TWIRLS , a knowledge‐mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2

AbstractFaced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the “coronavirus” should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying the viruses and the hosts, the vast amount of information available cannot be processed effectively and in a timely manner, particularly when the scientific understanding may be limited, which can further lower the information processing efficiency. We present TWIRLS, a method that can automatically acquire, organize, and classify information. Additionally, independent functional data sources can be added to build an inference system using a machine-based approach, which can provide relevant knowledge to help human researchers quickly establish subject cognition and to make more effective decisions. TWIRLS can automatically analyze more than three million words in more than 14,000 literature articles in only 4 hours. Combining with generalized gene interaction databases creates a data interface that can help researchers to further analyze the information. Using the TWIRLS system, we found that an important regulatory factor angiotensin-converting enzyme 2 (ACE2) may be involved in the host pathological changes on binding to the coronavirus after infection. After triggering functional changes in ACE2/AT2R, an imbalance in the steady-state cytokine regulatory axis involving the Renin-Angiotensin System and IP-10 leads to a cytokine storm.

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Skill Standard Development for Environmental Risk Management by Knowledge Mining Technology

JOURNAL OF APPLIED COMPUTING IN CIVIL ENGINEERING ◽

10.2208/journalac2003.16.0_1 ◽

2007 ◽

Vol 16 (0) ◽

pp. 1-10

Author(s):

Takanori Matsui ◽

Masamichi Okano ◽

Satoru Kato ◽

Osamu Saito ◽

Tohru Morioka

Keyword(s):

Risk Management ◽

Environmental Risk ◽

Mining Technology ◽

Knowledge Mining ◽

Environmental Risk Management ◽

Standard Development

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A Model of a Novel Coronavirus Infection in Golden Syrian Hamsters: Major Pathological Changes

Biomeditsina ◽

10.33647/2074-5982-17-3-90-94 ◽

2021 ◽

Vol 17 (3) ◽

pp. 90-94

Author(s):

S. V. Chepur ◽

V. A. Myasnikov ◽

M. A. Tyunin ◽

N. S. Ilinskiy ◽

A. S. Nikishin ◽

...

Keyword(s):

Body Weight ◽

Pathological Changes ◽

Histopathological Changes ◽

Syrian Hamsters ◽

Coronavirus Infection ◽

Novel Coronavirus

The paper presents data on the dynamics of body weight and mass coeffi cient of lungs in golden Syrian hamsters after infection with the SARS CoV-2 virus. It was found that the most pronounced deviations of the studied parameters develop on the 7th day of the disease. The study also demonstrates the main histopathological changes in the lungs during this period of the disease.

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X-ray study as an alternative method for visualizing changes in lungs, with infection caused by COVID-19

Medical Visualization ◽

10.24835/1607-0763-1024 ◽

2021 ◽

Vol 25 (2) ◽

pp. 12-18

Author(s):

E. A. Litvinenko ◽

M. M. Erovenko ◽

I. V. Burova

Keyword(s):

