Publications by authors named "Haibo Xu"

191 Publications

The Mediating Role of Social Support in the Relationship Between Psychological Capital and Depression Among Chinese Emergency Physicians.

Psychol Res Behav Manag 2022 20;15:977-990. Epub 2022 Apr 20.

School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.

Purpose: Depression is common in medical practitioners across all stages of their careers, but few studies have explored positive factors for combatting depression in emergency physicians. This study aims to explore the association between psychological capital and depression among Chinese emergency physicians, along with the mediating role of social support in this relationship.

Methods: A cross-sectional survey was conducted at 33 grade III and class A general hospitals in 13 cities of Jiangsu Province, China. Emergency physicians participating in the study completed 568 questionnaires on psychological capital, social support, and depression. Regression analysis was applied to explore the relationship between psychological capital, social support, and depression, and to assess the mediating role of social support.

Results: The rate of potentially depressed physicians was determined as 18.5% among our study sample. Depression was negatively correlated with psychological capital ( = -0.384, < 0.01) and its four components of hope, self-efficacy, resiliency, and optimism, and negatively correlated with social support ( = -0.299, < 0.01). Depression was negatively affected by psychological capital ( = -0.398, < 0.001), or by both psychological capital (' = -0.334, < 0.001) and social support ( = -0.171, < 0.001), and social support was positively affected by psychological capital ( = 0.372, < 0.001), leading to a mediation effect of -0.064 and accounting for approximately 16.0% of the total effect of psychological capital on depression. Furthermore, social support exhibited a potent mediating role for emergency physicians with potential depressive disorder compared to those without depression.

Conclusion: Psychological capital not only can directly affect depression, but can also alleviate it by increasing social support. Hospitals should pay attention to the mental health status of emergency physicians, and psychological capital training and emotional support can be implemented to improve mental health.
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http://dx.doi.org/10.2147/PRBM.S360611DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035443PMC
April 2022

Exploring noncoding RNAs in thyroid cancer using a graph convolutional network approach.

Comput Biol Med 2022 Jun 8;145:105447. Epub 2022 Apr 8.

Beidahuang Industry Group General Hospital, Harbin, China. Electronic address:

Noncoding RNAs (ncRNAs) are crucial regulators in initiating and promoting thyroid cancer. Exploring the relationship between ncRNAs and thyroid cancer is essential for the diagnosis and treatment of thyroid cancer. Wet-lab experiments are costly and are difficult to conduct on a large scale. Although there are several ncRNA and cancer-related databases, there are few data related to thyroid cancer. There is a lack of computational approaches for predicting ncRNA-thyroid cancer associations. This work describes TCGCN, a linear residual graph convolution network to predict ncRNA-thyroid cancer associations. We collected a large amount of ncRNA-disease association data and constructed a bipartite graph. We use a simple linear embedding propagation at each convolutional layer and use the weighted sum of the embeddings on all graph convolutional layers to make the final prediction. In 5-fold cross-validation on the ncRNA-thyroid cancer dataset, TCGCN obtained significantly better performances with an AUC of 0.8162 and an AUPR of 0.8049, which are considerably better than those of other state-of-the-art approaches. We also demonstrate the usability of our method in the case studies.
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http://dx.doi.org/10.1016/j.compbiomed.2022.105447DOI Listing
June 2022

Rab13 sustains breast cancer stem cells by supporting tumor-stroma crosstalk.

Cancer Res 2022 Apr 8. Epub 2022 Apr 8.

Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.

Cancer stem cells (CSC) are supported by the tumor microenvironment, and non-CSCs can regain CSC phenotypes in certain niches, leading to limited clinical benefits of CSC-targeted therapy. A better understanding of the mechanisms governing the orchestration of the CSC niche could help improve the therapeutic targeting of CSCs. Here, we report that Rab13, a small GTPase, is highly expressed in breast CSCs (BCSCs). Rab13 depletion suppressed breast cancer cell stemness, tumorigenesis, and chemoresistance by reducing tumor-stroma crosstalk. Accordingly, Rab13 controlled the membrane translocation of CXCR1/2, allowing tumor cells to interact with tumor-associated macrophages and cancer-associated fibroblasts to establish a supportive BCSC niche. Targeting the Rab13-mediated BCSC niche with bardoxolone-methyl (CDDO-Me) prevented BCSC stemness in vitro and in vivo. These findings highlight the novel regulatory mechanism of Rab13 in BCSC, with important implications for the development of therapeutic strategies for disrupting the BCSC niche.
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http://dx.doi.org/10.1158/0008-5472.CAN-21-4097DOI Listing
April 2022

Precise Motion Control of a Power Line Inspection Robot Using Hybrid Time Delay and State Feedback Control.

Front Robot AI 2022 24;9:746991. Epub 2022 Feb 24.

School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.

Intelligent robotic inspection of power transmission lines has proved to be an excellent alternative to the traditional manual inspection methods, which are often tedious, expensive, and dangerous. However, to achieve effective automation of the robots under different working environments, the dynamic analysis and control of the robots need to be investigated for an efficient inspection process. Nonetheless, the application of control techniques for the position, speed and vibration control of these robots has not been explored in detail by the existing literature. Thus, an approach for precise motion control of the sliding inspection robot is presented in this paper. The main contribution of the study is that the chattering problem associated with the traditional command shaping time delay control (TDC) was minimized by smoothing the chattered input signal. Then, the improved control (iTDC) which is effective for oscillation control is hybridized with a pole placement based feedback control (PPC) to achieve both position and the sway angle control of the robot. The nonlinear and the linearized models of the sliding robot were established for the control design and analysis. Three parameters of the robot, namely, the length of the suspended arm, the mass of the payload, and the friction coefficient of different surfaces, were used to assess the robustness of the controller to model uncertainties. The iTDC + PPC has improved the velocity of TDC by 201% and minimizes the angular oscillation of PPC by 209%. Thus, the results demonstrate that the hybridized iTDC + PPC approach could be effectively applied for precise motion control of the sliding inspection robot.
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http://dx.doi.org/10.3389/frobt.2022.746991DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907471PMC
February 2022

Decreased Functional Connectivities of Low-Degree Level Rich Club Organization and Caudate in Post-stroke Cognitive Impairment Based on Resting-State fMRI and Radiomics Features.

Front Neurosci 2021 16;15:796530. Epub 2022 Feb 16.

Department of Rehabilitation Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.

