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  1. Article ; Online: Changes of B cell subsets in different types of diabetes and its effect on the progression of latent autoimmune diabetes in adults.

    Wu, Peihao / Song, Yingxiang / Chen, Zhuo / Xia, Jun / Zhou, Yu

    Endocrine

    2023  Volume 83, Issue 3, Page(s) 624–635

    Abstract: Purpose: Developmental abnormalities in B cells is one of the key players in autoimmune diabetes, but little is known about its role in latent autoimmune diabetes in adults (LADA). This study aimed to investigate the distribution of B cell subsets in ... ...

    Abstract Purpose: Developmental abnormalities in B cells is one of the key players in autoimmune diabetes, but little is known about its role in latent autoimmune diabetes in adults (LADA). This study aimed to investigate the distribution of B cell subsets in different types of diabetes and to analyze their correlations with other biochemical parameters.
    Methods: A total of 140 participants were prospectively enrolled from January 2021 to December 2022. Diabetes-related autoantibodies and laboratory indicators were tested. Flow cytometry was used to analyze the percentage of circulating B cell subsets and T follicular cells. The correlation of B cell subsets with different indicators was assessed by Spearman's correlation method.
    Results: We observed that the Naïve phenotype cells tended to be less frequent in patients with diabetes than in healthy controls. The frequency of plasmablasts (PB) and Breg cell-related phenotype (B10) were significantly higher in LADA. Notably, the percentage of PB was positively associated with levels of islet cell antibody (ICA) and insulin autoantibody (IAA), but inversely associated with fasting C-peptide (FCP), further indicating that PB may promote the destruction of β-cell in patients with diabetes.
    Conclusions: This study showed that patients with LADA had significantly altered frequencies of B cell subsets, particularly in the naïve to memory B cell ratio. Our study provided valuable information on the distribution characteristics of B cell subsets in LADA and suggested the feasibility of B-cell targeted therapy in LADA patients.
    MeSH term(s) Adult ; Humans ; Latent Autoimmune Diabetes in Adults ; B-Lymphocyte Subsets ; Diabetes Mellitus, Type 1/genetics ; Autoantibodies ; T-Lymphocytes ; Glucose Intolerance ; Glutamate Decarboxylase
    Chemical Substances Autoantibodies ; Glutamate Decarboxylase (EC 4.1.1.15)
    Language English
    Publishing date 2023-09-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1194484-5
    ISSN 1559-0100 ; 1355-008X ; 0969-711X
    ISSN (online) 1559-0100
    ISSN 1355-008X ; 0969-711X
    DOI 10.1007/s12020-023-03539-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Evaluating the diversity of circulating natural killer cells between active tuberculosis and latent tuberculosis infection.

    Zhou, Yu / Lan, Haiping / Shi, Hanlu / Wu, Peihao / Zhou, Yonglie

    Tuberculosis (Edinburgh, Scotland)

    2022  Volume 135, Page(s) 102221

    Abstract: Tuberculosis (TB) is a leading global public health problem; however, the mechanisms underlying the immunopathology of TB progression are not well understood. It is currently believed that Mycobacterium tuberculosis (Mtb) infection can modify natural ... ...

    Abstract Tuberculosis (TB) is a leading global public health problem; however, the mechanisms underlying the immunopathology of TB progression are not well understood. It is currently believed that Mycobacterium tuberculosis (Mtb) infection can modify natural killer (NK) cell phenotypic signatures. Hence, our study was designed to investigate the diversity of circulating NK cells in patients with different TB infection status. NK subsets, as well as their expression of activating and inhibitory receptors between active TB (ATB) and latent TB infection (LTBI) were evaluated. There were significant differences in NK cell phenotypes between ATB, LTBI and healthy controls. Notably, the proportion of KLRG1 in NK cells (P = 0.036), as well as in their subsets CD56
    MeSH term(s) Humans ; Killer Cells, Natural ; Latent Tuberculosis ; Mycobacterium tuberculosis ; Tuberculosis
    Language English
    Publishing date 2022-05-30
    Publishing country Scotland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046804-0
    ISSN 1873-281X ; 1472-9792
    ISSN (online) 1873-281X
    ISSN 1472-9792
    DOI 10.1016/j.tube.2022.102221
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Host biomarkers other than interferon gamma in QFT-TB supernatants for identifying active tuberculosis.

