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Adiponectin restores the obesity-induced impaired immunomodulatory function of mesenchymal stromal cells via glycolytic reprogramming

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Acta Pharmaceutica Sinica B 2024年第1期14卷 273-291页

作者： Duc-Vinh Pham Thi-Kem nguyen bao-Loc nguyen Jong-Oh Kim Jee-Heon Jeong Inho Choi Pil-Hoon Park Department of Pharmacology Hanoi University of PharmacyHanoi 100000Viet Nam College of Pharmacy Yeungnam UniversityGyeongsan 38541Republic of Korea Department of Medical Biotechnology Yeungnam UniversityGyeongsan 38541Republic of Korea Research Institute of Cell Culture Yeungnam UniversityGyeongsan 38541Republic of Korea Department of Precision Medicine School of MedicineSungkyunkwan UniversitySuwon 16419Republic of Korea

Obesity has been known to negatively modulate the life-span and immunosuppressive potential of mesenchymal stromal cells(MSC).However,it remains unclear what drives the compromised potency of obese *** this study,we examined the involvement of adiponectin,an adipose tissuederived hormone,in obesity-induced impaired therapeutic function of ***-induced obesity leads to a decrease in serum adiponectin,accompanied by impairment of survival and immunomodulatory effects of adipose-derived MSC(ADSC).Interestingly,priming with globular adiponectin(gAcrp)improved the immunomodulatory potential of obese *** effects were also observed in lean *** addition,gAcrp potentiated the therapeutic effectiveness of ADSC in a mouse model of DSS-induced ***,while obesity inhibited the glycolytic capacity of MSC,gAcrp treatment induced a metabolic shift toward glycolysis through activation of adiponectin receptor type 1/p38 MAPK/hypoxia inducible factor-1a *** findings suggest that activation of adiponectin signaling is a promising strategy for enhancing the therapeutic efficacy of MSC against immune-mediated disorders.

关键词： Adiponectin Adipose-derived stromal cells Colitis Glycolytic induction HIF1a Immunomodulation Mesenchymal stromal cells Obesity

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Natural variables separate the endemic areas of Clonorchis sinensis and Opisthorchis viverrini along a continuous, straight zone in Southeast Asia

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贫困所致传染病(英文) 2024年第2期13卷 1-13页

作者： Zheng Jin-Xin Zhu Hui-Hui Xia Shang Qian Men-bao nguyen Hung Manh Sripa Banchob Sayasone Somphou Khieu Virak Bergquist Robert Zhou Xiao-Nong School of Global Health Chinese Center for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China One Health Center Shanghai Jiao Tong University The University of Edinburgh Shanghai China National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research) NHC Key Laboratory of Parasites and Vectors Biology WHO Collaborating Centre for Tropical Diseases National Center for International Research on Tropical Diseases Shanghai China Institute of Ecology and Biological Resources Graduate University of Science and Technology Vietnam Academy of Science and Technology Hoang Quoc Viet Street Hanoi Vietnam WHO Collaborating Centre for Research and Control of Opisthorchiasis (Southeast Asian Liver Fluke Disease) Tropical Disease Research Laboratory Department of Tropical Medicine Faculty of Medicine Khon Kaen University Mittraparb Road Khon Kaen Thailand Lao Tropical and Public Health Institute Ministry of Health Vientiane Lao PDR National Centre for Parasitology Entomology and Malaria Control Ministry of Health Phnom Penh Cambodia Ingerod Brastad Sweden (formerly at the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases) World Health Organization Geneva Switzerland

Background Clonorchiasis and opisthorchiasis, caused by the liver flukesClonorchis sinensis andOpisthorchis viverrini respectively, represent significant neglected tropical diseases (NTDs) in Asia. The co-existence of these pathogens in overlapping regions complicates effective disease control strategies. This study aimed to clarify the distribution and interaction of these diseases within Southeast *** We systematically collated occurrence records of human clonorchiasis (n = 1809) and opisthorchiasis (n = 731) across the Southeast Asia countries. Utilizing species distribution models incorporating environmental and climatic data, coupled machine learning algorithms with boosted regression trees, we predicted and distinguished endemic areas for each fluke species. Machine learning techniques, including geospatial analysis, were employed to delineate the boundaries between these *** Our analysis revealed that the endemic range ofC. sinensis andO. viverrini in Southeast Asia primarily spans across part of China, Vietnam, Thailand, Laos, and Cambodia. During the period from 2000 to 2018, we identifiedC. sinensis infections in 84 distinct locations, predominantly in southern China (Guangxi Zhuang Autonomous Region) and northern Vietnam. In a stark contrast,O. viverrini was more widely distributed, with infections documented in 721 locations across Thailand, Laos, Cambodia, and Vietnam. Critical environmental determinants were quantitatively analyzed, revealing annual mean temperatures ranging between 14 and 20 °C in clonorchiasis-endemic areas and 24–30 °C in opisthorchiasis regions (P < 0.05). The machine learning model effectively mapped a distinct demarcation zone, demonstrating a clear separation between the endemic areas of these two liver flukes with AUC from 0.9 to1. The study in Vietnam delineates the coexistence and geographical boundaries ofC. sinensis andO. viverrini, revealing distinct endemic zones and a transitional area where both live

