Publications by authors named "Bin Song"

598 Publications

Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer.

Front Oncol 2021 27;11:710248. Epub 2021 Sep 27.

Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

Objective: To develop and validate a computed tomography (CT)-based radiomics model for predicting tumor deposits (TDs) preoperatively in patients with rectal cancer (RC).

Methods: This retrospective study enrolled 254 patients with pathologically confirmed RC between December 2017 and December 2019. Patients were divided into a training set (n = 203) and a validation set (n = 51). A large number of radiomics features were extracted from the portal venous phase images of CT. After selecting features with L1-based method, we established Rad-score by using the logistic regression analysis. Furthermore, a combined model incorporating Rad-score and clinical factors was developed and visualized as the nomogram. The models were evaluated by the receiver operating characteristic curve (ROC) analysis and area under the ROC curve (AUC).

Results: One hundred and seventeen of 254 patients were eventually found to be TDs. Rad-score and clinical factors including carbohydrate antigen (CA) 19-9, CT-reported T stage (cT), and CT-reported peritumoral nodules (+/-) were significantly different between the TDs and TDs groups (all < 0.001). These factors were all included in the combined model by the logistic regression analysis (odds ratio = 2.378 for Rad-score, 2.253 for CA19-9, 2.281 for cT, and 4.485 for peritumoral nodules). This model showed good performance to predict TDs in the training and validation cohorts (AUC = 0.830 and 0.832, respectively). Furthermore, the combined model outperformed the clinical model incorporating CA19-9, cT, and peritumoral nodules (+/-) in both training and validation cohorts for predicting TDs preoperatively (AUC = 0.773 and 0.718, 0.008 and 0.039).

Conclusions: The combined model incorporating Rad-score and clinical factors could provide a preoperative prediction of TDs and help clinicians guide individualized treatment for RC patients.
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http://dx.doi.org/10.3389/fonc.2021.710248DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502898PMC
September 2021

Ordered assembly of the cytosolic RNA-sensing MDA5-MAVS signaling complex via binding to unanchored K63-linked poly-ubiquitin chains.

Immunity 2021 Oct;54(10):2218-2230.e5

Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China. Electronic address:

The RNA sensor MDA5 recruits the signaling adaptor MAVS to initiate type I interferon signaling and downstream antiviral responses, a process that requires K63-linked polyubiquitin chains. Here, we examined the mechanisms whereby K63-polyUb chain regulate MDA5 activation. Only long unanchored K63-polyUb (n ≥ 8) could mediate tetramerization of the caspase activation and recruitment domains of MDA5 (CARDs). Cryoelectron microscopy structures of a polyUb-bound CARDs tetramer and a polyUb-bound CARDs-CARD assembly revealed a tower-like formation, wherein eight Ubs tethered along the outer rim of the helical shell, bridging CARDs and CARD tetramers into proximity. ATP binding and hydrolysis promoted the stabilization of RNA-bound MDA5 prior to MAVS activation via allosteric effects on CARDs-polyUb complex. Abundant ATP prevented basal activation of apo MDA5. Our findings reveal the ordered assembly of a MDA5 signaling complex competent to recruit and activate MAVS and highlight differences with RIG-I in terms of CARD orientation and Ub sensing that suggest different abilities to induce antiviral responses.
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http://dx.doi.org/10.1016/j.immuni.2021.09.008DOI Listing
October 2021

CT-derived quantitative liver volumetric parameters for prediction of severe esophageal varices and the risk of first variceal hemorrhage.

Eur J Radiol 2021 Sep 30;144:109984. Epub 2021 Sep 30.

Department of Radiology, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu 610041, PR China. Electronic address:

Purpose: To assess whether CT (computed tomography)-derived quantitative parameters of liver lobe volume can predict severe esophageal varices (EV) and the risk of first varicealhemorrhage (FVH) in patients with liver cirrhosis.

Methods: A total of 217 endoscopically confirmed EV patients were included in this retrospective study and were divided into a low-risk EV group (mild-to-moderate EV, n = 83) and a high-risk EV group (severe EV, n = 134), a FVH group (n = 17) and a non-FVH group (n = 27), patients' clinical findings were recorded. The left, right, caudate lobe, total liver volume and the corresponding functional volume were measured respectively, and the ratio of caudate volume/total volume (CV/TV), caudate functional volume/total functional volume (CFV/TFV) were calculated. Univariate and multivariate logistic analysis were used to determine the independent factors and the receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic performance.

Results: CV, CFV, CV/TV, CFV/TFV were significantly different in the EV severity study and FVH study (p < 0.05). Multivariate analysis indicated that CV/TV and ascites were independent predictive factors for severe EV, a predictive model combing those two factors revealed a satisfactory diagnostic performance (area under the curve (AUC), 0.853, 95 %CI 0.797-0.905). Furthermore, CV/TV and the presence of red color sign under endoscopy were found to be independent predictive factors for FVH, and the former showed a better discriminative performance than the latter (AUC, 0.851 vs 0.779).

Conclusions: CT-derived quantitative parameters of CV, CFV, CV/TV, CFV/TFV may be used as an alternative to endoscopy in predicting severe varices and the risk of bleeding.
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http://dx.doi.org/10.1016/j.ejrad.2021.109984DOI Listing
September 2021

Versatile acoustic manipulation of micro-objects using mode-switchable oscillating bubbles: transportation, trapping, rotation, and revolution.

Lab Chip 2021 Oct 11. Epub 2021 Oct 11.

School of Mechanical Engineering & Automation, Beihang University, Beijing 100191, China.

Controllable on-chip multimodal manipulation of micro-objects in microfluidic devices is urgently required for enhancing the efficiency of potential biomedical applications. However, fixed design and driving models make it difficult to achieve switchable multifunction efficiently in a single device. In this study, a versatile bubble-based acoustofluidic device is proposed for multimodal manipulation of micro-objects in a biocompatible manner. Identical bubbles trapped over the bottom microcavities are made to flexibly switch between four different oscillatory motions by varying the applied frequency to generate corresponding modes of streaming patterns in the microchannel. Such regular modes enable stable transportation, trapping, 3D rotation, and circular revolution of the micro-objects, which were experimentally and numerically verified. The mode-switchable manipulations can be noninvasively applied to particles, cells, and organisms with different sizes, shapes, and quantities and can be controlled by key driving parameters. Moreover, 3D cell reconstruction is developed by applying the out-of-plane rotational mode and analyzed for illustration of cell surface morphology while quantifying reliably basic cell properties. Finally, a simple platform is established to integrate user-friendly function control and reconstruction analysis. The mode-switchable acoustofluidic device features a versatile, controllable, and contactless micro-object manipulation method, which provides an efficient solution for biomedical applications.
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http://dx.doi.org/10.1039/d1lc00628bDOI Listing
October 2021

Radiomics for predicting perineural invasion status in rectal cancer.