Background: Stroke is an important cause of cognitive impairment. Rich club organization, a highly interconnected network brain core region, is closely related to cognition. We hypothesized that the disturbance of rich club organization exists in patients with post-stroke cognitive impairment (PSCI).

Methods: We collected data on resting-state functional magnetic resonance imaging (rs-fMRI) with 21 healthy controls (HC), 16 hemorrhagic stroke (hPSCI), and 21 infarct stroke (iPSCI). 3D shape features and first-order statistics of stroke lesions were extracted using 3D slicer software. Additionally, we assessed cognitive function using the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE).

Results: Normalized rich club coefficients were higher in hPSCI and iPSCI than HC at low-degree -levels ( = 1-8 in iPSCI, = 2-8 in hPSCI). Feeder and local connections were significantly decreased in PSCI patients versus HC, mainly distributed in salience network (SN), default-mode network (DMN), cerebellum network (CN), and orbitofrontal cortex (ORB), especially involving the right and left caudate with changed nodal efficiency. The feeder and local connections of significantly between-group difference were positively related to MMSE and MoCA scores, primarily distributed in the sensorimotor network (SMN) and visual network (VN) in hPSCI, SN, and DMN in iPSCI. Additionally, decreased local connections and low-degree ϕ(k) were correlated to 3D shape features and first-order statistics of stroke lesions.

Conclusion: This study reveals the disrupted low-degree level rich club organization and relatively preserved functional core network in PSCI patients. Decreased feeder and local connections in cognition-related networks (DMN, SN, CN, and ORB), particularly involving the caudate nucleus, may offer insight into pathological mechanism of PSCI patients. The shape and signal features of stroke lesions may provide an essential clue for the damage of functional connectivity and the whole brain networks.
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http://dx.doi.org/10.3389/fnins.2021.796530DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890030PMC
February 2022

Random Network and Non-rich-club Organization Tendency in Children With Non-syndromic Cleft Lip and Palate After Articulation Rehabilitation: A Diffusion Study.

Front Neurol 2022 2;13:790607. Epub 2022 Feb 2.

Department of Radiology, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.

Objective: The neuroimaging pattern in brain networks after articulation rehabilitation can be detected using graph theory and multivariate pattern analysis (MVPA). In this study, we hypothesized that the characteristics of the topology pattern of brain structural network in articulation-rehabilitated children with non-syndromic cleft lip and palate (NSCLP) were similar to that in healthy comparisons.

Methods: A total of 28 children with NSCLP and 28 controls with typical development were scanned for diffusion tensor imaging on a 3T MRI scanner. Structural networks were constructed, and their topological properties were obtained. Besides, the Chinese language clear degree scale (CLCDS) scores were used for correlation analysis with topological features in patients with NSCLP.

Results: The NSCLP group showed a similar rich-club connection pattern, but decreased small-world index, normalized rich-club coefficient, and increased connectivity strength of connections compared to controls. The univariate and multivariate patterns of the structural network in articulation-rehabilitated children were primarily in the feeder and local connections, covering sensorimotor, visual, frontoparietal, default mode, salience, and language networks, and orbitofrontal cortex. In addition, the connections that were significantly correlated with the CLCDS scores, as well as the weighted regions for classification, were chiefly distributed in the dorsal and ventral stream associated with the language networks of the non-dominant hemisphere.

Conclusion: The average level rich-club connection pattern and the compensatory of the feeder and local connections mainly covering language networks may be related to the CLCDS in articulation-rehabilitated children with NSCLP. However, the patterns of small-world and rich-club structural organization in the articulation-rehabilitated children exhibited a random network and non-rich-club organization tendency. These findings enhanced the understanding of neuroimaging patterns in children with NSCLP after articulation rehabilitation.
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http://dx.doi.org/10.3389/fneur.2022.790607DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847279PMC
February 2022

Distinct Hypothalamic Paraventricular Nucleus Inputs to the Cingulate Cortex and Paraventricular Thalamic Nucleus Modulate Anxiety and Arousal.

Front Pharmacol 2022 28;13:814623. Epub 2022 Jan 28.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Insomnia and anxiety are two common clinical diseases that threaten people's physical and mental health. Insomnia and anxiety may share some similar underlying neural circuit mechanisms in the brain. In this study, we combine techniques including chemo-fMRI, optogenetics, and chemogenetics to reveal that the glutamatergic neurons of the paraventricular hypothalamic nucleus (PVN) regulate both anxiety and arousal through two different downstream neural circuits. Optogenetic activation of the PVN-cingulate cortex (Cg) neural circuit triggers anxiety-like behaviors in mice without affecting the wakefulness, while optogenetic activation of the PVN-paraventricular thalamic nucleus (PVT) neural circuit promotes wakefulness in mice without affecting anxiety-like behaviors. Our research reveals that PVN is a key brain area for controlling anxiety and arousal behaviors. We also provide a neurological explanation for anxiety disorder and insomnia which may offer guidance for treatments including drugs or transcranial magnetic stimulation for the patients.
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http://dx.doi.org/10.3389/fphar.2022.814623DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832877PMC
January 2022

Radiomics Analysis Based on Magnetic Resonance Imaging for Preoperative Overall Survival Prediction in Isocitrate Dehydrogenase Wild-Type Glioblastoma.

Front Neurosci 2021 28;15:791776. Epub 2022 Jan 28.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Purpose: This study aimed to develop a radiomics signature for the preoperative prognosis prediction of isocitrate dehydrogenase (IDH)-wild-type glioblastoma (GBM) patients and to provide personalized assistance in the clinical decision-making for different patients.

Materials And Methods: A total of 142 IDH-wild-type GBM patients classified using the new classification criteria of WHO 2021 from two centers were included in the study and randomly divided into a training set and a test set. Firstly, their clinical characteristics were screened using univariate Cox regression. Then, the radiomics features were extracted from the tumor and peritumoral edema areas on their contrast-enhanced T1-weighted image (CE-T1WI), T2-weighted image (T2WI), and T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) magnetic resonance imaging (MRI) images. Subsequently, inter- and intra-class correlation coefficient (ICC) analysis, Spearman's correlation analysis, univariate Cox, and the least absolute shrinkage and selection operator (LASSO) Cox regression were used step by step for feature selection and the construction of a radiomics signature. The combined model was established by integrating the selected clinical factors. Kaplan-Meier analysis was performed for the validation of the discrimination ability of the model, and the C-index was used to evaluate consistency in the prediction. Finally, a Radiomics + Clinical nomogram was generated for personalized prognosis analysis and then validated using the calibration curve.

