Gelatin methacryloyl hydrogel eye pad loaded with amniotic extract prevents symblepharon in rabbit eyes

OBJECTIVE

The aim was to evaluate the ability of gelatin methacryloyl (GelMA) hydrogel eye pads loaded with amniotic extract to prevent symblepharon in rabbits.

MATERIALS AND METHODS

Forty-eight rabbits were divided into 3 groups. After ocular alkali burn, Group A (n=16) was treated with amniotic extract-loaded hydrogel eye pads placed in the conjunctival sac, Group B (n=16) was treated with amniotic membrane transplantation, and Group C (n=16) received no treatment. At 1, 2, 3, and 4 weeks post-injury, 4 rabbits from each group were selected to evaluate for symblepharon, determine epithelial healing rate and corneal neovascularization, conduct histopathology, and to quantify the expression of TGF-β1.

RESULTS

At 1 week post-injury, the epithelial healing rate in Groups A and B was higher than Group C (p=0.002, 0.001, respectively). At 2 weeks, corneal neovascularization in Group B was less than Group C (p=0.004). At 3 and 4 weeks, no symblepharon has been found in Group A, but it was found in some eyes in Group B and C (p=0.009, 0.013). Further, the expression of TGF-β1 in Group A was lower than in Group B and C (p<0.001). H&E staining showed that the controls in Group C had more edema and inflammatory cell infiltration in the first 2 weeks, relative to Groups A and B. At 4 weeks, Masson's Trichrome staining showed that fibers were most regularly aligned in Group A and that immuno-histochemical staining found that proliferating cell nuclear antigen was highest expressed in Group C.

CONCLUSIONS

Treatment with GelMA hydrogel eye pads loaded with amniotic extract shortly after chemical injury prevented symblepharon in rabbits.

[Research Status of Postmortem MSCT Angiography in Forensic Science]

Abstract

Virtual autopsy is a new technique for investigating the morphological changes of cadaveric tissues and organs by medical imaging technology. It has been widely used in the identification of causes of death. Multislice spiral computed tomography （MSCT） has become a routine inspection method in some identification institutions, although it cannot completely replace traditional autopsy, it plays a key auxiliary or substitute role in the identification of certain abnormal causes of death. Plain MSCT scan cannot visualize cadaveric vessels, but can perform cadaveric angiography to determine vascular injury or disease. This technology has entered a rapid development period in recent years, and has made a considerable progress in contrast agent, perfusion methods and imaging methods. This article summarizes several common cadaveric MSCT angiography methods, such as systemic angiography, angiography through cardiopulmonary resuscitation, targeted angiography, and angiography by cardiac puncture, and analyzes and compares the application prospects.

LncRNA CASC15 functions as an oncogene by sponging miR-130b-3p in bladder cancer

OBJECTIVE

Recent studies have revealed that long noncoding RNAs (lncRNAs) are dysregulated in malignant tumors and participates in carcinogenesis. The purpose of our study was to uncover the mechanisms underlying lncRNA CASC15 in bladder cancer (BLCA).

PATIENTS AND METHODS

In this research, Real Time-quantitative Polymerase Chain Reaction (RT-qPCR) was performed to detect cancer susceptibility candidate 15 (CASC15) expression in BLCA samples and cells. Besides, the wound healing assay and transwell assay were performed in BLCA cells after CASC15 was knocked down. Furthermore, the bioinformatics analysis and dual-luciferase reporter assay were conducted to explore the target miRNA of CASC15, which was further verified through rescue experiments in BLCA cells.

RESULTS

CASC15 expression was upregulated in BLCA tissue samples. Moreover, CASC15 downregulated the miR-130b-3p expression and promoted cell migration and invasion in BLCA in vitro. The rescue experiments also revealed that the inhibitory effects by the silence of CASC15 could be reversed through the inhibition of miR-130b-3p.

CONCLUSIONS

Our study suggested a vital regulatory mechanism of CASC15 in BLCA, and the CASC15/miR-130b-3p axis might serve as a new therapeutic interventional target for BLCA patients.

