Changes in serum level of trace elements in pulmonary tuberculosis patients during anti-tuberculosis treatment

Copper homeostasis dysregulation in respiratory diseases: a review of current knowledge

Cu is an essential micronutrient for various physiological processes in almost all human cell types. Given the critical role of Cu in a wide range of cellular processes, the local concentrations of Cu and the cellular distribution of Cu transporter proteins in the lung are essential for maintaining a steady-state internal environment. Dysfunctional Cu metabolism or regulatory pathways can lead to an imbalance in Cu homeostasis in the lungs, affecting both acute and chronic pathological processes. Recent studies have identified a new form of Cu-dependent cell death called cuproptosis, which has generated renewed interest in the role of Cu homeostasis in diseases. Cuproptosis differs from other known cell death pathways. This occurs through the direct binding of Cu ions to lipoylated components of the tricarboxylic acid cycle during mitochondrial respiration, leading to the aggregation of lipoylated proteins and the subsequent downregulation of Fe-S cluster proteins, which causes toxic stress to the proteins and ultimately leads to cell death. Here, we discuss the impact of dysregulated Cu homeostasis on the pathogenesis of various respiratory diseases, including asthma, chronic obstructive pulmonary disease, idiopathic interstitial fibrosis, and lung cancer. We also discuss the therapeutic potential of targeting Cu. This study highlights the intricate interplay between copper, cellular processes, and respiratory health. Copper, while essential, must be carefully regulated to maintain the delicate balance between necessity and toxicity in living organisms. This review highlights the need to further investigate the precise mechanisms of copper interactions with infections and immune inflammation in the context of respiratory diseases and explore the potential of therapeutic strategies for copper, cuproptosis, and other related effects.

Poor diet quality evaluated with the China Healthy Diet Index in Chinese tuberculosis patients

OBJECTIVE

The purpose of this study was to compare and evaluate the diet quality of tuberculosis patients and healthy adults by using the China Healthy Diet Index (CHDI) and to provide guidance for the diet of tuberculosis patients in the future.

METHODS

A case-control study of 1241 patients and 1241 healthy individuals matchedfor sex and age. The CHDI was used to score the overall diet quality of patients in the casegroup and the control group.

RESULTS

The CHDI score of tuberculosis patients was 61.61 and that of healthy controls was 63.97. After adjustment for confounders, participants with >80 on CHDI were 73.5% less likely to develop tuberculosis than participants with <51 (OR: 0.265, 95% CI: 0.086, 0.813, p < 0.05). In the original model, the CHDI scores in the highest range were inversely associated with tuberculosis risk compared with the lowest range (OR: 0.687, 95% CI: 0.420,1.122, p < 0.001). After adjusting for confounders, the CHDI score was significantly associated with a reduced risk of tuberculosis (OR: 0.265, 95% CI: 0.086, 0.813, p < 0.001). After adjusting for confounders, a high-quality diet was positively correlated with anti-tuberculosis treatment outcomes (OR:0.957, 95% CI: 0.918,0.998, p = 0.039).

CONCLUSION

Compared with healthy adults, tuberculosis patients have poor diet quality with unreasonable diet structure. The insufficient intake of whole grains, vegetables, beans, aquatic products, meat and eggs and the excessive intake of pure energy food and solid fat suggests that the dietary structure of tuberculosis patients was unreasonable. This study provides an idea of the diet structure of tuberculosis patients.

Comparison of trace element (selenium, iron), electrolyte (calcium, sodium), and physical activity levels in COVID-19 patients before and after the treatment

OBJECTIVE

Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), a worldwide health problem, is the cause of 2019 coronavirus disease. This study aimed to compare the trace element (selenium and iron), electrolyte (calcium and sodium), and physical activity levels of COVID-19 patients before and after COVID-19 treatment.

METHOD

This prospective study was conducted in patients diagnosed with COVID-19 (n = 15). Trace element (selenium and iron), electrolyte (calcium and sodium), and physical activity levels of the patients were compared before and after the treatment.

RESULT

Most of patients had selenium deficiency (86.7 %), iron deficiency (73.3 %), calcium deficiency (66.7 %) and sodium deficiency (46.7 %) before COVID-19 treatment. The most important improvements were seen in iron deficiency (from 73.3 % to 26.7 %) and sodium deficiency (from 46.7 % to 13.3 %) after the treatment. Selenium, iron, calcium, and sodium levels of the patients were significantly higher after the treatment (p < 0.05). The patients had low physical activity before and after COVID-19 treatment. In addition, no statistically significant difference was found in the comparison of physical activity levels (p > 0.05).

CONCLUSION

This study indicated that selenium, iron, calcium, and sodium levels and deficiencies might improve after treating patients with COVID-19. However, the results of this study showed that the physical activity levels of COVID-19 patients might remain stable and low throughout the treatment process.

Reference intervals for trace elements in the general Danish population and their dependence on serum proteins

Reference intervals that indicate the anticipated results of clinical chemistry parameters in a healthy background population are essential for the proper interpretation of laboratory data. In the present study, we analysed major trace elements in blood samples from 400 randomly selected members of the general Danish population. Reference intervals were established for trace elements in both whole blood and serum, and associations with major plasma transport proteins were investigated. In the case of a statistically significant correlation, a corresponding protein-adjusted reference interval was established for comparison with the unadjusted interval. While several trace elements correlated with albumin, ferritin and transferrin, the overall impact of transport proteins was minor and resulted in only marginal changes in the reference intervals. In conclusion, the updated reference intervals for trace elements can be employed without adjusting for plasma protein concentrations.

