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Carbamoyl phosphate synthetase 1 (CPS-1) deficiency is a rare autosomal recessive disorder that disrupts the proximal mitochondrial phase of the urea cycle, resulting in impaired ureagenesis, hyperammonaemia and metabolic decompensation during the neonatal period. This condition is linked to significant neurological impairment and poses a considerable risk of mortality, especially in newborns. This case underscores the importance of recognising urgent clinical presentation and the intricate management challenges encountered in the treatment of early-onset CPS-1 deficiency. Show less

Accurate measurement of lipoprotein(a)-cholesterol [Lp(a)-C] may be useful in interpreting the traditional lipid panel, particularly in patients with high Lp(a). We developed and analytically validated a direct immunocapture ELISA in a Clinical Laboratory Improvement Amendments-certified laboratory for quantifying Lp(a)-C in human plasma using an apolipoprotein(a)-specific monoclonal antibody (LPA4) coupled to magnetic beads. The linearity of the assay was found to be excellent (R Show less

Cancer stem cells (CSCs) play a key role in the progression of colorectal cancer (CRC). The high heterogeneity of CSCs has hindered the clinical application of CSC-targeting therapies. Tetracyclines are drugs with therapeutic potentials beyond their antibiotic activity. We previously demonstrated the efficacy of tigecycline, a third-generation tetracycline, against a model of colitis-associated colorectal cancer, primarily focusing on its immunomodulatory role with a preliminary assessment of its impact on stemness. In this study we characterize the effects of tigecycline on colon CSCs in vitro and in a CRC xenograft model, with special attention on the signaling pathways involved and the modulation of the gut microbiota. We generated secondary colonospheres from two colon tumor cell lines HCT116 and CMT93, and evaluated the effect of tigecycline on CSCs properties. We showed that tigecycline (25, 50 μM) effectively reduced colon CD133 Show less

Exchangeable apolipoproteins, including apolipoprotein C-II (apo C-II), apolipoprotein C-III (apo C-III), and apolipoprotein E (apo E), play central roles in the modulation of cardiovascular disease (CVD) risk by readily transferring between anti-atherogenic high-density lipoprotein (HDL) and pro-atherogenic triglyceride-rich lipoproteins (TRL). High intra-pancreatic fat deposition (IPFD) has also emerged as a novel risk factor for CVD. This study aimed to investigate the associations of apo C-II, apo C-III, and apo E with IPFD, as well as with TRL and HDL subclasses. Abdominal magnetic resonance imaging at 3.0 T was used to quantify IPFD. Plasma levels of apo C-II, apo C-III, and apo E were measured. TRL and HDL subclasses were analysed, with TRL categorised into very-low-density lipoprotein (VLDL) and intermediate-density lipoprotein (IDL) subclasses (IDL-C, IDL-B, and IDL-A), and HDL into HDL-large, HDL-intermediate, and HDL-small subclasses. Univariate and multivariate linear regression analyses were performed to assess these associations. A total of 128 individuals were analysed. IPFD showed a significant inverse association with both apo C-II and apo C-III, consistent across all statistical models. In the most adjusted model, each unit increase in IPFD was associated with a 0.36-unit decrease in apo C-II (p = 0.001) and a 0.31-unit decrease in apo C-III (p = 0.004). Furthermore, apo C-II and apo C-III were significantly and inversely associated with all IDL subclasses (p < 0.02), but not with VLDL, across all models. No statistically significant association between apo E and IPFD or any IDL subclass was observed in the most adjusted model. Apo C-II and apo C-III, but not apo E, contribute to the previously observed positive relationship between IPFD and IDL. Show less

Postoperative cognitive dysfunction (POCD) in older adults is strongly linked to neuroinflammation driven by microglial activation and NF-κB signaling. Runx1 has emerged as an upstream regulator of NF-κB, but its role in POCD is unknown. Dendrobine, a sesquiterpenoid alkaloid from Dendrobium species, exhibits anti-inflammatory and neuroprotective activity. POCD was induced in aged C57BL/6 mice via sevoflurane anesthesia combined with exploratory laparotomy. Dendrobine (10 or 20 mg/kg) was administered, and cognitive outcomes were evaluated by Morris Water Maze and Novel Object Recognition. RNA sequencing, Western blotting, immunofluorescence, and in vitro microglia-neuron co-culture systems were employed to investigate inflammatory responses, apoptosis, synaptic plasticity, and signaling pathway activation. Functional roles of Runx1 were validated via siRNA knockdown, pharmacological inhibition (Ro5-3335), and overexpression in BV2 cells. Dendrobine improved spatial and recognition memory in POCD mice, reduced hippocampal microglial activation, proinflammatory cytokine expression (TNF-α, IL-1β, IL-6), and neuronal apoptosis while enhancing synaptic protein levels (BDNF, PSD95, SYN1). Transcriptomic and KEGG analyses revealed suppression of NF-κB signaling by dendrobine, with Runx1 identified as an upstream modulator. Dendrobine downregulated Runx1 expression in vivo and in vitro. Runx1 inhibition enhanced dendrobine's anti-inflammatory effects, whereas RUNX1 overexpression abolished them. Dendrobine ameliorates POCD by inhibiting the Runx1/NF-κB signaling pathway, suppressing neuroinflammation, promoting synaptic resilience, and preventing neuronal apoptosis. Runx1 appears to act as a key upstream mediator of NF-κB signaling in POCD. Targeting the Runx1/NF-κB axis represents a promising strategy for perioperative neuroprotection. Show less

