Investigative algorithms for disorders affecting plasma manganese concentration: a narrative review Original paper
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Metals
Metals
Heavy metals influence microbial pathogenicity in two ways: they can be toxic to microbes by disrupting cellular functions and inducing oxidative stress, and they can be exploited by pathogens to enhance survival, resist treatment, and evade immunity. Understanding metal–microbe interactions supports better antimicrobial and public health strategies.
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Divine Aleru
Read MoreI am a biochemist with a deep curiosity for the human microbiome and how it shapes human health, and I enjoy making microbiome science more accessible through research and writing. With 2 years experience in microbiome research, I have curated microbiome studies, analyzed microbial signatures, and now focus on interventions as a Microbiome Signatures and Interventions Research Coordinator.
Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.
I am a biochemist with a deep curiosity for the human microbiome and how it shapes human health, and I enjoy making microbiome science more accessible through research and writing. With 2 years experience in microbiome research, I have curated microbiome studies, analyzed microbial signatures, and now focus on interventions as a Microbiome Signatures and Interventions Research Coordinator.
What was studied?
This study focused on the challenges of diagnosing disorders related to abnormal plasma manganese concentrations, specifically hypermanganesemia (excess manganese) and hypomanganesemia (manganese deficiency). The researchers aimed to create diagnostic algorithms to guide clinicians in identifying and evaluating abnormal manganese levels in patients. They explored the physiological, environmental, and analytical factors influencing manganese concentrations and identified the diagnostic barriers, including the lack of specific reference ranges, the potential for sample contamination, and the limitations of current diagnostic methods. The study also reviewed various diagnostic strategies and suggested ways to improve the accuracy of manganese assessments in clinical practice.
Who was studied?
The study reviewed data from human subjects, including clinical case studies and population-based studies, to understand the broader implications of manganese imbalances. It emphasized how conditions like manganese toxicity (manganism), associated with neurological damage resembling Parkinson’s disease, and manganese deficiency, which can lead to issues like impaired glucose tolerance, were diagnosed. It also involved reviewing cases of occupational exposure, liver diseases, and genetic disorders that affect manganese metabolism.
What were the most important findings?
The study highlighted several key factors that complicate the diagnosis of manganese disorders. First, they found that there is significant variability in manganese concentrations across different laboratories due to differences in measurement methods and sample handling procedures. For example, blood samples can be contaminated by stainless steel needles, causing falsely elevated manganese levels. Additionally, the study emphasized the lack of harmonized reference ranges for manganese in blood, serum, and plasma, which further complicates clinical interpretation. One of the major findings was that manganese deficiency, though rare, could be linked to genetic mutations in the SLC39A8 transporter gene, leading to conditions such as congenital disorders of glycosylation. In contrast, manganese toxicity (hypermanganesemia) was often associated with conditions like liver disease, parenteral nutrition, and excessive environmental exposure, such as in industrial or occupational settings. The study also discussed how various physiological states, such as pregnancy, could affect manganese levels, which are usually higher in pregnant women and their newborns.
What are the greatest implications of this study?
The greatest implications of this study are its contributions to improving the clinical recognition and management of manganese-related disorders. By providing a structured diagnostic framework, the study aids clinicians in accurately interpreting abnormal manganese levels in patients. It stresses the importance of proper sample handling, the need for consistent and widely applicable reference ranges, and the integration of genetic testing to identify underlying causes of manganese imbalance. Furthermore, the study suggests that clinicians should consider manganese levels in the broader context of conditions like liver disease, neurological disorders, and environmental exposure, which can all influence manganese homeostasis. This research could inform public health strategies, especially in regions with high industrial manganese exposure, and improve clinical protocols for diagnosing and managing both manganese toxicity and deficiency.
Manganese plays a pivotal role in microbial pathogenesis. As a vital cofactor for enzymes involved in antioxidant defense and metabolism, manganese is essential for pathogens, enabling them to survive within the host. However, when not properly managed, manganese can become toxic to both the host and the pathogen. The host’s immune system, through mechanisms like the secretion of calprotectin, tries to limit microbial access to manganese, creating an ongoing battle between host defenses and microbial survival .