    Zhou, Yu / Zhang, Fujie / Shi, Hanlu / Wu, Peihao / Zhou, Yonglie

    Tuberculosis (Edinburgh, Scotland)

    2022  Volume 136, Page(s) 102256

    Abstract: Interferon gamma release assays (IGRAs) for tuberculosis (TB) remain limited in their ability to discriminate between active TB (ATB) and latent TB infection (LTBI). The objective of our study was to evaluate the value of additional cytokines/chemokines ... ...

    Abstract Interferon gamma release assays (IGRAs) for tuberculosis (TB) remain limited in their ability to discriminate between active TB (ATB) and latent TB infection (LTBI). The objective of our study was to evaluate the value of additional cytokines/chemokines other than interferon gamma (IFN-γ) as biomarkers to identify different TB infection status. A total of 128 subjects were enrolled to detect the quantification of IL-2, IP-10, MCP-1 and RANTES in the supernatants of QuantiFERON®-TB (QFT-TB). Area under the curve (AUC) was used to evaluate the diagnostic efficiency. Notably, Mycobacterium tuberculosis (Mtb) induced cytokines/chemokines of ATB patients were significantly higher than those of the LTBI, other lung related diseases (ORD) and healthy controls (HC). Moreover, ROC analysis indicated that all cytokine/chemokine parameters detected were more capable of distinguishing ATB from LTBI than IFN-γ, especially IL-2. The diagnostic model including TB specific IL-2 and RANTES improved the performance in distinguishing ATB from LTBI, which was superior to single cytokines/chemokines in QFT-TB supernatants. Our results suggest that the combination of Mtb specific cytokines/chemokines has great prospects in the diagnosis of ATB, and the diagnostic model based on IL-2 and RANTES can be used as an alternative to distinguish ATB from LTBI.
    MeSH term(s) Biomarkers ; Chemokine CCL5 ; Chemokine CXCL10 ; Cytokines ; Humans ; Interferon-gamma ; Interferon-gamma Release Tests ; Interleukin-2 ; Latent Tuberculosis/diagnosis ; Mycobacterium tuberculosis ; Tuberculosis/diagnosis ; Tuberculosis/microbiology
    Chemical Substances Biomarkers ; Chemokine CCL5 ; Chemokine CXCL10 ; Cytokines ; Interleukin-2 ; Interferon-gamma (82115-62-6)
    Language English
    Publishing date 2022-09-07
    Publishing country Scotland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046804-0
    ISSN 1873-281X ; 1472-9792
    ISSN (online) 1873-281X
    ISSN 1472-9792
    DOI 10.1016/j.tube.2022.102256
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Improving Contextual Representation with Gloss Regularized Pre-training

    Lin, Yu / An, Zhecheng / Wu, Peihao / Ma, Zejun

    2022  

    Abstract: Though achieving impressive results on many NLP tasks, the BERT-like masked language models (MLM) encounter the discrepancy between pre-training and inference. In light of this gap, we investigate the contextual representation of pre-training and ... ...

    Abstract Though achieving impressive results on many NLP tasks, the BERT-like masked language models (MLM) encounter the discrepancy between pre-training and inference. In light of this gap, we investigate the contextual representation of pre-training and inference from the perspective of word probability distribution. We discover that BERT risks neglecting the contextual word similarity in pre-training. To tackle this issue, we propose an auxiliary gloss regularizer module to BERT pre-training (GR-BERT), to enhance word semantic similarity. By predicting masked words and aligning contextual embeddings to corresponding glosses simultaneously, the word similarity can be explicitly modeled. We design two architectures for GR-BERT and evaluate our model in downstream tasks. Experimental results show that the gloss regularizer benefits BERT in word-level and sentence-level semantic representation. The GR-BERT achieves new state-of-the-art in lexical substitution task and greatly promotes BERT sentence representation in both unsupervised and supervised STS tasks.

    Comment: Accepted to Findings of NAACL 2022
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2022-05-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Association between Exercise and Blood Pressure in Hypertensive Residents: A Meta-Analysis.