Physical activity can improve health-related quality of life (HRQoL); however, it is not clear whether this association is direct or indirect. The aims of this study were to examine the associations of daily movement behaviours with physical and mental HRQoL in older adults, and the mediating role of muscle strength and body composition on it. Three hundred thirty-four community-dwelling older adults wore the Intelligent Device for Energy Expenditure and Activity for two consecutive days to quantify time spent in sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). HRQoL was assessed using the 12-Item Short-Form Health Survey, yielding physical (PCS) and mental (MCS) component scores. For muscle strength, a handgrip dynamometer and the Sit-to-Stand test were used. Body mass index (BMI), waist circumference, and estimates of skeletal muscle mass and fat mass by bioelectrical impedance were included as body composition variables. Association analyses were examined using linear regression models, and for mediation analysis, structural equation modelling was used. MVPA was positively associated with PCS [β (95%CI): 0.39 (0.19, 0.59)], whereas no significant associations were observed between MVPA, LPA, or SB and MCS. The association between MVPA and PCS was partially mediated by lower-limb muscle strength and fat mass percentage [8.5% (z = 1.753, p = 0.080) and 28.9% (z = 1.912, p = 0.056), respectively], and fully mediated by skeletal muscle mass normalized by BMI [28.2% (z = 2.016, p = 0.044)].Regular engagement in MVPA is positively associated with the physical component of HRQoL in older adults, both directly and indirectly through muscle strength and skeletal muscle mass. Show less

This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses. The research integrated single-cell transcriptome data (GSE189903) with bulk transcriptome data (TCGA-LIHC, GEO datasets), focusing on palmitoylation-related genes in HCC epithelial cells. The scAB deconvolution algorithm was used to analyze the association between epithelial cell subsets and patient survival, and hdWGCNA was combined to construct a gene co-expression network. Through differential expression analysis, univariate Cox regression, and LASSO penalized regression, 7 key genes (SERPINE1, FMO3, ALDH2, CPS1, SLCO1B1, ACAT1, ACADS) were identified to build a prognostic risk model. Validation results showed that the model could effectively distinguish the survival prognosis of high-risk and low-risk patients (AUC values for 1/3/5 years in the TCGA cohort were 0.676, 0.656, and 0.642, respectively; those in the GSE14520 validation set were 0.702, 0.658, and 0.654, respectively), and the risk score was an independent prognostic factor. Further analyses revealed that the risk score was associated with tumor staging, immune cell infiltration (e.g., T cells, monocytes), response to immunotherapy, and drug sensitivity. Functional enrichment analysis indicated that the high-risk group was enriched in cell cycle regulation and oncogenic signaling pathways, while the low-risk group was related to metabolic pathways. This study is the first to analyze the regulatory network of palmitoylation in HCC epithelial cells by combining single-cell and bulk transcriptomes, providing new molecular targets and methodological references for HCC prognosis evaluation and precision therapy. Show less

This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated. 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated. The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting. Show less

This is a cross-sectional study designed to identify the latent profiles of psychological resilience in elderly patients with fracture and examine the relationship between resilience categories and fear of falling (FOF), thereby informing individualized rehabilitation strategies. A convenience sample was drawn from elderly patients admitted to the Department of Traumatology and Orthopedics at a tertiary general hospital in Beijing between September 2024 and July 2025 due to fall-related fractures. A total of 213 older adults aged 60 and above with fall-related fractures were included. Psychological resilience was assessed using the Connor-Davidson Resilience Scale (CD-RISC), and FOF was measured with the Falls Efficacy Scale-International (FES-I). Latent Profile Analysis (LPA) was used to identify resilience profiles. Logistic and linear regression analyses, adjusting for age, sex, comorbidities, pain level, functional status, and time since fracture/surgery, were performed to explore the relationship between resilience subtypes (entered as a continuous CD-RISC score), demographic and clinical factors, and FOF levels. The age of elderly patients with fall-related fractures was 60–98 (75.28 ± 8.73) years old, and the median age was 74 years old. Three latent resilience profiles were identified: low (33.5%), moderate (22.7%), and high (43.8%) resilience groups. Patients in the high-resilience group exhibited significantly lower FOF scores than those in the other two groups ( Psychological resilience is independently associated with fear of falling among elderly fracture patients, with a clear gradient across resilience profiles. Enhancing resilience, particularly in low-resilience individuals, may be a potential target for intervention, though causal inference is limited by the cross-sectional design and single-center, convenience sampling strategy. Integrating resilience assessment into clinical evaluation could support more holistic rehabilitation planning. ChiCTR2400089221, September 4, 2024. Show less

