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Article ; Online: Quaternary ammonium-tethered hyperbranched polyurea nanoassembly synergized with antibiotics for enhanced antimicrobial efficacy.

Feng, Yanwen / Bian, Jiang / Yu, Guoyi / Zhao, Pei / Yue, Jun

2024 Volume 12, Issue 5, Page(s) 1185–1196

Abstract: The effective transportation of antibiotics to bacteria embedded within a biofilm consisting of a dense matrix of extracellular polymeric substances is still a challenge in the treatment of bacterial biofilm associated infections. Here, we developed an ... ...

Abstract	The effective transportation of antibiotics to bacteria embedded within a biofilm consisting of a dense matrix of extracellular polymeric substances is still a challenge in the treatment of bacterial biofilm associated infections. Here, we developed an antibiotic nanocarrier constructed from quaternary ammonium-tethered hyperbranched polyureas (HPUs-QA), which showed high loading capacity for a model antibiotic, rifampicin, and high efficacy in the transportation of rifampicin to biofilms. The rifampicin-loaded HPUs-QA nanoassembly (HPUs-Rif/QA) demonstrated a synergistic antimicrobial effect in killing planktonic bacteria and eradicating the corresponding biofilms. Compared to the treatment of bacteria-infected chronic wounds by either HPUs-QA or rifampicin alone, HPUs-Rif/QA showed superior efficacy in promoting wound healing by more effectively inhibiting bacteria colonization. This study highlights the potential of the HPUs-QA nanoassembly in synergistic action with antibiotics for the treatment of biofilm associated infections.
MeSH term(s)	Humans ; Anti-Bacterial Agents/pharmacology ; Rifampin/pharmacology ; Biofilms ; Bacterial Infections ; Microbial Sensitivity Tests ; Polymers
Chemical Substances	Anti-Bacterial Agents ; polyurea (37955-36-5) ; Rifampin (VJT6J7R4TR) ; Polymers
Language	English
Publishing date	2024-02-27
Publishing country	England
Document type	Journal Article
ZDB-ID	2693928-9
ISSN	2047-4849 ; 2047-4830
ISSN (online)	2047-4849
ISSN	2047-4830
DOI	10.1039/d3bm01519j
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Article ; Online: Parameter variability across different timescales in the energy balance-based model and its effect on evapotranspiration estimation

Hu, Xiaolong / Shi, Liangsheng / Lian, Xie / Bian, Jiang

Science of the Total Environment. 2023 May, v. 871 p.161919-

2023

Abstract: Evapotranspiration is a key consideration for addressing a number of scientific and engineering issues. There are considerable errors in current evapotranspiration models due to the high uncertainty in model parameters. Considering that ... ...

Abstract	Evapotranspiration is a key consideration for addressing a number of scientific and engineering issues. There are considerable errors in current evapotranspiration models due to the high uncertainty in model parameters. Considering that evapotranspiration models maintain the same mathematical form when run on different timescales, we argue that the uncertainty in model parameters can be reduced by considering the parameter variability across different timescales. Here, the four key parameters in the energy balance-based evapotranspiration model, including aerodynamic roughness length, thermodynamic roughness length, surface conductance, and energy balance ratio, are retrieved and evaluated on instantaneous and daily timescales based on the observations from 113 sites in the FLUXNET2015 dataset. Then data-driven instantaneous and daily parameter models are built to estimate evapotranspiration. The results show that strong multi-timescale variability occurs in all four parameters. The coefficients of variation of the four instantaneous parameters range from 0.32 to 1.70. The links of parameters on different timescales are weak. The correlation coefficients of the daily mean value of instantaneous parameter values and daily parameter values vary from 0.44 to 0.83. By considering the multi-timescale variability of the parameters, the accuracy of evapotranspiration estimation can be largely improved, with RMSE of the instantaneous and daily evapotranspiration estimation decreasing from 35.76 to 9.52 W m⁻² and from 12.01 to 3.01 W m⁻², respectively. We also find that the parameter models perform well on their inherent timescales but degrade significantly when transferring to other timescales. This study proves the necessity of defining parameter variability across different timescales in evapotranspiration models and provides new insight into the model parameters.
Keywords	aerodynamics ; data collection ; energy balance ; environment ; evapotranspiration ; models ; roughness length ; thermodynamics ; uncertainty ; Parameter variability ; Timescale ; Data-driven
Language	English
Dates of publication	2023-05
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.161919
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Dexmedetomidine ameliorates hyperalgesia of rat models with neuropathic pain via upregulation of PPAR-γ

