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Article ; Online: Ankyrons: There Might Be a "Gold Mine" for Students, Scientists, and Clinicians.

Li, Yingbo / Wang, Junfeng

Chemical & biomedical imaging

2024 Volume 2, Issue 3, Page(s) 165–167

Language	English
Publishing date	2024-02-02
Publishing country	United States
Document type	Journal Article
ISSN	2832-3637
ISSN (online)	2832-3637
DOI	10.1021/cbmi.4c00004
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Calibration slope versus discrimination slope: shoes on the wrong feet.

Wang, Junfeng

Journal of clinical epidemiology

2020 Volume 125, Page(s) 161–162

MeSH term(s)	Calibration ; Foot ; Humans ; Shoes
Language	English
Publishing date	2020-06-04
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	639306-8
ISSN	1878-5921 ; 0895-4356
ISSN (online)	1878-5921
ISSN	0895-4356
DOI	10.1016/j.jclinepi.2020.06.002
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Uh III Zs.206: Show issues

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Article ; Online: Site-specifically radiolabeled nanobodies for imaging blood-brain barrier penetration and targeting in the brain.

Li, Yingbo / Wang, Junfeng

Journal of labelled compounds & radiopharmaceuticals

2023 Volume 66, Issue 14, Page(s) 444–451

Abstract: Nanobodies (Nbs) hold significant potential in molecular imaging due to their unique characteristics. However, there are challenges to overcome when it comes to brain imaging. To address these obstacles, collaborative efforts and interdisciplinary ... ...

Abstract	Nanobodies (Nbs) hold significant potential in molecular imaging due to their unique characteristics. However, there are challenges to overcome when it comes to brain imaging. To address these obstacles, collaborative efforts and interdisciplinary research are needed. This article aims to raise awareness and encourage collaboration among researchers from various fields to find solutions for effective brain imaging using Nbs. By fostering cooperation and knowledge sharing, we can make progress in overcoming the existing limitations and pave the way for improved molecular imaging techniques in the future.
MeSH term(s)	Single-Domain Antibodies/metabolism ; Blood-Brain Barrier/diagnostic imaging ; Blood-Brain Barrier/metabolism ; Molecular Imaging/methods
Chemical Substances	Single-Domain Antibodies
Language	English
Publishing date	2023-10-24
Publishing country	England
Document type	Journal Article ; Review ; Research Support, N.I.H., Extramural
ZDB-ID	196095-7
ISSN	1099-1344 ; 0362-4803 ; 0022-2135
ISSN (online)	1099-1344
ISSN	0362-4803 ; 0022-2135
DOI	10.1002/jlcr.4069
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Article ; Online: ZMIZ1 Regulates Proliferation, Autophagy and Apoptosis of Colon Cancer Cells by Mediating Ubiquitin-Proteasome Degradation of SIRT1.

Huang, Min / Wang, Junfeng / Zhang, Zhengrong / Zuo, Xueliang

Biochemical genetics

2024

Abstract: There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. ... ...

Abstract	There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. Specific shRNA transfection was used to knock down the expression of ZMIZ1 in colon cancer cell lines (HCT116 and HT29), and cell proliferation was detected using EdU and CCK-8 reagents, apoptosis by flow cytometry, and autophagy by western blot. The interaction of ZMIZ1 and SIRT1 was analyzed. Knockdown of ZMIZ1 significantly inhibited autophagy and proliferation, and induced apoptosis of HCT116 and HT29 cells. The mRNA level of SIRT1 was not affected by ZMIZ1 knockdown, but the protein level of SIRT1 was significantly decreased and the protein level of the SIRT1-specific substrate, acetylated FOXO3a, was reduced. Immunoprecipitation assays identified the interaction between SIRT1 and ZMIZ1 in HCT116 and HT29 cells. ZMIZ1 increased intracellular ubiquitination of SIRT1. Knockdown or pharmacological inhibition of SIRT1 neutralized the effects of ZMIZ knockdown on proliferation, autophagy and apoptosis in HCT116 and HT29 cells. ZMIZ1 may control the fate of colon cancer cells through the SIRT1/FOXO3a axis. Targeting ZMIZ1 would be beneficial for the treatment of colon cancer.
Language	English
Publishing date	2024-01-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2168-4
ISSN	1573-4927 ; 0006-2928
ISSN (online)	1573-4927
ISSN	0006-2928
DOI	10.1007/s10528-023-10573-9
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Article ; Online: Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences.