World J Gastroenterol 2021 Sep;27(33):5610-5621

Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.

Background: Perineural invasion (PNI), as a key pathological feature of tumor spread, has emerged as an independent prognostic factor in patients with rectal cancer (RC). The preoperative stratification of RC patients according to PNI status is beneficial for individualized treatment and improved prognosis. However, the preoperative evaluation of PNI status is still challenging.

Aim: To establish a radiomics model for evaluating PNI status preoperatively in RC patients.

Methods: This retrospective study enrolled 303 RC patients in a single institution from March 2018 to October 2019. These patients were classified as the training cohort ( = 242) and validation cohort ( = 61) at a ratio of 8:2. A large number of intra- and peritumoral radiomics features were extracted from portal venous phase images of computed tomography (CT). After deleting redundant features, we tested different feature selection ( = 6) and machine-learning ( = 14) methods to form 84 classifiers. The best performing classifier was then selected to establish Rad-score. Finally, the clinicoradiological model (combined model) was developed by combining Rad-score with clinical factors. These models for predicting PNI were compared using receiver operating characteristic curve (ROC) analysis and area under the ROC curve (AUC).

Results: One hundred and forty-four of the 303 patients were eventually found to be PNI-positive. Clinical factors including CT-reported T stage (cT), N stage (cN), and carcinoembryonic antigen (CEA) level were independent risk factors for predicting PNI preoperatively. We established Rad-score by logistic regression analysis after selecting features with the L1-based method. The combined model was developed by combining Rad-score with cT, cN, and CEA. The combined model showed good performance to predict PNI status, with an AUC of 0.828 [95% confidence interval (CI): 0.774-0.873] in the training cohort and 0.801 (95%CI: 0.679-0.892) in the validation cohort. For comparison of the models, the combined model achieved a higher AUC than the clinical model (cT + cN + CEA) achieved ( < 0.001 in the training cohort, and = 0.045 in the validation cohort).

Conclusion: The combined model incorporating Rad-score and clinical factors can provide an individualized evaluation of PNI status and help clinicians guide individualized treatment of RC patients.
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http://dx.doi.org/10.3748/wjg.v27.i33.5610DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433618PMC
September 2021

Blood small extracellular vesicles derived miRNAs to differentiate pancreatic ductal adenocarcinoma from chronic pancreatitis.

Clin Transl Med 2021 Sep;11(9):e520

Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.

Background: The differential diagnosis of pancreatic ductal adenocarcinoma (PDAC) from chronic pancreatitis (CP) is clinically challenging due to a lack of minimally invasive diagnosis methods. MicroRNAs (miRNAs) derived from small extracellular vesicles (EVs) in the blood have been reported as a promising diagnosis biomarker for various types of cancer. However, blood small EV miRNA signatures and their diagnostic value to differentiate between PDAC and CP remain to be determined.

Methods: In this study, 107 patients with PDAC or CP were recruited, and 90 patients were finally enrolled for a training cohort (n = 48) and test cohort (n = 42). Small RNA sequencing was used to assess the expression of blood small EV miRNAs in these patients.

Results: The linear model from the differentially expressed blood small EV miR-95-3p divided by miR-26b-5p showed an average sensitivity of 84.1% and an average specificity of 96.6% to identify PDAC from CP in the training cohort and the test cohort, respectively. When the model was combined with serum carbohydrate antigen 19-9 (CA19-9), the average sensitivity increased to 96.5%, and the average specificity remained at 96.4% of both cohorts, which demonstrated the best performance of all the published biomarkers for distinguishing between PDAC and CP. The causal analysis performed using the Bayesian network demonstrated that miR-95-3p was associated with a "consequence" of "cancer" and miR-26b-5p as a "cause" of "pancreatitis." A subgroup analysis revealed that blood small EV miR-335-5p/miR-340-5p could predict metastases in both cohorts and was associated with an overall survival (p = 0.020).

Conclusions: This study indicated that blood small EV miR-95-3p/miR-26b-5p and its combination with serum levels of CA19-9 could separate PDAC from CP, and miR-335-5p/miR-340-5p was identified to associate with PDAC metastasis and poor prognosis. These results suggested the potentiality of blood small EV miRNAs as differential diagnosis and metastases biomarkers of PDAC.
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http://dx.doi.org/10.1002/ctm2.520DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431442PMC
September 2021

A natural anthocyanin-based multifunctional theranostic agent for dual-modal imaging and photothermal anti-tumor therapy.

J Mater Chem B 2021 Sep 22;9(36):7447-7460. Epub 2021 Sep 22.

Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Tongji Medical College, Huazhong University of Science and Technology, Taiyuan, 030032, China.

Nowadays, cancer is one of the most serious diseases threatening the health of human beings, and imaging-guided photothermal therapy (PTT) is rapidly emerging as a potent oncotherapy strategy due to its unique advantages of high efficiency, noninvasiveness, visualization, and accuracy. In this study, a multifunctional nanoplatform based on gadolinium ion chelated natural anthocyanins (ACNs) is reported, which can be used not only as an excellent photoacoustic/magnetic resonance (PA/MR) dual-modal contrast agent but also for imaging-guided tumor PTT. The nanoparticles obtained have a suitable size, good dispersity, and physiological stability. The excellent biocompatibility and remarkable photothermal effect of the nanoparticles were demonstrated by CCK-8 assays and co-staining experiments. Moreover, the magnetic resonance imaging (MRI) and photoacoustic imaging (PAI) results obtained showed that the nanoparticles were ideal dual-modal contrast agents whether given by intravenous or intratumoral injection. After intratumoral injection, the dual-modal PAI/MRI was used for determining the maximum diffusion time of the probe in the tumor site to guide laser treatment, achieving complete tumor elimination without normal tissue injury. Importantly, ACN is a natural compound extracted from black carrots, possessing native biocompatibility and biodegradability, which was further proved by the results of the detailed safety evaluation. Overall, the as-prepared nanoparticles displayed significant tumor diagnosis and treatment effects while mitigating biosafety concerns, and thus this was found to be a promising nanotherapeutic method for cancer treatment.
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http://dx.doi.org/10.1039/d1tb00988eDOI Listing
September 2021

Effect of personality traits on rehabilitation effect after anterior cruciate ligament reconstruction: an observational study.

Ann Phys Rehabil Med 2021 Sep 15:101570. Epub 2021 Sep 15.

Department of Sports Medicine, Sun Yat-sen Memorial Hospital, No.107 on Yanjiang Road West, 510120 Guangzhou, Guangdong, China.

Background: Anterior cruciate ligament (ACL) reconstruction requires an extended period of postoperative rehabilitation. Psychological factors can affect recovery after surgery. Study of psychological factors is still limited to self-motivation, fear and pain. Study of personality traits associated with early rehabilitation outcome after ACL reconstruction is scarce.

