1.Therapeutic role of miR-26a on cardiorenal injury in a mice model of angiotensin-II induced chronic kidney disease through inhibition of LIMS1/ILK pathway.
Weijie NI ; Yajie ZHAO ; Jinxin SHEN ; Qing YIN ; Yao WANG ; Zuolin LI ; Taotao TANG ; Yi WEN ; Yilin ZHANG ; Wei JIANG ; Liangyunzi JIANG ; Jinxuan WEI ; Weihua GAN ; Aiqing ZHANG ; Xiaoyu ZHOU ; Bin WANG ; Bi-Cheng LIU
Chinese Medical Journal 2025;138(2):193-204
BACKGROUND:
Chronic kidney disease (CKD) is associated with common pathophysiological processes, such as inflammation and fibrosis, in both the heart and the kidney. However, the underlying molecular mechanisms that drive these processes are not yet fully understood. Therefore, this study focused on the molecular mechanism of heart and kidney injury in CKD.
METHODS:
We generated an microRNA (miR)-26a knockout (KO) mouse model to investigate the role of miR-26a in angiotensin (Ang)-II-induced cardiac and renal injury. We performed Ang-II modeling in wild type (WT) mice and miR-26a KO mice, with six mice in each group. In addition, Ang-II-treated AC16 cells and HK2 cells were used as in vitro models of cardiac and renal injury in the context of CKD. Histological staining, immunohistochemistry, quantitative real-time polymerase chain reaction (PCR), and Western blotting were applied to study the regulation of miR-26a on Ang-II-induced cardiac and renal injury. Immunofluorescence reporter assays were used to detect downstream genes of miR-26a, and immunoprecipitation was employed to identify the interacting protein of LIM and senescent cell antigen-like domain 1 (LIMS1). We also used an adeno-associated virus (AAV) to supplement LIMS1 and explored the specific regulatory mechanism of miR-26a on Ang-II-induced cardiac and renal injury. Dunnett's multiple comparison and t -test were used to analyze the data.
RESULTS:
Compared with the control mice, miR-26a expression was significantly downregulated in both the kidney and the heart after Ang-II infusion. Our study identified LIMS1 as a novel target gene of miR-26a in both heart and kidney tissues. Downregulation of miR-26a activated the LIMS1/integrin-linked kinase (ILK) signaling pathway in the heart and kidney, which represents a common molecular mechanism underlying inflammation and fibrosis in heart and kidney tissues during CKD. Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes.
CONCLUSIONS
Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. This is attributed to its ability to regulate the LIMS1/ILK signaling pathway, which represents a common molecular mechanism in both heart and kidney tissues.
Animals
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MicroRNAs/metabolism*
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Angiotensin II/toxicity*
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Mice
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Renal Insufficiency, Chronic/chemically induced*
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Mice, Knockout
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Disease Models, Animal
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Male
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Signal Transduction/genetics*
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LIM Domain Proteins/genetics*
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Mice, Inbred C57BL
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Cell Line
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Humans
2.Prediction of EGFR mutation status in non-small cell lung cancer based on CT radiomic features combined with clinical characteristics
Taotao YANG ; Xianqi WANG ; Cancan CHEN ; Wanying YAN ; Dawei WANG ; Kunlin XIONG ; Zhiyuan SUN ; Wei CHEN
Journal of Army Medical University 2025;47(8):847-857
Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4~0.825 1),0.745 4(95%CI:0.671 1~0.814 3),and 0.724 7(95%CI:0.639 7~0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9~0.757 6),0.652 5(95%CI:0.576 7~0.729 1),and 0.779 2(95%CI:0.712 5~0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7~0.874 3),0.782 4(95%CI:0.703 1~0.848 2),and 0.796 6(95%CI:0.718 1~0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.
3.Integrative model combining deep learning,clinical and radiomic features enhances EGFR mutation prediction in non-small cell lung cancer
Taotao YANG ; Wei CHEN ; Cancan CHEN ; Wanying YAN ; Dawei WANG ; Kunlin XIONG ; Zhiyuan SUN ; Xianqi WANG
Journal of Army Medical University 2025;47(23):2991-3001
Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6~0.884 7),0.815 1(0.741 6~0.882 8),and 0.810 1(0.745 2~0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2~0.802 1),0.746 0(0.666 4~0.824 9),and 0.813 4(0.743 1~0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4~0.825 1),0.745 4(0.671 1~0.814 3),and 0.724 7(0.639 7~0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0~0.945 4),0.832 7(0.763 3~0.896 4),and 0.889 0(0.834 4~0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15~0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.
