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ObjectiveTo understand the situation and the influencing factors of life quality in diabetic patients in Shanghai， and to develop effective intervention measures.MethodsA total of 212 diabetic patients in Baoshan District， Shanghai were selected as the research objects. Diabetes specific quality of life scale （DSQL） was used to investigate the basic situation and quality of life of patients. Combined with biochemical detection indexes and questionnaire survey， data were analyzed by variance analysis and multiple linear stepwise regression analysis. Blood glucose level was assessed according to the 1999 WHO diagnostic criteria for type 2 diabetes.ResultsThe overall quality of life score in the patients was 4.31±7.82， which was higher than the domestic norm. The best quality of life was in the dimension of physiological function with the score of 1.84±6.00， which was lower than the domestic norm. The next was the dimension of social relationship， and the worst was the dimension of treatment. The single factor analysis and multivariate analysis identified the following influence factors of quality of life in the patients： family history， educational level， exercise habit， blood glucose control and diet control. There was a negative correlation with educational level and blood glucose control， and a positive correlation with diet control.ConclusionThe quality of life in the middle-aged diabetic patients was affected by the education level， blood glucose control and diet control. We suggest to strengthen the community management， health education， and improve the living habits.

Triglycerides, phospholipids, and cholesterol are prominent lipid types that serve diverse biological functions. These lipids act as vital structural components of cell membranes, provide energy for the body, and serve as signaling molecules that regulate physiological and pathological processes, including regulated cell death (RCD). While the initiation signals, biochemical pathways, and effector molecules may differ, increased membrane permeabilization from plasma membranes or organelles is a shared characteristic of RCD. This process involves alterations in lipid species and functions, along with autophagic degradation. Thus, the lipid hypothesis presents a novel perspective that complements other theories elucidating the features of cell survival and cell death. In this review, we present a comprehensive summary of the latest findings on the role and potential mechanisms of diverse lipids in influencing RCD processes, encompassing apoptosis, necroptosis, pyroptosis, ferroptosis, and autophagy. ACSL: acyl-CoA synthetase long chain family; DISC: death-inducing signaling complex; DAMPs: danger/damage-associated molecular patterns; Dtgn: dispersed trans-Golgi network; FAR1: fatty acyl-CoA reductase 1; GPX4: glutathione peroxidase 4; LPCAT3: lysophosphatidylcholine acyltransferase 3; LPS: lipopolysaccharide; MUFAs: monounsaturated fatty acids; MOMP: mitochondrial outer membrane permeabilization; MLKL, mixed lineage kinase domain like pseudokinase; oxPAPC: oxidized 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine; OxPCs: oxidized phosphatidylcholines; PUFAs: polyunsaturated fatty acids; POR: cytochrome p450 oxidoreductase; PUFAs: polyunsaturated fatty acids; RCD: regulated cell death; RIPK1: receptor interacting serine/threonine kinase 1; SPHK1: sphingosine kinase 1; SOAT1: sterol O-acyltransferase 1; SCP2: sterol carrier protein 2; SFAs: saturated fatty acids; SLC47A1: solute carrier family 47 member 1; SCD: stearoyl-CoA desaturase; VLCFA: very long chain fatty acids [ABSTRACT FROM AUTHOR]