Objective: We aimed to explore the effect of personality traits on early rehabilitation after ACL reconstruction and provide a reference for clinicians in designing a personalized rehabilitation plan.

Methods: This prospective analysis investigated 155 patients at 3 and 6 months after ACL reconstruction. Follow-up involved administration of a general data questionnaire, the Chinese Big Five Personality Inventory Brief Version, the Tegner activity score, the International Knee Documentation Committee Subjective Knee Score, the Knee injury and Osteoarthritis Outcome Score, the Lysholm Score and a balance test.

Results: Among the 155 patients included (124 males), Neuroticism was negatively correlated with subjective knee scores at 3 and 6 months after surgery (p<0.001). The odds of a poor balance test result was increased for each 1-point increase in Neuroticism score (odds ratio [OR] 1.74, 95% confidence interval [CI] 1.28-2.36, p<0.001). We found a positive correlation between Conscientiousness score and subjective knee scores at 3 and 6 months after surgery (p<0.001). For every 1-point increase in Conscientiousness score, the odds of a poor balance test result were decreased (OR 0.29, 95% CI 0.16-0.54, p<0.001). Agreeableness and Openness to experience scores were positively correlated with subjective knee scores at 3 and 6 months after surgery (p<0.001). We found no correlation between Extraversion and subjective knee scores at 3 and 6 months after surgery (p>0.05) but a positive correlation with the Tegner activity score at 3 and 6 months after surgery (p<0.05).

Conclusion: We found a significant correlation between the Big Five personality dimensions and the early rehabilitation effect after ACL reconstruction, which can provide a reference for clinicians in designing a personalized rehabilitation plan.
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http://dx.doi.org/10.1016/j.rehab.2021.101570DOI Listing
September 2021

The Prognostic Value of Biomarkers on Detecting Non-Small Cell Lung Cancer in a Chinese Elderly Population.

Int J Gen Med 2021 7;14:5279-5286. Epub 2021 Sep 7.

Department of Neurosurgery, Mindong Hospital of Fujian Medical University, Fuan City, 355000, People's Republic of China.

Background: Survival in non-small cell lung cancer (NSCLC) remains poor. Early detection of NSCLC is of great significance to provide a chance to improve survival.

Aim: We constructed predictive models to evaluate the predictive value of four tumor biomarkers by including serum human epididymis protein 4 (HE4), carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCA), and cytokeratin 19 fragment (CY21-1) on detecting NSCLC in a Chinese elderly population.

Methods: A total of 363 patients with NSCLC and 433 subjects without cancer (healthy control group) were admitted to the respiratory department in our hospital. We assessed serum levels of these four tumor biomarkers in the two groups and then the predictive value of predictive models was evaluated.

Results: Serum median values of HE4 (143.3 pmol/L), CEA (4.60 ng/mL), SCCA (1.52 ng/mL), and CY21-1 (5.36 ng/mL) in patients with NSCLC were significantly higher than the healthy control group, respectively (all <0.05). A multivariate logistic regression model showed that HE4 (OR=2.10, 95% CI=1.22-4.42, =0.013), CEA (OR=2.30, 95% CI=1.44-4.53, =0.004), SCCA (OR=2.20, 95% CI=1.29-4.55, =0.011), and CY21-1 (OR=2.60, 95% CI=1.56-6.25, <0.001) were significantly and independently associated with increased risk of NSCLC on admission after confounding factors were corrected. Importantly, the ROC curve suggested HE4 had a good value on predicting NSCLC in the Chinese elderly population. Additionally, the predictive model (CEA+SCCA+CY21-1+HE4) had better idea capability to detecting the existence of NSCLC (AUC=0.954, 95% CI=0.927-0.999, <0.001).

Conclusion: Our study showed that several lung cancer-related biomarkers were used to build prediction models, which has good value for early prediction of NSCLC.
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http://dx.doi.org/10.2147/IJGM.S331311DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434877PMC
September 2021

Predictive Value of Metabolic Parameters Derived From F-FDG PET/CT for Microsatellite Instability in Patients With Colorectal Carcinoma.

Front Immunol 2021 26;12:724464. Epub 2021 Aug 26.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Background: Microsatellite instability (MSI) is one of the important factors that determine the effectiveness of immunotherapy in colorectal cancer (CRC) and serves as a prognostic biomarker for its clinical outcomes.

Purpose: To investigate whether the metabolic parameters derived fromF-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) can predict MSI status in patients with CRC.

Materials And Methods: A retrospective analysis was performed on CRC patients who underwent F-FDG PET/CT examination before surgery between January 2015 and April 2021. The metabolic F-FDG PET/CT parameters of the primary CRC lesion were calculated and recorded with different thresholds, including the maximum, peak, and mean standardized uptake value (SUV, SUV, and SUV), as well as the metabolic tumor volume (MTV) and the total lesion glycolysis (TLG). The status of MSI was determined by immunohistochemical assessment. The difference of quantitative parameters between MSI and microsatellite stability (MSS) groups was assessed, and the receiver operating characteristic (ROC) analyses with area under ROC curves (AUC) was used to evaluate the predictive performance of metabolic parameters.

Results: A total of 44 patients (24 men and 20 women; mean ± standard deviation age: 71.1 ± 14.2 years) were included. There were 14 patients in the MSI group while there were 30 in the MSS group. MTV, MTV, MTV, and MTV, as well as TLG and TLG showed significant difference between two groups (all -values <0.05), among which MTV demonstrated the highest performance in the prediction of MSI, with an AUC of 0.805 [95% confidence interval (CI): 0.657-0.909], a sensitivity of 92.9% (95% CI: 0.661-0.998), and a specificity of 66.7% (95% CI: 0.472-0.827). Patients' age and MTV were significant predictive indicators of MSI in multivariate logistic regression.

Conclusion: The metabolic parameters derived fromF-FDG PET/CT were able to preoperatively predict the MSI status in CRC, with MTV demonstrating the highest predictive performance. PET/CT imaging could serve as a noninvasive tool in the guidance of immunotherapy and individualized treatment in CRC patients.
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http://dx.doi.org/10.3389/fimmu.2021.724464DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426433PMC
August 2021

Uric acid as a prognostic factor and critical marker of COVID-19.

Sci Rep 2021 09 7;11(1):17791. Epub 2021 Sep 7.

Department of Nephrology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.