[Comparison of Three CNN Models Applied in Bone Age Assessment of Pelvic Radiographs of Adolescents]

Abstract

Objective To compare the performance of three deep-learning models （VGG19, Inception-V3 and Inception-ResNet-V2） in automatic bone age assessment based on pelvic X-ray radiographs. Methods A total of 962 pelvic X ray radiographs taken from adolescents （481 males, 481 females） aged from 11.0 to 21.0 years in five provinces and cities of China were collected, preprocessed and used as objects of study. Eighty percent of these X ray radiographs were divided into training set and validation set with random sampling method and used for model fitting and hyper-parameters adjustment. Twenty percent were used as test sets, to evaluate the ability of model generalization. The performances of the three models were assessed by comparing the root mean square error （RMSE）, mean absolute error （MAE） and Bland-Altman plots between the model estimates and the chronological ages. Results The mean RMSE and MAE between bone age estimates of the VGG19 model and the chronological ages were 1.29 and 1.02 years, respectively. The mean RMSE and MAE between bone age estimates of the Inception-V3 model and the chronological ages were 1.17 and 0.82 years, respectively. The mean RMSE and MAE between bone age estimates of the Inception-ResNet-V2 model and the chronological ages were 1.11 and 0.84 years, respectively. The Bland-Altman plots showed that the mean value of differences between bone age estimates of Inception-ResNet-V2 model and the chronological ages was the lowest. Conclusion In the automatic bone age assessment of adolescent pelvis, the Inception-ResNet-V2 model performs the best while the Inception-V3 model achieves a similar accuracy as VGG19 model.

[Impact of complicated myocardial injury on the clinical outcome of severe or critically ill COVID-19 patients]

Objective: To analyze the clinical characteristics of the severe or critically ill patients with novel coronavirus pneumonia (COVID-19), and evaluate the impact of complicated myocardial injury on the prognosis of these patients. Methods: A retrospective study was conducted in 54 patients who admitted to Tongji hospital from February 3, 2020 to February 24, 2020 and met the criteria of severe or critical conditions of COVID-19. The clinical characteristics and hospital mortality rate were analyzed and compared between the patients with or without myocardial injury, which was defined with 3 times higher serum cardiac troponin value. Results: The age of the 54 patients was 68.0(59.8, 74.3) years. Among all the patients, 24 (44.4%) patients were complicated with hypertension, 13 (24.1%) with diabetes, 8 (14.8%) with coronary heart disease, and 3 (5.6%) with previous cerebral infarction. During hospitalization, 24 (44.4%) of the patients were complicated with myocardial injury and 26 (48.1%) patients died in hospital. In-hospital mortality was significantly higher in patients with myocardial injury than in patients without myocardial injury (14 (60.9%) vs. 8 (25.8%), P=0.013). Moreover, the levels of C-reactive protein (153.6 (80.3, 240.7) ng/L vs. 49.8 (15.9, 101.9) ng/L) and N-terminal pro-B-type natriuretic peptide (852.0 (400.0, 2 315.3) ng/L vs. 197.0 (115.3, 631.0) ng/L) were significantly higher than patients without myocardial injury (all P<0.01). Conclusions: Prevalence of myocardial injury is high among severe or critically ill COVID-19 patients. Severe or critically ill COVID-19 patients with myocardial injury face a significantly higher risk of in-hospital mortality. The study suggests that it is important to monitor and manage the myocardial injury during hospitalization for severe or critically ill COVID-19 patients.

Psychological support and the COVID-19 - A short report

OBJECTIVE

The World Health Organization reported a cluster of cases of pneumonia of unknown cause detected on December 31, 2019 in China. Unfortunately, a 34-year-old Italian nurse has committed suicide after testing positive for coronavirus. It was the second case of suicide by a nurse in an Italian hospital and occurred only a few days after the first suicide. These consecutive suicides have aroused concern, and it is necessary to investigate the psychological issues of the medical staff in Italy regarding the COVID-19.

LncRNA CASC15 functions as an oncogene by sponging miR-130b-3p in bladder cancer

Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "LncRNA CASC15 functions as an oncogene by sponging miR-130b-3p in bladder cancer, by X. Yu, Z.-L. Wang, C.-L. Han, M.-W. Wang, Y. Jin, X.-B. Jin, Q.-H. Xia, published in Eur Rev Med Pharmacol Sci 2019; 23 (22): 9814-9820-DOI: 10.26355/eurrev_201911_19544-PMID 31799648" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/19544.

