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Effects of Aeriscardovia aeriphila on growth performance,antioxidant functions,immune responses,and gut microbiota in broiler chickens

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第11期24卷 1014-1026页

作者： Muhammad Zahid FAROOQ Xinkai Wang Xianghua YAN National Key Laboratory of Agricultural Microbiology Hubei Hongshan LaboratoryFrontiers Science Center for Animal Breeding and Sustainable ProductionCollege of Animal Sciences and TechnologyHuazhong Agricultural UniversityWuhan430070China Department of Animal Sciences University of Veterinary and Animal Sciences(Jhang Campus)Lahore54000Pakistan

Aeriscardovia aeriphila,also known as Bifidobacterium aerophilum,was first isolated from the caecal contents of pigs and the faeces of cotton-top tamarin.Bifidobacterium species play important roles in preventing intestinal infections,decreasing cholesterol levels,and stimulating the immune system.In this study,we isolated a strain of bacteria from the duodenal contents of broiler chickens,which was identified as A.aeriphila,and then evaluated the effects of A.aeriphila on growth performance,antioxidant functions,immune functions,and gut microbiota in commercial broiler chickens.Chickens were orally gavaged with A.aeriphila(1×109 CFU/mL)for 21 d.The results showed that A.aeriphila treatment significantly increased the average daily gain and reduced the feed conversion ratio(P<0.001).The levels of serum growth hormone(GH)and insulin-like growth factor 1(IGF-1)were significantly increased following A.aeriphila treatment(P<0.05).Blood urea nitrogen and aspartate aminotransferase levels were decreased,whereas glucose and creatinine levels increased as a result of A.aeriphila treatment.Furthermore,the levels of serum antioxidant enzymes,including catalase(P<0.01),superoxide dismutase(P<0.001),and glutathione peroxidase(P<0.05),and total antioxidant capacity(P<0.05)were enhanced following A.aeriphila treatment.A.aeriphila treatment significantly increased the levels of serum immunoglobulin A(IgA)(P<0.05),IgG(P<0.01),IgM(P<0.05),interleukin-1(IL-1)(P<0.05),IL-4(P<0.05),and IL-10(P<0.05).The broiler chickens in the A.aeriphila group had higher secretory IgA(SIgA)levels in the duodenum(P<0.01),jejunum(P<0.001),and cecum(P<0.001)than those in the control group.The messenger RNA(mRNA)relative expression levels of IL-10(P<0.05)and IL-4(P<0.001)in the intestinal mucosa of chickens were increased,while nuclear factor-κB(NF-κB)(P<0.001)expression was decreased in the A.aeriphila group compared to the control group.Phylum-level analysis revealed Firmicutes as the main phylum,followed by Bacteroidetes,in both groups.The data also

关键词： Chicken Aeriscardovia aeriphila Gut health Microbiome Immune function

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Successful resolution of hemophagocytic lymphohistiocytosis during the chemotherapy course of acute myelocytic leukemia with ruxolitinib

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Chinese Medical Journal 2022年第2期135卷 237-239页

作者： Yue Song Jingshi wang Xinkai Wang Yini wang Zhao wang Department of Hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China

To the Editor:Hemophagocytic lymphohistiocytosis(HLH)is a severe or even fatal inflammatory condition.Malignant HLH(M-HLH)is one of the most common types of secondary HLH(sHLH),especially in adults.HLH can occur either as the initial manifestation of malignant disease(here referred to as“malignancy-triggered HLH”)or in the setting of iatrogenic immuno-suppression from chemotherapy(“HLH during chemotherapy”or Ch-HLH).

关键词： chemotherapy histiocytosis phagocytic

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Bacteroides-derived isovaleric acid enhances mucosal immunity by facilitating intestinal IgA response in broilers

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Journal of Animal Science and Biotechnology 2023年第3期14卷 1252-1273页

作者： Xinkai Wang Yifan Hu Xiaoyan Zhu Liyuan Cai Muhammad Zahid Farooq Xianghua Yan State Key Laboratory of Agricultural Microbiology Hubei Hongshan LaboratoryFrontiers Science Center for Animal Breeding and Sustainable ProductionCollege of Animal Sciences and TechnologyHuazhong Agricultural UniversityWuhan 430070HubeiChina Department of Animal Sciences University of Veterinary and Animal Sciences(Jhang Campus)Lahore 54000Pakistan