Results: Analysis of the clinical characteristics resulted in the screening of four risk factors. The combination of ICC, Spearman's correlation, and univariate and LASSO Cox resulted in the selection of eight radiomics features, which made up the radiomics signature. Both the radiomics and combined models can significantly stratify high- and low-risk patients ( < 0.001 and < 0.05 for the training and test sets, respectively) and obtained good prediction consistency (C-index = 0.74-0.86). The calibration plots exhibited good agreement in both 1- and 2-year survival between the prediction of the model and the actual observation.

Conclusion: Radiomics is an independent preoperative non-invasive prognostic tool for patients who were newly classified as having IDH-wild-type GBM. The constructed nomogram, which combined radiomics features with clinical factors, can predict the overall survival (OS) of IDH-wild-type GBM patients and could be a new supplement to treatment guidelines.
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http://dx.doi.org/10.3389/fnins.2021.791776DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833841PMC
January 2022

Altered Effective Connectivity Measured by Resting-State Functional Magnetic Resonance Imaging in Posterior Parietal-Frontal-Striatum Circuit in Patients With Disorder of Consciousness.

Front Neurosci 2021 20;15:766633. Epub 2022 Jan 20.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Objective: Disorder of consciousness (DoC) resulting from severe brain injury is characterized by cortical and subcortical dysconnectivity. However, research on seed-based effective connectivity (EC) of DoC might be questioned as to the heterogeneity of prior assumptions.

Methods: Functional MRI data of 16 DoC patients and 16 demographically matched healthy individuals were analyzed. Revised coma recovery scale (CRS-R) scores of patients were acquired. Seed-based mapping permutation of subject images (SDM-PSI) of meta-analysis was performed to quantitatively synthesize results from neuroimaging studies that evaluated resting-state functional activity in DoC patients. Spectral dynamic causal modeling (spDCM) was used to assess how EC altered between brain regions in DoC patients compared to healthy individuals.

Results: We found increased effective connectivity in left striatum and decreased effective connectivity in bilateral precuneus (preCUN)/posterior cingulate cortex (PCC), bilateral midcingulate cortex and left middle frontal gyrus in DoC compared with the healthy controls. The resulting pattern of interaction in DoC indicated disrupted connection and disturbance of posterior parietal-frontal-striatum, and reduced self-inhibition of preCUN/PCC. The strength of self-inhibition of preCUN/PCC was negatively correlated with the total score of CRS-R.

Conclusion: This impaired EC in DoC may underlie disruption in the posterior parietal-frontal-striatum circuit, particularly damage to the cortico-striatal connection and possible loss of preCUN/PCC function as the main regulatory hub.
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http://dx.doi.org/10.3389/fnins.2021.766633DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830329PMC
January 2022

Suppression of colitis-associated colorectal cancer by scutellarin through inhibiting Hedgehog signaling pathway activity.

Phytomedicine 2022 Feb 4;98:153972. Epub 2022 Feb 4.

State Key Laboratory of Southwestern Chinese Medicine Resources, Department of Pharmacology, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China. Electronic address:

Background: Colitis-associated colorectal cancer (CAC) is a specific type of colorectal cancer (CRC) and mainly develops from long-term intestinal inflammation. Mounting evidence reveals that activated Hedgehog signaling pathway plays a vital role in the pathogenesis of CRC. Scutellarin is a type of phytochemical flavonoid with a powerful efficacy on various malignancies, including CRC.

Aim: Here, we studied the therapeutic effect of scutellarin on CRC and its direct regulating targets.

Methods: The CAC model in mice was established by azomethane oxide (AOM) and sodium dextran sulfate (DSS), followed by detection of the efficacies of scutellarin on the carcinogenesis, apoptosis, inflammation, Hedgehog signaling cascade and complicated inflammatory networks in CAC tissues of mice. In CRC SW480 cells, the effects of scutellarin on malignant phenotype, apoptosis and Hedgehog signaling were examined. In TNF-α-stimulated IEC-6 intestinal epithelial cells, the actions of scutellarin on inflammatory response and Hedgehog signals were assessed as well.

Results: Scutellarin significantly ameliorated AOM/DSS-caused CAC in mice and induced apoptosis in CAC tissues of mice, by inhibiting NF-κB (nuclear factor kappa B) -mediated inflammation and Hedgehog signaling axis. RNA-seq and transcriptome analysis indicated that scutellarin regulated complicated inflammatory networks in mouse CAC. Also, scutellarin suppressed the proliferation, migration, colony formation, and induced apoptosis of SW480 cells by down-regulation of Hedgehog signaling pathway activity. Additionally, scutellarin lessened NF-κB-mediated inflammatory response in TNF-α-stimulated IEC-6 cells, by attenuating Hedgehog signaling cascade.

Conclusion: Scutellarin potently ameliorates CAC by suppressing Hedgehog signaling pathway activity, underpinning the promising application of scutellarin to CRC in clinical settings.
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http://dx.doi.org/10.1016/j.phymed.2022.153972DOI Listing
February 2022

Effect of Rho GTPase activating protein 9 combined with preoperative ratio of platelet distribution width to platelet count on prognosis of patients with serous ovarian cancer.

Transl Cancer Res 2021 Oct;10(10):4440-4453

Department of Gynecologic Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

Background: This study aimed to investigate the relationship between Rho GTPase activating protein 9 (ARHGAP9) combined with preoperative ratio of platelet distribution width to platelet count (PDW/PLT) and patients prognosis with serous ovarian cancer.

Methods: The clinical data of 80 patients with serous ovarian cancer treated in Jiangsu Cancer Hospital from May 2011 to May 2016 were analyzed retrospectively. We verified ARHGAP9 expression in The Cancer Genome Atlas (TCGA) database, then detected messenger RNA (mRNA) expression encoding ARHGAP9 in ovarian cancer tissue samples using reverse transcription quantitative polymerase chain reaction (RT-qPCR). These patients were divided into an ARHGAP9 low-expression group and an ARHGAP9 high-expression group. The optimal critical value of PDW/PLT was determined by receiver operating characteristic (ROC) curve. The patients were divided into low PDW/PLT group and high PDW/PLT group. Kaplan-Meier method and log-rank test were used for univariate survival analysis, Cox regression method was used for multivariate analysis, and then a nomogram was constructed for internal verification.