Internet+ and COVID-19 - A short report

OBJECTIVE

COVID-19 broke out in China at the end of 2019 and spread rapidly around the world. The World Health Organization designated COVID-19 as a global pandemic on March 11, 2020. China has adopted its own country-specific comprehensive prevention and control measures, and, as a result, the domestic COVID-19 epidemic became effectively controlled in China in mid-March 2020. During the COVID-19 epidemic, remarkable changes have taken place in China's domestic learning, living, and working methods, primarily in terms of the synergy between the Internet Plus (Internet+) strategy and the leadership of the Chinese government.

Mask crisis during the COVID-19 outbreak

On December 31, 2019, the World Health Organization (WHO) reported a cluster of cases of pneumonia of unknown cause detected in Wuhan City, Hubei Province, China. As of February 29, 2020, the National Health Commission of China has reported 79,389 confirmed cases of SARS-CoV-2 infection in 34 provinces. The masks can be used to block respiratory transmission from human to human, and are an effective way to control influenza. It is, therefore, necessary to wear a mask when respiratory infectious diseases are prevalent. China has a population of 1.4 billion. Assuming that two-thirds of the people in China must wear a mask every day, the daily demand for masks will reach 900 million. The Chinese government has taken many measures to solve these problems. Additionally, more measures should be taken to properly dispose of mask garbage. Although the outbreak originated in China, person-to-person transmission of SARS-CoV-2 has been confirmed, which means that it can be spread to anywhere in the world if prevention measures fail. The issues regarding face mask shortages and garbage in China, therefore, deserve worldwide attention.

Research Progress and Prospect of Machine Learning in Bone Age Assessment

Abstract

Bone age assessment has always been one of the key issues and difficulties in forensic science. With the gradual development of machine learning in many industries, it has been widely introduced to imageology, genomics, oncology, pathology, surgery and other medical research fields in recent years. The reason why the above research fields can be closely combined with machine learning, is because the research subjects of the above branches of medicine belong to the computer vision category. Machine learning provides unique advantages for computer vision research and has made breakthroughs in medical image recognition. Based on the advantages of machine learning in image recognition, it was combined with bone age assessment research, in order to construct a recognition model suitable for forensic skeletal images. This paper reviews the research progress in bone age assessment made by scholars at home and abroad using machine learning technology in recent years.

Research Progress on Postmortem Changes of Computed Tomography Imaging Characteristics on Corpses

Abstract

Postmortem changes on corpses appear immediately after death, and can transform the original structure characteristics of the corpse to different degrees as well as show specific changes on computed tomography （CT） images, sometimes with false positives and false negatives, influencing the identification of injuries or diseases. This paper systematically summarizes the postmortem changes of computed tomography imaging characteristics on corpses, to further expand the application of virtopsy in the practices of forensic pathology identification, and provide reference for the identification of injuries, diseases and changes after normal death.

Assessment of the Original Height of L1~2 after Vertebral Compression Fracture

OBJECTIVES

To explore the assessment method of original height of L_1-2 after vertebral compression fracture and its application value in forensic clinical practice.

METHODS

A total of 154 normal thoracic and lumbar X-ray films were collected, and 140 cases were used as experimental group while 14 cases as validation group. The heights of anterior （Ha） and posterior （Hp） vertebral body of T₁₂-L₃ vertebrae in each X-ray image were measured. In the experimental group, the correlation analysis between Ha_L₁ and Ha_T₁₂, Hp_T₁₂, Hp_L₁, Ha_L₂ and Hp_L₂ was carried out, and regression equation was established via fitting. The correlation analysis between Ha_L₂ and Ha_L₁, Hp_L₁, Hp_L₂, Ha_L₃, Hp_L₃ was performed, and the regression equation was also established via fitting. The difference between the predicted and measured values of Ha_L₁ and Ha_L₂ in validation group was compared.

RESULTS

In the 140 normal subjects, Ha_L₁ （y₁） was well correlated with Ha_T₁₂ （x₁） and Ha_L₂（x₂）, and the multiple linear regression equation was y₁=2.545+0.423 x₁+0.486 x₂ （determining coefficient R²=0.712, P<0.05; F=169.206, P<0.05）. There was no significant difference between the predicted and actual measured values of Ha_L₁ in the validation group （ P>0.05）. HaL₂ （y₂） was well correlated with Ha_L₁ （x₃） and Ha_L₃ （x₄）, and the multiple linear regression equation was y₂=4.354+0.530 x₃+0.349 x₄ （determining coefficient R²=0.689, P<0.05; F=151.575, P<0.05）. There was no significant difference between the predicted and actual measured values of Ha_L₂ in the validation group （ P>0.05）.