4.Identification of lipid droplets in gut bacteria.
Kai ZHANG ; Chang ZHOU ; Zemin LI ; Xuehan LI ; Ziyun ZHOU ; Linjia CHENG ; Ahmed Hammad MIRZA ; Yumeng SHI ; Bingbing CHEN ; Mengwei ZHANG ; Liujuan CUI ; Congyan ZHANG ; Taotao WEI ; Xuelin ZHANG ; Shuyan ZHANG ; Pingsheng LIU
Protein & Cell 2023;14(2):143-148
5.Exploring the links between gut microbiome changes and irritable bowel syndrome in Han populations in the Tibetan Plateau.
Xingguang ZHANG ; Wei XU ; Weilong ZHONG ; Wencheng ZHANG ; Cheng YANG ; Lisa DUAN ; Haiyan NIU ; Yanmei DONG ; Taotao LIU ; Shihai XIA ; Bangmao WANG
Journal of Zhejiang University. Science. B 2023;():1-16
The gut microbiome shows changes under a plateau environment, while the disbalance of intestinal microbiota plays an important role in the pathogenesis of irritable bowel syndrome (IBS); however, the relationship between the two remains unexplored. In this work, we followed up a healthy cohort for up to a year before and after living in a plateau environment and performed 16S ribosomal RNA (rRNA) sequencing analysis of their fecal samples. Through evaluating the participants' clinical symptoms, combined with an IBS questionnaire, we screened the IBS sub-population in our cohort. The sequencing results showed that a high-altitude environment could lead to changes in the diversity and composition of gut flora. In addition, we found that the longer the time volunteers spent in the plateau environment, the more similar their gut microbiota composition and abundance became compared to those before entering the plateau, and IBS symptoms were significantly alleviated. Therefore, we speculated that the plateau may be a special environment that induces IBS. The taxonomic units g_Alistipes, g_Oscillospira, and s_Ruminococcus_torques, which had been proved to play important roles in IBS pathogenesis, were also abundant in the IBS cohort at high altitudes. Overall, the disbalance of gut microbiota induced by the plateau environment contributed to the high frequency of IBS and the psychosocial abnormalities associated with IBS. Our results prompt further research to elucidate the relevant mechanism.
6.Analysis of peripheral blood lymphocyte status in low-level-viremia patients with chronic hepatitis B virus infection after nucleos(t)ide analogue treatment
Liying GUO ; Xiaoyan LI ; Rui SU ; Yu CAO ; Jing WANG ; Jinyan LEI ; Peng LI ; Wei REN ; Taotao SONG ; Jianwei JIA ; Jie ZHAO ; Xiliang WU ; Jing MIAO
Chinese Journal of Microbiology and Immunology 2023;43(7):525-533
Objective:To evaluate the status of T, B and NK lymphocytes in peripheral blood of patients with chronic hepatitis B virus(HBV) infection and low-level viremia after nucleos(t)ide analogue (NA) treatment and to provide ideas for solving low-level viremia.Methods:This retrospective study involved 344 patients with chronic HBV infection who had been treated with NAs. They were divided into two groups: low-level viremia group (LLV group) and complete virological response group (CVR group). Clinical data including basic information, biochemistry and coagulation test results, HBV DNA, peripheral blood lymphocyte counts, PD1 and CD28 expression by T lymphocytes, and perforin and granzyme B expression by NK lymphocytes were collected and compared between the two groups. Propensity matching analysis was performed to verify the accuracy of the results.Results:Among the 344 cases, 162 were in the LLV group and 182 in the CVR group. There were no significant differences in disease diagnosis, alanine aminotransferase (ALT), aspartate aminotransferase (AST) or albumin (ALB) level between the two groups ( P>0.05), but the differences in gender and age were statistically significant ( P<0.05). The differences in the counts and percentages of peripheral blood CD3 +, CD4 + and CD8 + T lymphocyte and CD4 + /CD8 + ratios between the two groups were not statistically significant ( P>0.05), but the expression of PD1 and CD28 by peripheral blood CD3 +, CD4 + and CD8 + T lymphocytes was higher in the LLV group than in the CVR group ( P<0.05). The count of peripheral blood CD19 + B lymphocytes in the LLV group was higher than that in the CVR group ( P>0.05), and the percentage of peripheral blood CD19 + B lymphocytes was also higher in the LLV group ( P<0.05). The count of peripheral blood CD16 + CD56 + NK lymphocytes and the expression of perforin in the LLV group were lower than those in the CVR group ( P>0.05). The percentage of peripheral blood CD16 + CD56 + NK lymphocytes and the expression of granzyme B in the LLV group were lower than those in the CVR group ( P<0.05). After propensity score matching, 108 cases in the LLV group and 108 cases in the CVR group showed no significant differences in basic information ( P>0.05); the percentage of CD4 + T lymphocytes and CD4 + /CD8 + ratio in peripheral blood T lymphocyte subsets were higher in the LLV group than in the CVR group, while the percentage of CD8 + lymphocytes was lower in the LLV group ( P<0.05); the expression of PD1 and CD28 by CD3 +, CD4 + and CD8 + T