3. GOOD HEALTH AND WELL-BEING

Association between MASP2 gene polymorphisms and susceptibility to Covid-19 in Iranian patients: a case-control study – BMC Infectious Diseases

Association between MASP2 gene polymorphisms and susceptibility to Covid-19 in Iranian patients: a case-control study – BMC Infectious Diseases
Written by ZJbTFBGJ2T

Association between MASP2 gene polymorphisms and susceptibility to Covid-19 in Iranian patients: a case-control study  BMC Infectious Diseases

 

Advancing Global Health: An Immunogenetic Perspective on Infectious Diseases in the Context of Sustainable Development Goal 3

Introduction: Aligning Research with SDG 3 – Good Health and Well-being

The global health landscape, profoundly impacted by the COVID-19 pandemic, underscores the critical importance of achieving Sustainable Development Goal 3 (SDG 3), which aims to ensure healthy lives and promote well-being for all at all ages. Research into the epidemiology, clinical characteristics, and underlying genetic risk factors of infectious diseases is fundamental to this goal. Specifically, this work addresses Target 3.3 (end epidemics of communicable diseases) and Target 3.d (strengthen capacity for early warning and management of global health risks). This report synthesizes findings on the interplay between the human immune system, genetic polymorphisms, and susceptibility to severe infectious diseases, with a focus on SARS-CoV-2.

Epidemiological and Clinical Landscape of COVID-19

Understanding the multifaceted nature of COVID-19 is a cornerstone of effective public health response, directly contributing to the management of global health risks as outlined in SDG 3. Systematic reviews and meta-analyses have been crucial in defining the epidemiology, clinical features, and outcomes of the disease.

Clinical Characteristics and Risk Factors

Initial and ongoing studies have delineated the clinical presentation of patients infected with SARS-CoV-2. This foundational knowledge is essential for developing treatment strategies that promote well-being.

  • Systematic reviews have detailed the clinical characteristics, risk factors, and outcomes associated with COVID-19.
  • Research has explored the probable zoonotic origins of the virus, a key aspect of preventing future pandemics and ensuring global health security (SDG 3.d).
  • Investigations into asymptomatic individuals have highlighted their role in transmission, informing public health measures aimed at curbing the spread of communicable diseases (SDG 3.3).

Hematological and Biochemical Markers in Disease Prognosis

The identification of reliable prognostic indicators supports healthcare systems in managing patient care, a vital component of universal health coverage (Target 3.8). Several studies have focused on the predictive value of specific biological markers.

  1. Platelet Parameters: Studies have investigated the association of human platelet antigen polymorphisms and vitamin D deficiency with platelet counts in COVID-19 patients, linking hematological health to disease severity.
  2. Inflammatory Markers: Serum levels of interleukin-6, ferritin, C-reactive protein, and D-dimer have been correlated with disease severity, offering tools for patient stratification and resource allocation.
  3. Predictive Models: The role of various hematological parameters in predicting mortality in hospitalized patients has been established, enhancing clinical decision-making and contributing to the reduction of premature mortality (Target 3.4).

The Role of the Innate Immune System: The Lectin Pathway

A robust immune response is central to combating infectious diseases. Research into the innate immune system, particularly the complement system, provides insights that can lead to novel therapeutic interventions, directly supporting the goal of ending epidemics (SDG 3.3).

Complement Activation in Infectious Diseases

The complement system is a critical component of innate immunity. The lectin pathway, initiated by mannose-binding lectin (MBL) and associated serine proteases (MASPs), is pivotal in the defense against pathogens.

  • The lectin pathway is activated by SARS-CoV-2 proteins, leading to complement-mediated inflammation.
  • Overactivation of the complement system, particularly through MASP-2, has been linked to severe inflammation and adverse outcomes in COVID-19, including respiratory failure and microvascular injury.
  • The interaction between the complement and coagulation cascades has been identified as a key driver of pathology in severe COVID-19, highlighting a target for therapeutic intervention to improve global health outcomes.

Genetic Polymorphisms and Susceptibility to Disease

Understanding how genetic variations influence individual susceptibility to infectious diseases is crucial for developing personalized medicine and targeted public health strategies, thereby advancing the goal of universal health coverage and well-being for all (SDG 3).

MASP2 Gene Polymorphisms and Health Outcomes

Single nucleotide polymorphisms (SNPs) in the MASP2 gene can alter protein function and have been associated with susceptibility to a range of diseases, demonstrating the importance of genetic research in the fight against both communicable and non-communicable diseases.

  1. Infectious Diseases: MASP2 polymorphisms have been linked to susceptibility to tuberculosis, rheumatic fever, hepatitis C, HTLV-1, and HIV infection.
  2. COVID-19: While some studies on the earlier SARS-CoV found no association, the role of MASP2 variants in COVID-19 susceptibility remains an area of intense investigation, given the protein’s role in complement activation by the virus.
  3. Autoimmune Conditions: Associations have also been found with conditions like systemic lupus erythematosus, indicating the broad impact of this gene on human health.

MBL2 Gene Variants and COVID-19 Severity

Polymorphisms in the MBL2 gene, which encodes the MBL protein, are known to affect MBL levels and function. Recent studies have directly linked these variants to COVID-19 outcomes, providing a clear example of how genetic insights can help manage a global pandemic.

