion of obligatory SNPs and the number and size of gaps. In the MOLO, each chromosome is split into equally spaced segments and local optima are selected as the SNPs having the highest adjusted E score within each segment, conditional on the presence of obligatory SNPs. The computation of the adjusted E score, however, is empirical, and it does not scale well between the uniformness of SNP locations and SNP informativeness. In addition, the MOLO objective function does not accommodate the selection of uniformly distributed SNPs. In the present study, we proposed a unified local function for optimally selecting SNPs, as an amendment to the MOLO algorithm. This new local function takes scalable weights between the uniformness and informativeness of SNPs, which allows the selection of SNPs under varied scenarios. The results showed that the weighting between the U and the E scores led to a higher imputation concordance rate than the U score or E score alone. The results from the evaluation of six commercial bovine SNP chips further confirmed this conclusion.

A study of damage control theory in the treatment of multiple trauma mainly represented by emergency abdominal trauma.

OBJECTIVE: This study aimed to explore the measures of damage control theory (DCT) in the treatment of multiple trauma mainly represented by emergency abdominal trauma. PATIENTS AND METHODS: A total of 76 patients with severe multiple trauma in the Yiwu Central Hospital were selected. Among them, 37 patients with severe multiple trauma were treated with DCT (DCT group), and 39 patients were treated with traditional methods (control group). The prothrombin time (PT), the inflammation index, the duration of mechanical ventilation, the length of stay in the Intensive Care Unit (ICU), and the incidence of sepsis were compared between the two groups. RESULTS: A total of 60 cases (78.95%) were cured and discharged, and 4 cases (10.81%) died in the DCT group, while 12 cases (30.77%) died in the control group. There were 6 cases (16.22%) of sepsis in the DCT group and 15 cases (38.46%) of sepsis in the control group. This indicates that the mortality and the incidence of sepsis in the DCT group were lower than those in the control group (p<0.05 in all comparisons). The PT activated partial thromboplastin time (APTT), the length of stay in the ICU, and mechanical ventilation in the DCT group were notably shorter than those in the control group. The levels of serum tumor necrosis factor-alpha (TNF-α), Interleukin-6 (IL-6), C-reactive protein (CRP), and IL-10 went up remarkably in both groups (p<0.05), but the levels of serum TNF-α, IL-6, and CRP in the DCT group were lower than those in the control group, while the IL-10 level in the former was significantly higher than that in the latter (p<0.05). CONCLUSIONS: It is feasible to apply DCT to rescue patients with multiple trauma, which can effectively reduce the mortality and complications, and shorten the length of stay in the ICU.

Evaluation of genotyping concordance for commercial bovine SNP arrays using quality-assurance samples.

SNP arrays are widely used in genetic research and agricultural genomics applications, and the quality of SNP genotyping data is of paramount importance. In the present study, SNP genotyping concordance and discordance were evaluated for commercial bovine SNP arrays based on two types of quality assurance (QA) samples provided by Neogen GeneSeek. The genotyping discordance rates (GDRs) between chips were on average between 0.06% and 0.37% based on the QA type I data and between 0.05% and 0.15% based on the QA type II data. The average genotyping error rate (GER) pertaining to single SNP chips, based on the QA type II data, varied between 0.02% and 0.08% per SNP and between 0.01% and 0.06% per sample. These results indicate that genotyping concordance rate was high (i.e. from 99.63% to 99.99%). Nevertheless, mitochondrial and Y chromosome SNPs had considerably elevated GDRs and GERs compared to the SNPs on the 29 autosomes and X chromosome. The majority of genotyping errors resulted from single allotyping errors, which also included the opposite instances for allele 'dropout' (i.e. from AB to AA or BB). Simultaneous allotyping errors on both alleles (e.g. mistaking AA for BB or vice versa) were relatively rare. Finally, a list of SNPs with a GER greater than 1% is provided. Interpretation of association effects of these SNPs, for example in genome-wide association studies, needs to be taken with caution. The genotyping concordance information needs to be considered in the optimal design of future bovine SNP arrays.

MicroRNA-125a regulates proliferation and apoptosis of acute myeloid leukemia through targeting NF-κB pathway.