This study aimed to identify heterogeneous profiles of self-neglect (ESN) and their associated factors among rural Chinese older adults with chronic diseases. A cross-sectional survey was conducted among 719 rural older adults with chronic diseases in Sichuan, China, from January to June 2020. The questionnaire included sociodemographic and health-related characteristics, as well as the Three-Item UCLA Loneliness Scale (UCLALS-3), the Social Support Rating Scale (SSRS), the Scale of Older Adults Self-Neglect (SESN), the Five-Item Geriatric Depression Scale (GDS-5), and the Short Portable Mental Status Questionnaire (SPMSQ). Latent profile analysis (LPA) was conducted to identify distinct patterns of patterns of self-neglect among older adults (ESN). Four profiles were identified: low-level neglect (35.0%), selective mild neglect (37.7%), moderate neglect (14.7%), and severe neglect (12.5%). Compared with the low-level neglect group, selective mild neglect was more common among participants with poorer economic status, poor sleep quality, and alcohol consumption. The moderate neglect profile was associated with older age, lack of regular physical examinations, smoking, pain, cognitive impairment, and lower social support. Severe neglect was marked by the absence of grandchild caregiving, higher loneliness, smoking, and depression. Pairwise comparisons indicated stage-dependent patterns, with reversed associations for social support (protective in moderate neglect but a risk marker in severe neglect) and pain (a risk factor in moderate neglect, whereas its absence indicated higher risk in severe neglect). ESN among older adults with chronic diseases in rural China is heterogeneous and comprises distinct latent profiles with stage-dependent risk factors. For selective mild neglect, interventions should emphasize economic and lifestyle support. For moderate neglect, priorities include routine monitoring, regular physical examinations, and health literacy promotion. For severe neglect, intensive psychosocial interventions should address depression and loneliness and promote alternative engagement in family roles, particularly among older adults who do not provide grandchild caregiving. Integrating these profile-specific strategies into rural primary care may help reduce self-neglect and improve health outcomes in this vulnerable population. Show less

Xinjiang Brown cattle are an important beef breed in Northwest China. Although multigenerational selective breeding has improved their growth performance, the accompanying molecular adaptations and potential physiological trade- ofs remain insufficiently elucidated at the systemic level. This study aimed to decipher the dynamic serum proteomic profiles shaped by both ontogeny and generational selection in Xinjiang Brown cattle, and to identify the associated key proteins and pathways. Serum samples from 18 bulls across three genera- tions (A, B, C) at 3 and 9 months of age were analyzed using Tandem Mass Tag (TMT)-based quantitative proteomics. Under stringent quality control (FDR < 1%), 583 high-confidence proteins were identified. Diferentially expressed proteins (DEPs) were screened using thresholds of |fold change| ≥ 1.2 and This study reveals that the breeding strategy for Xinjiang Brown cattle prioritizes shaping a proteomic landscape that promotes growth and metabolism, potentially at the cost of atten- uated immune-vascular reactivity. The identified panel of candidate proteins pro- vides a molecular framework for evaluating breeding outcomes and designing balanced selection strategies. Follow-up research should further investigate the functions of these candidate proteins and validate their predictive value for health and production performance in independent herds. Show less

This study examined how different photoperiods affect net energy partitioning and explored the mechanisms via blood biochemistry, gut microbiota, and fecal metabolites. Twelve healthy crossbred pigs (47.7 ± 7.5 kg) were randomly allocated to two groups and subjected to a self-controlled crossover design. Following an 8-day baseline under a normal photoperiod (12L:12D, 12 h light:12 h dark), pigs were assigned to two photoperiod treatment groups: prolonged photoperiod (18L:6D, 18 h light:6 h dark; P group) and shortened photoperiod (6L:18D, 6 h light:18 h dark; S group). Measurements during the baseline (12L:12D) and treatment phases are designated as N1/P (for the P group) and N2/S (for the S group), respectively. The treatment periods were interspersed with the baseline 12L:12D photoperiod and repeated six times. It was observed that, compared to N2, shortened photoperiod (S) had significantly higher net energy deposition, net energy for protein deposition, and net energy for fat deposition ( Show less