Computed Tomography ◽

Lung Tissue ◽

Morphological Changes ◽

Pathological Process ◽

Lung Damage ◽

Radiographic Examination ◽

Pathological Changes ◽

X Ray ◽

Chest X Ray ◽

Coronavirus Infection

Introduction. Despite the existence of generally accepted diagnostic protocols, when a new coronavirus infection is suspected, in some cases, it is increasingly difficult to detect changes in the lung tissue in a timely manner due to the heavy workload of the main method of radiation diagnostics – computed tomography. Purpose of the study. To determine the effectiveness of the appointment of an X-ray examination as first-line metgod, as well as to carry out a comparative analysis of the use of radiation diagnostics methods – computed tomography and radiography in relation to the diagnostic sensitivity to changes in lung tissue when a person is infected with the SARS-COV-2 virus.Materials and methods. 150 patients (63.0 ± 8.4 years) with confirmed coronavirus infection were examined. Each of the participants underwent X-ray examination and computed tomography of the chest organs. The percentage of subjects studied for each of the degrees of severity of lung damage was determined to identify the proportion of involvement of lung tissue in the pathological process in the bulk of the examined individuals.Results. Of the 150 patients, changes in the lung tissue during chest X-ray were detected in 97 (65%), respectively, in 53 (35%), pathological changes in the lungs were not visualized. When examining patients by computed tomography, changes in the lungs were detected in 143 patients (95%), X-ray morphological changes were not detected in 7 subjects (5%). When detecting the volume of lung damage, it turned out that the majority of the subjects – 86 people (57%) – had the degree of damage CT-2. The degree of CT-1 and CT-3 was determined in 26 (17%) and 25 (17%) patients, respectively. CT-4 was observed in 6 patients (4%), and in 5% of cases, CT was not able to detect pathological changes in the lung tissue, the degree of CT-0 was established.Conclusion. In the assessment of viral lung damage, radiography takes a significant place, but in 35% of cases, radiographic examination failed to identify the existing pathological changes. CT of the chest organs confirms its value as the “gold standard” in the study of pulmonary pathology in coronavirus infection, but if it is impossible to perform it, radiography is recommended.

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TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection

10.1101/2020.02.24.20025437 ◽

2020 ◽

Author(s):

Xiaoyang Ji ◽

Chunming Zhang ◽

Yubo Zhai ◽

Zhonghai Zhang ◽

Chunli Zhang ◽

...

Keyword(s):

Large Scale ◽

Renin Angiotensin System ◽

Gene Interaction ◽

Global Perspective ◽

Pathological Changes ◽

Processing Efficiency ◽

Inference System ◽

Angiotensin Converting Enzyme 2 ◽

Functional Changes ◽

Coronavirus Infection

AbstractFaced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the “coronavirus” should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying the viruses and the hosts, the vast amount of information available cannot be processed effectively and in a timely manner, particularly when the scientific understanding may be limited, which can further lower the information processing efficiency. We present TWIRLS, a method that can automatically acquire, organize, and classify information. Additionally, independent functional data sources can be added to build an inference system using a machine-based approach, which can provide relevant knowledge to help human researchers quickly establish subject cognition and to make more effective decisions. TWIRLS can automatically analyze more than three million words in more than 14,000 literature articles in only 4 hours. Combining with generalized gene interaction databases creates a data interface that can help researchers to further analyze the information. Using the TWIRLS system, we found that an important regulatory factor angiotensin-converting enzyme 2 (ACE2) may be involved in the host pathological changes on binding to the coronavirus after infection. After triggering functional changes in ACE2/AT2R, an imbalance in the steady-state cytokine regulatory axis involving the Renin-Angiotensin System and IP-10 leads to a cytokine storm.

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Reversal of cardiomyopathy resulting from prenatal exposure to ethanol

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100113469 ◽

1984 ◽

Vol 42 ◽

pp. 716-717

Author(s):

C. Uphoff ◽

C. Nyquist-Battie

Keyword(s):

Prenatal Exposure ◽

Heart Development ◽

Membrane Integrity ◽

Ethanol Exposure ◽

Prenatal Ethanol Exposure ◽

Pathological Changes ◽

Prenatally Exposed ◽

Inner Mitochondrial Membrane ◽

Fetal Alcohol ◽

Newborn Mice

Fetal Alcohol Syndrone (FAS) is a syndrome with characteristic abnormalities resulting from prenatal exposure to ethanol. In many children with FAS syndrome gross pathological changes in the heart are seen with septal defects the most prevalent abnormality recorded. Few studies in animal models have been performed on the effects of ethanol on heart development. In our laboratory, it has been observed that prenatal ethanol exposure of Swiss albino mice results in abnormal cardiac muscle ultrastructure when mice were examined at birth and compared to pairfed and normal controls. Fig. 1 is an example of the changes that are seen in the ethanol-exposed animals. These changes include enlarged mitochondria with loss of inner mitochondrial membrane integrity and loss of myofibrils. Morphometric analysis substantiated the presence of these alterations from normal cardiac ultrastructure. The present work was undertaken to determine if the pathological changes seen in the newborn mice prenatally exposed to ethanol could be reversed with age and abstinence.

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