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Article ; Online: DAB2 promotes pulmonary fibrosis and may act as an intermediate between IGF‑1R and PI3K/AKT signaling pathways.

Liang, Chun-Lian / Li, Xiu-Li / Quan, Xiao-Juan / Zhang, Lin

2023 Volume 25, Issue 4, Page(s) 183

Abstract: Idiopathic pulmonary fibrosis (IPF) is a heterogeneous lung disease associated with high mortality. Disabled-2 (DAB2), an adapter protein, regulates cell-fibrinogen adhesion and fibrinogen uptake. DAB2 is differentially expressed in mouse fibrotic lungs ... ...

Abstract	Idiopathic pulmonary fibrosis (IPF) is a heterogeneous lung disease associated with high mortality. Disabled-2 (DAB2), an adapter protein, regulates cell-fibrinogen adhesion and fibrinogen uptake. DAB2 is differentially expressed in mouse fibrotic lungs induced by bleomycin according to a genome microarray analysis based on Gene Expression Omnibus database. However, the role of DAB2 in IPF has not been revealed. A bleomycin-induced mouse model of pulmonary fibrosis was constructed in the present study. It found that the expression of DAB2 was upregulated in bleomycin-induced fibrotic lung tissue with collagen fiber deposition and pulmonary interstitium thickening. Colocalization of DAB2 with α-smooth muscle actin (SMA) was observed in lung tissue sections.
Language	English
Publishing date	2023-03-10
Publishing country	Greece
Document type	Journal Article
ZDB-ID	2683844-8
ISSN	1792-1015 ; 1792-0981
ISSN (online)	1792-1015
ISSN	1792-0981
DOI	10.3892/etm.2023.11882
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The continuous performance test aids the diagnosis of post-stroke cognitive impairment in patients with right hemisphere damage.

Li, XiuLi / Huang, FuBiao / Guo, TieJun / Feng, MengChen / Li, Shan

Frontiers in neurology

2023 Volume 14, Page(s) 1173004

Abstract: Purpose: The purpose of the study was to investigate the time course difference of relative changes in oxygenated hemoglobin (Oxy-Hb) concentration in the prefrontal cortex (PFC) between controls and patients with post-stroke cognitive impairment (PSCI) ...

Abstract	Purpose: The purpose of the study was to investigate the time course difference of relative changes in oxygenated hemoglobin (Oxy-Hb) concentration in the prefrontal cortex (PFC) between controls and patients with post-stroke cognitive impairment (PSCI) who had right hemisphere damage (RHD) using the continuous performance test (CPT) and functional near-infrared spectroscopy (fNIRS) technology. The study aimed to evaluate the feasibility of CPT in the diagnosis and evaluation of PSCI with RHD. Methods: A total of 16 patients with RHD (RHD group) and 32 normal subjects (control group) were recruited. The Montreal Cognitive Assessment Scale was used to assess post-stroke cognitive impairment. The CPT and fNIRS were employed to investigate task-related changes in Oxy-Hb levels. Results: The RHD group showed significantly lower accuracy and hit rates than the control group; however, the average reaction time was significantly longer in the former. Although the two groups showed no statistically significant difference in terms of left and right PFC integral values, the mean values were greater in the RHD group. The centroid value of the right PFC was significantly higher in the RHD group than in the control group. The time course of Oxy-Hb concentrations in the PFC differed between the two groups. In the RHD group, neural compensation was observed in both prefrontal lobes; however, the rate of compensation was slower on the affected side. Conclusion: The CPT may be helpful in the clinical diagnosis of PSCI with RHD. It may therefore be used to evaluate the effectiveness of cognitive interventions.
Language	English
Publishing date	2023-06-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564214-5
ISSN	1664-2295
ISSN	1664-2295
DOI	10.3389/fneur.2023.1173004
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Article: Advances in viral encephalitis: Viral transmission, host immunity, and experimental animal models.

Yang, Dan / Li, Xiao-Jing / Tu, De-Zhen / Li, Xiu-Li / Wei, Bin

Zoological research

2023 Volume 44, Issue 3, Page(s) 525–542

Abstract: Viral infections have led to many public health crises and pandemics in the last few centuries. Neurotropic virus infection-induced viral encephalitis (VE), especially the symptomatic inflammation of the meninges and brain parenchyma, has attracted ... ...