The purpose of this study is to explore whether uric acid (UA) can independently act as a prognostic factor and critical marker of the 2019 novel corona virus disease (COVID-19). A multicenter, retrospective, and observational study including 540 patients with confirmed COVID-19 was carried out at four designated hospitals in Wuhan. Demographic, clinical, laboratory data were collected and analyzed. The primary end point was in-hospital death of patients with COVID-19. The concentration of admission UA (adUA) and the lowest concentration of uric acid during hospitalization (lowUA) in the dead patients were significantly lower than those in the survivors. Multivariate logistic regression analysis showed the concentration of lowUA (OR 0.986, 95% CI 0.980-0.992, p < 0.001) was able to independently predict the risk of in-hospital death. The mean survival time in the low-level group of lowUA was significantly lower than other groups. When lowUA was ≤ 166 µmol/L, the sensitivity and specificity in predicting hospital short-term mortality were 76.9%, (95% CI 68.5-85.1%) and 74.9% (95% CI 70.3-78.9%). This retrospective study determined that the lowest concentration of UA during hospitalization can be used as a prognostic indicator and a marker of disease severity in severe patients with COVID-19.
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http://dx.doi.org/10.1038/s41598-021-96983-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423827PMC
September 2021

Elevated Pancreatic Enzymes in ICU Patients With COVID-19 in Wuhan, China: A Retrospective Study.

Front Med (Lausanne) 2021 17;8:663646. Epub 2021 Aug 17.

Department of Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Pancreatic enzyme elevation has been reported in patients with COVID-19 during the pandemic. However, with the shortage of medical resources and information, several challenges are faced in the examination and treatment of this condition in COVID-19 patients. There is little information on whether such condition is caused by pancreatic injury, and if this is a warning sign of life threatening complications like multiple organ failure in patients. The objective of this study is to explore the relationship between elevated pancreatic enzymes and the underlying risk factors during the management of COVID-19 patients. A total of 55 COVID-19 patients admitted to the intensive care unit (ICU) of Wuhan Jinyintan hospital from January 1 to March 30, 2020 were enrolled in this study. All participants underwent transabdominal ultrasound imaging to assess their pancreas. Out of the 55 patients, three patients had pancreatitis, 29 (52.7%) with elevated pancreatic enzymes, and 23 (41.8%) without. The most common symptoms of patients with COVID-19 were fever and cough. There was no statistical difference in most baseline characteristics except myalgia on admission. Compared with those having normal enzyme levels, patients with elevated pancreatic enzymes had higher rates of mortality (79.3 vs. 52.2%; = 0.038), and lower rates of discharge (20.7 vs. 47.8%; = 0.038). Patients with elevated enzymes had higher incidence of mechanical ventilation ( = 0.004) and kidney injury ( = 0.042) than patients without elevated pancreatic enzymes. The results of multivariable logistic analysis showed that the odds ratio were 10.202 ( = 0.002) for mechanical ventilation and 7.673 ( = 0.014) for kidney injury with the elevated enzymes vs. the normal conditions. The findings show that the incidences of pancreatic enzymes elevation are not low in critical COVID-19 patients and only a few of them progressed to acute pancreatitis (AP). Increased pancreatic enzymes levels is associated with poor prognosis in COVID-19 patients. In addition, the kidney injury and oxygenation degradation are associated with the pancreatic enzymes elevation in COVID-19 patients.
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http://dx.doi.org/10.3389/fmed.2021.663646DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415839PMC
August 2021

Copper(II)-Catalyzed Tandem Reaction: Synthesis of Furo[3,2-]coumarin Derivatives and Evaluation for Photophysical Properties.

J Org Chem 2021 Sep 2;86(18):12537-12548. Epub 2021 Sep 2.

Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, P. R. China.

An efficient protocol for synthesizing furo[3,2-]coumarin derivatives is described. The novel reaction could afford the desired furocoumarins with good to excellent yields in a mild and rapid manner. Large substrate scope screening and scale-up preparation have also been accomplished, and selected compounds were evaluated for their photophysical properties.
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http://dx.doi.org/10.1021/acs.joc.1c00835DOI Listing
September 2021

In Situ Preservation of Parathyroid Gland With Vasculature for Papillary Thyroid Carcinoma Is Associated With Higher PTH Levels After Total Thyroidectomy.

Ear Nose Throat J 2021 Sep 2:1455613211039807. Epub 2021 Sep 2.

Department of Pathology, Jingzhou No 1 People's Hospital and First Affiliated Hospital of Yangtze University, Jingzhou, Hubei Province, China.

Purpose: To evaluate the impact of parathyroid gland vasculature preservation in-situ technique (PGVPIST) on postoperative parathyroid hormone (PTH) and calcium plasma levels in thyroid patients undergoing total thyroidectomy for papillary thyroid carcinoma (PTC).

Study Design: Retrospective cohort study.

Methods: Patients with PTC who underwent total thyroidectomy by either the conventional technique (group 1, January 2019 to January 2020) or PGVPIST (group 2, January 2020 to January 2021) were compared. Postoperative blood calcium levels and PTH levels were assessed in these groups.

Results: Totally 149 patients with consecutive PTC underwent total thyroidectomy, including 60 patients in group 1 and 89 patients in group 2. Postoperative serum calcium levels in group 1 were insignificantly lower than in group 2 at day 1 (2.18 ± 0.02 vs 2.15 ± 0.01 mmol/L) and day 30 (2.27 ± 0.02 vs 2.38 ± 0.11) after surgery. But postoperative serum PTH levels in group 1 were significantly lower than that in group 2 at day 1 (23.68 ± 2.54 vs 31.46 ± 2.11 pg/mL) and day 30 (45.63 ± 3.21 vs 55.65 ± 2.89 pg/mL) after surgery.

Conclusion: Parathyroid gland vasculature preservation in-situ technique for PTC is associated with higher PTH level after total thyroidectomy. The parathyroid gland vasculature mostly strongly adheres with adjacent thyroid parenchyma. Therefore, deferred processing of tiny thyroid parenchyma of parathyroid gland vessels is essential to prevent devascularization.
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http://dx.doi.org/10.1177/01455613211039807DOI Listing
September 2021

Role of noninvasive imaging in the evaluation of intrahepatic cholangiocarcinoma: from diagnosis and prognosis to treatment response.

Expert Rev Gastroenterol Hepatol 2021 Sep 1:1-13. Epub 2021 Sep 1.

Department of Radiology, Sichuan University West China Hospital, Chengdu, China.

Introduction: Intrahepatic cholangiocarcinoma is the second most common liver cancer. Desmoplastic stroma may be revealed as distinctive histopathologic findings favoring intrahepatic cholangiocarcinoma. Meanwhile, a range of imaging manifestations is often accompanied with rich desmoplastic stroma in intrahepatic cholangiocarcinoma, which can indicate large bile duct ICC, and a higher level of cancer-associated fibroblasts with poor prognosis and weak treatment response.