Background:The interaction between nutrition and immunity plays a vital role in nutrient digestion,absorption,and metabolism during poultry production.Recent studies showed that the gut microbiota contributes to the development of intestinal mucosal immunity.However,the mechanisms by which gut microbes regulate this process remain unclear.Methods:We compared the intestinal mucosal immunity and gut microbiota of Arbor Acre broilers AA(lower mucosal immunity)and Chinese native Wuliang Mountain Black-bone chickens(WLMB)(higher mucosal immunity)using 16S rDNA sequencing,transcriptomic analysis,and immunoglobulin A(IgA)antibody repertoire sequencing.We then combined 16S rDNA sequencing with transcriptomics to identify the key microbes and found that they were positively correlated with IgA production.Next,we transplanted candidate microbes into 1-day-old broiler to explore their role in intestinal mucosal immunity.Finally,we verified the function of candidate microbial metabolites in regulating the immune function of macrophages and the intestinal-epithelial cells(IECs)using in vitro experiments.Results:WLMB performs stronger mucosal immunity than AA,including higher IgA levels,more diverse IgA antibody repertoire,and higher bacterial affinity.Bacteroides was identified as the key microbes related to the intestinal IgA response.Bacteroides transplantation could increase IgA concentration in the duodenal contents by enhancing the expression of IgA,polymeric immunoglobin receptor(PIgR),B cell-activating factor of the TNF family(BAFF),and activation-induced cytidine deaminase(AID)in the duodenum.Additionally,Bacteroides-derived isovaleric acid promoted M2 macrophage polarization of macrophage via mTOR/PPAR-γ/STAT3 signaling pathways and regulated the immunologic function of IECs to produce cytokines,including interleukin(IL)-10,IL-4,BAFF,and transforming growth factor-beta(TGF-β),thus promoting IgA production in B cells by facilitating AID expression.Conclusion:Our study revealed that Bacteroides modulate the intestinal

关键词： Bacteroides Chicken IgA Intestinal health Isovaleric acid Macrophage

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Multi-omics analysis reveals gut microbiota-induced intramuscular fatdeposition via regulating expression of lipogenesis-associated genes

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Animal Nutrition 2022年第2期9卷 84-99页

作者： Chunlin Xie Junyong Teng Xinkai Wang Baoyang Xu Yaorong Niu Libao Ma Xianghua Yan State Key Laboratory of Agricultural Microbiology College of Animal Sciences and TechnologyHuazhong Agricultural UniversityWuhanHubei430070China Hubei Hongshan Laboratory WuhanHubei430070China The Cooperative Innovation Center of Sustainable Pig Production WuhanHubei430070China Hubei Provincial Engineering Laboratory for Pig Precision Feeding and Feed Safety Technology WuhanHubei430070China

The gut microbiome has great effects on the digestion, absorption, and metabolism of lipids. However,the microbiota composition that can alter the fat deposition and the meat quality of pigs remains unclear.Here, we used Laiwu (LW) pigs (a native Chinese breed with higher intramuscular fat) compared withcommercial crossbreed Duroc×(Landrace×Yorkshire) (DLY) pigs to investigate the effects of microbiotaon meat quality, especially in intramuscular fat content. A total of 32 DLY piglets were randomly allottedto 4 groups and transplanted with fecal microbiota from healthy LW pigs. The results indicated that thehigh dose of fecal microbiota transplantation (HFMT) selectively enhanced fat deposition in longissimusdorsi (P < 0.05) but decreased backfat thickness (P < 0.05) compared with control group. HFMT significantlyaltered meat color and increased feed conversation ratio (P < 0.05). Furthermore, the multi-omicsanalysis revealed that Bacteroides uniformis, Sphaerochaeta globosa, Hydrogenoanaerobacterium saccharovorans,and Pyramidobacter piscolens are the core species which can regulate lipid deposition. A total of140 male SPF C57BL/6j mice were randomly allotted into 7 groups and administrated with these 4 microbesalone or consortium to validate the relationships between microbiota and lipid deposition.Inoculating the bacterial consortium into mice increased intramuscular fat content (P < 0.05) comparedwith control mice. Increased expressions of lipogenesis-associated genes including cluster of differentiation36 (Cd36), diacylglycerol O-acyltransferase 2 (Dgat2), and fatty acid synthase (FASN) wereobserved in skeletal muscle in the mice with mixed bacteria compared with control mice. Together, ourresults suggest that the gut microbiota may play an important role in regulating the lipid deposition in the muscle of pigs and mice.

