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Biomarkers of low immunity exist in individuals without genetic immune diseases
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SUPPORTED
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Scientific literature documents that individuals without primary genetic immune disorders can present with altered immunological biomarkers and poor cell-mediated immunity due to environmental, social, or polygenic factors.

Evidence for · 5
2015 · cited by 14
Mycobacterium tuberculosis (MTB) is a major microbial pathogen that threatens global health. The WHO has estimated about 9 million new tuberculosis (TB) cases and around 1.5 million deaths due to TB in the year 2013 (World Health Organization, 2014). In MTB-infected individuals, bacteria may exist in a dormant state for lengthy periods without causing disease symptoms, or may finally start multiplying and evading immune control, resulting in active TB in 5–10% of infected cases. At present, factors that promote progression from latent tuberculosis infection (LTBI) to disease are not totally understood. Therefore, management of LTBI plays a significant role for TB disease control given that quiescent bacilli are a big reservoir of potential TB cases. Tuberculin skin test (TST) has been the classical method used for LTBI diagnosis in spite of its compromised specificity due to cross-reaction with Mycobacterium bovis bacillus Calmette–Guerin (BCG) vaccine strain and non-tuberculous mycobacteria. Furthermore, it has low sensitivity in immune compromised patients, who are in particular those that mainly need this test because they have a high risk of developing active TB if they are infected. Interferon (IFN)-γ release assays (IGRAs) appeared more than a decade ago as an alternative method to TST for diagnosing LTBI. They detect the IFN-γ released by sensitized T cells after stimulation with specific MTB antigens encoded in the region of difference (RD) 1 and 11 (ESAT-6, CFP-10 and TB7.7) (Andersen et al., 2000). Nowadays, IGRAs implementation has improved LTBI diagnosis because of their higher specificity with respect to TST and good correlation with MTB exposure degree; however, they do not discriminate between LTBI and active TB (Pai et al., 2014). As a consequence, there is a need for studying new biomarkers to explore the biology and the immune response for distinguishing latency from disease. At present, some new MTB phase-dependent antigens have been studied in LTBI individuals and active TB patients showing promising results. These studies explore the response of T cells producing IFN-γ because they are the major players in the protection against TB. However, variable results regarding these antigens have been obtained since now due to disparities in methodology and population heterogeneity (Serra-Vidal et al., 2014, Goletti et al., 2010, Singh et al., 2014). In EBioMedicine, Delfina Pena and colleagues (Pena et al., 2015) have investigated the efficacy of several DosR regulon-encoded latency antigens as potential markers for LTBI. The antigens included and studied in this work were Rv2624c, Rv2626c, and Rv2628; together with ESAT-6 and CFP-10. Interestingly, Rv2626c was found to produce significant IFN-γ levels in BCG LTBI individuals with respect to active TB patients or healthy controls. In a first approach, the response to MTB antigens was investigated stimulating peripheral blood mononuclear cells (PBMCs) from BCG LTBI individuals (QFT-GIT positive) and healthy controls (QFT-GIT negative), finding that IFN-γ response was significantly higher in LTBI individuals with respect to healthy controls upon Rv2626c stimulation. Interestingly, these findings were also confirmed by flow cytometry. Then, in a second approach, the IFN-γ response to Rv2626c was also analyzed in a third group of active TB patients stimulating PBMCs and whole blood with this specific antigen. In contrast to the results obtained with RD1 antigens (ESAT-6 and CFP-10), stimulation with this latency antigen allowed to discriminate between active and latent infection since patients with active TB did not secrete IFN-γ against Rv2626c. Finally, these results were also reinforced by a ROC analysis. Investigators also identified several specific and immunogenic Rv2626c immunodominant peptide pools that improved LTBI diagnosis. Delfina Pena and colleagues study (Pena et al., 2015) investigates an interesting and promising field; as a consequence, thei
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More for · 4
2020 · cited by 0
Health disparities by neighborhoods in the US continue to exist. Investigation of immunological biomarkers may elucidate the link between the neighborhood environment and health through biological mechanisms. Living in low socially cohesive neighborhoods has been associated with adverse health outcomes and poor mental health. Yet how neighborhood social cohesion relates to immunological health has been sparsely explored. The objectives of this study were to determine if neighborhood social cohesion was associated with immunological biomarkers and to identify potential modifiers. This was addressed through a secondary analysis using a cohort from Detroit, Michigan to examine: 1) the association between social cohesion and four immunological biomarkers and 2) whether these associations could be modified by exposure to traumatic events and access to psychosocial resources. Neighborhood social cohesion was differentially associated with inflammation and cell-mediated immunity in adults. Individuals reporting low social cohesion had significantly poorer cell-mediated immunity compared to high social cohesion. However, inflammation was lower among those reporting less social cohesion as oppose to high social cohesion. A one-year change in immunological biomarkers was greatest among individuals living in medium social cohesion neighborhoods. Less exposure to traumatic events and higher access to psychosocial resources may also buffer the effects of neighborhood social cohesion on im
