FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency.

Multi-organ segmentation is a fundamental task and existing approaches usually rely on large-scale fully-labeled images for training. However, data privacy and incomplete/partial labels make those approaches struggle in practice. Federated learning is an emerging tool to address data privacy but federated learning with partial labels is under-explored. In this work, we explore generating full supervision by building and aggregating inter-organ dependency based on partial labels and propose a single-encoder-multi-decoder framework named FedIOD. To simulate the annotation process where each organ is labeled by referring to other closely-related organs, a transformer module is introduced and the learned self-attention matrices modeling pairwise inter-organ dependency are used to build pseudo full labels. By using those pseudo-full labels for regularization in each client, the shared encoder is trained to extract rich and complete organ-related features rather than being biased toward certain organs. Then, each decoder in FedIOD projects the shared organ-related features into a specific space trained by the corresponding partial labels. Experimental results based on five widely-used datasets, including LiTS, KiTS, MSD, BCTV, and ACDC, demonstrate the effectiveness of FedIOD, outperforming the state-of-the-art approaches under in-federation evaluation and achieving the second-best performance under out-of-federation evaluation for multi-organ segmentation from partial labels. The source code is publicly available at https://github.com/vagabond-healer/FedIOD.

Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification.

In recent years, computer vision has witnessed remarkable advancements in image classification, specifically in the domains of fully convolutional neural networks (FCNs) and self-attention mechanisms. Nevertheless, both approaches exhibit certain limitations. FCNs tend to prioritize local information, potentially overlooking crucial global contexts, whereas self-attention mechanisms are computationally intensive despite their adaptability. In order to surmount these challenges, this paper proposes cross-and-diagonal networks (CDNet), innovative network architecture that adeptly captures global information in images while preserving local details in a more computationally efficient manner. CDNet achieves this by establishing long-range relationships between pixels within an image, enabling the indirect acquisition of contextual information. This inventive indirect self-attention mechanism significantly enhances the network's capacity. In CDNet, a new attention mechanism named "cross and diagonal attention" is proposed. This mechanism adopts an indirect approach by integrating two distinct components, cross attention and diagonal attention. By computing attention in different directions, specifically vertical and diagonal, CDNet effectively establishes remote dependencies among pixels, resulting in improved performance in image classification tasks. Experimental results highlight several advantages of CDNet. Firstly, it introduces an indirect self-attention mechanism that can be effortlessly integrated as a module into any convolutional neural network (CNN). Additionally, the computational cost of the self-attention mechanism has been effectively reduced, resulting in improved overall computational efficiency. Lastly, CDNet attains state-of-the-art performance on three benchmark datasets for similar types of image classification networks. In essence, CDNet addresses the constraints of conventional approaches and provides an efficient and effective solution for capturing global context in image classification tasks.

Integrating trans-omics, cellular experiments and clinical validation to identify ILF2 as a diagnostic serum biomarker and therapeutic target in gastric cancer.

BACKGROUND: Gastric cancer (GC) lacks serum biomarkers with clinical diagnostic value. Multi-omics analysis is an important approach to discovering cancer biomarkers. This study aimed to identify and validate serum biomarkers for GC diagnosis by cross-analysis of proteomics and transcriptomics datasets. METHODS: A cross-omics analysis was performed to identify overlapping differentially expressed genes (DEGs) between our previous aptamer-based GC serum proteomics dataset and the GC tissue RNA-Seq dataset in The Cancer Genome Atlas (TCGA) database, followed by lasso regression and random forest analysis to select key overlapping DEGs as candidate biomarkers for GC. The mRNA levels and diagnostic performance of these candidate biomarkers were analyzed in the original and independent GC datasets to select valuable candidate biomarkers. The valuable candidate biomarkers were subjected to bioinformatics analysis to select those closely associated with the biological behaviors of GC as potential biomarkers. The clinical diagnostic value of the potential biomarkers was validated using serum samples, and their expression levels and functions in GC cells were validated using in vitro cell experiments. RESULTS: Four candidate biomarkers (ILF2, PGM2L1, CHD7, and JCHAIN) were selected. Their mRNA levels differed significantly between tumor and normal tissues and showed different diagnostic performances for GC, with areas under the receiver operating characteristic curve (AUROCs) of 0.629-0.950 in the TCGA dataset and 0.736-0.840 in the Gene Expression Omnibus (GEO) dataset. In the bioinformatics analysis, only ILF2 (interleukin enhancer-binding factor 2) gene levels were associated with immune cell infiltration, some checkpoint gene expression, chemotherapy sensitivity, and immunotherapy response. Serum levels of ILF2 were higher in GC patients than in controls, with an AUROC of 0.944 for the diagnosis of GC, and it was also detected in the supernatants of GC cells. Knockdown of ILF2 by siRNA significantly reduced the proliferation and colony formation of GC cells. Overexpression of ILF2 significantly promotes the proliferation and colony formation of gastric cancer cells. CONCLUSIONS: Trans-omics analysis of proteomics and transcriptomics is an efficient approach for discovering serum biomarkers, and ILF2 is a potential diagnostic biomarker and therapeutic target of gastric cancer.