Abstract	Viral infections have led to many public health crises and pandemics in the last few centuries. Neurotropic virus infection-induced viral encephalitis (VE), especially the symptomatic inflammation of the meninges and brain parenchyma, has attracted growing attention due to its high mortality and disability rates. Understanding the infectious routes of neurotropic viruses and the mechanism underlying the host immune response is critical to reduce viral spread and improve antiviral therapy outcomes. In this review, we summarize the common categories of neurotropic viruses, viral transmission routes in the body, host immune responses, and experimental animal models used for VE study to gain a deeper understanding of recent progress in the pathogenic and immunological mechanisms under neurotropic viral infection. This review should provide valuable resources and perspectives on how to cope with pandemic infections.
MeSH term(s)	Animals ; Encephalitis, Viral/veterinary ; Virus Diseases/veterinary ; Viruses ; Brain ; Disease Models, Animal
Language	English
Publishing date	2023-04-19
Publishing country	China
Document type	Journal Article ; Review
ISSN	2095-8137
ISSN	2095-8137
DOI	10.24272/j.issn.2095-8137.2023.025
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Article ; Online: Impaired meningeal lymphatic drainage in

Feng, Jian / Ren, Yuanzhen / Wang, Xilin / Li, Xiaojing / Zhu, Xingguo / Zhang, Baokai / Zhao, Qi / Sun, Xiaochen / Tian, Xinxin / Liu, Hongyang / Dong, Fan / Li, Xiu-Li / Qi, Linlin / Wei, Bin

Frontiers in immunology

2024 Volume 15, Page(s) 1382971

Abstract: Previous studies have demonstrated an association between lymphatic vessels and diseases caused by bacterial infections. ...

Abstract	Previous studies have demonstrated an association between lymphatic vessels and diseases caused by bacterial infections.
MeSH term(s)	Animals ; Mice ; Listeria monocytogenes ; Listeriosis/microbiology ; Lymphatic Vessels ; Lymphangiogenesis ; Meninges
Language	English
Publishing date	2024-04-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2024.1382971
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Article ; Online: Predicting cognitive impairment in chronic kidney disease patients using structural and functional brain network: An application study of artificial intelligence.

Wang, Yun Fei / Mao, Li / Chen, Hui Juan / Yang, Yu Ting / Li, Xiu Li / Lu, Guang Ming / Xing, Wei / Zhang, Long Jiang

Progress in neuro-psychopharmacology & biological psychiatry

2022 Volume 122, Page(s) 110677

Abstract: Objective: To develop and validate artificial intelligence models for the prediction of cognitive impairment in chronic kidney disease (CKD) patients using structural and functional brain network.: Methods: This study retrospectively recruited 621 ... ...

Abstract	Objective: To develop and validate artificial intelligence models for the prediction of cognitive impairment in chronic kidney disease (CKD) patients using structural and functional brain network. Methods: This study retrospectively recruited 621 CKD patients and 625 healthy controls in Jinling hospital and 57 CKD patients in Hainan hospital. These CKD patients were divided into cognitive function impairment (CFI) group and non-CFI group based on diagnostic criteria. All patients underwent brain MRI scan, neuropsychological test and laboratory exam. A deep learning model (Attention MLP) based on structural and functional sub-network (determined by the comparison between the patients and healthy controls) topological properties was developed to generate the MRI signature for the discrimination of CFI. Finally, a clinical-topological logistic regression model was built by combining MRI signature and clinical features. The area under curve (AUC), sensitivity and specificity were calculated to evaluate the model performance. Delong test was used to examine the difference of AUCs between models. The integrated discrimination improvement (IDI) and net reclassification index (NRI) between models were calculated. Results: Attention MLP model performed well in both internal test set and external test set (AUC = 0.744 and 0.763, respectively). After combining with the clinical features, the model performance was further improved both in the internal (AUC: 0.748) and external test sets (AUC: 0.774), while both IDI and NRI were significant (all p < 0.05) in the external test set. According to the comprehensive comparison, the AUC of the Attention MLP model was significantly or marginal significantly higher than that of traditional machine learning models (logistic regression: AUC = 0.634; support vector machine: AUC = 0.613; decision tree: AUC = 0.539; XGBoost: AUC = 0.639) in internal test set. The results showed that the model built on the combining of structural and functional networks data outperformed those on the single network, as well as the connection matrix. Conclusion: The result indicated that the integration of the clinical information and the MRI signature generated by artificial intelligence model based on structural and functional network topological properties could help to predict the CFI of CKD patients effectively. Our results provided a set of quantifiable imaging biomarkers for CFI which may be beneficial to CKD patients.
MeSH term(s)	Humans ; Artificial Intelligence ; Retrospective Studies ; Machine Learning ; Brain/diagnostic imaging ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/etiology
Language	English
Publishing date	2022-11-14
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	781181-0
ISSN	1878-4216 ; 0278-5846
ISSN (online)	1878-4216
ISSN	0278-5846
DOI	10.1016/j.pnpbp.2022.110677
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Article ; Online: Seeing beyond the tumor: computed tomography image-based radiomic analysis helps identify ovarian clear cell carcinoma subtype in epithelial ovarian cancer.