Results: The ARHGAP9 protein was highly expressed both in TCGA serous ovarian cancer database and the serous ovarian cancer tumor tissues. There were significant differences in menstrual status, the International Federation of Gynecology and Obstetrics (FIGO) stage and grade between the ARHGAP9 low expression group and ARHGAP9 high expression group (all P<0.05). There were significant differences in FIGO stage, lymph node metastasis, and ascites between the low PDW/PLT group and high PDW/PLT group (all P<0.05). Finally, 80 patients were included, with a mortality rate of 45.0% and a survival rate of 55.0%; the median progression-free survival (PFS) was 19 months, and the median overall survival (OS) was 62.5 months. Cox multivariate analysis showed that PDW/PLT and ARHGAP9 were independent risk factors for tumor progression (P=0.026 and P=0.028, respectively). In the internal validation, the C-index of the nomogram was 0.6518 [95% confidence interval (CI): 0.5685 to 0.7352], and the prediction model had certain accuracy.

Conclusions: ARHGAP9 and PDW/PLT Decrease can significantly prolong OS and PFS in serous ovarian cancer patients. Therefore, ARHGAP9 can be used as a new predictive biomarker and may be related to the immune infiltration of serous ovarian cancer.
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http://dx.doi.org/10.21037/tcr-21-1946DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797782PMC
October 2021

Impediment of Cerebrospinal Fluid Drainage Through Glymphatic System in Glioma.

Front Oncol 2021 10;11:790821. Epub 2022 Jan 10.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.

Background: Cerebrospinal fluid (CSF) plays an important role in maintaining tissue homeostasis in the central nervous system. In 2012, the new CSF outflow pathway, "the glymphatic system," was discovered. The glymphatic system mediates CSF and interstitial fluid exchange through the perivascular pathway, which eliminates harmful solutes in the brain parenchyma. In recent studies, the importance of the glymphatic system has been demonstrated in healthy and neurodegenerative disease brains. However, there is limited research on the function of the CSF in brain tumors. Intracranial hypertension caused by glioma can affect CSF drainage, which impacts the delivery of chemotherapy drugs intrathecal injection. This study focused on changes in the glymphatic system and the role of aquaporin 4 (AQP4) in glymphatic transport in glioma.

Methods: In glioma-bearing rats, the effect of tracer infusion on the intracranial pressure (ICP) was evaluated using an ICP microsensor. magnetic resonance imaging and bright field were used to monitor CSF tracer distribution after cisterna magna injection. AQP4 expression was quantitatively detected, and AQP4 in the astrocytes around the vessels was observed using immunofluorescence.

Results: The ICP of the tumor group was higher than that of the control group and the infusion rate of 2 µl/min did not affect ICP. and imaging showed that the circulation of CSF tracers was significantly impaired in the tumor. High-power confocal microscopy revealed that, in the tumor, the surrounding of AQP4 by Evans Blue was decreased. In both tumor and contralateral areas, data indicated that the number of cluster designation 34 (CD34) alpha-smooth muscle actin (α-SMA) veins were more than that of CD34α-SMA arteries. Moreover, in the tumor area, AQP4 in the astrocytes around the vessels was decreased.

Conclusions: These findings indicate that the para-arterial influx of subarachnoid CSF is limited in glioma, especially in those with reduced levels of the fundamental protein AQP4. Our results provide evidence toward a potential new treatment method for glioma in the future.
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http://dx.doi.org/10.3389/fonc.2021.790821DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784869PMC
January 2022

Prognosis and antibody profiles in survivors of critical illness from COVID-19: a prospective multicentre cohort study.

Br J Anaesth 2022 03 26;128(3):491-500. Epub 2021 Nov 26.

Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Background: There is a need to assess the long-term outcomes of survivors of critical illness from COVID-19.

Methods: Ninety-two survivors of critical illness from COVID-19 from four hospitals in Hubei Province, China participated in this prospective cohort study. Multiple characteristics, including lung function (lung volumes, diffusing capacity for carbon monoxide, chest computed tomography scores, and walking capacity); immune status (SARS-CoV-2-neutralising antibody and all subtypes of immunoglobulin (Ig) G against SARS-CoV-2, immune cells in response to ex vivo antigen peptide stimuli, and lymphocyte count and its subtypes); liver, coagulation, and kidney functions; quality of life; cognitive function; and mental status, were assessed after 3, 6, and 12 months of follow-up.

Results: Amongst the 92 enrolled survivors, 72 (78%) patients required mechanical ventilation. At 12 months, the predicted percentage diffusing capacity of lung for carbon monoxide was 82% (inter-quartile range [IQR]: 76-97%) with a residual volume of 77 (64-88)%. Other lung function parameters and the 6-min walk test improved gradually over time and were almost back to normal by 12 months. The titres of IgG and neutralising antibody to COVID-19 remained high at 12 months compared with those of controls who were not infected with COVID-19, although IgG titres decreased significantly from 34.0 (IQR: 23.8-74.3) to 15.0 (5.8-24.3) AU ml (P<0.001), whereas neutralising antibodies decreased from 29.99 (IQR: 19.43-53.93) AU ml at 6 months to 19.75 (13.1-29.8) AU ml (P<0.001) at 12 months. In general, liver, kidney, physical, and mental functions also improved over time.

Conclusions: Survivors of critical illness from COVID-19 show some persistent long-term impairments in lung function. However, a majority of these tests were normal by 12 months. These patients still had detectable levels of neutralising antibodies against SARS-CoV-2 and all types of IgG at 12 months, but the levels had declined over this time period.

Clinical Trial Registration: None.
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http://dx.doi.org/10.1016/j.bja.2021.11.024DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616737PMC
March 2022

Patient-Derived Upper Tract Urothelial Carcinoma Organoids as a Platform for Drug Screening.

Adv Sci (Weinh) 2022 02 16;9(4):e2103999. Epub 2021 Dec 16.

Department of Urology, Peking University First Hospital, National Urological Cancer Center, Beijing, 100034, China.

