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  1. Article ; Online: The immunometabolic function of VGLL3 and female-biased autoimmunity.

    Kennicott, Kameron / Liang, Yun

    Immunometabolism (Cobham, Surrey)

    2024  Volume 6, Issue 2, Page(s) e00041

    Abstract: Autoimmune diseases exhibit a pronounced yet unexplained prevalence among women. Vestigial-like family member 3 (VGLL3), a female-biased factor that promotes autoimmunity, has recently been discovered to assist cells in sensing and adapting to ... ...

    Abstract Autoimmune diseases exhibit a pronounced yet unexplained prevalence among women. Vestigial-like family member 3 (VGLL3), a female-biased factor that promotes autoimmunity, has recently been discovered to assist cells in sensing and adapting to nutritional stress. This role of VGLL3 may confer a selective advantage during the evolution of placental mammals. However, the excessive activation of the VGLL3-mediated energy-sensing pathway can trigger inflammatory cell death and the exposure of self-antigens, leading to the onset of autoimmunity. These observations have raised the intriguing perspective that nutrient sensing serves as a double-edged sword in immune regulation. Mechanistically, VGLL3 intersects with Hippo signaling and activates multiple downstream, immune-associated genes that play roles in metabolic regulation. Understanding the multifaceted roles of VGLL3 in nutrient sensing and immune modulation provides insight into the fundamental question of sexual dimorphism in immunometabolism and sheds light on potential therapeutic targets for autoimmune diseases.
    Language English
    Publishing date 2024-05-08
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2633-0407
    ISSN (online) 2633-0407
    DOI 10.1097/IN9.0000000000000041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Interpretation on the Chinese Guideline for Diagnosis and Treatment of Neuroendocrine Neoplasms from The China Anti-Cancer Association(2022)

    LIANG Yun / WU Wenming / NIE Yongzhan / CHEN Jie

    Xiehe Yixue Zazhi, Vol 14, Iss 1, Pp 94-

    2023  Volume 100

    Abstract: Neuroendocrine neoplasms (NENs) are a group of malignancies arising from neuroendocrine cells and peptidergic neurons. The high heterogeneity of NENs leads to challenges and complexities in its diagnosis and treatment. Experts from relevant disciplines ... ...

    Abstract Neuroendocrine neoplasms (NENs) are a group of malignancies arising from neuroendocrine cells and peptidergic neurons. The high heterogeneity of NENs leads to challenges and complexities in its diagnosis and treatment. Experts from relevant disciplines were convened by the Society of Neuroendocrine neoplasm of China Anti-Cancer Association to develop this first edition of the Chinese Guideline for diagnosis and treatment of NENs (2022) based on existing evidence combined with domestic and international guidelines and consensus. In this article, we summarize the important contents of this guideline and make further discussion on some controversial issues, with the aim to provide treatment reference in clinical practice.
    Keywords neuroendocrine neoplasms ; diagnosis ; treatment ; guideline ; interpretation ; Medicine ; R
    Language Chinese
    Publishing date 2023-01-01T00:00:00Z
    Publisher Editorial Office of Medical Journal of Peking Union Medical College Hospital
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online ; Thesis: Emerging threats to the stability of soil aggregates

    Liang, Yun [Verfasser]

    2021  

    Author's details Yun Liang
    Keywords Landwirtschaft, Veterinärmedizin ; Agriculture, Veterinary Science
    Subject code sg630
    Language English
    Publisher Freie Universität Berlin
    Publishing place Berlin
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  4. Article ; Online: Universal or Personalized Mesenchymal Stem Cell Therapies: Impact of Age, Sex, and Biological Source.

    Carp, Diana M / Liang, Yun

    Cells

    2022  Volume 11, Issue 13

    Abstract: Mesenchymal stem/stromal cells (MSCs) hold great promise for the treatment of autoimmune conditions given their immunomodulatory properties. Based on the low immunogenicity of MSCs, it is tempting to consider the expansion of MSCs from a "universal donor" ...

    Abstract Mesenchymal stem/stromal cells (MSCs) hold great promise for the treatment of autoimmune conditions given their immunomodulatory properties. Based on the low immunogenicity of MSCs, it is tempting to consider the expansion of MSCs from a "universal donor" in culture prior to their allogeneic applications for immediate care. This raises the critical question of the criteria we should use to select the best "universal donor". It is also imperative we compare the "universal" approach with a "personalized" one for clinical value. In addition to the call for MHC-matching, recent studies suggest that factors including age, sex, and biological sources of MSCs can have significant impact on therapy outcome. Here, we will review findings from these studies, which shed light on the variables that can guide the important choice of "universal" or "personalized" MSC therapy for autoimmune diseases.
    MeSH term(s) Autoimmune Diseases/therapy ; Humans ; Immunomodulation ; Mesenchymal Stem Cells
    Language English
    Publishing date 2022-06-30
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2661518-6
    ISSN 2073-4409 ; 2073-4409
    ISSN (online) 2073-4409
    ISSN 2073-4409
    DOI 10.3390/cells11132077
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Oceanic impacts on 50–80-day intraseasonal oscillation in the eastern tropical Indian Ocean

    Liang, Yun / Du, Yan

    Climate dynamics. 2022 Sept., v. 59, no. 5-6

    2022  

    Abstract: In this study, daily outgoing longwave radiation (OLR) product is used to detect the atmospheric intraseasonal oscillation (ISO) in the eastern tropical Indian Ocean (TIO). A 50–80-day ISO is identified south of the equator, peaking in boreal winter and ... ...

