An overview on role of nutrition on COVID-19 immunity: Accumulative review from available studies

Mohammadi, Amir Hossein; Behjati, Mohaddeseh; Karami, Mohammad Reza; Hosseini-Abari, Afrouzossadat; Sobhani‐Nasab, Ali; Rourani, Hamed Amini; Hazrati, Ebrahim; Mirghazanfari, Sayid Mahdi; Hadi, Vahid; Hadi, Saeid; Milajerdi, Alireza

doi:10.1016/j.nutos.2022.11.001

Cited by 3 publications

(2 citation statements)

References 213 publications

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“…In terms of the severity of COVID-19 among pregnant patients, our results indicated a higher proportion of mild cases compared to severe cases. This aligns with the existing literature, suggesting that pregnant individuals generally experience milder symptoms than non-pregnant individuals [28][29][30].…”

Section: Resultssupporting

confidence: 90%

Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach

Yousif,

Zeiny,

Tawfeeq

et al. 2023

JMedLife

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This study aimed to explore the role of artificial intelligence (AI) in predicting perinatal outcomes among women with COVID-19. Data was collected from hospitals in the Middle Euphrates and Southern regions of Iraq, with 152 pregnant patients included in the study. Patients were categorized into mild and severe infection groups, and their serum samples were analyzed for mineral levels (magnesium, copper, calcium, sodium, potassium, zinc, selenium, and iron) and immune factors (IL-6, IL-8, IL-32, IL-10, IL-18, IL-37, IL-38, IL-36, and IL-1). The findings revealed significant associations between specific mineral levels, immune factors, and perinatal outcomes. Mineral levels such as magnesium (75.5% mild infection, 80.9% severe infection), copper (68.2% mild infection, 64.3% severe infection), calcium ion (81.8% mild infection, 76.2% severe infection), sodium (70.9% mild infection, 69.0% severe infection), potassium (72.7% mild infection, 71.4% severe infection), zinc (61.8% mild infection, 54.8% severe infection), selenium (78.2% mild infection, 82.9% severe infection), and iron (74.5% mild infection, 68.3% severe infection) showed varying percentages associated with mild and severe infections. Immune factors such as IL-6 (32% mild infection, 21% severe infection), IL-8 (15% mild infection, 7% severe infection), IL-32 (24% mild infection, 9% severe infection), IL-10 (7% mild infection, no severe infection), IL-18 (13% mild infection, 11% severe infection) demonstrated varying percentages associated with perinatal outcomes, while other interleukins showed no changes in severe infections. These results highlight the potential of AI in predicting outcomes for pregnant women with COVID-19, which could aid in improving their management and care. Further research and validation of predictive models are recommended to enhance accuracy and applicability.

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Section: Resultssupporting

confidence: 90%

Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach

Yousif,

Zeiny,

Tawfeeq

et al. 2023

JMedLife

View full text Add to dashboard Cite

show abstract

“…The underlying mechanisms by which malnutrition exacerbates COVID-19 severity involve both direct and indirect effects on patient health. Malnutrition weakens immune defense mechanisms, as evidenced by a reduced lymphocyte count and impaired phagocytic function, which are critical for combating viral infections [ 29 , 30 ]. Deficiencies in essential proteins, vitamins, and minerals further weaken physical barriers and cellular immunity.…”

Section: Discussionmentioning

confidence: 99%

Malnutrition and the Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Multi-Institutional Population-Based Propensity Score-Matched Analysis

Lee,

Liang,

Hsu

et al. 2024

Life

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Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a global health crisis, exacerbating issues like malnutrition due to increased metabolic demands and reduced intake during illness. Malnutrition, a significant risk factor, is linked to worse outcomes in patients with COVID-19, such as increased mortality and extended hospital stays. This retrospective cohort study investigated the relationship between malnutrition and clinical outcomes within 90–180 days using data obtained from the TriNetX database. Patients aged >18 years diagnosed with COVID-19 between 1 January 2022, and 31 March 2024 were enrolled in the study. The propensity score-matching (PSM) method was used to match patients with malnutrition (malnutrition group) and those without malnutrition (control group). The primary composite outcome was the cumulative hazard ratio (HR) for post-COVID-19 condition, all-cause hospitalization, and all-cause mortality between 90 days and 180 days after COVID-19 diagnosis. The secondary outcomes were the individual components of the primary outcomes. Two cohorts, each consisting of 15,004 patients with balanced baseline characteristics, were identified using PSM. During the 90–180-day follow-up period, the malnutrition group exhibited a higher incidence of all-cause hospitalization, mortality, or post-COVID-19 condition (HR = 2.315, 95% confidence interval: 2.170–2.471, p < 0.0001). Compared with patients with COVID-19 without malnutrition, those with malnutrition may be associated with a higher risk of adverse clinical outcomes.

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The role of inflammatory processes and zinc levels in prostatic enlargement among Iraqi samples

Sameen,

Shabeeb,

Rashied

2023

JMedLife

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This study aimed to investigate the role of inflammatory processes in benign prostatic enlargement among men with elevated prostate-specific antigen (PSA) levels without a history of prostatic disease. Additionally, we aimed to examine the influence of serum zinc levels on prostate volume. We investigated the associations between systemic inflammatory markers, serum PSA, and serum zinc levels in 48 men without a history of prostatic disease, aged between 60-72 years, and 30 healthy men in the same age range. Data collection occurred between 1/2/2022 to 1/10/2022. The results are presented as mean values ± standard error (SE), and statistical significance was determined at p≤0.05. The levels of sIL-8 (P: 44.295±1.002, C: 1.404±0.2562), IL-6 (P: 7.406±0.5632, C: 4.468±0.830), CRP (P: 14.765±0.565, C: 6.267±0.538), increased significantly in patients with high PSA, while zinc levels (P: 92.305±2.8235, C: 114.565±8.861) decreased in the patient group. Regarding white blood cell (WBC) parameters, patients exhibited a significant increase in WBC total count (P: 12995.00±488.47, C: 7713.333±777.778), neutrophil % (P: 69.450±1.619, C: 51.200±1.826), lymphocyte % (P: 39.50±2.024, C: 30.867±1.268), and NLR (2.013±0.105). Conversely, there were no significant differences in eosinophil % (P: 3.450±0.4558, C: 3.267±0.5297), basophil % (P: 0.300±0.105, C: 0.267±1182), or monocyte % (P: 3.450±0.4558, C: 3.267±0.5297) between the two groups. In men without known prostatic illness, increased PSA was linked to markers of systemic inflammation. The results indicate the role of inflammatory processes in increasing the size of the prostate gland, as evidenced by the increased levels of immune markers like white blood cells and interleukins, along with the influence of zinc. Future research is required to determine how these markers relate to the development and incidence of prostate cancer.

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An overview on role of nutrition on COVID-19 immunity: Accumulative review from available studies

Cited by 3 publications

References 213 publications

Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach

Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach

Malnutrition and the Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Multi-Institutional Population-Based Propensity Score-Matched Analysis

The role of inflammatory processes and zinc levels in prostatic enlargement among Iraqi samples

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