关键词： Gut microbiota Lipid deposition Intramuscular fat Meat quality Fecal microbiota transplantation

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A spawning particle filter for defocused moving target detection in GNSS-based passive radar

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Journal of Systems Engineering and Electronics 2023年第5期34卷 1085-1100页

作者： ZENG Hongcheng DENG Jiadong wang Pengbo ZHOU xinkai YANG Wei CHEN Jie School of Electronic and Information Engineering Beihang UniversityBeijing 100191China National Key Laboratory of Science and Technology on Space Microwave China Academy of Space TechnologyXi’an 710000China

Global Navigation Satellite System(GNSS)-based passive radar(GBPR)has been widely used in remote sensing applications.However,for moving target detection(MTD),the quadratic phase error(QPE)introduced by the non-cooperative target motion is usually difficult to be compensated,as the low power level of the GBPR echo signal renders the estimation of the Doppler rate less effective.Consequently,the moving target in GBPR image is usually defocused,which aggravates the difficulty of target detection even further.In this paper,a spawning particle filter(SPF)is proposed for defocused MTD.Firstly,the measurement model and the likelihood ratio function(LRF)of the defocused point-like target image are deduced.Then,a spawning particle set is generated for subsequent target detection,with reference to traditional particles in particle filter(PF)as their parent.After that,based on the PF estimator,the SPF algorithm and its sequential Monte Carlo(SMC)implementation are proposed with a novel amplitude estimation method to decrease the target state dimension.Finally,the effectiveness of the proposed SPF is demonstrated by numerical simulations and pre-liminary experimental results,showing that the target range and Doppler can be estimated accurately.

关键词： Global Navigation Satellite System(GNSS)-based passive radar(GBPR) defocused target moving target detec-tion(MTD) likelihood ratio function(LRF) spawning particle fil-ter(SPF)

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Robust Damage Detection and Localization Under Complex Environmental Conditions Using Singular Value Decomposition-based Feature Extraction and One-dimensional Convolutional Neural Network

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Chinese Journal of Mechanical Engineering 2023年第3期36卷 252-261页

作者： Shengkang Zong Sheng wang Zhitao Luo xinkai Wu Hui Zhang Zhonghua Ni Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjing 211189China

Ultrasonic guided wave is an attractive monitoring technique for large-scale structures but is vulnerable to changes in environmental and operational conditions(EOC),which are inevitable in the normal inspection of civil and mechanical structures.This paper thus presents a robust guided wave-based method for damage detection and localization under complex environmental conditions by singular value decomposition-based feature extraction and one-dimensional convolutional neural network(1D-CNN).After singular value decomposition-based feature extraction processing,a temporal robust damage index(TRDI)is extracted,and the effect of EOCs is well removed.Hence,even for the signals with a very large temperature-varying range and low signal-to-noise ratios(SNRs),the final damage detection and localization accuracy retain perfect 100%.Verifications are conducted on two different experimental datasets.The first dataset consists of guided wave signals collected from a thin aluminum plate with artificial noises,and the second is a publicly available experimental dataset of guided wave signals acquired on a composite plate with a temperature ranging from 20℃to 60℃.It is demonstrated that the proposed method can detect and localize the damage accurately and rapidly,showing great potential for application in complex and unknown EOC.

关键词： Ultrasonic guided waves Singular value decomposition Damage detection and localization Environmental and operational conditions One-dimensional convolutional neural network

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A reduced order model for coupled mode cascade flutter analysis

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Chinese Journal of Aeronautics 2022年第10期35卷 176-182页

作者： Huang HUANG xinkai JIA Jia REN Bochao CAO Dingxi wang Xiuquan HUANG School of Power and Energy Northwestern Polytechnical UniversityXi'an 710072China Yangtze River Delta Research Institute of Northwestern Polytechnical University Taicang 215400China Department of Aeronautics and Astronautics Fudan UniversityShanghai 200433China

A Reduced Order Model(ROM)based analysis method for turbomachinery cascade coupled mode flutter is presented in this paper.The unsteady aerodynamic model is established by a system identification technique combined with a set of Aerodynamic Influence Coefficients(AIC).Subsequently,the aerodynamic model is encoded into the state space and then coupled with the structural dynamic equations,resulting in a ROM of the cascade aeroelasticity.The cascade flutter can be determined by solving the eigenvalues of the ROM.Bending-torsional coupled mode flutter analysis for the Standard Configuration Eleven(SC11)cascade is used to validate the proposed method.

关键词： Aerodynamic influence coefficients Chirp signal Coupled mode flutter Eigenvalue problem Reduced order model

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A graph-based contrastive learning framework for medicare insurance fraud detection

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Frontiers of Computer Science 2023年第2期17卷 245-247页

作者： Song XIAO Ting BAI Xiangchong CUI Bin WU xinkai MENG Bai wang School of Computer Science Beijing University of Posts and TelecommunicationsBeijing 100876China

1 Introduction With the improvement of people's living standards,medical insurance has gradually moved towards universal coverage in recent years.Nevertheless,problems such asmedical insurance fraud,resource waste and drug abuse emerge successively,which cause a colossal waste of public resources.Therefore,reducing or eliminating medical insurance fraud can safeguard the medical insurance fund,which is essential for promoting economic development,improving public health,and maintaining social stability[1].The specialized challenges for medical insurance fraud detection are summarized as follows.