Upper tract urothelial carcinomas (UTUCs) are rare entities that are usually diagnosed at advanced stages. Research on UTUC pathobiology and clinical management has been hampered by the lack of models accurately reflecting disease nature and diversity. In this study, a modified organoid culture system is used to generate a library of 25 patient-derived UTUC organoid lines retaining the histological architectures, marker gene expressions, genomic landscapes, and gene expression profiles of their parental tumors. The study demonstrates that the responses of UTUC organoids to anticancer drugs can be identified and the model supports the exploration of novel treatment strategies. This work proposes a modified protocol for generating patient-derived UTUC organoid lines that may help elucidate UTUC pathophysiology and assess the responses of these diseases to various drug therapies in personalized medicine.
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http://dx.doi.org/10.1002/advs.202103999DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811809PMC
February 2022

A small molecule targeting ALOX12-ACC1 ameliorates nonalcoholic steatohepatitis in mice and macaques.

Sci Transl Med 2021 12 15;13(624):eabg8116. Epub 2021 Dec 15.

Department of Anesthesiology, Cardiovascular Research Laboratories, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Nonalcoholic steatohepatitis (NASH) is a progressive liver disease and has become a leading indication for liver transplantation in the United States. The development of effective therapies for NASH is a major unmet need. Here, we identified a small molecule, IMA-1, that can treat NASH by interrupting the arachidonate 12-lipoxygenase (ALOX12)–acetyl-CoA carboxylase 1 (ACC1) interaction. IMA-1 markedly blocked diet-induced NASH progression in both male mice and macaque therapeutic models. The anti-NASH efficacy of IMA-1 was comparable to ACC inhibitor in both species. Protein docking simulations and following functional experiments suggested that the anti-NASH effects of IMA-1 were largely dependent on its direct binding to a pocket in ALOX12 proximal to its ACC1-interacting surface instead of inhibiting ALOX12 lipoxygenase activity. IMA-1 treatment did not elicit hyperlipidemia, a known side effect of direct inhibition of ACC enzymatic activity, in both mice and macaques. These findings provide proof of concept across multiple species for the use of small molecule–based therapies for NASH.
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http://dx.doi.org/10.1126/scitranslmed.abg8116DOI Listing
December 2021

Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis.

Appl Soft Comput 2022 Jan 24;115:108088. Epub 2021 Nov 24.

National- Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.

The coronavirus disease 2019 (COVID-19) pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a sharp increase in hospitalized patients with multi-organ disease pneumonia. Early and automatic diagnosis of COVID-19 is essential to slow down the spread of this epidemic and reduce the mortality of patients infected with SARS-CoV-2. In this paper, we propose a joint multi-center sparse learning (MCSL) and decision fusion scheme exploiting chest CT images for automatic COVID-19 diagnosis. Specifically, considering the inconsistency of data in multiple centers, we first convert CT images into histogram of oriented gradient (HOG) images to reduce the structural differences between multi-center data and enhance the generalization performance. We then exploit a 3-dimensional convolutional neural network (3D-CNN) model to learn the useful information between and within 3D HOG image slices and extract multi-center features. Furthermore, we employ the proposed MCSL method that learns the intrinsic structure between multiple centers and within each center, which selects discriminative features to jointly train multi-center classifiers. Finally, we fuse these decisions made by these classifiers. Extensive experiments are performed on chest CT images from five centers to validate the effectiveness of the proposed method. The results demonstrate that the proposed method can improve COVID-19 diagnosis performance and outperform the state-of-the-art methods.
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http://dx.doi.org/10.1016/j.asoc.2021.108088DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611958PMC
January 2022

Shikonin, a naphthalene ingredient: Therapeutic actions, pharmacokinetics, toxicology, clinical trials and pharmaceutical researches.

Phytomedicine 2022 Jan 24;94:153805. Epub 2021 Oct 24.

State Key Laboratory of Southwestern Chinese Medicine Resources, Department of Pharmacology, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Background: Shikonin is one of the major phytochemical components of Lithospermum erythrorhizon (Purple Cromwell), which is a type of medicinal herb broadly utilized in traditional Chinese medicine. It is well established that shikonin possesses remarkable therapeutic actions on various diseases, with the underlying mechanisms, pharmacokinetics and toxicological effects elusive. Also, the clinical trial and pharmaceutical study of shikonin remain to be comprehensively delineated.

Purpose: The present review aimed to systematically summarize the updated knowledge regarding the therapeutic actions, pharmacokinetics, toxicological effects, clinical trial and pharmaceutical study of shikonin.

Methods: The information contained in this review article were retrieved from some authoritative databases including Web of Science, PubMed, Google scholar, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database and so on, till August 2021.

Results: Shikonin exerts multiple therapeutic efficacies, such as anti-inflammation, anti-cancer, cardiovascular protection, anti-microbiomes, analgesia, anti-obesity, brain protection, and so on, mainly by regulating the NF-κB, PI3K/Akt/MAPKs, Akt/mTOR, TGF-β, GSK3β, TLR4/Akt signaling pathways, NLRP3 inflammasome, reactive oxygen stress, Bax/Bcl-2, etc. In terms of pharmacokinetics, shikonin has an unfavorable oral bioavailability, 64.6% of the binding rate of plasma protein, and enhances some metabolic enzymes, particularly including cytochrome P450. In regard to the toxicological effects, shikonin may potentially cause nephrotoxicity and skin allergy. The above pharmacodynamics and pharmacokinetics of shikonin have been validated by few clinical trials. In addition, pharmaceutical innovation of shikonin with novel drug delivery system such as nanoparticles, liposomes, microemulsions, nanogel, cyclodextrin complexes, micelles and polymers are beneficial to the development of shikonin-based drugs.

Conclusions: Shikonin is a promising phytochemical for drug candidates. Extensive and intensive explorations on shikonin are warranted to expedite the utilization of shikonin-based drugs in the clinical setting.
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http://dx.doi.org/10.1016/j.phymed.2021.153805DOI Listing
January 2022

Identification of miRNA Signature Associated With Erectile Dysfunction in Type 2 Diabetes Mellitus by Support Vector Machine-Recursive Feature Elimination.

Front Genet 2021 11;12:762136. Epub 2021 Oct 11.

