Association between systemic immune-inflammation index and cardiovascular-kidney-metabolic syndrome.

This study aims to explore the relationship between the Systemic Immune-Inflammation Index (SII) and Cardiovascular-Kidney-Metabolic (CKM) Syndrome and its components. Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 were analyzed. CKM Syndrome is defined as the coexistence of Cardiometabolic Syndrome (CMS) and Chronic Kidney Disease (CKD). The SII is calculated using the formula: SII = (Platelet count × Neutrophil count)/Lymphocyte count. Weighted logistic regression models were used to examine the associations between SII and CKM, as well as its specific components. Restricted cubic splines explored non-linear relationships, and piecewise linear regression models assessed threshold effects. A consistent positive correlation was observed between elevated SII levels and the likelihood of CKM and its related diseases. In the fully adjusted Model 3, an increase of 1000 units in SII was associated with a 1.48-fold increase in the odds of CKM (95% CI 1.20-1.81, p < 0.001). Quartile analysis revealed a dose-response relationship, with the highest quartile of SII (Q4) showing the strongest association with CKM and its components. Nonlinear analyses revealed inflection points for waist circumference, triglycerides, low HDL-C, and cardiometabolic syndrome at specific SII levels, indicating a change in the direction or strength of associations beyond these points. Conversely, a linear relationship was observed between SII and chronic kidney disease. The SII is positively correlated with the risk of CKM Syndrome and its individual components, with evidence of non-linear relationships and threshold effects for some components.

Effects of hydrodynamics on the distribution of trace persistent organic pollutants and macrobenthic communities in Bohai Bay.

In recent years, the rapid economic development along Bohai Bay, has brought out continuous increasing of the pollution loads in the Bohai Sea, especially by the large coastal reclamation project, Tianjin Binhai New Area. In the period of 2007-2009, we collected the sediments of the main rivers, estuaries, intertidal zone, and near-shore area of Bohai Bay, and Macrobenthos associated with the marine sediments to assess the influence of hydrodynamics in the coastal environment on the pattern of trace contaminants and the macrobenthic community. Based on data derived from these samples, the levels of polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs) in sediments followed the order PAHs>OCPs>PCBs>PBDEs. The higher concentrations of PCBs, OCPs, PAHs and PBDEs were found in the estuarine and near-shore environment of the Dagu Drainage River. The spatial distribution of OCPs was different to that of PCBs due to the direction of the velocity field of Bohai Bay in its old and new topography, and the higher water-solubility of OCPs than that of PCBs. The results of the Pearson correlation and the PCA indicate that the medium diameter (MD) of sediments was the predominant factor influencing the distribution of PCBs and OCPs, most sampling sites were characterized mainly by TOC of sediments and biomass of macrobenthos. The results indicate that the distribution of trace contaminants and macrobenthic community in Bohai Bay are mainly affected by the hydrodynamic conditions.

[Distribution characteristics of the typical persistent organic pollutants (POPs) in Suaeda heteroptera].

The Suaeda heteroptera are widely distributed in intertidal zone, in order to investigate its function in preventing the transfer of the contaminants from land to sea, the levels and the distribution characteristics of organochlorine pesticides (OCPs), polycyclic aromatic hydrocarbons (PAHs), decabromodiphenyl ether (BDE209), and polychlorinated biphenyls (PCBs) in Suaeda heteroptera and their associated soils were studied with GC-MS. The results indicated that the levels of these pollutants in Suaeda heteroptera were in the following order: sigma PAHs > OCPs > BDE209 > sigma PCBs (96-1 506 ng/g, 14-577 ng/g, 1.8-33 ng/g, and 399-2 161 pg/g, respectively). The levels of OCPs, PAHs, and PCBs in sediments from Yingkou intertidal zone were higher than that from Donying intertidal zone, however, these pollutants in Suaeda heteroptera leaves were approximately equal, respectively. The distribution of OCPs in Suaeda heteroptera appeared in the following order: stem > root > leaf, and the distribution of PAHs and PCBs in Suaeda heteroptera from Dongying intertidal zone were different from Yingkou intertidal zone, due to the difference of the organic matter content in sediments. The level of BDE209 in sediment from Dongying intertidal zone (19.7 ng/g) was higher than that from Yingkou intertidal zone (2.36 ng/g), and appeared different distribution in Suaeda heteroptera from the two intertidal zones.