    Zhu, Zhu / Yan, Wu / Yu, Qiurun / Wu, Peihao / Bigambo, Francis Manyori / Chen, Jiaying

    Evidence-based complementary and alternative medicine : eCAM

    2022  Volume 2022, Page(s) 2453805

    Abstract: Background: Exercise is recommended as an effective lifestyle behaviour for adults to prevent and treat hypertension. In this study, a randomized-effect meta-analysis was used to analyse the influence of exercise interventions on blood pressure in ... ...

    Abstract Background: Exercise is recommended as an effective lifestyle behaviour for adults to prevent and treat hypertension. In this study, a randomized-effect meta-analysis was used to analyse the influence of exercise interventions on blood pressure in patients with hypertension.
    Methods: Candidate papers were retrieved from PubMed, Web of Science, Embase, and Cochrane Library electronic databases, and 46 studies were finally included and analysed.
    Results: It was shown that preplanned walking (systolic blood pressure (SBP): WMD (weighted mean difference) = -5.94, 95% CI: -8.57, -3.30; diastolic blood pressure (DBP): WMD = -2.66, 95% CI: -3.66, -1.67), yoga (SBP: WMD = -5.09, 95% CI: -9.28, -0.89; DBP: WMD = -3.06, 95% CI: -5.16, -0.96), aquatic sports (SBP WMD = -7.53, 95% CI: -11.40, -3.65; DBP: WMD = -5.35, 95% CI: -9.00, -1.69), and football (SBP: WMD = -6.06, 95% CI: -9.30, -2.82; DBP: WMD = -5.55, 95% CI: -8.98, -2.13) had significant effects on blood pressure reduction. However, Tai Chi (SBP: WMD = -8.31, 95% CI: -20.39, 3.77; DBP: WMD = -3.05, 95% CI: -6.96, 0.87) and Qigong (SBP: WMD = -4.34, 95% CI: -13.5, 4.82; DBP: WMD = -3.44, 95% CI: -7.89, 1.01) did not significantly reduce blood pressure. The heterogeneity of the meta-analysis was high.
    Conclusion: Walking, yoga, aquatic sports, and football were feasible and independent lifestyle interventions, and they were effective options for treating hypertension. More scientifically designed randomized controlled trials are needed in the future to further compare different forms of exercise for the treatment of hypertension.
    Language English
    Publishing date 2022-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2171158-6
    ISSN 1741-4288 ; 1741-427X
    ISSN (online) 1741-4288
    ISSN 1741-427X
    DOI 10.1155/2022/2453805
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Cost-effectiveness analysis of nivolumab plus cabozantinib versus sunitinib as first-line therapy in advanced renal cell carcinoma.

    Liu, Ruizhe / Qiu, Kaifeng / Wu, Junyan / Jiang, Yanqing / Wu, Peihao / Pang, Jianxin

    Immunotherapy

    2022  Volume 14, Issue 11, Page(s) 859–869

    Abstract: Aim: ...

    Abstract Aim:
    MeSH term(s) Anilides ; Carcinoma, Renal Cell ; Cost-Benefit Analysis ; Humans ; Kidney Neoplasms ; Nivolumab/therapeutic use ; Pyridines ; Sunitinib/therapeutic use
    Chemical Substances Anilides ; Pyridines ; cabozantinib (1C39JW444G) ; Nivolumab (31YO63LBSN) ; Sunitinib (V99T50803M)
    Language English
    Publishing date 2022-06-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2495964-9
    ISSN 1750-7448 ; 1750-743X
    ISSN (online) 1750-7448
    ISSN 1750-743X
    DOI 10.2217/imt-2021-0156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Is SARS-CoV-2 Infection Causing the Reactivation of Cytomegalovirus?

    Yin, Binbin / Wu, Peihao / Zhu, Yuning / Zhou, Shaomin / Bai, Yongying / Ding, Lijing / Chen, Yan / Zhu, Bo

    The Pediatric infectious disease journal

    2023  Volume 42, Issue 11, Page(s) e427–e429

    Language English
    Publishing date 2023-07-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 392481-6
    ISSN 1532-0987 ; 0891-3668
    ISSN (online) 1532-0987
    ISSN 0891-3668
    DOI 10.1097/INF.0000000000004048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: CIF-PT

    Dong, Linhao / An, Zhecheng / Wu, Peihao / Zhang, Jun / Lu, Lu / Ma, Zejun

    Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training

    2023  

    Abstract: Speech or text representation generated by pre-trained models contains modal-specific information that could be combined for benefiting spoken language understanding (SLU) tasks. In this work, we propose a novel pre-training paradigm termed Continuous ... ...

