COVID-19 and liver dysfunction: What nutritionists need to know

Wang, Mingke; Yu, Xue-Lu; Zhou, Liyun; Si, Hong-Mei; Hui, Ju-Fen; Hou, Deng-Yong; Li, Weipeng; Yang, Junhua

doi:10.3748/wjg.v28.i15.1526

Cited by 8 publications

(12 citation statements)

References 70 publications

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“…Saliva contains mucin and glycosylated proteins that act as the source of growth and metabolism of oral microbes by providing carbon and nitrogen. Saliva plays a vital role in preventing pathogens from entering the respiratory and gastrointestinal tracts, thus serving the purpose of a "gate keeper" [ 12 ].…”

Section: Reviewmentioning

confidence: 99%

“…So, there is a distinct correlation between the reduction in saliva flow and an increase in the severity of respiratory infections. Various analyses performed to relate the behavior of the virus with the composition and biological function of the saliva indicate that virus transmission is associated with saliva [ 12 ].…”

Section: Reviewmentioning

confidence: 99%

“…And its genus is the two most common human pathogens. The coronaviruses like SARS-CoV, SARS-Cov-2, and MERS-CoV all belong to the genus [ 12 ].…”

Section: Reviewmentioning

confidence: 99%

“…The S protein binds with the ACE-2 receptor by activating host type II transmembrane serine protease TMPRS2 on the primary target cell [ 5 ] to gain entry into the host cell. The ACE-2 receptor was most highly expressed in tongue epithelial cells, followed by buccal and gingival tissue [ 12 ] and oral fibroblasts in oral tissues [ 5 ]. Minor salivary glands also express the ACE2 receptor, which means they could be a possible target for COVID-19 [ 11 ].…”

Section: Reviewmentioning

confidence: 99%

“…Minor salivary glands also express the ACE2 receptor, which means they could be a possible target for COVID-19 [ 11 ]. The early SARS-Cov-2 infection may have been caused by the virus that is released from the salivary glands [ 12 ]. Thus, saliva plays a vital role in the detection as well as transmission of SARS-Cov-2, especially in asymptomatic cases [ 11 ].…”

Section: Reviewmentioning

confidence: 99%

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Role of Saliva as a Non-Invasive Diagnostic Method for Detection of COVID-19

Ghosh¹,

Dhobley²,

Avula³

et al. 2022

Cureus

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SARS coronavirus2 is the primary cause of new Coronavirus illness (COVID-19) (SARS-COV-2). Today, COVID-19 is a global epidemic. Coronavirus illness may be diagnosed using a variety of approaches. The gold standard is RT-PCR, which is used in all of these assays. Swabs from the nose, pharynx, or mouth are the most often used sampling methods for coronavirus detection. For COVID-19 testing, saliva may be utilized as an alternate sample. When compared to a nasopharyngeal swab, saliva samples have a number of advantages and disadvantages. Saliva has also been reviewed as a non-invasive diagnostic tool for the detection of COVID-19. The affordability of the salivary diagnostic process makes it an effective process for detecting the COVID-19 viruses. The researchers have found that salivary diagnostic processes have greater chances of success than other processes of Coronavirus detection. However, healthcare professionals need to make positive changes to their working processes to ensure the sustainability of the salivary diagnosis processes.

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Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

“…And its genus is the two most common human pathogens. The coronaviruses like SARS-CoV, SARS-Cov-2, and MERS-CoV all belong to the genus [ 12 ].…”

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Role of Saliva as a Non-Invasive Diagnostic Method for Detection of COVID-19

Ghosh¹,

Dhobley²,

Avula³

et al. 2022

Cureus

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Demystifying COVID-19 mortality causes with interpretable data mining

Qian,

Zuo,

et al. 2024

Sci Rep

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While COVID-19 becomes periodical, old individuals remain vulnerable to severe disease with high mortality. Although there have been some studies on revealing different risk factors affecting the death of COVID-19 patients, researchers rarely provide a comprehensive analysis to reveal the relationships and interactive effects of the risk factors of COVID-19 mortality, especially in the elderly. Through retrospectively including 1917 COVID-19 patients (102 were dead) admitted to Xiangya Hospital from December 2022 to March 2023, we used the association rule mining method to identify the risk factors leading causes of death among the elderly. Firstly, we used the Affinity Propagation clustering to extract key features from the dataset. Then, we applied the Apriori Algorithm to obtain 6 groups of abnormal feature combinations with significant increments in mortality rate. The results showed a relationship between the number of abnormal feature combinations and mortality rates within different groups. Patients with “C-reactive protein > 8 mg/L”, “neutrophils percentage > 75.0 %”, “lymphocytes percentage < 20%”, and “albumin < 40 g/L” have a 2$$\times$$ × mortality rate than the basic one. When the characteristics of “D-dimer > 0.5 mg/L” and “WBC > $$9.5 \times 10^9$$ 9.5 × 10 9 /L” are continuously included in this foundation, the mortality rate can be increased to 3$$\times$$ × or 4$$\times$$ × . In addition, we also found that liver and kidney diseases significantly affect patient mortality, and the mortality rate can be as high as 100%. These findings can support auxiliary diagnosis and treatment to facilitate early intervention in patients, thereby reducing patient mortality.

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Demystifying COVID-19 Mortality Causes with Interpretable Data Mining

Qian,

Zuo,

et al. 2024

Preprint

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While SARS-CoV-2 infection rates are declining, older adults remain vulnerable to severe disease with high mortality. Although there have been some studies on revealing different risk factors affecting the death of COVID-19 patients, such as bilirubin, organ failure, patient age, and underlying disease, they fail to provide a comprehensive analysis to reveal their relationships and interactive effects on the risk of death. Based on the demographic information, inspection indicators, and underlying diseases of 1917 patients (102 were dead) admitted to Xiangya Hospital over a 4-month period, we used the association rule mining method to identify the risk factors leading causes of death among elderly Omicron patients. Firstly, we used the Affinity Propagation clustering to extract key features such as blood parameters, liver function indicators, renal function indicators, coagulation function indicators, and underlying diseases affecting death from the dataset. Then, we applied the Apriori to obtain 7 groups of abnormal feature combinations with significant increments in mortality rate. The results showed a relationship between the number of abnormal feature combinations and mortality rates within different groups. For instance, patients with “C-reactive protein > 8 mg/L”, “neutrophils percentage > 75.0 %”, “lymphocytes percentage < 20 %”, and “albumin < 40 g/L” have a 2x mortality rate than the basic one. If the characteristics of “D-dimer > 0.5 mg/L” and “WBC > 9.5 * 10 9 /L” are continuously included in this foundation, the mortality rate can be increased to 3x or 4x. In addition, we also found that liver and kidney diseases significantly affect patient mortality. Given patients with liver and renal diseases associated with other abnormal features, their mortality rate can be as high as 100 %. These findings can support auxiliary diagnosis and treatment to, facilitate early intervention in patients, thereby reducing patient mortality.

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COVID-19 and liver dysfunction: What nutritionists need to know

Cited by 8 publications

References 70 publications

Role of Saliva as a Non-Invasive Diagnostic Method for Detection of COVID-19

Role of Saliva as a Non-Invasive Diagnostic Method for Detection of COVID-19

Demystifying COVID-19 mortality causes with interpretable data mining

Demystifying COVID-19 Mortality Causes with Interpretable Data Mining

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