Areas Covered: We provide a comprehensive review of current state-of-the-art and recent advances in the imaging evaluation for diagnosis, staging, prognosis and treatment response of intrahepatic cholangiocarcinoma. In addition, we discuss precursor lesions, cells of origin, molecular mutation, which would cause the different histological classification. Moreover, histological classification and tumor microenvironment, which are related to the proportion of desmoplastic stroma with many imaging manifestations, would be also discussed.

Expert Opinion: The diagnosis, prognosis, treatment response of intrahepatic cholangiocarcinoma may be revealed as the presence and the proportion of desmoplastic stroma with a range of imaging manifestations. With the utility of radiomics and artificial intelligence, imaging is helpful for ICC evaluation. Multicentre, large-scale, prospective studies with external validation are in need to develop comprehensive prediction models based on clinical data, imaging findings, genetic parameters, molecular, metabolic, and immune biomarkers.
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http://dx.doi.org/10.1080/17474124.2021.1974294DOI Listing
September 2021

Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis.

Eur Radiol 2021 Aug 25. Epub 2021 Aug 25.

Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.

Objectives: To evaluate the relationship between biopsy-assessed hepatic steatosis, magnetic resonance imaging (MRI)-assessed proton density fat fraction (PDFF), and magnetic resonance elastography (MRE)-assessed liver stiffness measurement (LSM), in patients with or at risk for nonalcoholic fatty liver disease (NAFLD).

Methods: A retrospective study was performed, encompassing 256 patients who had a liver biopsy and MRI/MRE examination performed within 1 year. Clinical and laboratory data were retrieved from the electronic medical record. Hepatic steatosis and fibrosis were assessed by histopathological grading/staging. First, we analyzed the diagnostic performance of PDFF for distinguishing hepatic steatosis with the receiver operating characteristic analyses. Second, variables influencing LSM were screened with univariant analyses, then identified with multivariable linear regression. Finally, the potential relationship between PDFF and LSM was assessed with linear regression after adjustment for other influencing factors, in patients with diagnosed steatosis (PDFF ≥ 5%).

Results: The diagnostic accuracy of PDFF in distinguishing steatosis grades (S0-3) was above 0.82. No significant difference in LSM was found between patients with S1, S2, and S3 steatosis and between all steatosis grades after patients were grouped according to fibrosis stage. No statistically significant relationship was found between the LSM and PDFF (estimate =  - 0.02, p = 0.065) after adjustment for fibrosis stage and age in patients with diagnosed steatosis (PDFF ≥ 5%).

Conclusions: In patients with NAFLD, the severity of hepatic steatosis has no significant influence on the liver stiffness measurement with magnetic resonance elastography.

Key Points: • The MRI-based proton density fat fraction provides a quantitative assessment of hepatic steatosis with high accuracy. • No significant effect of hepatic steatosis on MRE-based liver stiffness measurement was found in patients with S1, S2, and S3 steatosis and between all steatosis grades after patients were grouped according to fibrosis stage. • After adjusting for fibrosis stage and age, there was no statistically significant relationship between liver stiffness and proton density fat fraction in patients with hepatic steatosis (p = 0.065).
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http://dx.doi.org/10.1007/s00330-021-08225-wDOI Listing
August 2021

Application of artificial intelligence in gastrointestinal disease: a narrative review.

Ann Transl Med 2021 Jul;9(14):1188

Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

Objective: We collected evidence on the application of artificial intelligence (AI) in gastroenterology field. The review was carried out from two aspects of endoscopic types and gastrointestinal diseases, and briefly summarized the challenges and future directions in this field.

Background: Due to the advancement of computational power and a surge of available data, a solid foundation has been laid for the growth of AI. Specifically, varied machine learning (ML) techniques have been emerging in endoscopic image analysis. To improve the accuracy and efficiency of clinicians, AI has been widely applied to gastrointestinal endoscopy.

Methods: PubMed electronic database was searched using the keywords containing "AI", "ML", "deep learning (DL)", "convolution neural network", "endoscopy (such as white light endoscopy (WLE), narrow band imaging (NBI) endoscopy, magnifying endoscopy with narrow band imaging (ME-NBI), chromoendoscopy, endocytoscopy (EC), and capsule endoscopy (CE))". Search results were assessed for relevance and then used for detailed discussion.

Conclusions: This review described the basic knowledge of AI, ML, and DL, and summarizes the application of AI in various endoscopes and gastrointestinal diseases. Finally, the challenges and directions of AI in clinical application were discussed. At present, the application of AI has solved some clinical problems, but more still needs to be done.
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http://dx.doi.org/10.21037/atm-21-3001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350704PMC
July 2021

Value of artificial intelligence model based on unenhanced computed tomography of urinary tract for preoperative prediction of calcium oxalate monohydrate stones .

Ann Transl Med 2021 Jul;9(14):1129

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Background: Urolithiasis is a global disease with a high incidence and recurrence rate, and stone composition is closely related to the choice of treatment and preventive measures. Calcium oxalate monohydrate (COM) is the most common in clinical practice, which is hard and difficult to fragment. Preoperative identification of its components and selection of effective surgical methods can reduce the risk of patients having a second operation. Methods that can be used for stone composition analysis include infrared spectroscopy, X-ray diffraction, and polarized light microscopy, but they are all performed on stone specimens after surgery. This study aimed to design and develop an artificial intelligence (AI) model based on unenhanced computed tomography (CT) images of the urinary tract, and to investigate the predictive ability of the model for COM stones preoperatively, so as to provide surgeons with more accurate diagnostic information.

Methods: Preoperative unenhanced CT images of patients with urinary calculi whose components were determined by infrared spectroscopy in a single center were retrospectively analyzed, including 337 cases of COM stones and 170 of non-COM stones. All images were manually segmented and the image features were extracted, and randomly divided into the training and testing sets in a ratio of 7:3. The least absolute shrinkage and selection operation algorithm (LASSO) was used to construct the AI model, and classification of the training and testing sets was carried out.

Results: A total of 1,218 radiomics imaging features were extracted, and 8 features with non-zero coefficients were finally obtained. The sensitivity, specificity and accuracy of the AI model were 90.5%, 84.3% and 88.5% for the training set, and 90.1%, 84.3% and 88.3% for the testing set. The area under the curve was 0.935 for the training set and 0.933 for the testing set.

Conclusions: The AI model based on unenhanced CT images of the urinary tract can predict COM and non-COM stones preoperatively, and the model has high sensitivity, specificity and accuracy.
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http://dx.doi.org/10.21037/atm-21-965DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350703PMC
July 2021

Retro-enantio isomer of angiopep-2 assists nanoprobes across the blood-brain barrier for targeted magnetic resonance/fluorescence imaging of glioblastoma.

Signal Transduct Target Ther 2021 Aug 19;6(1):309. Epub 2021 Aug 19.

Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.

