Noise exposure and risk of myocardial infarction incidence and mortality: a dose-response meta-analysis

Insights into the relationship between the acetylation of Dendrobium officinale polysaccharides and the ability to promote sIgA secretion

The acetyl group is a significant reactive component of Dendrobium officinale polysaccharide (DOP). In this study, we prepared DOPs with different degrees of acetyl substitution and investigated how the acetyl group, a naturally occurring characteristic of DOP, influences the immunomodulatory activity and the production of secretory IgA (sIgA) in the small intestine. Physical property measurements revealed significant changes in surface morphology and solubility of DOP caused by the addition or removal of acetyl groups. In vivo studies have demonstrated that DOP can mitigate Cyclophosphamide-induced immunosuppression by enhancing the immune organ index, promoting immunoglobulin secretion, and increasing the population of immune cells. Additionally, DOP can enhance sIgA production through multiple pathways, including enhanced IgA+ B cell class switch recombination, gut homing of IgA+ plasma cells, and upregulation of factors involved in sIgA composition and secretion. Correlation analysis revealed strong, piecewise-specific correlations between DOP acetylation and sIgA production at varying intervals of acetyl substitution. Based on this, we propose a theoretical framework in which the acetylation of DOP and the secretion of small intestinal sIgA demonstrate a "piecewise correlation". This framework illustrates the influence of DOP acetylation on immunomodulatory activity and provides a theoretical basis for enhancing the added value of Dendrobium officinale resources.

An updated job-exposure matrix for occupational noise: development and validation

OBJECTIVES

The aim of this study was to create a quantitative job-exposure matrix (JEM) for noise including a large set of measurements for the Swedish workforce, a detailed exposure-level assessment, spanning over an extensive time period from 1970 to 2014.

METHODS

The JEM was developed by 2 teams, each with an experienced occupational hygienist and an occupational safety engineer. Each pair assessed the exposure using measurements performed and reported by occupational hygienists, occupational safety engineers, or similar, from 1970 to 2014. The measurements included either the original LAeq(8h) measurements or an LAeq(8h) levels calculated from partial measurements of the working day, provided that the measurement targeted a regular task usually performed during a full workday. The collection of measurement reports was done in 2008 and 2012 by contacting clinics working in the area of occupational health or occupational safety engineers and their submitted reports were added to our own material. Noise exposure assessments were inserted at the appropriate time period for the relevant job family. The final matrix was developed in a consensus procedure and the validity was investigated by comparison of the 2 team's individual results.

RESULTS

The noise JEM contains 321 job families with information regarding occupational noise from 1970 to 2014. The time-period label has a 5-yr scale starting in 1970. The estimated average 8 h (TWA) noise level in decibels [dB(A)] for every job family and 5-yr period was coded as 1: <70 dB(A), 2: 70 to 74 dB(A), 3: 75 to 79 dB(A), 4: 80 to 84 dB(A) or 5: 85(+) dB(A). The validation showed no systematic difference in relative position and very high agreement in the ordering of paired ordinal classifications. The JEM has also successfully been applied in several epidemiological studies.

CONCLUSIONS

We present a JEM for occupational noise using Swedish data from 1970 to 2014 with a higher degree of sensitivity in assessed noise exposure compared with the previously existing version. Repeated application of the JEM, in epidemiological studies, has shown consistent results and contributed to yielding important findings.

From multi-omics approaches to personalized medicine in myocardial infarction

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.