lymphocytes remained higher in the LLV group ( P<0.05); the differences in the counts and percentages of peripheral blood CD19 + B lymphocytes as well as CD16 + CD56 + NK lymphocytes between the two groups were not statistically significant ( P>0.05); no significant difference in the expression of perforin by CD16 + CD56 + NK lymphocytes was found between the two groups ( P>0.05), and the expression of granzyme B remained lower in the LLV group ( P<0.05). Conclusions:Abnormal number and function of T lymphocytes and decreased function of NK lymphocytes might be related to the development of LLV in patients with chronic HBV infection after treatment. Therefore, in addition to adjusting NAs, targeting of T and NK lymphocytes might also be a feasible measure for future LLV treatment.
7.Characteristics and prognosis of visual field of G11778A mutation Leber hereditary optic neuropathy
Yanting XIA ; Liang LIAO ; Taotao ZHANG ; Jian ZHOU ; Qiping WEI
Chinese Journal of Ocular Fundus Diseases 2021;37(3):180-188
Objective:To analyze the characteristics and prognosis of visual field of Leber hereditary optic neuropathy (LHON) with G11778A mutation.Methods:A retrospective clinical study. Twenty-two (44 eyes) of LHON patients diagnosed with G11778A site mutation by mt-DNA examination from May 2008 to February 2018 in Ophthalmology Department of Dongfang Hospital of Beijing University of Chinese Medicine, were enrolled in this study. All patients underwent best corrected visual acuity (BCVA), visual field and optical coherence tomography (OCT). The BCVA examination was performed using the international standard visual acuity chart, which was converted into logarithm of the minimum angle of resolution (logMAR) BCVA for record. The thickness of the retinal nerve fiber layer (RNFL) in the 200μm×200μm annular region 1.73 mm outside the optic disc was measured by OCT. At least 7 visual field examinations were performed within one month before and after 2, 4, 8, 12, 18, 24 and 30 months of the course of disease by using Octopus 101 perimetry. Among 44 eyes, 27 eyes were detected with G2 procedure (G2 group) and 17 eyes were detected with LVC procedure (LVC group). The mean field defect (MD) and mean optical sensitivity (MS) were used as the main outcome indexes. According to the onset age, the patients were further divided into the ≤14 years old group and>14 years old group. There was a significant difference in initial logMAR BCVA between the G2 group and LVC group ( t=4.994, P=0.000), but there was no significant difference in gender ( χ2=1.896, P=0.169) and age ( t=0.337, P=0.708) between the two groups. Independent sample t test was used for comparison between groups, paired t test was used for comparison within groups, and one-way analysis of variance was used for comparison between groups. The statistical data were compared by χ2 test. Results:In the G2 group, the MD value of the subgroup of children (≤14 years old) decreased gradually during the follow-up period, and the MD value since 18 months after onset was significantly lower than the value of 2 months after onset ( t=3.813, 4.590, 5.033; P=0.002, 0.001, 0.000). No obvious visual field index changes were seen in other subgroups ( P>0.05). The central scotoma was the most common type of visual field defect in the early stage, and the diffuse defect was the most common type of visual field defect in the late stage. There was a significant difference in the types of visual field distribution between the early and late stage in G2 group ( χ2=17.414, P=0.015). There was no significant difference in the type of visual field distribution between the early and late stage in LVC group ( χ2=4.541, P=0.474). The MD value in the G2 group remained stable within 8 months after onset, but significantly improved after 18 months after onset ( t=2.100, 3.217, 3.566; P=0.046, 0.003, 0.001). The MS in the LVC group did not significantly improve during follow-up ( P>0.05). The average visual acuity of the G2 group was significantly improved from 12 months ( t=3.039, 3.678, 4.264, 5.078; P=0.008, 0.002, 0.001, 0.000). The visual acuity of the eyes in the G2 group was better than that of the LVC group during all follow-up periods ( P≤0.05). The RNFL thickness of all patients continued to decrease after onset, but the RNFL thickness was significantly higher at 4, 8, 18, 24, 30 months in the G2 group than those in the LVC group ( t=2.471, 2.269, 2.474, 2.509, 2.782; P=0.018, 0.028, 0.017, 0.016, 0.008). Conclusions:The main types of visual field defect of LHON with G11778A mutation are the central scotoma in the early stage, while the diffuse defect and central scotoma are both very common in the later stage. The visual field of LHON patients examined by G2 procedure is significantly improved during the follow-up, as well as the visual acuity improved significantly, and the visual field improvement in younger cases (≤14 years old) is better than that of older cases (>14 years old), but the visual field of the LVC procedure cases did not improve during follow-up.