Ren, Jing / Mao, Li / Zhao, Jia / Li, Xiu-Li / Wang, Chen / Liu, Xin-Yu / Jin, Zheng-Yu / He, Yong-Lan / Li, Yuan / Xue, Hua-Dan

La Radiologia medica

2023 Volume 128, Issue 8, Page(s) 900–911

Abstract: Objective: To develop and validate a model that can preoperatively identify the ovarian clear cell carcinoma (OCCC) subtype in epithelial ovarian cancer (EOC) using CT imaging radiomics and clinical data.: Material and methods: We retrospectively ... ...

Abstract	Objective: To develop and validate a model that can preoperatively identify the ovarian clear cell carcinoma (OCCC) subtype in epithelial ovarian cancer (EOC) using CT imaging radiomics and clinical data. Material and methods: We retrospectively analyzed data from 282 patients with EOC (training set = 225, testing set = 57) who underwent pre-surgery CT examinations. Patients were categorized into OCCC or other EOC subtypes based on postoperative pathology. Seven clinical characteristics (age, cancer antigen [CA]-125, CA-199, endometriosis, venous thromboembolism, hypercalcemia, stage) were collected. Primary tumors were manually delineated on portal venous-phase images, and 1218 radiomic features were extracted. The F-test-based feature selection method and logistic regression algorithm were used to build the radiomic signature, clinical model, and integrated model. To explore the effects of integrated model-assisted diagnosis, five radiologists independently interpreted images in the testing set and reevaluated cases two weeks later with knowledge of the integrated model's output. The diagnostic performances of the predictive models, radiologists, and radiologists aided by the integrated model were evaluated. Results: The integrated model containing the radiomic signature (constructed by four wavelet radiomic features) and three clinical characteristics (CA-125, endometriosis, and hypercalcinemia), showed better diagnostic performance (AUC = 0.863 [0.762-0.964]) than the clinical model (AUC = 0.792 [0.630-0.953], p = 0.295) and the radiomic signature alone (AUC = 0.781 [0.636-0.926], p = 0.185). The diagnostic sensitivities of the radiologists were significantly improved when using the integrated model (p = 0.023-0.041), while the specificities and accuracies were maintained (p = 0.074-1.000). Conclusion: Our integrated model shows great potential to facilitate the early identification of the OCCC subtype in EOC, which may enhance subtype-specific therapy and clinical management.
MeSH term(s)	Humans ; Female ; Carcinoma, Ovarian Epithelial/diagnostic imaging ; Retrospective Studies ; Endometriosis ; Tomography, X-Ray Computed/methods ; Ovarian Neoplasms/diagnostic imaging
Language	English
Publishing date	2023-06-27
Publishing country	Italy
Document type	Journal Article
ZDB-ID	205751-7
ISSN	1826-6983 ; 0033-8362
ISSN (online)	1826-6983
ISSN	0033-8362
DOI	10.1007/s11547-023-01666-x
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Article: Rapid lipidomics analysis for sepsis-induced liver injury in rats and insights into lipid metabolic pathways using ultra-performance liquid chromatography/mass spectrometry

Liang, Qun / Hairong, Panguo / Li, Xiu-li / Liu, Han / Yang, Yang

RSC advances. 2019 Nov. 01, v. 9, no. 61

2019

Abstract: Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine. Sepsis is a major systemic inflammatory syndrome and the liver here is a potential ... ...