Glucose regulation of adipose tissue browning by CBP/p300- and HDAC3-mediated reversible acetylation of CREBZF.

Glucose is required for generating heat during cold-induced nonshivering thermogenesis in adipose tissue, but the regulatory mechanism is largely unknown. CREBZF has emerged as a critical mechanism for metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD). We investigated the roles of CREBZF in the control of thermogenesis and energy metabolism. Glucose induces CREBZF in human white adipose tissue (WAT) and inguinal WAT (iWAT) in mice. Lys208 acetylation modulated by transacetylase CREB-binding protein/p300 and deacetylase HDAC3 is required for glucose-induced reduction of proteasomal degradation and augmentation of protein stability of CREBZF. Glucose induces rectal temperature and thermogenesis in white adipose of control mice, which is further potentiated in adipose-specific CREBZF knockout (CREBZF FKO) mice. During cold exposure, CREBZF FKO mice display enhanced thermogenic gene expression, browning of iWAT, and adaptive thermogenesis. CREBZF associates with PGC-1α to repress thermogenic gene expression. Expression levels of CREBZF are negatively correlated with UCP1 in human adipose tissues and increased in WAT of obese ob/ob mice, which may underscore the potential role of CREBZF in the development of compromised thermogenic capability under hyperglycemic conditions. Our results reveal an important mechanism of glucose sensing and thermogenic inactivation through reversible acetylation.

Acoustic effects of speaker sex, speech sample, and Mandarin tone on vowel production of post-stroke spastic dysarthria.

INTRODUCTION: Vowel production in dysarthria tends to be centralized, which is affected by many factors. This study examined the acoustic effects of speaker sex, tones, and speech samples (including sustained vowels, syllables, and sentences) and their interactions on vowel production in Mandarin speakers with post-stroke spastic dysarthria. METHODS: 28 patients with post-stroke spastic dysarthria (18 males, 10 females) and 21 healthy speakers (11 males and 10 females) with no significant difference in sex and age with dysarthria were recruited. They were asked to read sustained vowels /a, i, u/, 12 syllables and 12 sentences containing three vowels in four tones (ba, bá, bǎ, bà, bi, bí, bǐ, bì, pu, pú, pǔ, pù). Multiple spectral and temporal acoustic metrics were analyzed. RESULTS: Results showed that regardless of the speech samples or tones, vowel production was more centralized in dysarthria than healthy controls, manifested as the decrease in F1 range, F2 range, vowel space area (VSA), and vowel articulation index (VAI). A similar performance was observed for male speakers compared to females, and vowel duration in males was shorter than females. F1 range, F2 range, VSA, VAI, and vowel duration were significantly different across speech samples and tones, decreasing in the order of vowel-syllable-sentence and T3-T2-T1-T4, respectively. Interactions of group, speaker sex, speech sample, and tone were more sensitive in VAI and vowel duration. CONCLUSION: VAI and vowel duration were recommended as the prior metrics to the assessment of vowel production. Specific influencing factors (speaker sex, speech sample, and tone) of vowel production need to be considered by speech and language pathologists in the assessment and rehabilitation.