ZHU Feng / ZHONG Yue / DENG Yijiang / LIU Wenzhi / BIAN Jiang

Jichu yixue yu linchuang, Vol 43, Iss 9, Pp 1369-

2023 Volume 1374

Abstract: Objective To explore the analgesic effect and underlying mechanisms of dexmedetomidine(DEX) with spared nerve injury(SNI) rat model. Methods Forty-eight SD rats were randomly divided into control group, SNI group, DEX group and DEX+GW9662 group, with 12 ... ...

Abstract	Objective To explore the analgesic effect and underlying mechanisms of dexmedetomidine(DEX) with spared nerve injury(SNI) rat model. Methods Forty-eight SD rats were randomly divided into control group, SNI group, DEX group and DEX+GW9662 group, with 12 rats in each. From first day to 14th days after SNI surgery, rats in DEX group were intra-thecally injected with 2 μg/kg (10 μL) of dexmedetomidine,rats in DEX group were intrathecally injected with 2 μg/kg of dexmedetomidine+300 μg of PPAR-γ inhibitor (GW9662), while rats in control and SNI groups were intrathecally injected with equal volume of solvent. At day 1 before operation, day 3, 7, 14 after operation, paw withdrawal threshold and thermal withdrawal latency were detected to evaluate the painintensity. At post-operative day 14,immunofluorescence staining was used to detect the expression of Iba-1 in spinal dorsal horn, Western blot was used to detect the expression of Iba-1 and PPAR-γ in ipsilateral spinal dorsal horn, ELISA was used to detect the levels of IFN-γ and IL-6 in ipsilateral spinal dorsal horn. Results On postoperative day 7 and 14, compared with control group, the pain intensity of ipsilateral hind paw and the expression of Iba-1, PPAR-γ, IL-6 and IFN-γ in ipsilateral spinal dorsal horn were enhanced in SNI group(P＜0.05). Compared with SNI group, the pain intensity of ipsilateral hind paw and the expression of Iba-1, PPAR-γ, IL-6 and IFN-γ in ipsilateral spinal dorsal horn decreased in EDX group(P＜0.05). Compared with DEX group, the pain intensity of ipsilateral hind paw and the expression of Iba-1, PPAR-γ, IL-6 and IFN-γ in ipsilateral spinal dorsal increased in DEX+GW9662 group(P＜0.05). Conclusions Dexmedetomidine obviously inhibits pain sensitization of SNI rats. The underlying analgesic mechanism may be related to the up-regulation of PPAR-γ in spinal dorsal horn.
Keywords	dexmedetomidine\|neuropathic pain\|microglia\|peroxisome proliferator-activated receptor-γ(ppar-γ) ; Medicine ; R
Subject code	616
Language	Chinese
Publishing date	2023-09-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Variational Temporal Deconfounder for Individualized Treatment Effect Estimation with Longitudinal Observational Data.

Feng, Zheng / Prosperi, Mattia / Guo, Yi / Bian, Jiang

Research square

2023

Abstract: Purpose: This paper proposes a new approach, Variational Temporal Deconfounder (VTD), for estimating individualized treatment effects (ITE) from longitudinal observational data, where we address the hidden confounding issues by using proxies (i.e., ... ...