Abstract	Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine. Sepsis is a major systemic inflammatory syndrome and the liver here is a potential target organ for dysfunctional response. However, the study of alterations in global lipid profiles associated with sepsis-induced liver injury is still limited. In this work, we set out to determine alterations of lipidomics profiles in a rat model of sepsis-induced liver injury using an untargeted lipidomics strategy. Liquid chromatography coupled with mass spectrometry in conjunction with multivariate data analysis and pathway analysis were used to acquire a global lipid metabolite profile. Meanwhile, biochemistry index and histopathological examinations of the liver were performed to obtain auxiliary measurements for determining the pathological changes associated with sepsis-induced liver injury. Eleven lipid metabolites and two metabolic pathways were discovered and associated with sepsis-induced liver injury. The results indicated that various biomarkers and pathways may provide evidence for and insight into lipid profile alterations associated with sepsis-induced liver injury, and hence pointed to potential strategic targets for clinical diagnosis and therapy in the future.
Keywords	animal models ; biochemical pathways ; biomarkers ; histopathology ; lipid composition ; lipids ; liver ; mass spectrometry ; medicine ; metabolites ; multivariate analysis ; rats ; sepsis (infection) ; therapeutics ; ultra-performance liquid chromatography
Language	English
Dates of publication	2019-1101
Size	p. 35364-35371.
Publishing place	The Royal Society of Chemistry
Document type	Article
ISSN	2046-2069
DOI	10.1039/c9ra05836b
Database	NAL-Catalogue (AGRICOLA)

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Article: A high-throughput metabolomics strategy for discovering the influence of differential metabolites and metabolic pathways of huaxian capsules on sepsis-associated Qi deficiency and blood stasis syndrome

Liang, Qun / Liu, Han / Li, Xiu-li / Sun, Pei-yang / Yang, Yang / Du, Chunpeng

RSC advances. 2019 Sept. 30, v. 9, no. 53

2019

Abstract: High-throughput metabolomics can be used to investigate the therapeutic targets and metabolic mechanisms of traditional Chinese medicine (TCM) formulae, which have multiple targets in disease therapy, but it is a great challenge to explore their ... ...

Abstract	High-throughput metabolomics can be used to investigate the therapeutic targets and metabolic mechanisms of traditional Chinese medicine (TCM) formulae, which have multiple targets in disease therapy, but it is a great challenge to explore their mechanism of action. Huaxian capsule (HXC) is a classical formula in TCM that has therapeutic effects on a sepsis-associated Qi deficiency and blood stasis syndrome (SQBS). However, its targets and metabolic mechanisms need more investigation. To investigate the therapeutic effects of HXC in the treatment of SQBS and elucidate the potential mechanism, we used a high-throughput metabolomics strategy based on the ultraperformance liquid chromatography/mass spectrometry combined with chemometrics to analyze and identify differential metabolites and pathways. The pathological examination of organs and biochemical indices was also performed to verify the successful establishment of the rat model and protective effects of HXC. Pathological symptoms and biochemical indicators of SQBS rats were reversed by the HXC treatment. A total of 24 potential biomarkers were identified to indicate the difference between the control and model groups; they were closely associated with ten metabolic pathways and regulated by the HXC administration. From the pathway analysis, we further understood the protective activity of HXC against SQBS, which affected amino acid metabolism, molecular transport, small molecule biochemistry and cell signaling as well as vitamin and mineral metabolism. In conclusion, HXC protects against SQBS by modulating the metabolic biomarkers and functional pathways.
Keywords	Oriental traditional medicine ; amino acid metabolism ; animal models ; biochemical pathways ; biomarkers ; blood stasis ; chemometrics ; mass spectrometry ; mechanism of action ; metabolites ; metabolomics ; mineral metabolism ; protective effect ; rats ; therapeutics ; ultra-performance liquid chromatography
Language	English
Dates of publication	2019-0930
Size	p. 30868-30878.
Publishing place	The Royal Society of Chemistry
Document type	Article
ISSN	2046-2069
DOI	10.1039/c9ra06679a
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Article: [Bioanalysis in the development of antibody-drug conjugates].