Identification of lymph node adulteration in minced pork by comprehensive metabolomics and lipidomics approach based on UPLC/LTQ-Orbitrap MS.

The deliberate pork adulteration with lymph nodes is a common adulteration phenomenon, and it poses a serious threat to public health and food safety. An untargeted metabolomics and lipidomics approach based on ultrahigh performance liquid chromatography coupled with linear ion trap quadrupole-Orbitrap high resolution mass spectrometry (MS) was used to distinguish lymph nodes from minced pork. The principal component analysis and orthogonal projection to latent structures discriminant analysis models were established with the good of fitness and predictivity. The results showed that there were significant differences in metabolites and lipids between lymph nodes and pork. A total of 16 significantly differentiated metabolites were identified, of which 1-palmitoylglycerophosphocholine, 12,13-dihydroxy-9-octadecenoic acid, and prostaglandin E2 (PGE2) were positively correlated with lymph node content and were identified as potential markers of lymph nodes. These three markers were combined to create a binary logistic regression model, and a combined-factor exceeding 0.75 was ultimately identified as a marker for pork adulteration with lymph nodes. The desorption electrospray ionization-MS images showed that PGE2 had a higher relative abundance in the lymph node region than in adjacent non-lymph node regions, indicating that PGE2 was a marker that contributed significantly for identifying lymph nodes adulteration into pork. Our results provide a theoretical basis for identifying lymph node adulteration, which will contribute to combating fraud in the meat industry.

Co-targeting ASK1 and THRß synergistically improves steatohepatitis and fibrosis in a MASH animal model.

PURPOSE: Metabolic dysfunction-associated steatohepatitis (MASH) is a liver disease that has gained widespread attention globally. Unfortunately, there is no approved treatment for this condition yet. However, recent research has identified Apoptosis signal-regulating kinase 1 (ASK1) and thyroid hormone receptor-ß (THR-ß) as potential targets for treating MASH. Although the individual effects of these two targets have been studied, their combinatory effect has not been well defined. Therefore, further research is needed to investigate the potential benefits of targeting both ASK1 and THR-ß for treating MASH. METHODS: We established a MASH model using the HFHFrC diet (high fat, high fructose, and cholesterol) and carbon tetrachloride (CCL4). Forty mice were evenly assigned to four groups: vehicle, GS4997 (an ASK1 inhibitor), MGL3196 (a THRß agonist), GS4997+ MGL3196 combination (combo). The drugs were administered for 8 weeks, after which the mice were sacrificed for serum biochemical tests, liver TG and TC evaluation, liver histopathological study, and gene expression validation. RESULTS: GS4997 and MGL3196, when used in combination, have been shown to have synergistic effects on various parameters. Firstly, they synergistically reduced body weight and liver body weight ratio. Secondly, this combination also synergistically lowered AST and TC. Thirdly, synergistic effects were also observed in liver TG and TC reduction. Fourthly, we further confirmed that GS4997 mildly improved liver inflammation, ballooning, and fibrosis, but exhibited incredible histopathological efficacy when combined with MGL3196. Finally, this combinatory effect can be interpreted by synergistically regulating lipid-related genes such as Dio1, Ctp1-α, and Cat, inflammation-related genes such as Il-6, Il-8, and Mcp-1, and fibrosis-related genes such as Tgf-ß, Col1α1, and Col6α3. CONCLUSION: GS4997 and MGL3196, when used in combination, have been shown to have a comprehensive effect on MASH by synergistically regulating lipid, inflammation, and fibrosis-related gene expression through co-targeting ASK1 and THRß.

[Mechanisms of changes of active components in Chinese medicinal materials during drying: a review].