This cross-sectional study aimed to examine the associations between the 24-h movement behaviors and mental health among university students in China, and to determine the optimal behavioral balance based on the top 5% of model-predicted mental health outcomes using compositional data analysis. A total of 6,084 university students aged 17–24 years in Southwest China self-reported their daily durations of moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behavior (SED), and sleep (SLP). They were stratified by gender and then randomly and equally assigned to the “recommendation” group and the “validation” group. Using compositional data analysis, time-use compositions (MVPA, LPA, SED, SLP) were transformed into isometric log-ratios (with quadratic terms as needed) and subsequently used in regression models to predict the three mental health outcomes. All possible combinations of motion components were examined to determine the combination with the highest correlation (top 5%) for each outcome. Through research and analysis of the recommendation groups, the optimal combination of average (range) time usage is determined as follows: for males, MVPA 92 (60–110) min/day, LPA 361 (310–400) min/day, SED 372 (350–480) min/day, SLP 614 (530–680) min/day; for females, MVPA 58 (40–90) min/day, LPA 290 (180–390) min/day, SED 445 min (400–560), SLP 665 (580–740) min/day. The recommended durations served as benchmarks for the validation group. Participants who met the optimal 24-h movement behavior time showed significantly lower depression (males: β = –1.290, The optimal 24-h movement behavior time differs between men and women. Males tend to require a longer optimal MVPA duration than females, while females require a longer optimal SLP duration than males. The findings provide valuable reference for developing 24-h movement guidelines and promoting healthy and balanced lifestyles among university students. [Image: see text] The online version contains supplementary material available at 10.1186/s12889-026-26534-x. Show less

Apolipoprotein E (APOE) genotype influences the presence, course and severity of sporadic cerebral amyloid angiopathy (sCAA). We investigated the effect of the APOE ε4-allele on clinical and neuroradiological outcomes in mutation-carriers with Dutch-type hereditary (D-)CAA. Participants with D-CAA from a prospective cohort study, with data collected on history of symptomatic intracerebral hemorrhages (sICH) and vascular risk factors, underwent 3 Tesla magnetic resonance imaging (MRI) scans to assess macrobleeds, cerebral microbleeds (CMBs), cortical superficial siderosis (cSS), enlarged perivascular spaces (EPVS), white matter hyperintensity (WMH) volume and WMH multispot lesions. Global cognition was measured using Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores. Associations between ≥1 APOE ε4-allele and age of first sICH, time to recurrence, cognition and radiological data were analyzed with adjustments for confounders. Eighty-one participants (mean age 47 years, 54% women, 38% with sICH history) were included. The APOE ε4-allele was not associated with earlier sICH onset (median age 56 versus 57 years; p = 0.6) or time to recurrence (5.0 versus 3.9 years; p = 0.4), nor was it associated with macrobleeds (β 2.0; 95%CI 2.4- -2.7; p = 0.4), CMBs (β 2.9; 95%CI 1.0-8.9; p = 0.06), cSS (aOR 0.5; 95%CI 0.1-2.0; p = 0.3), EPVS (aOR 0.4; 95%CI 0.1-1.5; p = 0.6), WMH volume (β 6.8; 95%CI -1.9-15.4; p = ), a multispot pattern (OR 0.7; 95%CI 0.2-2.7, p = 0.6), or cognition (β -0.3; 95%CI -0.4- -0.5; p = 0.5). APOE ε4 does not affect key clinical parameters or D-CAA neuroradiological markers and therefore does not explain the large variation in disease course in D-CAA. Show less