Liu, Yong / Ju, Shenggen / Wang, Junfeng

BMC medical informatics and decision making

2024 Volume 24, Issue 1, Page(s) 75

Abstract: Background: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially crucial, enabling remote ... ...

Abstract	Background: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially crucial, enabling remote screenings and access to healthcare services while maintaining social distancing. Online consultation platforms have emerged, but the demand has strained the availability of medical professionals, directly leading to research and development in automated medical consultation. Specifically, there is a need for efficient and accurate medical dialogue summarization algorithms to condense lengthy conversations into shorter versions focused on relevant medical facts. The success of large language models like generative pre-trained transformer (GPT)-3 has recently prompted a paradigm shift in natural language processing (NLP) research. In this paper, we will explore its impact on medical dialogue summarization. Methods: We present the performance and evaluation results of two approaches on a medical dialogue dataset. The first approach is based on fine-tuned pre-trained language models, such as bert-based summarization (BERTSUM) and bidirectional auto-regressive Transformers (BART). The second approach utilizes a large language models (LLMs) GPT-3.5 with inter-context learning (ICL). Evaluation is conducted using automated metrics such as ROUGE and BERTScore. Results: In comparison to the BART and ChatGPT models, the summaries generated by the BERTSUM model not only exhibit significantly lower ROUGE and BERTScore values but also fail to pass the testing for any of the metrics in manual evaluation. On the other hand, the BART model achieved the highest ROUGE and BERTScore values among all evaluated models, surpassing ChatGPT. Its ROUGE-1, ROUGE-2, ROUGE-L, and BERTScore values were 14.94%, 53.48%, 32.84%, and 6.73% higher respectively than ChatGPT's best results. However, in the manual evaluation by medical experts, the summaries generated by the BART model exhibit satisfactory performance only in the "Readability" metric, with less than 30% passing the manual evaluation in other metrics. When compared to the BERTSUM and BART models, the ChatGPT model was evidently more favored by human medical experts. Conclusion: On one hand, the GPT-3.5 model can manipulate the style and outcomes of medical dialogue summaries through various prompts. The generated content is not only better received than results from certain human experts but also more comprehensible, making it a promising avenue for automated medical dialogue summarization. On the other hand, automated evaluation mechanisms like ROUGE and BERTScore fall short in fully assessing the outputs of large language models like GPT-3.5. Therefore, it is necessary to research more appropriate evaluation criteria.
MeSH term(s)	Humans ; Pandemics ; Algorithms ; Benchmarking ; COVID-19 ; Communication
Language	English
Publishing date	2024-03-14
Publishing country	England
Document type	Journal Article
ZDB-ID	2046490-3
ISSN	1472-6947 ; 1472-6947
ISSN (online)	1472-6947
ISSN	1472-6947
DOI	10.1186/s12911-024-02481-8
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Article ; Online: Recent Advances in the Total Synthesis of Spirotryprostatin Alkaloids.

Hu, Jing / Niu, Zhen-Xi / Wang, Jun-Feng

Molecules (Basel, Switzerland)

2024 Volume 29, Issue 7

Abstract: Spirotryprostatin alkaloids, a class of alkaloids with a unique spirocyclic indoledionepiperazine structure, were first extracted from the fermentation broth of Aspergillus fumigatus and have garnered significant attention in the fields of biology and ... ...

Abstract	Spirotryprostatin alkaloids, a class of alkaloids with a unique spirocyclic indoledionepiperazine structure, were first extracted from the fermentation broth of Aspergillus fumigatus and have garnered significant attention in the fields of biology and pharmacology. The investigation into the pharmacological potential of this class of alkaloids has unveiled promising applications in drug discovery and development. Notably, certain spirotryprostatin alkaloids have demonstrated remarkable anti-cancer activity, positioning them as potential candidates for anti-tumor drug development. In recent years, organic synthetic chemists have dedicated efforts to devise efficient and viable strategies for the total synthesis of spirotryprostatin alkaloids, aiming to meet the demands within the pharmaceutical domain. The construction of the spiro-C atom within the spirotryprostatin scaffold and the chirality control at the spiro atomic center emerge as pivotal aspects in the synthesis of these compounds. This review categorically delineates the synthesis of spirotryprostatin alkaloids based on the formation mechanism of the spiro-C atom.
MeSH term(s)	Fermentation ; Alkaloids ; Aspergillus fumigatus ; Drug Discovery
Chemical Substances	Alkaloids
Language	English
Publishing date	2024-04-07
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules29071655
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Article: PB1F2 from Influenza A Virus Regulates the Interaction between Cytochrome C and Cardiolipin.