Glioblastoma (GBM), one of the most common primary intracranial malignant tumours, is very difficult to be completely excised by surgery due to its irregular shape. Here, we use an MRI/NIR fluorescence dual-modal imaging nanoprobe that includes superparamagnetic iron oxide nanoparticles (SPIONs) modified with indocyanine (Cy7) molecules and peptides (ANG or ANG) to locate malignant gliomas and guide accurate excision. Both peptides/Cy7-SPIONs probes displayed excellent tumour-homing properties and barrier penetrating abilities in vitro, and both could mediate precise aggregation of the nanoprobes at gliomas sites in in vivo magnetic resonance imaging (MRI) and ex vivo near-infrared (NIR) fluorescence imaging. However, compared with ANG/Cy7-SPIONs probes, ANG/Cy7-SPIONs probes exhibited better enhanced MR imaging effects. Combining all these features together, this MRI/NIR fluorescence imaging dual-modal nanoprobes modified with retro-enantio isomers of the peptide have the potential to accurately display GBMs preoperatively for precise imaging and intraoperatively for real-time imaging.
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http://dx.doi.org/10.1038/s41392-021-00724-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377144PMC
August 2021

Bone formation recovery with gold nanoparticle-induced M2 macrophage polarization in mice.

Nanomedicine 2021 Aug 13;38:102457. Epub 2021 Aug 13.

School of Mechanical Engineering & Automation, Beihang University, Beijing, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China. Electronic address:

The prevention of fractures induced by inflammatory bone disease remains a clinical challenge. This is because of a lack of bone formation to fill in the bone defects, which are believed to be due in part to persistent inflammation caused by the imbalance of M1 over M2 macrophages. In this study, gold nanoparticles (AuNPs) were synthesized to shift the balance of macrophages at the site of bone damage to improve osteanagenesis in a mouse model of LPS-induced inflammatory bone erosion. Specifically, the AuNPs treatment improved bone structure and increased bone mineral density (BMD) by ~14% compared with model group. Macrophages recruited by LPS treatment were reduced by ~11% after AuNPs injection. Compared to LPS treatment only, the percentage of M2 macrophages increased threefold by AuNPs, while the proportion of M1 macrophages decreased by 59%. This promoted the regeneration of bone matrix proteins in the bone defect site, which finally leads to increased bone mass and improved bone structure in model mice. These data suggest that AuNPs could be a novel candidate therapeutic for inflammatory bone disease rather than a drug carrier.
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http://dx.doi.org/10.1016/j.nano.2021.102457DOI Listing
August 2021

Secondary infection in severe and critical COVID-19 patients in China: a multicenter retrospective study.

Ann Palliat Med 2021 Aug 3;10(8):8557-8570. Epub 2021 Aug 3.

State Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Department of Pulmonary and Critical Care Medicine, Guangzhou, China.

Background: Since 2020 COVID-19 pandemic became an emergent public sanitary incident. The epidemiology data and the impact on prognosis of secondary infection in severe and critical COVID-19 patients in China remained largely unclear.

Methods: We retrospectively reviewed medical records of all adult patients with laboratory-confirmed COVID-19 who were admitted to ICUs from January 18th 2020 to April 26th 2020 at two hospitals in Wuhan, China and one hospital in Guangzhou, China. We measured the frequency of bacteria and fungi cultured from respiratory tract, blood and other body fluid specimens. The risk factors for and impact of secondary infection on clinical outcomes were also assessed.

Results: Secondary infections were very common (86.6%) when patients were admitted to ICU for >72 hours. The majority of infections were respiratory, with the most common organisms being Klebsiella pneumoniae (24.5%), Acinetobacter baumannii (21.8%), Stenotrophomonas maltophilia (9.9%), Candida albicans (6.8%), and Pseudomonas spp. (4.8%). Furthermore, the proportions of multidrug resistant (MDR) bacteria and carbapenem resistant Enterobacteriaceae (CRE) were high. We also found that age ≥60 years and mechanical ventilation ≥13 days independently increased the likelihood of secondary infection. Finally, patients with positive cultures had reduced ventilator free days in 28 days and patients with CRE and/or MDR bacteria positivity showed lower 28-day survival rate.

Conclusions: In a retrospective cohort of severe and critical COVID-19 patients admitted to ICUs in China, the prevalence of secondary infection was high, especially with CRE and MDR bacteria, resulting in poor clinical outcomes.
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http://dx.doi.org/10.21037/apm-21-833DOI Listing
August 2021

Comparison of Function- and Activity-Related Outcomes After Anterior Talofibular Ligament Repair With 1 Versus 2 Suture Anchors.

Orthop J Sports Med 2021 Jul 21;9(7):2325967121991930. Epub 2021 Jul 21.

Department of Orthopedics, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.

Background: Few studies have compared the clinical outcomes of using 1 versus 2 suture anchors for anterior talofibular ligament (ATFL) repair.

Purpose: To compare the function and activity-related outcomes of arthroscopic ATFL repair using 1 versus 2 suture anchors.

Study Design: Cohort study; Level of evidence, 3.

Methods: This retrospective study involved 46 patients (22 patients in the 1-anchor group, 24 patients in the 2-anchor group) who underwent ATFL repair between January 2015 and December 2017. American Orthopaedic Foot & Ankle Society score, Karlsson and Peterson score, and Tegner activity level were evaluated preoperatively and ≥2.5 years postoperatively. At follow-up, patients were also asked about time to return to sport as well as level and intensity of physical fitness. Satisfaction was evaluated with the Sefton grading system.

Results: After ≥2.5 years of follow-up (30 months in the 1-anchor group, 33 months in the 2-anchor group), patients in the 2-anchor group had a higher Tegner activity level than those in the 1-anchor group (mean ± SD, 4.75 ± 1.07 vs 4.05 ± 1.17; = .039). As compared with patients in the 2-anchor group, fewer patients in the 1-anchor group returned to their preoperative activity level (54.2% vs 22.9%; = .029); the rate of activity at the same or higher intensity as preinjury was also lower in the 1-anchor group (50% vs 79.2%; = .038). However, there were no differences between the groups in terms of American Orthopaedic Foot & Ankle Society and Karlsson and Peterson scores, time to return to work/sport, duration of activity participation, level of physical fitness, or satisfaction according to Sefton grading.

Conclusion: Arthroscopic ATFL repair appears to be an effective treatment regardless of whether 1 or 2 suture anchors are used. The techniques had similar functional outcome scores, but 1-anchor repair produced inferior activity-related outcomes.
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http://dx.doi.org/10.1177/2325967121991930DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299893PMC
July 2021

Artificial Intelligence in the Imaging of Gastric Cancer: Current Applications and Future Direction.