We report the case of a 47-year-old woman with severe hypertriglyceridemia due to a homozygous APOA5 c.553G>T (p.Gly185Cys) mutation. She presented with markedly elevated triglyceride levels (TG, 1,047 mg/dL) that were unresponsive to lifestyle modifications. Lipoprotein fractionation revealed increased chylomicrons (CMs, 21%) and very-low-density lipoprotein (35%), consistent with type V hyperlipoproteinemia. Secondary causes, such as diabetes, alcohol intake, and hypothyroidism, were excluded. The post-heparinization lipoprotein lipase (PH-LPL) level was reduced (104 ng/mL), indicating impaired lipolysis. Genetic testing revealed no pathogenic variants in LPL or other major genes related to triglyceride metabolism. A homozygous APOA5 c.553G>T variant was identified. Pemafibrate (0.2 mg/day), a selective PPARα modulator (SPPARMα), was initiated. After 2 months, the blood lipid levels had markedly improved, with the complete disappearance of CMs, and the PH-LPL level had normalized to 173 ng/mL. This case highlights the potential pathogenic role of APOA5 mutations in LPL-related hypertriglyceridemia. Furthermore, it demonstrates the multifaceted therapeutic effects of pemafibrate, suggesting a potential role for SPPARMα therapy in the management of hereditary hypertriglyceridemia. Homozygous APOA5 mutations can cause reduced LPL protein levels, leading to severe hypertriglyceridemia with elevated CMs and VLDL. Pemafibrate may improve both LPL levels and lipid profiles, even in cases with reduced LPL protein and chylomicronemia. ApoA5-related chylomicronemia can resemble familial chylomicronemia syndrome but may respond to therapies such as pemafibrate, highlighting the importance of accurate genetic diagnosis. Show less

Hypertriglyceridaemia-induced pancreatitis in pregnancy (HTG-IPP) is a rare but serious condition. There is a paucity of evidence-based guidelines and recommendations for screening and management of HTG-IPP. Individual genomics can predispose certain populations to a higher risk of developing HTG-IPP. To report on a case series of the management of four individual pregnancies complicated by HTG-IPP, subsequently found to be associated with pathogenic genetic variants involved in triglyceride (TG) metabolism. The medical records of four individual pregnancies from two metropolitan hospitals in Australia were reviewed regarding the management of their HTG-IPP and genetic testing for hypertriglyceridaemia (HTG). A literature review of previous cases of HTG-IPP with an identified pathogenic variant was performed. The identified genetic variants resulting in a diagnosis of HTG and HTG-IPP were within glycosylphosphatidylinositol anchored high density lipoprotein binding protein 1 (GPIHBP1), lipoprotein lipase (LPL) and apolipoprotein A5 (APOA-5). All patients had co-morbid gestational diabetes mellitus (GDM) and were of South Asian or Asian ethnicity. All four patients were effectively managed with fasting, intravenous insulin, omega-3 fatty acids (O3FAs) and very low-fat diet (VLFD) with supplementation with medium-chain TG (MCT) oil. Further genomics research is needed to increase our understanding for its use in predicting risk of severe gestational HTG. With additional case identification, particular variants of pathogenic interest can be identified and screened for antenatally in patients with a moderate fasting HTG of more than 200 mg/dL (11.1 mmol/L) in the absence of other causative factors. Pre-conception optimisation of TGs and regular monitoring in pregnancy can reduce the incidence and disease burden associated with HTG-IPP and HTG. Show less

Lilium brownii is a plant that can be used for medicinal and food purposes. 1-O-p-coumaroyl-3-O-feruloyl glycerol (CF) is a phenolic acid glycerol dimer isolated from Lilium brownii. This study aims to evaluate the neuroprotective effects of CF and elucidate the possible molecular mechanisms underlying its neuroprotective effects through in vivo and in vitro models of Parkinson's disease. 1-methyl-4-phenylpyridinium ions (MPP Following CF administration, the apoptosis rate and reactive oxygen species (ROS) levels in PC12 cells were significantly reduced. CF markedly upregulated the expression of proteins including dopamine, tyrosine hydroxylase, brain-derived neurotrophic factor (BDNF), while simultaneously downregulating the expression of proteins such as α-synuclein. Molecular docking results demonstrated favorable affinity between CF and proteins including p62. This compound not only ameliorated motor and cognitive impairments in Parkinson's disease mice but also markedly increased neuronal numbers within the substantia nigra region of these animals. CF exerts a neuroprotective effect in Parkinson's disease by modulating the p62-Keap1-Nrf2 signalling pathway. Show less