  • Multiple studies have found an association between MBL2 gene polymorphisms and the clinical severity of COVID-19 in both adult and pediatric populations.
  • Specific MBL2 genotypes have been related to plasma levels of inflammatory cytokines like IL-6 and TNF-α in severe COVID-19, connecting genetic predisposition to the hyperinflammatory response.
  • This body of research suggests that MBL2 genotyping could help identify individuals at higher risk of severe disease, contributing to risk stratification and the development of targeted therapies in line with SDG 3.

Conclusion: Advancing SDG 3 Through Integrated Health Research

The collective body of research demonstrates a clear pathway from fundamental science to achieving global health targets. By elucidating the clinical, immunological, and genetic factors that determine outcomes in infectious diseases like COVID-19, the scientific community provides the essential knowledge needed to strengthen health systems, manage global health risks, and ultimately advance Sustainable Development Goal 3. Continued investment in this area is paramount to building a healthier, more resilient future for all.

1. Which SDGs are addressed or connected to the issues highlighted in the article?

SDG 3: Good Health and Well-being

  • The provided article references are overwhelmingly focused on health-related topics, specifically infectious diseases. The central theme is the COVID-19 pandemic, with numerous references (e.g., Ref 1, 2, 5, 6, 7, 9, 21, 31, 33, 36, 37) investigating its epidemiology, clinical characteristics, risk factors, and outcomes.
  • Beyond COVID-19, the references also discuss a range of other communicable diseases, including tuberculosis (Ref 16), rheumatic fever (Ref 17), sepsis (Ref 18), hepatitis C (Ref 25, 41), HTLV-1 (Ref 26, 44), Chagas disease (Ref 43), and HIV (Ref 45). This broad focus on combating infectious diseases directly aligns with the core mission of SDG 3.

2. What specific targets under those SDGs can be identified based on the article’s content?

Target 3.3: End the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases.

  • This target is directly addressed through the article’s extensive focus on understanding and combating various communicable diseases. The research cited on COVID-19 and SARS (Ref 1, 4, 29, 30) falls under the category of “other communicable diseases.”
  • Specific diseases mentioned in the target are also covered in the references, such as tuberculosis (Ref 16), hepatitis (Ref 25, 41), and HIV/AIDS (Ref 45). The research into genetic susceptibility and immune response for these diseases contributes to the global effort to end their epidemics.

Target 3.d: Strengthen the capacity of all countries, in particular developing countries, for early warning, risk reduction and management of national and global health risks.

  • The COVID-19 pandemic represents a quintessential global health risk. The body of research presented in the references contributes directly to strengthening the capacity to manage such risks.
  • Studies on the “Epidemiology of COVID-19” (Ref 1), “predicting the death of hospitalized patients” (Ref 7), and identifying risk factors and adverse outcomes (Ref 1, 31) are fundamental to risk reduction and management strategies. Research into genetic polymorphisms (e.g., MBL and MASP-2 in Ref 16, 33, 34, 40) helps in identifying vulnerable populations, which is a key aspect of early warning and targeted risk management.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

Implied Indicators for Target 3.3

  • While the reference titles do not state numerical data, they imply the measurement of key epidemiological metrics used in official SDG indicators. The research on the “epidemiology,” “clinical characteristics,” “risk factors,” and “outcomes” of diseases like COVID-19 (Ref 1), tuberculosis (Ref 16), and hepatitis C (Ref 25) provides the foundational data for tracking incidence, prevalence, and mortality rates.
  • For example, Reference 7, which discusses “predicting the death of hospitalized patients with COVID-19,” directly relates to measuring and understanding the mortality rate associated with a communicable disease, a core component of tracking progress against Target 3.3.

Implied Indicators for Target 3.d

  • The official indicator for this target is Indicator 3.d.1: International Health Regulations (IHR) capacity and health emergency preparedness. The scientific research presented in the references is a crucial component of this capacity.
  • The ability to conduct advanced research on viral pathogens (Ref 3, 4, 22, 23), understand the human immune response (Ref 11, 12, 22, 37, 38), and identify genetic risk factors (Ref 16, 17, 33, 34, 41) are all measures of a country’s scientific and technical capacity to manage health emergencies. The publication of such studies enhances global knowledge and preparedness, thereby contributing to the progress of this indicator.

4. Create a table with three columns titled ‘SDGs, Targets and Indicators” to present the findings from analyzing the article.

SDGs Targets Indicators (Mentioned or Implied)
SDG 3: Good Health and Well-being 3.3: End epidemics and combat communicable diseases.
  • Incidence, prevalence, and mortality rates of communicable diseases: Implied by research into the epidemiology, outcomes, and prediction of death for various infectious diseases including COVID-19 (Ref 1, 7), tuberculosis (Ref 16), hepatitis C (Ref 25, 41), and HIV (Ref 45).
SDG 3: Good Health and Well-being 3.d: Strengthen capacity for early warning, risk reduction, and management of health risks.
  • Indicator 3.d.1 (International Health Regulations capacity and health emergency preparedness): Implied by the entire body of scientific research presented. The studies on epidemiology (Ref 1), genetic risk factors (Ref 16, 33, 34), and immune response (Ref 22, 37, 38) represent a fundamental component of a nation’s capacity to understand and manage global health risks like the COVID-19 pandemic.

Source: bmcinfectdis.biomedcentral.com

 

About the author

ZJbTFBGJ2T

Leave a Comment