Front Oncol 2021 21;11:631686. Epub 2021 Jul 21.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Gastric cancer (GC) is one of the most common cancers and one of the leading causes of cancer-related death worldwide. Precise diagnosis and evaluation of GC, especially using noninvasive methods, are fundamental to optimal therapeutic decision-making. Despite the recent rapid advancements in technology, pretreatment diagnostic accuracy varies between modalities, and correlations between imaging and histological features are far from perfect. Artificial intelligence (AI) techniques, particularly hand-crafted radiomics and deep learning, have offered hope in addressing these issues. AI has been used widely in GC research, because of its ability to convert medical images into minable data and to detect invisible textures. In this article, we systematically reviewed the methodological processes (data acquisition, lesion segmentation, feature extraction, feature selection, and model construction) involved in AI. We also summarized the current clinical applications of AI in GC research, which include characterization, differential diagnosis, treatment response monitoring, and prognosis prediction. Challenges and opportunities in AI-based GC research are highlighted for consideration in future studies.
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http://dx.doi.org/10.3389/fonc.2021.631686DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335156PMC
July 2021

Nanoprobe-Based Magnetic Resonance Imaging of Hypoxia Predicts Responses to Radiotherapy, Immunotherapy, and Sensitizing Treatments in Pancreatic Tumors.

ACS Nano 2021 Aug 6. Epub 2021 Aug 6.

Department of Radiology, Center for Medical Imaging, and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, No. 17, South Renmin Road, Chengdu 610041, China.

Accurate diagnosis of tumors and predicting the therapeutic responses are highly demanded in the clinic to improve the treatment efficacy and survival rates. Since hypoxia develops in the progression of tumors and inversely correlates with prognosis and promotes resistance to radiotherapies and immunotherapies, it is a potential marker for therapeutic prediction. Therefore, effective discrimination of tumor hypoxia for predicting therapeutic outcomes is critical. Here, a magnetic resonance imaging (MRI)-based diagnosis strategy using contrast-amplifying nanoprobes that sense tumor acidosis and real-time observation of hypoxic conditions in tumors has been developed, aiming at accurate detection of pancreatic tumors and prediction of therapeutic effects. Our approach selectively probed xenograft, allograft, and transgenic spontaneous models of intractable pancreatic cancer, which lacks standardized predictive markers to identify patients who benefit most from treatments, and effectively discriminated the intratumoral hypoxia levels. By stratification of pancreatic tumors based on quantitative MR imaging of hypoxia, it enabled prediction of the responses to radiotherapy and immune checkpoint inhibitors. Moreover, the nanoprobe-based MRI could monitor hypoxia reduction by tumor normalization treatments, which permits visualizing pancreatic tumors that will respond to immune checkpoint blockade therapy, enhancing the response rate. The results demonstrate the potential of our strategy for accurate tumor diagnosis, patient stratification, and effective therapy.
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http://dx.doi.org/10.1021/acsnano.1c04263DOI Listing
August 2021

Virtual or real: lifelike cinematic rendering of adrenal tumors.

Quant Imaging Med Surg 2021 Aug;11(8):3854-3866

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

The adrenal gland is small in size and hidden in location. Adrenal tumors are relatively difficult to diagnose due to the wide variety of tumors and partial overlap of image features. Cinematic rendering (CR) is a novel, three-dimensional post-processing technology that simulates how light propagates in the real world, providing high-resolution visualizations that truly present subtle anatomical details. We retrospectively collected a series of pathologically confirmed adrenal tumor cases, raw data was introduced into the post-processing workstation, and different tools and templates of CR software were used for reconstruction and rendering. Compared with traditional black and white two-dimensional images and three-dimensional volume rendering (VR) images, CR images were more colorful, layered, and closer to the truth. CR has potential in diagnosing and preoperative planning of adrenal tumors, allowing vivid and realistic visualization of tumor location, morphology, different components (solid, cystic, fat, calcification, etc.), the pattern of enhancement, and the relationship with surrounding tissues and organs.
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http://dx.doi.org/10.21037/qims-20-1282DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245928PMC
August 2021

LOC100996425 acts as a promoter in prostate cancer by mediating hepatocyte nuclear factor 4A and the AMPK/mTOR pathway.

J Cell Mol Med 2021 Sep 26;25(17):8174-8186. Epub 2021 Jul 26.

Department of Urology, The Second Hospital of Jilin University, Changchun, China.

The involvement of long non-coding RNAs (lncRNAs), differentially expressed genes and signals in prostate cancer (PCa) continues to be a subject of investigation. This study determined effects of LOC100996425 on human PCa by targeting hepatocyte nuclear factor 4A (HNF4A) via the AMPK/mTOR pathway. PCa and adjacent normal tissues were obtained to characterize expression pattern of LOC100996425, HNF4A and the AMPK/mTOR pathway-related genes. Then, the target gene of LOC100996425 was determined with lncRNA target prediction website and further verification was obtained through luciferase assay and ribonucleoprotein immunoprecipitation. After that, PCa cells were introduced with LOC100996425, HNF4A, siLOC100996425 or siHNF4A to explore the specific significance of LOC100996425 and HNF4A in PCa. The mechanism associated with AMPK/mTOR pathway was investigated using AMPK inhibitor or activator. LOC100996425 was up-regulated, while HNF4A was down-regulated in the PCa tissues. HNF4A was a target gene of LOC100996425. PCa cells transfected with either siLOC100996425 or HNF4A displayed reduced rates of PCa cell proliferation and migration while elevating cell apoptosis. HNF4A overexpression reversed the promotive effect of LOC100996425 overexpression on PCa. The activation of AMPK pathway involved in the cancer progression mediated by LOC100996425. Down-regulation of LOC100996425 retards progression of PCa through HNF4A-mediated AMPK/mTOR pathway.
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http://dx.doi.org/10.1111/jcmm.16657DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419185PMC
September 2021

Neuroprotective Effects of Isoquercetin: An and Study.

Cell J 2021 Aug 17;23(3):355-365. Epub 2021 Jul 17.

Neurosurgery Department, Second Hospital of Jilin University, Changchun City, Jilin Province, 130000, China. Email:

Objective: Alzheimer's disease (AD) is considered a neurodegenerative disease that affects the cognitive function of elderly individuals. In this study, we aimed to analyze the neuroprotective potential of isoquercetin against the and models of AD and investigated the possible underlying mechanisms.

Materials And Methods: The experimental study was performed on PC12 cells treated with lipopolysaccharide (LPS). Reactive oxygen species (ROS), antioxidant parameters, and pro-inflammatory cytokines were measured. In an approach, Wistar rats were used and divided into different groups. We carried out the Morris water test to determine the cognitive function. Biochemical parameters, antioxidant parameters, and pro-inflammatory parameters were examined.