    Abstract In this study, daily outgoing longwave radiation (OLR) product is used to detect the atmospheric intraseasonal oscillation (ISO) in the eastern tropical Indian Ocean (TIO). A 50–80-day ISO is identified south of the equator, peaking in boreal winter and propagating eastward. The mechanisms underneath are investigated using observational data and reanalysis products. The results suggest that the 50–80-day atmospheric ISO is enhanced by ocean dynamic processes during December–January. Monsoon transition in October–November causes large wind variability along the equator. Equatorial sea surface height/thermocline anomalies appear off Sumatra due to the accumulative effects of the wind variability, leading the atmospheric 50–80-day ISO by ~ 5–6 weeks. The wind-driven ocean equatorial dynamics are reflected from the Sumatra coast as downwelling oceanic Rossby waves, which deepen the thermocline and contribute to the SST warming in the southeastern TIO, affecting local atmospheric conditions. It offers insights into the role of ocean dynamics in the intensification of 50–80-day atmospheric ISOs over the eastern TIO and explains the seasonal peak of the eastward-propagating ISO during boreal winter. These results have implications for intraseasonal predictability.
    Keywords climate ; coasts ; dynamics ; intraseasonal oscillation ; monsoon season ; observational studies ; terrestrial radiation ; wind ; winter ; Indian Ocean ; Indonesia
    Language English
    Dates of publication 2022-09
    Size p. 1283-1296.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 1471747-5
    ISSN 1432-0894 ; 0930-7575
    ISSN (online) 1432-0894
    ISSN 0930-7575
    DOI 10.1007/s00382-021-06041-y
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Prognostic Nutritional Index Associates with the Severity of Silicosis: A Study from a Tertiary Class A Prevention and Treatment Institute for Occupational Diseases in China.

    He, La Gu / Liang, Yun Lai / Yang, Lu Qi / Yuan, Hua Min

    Biomedical and environmental sciences : BES

    2024  Volume 37, Issue 1, Page(s) 122–126

    MeSH term(s) Humans ; Nutrition Assessment ; Prognosis ; Silicosis/prevention & control ; Occupational Diseases ; China/epidemiology ; Occupational Exposure ; Silicon Dioxide
    Chemical Substances Silicon Dioxide (7631-86-9)
    Language English
    Publishing date 2024-02-07
    Publishing country China
    Document type Letter
    ZDB-ID 645083-0
    ISSN 2214-0190 ; 0895-3988
    ISSN (online) 2214-0190
    ISSN 0895-3988
    DOI 10.3967/bes2024.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Causal interactions in brain networks predict pain levels in trigeminal neuralgia.

    Liang, Yun / Zhao, Qing / Neubert, John K / Ding, Mingzhou

    Brain research bulletin

    2024  Volume 211, Page(s) 110947

    Abstract: Trigeminal neuralgia (TN) is a highly debilitating facial pain condition. Magnetic resonance imaging (MRI) is the main method for generating insights into the central mechanisms of TN pain in humans. Studies have found both structural and functional ... ...

    Abstract Trigeminal neuralgia (TN) is a highly debilitating facial pain condition. Magnetic resonance imaging (MRI) is the main method for generating insights into the central mechanisms of TN pain in humans. Studies have found both structural and functional abnormalities in various brain structures in TN patients as compared with healthy controls. Whereas studies have also examined aberrations in brain networks in TN, no studies have to date investigated causal interactions in these brain networks and related these causal interactions to the levels of TN pain. We recorded fMRI data from 39 TN patients who either rested comfortably in the scanner during the resting state session or tracked their pain levels during the pain tracking session. Applying Granger causality to analyze the data and requiring consistent findings across the two scanning sessions, we found 5 causal interactions, including: (1) Thalamus → dACC, (2) Caudate → Inferior temporal gyrus, (3) Precentral gyrus → Inferior temporal gyrus, (4) Supramarginal gyrus → Inferior temporal gyrus, and (5) Bankssts → Inferior temporal gyrus, that were consistently associated with the levels of pain experienced by the patients. Utilizing these 5 causal interactions as predictor variables and the pain score as the predicted variable in a linear multiple regression model, we found that in both pain tracking and resting state sessions, the model was able to explain ∼36 % of the variance in pain levels, and importantly, the model trained on the 5 causal interaction values from one session was able to predict pain levels using the 5 causal interaction values from the other session, thereby cross-validating the models. These results, obtained by applying novel analytical methods to neuroimaging data, provide important insights into the pathophysiology of TN and could inform future studies aimed at developing innovative therapies for treating TN.
    MeSH term(s) Humans ; Trigeminal Neuralgia/physiopathology ; Trigeminal Neuralgia/diagnostic imaging ; Female ; Male ; Magnetic Resonance Imaging/methods ; Middle Aged ; Brain/diagnostic imaging ; Brain/physiopathology ; Aged ; Adult ; Brain Mapping/methods ; Nerve Net/diagnostic imaging ; Nerve Net/physiopathology ; Pain/physiopathology ; Pain/diagnostic imaging ; Neural Pathways/physiopathology ; Neural Pathways/diagnostic imaging
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 197620-5
    ISSN 1873-2747 ; 0361-9230
    ISSN (online) 1873-2747
    ISSN 0361-9230
    DOI 10.1016/j.brainresbull.2024.110947
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Benzo[a]pyrene Exposure Reduces Cell-Type Diversity and Stimulates Sex-Biased Damage Pathways in End Organs of Lupus-Prone Mice.