CONCLUSIONS

It is more appropriate to evaluate the original height of L₁ or L₂ single vertebrae by comparing with the height of the anterior edge of the upper and lower adjacent vertebral bodies.

[Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning]

OBJECTIVES

To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint in Uyghur teenagers, and explore its practical application value in forensic medicine bone age assessment.

METHODS

The X-ray films of left wrist joint after pretreatment, which were taken from 245 male and 227 female Uyghur nationality teenagers in Uygur Autonomous Region aged from 13.0 to 19.0 years old, were chosen as subjects. And AlexNet was as a regression model of image recognition. From the total samples above, 60％ of male and female DR images of left wrist joint were selected as net train set, and 10％ of samples were selected as validation set. As test set, the rest 30％ were used to obtain the image recognition accuracy with an error range in ±1.0 and ±0.7 age respectively, compared to the real age.

RESULTS

The modelling results of deep learning algorithm showed that when the error range was in ±1.0 and ±0.7 age respectively, the accuracy of the net train set was 81.4% and 75.6% in male, and 80.5% and 74.8% in female, respectively. When the error range was in ±1.0 and ±0.7 age respectively, the accuracy of the test set was 79.5% and 71.2% in male, and 79.4% and 66.2% in female, respectively.

CONCLUSIONS

The combination of bone age research on teenagers' left wrist joint and deep learning, which has high accuracy and good feasibility, can be the research basis of bone age automatic assessment system for the rest joints of body.

[Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment]

Deep learning and neural network models have been new research directions and hot issues in the fields of machine learning and artificial intelligence in recent years. Deep learning has made a breakthrough in the applications of image and speech recognitions, and also has been extensively used in the fields of face recognition and information retrieval because of its special superiority. Bone X-ray images express different variations in black-white-gray gradations, which have image features of black and white contrasts and level differences. Based on these advantages of deep learning in image recognition, we combine it with the research of bone age assessment to provide basic datum for constructing a forensic automatic system of bone age assessment. This paper reviews the basic concept and network architectures of deep learning, and describes its recent research progress on image recognition in different research fields at home and abroad, and explores its advantages and application prospects in bone age assessment.

LncRNA SNHG7 promotes the proliferation and inhibits apoptosis of gastric cancer cells by repressing the P15 and P16 expression

OBJECTIVE

To investigate the relative expression of long non-coding small nucleolar RNA host gene 7 (lncRNA SNHG7) in gastric cancer tissues and cells, the effect of lncRNA SNHG7 on proliferation and apoptosis of gastric cancer cells in vivo and in vitro experiments, and the relevant mechanism.

PATIENTS AND METHODS

Real-time quantitative polymerase chain reaction (qRT-PCR) experiment was performed to detect the relative expressions of SNHG7 in the gastric cancer tissues and cells. In presence of lip2000, SNHG7 interference sequence was transiently transfected into the gastric cancer cells followed by transfection efficiency detection by qRT-PCR. Cell count kit 8 (CCK-8) and clone formation assay were also carried out to detect the effect of SNHG7 on the proliferation of gastric cancer cells, flow cytometry (FCM) to detect the effect of SNHG7 on the cycle and apoptotic rate of gastric cancer cells, in vivo experiment to detect the effect of SNHG7 on biological behaviors of gastric cancer cells, and Western blotting assay to detect the variations in expression of downstream proteins after SNHG7 expression was interfered.

RESULTS

The qRT-PCR experiment showed that in a total of 68 cases of cancer tissues and tumor-adjacent tissues, the relative expression of SNHG7 was upregulated in 48 cases of gastric cancer tissues and 5 gastric cancer cell lines. The in vitro experiments showed that after SNHG7 expression was interfered, the proliferation of gastric cancer cells was inhibited with an increase in apoptotic rate and arrest of cell cycle in G1/G0 phase. Experiment on nude-mouse transplanted tumor model confirmed that after SNHG7 expression was interfered, in vivo tumor growth was inhibited, and the Western blotting assay revealed that regulation of p15 and p16 expressions constituted a part of the potential molecular mechanism.

CONCLUSIONS

Relative expression of SNHG7 is upregulated in gastric cancer tissues and cells, and partially contributes to the development and progression of gastric cancer through regulation of p15 and p16 expressions. Thus, interference on expression of SNHG7 can provide critical the theoretical basis for inverting the malignant phenotype of gastric cancer in clinical practice.