Drying is an indispensable processing step for Chinese medicinal materials after harvesting. It often leads to significant changes in the active components of these materials, thus impacting their medicinal values. Understanding the mechanisms behind the changes during the drying process is of great importance for regulating the transformation of key active components. Therefore, this paper reviews the available studies and comprehensively expounds the mechanisms underlying the changes in active components during the drying process. The aim is to offer insights for the development of regulatory strategies and the improvement of drying techniques for Chinese medicinal materials.

Body size, insulin sensitivity, metabolic health and risk of cardiovascular disease in Chinese adults: Insights from the China Cardiometabolic Disease and Cancer Cohort (4C) study.

AIMS: To assess the excess risk of cardiovascular disease (CVD) associated with different criteria for metabolic health, and the interplay of body size, insulin sensitivity and metabolic health with CVD risk. MATERIALS AND METHODS: We conducted a prospective study involving 115 638 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Metabolic health was defined using three different definitions: (1) insulin sensitivity defined by homeostatic model assessment of insulin resistance index; (2) absence of metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria; and (3) simultaneous absence of metabolic abnormalities (diabetes, hypertension, dyslipidaemia). The primary endpoint was a composite of incident CVD events comprising the first occurrence of myocardial infarction, stroke, heart failure, or cardiovascular death. RESULTS: During a mean 3.61-year follow-up period, obese individuals with insulin sensitivity (multivariable-adjusted hazard ratio [HR] 1.69, 95% confidence interval [CI] 1.37-2.08), or without metabolic syndrome (HR 1.46, 95% CI 1.13-1.89) still exhibited increased CVD risks, when compared to their normal-weight counterparts. Otherwise, those with obesity but simultaneous absence of metabolic abnormalities demonstrated similar CVD risk compared to normal-weight individuals (HR 0.91, 95% CI 0.53-1.59). CVD risk increased with the number of abnormalities across body mass index categories, regardless of insulin sensitivity. CONCLUSIONS: This study emphasizes the need for refined definitions of metabolic health and advocates for meticulous screening for metabolic abnormalities to reduce cardiovascular risks, even in individuals with normal weight and insulin sensitivity.

Genome-Wide Search Links Senescence-Associated Secretory Proteins With Susceptibility for Coronary Artery Disease in Mouse and Human.

Advanced age is an independent risk factor for coronary artery disease (CAD), the leading global cause of mortality. Senescent vascular cells in the atherosclerotic plaques exhibit senescence-associated secretory phenotype (SASP). How SASP contributes to atherosclerosis and CAD, however, remains unclear. Here, we integrated RNA-array datasets of senescent human coronary arterial endothelial cells (HCAECs) and aortic smooth muscle cells (HASMCs) as well as genome-wide association data for CAD. We identified 26 genes from HCAECs and 6 genes from HASMCs related to SASP and CAD in both in-house and published datasets. Of which, Cystatin C (CST3), a CAD susceptibility gene, was found to be expressed in both HCAECs and HASMCs, thus, it was prioritized for further investigation. We demonstrated it was significantly elevated in senescent vascular cells, aged arteries, and early atherosclerosis. In vitro experiments showed that CST3 enhances the monocyte-endothelial cell adhesion. Additionally, ligand-receptor pairing analyses revealed two important pathways, COL4A1-ITGA1 and LPL-LRP1 pathways, linked to the critical processes in the development of atherosclerosis, including cell adhesion, inflammation response, extracellular matrix organization, and lipid metabolism. We further demonstrated a reduced monocyte-endothelial cell adhesion following the knockdown of COL4A1 or ITGA1 and a significantly increased expression of COL4A1, ITGA1, and LPL in arterial intima of aged mice and ApoE-/- mice. Our findings demonstrate that vascular cell-derived SASP proteins increase the CAD susceptibility and identify CST3 functionally contributing to atherosclerosis.

Association of Circulating Carbohydrate Antigen 19-9 Level with Type 2 Diabetic Kidney Disease in Chinese Adults: A Cross-Sectional Study.