关键词： Liver fluke Clonorchiasis Opisthorchiasis Clonorchis sinensis Opisthorchis viverrine Southeast Asia Machine learning Ecological study

Assessment of Agricultural Soil Quality Indices Using Mechanistic Models

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Open Journal of Soil Science 2024年第6期14卷 333-352页

作者： Mohammadali Nikpey Javad Robatjazi Shahabeddin Garmehei Hendra Gonsalve W. Lasar nguyen khoi Nghia Benjamin Kwadwo Agyei Department of Soil Science Faculty of Agriculture Tarbiat Modarres University Tehran Iran Texas A&M AgriLife Research Department of Soil and Crop Sciences Texas A&M University College Station TX USA Faculty of Soil Sciences College of Agriculture Can Tho University Can Tho Vietnam Department of Plant Soil and Microbial Sciences Michigan State University East Lansing MI USA

Assessing soil quality is a critical strategy for diagnosing soil status and anticipating concerns in land use systems for agricultural sustainability. In this study, two soil quality assessment indices, the Integrated Quality Index (IQI) and Nemoro Quality Index (NQI), were employed using two indicator selection methods: Total Data Set (TDS) and Minimum Data Set (MDS), focusing on agricultural fields in Golestan province, Iran. A total of 89 soil samples were collected and analyzed for particle size distribution, organic carbon, calcium carbonate equivalent (CCE), electrical conductivity (EC), pH, and plant-essential nutrients, including nitrogen, phosphorus, potassium, zinc, copper, manganese, and iron. Principal component analysis (PCA) was used to extract MDS from TDS, and geostatistical adaptation and correlation analyses were performed to determine the optimal soil quality evaluation index. Our results show that the exponential model better suits the spatial structure of soil quality indicators (IQIMDS: 0.955). Conformity and correlation analyses indicate that the IQI index outperformed the NQI index in estimating soil quality. The superiority of the TDS technique over the MDS technique in terms of accuracy (IQITDSs kappa: 0.155). Linear relationships between different methods showed a higher correlation coefficient (R2 = 0.43) through the application of IQI. This study suggests the use of IQIMDS to provide a reliable measurement that is particularly useful in assessing the quality of agricultural soil.

关键词： Soil Quality Geographic Information System Integrated Quality Index Nemoro Quality Index

Honey vesicle-like nanoparticles protect aged liver from non-alcoholic steatohepatitis

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Acta Pharmaceutica Sinica B 2024年第8期14卷 3661-3679页

作者： baolong Liu Phuong Linh nguyen Han Yu Xingzhi Li Huiren Wang Tram Gia bao nguyen Prakash Kumar Sahoo Meghna Sur Jay Reddy Sarah Sillman Stephen D.Kachman Bara Altartouri Guoqing Lu Sathish Kumar Natarajan Mahesh Pattabiraman Jiujiu Yu Department of Nutrition and Health Sciences University of Nebraska-LincolnLincolnNE 68583USA Shaanxi Key Laboratory of Molecular Biology for Agriculture College of Animal Science and TechnologyNorthwest A&F UniversityYangling 712100China Department of Nutrition Case Western Reserve UniversityClevelandOH 44106USA School of Veterinary Medicine and Biomedical Sciences University of Nebraska-LincolnLincolnNE 68583USA Department of Statistics University of Nebraska-LincolnLincolnNE 68583USA Center for Biotechnology University of Nebraska-LincolnLincolnNE 68588USA Department of Biology University of Nebraska OmahaOmahaNE 68182USA Department of Chemistry University of Nebraska-KearneyKearneyNE 68849USA

Non-alcoholic steatohepatitis(NASH),an advanced form of non-alcoholic fatty liver disease(NAFLD),has emerged as the leading cause of liver failure and related ***,no medication is specifically approved to treat NAFLD or *** we report that oral administration of honey vesiclelike nanoparticles(H-VLNs)to naturally aged mice protects the liver from NASH development.H-VLNs are dominantly taken up by Kupffer cells in the liver and suppress hepatic chronic inflammation and further development of fibrosis and nodule formation in aged *** their reported antiinflammasome function,H-VLNs are found to inhibit the transcriptional activities of C-JUN and nuclear factor-kappa B(NF-κB).MicroRNAs miR5119 and miR5108 and phenolic compound luteolin in H-VLNs are identified in suppressing both the C-JUN and NF-kB ***,oral intake of H-VLNs represents a promising new user-friendly modality to prevent the development of NASH.