OBJECTIVE: To elucidate the influence of microRNA-125a on the biological behaviors of acute myeloid leukemia (AML) cells. MATERIALS AND METHODS: MicroRNA-125a mimic and negative control (NC) were constructed and transfected into AML cell line HL60, respectively. Cell viability of HL60 cells transfected with microRNA-125a mimic or NC was determined by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay. Regulatory effects of microRNA-125a on enzyme activities of B-cell lymphoma-2 (Bcl-2), Bcl-xl, caspase-3, and caspase-9 in HL60 cells were quantified by a spectrophotometry. Changes in apoptosis and invasion of HL60 cells overexpressing microRNA-125a were detected by flow cytometry and transwell assay, respectively. Protein levels of cell cycle genes (cyclin B, cdc-2, mdm-2), pro-apoptotic gene p53 and anti-apoptotic gene Bcl-2 in HL60 cells transfected with microRNA-125a mimic or NC were assessed by Western blot. Finally, the mRNA levels of Bax, caspase-8, nuclear factor-κB (NF-κB), and c-myc in HL60 cells with microRNA-125a overexpression were determined by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). RESULTS: MicroRNA-125a expression remarkably increased by transfection of microRNA-125a mimic into HL60 cells, suggesting its sufficient transfection efficacy. MTT assay revealed an inhibited viability after microRNA-125a overexpression. Transfection of microRNA-125a mimic markedly enhanced enzyme activities of caspase-3 and caspase-9, but reduced activities of Bcl-2 and Bcl-xl in HL60 cells than controls (p<0.05). Moreover, microRNA-125a overexpression elevated apoptotic rate as FCM data indicated. Transwell assay demonstrated a decrease in the invasive rate of HL60 cells overexpressing microRNA-125a. Western blot analyses revealed that cell cycle genes all downregulated by transfection of microRNA-125a mimic in HL60 cells. The protein level of p53 upregulated and Bcl-2 downregulated in HL60 cells overexpressing microRNA-125a (p<0.05). Furthermore, mRNA levels of pro-apoptotic genes Bax and caspase-8 were enhanced after microRNA-125a overexpression, while mRNA levels of NF-κB and c-myc were reduced (p<0.05). CONCLUSIONS: MicroRNA-125a inhibits proliferative and invasive potentials, arrests the cell cycle in the G2/M phase of AML cells by regulating the NF-κB pathway.

HOTTIP participates in mammary cancer by promoting cell proliferation via PI3K/AKT pathway.

OBJECTIVE: To investigate the role of HOTTIP in the development of mammary cancer and its underlying mechanism. PATIENTS AND METHODS: 70 mammary cancer tissues and paracancerous tissues surgically resected from mammary cancer patients were enrolled in this study. HOTTIP expressions in these mammary cancer tissues and paracancerous tissues were detected by qRT-PCR (quantitative real-time polymerase chain reaction). The relationship between HOTTIP expression, prognosis, tumor size, and stage of mammary cancer patients was analyzed. Subsequently, we constructed lentivirus of HOTTIP. Proliferation, apoptosis, cell cycle, and invasion of mammary cancer cells transfected with HOTTIP lentivirus were detected by CCK-8 (cell counting kit-8), colony formation, flow cytometry, and transwell assay, respectively. The effect of overexpressed HOTTIP on PI3K/AKT pathway was detected by Western blot. RESULTS: HOTTIP was overexpressed in mammary cancer tissues than that of paracancerous tissues. HOTTIP expression was negatively correlated with the prognosis of mammary cancer. Overexpressed HOTTIP remarkably promoted cell cycle, and increased expressions of CyclineD1 and PCNA. Meanwhile, overexpressed HOTTIP inhibited cell apoptosis, whereas promoted proliferation and colony formation abilities. Western blot results demonstrated that overexpressed HOTTIP promotes proliferation of mammary cancer cells via PI3K/AKT pathway. CONCLUSIONS: HOTTIP remarkably promotes proliferative and invasive abilities, but inhibits cell apoptosis of mammary cancer cells via PI3K/AKT pathway.

Improving accuracy of genomic prediction in Brangus cattle by adding animals with imputed low-density SNP genotypes.

Reliable genomic prediction of breeding values for quantitative traits requires the availability of sufficient number of animals with genotypes and phenotypes in the training set. As of 31 October 2016, there were 3,797 Brangus animals with genotypes and phenotypes. These Brangus animals were genotyped using different commercial SNP chips. Of them, the largest group consisted of 1,535 animals genotyped by the GGP-LDV4 SNP chip. The remaining 2,262 genotypes were imputed to the SNP content of the GGP-LDV4 chip, so that the number of animals available for training the genomic prediction models was more than doubled. The present study showed that the pooling of animals with both original or imputed 40K SNP genotypes substantially increased genomic prediction accuracies on the ten traits. By supplementing imputed genotypes, the relative gains in genomic prediction accuracies on estimated breeding values (EBV) were from 12.60% to 31.27%, and the relative gain in genomic prediction accuracies on de-regressed EBV was slightly small (i.e. 0.87%-18.75%). The present study also compared the performance of five genomic prediction models and two cross-validation methods. The five genomic models predicted EBV and de-regressed EBV of the ten traits similarly well. Of the two cross-validation methods, leave-one-out cross-validation maximized the number of animals at the stage of training for genomic prediction. Genomic prediction accuracy (GPA) on the ten quantitative traits was validated in 1,106 newly genotyped Brangus animals based on the SNP effects estimated in the previous set of 3,797 Brangus animals, and they were slightly lower than GPA in the original data. The present study was the first to leverage currently available genotype and phenotype resources in order to harness genomic prediction in Brangus beef cattle.