Abstract	Purpose: This paper proposes a new approach, Variational Temporal Deconfounder (VTD), for estimating individualized treatment effects (ITE) from longitudinal observational data, where we address the hidden confounding issues by using proxies (i.e., surrogate variables that serve for unobservable variables). Methods: We build VTD by incorporating a variational recurrent autoencoder that learns the latent encodings of hidden confounders from observed proxies and an ITE estimation network that takes the learned hidden encodings to predict the probability of receiving treatments and potential outcomes. Results: We test VTD on both synthetic and real-world clinical data, and the results from synthetic data experiments demonstrate VTD's effectiveness in deconfounding by outperforming existing methods, while results from two real-world datasets (i.e., Medical Information Mart for Intensive Care version III [MIMIC-III] and the National Alzheimer's Coordinating Center [NACC] database) suggest that the performance of the VTD model outperforms existing baseline models, however, varies depending on the assumptions of underlying causal structures and availability of proxies for hidden confounders. Conclusion: The VTD offers a unique solution to address the confounding bias without the "unconfoundedness" assumption when estimating the ITE from longitudinal observational data. The elimination of the requirement for the "unconfoundedness" assumption makes the VTD more versatile and practical in real-world clinical applications of personalized medicine.
Language	English
Publishing date	2023-02-06
Publishing country	United States
Document type	Preprint
DOI	10.21203/rs.3.rs-2536079/v1
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Article ; Online: Parameter variability across different timescales in the energy balance-based model and its effect on evapotranspiration estimation.

Hu, Xiaolong / Shi, Liangsheng / Lian, Xie / Bian, Jiang

The Science of the total environment

2023 Volume 871, Page(s) 161919

Abstract	Evapotranspiration is a key consideration for addressing a number of scientific and engineering issues. There are considerable errors in current evapotranspiration models due to the high uncertainty in model parameters. Considering that evapotranspiration models maintain the same mathematical form when run on different timescales, we argue that the uncertainty in model parameters can be reduced by considering the parameter variability across different timescales. Here, the four key parameters in the energy balance-based evapotranspiration model, including aerodynamic roughness length, thermodynamic roughness length, surface conductance, and energy balance ratio, are retrieved and evaluated on instantaneous and daily timescales based on the observations from 113 sites in the FLUXNET2015 dataset. Then data-driven instantaneous and daily parameter models are built to estimate evapotranspiration. The results show that strong multi-timescale variability occurs in all four parameters. The coefficients of variation of the four instantaneous parameters range from 0.32 to 1.70. The links of parameters on different timescales are weak. The correlation coefficients of the daily mean value of instantaneous parameter values and daily parameter values vary from 0.44 to 0.83. By considering the multi-timescale variability of the parameters, the accuracy of evapotranspiration estimation can be largely improved, with RMSE of the instantaneous and daily evapotranspiration estimation decreasing from 35.76 to 9.52 W m
Language	English
Publishing date	2023-02-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.161919
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Article ; Online: Oxymatrine protects articular chondrocytes from IL-1β-induced damage through autophagy activation via AKT/mTOR signaling pathway inhibition.

Lu, Jinying / Bian, Jiang / Wang, Yutong / Zhao, Yan / Zhao, Xinmin / Wang, Gao / Yang, Jing

Journal of orthopaedic surgery and research

2024 Volume 19, Issue 1, Page(s) 178

Abstract: Background: Osteoarthritis (OA) is a common degenerative joint disease characterized by persistent articular cartilage degeneration and synovitis. Oxymatrine (OMT) is a quinzolazine alkaloid extracted from the traditional Chinese medicine, matrine, and ... ...