Chemokines C-X-C Motif Chemokine Ligand 9 (CXCL9) and C-C Motif Chemokine Ligand 2 (CCL2) were previously linked to incident cognitive impairment and dementia in the Northern Manhattan Study (NOMAS). We investigated whether circulating CXCL9 and CCL2 are independently associated with the cerebral white matter disease (WMD) burden and whether WMD mediates their association with prospective cognitive outcomes. In the stroke-free, prospective, community-dwelling NOMAS cohort (age≥50) we examined white matter hyperintensity volume (WMHV) on brain MRI and serum chemokine levels. WMHV was normalized, log-transformed, and standardized. Cognitive status was assessed at MRI and again 12.2±1.3 years later to adjudicate incident cognitive decline and dementia. Multivariable linear regression models with either CXCL9 or CCL2 (in quartiles) as exposures and WMHV as the outcome were adjusted for socio-demographics and key contributors to WMD, including vascular risk factors (Model 1), kidney function (2), and APOE ε4 status (3). Mediation of the CXCL9-cognitive outcome association by WMHV was tested using Monte Carlo integration. Among 1,179 participants (mean age 70±9 years; 60% female), elevated CXCL9 (Q4 vs. Q1) was associated with greater WMHV (Model 1: β=0.20, 95%CI 0.06-0.34). This association persisted even after adjusting for kidney function (Model 2: β=0.17, 95%CI 0.03-0.34) and APOE ε4 status (Model 3: β=0.19, 95%CI 0.04-0.33). CXCL9 (Q4 vs. Q1) effect magnitude in Model 3 approximated ~4 years of aging (β=0.05/year, 95%CI 0.04-0.06), exceeding that of hypertension (β=0.16, 95%CI 0.05-0.27), with a stepwise trend present across quartiles (β/quartile increase=0.07, 95%CI 0.02-0.12, p=0.003). Among 1,166 participants (dementia-free at MRI), the indirect, WMHV-mediated pathway was statistically significant for the association of CXCL9 with incident cognitive decline (ACME 0.009, 95%CI 0.002-0.018, p=0.016) and with dementia (ACME 0.008, 95%CI 0.003-0.016, p=0.004). CCL2 showed no association with WMHV. Greater CXCL9 levels were associated with greater white matter lesion load, independent of vascular, renal, and genetic factors, suggesting a role in WMD pathogenesis. WMHV mediated CXCL9's association with cognitive decline and dementia risk. This IFN-γ-induced monokine (MIG) warrants further evaluation as a biomarker of white matter and cognitive health as well as a potentially modifiable therapeutic target. Show less

Neurotoxicity induced by excessive glutamatergic signaling is associated with synaptic dysfunction, calcium imbalance, and oxidative stress, which are key molecular events implicated in several neurodegenerative conditions. Monosodium glutamate (MSG), a common flavor enhancer, may exert neurotoxic effects, particularly on synaptic integrity, though mechanisms remain unclear. Tannic acid (TA), a natural polyphenol, has been proposed as a neuroprotective compound. This study investigated the impact of MSG on synaptic components beyond classical AD markers and assessed the protective potential of TA. Rats were randomly divided into four groups (n = 6 per group) and treated with MSG (2 g/kg) and/or TA (50 mg/kg) by oral gavage for 21 consecutive days. Gene and protein expression levels of the synaptic markers (GRIN2A, GRIN2B, DLG2, SNAP25, SCN2A, and ATP2B2) in the cerebral cortex were analyzed using qPCR and western blot. MSG treatment significantly downregulated SNAP25, GRIN2B, DLG2, and SCN2A at both mRNA and protein levels, indicating synaptic dysfunction. GRIN2A and ATP2B2 showed reduced mRNA expression, but protein levels were inconsistent. MSG+TA group showed no significant difference compared with the control group, while TA alone produced minimal changes, suggesting that its role is primarily protective under toxic stress. These findings suggest that chronic MSG exposure disrupts synaptic molecular architecture, whereas the restorative effect of TA may be attributed to its ability to modulate MSG-induced molecular alterations. The data emphasize synaptic pathways as alternative neurotoxicity targets and highlight TA's potential in mitigating diet-related excitotoxic synaptic alterations. Further functional and pathway-based studies are needed to confirm the underlying mechanisms. Show less

Psoriasis patients face a significantly elevated risk of cardiovascular diseases (CVD), necessitating early and accurate risk prediction tools. This study developed and validated a machine learning model to predict CVD risk in psoriasis patients using clinical and biochemical data from 2685 individuals. After preprocessing and addressing class imbalance with SMOTE-NC, six machine learning models (Logistic Regression as baseline, XGBoost, LightGBM, CatBoost, GradientBoosting, AdaBoost) were evaluated using a completely leak-free nested cross-validation framework (outer k = 10, inner k = 3) with randomized hyperparameter search (n_iter = 50). Feature selection via the Boruta algorithm was performed separately within each training fold to prevent data leakage. The Boruta algorithm identified 21 key predictors, including age, systolic blood pressure (SBP), apolipoprotein B (apoB), fasting blood glucose (FBG), and complement C1q. CatBoost emerged as the top-performing model (OOF ROC-AUC = 0.908, 95% CI [0.892-0.924]; PR-AUC = 0.509, 95% CI [0.448-0.578]; F1 = 0.540; MCC = 0.498; Brier = 0.078), while the Logistic Regression baseline achieved ROC-AUC = 0.909 but was eliminated due to poor calibration (Brier = 0.114 > 0.10). All metrics were evaluated with 95% bootstrap confidence intervals ( Show less

Atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality in individuals with diabetes, partly driven by dyslipidemia. While low-density lipoprotein cholesterol (LDL-C) reduction is the primary target of lipid management, many patients with diabetes exhibit mixed dyslipidemia characterised by elevated triglycerides and increased concentrations of atherogenic remnant lipoproteins, which are more comprehensively captured by non-high-density lipoprotein cholesterol (non-HDL-C). Current guidelines from international societies, including the American Diabetes Association (ADA), the American Association of Clinical Endocrinology (AACE), and the European Society of Cardiology (ESC), recommend LDL-C and non-HDL-C targets based on individual cardiovascular risk profiles. Despite clear therapeutic algorithms, lipid target attainment remains suboptimal in routine clinical practice, necessitating more intensive and individualised treatment strategies. Lipid-lowering therapies, including statins, ezetimibe, bempedoic acid and PCSK9 inhibitors, effectively reduce LDL-C and non-HDL-C, significantly lowering cardiovascular risk. Triglyceride-lowering therapies, including omega-3 fatty acids and fibrates, have demonstrated substantial reductions in triglyceride levels, but their impact on cardiovascular outcomes remains uncertain. Given the heterogeneity of dyslipidemia in diabetes, non-HDL-C and apolipoprotein B (apoB) have emerged as superior markers for assessing atherogenic burden. While LDL-C reduction remains central, additional efforts are needed to optimise the management of residual atherogenic lipoprotein particles in diabetes. Future research should focus on refining risk stratification, improving lipid target attainment, and integrating novel lipid-modifying agents to enhance cardiovascular outcomes in this high-risk population. Show less

GLP-1 RAs are effective in treating obesity; however, they typically result in significant loss of skeletal muscle mass. Real-world evidence to inform systematic guidelines and clinical implementation for preserving skeletal muscle mass and reducing cardiometabolic risk with lifestyle modifications on GLP-1 RAs remains limited. This study evaluated the effectiveness of the TouchCare Method, a lifestyle intervention incorporating nutrition and exercise with GLP-1 RAs, for improving body composition and cardiometabolic risk. A retrospective chart review included patients enrolled in Bucks Health and Wellness between February 2024 and September 2025, for at least 12 month ( Patients adherent to the TouchCare Method for 12 months were included in the final analysis ( The TouchCare Method may improve GLP-1 RA treatment outcomes by providing comprehensive structured lifestyle interventions supporting clinically significant weight loss while preserving skeletal muscle mass and improving cardiometabolic risk factors. Show less

Postprandial metabolic impairments play a key role in the pathophysiology of cardiometabolic diseases. While liver fat content has been linked to distinct fasting metabolite profiles, its relationship with postprandial metabolite profiles remains unexplored. In this study, we aimed to (1) examine to what extent liver fat content is associated with the postprandial metabolomic profile beyond fasting metabolites; and (2) investigate whether diet-induced changes in liver fat content are associated with changes in plasma metabolites identified in objective 1. In a subpopulation (n = 1986) of an existing cohort study and a 12-week dietary intervention study (n = 80), liver fat content was measured by proton magnetic resonance spectroscopy and categorized as low (< 2.5%), middle (2.5-5.5%), or high (> 5.5%). In the cohort study, plasma metabolomic profiles were quantified by NMR spectroscopy at fasting (T High liver fat group was characterized by higher fasting and postprandial levels of triglycerides, all VLDL and the small LDL/HDL subclasses, ApoB, fatty acids, glycoprotein acetyls, and BCAAs, and lower medium/larger HDL subclasses, and acetate compared to the low liver fat group. In the high vs. low liver fat group, postprandial responses of cholesterol content of S-LDL, IDL, and S-HDL, glutamine and histidine, omega-3% and DHA % were lower. Diet-induced reductions in liver fat were associated with reductions in 40 fasting plasma metabolites, including VLDL-TG, tyrosine, isoleucine, fatty acid ratios, and most of the VLDL subclasses. Postprandial metabolomic profiling revealed additional associations between liver fat content and plasma metabolites beyond fasting measures, particularly in lipoprotein cholesterol and fatty acid composition. Diet-induced reductions in liver fat were associated with favorable changes in fasting metabolites, but not postprandial metabolite responses. Future studies with harmonized postprandial assessment are needed to further elucidate the postprandial observations and the underlying mechanisms. The trials in this study were registered at clinicaltrials.gov as NL21981.058.08/P08.109 and NCT02194504. Show less

