Effects of dietary rosemary ultrafine powder supplementation on aged hen health and productivity: a randomized controlled trial.

Recently, poultry industry has been seeking antibiotic residue-free poultry products and safe nutritious feed additives. Whether rosemary ultrafine powder (RUP) affects productive performance by regulating the intestinal microbiome of aged layers remains unclear. Here, we investigated the effects of dietary RUP supplementation on the production performance, egg quality, antioxidant capacity, intestinal microbial structure, and metabolome of aged hens. The results indicate that RUP had no significant effect on production performance but significantly enhanced Thick albumen height, Haugh unit, yolk color (P < 0.05), daily feed intake, and qualified egg rate. Serum content of non-esterified fatty acids, catalase, and glutathione peroxidase increased significantly (P < 0.05). Furthermore, the liver total protein content was significantly increased (P < 0.05). 16S rRNA sequence analysis revealed that RUP significantly impacted both α- and ß-diversity of the caecum microbiota. Linear discriminant analysis of effect size and random forest identified Bacteroides, Muribaculum, Butyricimonas, Odoribacter, and Prevotella as biomarkers in groups A and B. In comparing groups A and C, Barnesiella, Turicibacter, and Acholeplasma were critical bacteria, while comparing groups A and D highlighted Barnesiella and Candidatus Saccharimonas as differential bacteria. FAPROTAX analysis of the caecum microbiota revealed that the functional genes associated with harmful substance biodegradation were significantly increased in the RUP-fed group. Based on Spearman correlation analysis, alterations in microbial genera were associated with divergent metabolites. In summary, dietary RUP can improve egg quality and antioxidant capacity and regulate the intestinal microbiome and metabolome in aged breeders. Therefore, RUP can potentially be used as a feed additive to extend breeder service life at an appropriate level of 1.0 g/kg.

Polycyclic aromatic hydrocarbons emissions from biomass-fueled boilers in China.

Biomass serves as a sustainable energy source; however, the environmental risks associated with polycyclic aromatic hydrocarbons (PAHs) emitted from industrial biomass-fueled boilers are not well understood. This study analyzed 16 priority PAHs in both particulate and gaseous phases from 13 representative real-world industrial biomass-fueled boilers. Flue gas samples were collected from the stacks and analyzed using advanced techniques. Total PAHs concentrations ranged from 1.36 to 8870 µg m-3 (9 % O2 v/v), with benzo[a]pyrene emissions from certain boilers exceeding the allowable emissions standards for the coking chemical and petroleum refining industries in China. PAHs were predominantly found in the gaseous phase, with both gas and particle phases exhibiting similar toxicity. The average emission factor (EFmass) was 9.23 mg kg-1, while the toxicity-equivalent emission factors (EFCEQ, EFMEQ, and EFTEQ) were 1.96 × 10-2, 1.39 × 10-2 and 7.61 × 10-4 mg kg-1, respectively. It is estimated that annual PAH emissions from 2020 to 2050 will significantly decrease if biomass is used as industrial fuel in boilers (0.61 to 1.32 Gg y-1) instead of being openly burned in the field (3.39 to 7.21 Gg y-1). Overall, this study provides a comprehensive evaluation of PAH emissions from industrial biomass combustion, offering valuable data for future research and policy-making.

Effects of chlorogenic acid on productive and reproductive performances, egg quality, antioxidant functions, and intestinal microenvironment in aged breeder laying hens.

This study investigated the effects of dietary chlorogenic acid (CGA) on the productive and reproductive performance, egg quality, antioxidant function, and intestinal microenvironment of laying hens. Thus, 162 healthy Hy-Line Brown breeding hens (63 weeks old) were randomly allocated to 3 groups, each receiving a basal diet plus supplementation: 0, 250, and 500 mg/kg CGA, respectively. Per the in vitro test, CGA had obvious inhibitory effects on Salmonella enteritis and avian pathogenic Escherichia coli and strong free radical scavenging ability. Per the breeder laying hen experiment, the CGA diets had no significant influence on egg production or reproductive performance (P < 0.05). Nevertheless, compared with the control diet, 250 mg/kg CGA significantly increased eggshell thickness, egg weight, yolk color, and Haugh unit (P < 0.05). Compared with the control diet and 500 mg/kg CGA, 250 mg/kg CGA significantly (P < 0.05) elevated antioxidant capacity by reducing serum malondialdehyde content, upregulating heme oxygenase-1, and downregulating heat shock proteins mRNA levels in the ileum. Compared with the control diet and 500 mg/kg CGA, 250 mg/kg CGA (P < 0.05) enhanced intestinal barrier function, shown by the upregulation of ileal Occludin and Mucin-2 mRNA levels; furthermore, 250 mg/kg CGA (P < 0.05) increased anti-apoptotic capacity by increasing B-cell leukemia/lymphoma 2 gene expression and downregulated Bcl2 Associated X mRNA levels in the liver and ileum of late breeder laying hens (P < 0.05). Lastly, 250 mg/kg CGA (P < 0.05) increased cecal g_CHKCI001 and short-chain fatty acid-producing bacteria g_Prevotellaceae UCG-001, positively related to gut health, and in the cecum, 500 mg/kg CGA significantly (P < 0.05) increased g_Shuttleworthia abundance, negatively related to gut health. Our findings suggest that dietary inclusion of 250 mg/kg CGA promotes egg quality, intestinal microbial composition, gut barrier integrity, and the antioxidant capacity of aged breeder laying hens.