Oxidative Stress and Trace Elements in Pulmonary Tuberculosis Patients During 6 Months Anti-tuberculosis Treatment

Pulmonary tuberculosis (TB) is a well-known cause of imbalance in oxidative stress (OS) status and trace element levels. However, little information is available for targeting the correlation between OS and trace elements in pulmonary TB patients. The aim of our study was to analyze the OS status and its correlation with trace elements in patients initially and during 6 months anti-TB treatment. Eighty-six newly diagnosed pulmonary TB patients were consecutively recruited, and 112 age- and sex-matched healthy controls participated in the study. Serum markers of OS and trace elements levels were tested and analyzed in all subjects during 6 months anti-TB treatment. Compared with healthy controls, significantly increased level of malondialdehyde (MDA), decreased glutathione (GSH) level, superoxide dismutase (SOD), and catalase (CAT) activities were found in TB patients. The activities of SOD and CAT and GSH level recovered till normal range at treatment final. Zinc (Zn), selenium (Se), and copper (Cu) concentrations were significantly lower in TB patients in comparison with healthy controls, whereas Zn, Cu, and Se concentrations rise during 6 months anti-TB treatment. Zn was positively correlated with Cu, Se, and GSH, while MDA was negatively correlated with Zn, Se, SOD, and CAT, and SOD was positively correlated with Cu, Zn, and CAT. Our findings indicate that anti-TB treatment could reduce the status of OS and increase the levels of trace elements. The routine assessment of OS markers and element traces may guarantee improved monitoring the anti-TB treatment.

A combination of iron metabolism indexes and tuberculosis-specific antigen/phytohemagglutinin ratio for distinguishing active tuberculosis from latent tuberculosis infection

BACKGROUND

Discriminating active tuberculosis (ATB) from latent tuberculosis infection (LTBI) remains challenging. This study aimed to investigate a diagnostic model based on a combination of iron metabolism and the TB-specific antigen/phytohemagglutinin ratio (TBAg/PHA ratio) in T-SPOT.TB assay for differentiation between ATB and LTBI.

METHODS

A total of 345 participants with ATB (n=191) and LTBI (n=154) were recruited based on positive T-SPOT.TB results at Tongji hospital between January 2017 and January 2020. Iron metabolism analysis was performed simultaneously. A diagnostic model for distinguishing ATB from LTBI was established according to multivariate logistic regression.

RESULTS

The TBAg/PHA ratio showed 64.00% sensitivity and 90.10% specificity in distinguishing ATB from LTBI when a threshold of 0.22 was used. All iron metabolism biomarkers in the ATB group were significantly different from those in the LTBI group. Specifically, serum ferritin and soluble transferrin receptor in ATB were significantly higher than LTBI. On the contrary, serum iron, transferrin, total iron binding capacity, and unsaturated iron binding capacity in ATB were significantly lower than LTBI. The combination of iron metabolism indicators accurately predicted 60.00% of ATB cases and 91.09% of LTBI subjects, respectively. Moreover, the combination of iron metabolism indexes and TBAg/PHA ratio resulted in a sensitivity of 88.80% and specificity of 90.10%. Furthermore, the performance of models established in the Qiaokou cohort was confirmed in the Caidian cohort.

CONCLUSIONS

The data suggest that the combination of iron metabolism indexes and TBAg/PHA ratio could serve as a biomarker to distinguish ATB from LTBI in T-SPOT-positive individuals.

Micronutrient levels of tuberculosis patients during the intensive phase, a prospective cohort study

INTRODUCTION

The objectives of this study were to estimate the micronutrient deficiency levels of tuberculosis patients at the start and end of the intensive phase, and to identify the predictors of micronutrient deficiencies in tuberculosis patients.

METHODS

A prospective cohort study design was implemented. The sample size was calculated using Epi-info software. Systematic sampling technique was used. Descriptive statistics were used to estimate the micronutrient levels. The general linear model was used to predict the determinants of micronutrient level.

RESULTS

At the start of DOTS (directly observed treatment strategy), 64% of tuberculosis patients had a serum iron level less than 60 μg/dl, 41.9% of tuberculosis patients had serum zinc level less than 52 μg/dl, 29.7% of tuberculosis patients had serum selenium level less than 70 ng/dl, 40.5% of tuberculosis patients had serum vitamin d level less than 20 ng/ml, and 60.4% of tuberculosis patients had urine iodine level of less than 60.4 μg/dl. At the end of the intensive phase, 16.7% of tuberculosis patients had a serum iron level less than 60 μg/dl, <1% of tuberculosis patients had serum zinc level less than 52 μg/dl, <1% of tuberculosis patients had serum selenium level less than 70 ng/dl, 20.4% of tuberculosis patients had serum vitamin d level less than 20 ng/ml, and 53% of tuberculosis patients had urine iodine level of less than 60.4 μg/dl. Serum iron level was affected by HIV infection, hookworm infection, and site of tuberculosis infection: serum vitamin d level was affected by HIV infection: and alcohol dependency affected the serum zinc level of tuberculosis patients during the course of tuberculosis treatments.

CONCLUSION

Antituberculosis drugs were effective in normalizing the serum zinc and selenium level, but the serum level of iron, vitamin d and iodine were not normalized by the anti-tuberculosis drugs.