Abstract	Background: Osteoarthritis (OA) is a common degenerative joint disease characterized by persistent articular cartilage degeneration and synovitis. Oxymatrine (OMT) is a quinzolazine alkaloid extracted from the traditional Chinese medicine, matrine, and possesses anti-inflammatory properties that may help regulate the pathogenesis of OA; however, its mechanism has not been elucidated. This study aimed to investigate the effects of OMT on interleukin-1β (IL-1β)-induced damage and the potential mechanisms of action. Methods: Chondrocytes were isolated from Sprague-Dawley rats. Toluidine blue and Collagen II immunofluorescence staining were used to determine the purity of the chondrocytes. Thereafter, the chondrocytes were subjected to IL-1β stimulation, both in the presence and absence of OMT, or the autophagy inhibitor 3-methyladenine (3-MA). Cell viability was assessed using the MTT assay and SYTOX Green staining. Additionally, flow cytometry was used to determine cell apoptosis rate and reactive oxygen species (ROS) levels. The protein levels of AKT, mTOR, LC3, P62, matrix metalloproteinase-13, and collagen II were quantitatively analyzed using western blotting. Immunofluorescence was used to assess LC3 expression. Results: OMT alleviated IL-1β-induced damage in chondrocytes, by increasing the survival rate, reducing the apoptosis rates of chondrocytes, and preventing the degradation of the cartilage matrix. In addition, OMT decreased the ROS levels and inhibited the AKT/mTOR signaling pathway while promoting autophagy in IL-1β treated chondrocytes. However, the effectiveness of OMT in improving chondrocyte viability under IL-1β treatment was limited when autophagy was inhibited by 3-MA. Conclusions: OMT decreases oxidative stress and inhibits the AKT/mTOR signaling pathway to enhance autophagy, thus inhibiting IL-1β-induced damage. Therefore, OMT may be a novel and effective therapeutic agent for the clinical treatment of OA.
MeSH term(s)	Rats ; Animals ; Proto-Oncogene Proteins c-akt/metabolism ; Chondrocytes/metabolism ; Interleukin-1beta/toxicity ; Interleukin-1beta/metabolism ; Osteoarthritis/metabolism ; Reactive Oxygen Species/metabolism ; Rats, Sprague-Dawley ; Signal Transduction ; TOR Serine-Threonine Kinases/metabolism ; Cartilage, Articular/metabolism ; Alkaloids/pharmacology ; Alkaloids/therapeutic use ; Alkaloids/metabolism ; Autophagy ; Collagen/metabolism ; Apoptosis ; Matrines
Chemical Substances	oxymatrine (85U4C366QS) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Interleukin-1beta ; Reactive Oxygen Species ; TOR Serine-Threonine Kinases (EC 2.7.11.1) ; Alkaloids ; Collagen (9007-34-5) ; mTOR protein, rat (EC 2.7.1.1) ; Matrines
Language	English
Publishing date	2024-03-11
Publishing country	England
Document type	Letter
ZDB-ID	2252548-8
ISSN	1749-799X ; 1749-799X
ISSN (online)	1749-799X
ISSN	1749-799X
DOI	10.1186/s13018-024-04667-2
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Article ; Online: Numerical Analysis on the Dynamic Response of PVC Foam/Polyurea Composite Sandwich Panels under the Close Air Blast Loading.

Dai, Kaida / Jiang, Tao / Zhao, Meng / Xu, Yuxin / Zhao, Xiaosong / Bian, Jiang

Polymers

2024 Volume 16, Issue 6

Abstract: This paper explores a novel structure aimed at enhancing its blast resistance performance by adding a layer of polyurea coating to the steel-PVC foam-steel sandwich panel. The response of 13 different arrangements of sandwich panels under explosive ... ...