Objective: Very few and conflicting data are available regarding the correlation between circulating carbohydrate antigen 19-9 (CA19-9) levels and diabetic kidney disease (DKD) and its components including albuminuria and a low estimated glomerular filtration rate (eGFR). This study aimed to examine the association of circulating CA19-9 and DKD in Chinese patients with type 2 diabetes mellitus (T2DM). Methods: A total of 402 hospitalized T2DM patients between September 2017 and December 2021 were included in this cross-sectional study. There were 224 and 178 subjects in non-DKD and DKD groups, respectively. Serum CA19-9 was measured by chemiluminescence method, and its potential relationship with DKD was evaluated by multivariate logistic regression and correlation analyses, and receiver operating characteristic (ROC) curve analysis. Results: T2DM patients with DKD had significantly higher serum CA19-9 levels than those without, and serum CA19-9 levels were positively related to urinary albumin-to-creatinine ratio and negatively to eGFR (P<0.01). Multivariate regression analysis revealed that serum CA 19-9 was an independent factor of DKD [odds ratio (OR), 1.018; 95% confidence interval (CI), 1.002-1.035; P<0.05]. Moreover, an increased progressively risk of DKD with an increase in serum CA19-9 quartiles was observed (P for trend <0.001), and T2DM patients in the highest serum CA19-9 quartile were associated with an increased likelihood of DKD when compared to those in the lowest quartile (OR: 2.936, 95% CI 1.129-7.633, P<0.05). Last, the analysis of ROC curves suggested that serum CA 19-9 at a cut of 25.09 U/mL resulted in the highest Youden index with sensitivity 43.8% and 75.4% specificity to predict the presence of DKD. Conclusion: These results showed that high circulating CA19-9 was related to DKD and may serve as a useful biomarker of DKD in hospitalized Chinese T2DM patients.

The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study.

Background/Aims: : Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods: : A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results: : Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions: : In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.

Speech Acoustic Parameters for Predicting Presbyphagia: A Preliminary Study in the Elderly Shanghainese Population.

PURPOSE: Age is a high-risk factor for dysphagia. Speech and swallowing share the same anatomical and neurophysiological basis. Their functions are closely related; hence, speech assessment can predict the risk of dysphagia. This study aimed to investigate the factors influencing presbyphagia in a normal elderly Shanghainese population by analyzing speech acoustic parameters. METHODS: Relevant speech acoustic parameters were compared between 15 people with dysphagia and 15 without dysphagia. After extracting sensitive speech acoustic parameters related to swallowing, changes in sensitive parameters were compared at different ages to analyze the relevant factors influencing presbyphagia in the normal elderly population. RESULTS: Eight speech acoustic parameters related to swallowing, including maximum phonation time (MPT), max F0, /ʔʌ/Jitter, /ʔʌ/L-DDK, /hʌ/L-DDK, /pataka/DDK, F1/a/, and vowel space area, were extracted after comparing the relevant data between the two groups. Analyzing the changes in each of these parameters between different age groups (age 18-39, 40-64, and 65 and above), we discovered that three speech acoustic parameters, including MPT, /hʌ/L-DDK, and /pataka/DDK, had statistical differences, with a decreasing trend in their mean values with increasing age. CONCLUSIONS: The elderly group had significantly lower MPT, /hʌ/L-DDK, and /pataka/DDK than the young and middle-aged groups. We hypothesized that reduced respiratory support and control, decreased range of mouth movements and coordination, closed control of the vocal cords, and inadequate airflow control in vocal cord abduction are risk factors for presbyphagia in the elderly Shanghainese population.

A higher TyG index level is more likely to have enhanced incidence of T2DM and HTN comorbidity in elderly Chinese people: a prospective observational study from the reaction study.