Clinical effects of Xinmailong therapy in patients with chronic heart failure.

In the last 100 years, intensive studies have been done on the identification of the systematic approaches to find the cure for the chronic heart failure, however the mystery remains unresolved due to its complicated pathogenesis and ineffective early diagnosis. The present investigation was aimed to evaluate the potential effects of the traditional chinese medicine, Xinmailong, on the chronic heart failure (CHF) patients as compared to the standard western medical treatment available so far. In our study, we selected two groups of voluntary CHF patients at the Xiangya Hospital, which were allowed to administrate Xinmailong or standard treatments, respectively. Another group of voluntary healthy individuals were recruited as the control group. The treatment effectiveness was measured by five symptomatic factors, i.e. angiotensin II (Ang_II), high sensitivity C-reactive protein (hs_CRP), Left Ventricular End Systolic Volume Index (LVESVI), left ventricular ejection fraction (LVEF) and pro-B-type natriuretic peptide (NT_proBNP), between the control group and the CHF patients at different stages of drug administration and in different treatment groups. The timeline for the full dose administration was set to 15 days and five measurements as indicated above were taken on every 0, 7th and 15th day of the drug administration respectively. In the conducted study, similar symptomatic measurements were observed on day 0 in both treatment groups, and slight improvements were observed on 7th day. It was observed that after a full course of drug administration for 15 days, both of the treatment groups achieved statistically significant improvements in all the five measures, but Xinmailong was found to be more (almost double) statistically significant as compared with the available drug treatments for chronic heart failure.

Modeling the epidemiological history of plague in Central Asia: palaeoclimatic forcing on a disease system over the past millennium.

BACKGROUND: Human cases of plague (Yersinia pestis) infection originate, ultimately, in the bacterium's wildlife host populations. The epidemiological dynamics of the wildlife reservoir therefore determine the abundance, distribution and evolution of the pathogen, which in turn shape the frequency, distribution and virulence of human cases. Earlier studies have shown clear evidence of climatic forcing on contemporary plague abundance in rodents and humans. RESULTS: We find that high-resolution palaeoclimatic indices correlate with plague prevalence and population density in a major plague host species, the great gerbil (Rhombomys opimus), over 1949-1995. Climate-driven models trained on these data predict independent data on human plague cases in early 20th-century Kazakhstan from 1904-1948, suggesting a consistent impact of climate on large-scale wildlife reservoir dynamics influencing human epidemics. Extending the models further back in time, we also find correspondence between their predictions and qualitative records of plague epidemics over the past 1500 years. CONCLUSIONS: Central Asian climate fluctuations appear to have had significant influences on regional human plague frequency in the first part of the 20th century, and probably over the past 1500 years. This first attempt at ecoepidemiological reconstruction of historical disease activity may shed some light on how long-term plague epidemiology interacts with human activity. As plague activity in Central Asia seems to have followed climate fluctuations over the past centuries, we may expect global warming to have an impact upon future plague epidemiology, probably sustaining or increasing plague activity in the region, at least in the rodent reservoirs, in the coming decades.See commentary: http://www.biomedcentral.com/1741-7007/8/108.

Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome.

After more than three decades of intensive investigations, the underpinning mechanism of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) pathogenesis still remains largely uncharacterized, and their diagnosis relies heavily on the subjective factors. Recently gene expression profiling technique showed significant improvement in classifying some subtypes of AML, but the model's discriminating power of MDS from AML is still in its infancy. Feature selection plays an important role in the classification of the samples on the basis of the gene expression profiles. Our hypothesis explains that a better choice of features could improve the classification of the diseased and normal stage samples, and the potential application of feature screening to produce feature sets, with better accuracies and lowest number of embedded features. The observed results suggest that feature selection proves to be an essential and affirmative step in the biomedical data mining models based on gene expression profiles.

Normalizing electrocardiograms of both healthy persons and cardiovascular disease patients for biometric authentication.

Although electrocardiogram (ECG) fluctuates over time and physical activity, some of its intrinsic measurements serve well as biometric features. Considering its constant availability and difficulty in being faked, the ECG signal is becoming a promising factor for biometric authentication. The majority of the currently available algorithms only work well on healthy participants. A novel normalization and interpolation algorithm is proposed to convert an ECG signal into multiple template cycles, which are comparable between any two ECGs, no matter the sampling rates or health status. The overall accuracies reach 100% and 90.11% for healthy participants and cardiovascular disease (CVD) patients, respectively.