BACKGROUND

Stroke is a leading cause of morbidity and mortality in the Philippines. Telestroke systems have been introduced to improve timely recognition and referral; however, their effectiveness depends on utilization at the community level.

To assess stroke and telestroke knowledge, attitudes, practices, and barriers among barangay health workers (BHWs), and to determine factors associated with telestroke utilization.

A cross-sectional study was conducted among 202 BHWs. Data were collected using a structured questionnaire assessing knowledge, attitudes, practices, and perceived barriers. Descriptive statistics were used to summarize responses. Associations between variables were analyzed using appropriate statistical tests, with significance set at p < 0.05.

Respondents had high stroke knowledge (75.5%, SD = 17.45) and telestroke knowledge (85.5%, SD = 18.82), as well as favorable attitudes (mean = 4.37). However, only 31.1% reported telestroke utilization. The most commonly reported barriers were lack of training (61.4%) and poor internet connectivity (15.8%). Telestroke familiarity was significantly associated with higher knowledge (p = 0.005) and more favorable attitudes (p = 0.001). Stroke-related training (p = 0.001) and years of experience (p = 0.001) were significantly associated with higher utilization.

Despite high knowledge and favorable attitudes, telestroke utilization among BHWs remains low. Training, familiarity, and infrastructure appear to play key roles in bridging the gap between knowledge and practice. Strengthening these factors may improve the effectiveness of community-based telestroke systems.

Key Factors In The Quality Of Life Of The Elderly: Empirical Evidence From North Sumatra Through Social Network Analysis Introduction The aging population in Indonesia continues to increase, including in North Sumatra which has the potential to enter the phase of an aging population. However, a comprehensive study of multidimensional factors that affect the quality of life of the elderly is still limited. This study aims to identify key factors in the quality of life of the elderly with a multivariate approach and Social Network Analysis (SNA). Methodology The study used a quantitative design with an explanatory approach on 268 elderly people aged 60–64 years in Medan and Deli Serdang. The measurement instrument is a validated WHOQOL-OLD questionnaire. The analysis was carried out with logistical regression of the Backward LR model to determine significant predictors, followed by SNA analysis using UCINET to measure the connectivity and centrality of variables. This study obtained ethical permission and participant consent. Results Nine significant variables (p < 0.05) were found that affected the quality of life of the elderly. The strongest predictors were the ownership of non-government insurance (OR = 19.58), the existence of Posyandu for the Elderly (OR = 13.73), and the activeness of Posyandu cadres (OR = 5.32). On the other hand, the frequency of Posyandu visits showed a negative relationship (OR = 0.035). The results of SNA place the existence of the Elderly Posyandu as the central node with a degree value = 0.750; closeness = 0.800; betweenness = 63.99; then eigenvector = 0.514. Conclusions The results confirm that the Posyandu Lansia is a multifunctional intervention center that connects the health, social and economic aspects of the elderly. Reforming and strengthening Posyandu, expanding health insurance and providing an elderly-friendly environment are important strategies to improve the quality of life. These findings underscore the importance of community-based interventions with local cultural approaches.

Background/Aims: Biliary tract cancer (BTC) frequently harbors KRAS mutations, which are associated with resistance to traditional treatment and a poor prognosis. Synthetic lethality (SL) strategy may provide other targets of KRAS. Therefore, we aim to identify and validate potential therapeutic targets of KRAS for the treatment of BTC via SL. Methods: The dependency (DepMap) projects were used to predict the synthetic lethal gene of KRAS. FDA-approved anticancer drug library was applied to screen potential drugs effective against KRAS-mutant BTC. Furthermore, the synthetic lethal effects or corresponding mechanisms of potential genes and drugs on BTC were investigated using KRAS-mutant and KRAS-wild type BTC cell lines, patient-derived xenografts (PDX), and KRAS oncogene-driven tumor models, as well as other KRAS-mutant cancer cell lines. Results: Initially, we discovered that the loss of GATA2 reduced the viability of KRAS-mutant but not KRAS-wild-type BTC. Subsequently, the drug library screened out disulfiram, which primarily exerts a synthetic lethal effect by inhibiting interleukin-1β (IL-1β) in KRAS-mutant BTC. Mechanistically, GATA2 specifically enhanced the transcription of IL-1β to promote NF-κB signaling in KRAS-mutant BTC. IL-1β inhibition phenocopied GATA2 deficiency, leading to reduced KRAS-mutant BTC viability. These synthetically lethal effects were confirmed using PDX, a KRAS oncogene-driven tumor model, as well as in other KRAS-mutant cancer cell lines. Conclusions In summary, these results indicate that inhibiting GATA2/IL1β could be a therapeutic strategy in KRAS-mutant BTC and potentially other cancers.