BACKGROUND: Triglyceride glucose index (TyG index) was related with both type 2 diabetes (T2DM) and hypertension (HTN). Prospective studies linking the TyG index to the incidence of T2DM and HTN comorbidity remain unclear. This study aimed to to explore the longitudinal association between TyG and new-onset T2DM with HTN. METHODS: 4,434 subjects (1249 males and 3185 females) without initial T2DM and HTN were followed up for 7 years. This study was conducted from November 2011 to August 2018 in the Gucheng, Laoshan and Jinding communities of Beijing. The incidence of T2DM with HTN during the 7-year follow-up was identified as the endpoint. The TyG index was divided into four quartiles: the < 25% level, the 25-50% level, the 50-75% level and the ≥ 75% level. The relationships between the TyG index and T2DM with HTN were evaluated by Cox proportional hazards regression models. RESULTS: During 7 years, the augmented trend of T2DM with HTN was observed in the participants. After adjusting for all confounding factors, compared with those in the lowest quartile of TyG index, the population in the highest quartile of TyG index had a higher risk of T2DM with HTN (hazard ratio (HR), 2.878; 95% confidence intervals (95% CI), 1.230-6.731, P = 0.015), however, the association remained significant only in the female population (HR 2.753, 95% CI, 1.061-7.139, p = 0.037). The TyG had superior predictive ability of increased risk of T2DM with HTN for the populations of older age (≥ 65 years) (HR 2.694, 95% CI 1.212-5.989, p = 0.015), higher eGFR (≥ 90 mL/(min·1.73 m2)) (HR 2.603, 95% CI 1.164-5.818, p = 0.020) or obesity (BMI ≥ 28 kg/m2) (HR 2.547, 95% CI 1.001-6.478, p = 0.020). CONCLUSION: A population with a higher TyG index level was more likely to have an enhanced incidence of T2DM and HTN comorbidity. TyG index could have the significance of clinical in early protection against T2DM with HTN.

Sitagliptin Extends Lifespan of Caenorhabditis elegans by Inhibiting Insulin/Insulin-Like Signaling and Activating Dietary Restriction-Like Signaling Pathways.

INTRODUCTION: The discovery of longevity molecules that delay aging and prolong lifespan has always been a dream of humanity. Sitagliptin phosphate (SIT), an oral dipeptidyl peptidase-4 (DPP-4) inhibitor, is an oral drug commonly used in the treatment of type 2 diabetes (T2D). In addition to being antidiabetic, previous studies have reported that SIT has shown potential to improve health. However, whether SIT plays a role in the amelioration of aging and the underlying molecular mechanism remain undetermined. METHODS: Caenorhabditis elegans (C. elegans) was used as a model of aging. Lifespan assays were performed with adult-stage worms on nematode growth medium plates containing FUdR with or without the specific concentration of SIT. The period of fast body movement, body bending rates, and pharyngeal pumping rates were recorded to assess the healthspan of C. elegans. Gene expression was confirmed by GFP fluorescence signal of transgenic worms and qPCR. In addition, the intracellular reactive oxygen species levels were measured using a free radical sensor H2DCF-DA. RESULTS: We found that SIT significantly extended lifespan and healthspan of C. elegans. Mechanistically, we found that several age-related pathways and genes were involved in SIT-induced lifespan extension. The transcription factors DAF-16/FOXO, SKN-1/NRF2, and HSF-1 played important roles in SIT-induced longevity. Moreover, our findings illustrated that SIT-induced survival benefits by inhibiting the insulin/insulin-like signaling pathway and activating the dietary restriction-related and mitochondrial function-related signaling pathways. CONCLUSION: Our work may provide a theoretical basis for the development of anti-T2D drugs as antiaging drugs, especially for the treatment of age-related disease in diabetic patients.

Health-related quality of life in Chinese SLE patients: evidence from 1568 SLE patients and 2610 healthy controls.