The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Diabetic mellitus erectile dysfunction (DMED) is one of the most common complications of diabetes mellitus (DM), which seriously affects the self-esteem and quality of life of diabetics. MicroRNAs (miRNAs) are endogenous non-coding RNAs whose expression levels can affect multiple cellular processes. Many pieces of studies have demonstrated that miRNA plays a role in the occurrence and development of DMED. However, the exact mechanism of this process is unclear. Hence, we apply miRNA sequencing from blood samples of 10 DMED patients and 10 DM controls to study the mechanisms of miRNA interactions in DMED patients. Firstly, we found four characteristic miRNAs as signature by the SVM-RFE method (hsa-let-7E-5p, hsa-miR-30 days-5p, hsa-miR-199b-5p, and hsa-miR-342-3p), called DMEDSig-4. Subsequently, we correlated DMEDSig-4 with clinical factors and further verified the ability of these miRNAs to classify samples. Finally, we functionally verified the relationship between DMEDSig-4 and DMED by pathway enrichment analysis of miRNA and its target genes. In brief, our study found four key miRNAs, which may be the key influencing factors of DMED. Meanwhile, the DMEDSig-4 could help in the development of new therapies for DMED.
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http://dx.doi.org/10.3389/fgene.2021.762136DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542849PMC
October 2021

Neuregulin-1-dependent control of amygdala microcircuits is critical for fear extinction.

Neuropharmacology 2021 12 19;201:108842. Epub 2021 Oct 19.

Zhongnan Hospital of Wuhan University, Wuhan University Center for Pathology and Molecular Diagnostics, Wuhan, 430071, China; Department of Pathology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China. Electronic address:

The posttraumatic stress disorder is marked by an impaired ability to extinct fear memory acquired in trauma. Although previous studies suggest that fear extinction depends on the function of the amygdala, the underlying mechanisms are unclear. We found that NRG1 receptors (ErbB4) were abundantly expressed in the intercalated cells mass of amygdala (ITC). The NRG1-ErbB4 pathway in the ITC promotes fear extinction. The NRG1-ErbB4 pathway in the ITC did not affect excitatory input to ITC neurons from BLA neurons but increased feed-forward inhibition of (the central medial nucleus of the amygdala) CeM neurons through increased GABAergic neurotransmission of ITC neurons. We also found that the NRG1-ErbB4 signaling pathway in ITC might regulate fear extinction through P/Q-type voltage-activated Ca channels (VACCs) but not through L- or N-type VACCs. Overall, our results suggest that the NRG1-ErbB4 signaling pathway in the ITC might represent a potential target for the treatment of anxiety disorders.
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http://dx.doi.org/10.1016/j.neuropharm.2021.108842DOI Listing
December 2021

Chirality memory of α-methylene-π-allyl iridium species.

Chem Sci 2021 Sep 21;12(35):11831-11838. Epub 2021 Jul 21.

State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences 345 Lingling Lu Shanghai 200032 P. R. China masm.fudan.edu.cn.

Chirality is one of the most important types of steric information in nature. In addition to central chirality, axial chirality has been catching more and more attention from scientists. However, although much attention has recently been paid to the creation of axial chirality and the chirality transfer of allenes, no study has been disclosed as to the memory of such an axial chirality. The reason is very obvious: the chiral information is stored over three carbon atoms. Here, the first example of the memory of chirality (MOC) of allenes has been recorded, which was realized an optically active alkylidene-π-allyl iridium intermediate, leading to a highly stereoselective electrophilic allenylation with amines. Specifically, we have established the transition metal-mediated highly stereoselective 2,3-allenylation of amines by using optically active 2,3-allenyl carbonates under the catalysis of a nonchiral iridium(iii) complex. This method is compatible with sterically bulky and small substituents on both amines and 2,3-allenyl carbonates and furnishes the desired optically active products with a high efficiency of chirality transfer. Further mechanistic experiments reveal that the isomerization of the optically active alkylidene-π-allyl iridium intermediate is very slow.
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http://dx.doi.org/10.1039/d1sc02636dDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442685PMC
September 2021

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.

IEEE J Biomed Health Inform 2022 01 17;26(1):172-182. Epub 2022 Jan 17.

Till March 31st, 2021, the coronavirus disease 2019 (COVID-19) had reportedly infected more than 127 million people and caused over 2.5 million deaths worldwide. Timely diagnosis of COVID-19 is crucial for management of individual patients as well as containment of the highly contagious disease. Having realized the clinical value of non-contrast chest computed tomography (CT) for diagnosis of COVID-19, deep learning (DL) based automated methods have been proposed to aid the radiologists in reading the huge quantities of CT exams as a result of the pandemic. In this work, we address an overlooked problem for training deep convolutional neural networks for COVID-19 classification using real-world multi-source data, namely, the data source bias problem. The data source bias problem refers to the situation in which certain sources of data comprise only a single class of data, and training with such source-biased data may make the DL models learn to distinguish data sources instead of COVID-19. To overcome this problem, we propose MIx-aNd-Interpolate (MINI), a conceptually simple, easy-to-implement, efficient yet effective training strategy. The proposed MINI approach generates volumes of the absent class by combining the samples collected from different hospitals, which enlarges the sample space of the original source-biased dataset. Experimental results on a large collection of real patient data (1,221 COVID-19 and 1,520 negative CT images, and the latter consisting of 786 community acquired pneumonia and 734 non-pneumonia) from eight hospitals and health institutions show that: 1) MINI can improve COVID-19 classification performance upon the baseline (which does not deal with the source bias), and 2) MINI is superior to competing methods in terms of the extent of improvement.
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http://dx.doi.org/10.1109/JBHI.2021.3119325DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908883PMC
January 2022

Room Temperature Allenation of Terminal Alkynes with Aldehydes.

Angew Chem Int Ed Engl 2021 12 3;60(49):25708-25713. Epub 2021 Nov 3.

State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Lu, Shanghai, 200032, P. R. China.

A gold-catalyzed room temperature allenation of terminal alkynes (ATA) with aldehydes affording 1,3-disubstituted allenes with diverse functional groups has been developed by identifying a gold(I) catalyst and an amine. The practicality of this reaction has been demonstrated by a ten gram-scale synthesis and the synthetic potentials have been demonstrated via various transformations and formal total synthesis of (-)-centrolobine. Mechanistic studies revealed that the gold catalyst, the aldehyde effect, the fluoroalkyl hydroxyl solvent (TFE or HFIP) and the structure of amine are vital in this room temperature ATA reaction.
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http://dx.doi.org/10.1002/anie.202109879DOI Listing
December 2021

Pharmacological inhibition of arachidonate 12-lipoxygenase ameliorates myocardial ischemia-reperfusion injury in multiple species.

Cell Metab 2021 10 17;33(10):2059-2075.e10. Epub 2021 Sep 17.