Li, Xiu-li / Chen, Xiao-yan / Zhong, Da-fang

Yao xue xue bao = Acta pharmaceutica Sinica

2016 Volume 51, Issue 4, Page(s) 517–528

Abstract: Antibody-drug conjugates (ADCs) are complex molecules with cytotoxic small molecular drugs covalently bound to monoclonal antibodies via a linker and can improve the targeted drug delivery with minimizing the systemic toxicity. ADCs are heterogeneous ... ...

Abstract	Antibody-drug conjugates (ADCs) are complex molecules with cytotoxic small molecular drugs covalently bound to monoclonal antibodies via a linker and can improve the targeted drug delivery with minimizing the systemic toxicity. ADCs are heterogeneous mixtures with different drug-to-antibody ratios (DARs) and the DAR distribution is dynamically changing in vivo, therefore the bioanalysis of the ADCs is challenging. Enzyme-linked immunosorbent assay(ELISA) and LC-MS have been widely used in the ADCs bioanalytical assays. Just like other biotherapeutics, ADCs may elicit the host immune response and produce the anti-therapeutic antibody (ATA), which could affect its efficacy, pharmacokinetics, and safety. It is thereby important to investigate its immunogenicity in the ADC development. In this review, we summarized the ELISA- and LC-MS-based bioanalysis strategies for the development of ADCs, including DAR distribution, the determination of total antibody, conjugated antibody, conjugated drug, free drug, and ATA, with the expectation of providing insights and reference for the ADC development in China.
MeSH term(s)	Animals ; Antibodies, Monoclonal/pharmacology ; Antineoplastic Agents ; Chromatography, Liquid ; Enzyme-Linked Immunosorbent Assay ; Humans ; Immunoconjugates/pharmacology ; Mass Spectrometry ; Pharmaceutical Preparations/chemistry
Chemical Substances	Antibodies, Monoclonal ; Antineoplastic Agents ; Immunoconjugates ; Pharmaceutical Preparations
Language	Chinese
Publishing date	2016
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	788758-9
ISSN	0513-4870
ISSN	0513-4870
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Article ; Online: Retracted Article: A high-throughput metabolomics strategy for discovering the influence of differential metabolites and metabolic pathways of huaxian capsules on sepsis-associated Qi deficiency and blood stasis syndrome.

Liang, Qun / Liu, Han / Li, Xiu-Li / Sun, Pei-Yang / Yang, Yang / Du, Chunpeng

publication RETRACTED

RSC advances

2019 Volume 9, Issue 53, Page(s) 30868–30878

Abstract	High-throughput metabolomics can be used to investigate the therapeutic targets and metabolic mechanisms of traditional Chinese medicine (TCM) formulae, which have multiple targets in disease therapy, but it is a great challenge to explore their mechanism of action. Huaxian capsule (HXC) is a classical formula in TCM that has therapeutic effects on a sepsis-associated Qi deficiency and blood stasis syndrome (SQBS). However, its targets and metabolic mechanisms need more investigation. To investigate the therapeutic effects of HXC in the treatment of SQBS and elucidate the potential mechanism, we used a high-throughput metabolomics strategy based on the ultraperformance liquid chromatography/mass spectrometry combined with chemometrics to analyze and identify differential metabolites and pathways. The pathological examination of organs and biochemical indices was also performed to verify the successful establishment of the rat model and protective effects of HXC. Pathological symptoms and biochemical indicators of SQBS rats were reversed by the HXC treatment. A total of 24 potential biomarkers were identified to indicate the difference between the control and model groups; they were closely associated with ten metabolic pathways and regulated by the HXC administration. From the pathway analysis, we further understood the protective activity of HXC against SQBS, which affected amino acid metabolism, molecular transport, small molecule biochemistry and cell signaling as well as vitamin and mineral metabolism. In conclusion, HXC protects against SQBS by modulating the metabolic biomarkers and functional pathways.
Language	English
Publishing date	2019-09-30
Publishing country	England
Document type	Journal Article ; Retracted Publication
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/c9ra06679a
Database	MEDical Literature Analysis and Retrieval System OnLINE

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