OBJECTIVE: To investigate the effects of systemic lupus erythematosus (SLE) on health-related quality of life (HRQOL), the relationship between disease activity and HRQOL, and potential factors affecting HRQOL in Chinese SLE patients. METHODS: This study recruited 1568 patients and 2610 controls to explore the effects of SLE on HRQOL. The association between disease activity and HRQOL, and the influencing factors of HRQOL were determined in 1568 patients. Then, we prospectively followed 1096 patients to explore the association between reduced disease activity and improved HRQOL, and the influencing factors of improved HRQOL. The Short-Form 36 (SF-36) and SLE disease activity index (SLEDAI) were used to evaluate HRQOL and disease activity. RESULTS: Chinese SLE patients had lower HRQOL than controls in all domains (P < 0.001), especially in role-physical (RP) and role-emotional (RE). Compared with SLE patients from outside China, the HRQOL of Chinese patients appeared to be higher in mental component summary (MCS) but lower in RP and RE. SLEDAI was negatively correlated with HRQOL, which was validated using the results of a follow-up study, where SLEDAI reduction was positively associated with HRQOL improvements (P < 0.05). Furthermore, personality, life nervous and experiences of adverse life events may influence HRQOL and HRQOL improvements. CONCLUSION: SLE significantly affected the HRQOL of Chinese patients, especially in RP and RE. Disease activity was negatively correlated with HRQOL. We also found for the first time some factors affecting HRQOL, which can be regarded as the basis for improving the HRQOL of SLE patients.

Sodium benzoate induces pancreatic inflammation and ß cell apoptosis partially via benzoylation.

Epigenetics, specifically histone post-translational modification (HPTM) induced by environmental factors, plays a crucial role in the development of diabetes. Sodium benzoate (NAB) is a widely used additive, however, its potential contribution to diabetes has been largely overlooked. In 2018, a novel HPTM called benzoylation (Kbz) induced by NAB was discovered. This modification can be catalyzed by ACSS2 (acyl-CoA synthetase short-chain member 2) and acyltransferase P300/CBP, and can be reversed by erase enzymes SIRT2. Studies have indicated that Kbz may regulate insulin secretion, although the exact molecular mechanism remains unclear. In our study, C57BL/6J mice were divided into two groups: the NC group and the 1g/kg NAB water feeding group. In vivo experiments were conducted using ß-TC-6 cells, with 6 mM NAB or 100 µM benzoyl-CoA as stimuli, and 10 µM A485 (P300 inhibitor), 5 µM ACSS2 inhibitor (inhibiting benzoyl-CoA synthesis), or 5 µM AGK2 (SIRT2 inhibitor) as intervention factors. Our study found that, although the experimental concentration of NAB is below the maximum allowable concentration in food, it still damaged the insulin secretion function of C57BL/6J mice and induced inflammation and apoptosis of islet ß cells. We observed significant differences in serum benzoyl-CoA levels between healthy individuals and patients with type 2 diabetes. Furthermore, NAB concentration-dependently increases benzoyl-CoA and Kbz levels. When Kbz is down-regulated using A485 and ACSS2 inhibitor, we observed a reduction in ß cell inflammation, apoptosis, and insulin secretion damage. Conversely, up-regulating Kbz using AGK2 resulted in increased levels of ß cell inflammation and apoptosis. In conclusion, our data suggest that NAB, despite being within the safe dose range, may be an overlooked environmental risk factor contributing to the pathogenesis of diabetes through its impact on Kbz.

Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults.

Studies have found a U-shaped relationship between sleep duration and chronic kidney disease (CKD) risk, but limited research evaluated the association of reallocating excessive sleep to other behavior with CKD. We included 104 538 participants from the nationwide cohort of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, with self-reported time of daily-life behavior. Using isotemporal substitution models, we found that substituting 1 h of sleeping with sitting, walking, or moderate-to-vigorous physical activity was associated with a lower CKD prevalence. Leisure-time physical activity displacement was associated with a greater prevalence reduction than occupational physical activity in working population. In stratified analysis, a lower CKD prevalence related to substitution toward physical activity was found in long sleepers. More pronounced correlations were observed in long sleepers with diabetes than in those with prediabetes, and they benefited from other behavior substitutions toward a more active way. The U-shaped association between sleep duration and CKD prevalence implied the potential effects of insufficient and excessive sleep on the kidneys, in which the pernicious link with oversleep could be reversed by time reallocation to physical activity. The divergence in the predicted effect on CKD following time reallocation to behavior of different domains and intensities and in subpopulations with diverse metabolic statuses underlined the importance of optimizing sleeping patterns and adjusting integral behavioral composition.

Increased Systemic Immune-Inflammation Index Was Associated with Type 2 Diabetic Peripheral Neuropathy: A Cross-Sectional Study in the Chinese Population.