    Abstract Speech or text representation generated by pre-trained models contains modal-specific information that could be combined for benefiting spoken language understanding (SLU) tasks. In this work, we propose a novel pre-training paradigm termed Continuous Integrate-and-Fire Pre-Training (CIF-PT). It relies on a simple but effective frame-to-token alignment: continuous integrate-and-fire (CIF) to bridge the representations between speech and text. It jointly performs speech-to-text training and language model distillation through CIF as the pre-training (PT). Evaluated on SLU benchmark SLURP dataset, CIF-PT outperforms the state-of-the-art model by 1.94% of accuracy and 2.71% of SLU-F1 on the tasks of intent classification and slot filling, respectively. We also observe the cross-modal representation extracted by CIF-PT obtains better performance than other neural interfaces for the tasks of SLU, including the dominant speech representation learned from self-supervised pre-training.

    Comment: Accepted by ACL 2023 Findings
    Keywords Computer Science - Computation and Language ; Computer Science - Multimedia ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Publishing date 2023-05-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation

    Ma, Rao / Wu, Xiaobo / Qiu, Jin / Qin, Yanan / Xu, Haihua / Wu, Peihao / Ma, Zejun

    2022  

    Abstract: ASR model deployment environment is ever-changing, and the incoming speech can be switched across different domains during a session. This brings a challenge for effective domain adaptation when only target domain text data is available, and our ... ...

    Abstract ASR model deployment environment is ever-changing, and the incoming speech can be switched across different domains during a session. This brings a challenge for effective domain adaptation when only target domain text data is available, and our objective is to obtain obviously improved performance on the target domain while the performance on the general domain is less undermined. In this paper, we propose an adaptive LM fusion approach called internal language model estimation based adaptive domain adaptation (ILME-ADA). To realize such an ILME-ADA, an interpolated log-likelihood score is calculated based on the maximum of the scores from the internal LM and the external LM (ELM) respectively. We demonstrate the efficacy of the proposed ILME-ADA method with both RNN-T and LAS modeling frameworks employing neural network and n-gram LMs as ELMs respectively on two domain specific (target) test sets. The proposed method can achieve significantly better performance on the target test sets while it gets minimal performance degradation on the general test set, compared with both shallow and ILME-based LM fusion methods.

    Comment: Accepted by ICASSP 2023
    Keywords Computer Science - Computation and Language ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 400
    Publishing date 2022-11-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System

    Liang, Xinnian / Wang, Bing / Huang, Hui / Wu, Shuangzhi / Wu, Peihao / Lu, Lu / Ma, Zejun / Li, Zhoujun

    2023  

    Abstract: Large-scale Language Models (LLMs) are constrained by their inability to process lengthy inputs. To address this limitation, we propose the Self-Controlled Memory (SCM) system to unleash infinite-length input capacity for large-scale language models. Our ...

    Abstract Large-scale Language Models (LLMs) are constrained by their inability to process lengthy inputs. To address this limitation, we propose the Self-Controlled Memory (SCM) system to unleash infinite-length input capacity for large-scale language models. Our SCM system is composed of three key modules: the language model agent, the memory stream, and the memory controller. The language model agent iteratively processes ultra-long inputs and stores all historical information in the memory stream. The memory controller provides the agent with both long-term memory (archived memory) and short-term memory (flash memory) to generate precise and coherent responses. The controller determines which memories from archived memory should be activated and how to incorporate them into the model input. Our SCM system can be integrated with any LLMs to enable them to process ultra-long texts without any modification or fine-tuning. Experimental results show that our SCM system enables LLMs, which are not optimized for multi-turn dialogue, to achieve multi-turn dialogue capabilities that are comparable to ChatGPT, and to outperform ChatGPT in scenarios involving ultra-long document summarization or long-term conversations. Additionally, we will supply a test set, which covers common long-text input scenarios, for evaluating the abilities of LLMs in processing long documents.~\footnote{Working in progress.}\footnote{\url{https://github.com/wbbeyourself/SCM4LLMs}}

    Comment: Working in progress
    Keywords Computer Science - Computation and Language
    Subject code 004
    Publishing date 2023-04-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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