ObjectiveAs a common lifestyle habit, alcohol consumption has a controversial association with the onset of Parkinson’s disease (PD). To demonstrate the correlation between alcohol consumption and PD and to identify associated genes, we integrated findings from clinical surveys, genomics, transcriptomics, and animal experiments. MethodsWe investigated the alcohol consumption rates (including both before and after disease onset) among 244 PD patients in China and 177 PD patients from the U.S. NHANES database. Mendelian randomization (MR) analysis was performed using genome-wide association study (GWAS) data for three alcohol-related traits and seven PD-related datasets from the MRC IEU OpenGWAS database. Transcriptomic data from the substantia nigra of PD patients were obtained from three GEO datasets (GSE7621, GSE20141, and GSE49036) to analyze RIT2 gene transcription. Finally, three groups of animal experiments (water/20% ethanol/20% liquor, with 4 C57BL/6J mice per group) were conducted to examine changes in brain RIT2 gene expression and transcriptomic profiles following alcohol consumption. ResultsThe alcohol consumption rates among PD patients in China and the U.S. (9%-18.87%) were significantly lower than the general population rates of 15%-45% in their respective regions (P<0.001), suggesting a possible negative association between alcohol consumption and PD. Subsequently, in 21 bidirectional MR analyses using 3 alcohol-related GWAS datasets and 7 PD-related GWAS datasets, the forward MR analyses (alcohol intake as exposure, PD as outcome) yielded 12 negative associations (OR_IVW<1) and 9 positive associations (OR_IVW>1). Among these, only two negative associations reached statistical significance: alcohol intake frequency (OR_IVW=0.75, 95% CI: 0.60-0.93, P=0.010) and alcohol consumption (OR_IVW=0.20, 95% CI: 0.05-0.83, P=0.026). The forward MR analysis (alcohol intake→PD) identified 235 SNPs, annotated to 316 genes, while the reverse MR analyses (PD→alcohol intake) identified 37 SNPs, annotated to 53 genes. Notably, only the RIT2 gene appeared in both the forward and reverse MR analyses (alcohol intake→PD: rs28597806, rs8083110; PD→alcohol intake: rs4588066). RIT2 is selectively expressed in the human brain (FPKM: 5.259±2.103), with low or no expression in peripheral tissues (FPKM: <1). Analysis of three human substantia nigra transcriptomic datasets revealed a decreasing trend in RIT2 gene expression in PD patients (GSE20141 array signal: 3.49±1.23 vs. 2.33±0.87, P=0.044). Animal experiments demonstrated that administration of 20% ethanol or 20% liquor (approximately 8% ethanol) stimulated a >2-fold upregulation of RIT2 gene expression in the mouse brain. Furthermore, transcriptomic sequencing revealed that the two alcohol-treated groups exhibited 96 (20% ethanol vs. water control) and 4 (20% liquor vs. water control) differentially expressed genes, respectively, indicating that low-dose alcohol consumption can achieve RIT2 upregulation while minimizing impact on other brain genes. In addition to its anti-infective effects, low-dose alcohol consumption primarily influences signaling pathways related to neurodegenerative diseases such as PD and Prion diseases. ConclusionAlcohol consumption is generally considered as a harmful lifestyle habit. However, some studies have also shown a lower risk of mortality among individuals who consume low doses of alcohol (100 g/week of ethanol) or drink occasionally. Currently, one of the research focuses on alcohol consumption is whether the human body can benefit from low-dose alcohol intake. This study provides new evidence supporting a negative association between alcohol consumption and PD, and for the first time, through MR analysis, identifies the RIT2 gene as a potential mediator of the effect of alcohol consumption on PD. RIT2 is selectively expressed in the human brain. Building upon existing evidence indicating downregulated RIT2 gene expression in PD pathogenesis, our experiments confirm that low-dose alcohol consumption can upregulate RIT2 expression in the brain. In brief, alcohol consumption may suppress the pathogenesis of PD by upregulating RIT2 expression in the substantia nigra. China is facing a serious problem of population aging. This study offers important insights for long-term PD prevention and treatment strategies, with the aim of benefiting more potential PD patients through lifestyle modifications, thereby improving the quality of life of the aging population and reducing the economic burden on healthcare.