Background: Systemic immune-inflammation index (SII), a novel inflammatory marker, has been demonstrated to be associated with type 2 diabetes mellitus (T2DM) and its vascular complications, however, the relation between SII and diabetic peripheral neuropathy (DPN) has been never reported. We aimed to explore whether SII is associated with DPN in Chinese population. Methods: A cross-sectional study was conducted among 1460 hospitalized patients with T2DM. SII was calculated as the platelet count × neutrophil count/lymphocyte count, and its possible association with DPN was investigated by correlation and multivariate logistic regression analysis, and subgroup analyses. Results: Patients with higher SII quartiles had higher vibration perception threshold and prevalence of DPN (all P<0.01), and SII was independently positively associated with the prevalence of DPN (P<0.01). Multivariate logistic regression analysis showed that the risk of prevalence of DPN increased progressively across SII quartiles (P for trend <0.01), and participants in the highest quartile of SII was at a significantly increased risk of prevalent DPN compared to those in the lowest quartile after adjustment for potential confounding factors (odds rate: 1.211, 95% confidence intervals 1.045-1.404, P<0.05). Stratified analysis revealed positive associations of SII quartiles with risk of prevalent DPN only in men, people less than 65 years old, with body mass index <24 kg/m2, duration of diabetes >5 years, hypertension, dyslipidaemia, poor glycaemic control, and estimated glomerular filtration rate <90 mL/min/1.73 m2 (P for trend <0.01 or P for trend <0.05). The receiver operating characteristic curve analysis revealed that the optimal cut-off point of SII for predicting DPN was 617.67 in patients with T2DM, with a sensitivity of 45.3% and a specificity of 73%. Conclusion: The present study showed that higher SII is independently associated with increased risk of DPN, and SII might serve as a new risk biomarker for DPN in Chinese population.

Early adulthood weight change, midlife "Life's essential 8" health status and risk of cardiometabolic diseases: a chinese nationwide cohort study.

BACKGROUND: The association between weight change during early adulthood and cardiometabolic diseases remains uncertain in Chinese population. Whether the association varies with comprehensive cardiovascular health (CVH) in midlife assessed by "Life's Essential 8" has not been characterized. We aim to examine the associations of early adulthood weight change and midlife "Life's Essential 8" CVH status with cardiometabolic outcomes in a Chinese cohort. METHODS: The study participants were from the China Cardiometabolic Disease and Cancer Cohort (4 C) Study. This analysis included 72,610 middle-aged and older participants followed for a median of 3.6 years. At baseline, the participants recalled body weight at age 20 and 40 years, and we calculated change in weight and BMI between 20 and 40 years of age. Health behaviors information in "Life's Essential 8" was collected by questionnaire, and health factors were measured in the study center. During follow-up, we ascertained incident cardiovascular events based on medical records, and diagnosed incident diabetes according to the American Diabetes Association 2010 criteria. RESULTS: 72,610 study participants were included with a mean age of 56.0 ± 8.8 years and 29% of them were males. Weight gain of more than 10 kg between 20 and 40 years of age was associated with 22% increased risk of incident cardiovascular events (HR: 1.22; 95%CI: 1.04-1.43) and 38% increased risk of diabetes (HR: 1.38; 95%CI: 1.25-1.53) compared to stable weight. Besides, the association of weight gain more than 10 kg in early adulthood with cardiometabolic risk was even stronger in those with low CVH score in midlife (HR: 2.44; 95%CI: 2.01-2.97 for incident cardiovascular events; HR: 2.20; 95%CI: 1.90-2.55 for incident diabetes) or with few ideal cardiovascular health metrics in midlife. CONCLUSIONS: Our study indicated that weight gain in early adulthood was associated with significantly increased risk of cardiometabolic diseases. And the association could be stronger in those with poor CVH profiles in midlife. These findings confirmed the significance of weight management during early adulthood and suggested that individuals who experienced substantial weight gain in early life should be encouraged to maintain good CVH status in Chinese population.