2025 · cited by 0
Abstract Background Neutrophils play a central role in the progression of COVID-19, contributing to inflammation, immunothrombosis, and organ dysfunction through mechanisms such as neutrophil extracellular trap (NET) formation and the release of metabolic mediators. Several metabolic biomarkers related to neutrophil activity have been investigated as predictors of disease severity, but findings across studies remain fragmented. Objective This systematic review aimed to synthesize current evidence on metabolic biomarkers associated with neutrophil activation in COVID-19 patients and evaluate their clinical and therapeutic implications. Methods A systematic search was conducted across seven databases (PubMed, Scopus, Web of Science, Google Scholar, AJOL, Embase, and ScienceDirect) for studies published between December 2019 and November 2024. Keywords related to COVID-19, neutrophils, and metabolic biomarkers were combined using Boolean operators. Eligible studies were observational designs assessing metabolic biomarkers linked to neutrophil activation and COVID-19 severity. Dual screening, data extraction, and quality appraisal were performed using Rayyan software and the Newcastle-Ottawa Scale. A narrative synthesis was conducted due to study heterogeneity. Results Fifteen studies were included, highlighting consistent associations between elevated biomarkers such as myeloperoxidase (MPO), neutrophil extracellular traps (NETs), calprotectin, interleukins (IL-6, IL-8), D-dimer, neutrophil elastase, resistin (RETN), lipocalin-2 (LCN2), and neutrophil gelatinase-associated lipocalin (uNGAL) and worse clinical outcomes, including respiratory failure, organ dysfunction, and mortality. Emerging biomarkers like RETN, DEFA3, and LCN2 showed potential for improving risk stratification but require further validation. Despite promising findings, heterogeneity in study designs, assay methods, and patient populations limited comparability. Conclusion Metabolic biomarkers related to neutrophil activation hold significant promise for early risk stratification and therapeutic targeting in COVID-19. However, inconsistencies across studies, a lack of standardization, and limited data from low-resource settings underscore the need for further multicenter, longitudinal research. Implementation of biomarker-based approaches must prioritize affordability and accessibility, particularly for low- and middle-income countries.
2019 · cited by 0
BACKGROUND: Resilience is considered the capability to positively respond to adverse events. Since this capacity in considered a “continuum” process, long-term stressors and psychosocial factors are thought to be crucial for resilience development, especially in those patients with chronic inflammatory systemic diseases. However, the role of clinical, biological and socioeconomic characteristics in autoimmune rheumatic diseases (ARDs) is still unknown. OBJECTIVE To evaluate the association between resilience and socioeconomic, biological and clinical factors in four autoimmune rheumatic diseases (ARDs) namely: systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Sjögren’s syndrome (SS) and systemic sclerosis (SSc). METHODS: A cross-sectional study in 188 women with SLE (n= 70), RA (n= 51), SS (n= 32), and SSc (n= 35) was done. Resilience was evaluated by the “Brief Resilience Scale”, whereas independent factors including age, age at onset, duration of disease, socioeconomic status, excersice, severity of symptoms and polyautoimmunity (PolyA) were evaluated by surveys and chart reviews. A panel of 15 serum cytokines and 14 autoantibodies were evaluated simultaneously. Bivariate, classification and regression trees (CART), and multiple linear regressions were used to analyze data. RESULTS: CART analysis showed that patients younger than 48 years with SLE, RA, and SSc who had low socioeconomic status showed the lowest resilience scores, whereas those patients between 4
2026 · cited by 0
Pediatric immunological and allergic conditions represent a broad spectrum, ranging from highly prevalent polygenic disorders (e.g., food allergy, atopic dermatitis, asthma, and allergic rhinitis) to rarer monogenic primary atopic disorders. The management of these conditions has undergone a paradigm shift in recent years. Moving away from a "one-size-fits-all" approach, precision medicine aims to deliver the right treatment to the right patient at the right time. By integrating clinical phenotypes with molecular endotypes and using specific biomarkers and "Omics" techniques, scientists and clinicians can now employ targeted biological therapies that significantly improve patient outcomes. By identifying early therapeutic windows and specific biomarkers, pediatric specialists can implement personalized interventions that halt the atopic march and mitigate the global burden of chronic allergic diseases. By shifting the focus from symptom management to the neutralization of specific molecular pathways, it is now possible to achieve better disease control, reduce side effects associated with broad-spectrum treatments such as systemic corticosteroids, and improve the quality of life for patients with refractory allergic diseases. This review, generated during a seminar funded by the Clemens von Pirquet Foundation, aims to delineate the "rare to common" pipeline, illustrating how precision medicine tools, including multi-omics, biomarkers, and artificial intelligence methods, can connect mechanistic pathways across the immunological spectrum.
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first checked04 Aug 2026
judged → INSUFFICIENT EVIDENCE · 004 Aug 2026
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