8.Monocrotaline increases expression of IL-1βand IL-18 in lung tissue of pulmonary hypertension rats
Zhaoqi ZHANG ; Ge GAO ; Tongyao HU ; Dan WEI ; Heng YUAN ; Xiang WU ; Taotao ZHENG
Basic & Clinical Medicine 2017;37(5):687-690
Objective Explore the change of IL-1β and IL-18 expression in pulmonary hypertension induced by monocrotaline.Methods Divide the mouses into two groups, control group and experimental group (n=10).Establish rats pulmonary hypertension model induced by monocrotaline.Detect the model by ultrasound, myocardial cells HE dyeing and tunnel test;ELISA was used to detect the serum biological markers NF-κB, COX2, IL-6, IL-1β, TNF-α and NO;Immunohistochemical was used to detect the expression level of IL-1β and IL-18 in the lung tissue;the protein change of NLRP3 in the lung tissue was detected by Western blot.Results Serum biological markers of NF-κB, COX2, IL-6, IL-1β, TNF-α and NO are significantly increased in PAH rats(P<0.05);The expression of IL-1β, IL-18 in the lung tissue increased obviously(P<0.05);The NLRP3 protein expression was significantly higher in experimental group.Conclusions Changes of NLRP3 effect increase expression of IL-1β and IL-18and which may play an important role in pulmonary hypertension induced by monocrotaline.
9.Phorbol myristate acetate suppresses breast cancer cell growth via down-regulation of P-Rex1 expression.
Chuu-Yun A WONG ; Haihong JIANG ; Peter W ABEL ; Margaret A SCOFIELD ; Yan XIE ; Taotao WEI ; Yaping TU
Protein & Cell 2016;7(6):445-449
Breast Neoplasms
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metabolism
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pathology
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Cell Line, Tumor
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Cell Proliferation
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drug effects
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Down-Regulation
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drug effects
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Female
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Guanine Nucleotide Exchange Factors
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antagonists & inhibitors
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genetics
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metabolism
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Humans
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Indoles
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pharmacology
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MCF-7 Cells
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Maleimides
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pharmacology
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Protein Isoforms
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genetics
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metabolism
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Protein Kinase C
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antagonists & inhibitors
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genetics
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metabolism
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RNA Interference
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RNA, Small Interfering
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metabolism
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Receptor, ErbB-2
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genetics
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metabolism
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Tetradecanoylphorbol Acetate
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toxicity
10.Inputs and outputs of insulin receptor.
Protein & Cell 2014;5(3):203-213
The insulin receptor (IR) is an important hub in insulin signaling and its activation is tightly regulated. Upon insulin stimulation, IR is activated through autophosphorylation, and consequently phosphorylates several insulin receptor substrate (IRS) proteins, including IRS1-6, Shc and Gab1. Certain adipokines have also been found to activate IR. On the contrary, PTP, Grb and SOCS proteins, which are responsible for the negative regulation of IR, are characterized as IR inhibitors. Additionally, many other proteins have been identified as IR substrates and participate in the insulin signaling pathway. To provide a more comprehensive understanding of the signals mediated through IR, we reviewed the upstream and downstream signal molecules of IR, summarized the positive and negative modulators of IR, and discussed the IR substrates and interacting adaptor proteins. We propose that the molecular events associated with IR should be integrated to obtain a better understanding of the insulin signaling pathway and diabetes.
Animals
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Humans
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Protein Binding
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Receptor, Insulin
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metabolism
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Signal Transduction
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Substrate Specificity

Result Analysis
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