Results: The non-toxic effect on PC12 cells was shown by isoquercetin. Isoquercetin significantly reduced the production of nitrate and ROS, along with the altered levels of antioxidants. Isoquercetin significantly (P<0.001) down-regulated proinflammatory cytokines in PC12 cells treated with LPS. In the approach, isoquercetintreated groups considerably showed the up-regulation in the latency and transfer latency time, as compared with AD groups. Isoquercetin significantly reduced Aβ-peptide, protein carbonyl, while enhanced the production of brainderived neurotrophic factor (BDNF) and acetylcholinesterase (AChE). Isoquercetin significantly (P<0.001) reduced pro-inflammatory cytokines and inflammatory mediators, as compared with AD groups.

Conclusion: Based on the results, we may infer that, through antioxidant and anti-inflammatory systems, isoquercetin prevented neurochemical and neurobehavioral modifications against the model of colchicine-induced AD rats.
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http://dx.doi.org/10.22074/cellj.2021.7116DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286454PMC
August 2021

Development and Validation of Noninvasive MRI-Based Signature for Preoperative Prediction of Early Recurrence in Perihilar Cholangiocarcinoma.

J Magn Reson Imaging 2021 Jul 23. Epub 2021 Jul 23.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.

Background: Cholangiocarcinoma is a type of hepatobiliary tumor. For perihilar cholangiocarcinoma (pCCA), patients who experience early recurrence (ER) have a poor prognosis. Preoperative accurate prediction of postoperative ER can avoid unnecessary operation; however, prediction is challenging.

Purpose: To develop a novel signature based on clinical and/or MRI radiomics features of pCCA to preoperatively predict ER.

Study Type: Retrospective.

Population: One hundred eighty-four patients (median age, 61.0 years; interquartile range: 53.0-66.8 years) including 115 men and 69 women.

Field Strength/sequence: A 1.5 T; volumetric interpolated breath-hold examination (VIBE) sequence.

Assessment: The models were developed from the training set (128 patients) and validated in a separate testing set (56 patients). The contrast-enhanced arterial and portal vein phase MR images of hepatobiliary system were used for extracting radiomics features. The correlation analysis, least absolute shrinkage and selection operator (LASSO) logistic regression (LR), backward stepwise LR were mainly used for radiomics feature selection and modeling (Model ). The univariate and multivariate backward stepwise LR were used for preoperative clinical predictors selection and modeling (Model ). The radiomics and preoperative clinical predictors were combined by multivariate LR method to construct clinic-radiomics nomogram (Model ).

Statistical Tests: Chi-squared (χ ) test or Fisher's exact test, Mann-Whitney U-test or t-test, Delong test. Two tailed P < 0.05 was considered statistically significant.

Results: Based on the comparison of area under the curves (AUC) using Delong test, Model and Model had significantly better performance than Model and tumor-node-metastasis (TNM) system in training set. In the testing set, both Model and Model had significantly better performance than TNM system, whereas only Model was significantly superior to Model . However, the AUC values were not significantly different between Model and Model (P = 0.156 for training set and P = 0.439 for testing set).

Data Conclusion: A noninvasive model combining the MRI-based radiomics signature and clinical variables is potential to preoperatively predict ER for pCCA.

Level Of Evidence: 3 TECHNICAL EFFICACY STAGE: 4.
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http://dx.doi.org/10.1002/jmri.27846DOI Listing
July 2021

Comparison of digital subtraction angiography combined arterial thrombectomy versus simple arterial thrombectomy in the treatment of acute lower limb ischemia.

BMC Surg 2021 Jul 15;21(1):313. Epub 2021 Jul 15.

Department of Vascular Surgery, The Third Affiliated Hospital of Soochow University, No.185 Juqian Street, Tianning District, Changzhou, 213003, Jiangsu, China.

Background: This study aimed to compare the clinical efficacy of digital subtraction angiography (DSA) combined arterial thrombectomy versus simple arterial thrombectomy in the treatment of acute lower limb ischemia (ALI).

Methods: This retrospective cohort study collected the clinical data from 124 patients (128 affected lower limbs) with ALI who underwent emergency surgery from March 2010 to November 2019. Patients were consecutively divided into Group A and Group B. Patients in Group A underwent simple arterial thrombectomy via the Fogarty catheterization. Patients in Group B underwent arterial thrombectomy, and the DSA was performed during the surgery. The differences in the success rate of primary surgery, the second intervention rate, and the amputation/mortality rate within 30-days after surgery were compared.

Results: In Group A, 4 of 70 limbs (5.7%) were amputated, 54 of 70 limbs (77.1%) had improved blood flow, 14 of 70 limbs (20.0%) received a second intervention, and 3 of 68 patients (4.4%) died within 30 days. In Group B, 1 of 58 limbs (1.7%) was amputated, 56 of 58 limbs (96.6%) had improved blood flow, 3 of 58 limbs (5.2%) received a second intervention, and 2 of 56 patients (3.5%) died within 30-days. The success rate of primary surgery, the second intervention rate, and the amputation rate of Group B were significantly lower than Group A (P < 0.05).

Conclusion: Arterial thrombectomy combined with DSA may effectively improve the clinical efficacy of patients with ALI.
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http://dx.doi.org/10.1186/s12893-021-01297-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281668PMC
July 2021

A novel risk score system for prognostic evaluation in adenocarcinoma of the oesophagogastric junction: a large population study from the SEER database and our center.

BMC Cancer 2021 Jul 13;21(1):806. Epub 2021 Jul 13.

Department of Gastroenterology Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310000, China.

Background: The incidence rate of adenocarcinoma of the oesophagogastric junction (AEG) has significantly increased over the past decades, with a steady increase in morbidity. The aim of this study was to explore a variety of clinical factors to judge the survival outcomes of AEG patients.

Methods: We first obtained the clinical data of AEG patients from the Surveillance, Epidemiology, and End Results Program (SEER) database. Univariate and least absolute shrinkage and selection operator (LASSO) regression models were used to build a risk score system. Patient survival was analysed using the Kaplan-Meier method and the log-rank test. The specificity and sensitivity of the risk score were determined by receiver operating characteristic (ROC) curves. Finally, the internal validation set from the SEER database and external validation sets from our center were used to validate the prognostic power of this model.

Results: We identified a risk score system consisting of six clinical features that can be a good predictor of AEG patient survival. Patients with high risk scores had a significantly worse prognosis than those with low risk scores (log-rank test, P-value < 0.0001). Furthermore, the areas under ROC for 3-year and 5-year survival were 0.74 and 0.75, respectively. We also found that the benefits of chemotherapy and radiotherapy were limited to stage III/IV AEG patients in the high-risk group. Using the validation sets, our novel risk score system was proven to have strong prognostic value for AEG patients.

Conclusions: Our results may provide new insights into the prognostic evaluation of AEG.
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http://dx.doi.org/10.1186/s12885-021-08558-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278582PMC
July 2021
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