More than 90% of body lead is stored in bone. The technique of K-X-Ray fluorescence developed in the 1990s has enabled the quantitative measurement of decades of cumulative lead in bone, whereas blood lead levels reflect only recent exposure to lead. Bone lead is mobilized into the blood like bone calcium, as in osteoporosis, and exposes the patient to increased lead load. Many studies have assessed the toxic effect of chronic exposure from childhood to old age in present or former workers in industrial lead, as well as in non-occupational citizens in whom social and environmental circumstances might have induced higher exposure levels. This review points to the effects of elevated levels of bone lead and the associated cognitive decline among the elderly, with lead toxicity being one of the possible causes of degenerative dementia. There is evidence of an association between increased bone lead levels and renal disease, degenerative diseases like cataract, and suggestive but not causal association with blood pressure and hypertension. Community surveys show increased mortality associated with exposure to lead. Removal of sources of lead exposure, for example the use of non-leaded petrol, has reduced lead levels in the population, and there are currently strong recommendations to further lower the present allowed blood lead level to minimize chronic cumulative lead toxicity.
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Lymphology
January 2024
Vascular Medicine Unit, Cholet Hospital, Cholet, France.
Access to trained lymphedema care providers remains limited making patient-driven management solutions essential. One such option, sequential intermittent pneumatic compression (IPC), has gained traction as a supportive tool for lymphedema management. While newer IPC devices and innovative applications are being introduced to the market, questions regarding the safety and efficacy of this technology persist.
View Article and Find Full Text PDFChem Soc Rev
January 2025
Institute for Quantum Life Science, National Institutes for Quantum Science and Technology (QST), Anagawa 4-9-1, Inage-ku, Chiba 263-8555, Japan.
The emerging field of quantum life science combines principles from quantum physics and biology to study fundamental life processes at the molecular level. Quantum mechanics, which describes the properties of small particles, can help explain how quantum phenomena such as tunnelling, superposition, and entanglement may play a role in biological systems. However, capturing these effects in living systems is a formidable challenge, as it involves dealing with dissipation and decoherence caused by the surrounding environment.
View Article and Find Full Text PDFFuture Cardiol
January 2025
Echocardiography research Center, Rajaie cardiovascular medical and research Center, Iran University of Medical Science, Tehran, Iran.
Introduction: Decreased left atrial appendage emptying velocity (LAAV) is a marker for thrombus formation. This study evaluates the association between LAAV and inflammatory indices in non-valvular atrial fibrillation (AF) patients.
Methods: The study population was 1428 patients with AF, 875 of whom enrolled.
FASEB J
January 2025
State Key Laboratory of Swine and Poultry Breeding Industry, Sichuan Agricultural University, Chengdu, China.
Triglyceride (TG) metabolism is a complex and highly coordinated biological process regulated by a series of genes, and its dysregulation can lead to the occurrence of disorders in lipid metabolism. However, the transcriptional regulatory mechanisms of crucial genes in TG metabolism mediated by enhancer-promoter interactions remain elusive. Here, we identified candidate enhancers regulating the Agpat2, Dgat1, Dgat2, Pnpla2, and Lipe genes in 3T3-L1 adipocytes by integrating epigenomic data (H3K27ac, H3K4me1, and DHS-seq) with chromatin three-dimensional interaction data.
View Article and Find Full Text PDFInterdiscip Sci
January 2025
School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. However, drug-drug interactions (DDIs) can sometimes lead to adverse reactions, potentially endangering lives. Therefore, developing efficient and accurate DDI prediction methods is crucial for elucidating drug mechanisms and preventing side effects.
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