关键词： Honey Extracellular vesicles Exosomes Nanoparticles microRNAs Aging Inflammation Non-alcoholic steatohepatitis

Stock-Price Forecasting Based on XGBoost and LSTM

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Computer Systems Science & Engineering 2022年第1期40卷 237-246页

作者： Pham hoang Vuong Trinh Tan Dat Tieu khoi Mai Pham hoang Uyen Pham The bao Information Science Faculty Sai Gon UniversityHo Chi Minh City700000Vietnam University of Economics and Law Ho Chi Minh City700000Vietnam

Using time-series data analysis for stock-price forecasting(SPF)is complex and challenging because many factors can influence stock prices(e.g.,inflation,seasonality,economic policy,societal behaviors).Such factors can be analyzed over time for *** learning and deep learning have been shown to obtain better forecasts of stock prices than traditional *** study,therefore,proposed a method to enhance the performance of an SPF system based on advanced machine learning and deep learning ***,we applied extreme gradient boosting as a feature-selection technique to extract important features from high-dimensional time-series data and remove redundant ***,we fed selected features into a deep long short-term memory(LSTM)network to forecast stock *** deep LSTM network was used to reflect the temporal nature of the input time series and fully exploit future con-textual *** complex structure enables this network to capture more stochasticity within the stock *** method does not change when applied to stock data or Forex *** results based on a Forex dataset covering 2008–2018 showed that our approach outperformed the baseline autoregressive integrated moving average approach with regard to mean absolute error,mean squared error,and root-mean-square error.

关键词： stock-price forecasting ARIMA XGBoost LSTM deep learning

The global COVID-19 vaccine surplus:tackling expiring stockpiles

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Infectious Diseases of Poverty 2023年第2期12卷 106-111页

作者： nguyen khoi Quan nguyen Le My Anh Andrew W.Taylor-Robinson College of Health Sciences VinUniversityGia Lam DistrictHanoi100000Vietnam Faculty of Medicine Imperial College LondonLondonSW72AZUK Center for Global Health Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA

Background A global surplus of coronavirus disease 2019(COVID-19)vaccines exists as a result of difficulties in aligning the demand and supply for vaccine manufacturing and *** leaders have accelerated vaccine development,approval,production and distribution as a pragmatic approach to addressing the immediate public health challenges of the first two and a half years of the *** body The currently predominant,highly transmissible Omicron variant of severe acute respiratory syndrome coronavirus 2 has brought us closer to the threshold required to achieve herd immunity by greatly increasing rates of natural ***,in parallel with rising vaccination levels in industrialized nations,this indirectly reduces the need for mass vaccine *** concerns that contribute to low vaccination rates which persist in several other countries,particularly of the Global South,are vaccine hesitancy and unequal access to *** uncertainty fueled by fake news,misinformation,unfounded lay opinions and conspiracy theories has inevitably led to an erosion of public trust in *** To address the current mismatch between supply and demand of COVID-19 vaccines,there should be a focus on three principles:decelerating vaccine production,increasing distribution across communities,and optimizing cost-effectiveness of distribution *** down and switching from large-scale production to effectively‘made to order’is a feasible option,which should be commensurate with management *** and evidence-based data should be widely and freely disseminated to the public through multimedia channels to mitigate miscommunication and conspiracy *** of soon-to-expire stockpiles should be prioritized not only to enhance booster dose rollouts in adults but to expand immunization campaigns to children(especially those aged 5–11 years),subject to national *** research should ideally aim to de

关键词： COVID-19 SARS-CoV-2 Omicron Vaccination Immunization Vaccine surplus Vaccine hesitancy Vaccine reluctance Vaccine inequity

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One-step hydrothermal synthesis of Sn-doped α-Fe_(2)O_(3) nanoparticles for enhanced photocatalytic degradation of Congo red

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Journal of Semiconductors 2022年第12期43卷 22-31页