关键词： specialized insurance summarized

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Lactobacillus frumenti mediates energy production via fatty acid β-oxidation in the liver of early-weaned piglets

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Journal of Animal Science and Biotechnology 2020年第1期11卷 268-279页

作者： Zhichang wang Jun Hu Wenyong Zheng Tao Yang Xinkai Wang Chunlin Xie Xianghua Yan State Key Laboratory of Agricultural Microbiology College of Animal Sciences and TechnologyHuazhong Agricultural UniversityWuhanHubei 430070China The Cooperative Innovation Center for Sustainable Pig Production WuhanHubei 430070China Hubei Provincial Engineering Laboratory for Pig Precision Feeding and Feed Safety Technology WuhanHubei 430070China.

Background:Early-weaning of piglets is often accompanied by severe disorders,especially diarrhea.The gut microbiota and its metabolites play a critical role in the maintenance of the physiologic and metabolic homeostasis of the host.Our previous studies have demonstrated that oral administration of Lactobacillus frumenti improves epithelial barrier functions and confers diarrhea resistance in early-weaned piglets.However,the metabolic response to L.frumenti administration remains unclear.Then,we conducted simultaneous serum and hepatic metabolomic analyses in early-weaned piglets administered by L.frumenti or phosphatebuffered saline(PBS).Results:A total of 1006-day-old crossbred piglets(Landrace×Yorkshire)were randomly divided into two groups and piglets received PBS(sterile,2 m L)or L.frumenti(suspension in PBS,10~8 CFU/m L,2 m L)by oral administration once per day from 6 to 20 days of age.Piglets were weaned at 21 days of age.Serum and liver samples for metabolomic analyses were collected at 26 days of age.Principal components analysis(PCA)showed that L.frumenti altered metabolism in serum and liver.Numerous correlations(P<0.05)were identified among the serum and liver metabolites that were affected by L.frumenti.Concentrations of guanosine monophosphate(GMP),inosine monophosphate(IMP),and uric acid were higher in serum of L.frumenti administration piglets.Pathway analysis indicated that L.frumenti regulated fatty acid and amino acid metabolism in serum and liver.Concentrations of fatty acidβ-oxidation related metabolites in serum(such as3-hydroxybutyrylcarnitine,C4-OH)and liver(such as acetylcarnitine)were increased after L.frumenti administration.Conclusions:Our findings suggest that L.frumenti regulates lipid metabolism and amino acid metabolism in the liver of early-weaned piglets,where it promotes fatty acidβ-oxidation and energy production.High serum concentrations of nucleotide intermediates,which may be an alternative strategy to reduce the incidence of diarrhea in early-weaned piglets,were further det

关键词： Early-weaned piglets Fatty acidβ-oxidation Gut microbiota Lactobacillus frumenti Metabolomic analysis

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Estimation of biomass in wheat using random forest regression algorithm and remote sensing data

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The Crop Journal 2016年第3期4卷 212-219页

作者： Li'ai wang Xudong Zhou xinkai Zhu Zhaodi Dong Wenshan Guo Key Laboratory of Crop Genetics and Physiology of Jiangsu Province Yangzhou University Information Engineering College of Yangzhou University

Wheat biomass can be estimated using appropriate spectral vegetation indices.However,the accuracy of estimation should be further improved for on-farm crop management.Previous studies focused on developing vegetation indices,however limited research exists on modeling algorithms.The emerging Random Forest(RF) machine-learning algorithm is regarded as one of the most precise prediction methods for regression modeling.The objectives of this study were to(1) investigate the applicability of the RF regression algorithm for remotely estimating wheat biomass,(2) test the performance of the RF regression model,and(3) compare the performance of the RF algorithm with support vector regression(SVR) and artificial neural network(ANN) machine-learning algorithms for wheat biomass estimation.Single HJ-CCD images of wheat from test sites in Jiangsu province were obtained during the jointing,booting,and anthesis stages of growth.Fifteen vegetation indices were calculated based on these images.In-situ wheat above-ground dry biomass was measured during the HJ-CCD data acquisition.The results showed that the RF model produced more accurate estimates of wheat biomass than the SVR and ANN models at each stage,and its robustness is as good as SVR but better than ANN.The RF algorithm provides a useful exploratory and predictive tool for estimating wheat biomass on a large scale in Southern China.

关键词： Above-ground dry biomass Triticum aestivum Vegetation indices Wheat

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