Wang, Yujuan / Wang, Junfeng

Membranes

2022 Volume 12, Issue 8

Abstract: PB1F2 is a membrane associated protein encoded by the influenza virus gene in the host. Similar to endogenous pro-apoptotic proteins, it acts on the mitochondria of the host immune cells, inducing apoptosis of the cells. The PB1F2 protein has been ... ...

Abstract	PB1F2 is a membrane associated protein encoded by the influenza virus gene in the host. Similar to endogenous pro-apoptotic proteins, it acts on the mitochondria of the host immune cells, inducing apoptosis of the cells. The PB1F2 protein has been demonstrated to facilitate the release of cytochrome c in addition to impairing the integrity of the inner mitochondrial membrane. This investigation focused on how the protein PB1F2 interacted with cardiolipin and cytochrome c. The regulation of PB1F2 on the binding of cytochrome c to cardiolipin in two kinds of in vitro membrane mimics was investigated by biophysical techniques. PB1F2 aids in the dissociation of cytochrome c-cardiolipin complexes in liposomes and nanodiscs. The results provide novel explanations and evidence for how PB1F2 functions as a viral virulence factor by inducing immune cell death.
Language	English
Publishing date	2022-08-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2614641-1
ISSN	2077-0375
ISSN	2077-0375
DOI	10.3390/membranes12080795
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Article ; Online: Direct Measurement of Aerosol Liquid Water Content: A Case Study in Summer in Nanjing, China.

Li, Daoming / Cui, Shijie / Wu, Yun / Wang, Junfeng / Ge, Xinlei

Toxics

2024 Volume 12, Issue 3

Abstract: Aerosol liquid water content (ALWC) affects the mass loading, optical properties, and toxicity of aerosols. However, the measurement of ALWC is very rare due to its requirement of sophisticated instruments and its high operational costs. In this work, we ...

Abstract	Aerosol liquid water content (ALWC) affects the mass loading, optical properties, and toxicity of aerosols. However, the measurement of ALWC is very rare due to its requirement of sophisticated instruments and its high operational costs. In this work, we improved on our previous simple, low-cost method by using a combination of one real-time fine particulate matter (PM
Language	English
Publishing date	2024-02-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2733883-6
ISSN	2305-6304 ; 2305-6304
ISSN (online)	2305-6304
ISSN	2305-6304
DOI	10.3390/toxics12030164
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Article ; Online: Contributions of collagen and elastin to elastic behaviours of tendon fascicle.

Ishizaki, Yusei / Wang, Junfeng / Kim, Jeonghyun / Matsumoto, Takeo / Maeda, Eijiro

Acta biomaterialia

2024 Volume 176, Page(s) 334–343

Abstract: Tendon exhibits the capacity to be stretched and to return to its original length without suffering structural damage in vivo, a capacity known as elastic recoil. Collagen fibres are aligned longitudinally and elastin fibres mostly run parallel to ... ...