作者： Van Nang Lam Thi Bich Vu Quang Dat Do Thi Thanh Xuan Le Tien Dai nguyen T-Thanh-bao nguyen hoang Tung Do Thi Tu Oanh nguyen Department of Natural Sciences Hoa Lu UniversityNinh NhatNinh Binh CityViet Nam Institute of Theoretical and Applied Research Duy Tan UniversityHanoi 100000Viet Nam Faculty of Natural Sciences Duy Tan UniversityDa Nang 550000Vietnam Institute of Physics Vietnam Academy of Science and Technology10 Dao TanBa DinhHanoiVietnam Institute of Materials Science Vietnam Academy of Science and Technology18 Hoang Quoc VietCaugiayHanoiVietnam

We report on the synthesis of Sn-doped hematite nanoparticles(Sn-α-Fe_(2)O_(3) NPs)by the hydrothermal *** prepared Sn-α-Fe_(2)O_(3) NPs had a highly pure and well crystalline rhombohedral phase with an average particle size of 41.4 *** optical properties of as-synthesizedα-Fe_(2)O_(3) NPs show a higher bandgap energy(2.40-2.57 eV)than that of pure bulkα-Fe_(2)O_(3)(2.1 eV).By doping Sn intoα-Fe_(2)O_(3) NPs,the Sn-doped hematite was observed a redshift toward a long wavelength with in-creasing Sn concentration from 0%to 4.0%.The photocatalytic activity of Sn-dopedα-Fe_(2)O_(3) NPs was evaluated by Congo red(CR)dye *** degradation efficiency of CR dye using Sn-α-Fe_(2)O_(3) NPs catalyst is higher than that of pureα-Fe_(2)O_(3) *** highest degradation efficiency of CR dye was 97.8%using 2.5%Sn-dopedα-Fe_(2)O_(3) NPs catalyst under visible-light *** results suggest that the synthesized Sn-dopedα-Fe_(2)O_(3) nanoparticles might be a suitable approach to develop a photocatalytic degradation of toxic inorganic dye in wastewater.

关键词： α-Fe_(2)O_(3)nanoparticles Sn Congo red photocatalytic properties photodegradation

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A Truck Scheduling Problem for Multi-Crossdocking System with Metaheuristics

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Computers, Materials & Continua 2022年第9期72卷 5165-5178页

作者： Phan nguyen Ky Phuc nguyen Van Thanh Duong bao Tram International University-Vietnam National University Vietnam National UniversityHoChiMinh City70000Vietnam Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

The cross-docking is a very important subject in logistics and supply chain *** to the definition,cross-docking is a process dealing with transhipping inventory,in which goods and products are unloaded from an inbound truck and process through a flow-center to be directly loaded onto an outbound ***-docking is favored due to its advantages in reducing the material handing cost,the needs to store the product in warehouse,as well decreasing the labor cost by eliminating packaging,storing,pick-location and order *** cross-docking,products can be consolidated and transported as a full load,reducing overall distribution *** this paper,we focus on a truck scheduling at the multidoor,multi-crossdocking network with inventory constraints and process capability *** this model,a truck can visit severals docks for loading or unloading many types *** situation is very common in *** study also developed an exact mathematical model using mixedinteger linear programming(MILP)with the objective of minimizing the makespan to obtaint the benchmark in small scale *** scale problems are solved through Simulated Annealing(SA)algorithm and Tabu Search(TS)*** of these algorithms will be compared to benchmarks obtained from solver as well as to each other.

关键词： Truck scheduling multi-door multi-crossdocking network simulated annealing tabu search

Building 3-D Human Data Based on Handed Measurement and CNN

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Computers, Materials & Continua 2023年第2期74卷 2431-2441页

作者： Bich nguyen Binh nguyen Hai Tran Vuong Pham Le Nhi Lam Thuy Pham The bao Faculty of Information Science Sai Gon UniversityHo Chi Minh70000Vietnam Faculty of Information Technology University of EducationHo Chi Minh70000Vietnam

3-dimension(3-D)printing technology is growing strongly with many applications,one of which is the garment *** application of human body models to the garment industry is necessary to respond to the increasing personalization demand and still guarantee *** paper proposes amethod to construct 3-D human models by applying deep *** calculate the location of the main slices of the human body,including the neck,chest,belly,buttocks,and the rings of the extremities,using pre-existing ***,on the positioning frame,we find the key points(fixed and unaltered)of these key slices and update these points tomatch the current *** add points to a star slice,we use a deep learning model tomimic the form of the human body at that slice *** use interpolation to produce sub-slices of different body sections based on the main slices to create complete body parts *** combine all slices to construct a full 3-D representation of the human body.

关键词： 3-D human model deep learning interpolation