Gannan Institute of Translational Medicine, Ganzhou 341000, China.

Myocardial ischemia-reperfusion (MIR) injury is a major cause of adverse outcomes of revascularization after myocardial infarction. To identify the fundamental regulator of reperfusion injury, we performed metabolomics profiling in plasma of individuals before and after revascularization and identified a marked accumulation of arachidonate 12-lipoxygenase (ALOX12)-dependent 12-HETE following revascularization. The potent induction of 12-HETE proceeded by reperfusion was conserved in post-MIR in mice, pigs, and monkeys. While genetic inhibition of Alox12 protected mouse hearts from reperfusion injury and remodeling, Alox12 overexpression exacerbated MIR injury. Remarkably, pharmacological inhibition of ALOX12 significantly reduced cardiac injury in mice, pigs, and monkeys. Unexpectedly, ALOX12 promotes cardiomyocyte injury beyond its enzymatic activity and production of 12-HETE but also by its suppression of AMPK activity via a direct interaction with its upstream kinase TAK1. Taken together, our study demonstrates that ALOX12 is a novel AMPK upstream regulator in the post-MIR heart and that it represents a conserved therapeutic target for the treatment of myocardial reperfusion injury.
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http://dx.doi.org/10.1016/j.cmet.2021.08.014DOI Listing
October 2021

Gray matter asymmetry in asymptomatic carotid stenosis.

Hum Brain Mapp 2021 12 9;42(17):5665-5676. Epub 2021 Sep 9.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan City, Hubei Province, China.

Even clinically "asymptomatic" carotid stenosis is associated with multidomain cognitive impairment, gray matter (GM) atrophy, and silent lesion. However, the links between them remain unclear. Using structural MRI data, we examined GM asymmetry index (AI) and white matter hyperintensity (WMH) in 24 patients with severe asymptomatic carotid stenosis (SACS), 24 comorbidity-matched controls, and independent samples of 84 elderly controls and 22 young adults. As compared to controls, SACS patients showed worse verbal memories, higher WMH burden, and right-lateralized GM in posterior middle temporal and mouth-somatomotor regions. These clusters extended to pars triangularis, lateral temporal, and cerebellar regions, when compared with young adults. Further, a full-path of WMH burden (X), GM volume (atrophy, M1), AI (asymmetry, M2), and neuropsychological variables (Y) through a serial mediation model was analyzed. This analysis identified that left-dominated GM atrophy and right-lateralized asymmetry in the posterior middle temporal cortex mediated the relationship between WMH burden and recall memory in SACS patients. These results suggest that the unbalanced hemispheric atrophy in the posterior middle temporal cortex is crucial to mediating relationship between WMH burden and verbal recall memories, which may underlie accelerated aging and cognitive deterioration in patients with SACS and other vascular cognitive impairment.
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http://dx.doi.org/10.1002/hbm.25645DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559457PMC
December 2021

Using Fractional Amplitude of Low-Frequency Fluctuations and Functional Connectivity in Patients With Post-stroke Cognitive Impairment for a Simulated Stimulation Program.

Front Aging Neurosci 2021 13;13:724267. Epub 2021 Aug 13.

Department of Rehabilitation Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.

Stroke causes alterations in local spontaneous neuronal activity and related networks functional connectivity. We hypothesized that these changes occur in patients with post-stroke cognitive impairment (PSCI). Fractional amplitude of low-frequency fluctuations (fALFF) was calculated in 36 patients with cognitive impairment, including 16 patients with hemorrhagic stroke (hPSCI group), 20 patients with ischemic stroke (iPSCI group). Twenty healthy volunteers closely matched to the patient groups with respect to age and gender were selected as the healthy control group (HC group). Regions with significant alteration were regarded as regions of interest (ROIs) using the one-way analysis of variance, and then the seed-based functional connectivity (FC) with other regions in the brain was analyzed. Pearson correlation analyses were performed to investigate the correlation between functional indexes and cognitive performance in patients with PSCI. Our results showed that fALFF values of bilateral posterior cingulate cortex (PCC)/precuneus and bilateral anterior cingulate cortex in the hPSCI group were lower than those in the HC group. Compared with the HC group, fALFF values were lower in the superior frontal gyrus and basal ganglia in the iPSCI group. Correlation analysis showed that the fALFF value of left PCC was positively correlated with MMSE scores and MoCA scores in hPSCI. Besides, the reduction of seed-based FC values was reported, especially in regions of the default-mode network (DMN) and the salience network (SN). Abnormalities of spontaneous brain activity and functional connectivity are observed in PSCI patients. The decreased fALFF and FC values in DMN of patients with hemorrhagic and SN of patients with ischemic stroke may be the pathological mechanism of cognitive impairment. Besides, we showed how to use fALFF values and functional connectivity maps to specify a target map on the cortical surface for repetitive transcranial magnetic stimulation (rTMS).
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http://dx.doi.org/10.3389/fnagi.2021.724267DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414996PMC
August 2021

Voxel-Wise Analysis of Structural and Functional MRI for Lateralization of Handedness in College Students.

Front Hum Neurosci 2021 13;15:687965. Epub 2021 Aug 13.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

The brain structural and functional basis of lateralization in handedness is largely unclear. This study aimed to explore this issue by using voxel-mirrored homotopic connectivity (VMHC) measured by resting-state functional MRI (R-fMRI) and gray matter asymmetry index (AI) by high-resolution anatomical images. A total of 50 healthy subjects were included, among them were 13 left-handers, 24 right-handers, and 13 mixed-handers. Structural and R-fMRI data of all subjects were collected. There were significant differences in VMHC among the three groups in lateral temporal-occipital, orbitofrontal, and primary hand motor regions. Meanwhile, there were significant differences in AI that existed in medial prefrontal, superior frontal, and superior temporal regions. Besides, the correlation analysis showed that the closer the handedness score to the extreme of the left-handedness (LH), the stronger the interhemispheric functional connectivity, as well as more leftward gray matter. In general, left/mixed-handedness (MH) showed stronger functional homotopy in the transmodal association regions that depend on the integrity of the corpus callosum, but more variable in primary sensorimotor cortices. Furthermore, the group differences in VMHC largely align with that in AI. We located the specific regions for LH/MH from the perspective of structural specification and functional integration, suggesting the plasticity of hand movement and different patterns of emotional processing.
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http://dx.doi.org/10.3389/fnhum.2021.687965DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414999PMC
August 2021

Updated pharmacological effects of Lonicerae japonicae flos, with a focus on its potential efficacy on coronavirus disease-2019 (COVID-19).