Abstract	Tendon exhibits the capacity to be stretched and to return to its original length without suffering structural damage in vivo, a capacity known as elastic recoil. Collagen fibres are aligned longitudinally and elastin fibres mostly run parallel to collagen fibres in tendon. However, their interactions and contributions to tendon elastic behaviours are not well understood. The present study examined functional roles of collagen and elastin in tendon elastic behaviours using a variety of mechanical tests. We prepared three types of fascicle specimens from mouse tail tendon: fascicles freshly isolated, those digested with elastase in PBS to selectively remove elastin, and those incubated in PBS without elastase. A quasi-static tensile test demonstrated that elastase-treated fascicles had higher tangent moduli and strength compared to fresh and PBS fascicles. Cyclic stretching tests showed that fresh and PBS fascicles could withstand cyclic strain at both small and large amplitudes, but elastase-treated fascicles could only behave elastically to a limited degree. Fibre-sliding analysis revealed that fresh fascicles could be elongated both through stretching of collagen fibers and through movement of the fibres. However, elastase-treated fascicles could be stretched only via fibre stretching. This evidence suggests that normal tendons can be extended through both fibre stretching and fibre sliding, whereas tendons without elastin can only extend as much as collagen fibers can withstand. Accordingly, collagen fibres mainly contribute to tendon elastic behaviours by furnishing rigidity and elasticity, whereas elastin provides tendon viscoelasticity and also enables sliding of collagen fibres during elastic behaviours. STATEMENT OF SIGNIFICANCE: The present study revealed distinct mechanical functions of collagen and elastin fibres in elastic behaviours of mouse tail tendon fascicle using a variety of mechanical tests at both microscopic and macroscopic levels. It was demonstrated that collagen mainly governs tendon fascicle rigidity and elasticity, but only possesses limited extensibility, whereas elastin contributes to viscoelasticity and collagen fibre sliding, enabling elastic recoil behaviour against relatively large deformation. By their interactions, tendon can be elongated without suffering major structural damage and withstand a large magnitude of tensile force in response to mechanical loading. Such information should be particularly useful in designing collagen-based biomaterials such as artificial tendons, in that previous studies have merely considered collagen without incorporation of elastin.
MeSH term(s)	Mice ; Animals ; Collagen/metabolism ; Elastin/metabolism ; Extracellular Matrix/metabolism ; Pancreatic Elastase/analysis ; Pancreatic Elastase/metabolism ; Tendons/physiology ; Stress, Mechanical
Chemical Substances	Collagen (9007-34-5) ; Elastin (9007-58-3) ; Pancreatic Elastase (EC 3.4.21.36)
Language	English
Publishing date	2024-01-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2173841-5
ISSN	1878-7568 ; 1742-7061
ISSN (online)	1878-7568
ISSN	1742-7061
DOI	10.1016/j.actbio.2024.01.014
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Article ; Online: DFUSNN: zero-shot dual-domain fusion unsupervised neural network for parallel MRI reconstruction.

Chen, Shengyi / Duan, Jizhong / Ren, Xinmin / Wang, Junfeng / Liu, Yu

Physics in medicine and biology

2024

Abstract: Objective: Recently, deep learning models have been used to reconstruct parallel magnetic resonance (MR) images from undersampled k-space data. However, most existing approaches depend on large databases of fully sampled MR data for training, which can ... ...

Abstract	Objective: Recently, deep learning models have been used to reconstruct parallel magnetic resonance (MR) images from undersampled k-space data. However, most existing approaches depend on large databases of fully sampled MR data for training, which can be challenging or sometimes infeasible to acquire in certain scenarios. The goal is to develop an effective alternative for improved reconstruction quality that does not rely on external training datasets. Approach: We introduce a novel zero-shot dual-domain fusion unsupervised neural network (DFUSNN) for parallel MR imaging reconstruction without any external training datasets. We employ the Noise2Noise (N2N) network for the reconstruction in the k-space domain, integrates phase and coil sensitivity smoothness priors into the k-space N2N network, and uses an early stopping criterion to prevent overfitting. Additionally, we propose a dual-domain fusion method based on Bayesian optimization to enhance reconstruction quality efficiently. Results: Simulation experiments conducted on three datasets with different undersampling patterns showed that the DFUSNN outperforms all other competing unsupervised methods and the one-shot Hankel-k-space generative model (HKGM). The DFUSNN also achieves comparable results to the supervised Deep-SLR method. Significance: The novel DFUSNN model offers a viable solution for reconstructing high quality MR images without the need for external training datasets, thereby overcoming a major hurdle in scenarios where acquiring fully sampled MR data is difficult.
Language	English
Publishing date	2024-04-11
Publishing country	England
Document type	Journal Article
ZDB-ID	208857-5
ISSN	1361-6560 ; 0031-9155
ISSN (online)	1361-6560
ISSN	0031-9155
DOI	10.1088/1361-6560/ad3dbc
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