Aims: Methotrexate (MTX) is recognized for its potential to induce hepatotoxicity, commonly manifested by elevated alanine aminotransferase (ALT) levels. However, the quantitative relationship between the pharmacokinetics (PK) of MTX and ALT‐based hepatotoxicity remains unclear. This study aimed to develop a semimechanistic PK/pharmacodynamic (PD) model to characterize the MTX‐induced hepatotoxicity based on ALT in paediatric patients with acute lymphoid leukaemia. Methods: A retrospective study was conducted on paediatric patients who received high‐dose (3–5 g/m2) MTX treatment. MTX concentrations were assessed at 24‐h intervals until the concentration dropped below 0.1 μmol/L. ALT concentrations were measured both before and after MTX administration. A population PK model was initially developed, which was later connected to a semimechanistic hepatotoxicity model. Results: The PK model was developed using 354 MTX concentrations obtained from 51 patients, while the PD model was constructed using 379 ALT concentrations collected from 48 patients. The optimal PK model for MTX consisted of a 2‐compartment structure, where body surface area served as a covariate for clearance and central volume of distribution. An indirect response model coupled to a liver injury signal transduction model was developed to describe the dynamics of ALT after MTX administration. The drug effect was adequately described by a linear model, exhibiting considerable interoccasion variability for each treatment session. No significant covariates were identified to have an impact on the PD parameters. Conclusion: A semimechanistic model was developed to describe ALT‐based hepatotoxicity of MTX, and it has the potential to serve as a valuable tool for characterizing drug‐induced hepatotoxicity. [ABSTRACT FROM AUTHOR]

Fat storage-inducing transmembrane protein 2 (FITM2) plays an important role in regulating lipid storage and could be regarded as a candidate gene for intramuscular fat deposition in pigs. The aim of this study was to clone the coding domain sequence (CDS) of FITM2 gene, to compare the nucleotide acid and deduced amino acid sequences between breeds and species, to analyze the structure and characteristics of protein and to detect the expression profile of gene. The results exhibited that the CDS of FITM2 gene was 789 bp in length. The mutation of nucleotide acids led to the mutation of deduced amino acids between Banna miniature inbred pigs and other two breeds (Yorkshire × Landrace pigs and Duroc × (Landrace × Yorkshire) pigs). It was indicated that high identities of nucleotide acid and deduced amino acid sequences between Banna miniature inbred pigs and other species. The deduced amino acids were composed of loops and alpha helices in the structure. FITM2 protein may be a 30 kDa hydrophobic protein with 26 phosphorylation sites and one potential N-glycosylated site. FITM2 gene was widely expressed in various tissues, and the highest expression level was in adipose tissue. [ABSTRACT FROM AUTHOR]

Acute myeloid leukemia (AML) is a major leukemia with high mortality. Ferroptosis is an important regulator of cancers. However, the role of ferroptosis and its regulatory mechanisms in AML remain largely unknown. In this study, we reported elevated brain and muscle ARNT‐Like protein‐1 (Bmal1) expression in AML patients and cell lines, and its upregulation indicated the poor survival of patients. The correlation analysis showed that Bmal1 expression was closely correlated with cytogenetics and the French–American–British subtypes, but was not correlated with age, gender and white blood cells. RSL3 reduced Bmal1 expression in HL‐60 and NB4 cells. Malondialdehyde, total iron, Fe2+, glutathione and lipid peroxidation were examined to evaluate ferroptosis. Overexpression of Bmal1 repressed RSL3‐induced ferroptosis in AML cells. Bmal1 recruited Enhancer of zeste homolog 2 (EZH2) to the Early B cell factor 3 (EBF3) promoter and enhanced its methylation, thus suppressing EBF3 expression. Moreover, the knockdown of Bmal1 sensitized AML cells to RSL3‐induced ferroptosis, and it was counteracted by EBF3 knockdown. Furthermore, EBF3 bound to the Arachidonate 15‐pipoxygenase (ALOX15) promoter to enhance its expression, and overexpression of EBF3 enhanced RSL3‐induced ferroptosis dependent on ALOX5. We established a subcutaneous AML xenograft tumor model and reported that knockdown of Bmal1 and overexpression of EBF3 restrained AML growth by promoting ALOX15‐mediated ferroptosis in vivo. Collectively, Bmal1 inhibits RSL3‐induced ferroptosis by promoting EZH2‐mediated EBF3 methylation and suppressing the expression of EBF3 and ALOX15, thus accelerating AML. [ABSTRACT FROM AUTHOR]