Curr Opin Pharmacol 2021 10 10;60:200-207. Epub 2021 Aug 10.

State Key Laboratory of Southwestern Chinese Medicine Resources, Department of Pharmacology, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. Electronic address:

Lonicerae japonicae flos (LJF), known as Jin Yin Hua in Chinese, is one of the most commonly used traditional Chinese herbs and nutraceuticals. Nowadays, LJF is broadly applied in an array of afflictions, such as fever, sore throat, flu infection, cough, and arthritis, with the action mechanism to be elucidated. Here, we strove to summarize the main phytochemical components of LJF and review its updated pharmacological effects, including inhibition of inflammation, pyrexia, viruses, and bacteria, immunoregulation, and protection of the liver, nervous system, and heart, with a focus on the potential efficacy of LJF on coronavirus disease-2019 based on network pharmacology so as to fully underpin the utilization of LJF as a medicinal herb and a favorable nutraceutical in daily life.
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http://dx.doi.org/10.1016/j.coph.2021.07.019DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402937PMC
October 2021

Artificial intelligence-based approaches for COVID-19 patient management.

Intell Med 2021 May 10;1(1):10-15. Epub 2021 Jun 10.

Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.

During the highly infectious pandemic of coronavirus disease 2019 (COVID-19), artificial intelligence (AI) has provided support in addressing challenges and accelerating achievements in controlling this public health crisis. It has been applied in fields varying from outbreak forecasting to patient management and drug/vaccine development. In this paper, we specifically review the current status of AI-based approaches for patient management. Limitations and challenges still exist, and further needs are highlighted.
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http://dx.doi.org/10.1016/j.imed.2021.05.005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189732PMC
May 2021

Accurate and efficient pulmonary CT imaging workflow for COVID-19 patients by the combination of intelligent guided robot and automatic positioning technology.

Intell Med 2021 May 27;1(1):3-9. Epub 2021 May 27.

Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has put radiologists at a higher risk of infection during the computer tomography (CT) examination for the patients. To help settling these problems, we adopted a remote-enabled and automated contactless imaging workflow for CT examination by the combination of intelligent guided robot and automatic positioning technology to reduce the potential exposure of radiologists to 2019 novel coronavirus (2019-nCoV) infection and to increase the examination efficiency, patient scanning accuracy and better image quality in chest CT imaging .

Methods: From February 10 to April 12, 2020, adult COVID-19 patients underwent chest CT examinations on a CT scanner using the same scan protocol except with the conventional imaging workflow (CW group) or an automatic contactless imaging workflow (AW group) in Wuhan Leishenshan Hospital (China) were retrospectively and prospectively enrolled in this study. The total examination time in two groups was recorded and compared. The patient compliance of breath holding, positioning accuracy, image noise and signal-to-noise ratio (SNR) were assessed by three experienced radiologists and compared between the two groups.

Results: Compared with the CW group, the total positioning time of the AW group was reduced ((118.0 ± 20.0) s . (129.0 ± 29.0) s,  = 0.001), the proportion of scanning accuracy was higher (98% . 93%), and the lung length had a significant difference ((0.90±1.24) cm . (1.16±1.49) cm,  = 0.009). For the lesions located in the pulmonary centrilobular and subpleural regions, the image noise in the AW group was significantly lower than that in the CW group (centrilobular region: (140.4 ± 78.6) HU . (153.8 ± 72.7) HU,  = 0.028; subpleural region: (140.6 ± 80.8) HU . (159.4 ± 82.7) HU,  = 0.010). For the lesions located in the peripheral, centrilobular and subpleural regions, SNR was significantly higher in the AW group than in the CW group (centrilobular region: 6.6 ± 4.3 . 4.9 ± 3.7,  = 0.006; subpleural region: 6.4 ± 4.4 . 4.8 ± 4.0,  0.001).

Conclusions: The automatic contactless imaging workflow using intelligent guided robot and automatic positioning technology allows for reducing the examination time and improving the patient's compliance of breath holding, positioning accuracy and image quality in chest CT imaging.
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http://dx.doi.org/10.1016/j.imed.2021.04.005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156837PMC
May 2021

Development of functional connectivity within and among the resting-state networks in anesthetized rhesus monkeys.

Neuroimage 2021 11 12;242:118473. Epub 2021 Aug 12.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuchang District, Wuhan, Hubei 430071, China. Electronic address:

Objective: The age-related changes in the resting-state networks (RSNs) exhibited temporally specific patterns in humans, and humans and rhesus monkeys have similar RSNs. We hypothesized that the RSNs in rhesus monkeys experienced similar developmental patterns as humans.

Methods: We acquired resting-state fMRI data from 62 rhesus monkeys, which were divided into childhood, adolescence, and early adulthood groups. Group independent component analysis (ICA) was used to identify monkey RSNs. We detected the between-group differences in the RSNs and static, dynamic, and effective functional network connections (FNCs) using one-way variance analysis (ANOVA) and post-hoc analysis.

Results: Eight rhesus RSNs were identified, including cerebellum (CN), left and right lateral visual (LVN and RVN), posterior default mode (pDMN), visuospatial (VSN), frontal (FN), salience (SN), and sensorimotor networks (SMN). In internal connections, the CN, SN, FN, and SMN mainly matured in early adulthood. The static FNCs associated with FN, SN, pDMN primarily experienced fast descending slow ascending type (U-shaped) developmental patterns for maturation, and the dynamic FNCs related to pDMN (RVN, CN, and SMN) and SMN (CN) were mature in early adulthood. The effective FNC results showed that the pDMN and VSN (stimulated), SN (inhibited), and FN (first inhibited then stimulated) chiefly matured in early adulthood.

Conclusion: We identified eight monkey RSNs, which exhibited similar development patterns as humans. All the RSNs and FNCs in monkeys were not widely changed but fine-tuned. Our study clarified that the progressive synchronization, exploration, and regulation of cognitive RSNs within the pDMN, FN, SN, and VSN denoted potential maturation of the RSNs throughout development. We confirmed the development patterns of RSNs and FNCs would support the use of monkeys as a best animal model for human brain function.
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http://dx.doi.org/10.1016/j.neuroimage.2021.118473DOI Listing
November 2021
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