Women are susceptible to hormonal imbalances and endocrine-related disorders such as Polycystic Ovary Syndrome (PCOS), Ovarian Cancer (OC), and Major Depressive Disorder (MDD). This study aims to identify gene-level interconnections among these conditions using omics-based bioinformatic approaches. Publicly available GEO datasets, viz., GSE226146 (PCOS), GSE18520 (OC), and GSE125664 (MDD), were analyzed, which in total resulted in 21,366 differentially expressed genes (DEGs), including 11,174 upregulated and 10,198 downregulated genes. Common genes PTTG1 and PID1 were identified using Venny 2.0. A protein-protein interaction (PPI) network was constructed using STRING, and 10 hub genes (ANAPC5, ANAPC2, PTTG1, FZR1, ANAPC4, CDC20, CDC27, ANAPC10, UBE2C, and BUB1) were identified using CytoHubba based on MCC scoring. Functional enrichment analysis showed significant involvement of these genes in oocyte meiosis, progesterone-mediated oocyte maturation, mitotic regulation, and metaphase-anaphase transition (p < 0.05). PTTG1, identified as both a common and hub gene, was downregulated in PCOS and upregulated in OC and MDD. Drug-gene interaction analysis using DSigDB via Enrichr identified Alvespimycin (for PCOS) and Gefitinib (for OC) as drugs targeting PTTG1. Molecular docking using AutoDock 4.2.6 showed that Alvespimycin and Ephedrone bind PTTG1 with a binding affinity of - 4.59 kcal/mol and - 5.81 kcal/mol, respectively, while Gefitinib showed - 4.92 kcal/mol, slightly less than Troglitazone (-5.3 kcal/mol) for OC. This study highlights PTTG1 as a shared molecular link among PCOS, OC, and MDD, suggesting its potential as a therapeutic target and providing insights into the genetic and physiological overlap of these conditions. Show less

Colorectal cancer is the third leading cause of cancer-related deaths worldwide. Aberrant canonical Wnt signaling is a hallmark of this cancer type. It has been reported that LPA is a bioactive lipid that plays different roles in colon cancer by activating its G-protein-coupled receptors, promoting cell proliferation, migration, survival, and angiogenesis. Although it has been reported that LPA activates canonical Wnt signaling, the mechanisms underlying their interaction remain unclear; this study aims to investigate them. As previously reported, LPA receptor expression changes under malignant conditions: while LPA Show less

Seasonal variation in cardiovascular disease (CVD) is well documented. Data on seasonal fluctuations in cardiovascular risk markers are relatively sparse but may be relevant for CVD risk classification and treatment. We aimed to quantify the presence, magnitude, and timing of seasonality across various cardiovascular risk markers in patients referred to coronary angiography. In this retrospective, cross-sectional study, we analysed cardiovascular risk markers in 3316 patients referred to coronary angiography between July 1997 and January 2000 from the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. Seasonal patterns were assessed using robust cosinor regressions, while correcting for age and sex. For each cardiovascular risk marker, we evaluated seasonality, peak date and magnitude (difference between peak and nadir) of seasonal fluctuations. Accordingly, we analysed 24 different cardiovascular risk markers and corrected for the false discovery rate (FDR). Overall, 16 cardiovascular risk markers showed significant seasonal dependency, of which the following had Cohen's d higher than 0.2 (peak-nadir difference): 25-hydroxyvitamin D (10.28 ng/mL), LDL cholesterol (15.36 mg/dL), HbA1c (0.31%), Omega-3 Index (0.45%), HDL (3.18 mg/dL), HOMA Index (0.54), calcium (0.03 mmol/L), and ApoB (5.6 mg/dL). Timing of peaks varied starkly. The seasonality in cardiovascular risk markers of patients referred to coronary angiography indicates that diagnostic and therapeutic thresholds for these markers should consider the date of assessment. Diverse seasonality timings suggest that the underlying mechanisms for seasonal fluctuations are likely multifactorial. Further research should evaluate the individual and environmental factors that may cause these seasonal fluctuations. Show less

Atherosclerosis is a chronic inflammatory disease wherein macrophage polarization critically influences lesion development. Dipeptidyl peptidase-4 (DPP4), a serine protease expressed on immune cells, has been implicated in vascular inflammation; however, its cell type-specific roles remain unclear. This study aimed to determine whether Dpp4 deficiency, particularly in hematopoietic cells, affects macrophage polarization and atherosclerosis progression. Using Apoe-knockout (ApoeKO) and Apoe- and Dpp4-double knockout mice as well as bone marrow transplantation models, we evaluated the impact of systemic and myeloid-specific Dpp4 deficiency on macrophage phenotype and atherogenesis. In bone marrow-derived macrophages, Dpp4 deficiency enhanced M2 marker expression (Arg1, Ym1, Mgl2, and Fizz1) and increased the proportion of CD206 Show less