Effects of caloric restriction on peroxisome proliferator-activated receptors and positive transcription elongation factor b expression in obese rats.

OBJECTIVE: To investigate the effect of caloric restriction (CR) on expressions of peroxisome proliferators-activated receptors (PPARs) and positive transcription elongation factor b (P-TEFb) (including cyclin-dependent kinase 9 (CDK9) and cyclin T1) protein in visceral adipose tissue of obese rats. MATERIALS AND METHODS: Obese rats were induced by high-fat diet for 8 weeks. Then they were divided into three groups: Model (n=5), 50% Calorie Restricted (50% CR, n=5), Intermittent Fasting (IF) (eight cycles of 3-d fasting and 3-d refeeding, n=6) for 8 weeks. Biochemical parameters were measured. Protein and mRNA expression of Cdk9, cyclin T1 and PPARs were qualified in visceral adipose tissue. RESULTS: A significant decline in fasting plasma glucose (FPG), homeostatic model assessment of insulin resistance (HOMA-IR), body weight, and visceral fat weight was observed in 50% CR group. The IF group exhibited a significant decrease in FPG, HOMA-IR, visceral fat weight. Both 50% CR and IF down-regulated mRNA and protein expression of PPARγ and Cdk9, cyclin T1 and up-regulated mRNA and protein expression of PPARß. CONCLUSIONS: These results suggest that the effects of 50% CR and IF on HOMA-IR, body weight, visceral fat weight, P-TEFb and PPARγ expression may be related to their protective potential on obesity.

Nanoporous Microsphere Assembly of Iodine-Functionalised Silver Nanoparticles as a Novel Mini-Substrate for Enriching and Sensing.

Herein, debris particulates of nanoporous silver (np-Ag) were synthesised by a dealloying method, and their integration behaviour and surface-enhanced Raman scattering (SERS) properties during iodine functionalisation were examined. It was found that the dealloyed np-Ag debris particulates gradually assembled to form rigid nanoporous microspheres comprising Ag nano-ligaments due to mechanical collisions during iodine treatment. High-resolution transmission electron microscopy and X-ray photoelectron microscopy clearly showed the iodide surface of np-Ag, which was dotted with iodine or iodide 'nanoislands'. The exceptional, and unexpected, integration and surface structures result in a highly enhanced localised surface plasmon resonance. Furthermore, the robust nanoporous microspheres can be employed individually as as-produced miniaturised electrodes to electrically enrich target molecules at parts-per-trillion levels, so as to achieve charge selectivity and superior detectability compared with the ordinary SERS effect.

A novel frameshift mutation of Chediak-Higashi syndrome and treatment in the accelerated phase

Chediak-Higashi syndrome (CHS) is a rare autosomal recessive immunodeficiency disease characterized by frequent infections, hypopigmentation, progressive neurologic deterioration and hemophagocytic lymphohistiocytosis (HLH), known as the accelerated phase. There is little experience in the accelerated phase of CHS treatment worldwide. Here, we present a case of a 9-month-old boy with continuous high fever, hypopigmentation of the skin, enlarged lymph nodes, hepatosplenomegaly and lung infection. He was diagnosed with CHS by gene sequencing, and had entered the accelerated phase. After 8 weeks of therapy, the boy had remission and was prepared for allogenic stem cell transplantation.

Mesenchymal stem cell-based FGF2 gene therapy for acute lung injury induced by lipopolysaccharide in mice.

OBJECTIVE: Bone marrow-derived mesenchymal stem cells (MSCs) can serve as a vehicle for gene therapy. FGF2 (basic fibroblast growth factor) is a multifunctional growth factor and exhibits diverse function in different cell types, it also has pleiotropic effects in different tissues and organs, including potent angiogenic effects and an important role in the differentiation and function of the central nervous system. We hypothesized that MSC-based FGF2 gene therapy might be a potential therapeutic approach for lipopolysaccharide (LPS)-induced lung injury. MATERIALS AND METHODS: MSCs were isolated from 6 week-old inbred male mice and transduced with the FGF2 gene, using a lentivirus vector. RESULTS: In the in vivo mouse model, the LPS-induced lung injury was markedly alleviated in the group treated with MSCs carrying FGF2 (MSCs-FGF2), compared with groups treated with MSCs alone. The histopathological index of LPS-induced lung injury was improved after MSCs-based FGF2 gene treatment. The MSCs-FGF2 administration also reduced the level of inflammatory cytokines. CONCLUSIONS: These results suggest that MSCs and FGF2 have a synergistic role in the treatment of LPS-induced lung injury.

Clinical therapeutic effects of human umbilical cord-derived mesenchymal stem cells transplantation in the treatment of end-stage liver disease.