Abstract	This paper explores a novel structure aimed at enhancing its blast resistance performance by adding a layer of polyurea coating to the steel-PVC foam-steel sandwich panel. The response of 13 different arrangements of sandwich panels under explosive loading was studied using numerical simulation. The response process can be divided into three deformation stages: (1) Fluid-structure interaction; (2) Compression of the sandwich panel; (3) Dynamic structural response. The dynamic responses of the various sandwich panels to close-range air blast loading were analyzed based on the deformation characteristics, deflection, effective plastic strain, energy absorption, and pressure of the shock wave. The study draws the following conclusions: Reasonably adding a layer of polyurea to the traditional PVC foam sandwich panel can enhance its resistance to shock wave absorption, with a maximum increase of 29.8%; the optimal arrangement for explosion resistance is steel plate-PVC foam-polyurea-steel plate when the polyurea is coated on the back; and the best quality ratio between polyurea and PVC foam is 1:7 when the polyurea is coated on the front.
Language	English
Publishing date	2024-03-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym16060810
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Article ; Online: An Opinion on ChatGPT in Health Care-Written by Humans Only.

Kleesiek, Jens / Wu, Yonghui / Stiglic, Gregor / Egger, Jan / Bian, Jiang

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

2023 Volume 64, Issue 5, Page(s) 701–703

MeSH term(s)	Humans ; Delivery of Health Care ; Artificial Intelligence ; Writing
Language	English
Publishing date	2023-04-13
Publishing country	United States
Document type	Editorial
ZDB-ID	80272-4
ISSN	1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
ISSN (online)	1535-5667
ISSN	0097-9058 ; 0161-5505 ; 0022-3123
DOI	10.2967/jnumed.123.265687
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Article: Challenges in Adopting Artificial Intelligence to Improve Healthcare Systems and Outcomes in Thailand.

Pongtriang, Praditporn / Rakhab, Aranya / Bian, Jiang / Guo, Yi / Maitree, Kitkamon

Healthcare informatics research

2023 Volume 29, Issue 3, Page(s) 280–282

Language	English
Publishing date	2023-07-31
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2619923-3
ISSN	2093-369X ; 2093-3681
ISSN (online)	2093-369X
ISSN	2093-3681
DOI	10.4258/hir.2023.29.3.280
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Article ; Online: DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.

Ghosh, Shantanu / Feng, Zheng / Bian, Jiang / Butler, Kevin / Prosperi, Mattia

AMIA ... Annual Symposium proceedings. AMIA Symposium

2023 Volume 2022, Page(s) 485–494

Abstract: Determining causal effects of interventions onto outcomes from real-world, observational (non-randomized) data, e.g., treatment repurposing using electronic health records, is challenging due to underlying bias. Causal deep learning has improved over ... ...

Abstract	Determining causal effects of interventions onto outcomes from real-world, observational (non-randomized) data, e.g., treatment repurposing using electronic health records, is challenging due to underlying bias. Causal deep learning has improved over traditional techniques for estimating individualized treatment effects (ITE). We present the Doubly Robust Variational Information-theoretic Deep Adversarial Learning (DR-VIDAL), a novel generative framework that combines two joint models of treatment and outcome, ensuring an unbiased ITE estimation even when one of the two is misspecified. DR-VIDAL integrates: (i) a variational autoencoder (VAE) to factorize confounders into latent variables according to causal assumptions; (ii) an information-theoretic generative adversarial network (Info-GAN) to generate counterfactuals; (iii) a doubly robust block incorporating treatment propensities for outcome predictions. On synthetic and real-world datasets (Infant Health and Development Program, Twin Birth Registry, and National Supported Work Program), DR-VIDAL achieves better performance than other non-generative and generative methods. In conclusion, DR-VIDAL uniquely fuses causal assumptions, VAE, Info-GAN, and doubly robustness into a comprehensive, per- formant framework. Code is available at: https://github.com/Shantanu48114860/DR-VIDAL-AMIA-22 under MIT license.
MeSH term(s)	Humans ; Prognosis ; Electronic Health Records ; Causality
Language	English
Publishing date	2023-04-29
Publishing country	United States
Document type	Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
ISSN	1942-597X
ISSN (online)	1942-597X
Database	MEDical Literature Analysis and Retrieval System OnLINE

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