    Zhu, Runqi / Kennicott, Kameron / Liang, Yun

    International journal of molecular sciences

    2023  Volume 24, Issue 7

    Abstract: Studies indicate that genetic factors only account for approximately thirty percent of all autoimmune diseases, while the rest of autoimmune pathogenesis is attributed to environmental factors including toxic chemicals. To understand if and how ... ...

    Abstract Studies indicate that genetic factors only account for approximately thirty percent of all autoimmune diseases, while the rest of autoimmune pathogenesis is attributed to environmental factors including toxic chemicals. To understand if and how environmental pollutants trigger autoimmunity, we investigated the effect of benzo[a]pyrene (BaP) exposure on the development of autoimmune phenotypes in the lupus-prone MRL strain. The exposure of MRL mice to BaP over the course of 8 weeks before lupus onset resulted in total body weight loss in males, while marginal changes in anti-dsDNA levels occurred. Multi-organ analyses of BaP-treated and control MRL mice suggested that the kidney is a major organ directly affected by the metabolism of benzene-containing compounds, with increased expression of BaP-target genes including
    MeSH term(s) Mice ; Male ; Female ; Animals ; Benzo(a)pyrene/toxicity ; Kidney ; Gene Expression Profiling ; Renal Insufficiency ; Spleen
    Chemical Substances Benzo(a)pyrene (3417WMA06D)
    Language English
    Publishing date 2023-03-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24076163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Decoding fMRI Data: A Comparison Between Support Vector Machines and Deep Neural Networks.

    Liang, Yun / Bo, Ke / Meyyappan, Sreenivasan / Ding, Mingzhou

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Multivoxel pattern analysis (MVPA) examines the differences in fMRI activation patterns associated with different cognitive conditions and provides information not possible with the conventional univariate analysis. Support vector machines (SVMs) are the ...

    Abstract Multivoxel pattern analysis (MVPA) examines the differences in fMRI activation patterns associated with different cognitive conditions and provides information not possible with the conventional univariate analysis. Support vector machines (SVMs) are the predominant machine learning method in MVPA. SVMs are intuitive and easy to apply. The limitation is that it is a linear method and mainly suitable for analyzing data that are linearly separable. Convolutional neural networks (CNNs), a class of AI models originally developed for object recognition, are known to have the ability to approximate nonlinear relationships. CNNs are rapidly becoming an alternative to SVMs. The purpose of this study is to compare the two methods when they are applied to the same datasets. Two datasets were considered: (1) fMRI data collected from participants during a cued visual spatial attention task (the attention dataset) and (2) fMRI data collected from participants viewing natural images containing varying degrees of affective content (the emotion dataset). We found that (1) both SVM and CNN are able to achieve above chance level decoding accuracies for attention control and emotion processing in both the primary visual cortex and the whole brain with, (2) the CNN decoding accuracies are consistently higher than that of the SVM, (3) the SVM and CNN decoding accuracies are generally not correlated with each other, and (4) the heatmaps derived from SVM and CNN are not significantly overlapping. These results suggest that (1) there are both linearly separable features and nonlinearly separable features in fMRI data that distinguish cognitive conditions and (2) applying both SVM and CNN to the same data may yield a more comprehensive understanding of neuroimaging data.
    Key points: We compared the performance and characteristics of SVM and CNN, two major methods in MVPA analysis of neuroimaging data, by applying them to the same two fMRI datasets.Both SVM and CNN achieved decoding accuracies above chance level for both datasets in the chosen ROIs and the CNN decoding accuracies were consistently higher than those of SVM.The heatmaps derived from SVM and CNN, which assess the contribution of voxels or brain regions to MVPA decoding performance, showed no significant overlap, providing evidence that the two methods depend on distinct brain activity patterns for decoding cognitive conditions.
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.05.30.542882
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A study on the effectiveness of comprehensive nursing care for patients with depression and suicidal behavior.

    Liang, Yun / Chi, Lisi / Wang, Jieqiong

    Minerva surgery

    2023  Volume 79, Issue 2, Page(s) 268–270

    MeSH term(s) Humans ; Suicidal Ideation ; Depression/epidemiology ; Patients ; Comprehensive Health Care
    Language English
    Publishing date 2023-10-18
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 3067899-7
    ISSN 2724-5438
    ISSN (online) 2724-5438
    DOI 10.23736/S2724-5691.23.10066-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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