We aimed to evaluate clinical therapeutic effects of human umbilical cord-derived mesenchymal stem cell (UCMSC) transplantation in the treatment of end-stage liver diseases. The human UCMSCs were cultured and prepared, and then transplanted into the hepatic tissues of 50 patients with decompensated cirrhosis. The liver function, thrombin function, Model for End-Stage Liver Disease (MELD) score, and hemodynamic index value were detected during a 24-week follow-up period, with the addition of hepatoprotective, antiviral, and other conventional treatments. No complications or serious side effects were observed. In the first 2-3 weeks after surgery, symptoms including abdominal distension, oliguria, edema, and others decreased significantly, with increased appetite compared with before surgery. In the 24-week follow-up period, the levels of serum albumin and prealbumin increased significantly compared with the preoperative levels; the decrease of coagulation indicators was not significant. The MELD scores were also markedly increased. Alpha-fetoprotein levels increased without significance after treatment. There was no significant difference in the hemodynamic changes in the portal and splenic veins according to ultrasound. Moreover, no significant differences in the liver and thrombin functions between the hepatitis B virus group and the other-etiology group were observed.

Accuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traits.

Genomically estimated breeding values (GEBV) for Angus beef cattle are available from at least 2 commercial suppliers (Igenity [http://www.igenity.com] and Zoetis [http://www.zoetis.com]). The utility of these GEBV for improving genetic evaluation depends on their accuracies, which can be estimated by the genetic correlation with phenotypic target traits. Genomically estimated breeding values of 1,032 Angus bulls calculated from prediction equations (PE) derived by 2 different procedures in the U.S. Angus population were supplied by Igenity. Both procedures were based on Illuminia BovineSNP50 BeadChip genotypes. In procedure sg, GEBV were calculated from PE that used subsets of only 392 SNP, where these subsets were individually selected for each trait by BayesCπ. In procedure rg GEBV were calculated from PE derived in a ridge regression approach using all available SNP. Because the total set of 1,032 bulls with GEBV contained 732 individuals used in the Igenity training population, GEBV subsets were formed characterized by a decreasing average relationship between individuals in the subsets and individuals in the training population. Accuracies of GEBV were estimated as genetic correlations between GEBV and their phenotypic target traits modeling GEBV as trait observations in a bivariate REML approach, in which phenotypic observations were those recorded in the commercial Australian Angus seed stock sector. Using results from the GEBV subset excluding all training individuals as a reference, estimated accuracies were generally in agreement with those already published, with both types of GEBV (sg and rg) yielding similar results. Accuracies for growth traits ranged from 0.29 to 0.45, for reproductive traits from 0.11 to 0.53, and for carcass traits from 0.3 to 0.75. Accuracies generally decreased with an increasing genetic distance between the training and the validation population. However, for some carcass traits characterized by a low number of phenotypic records (weight, intramuscular fat, and eye muscle area), accuracies were observed to increase but had large SE. Therefore, Igenity GEBV can be useful to Australian Angus breeders, either for blending EBV or as the sole basis for selection decisions if no other information is available. However, for carcass traits, additional phenotypic data are required.

Reliability of molecular breeding values for Warner-Bratzler shear force and carcass traits of beef cattle - an independent validation study.

Interest in genetic improvement of carcass and tenderness traits of beef cattle using genome-based selection (GS) and marker-assisted management programs is increasing. The success of such a program depends on the presence of linkage disequilibrium between the observed markers and the underlying QTL as well as on the relationship between the discovery, validation, and target populations. For molecular breeding values (MBV) predicted for a target population using SNP markers, reliabilities of these MBV can be obtained from validation analyses conducted in an independent population distinct from the discovery set. The objective of this study was to test MBV predicted for carcass and tenderness traits of beef cattle in a Canadian-based validation population that is largely independent of a United States-based discovery set. The discovery data set comprised of genotypes and phenotypes from >2,900 multibreed beef cattle while the validation population consisted of 802 crossbred feeder heifers and steers. A bivariate animal model that fitted actual phenotype and MBV was used for validation analyses. The reliability of MBV was defined as square of the genetic correlation (R(2) g) that represents the proportion of the additive genetic variance explained by the SNP markers. Several scenarios involving different starting marker panels (384, 3K, 7K, and 50K) and different sets of SNP selected to compute MBV (50, 100, 200, 375, 400, 600, and 800) were investigated. Validation results showed that the most reliable MBV (R(2) g) were 0.34 for HCW, 0.36 for back fat thickness, 0.28 for rib eye area, 0.30 for marbling score, 0.25 for yield grade, and 0.38 for Warner-Bratzler shear force across the different scenarios explored. The results indicate that smaller SNP panels can be developed for use in genetic improvement of beef carcass and tenderness traits to exploit GS benefits.