ObjectiveTo clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology. MethodsThe ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture. ResultsBehaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01). ConclusionMETTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.

OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

ObjectiveTo investigate the role of Krüppel-like factor 4 （KLF4） in type 1 diabetic nephropathy （DN） and to elucidate its underlying mechanisms. MethodsSixteen male Sprague-Dawley （SD） rats were selected and randomly divided into control group and model group， with 8 rats in each group. Rats in model group were intraperitoneally injected with a single dose of 55 mg/kg streptozotocin （STZ） to establish a diabetic nephropathy （DN） model， while those in control group were injected with an equal volume of sodium citrate buffer at the same time. After successful model establishment， the serum levels of blood urea nitrogen （BUN） and serum creatinine （SCR） were determined. Hematoxylin-eosin （HE） staining was performed on renal tissues to observe pathological changes， and immunofluorescence staining was conducted to detect the expression of KLF4 in renal tissues. Lipid peroxidation levels were evaluated by measuring malondialdehyde （MDA）， Fe²⁺， and lipid peroxidation products in rat kidneys. A high glucose （HG）-induced cell injury model was established in HK-2 cells， with mitochondrial membrane potential assessed using 5，5'，6，6'-tetrachloro-1，1'，3，3'- tetraethylbenzimidazolylcarbocyanine iodide （JC-1） staining. Lipid peroxidation levels （MDA， Fe²⁺， and lipid peroxides） were measured in HK-2 cells.KLF4-overexpressing HK-2 cells were then constructed， followed by repeated JC-1， MDA， Fe²⁺， and lipid peroxidation assays. Western blot was performed to evaluate the expression of ferroptosis-related proteins including glutathione peroxidase 4 （GPX4）， nuclear factor erythroid 2-related factor 2 （NRF2）， and Kelch-like ECH-associated protein 1 （Keap1）， in renal tissues， HK-2 cells， and KLF4-overexpressing HK-2 cells. ResultsCompared with the control group， DN rats exhibited elevated serum BUN and SCR levels， glomerular hypertrophy， renal interstitial fibrosis， and decreased KLF4 expression. Additionally， MDA， Fe²⁺， and lipid peroxidation levels increased， indicating enhanced ferroptosis in renal tissues， accompanied by reduced GPX4 and NRF2 expression and elevated Keap1 levels. Similarly， HG-treated HK-2 cells showed decreased KLF4 expression， increased MDA， Fe²⁺ and lipid peroxidation， elevated ferroptosis， and dysregulated GPX4/NRF2/Keap1 expression. However， KLF4 overexpression reversed these alterations induced by high glucose treatment. ConclusionIn the renal tissues of type 1 diabetic rats， the expression of KLF4 decreases the level of ferroptosis increases， and KLF4 overexpression could alleviate HG-induced HK-2 cell injury.

ObjectiveTo evaluate the predictive value of epicardial adipose tissue （EAT） parameters for microvascular obstruction （MVO） formation in patients with ST segment elevation myocardial infarction （STEMI） using cardiac magnetic resonance quantification. MethodsA total of 139 STEMI patients were included in this study， and various parameters such as EAT thickness， volume， and mass index were measured utilizing cardiac magnetic resonance. All included patients were divided into MVO group and non-MVO group according to whether MVO occurred. Differences in EAT related parameters between two groups were compared and correlation analysis was applied to evaluate the correlation between quantitative indicators of EAT and indicators such as infarct size and ejection fraction. Logistic regression analysis was used to identify the relevant risk factors for MVO formation. Receiver Operating Characteristic （ROC） curve analysis was performed to assess the predictive value of the epicardial adipose tissue （EAT） quality index and other indicators for the occurrence of MVO. ResultsCompared with non MVO group， patients in MVO group presented with higher peak troponin T levels， increase of neutrophil lymphocyte ratio （NLR） and C-reactive protein （CRP）， larger infarct size and compromised left ventricular ejection fraction （LVEF） （P<0.05）. Total EAT volume， EAT mass index， left atrioventricular EAT volume， left atrioventricular EAT mass index and thickness of EAT in the left atrioventricular groove were significantly higher in patients with MVO. Multivariate Logistic regression analysis demonstrated that NLR， peak troponin T levels and left atrioventricular EAT mass index were independent predictors of MVO. The ROC curve suggested that the left atrioventricular EAT mass index had the highest predictive power for MVO formation in STEMI patients. ConclusionThe parameters of EAT quantified by cardiac magnetic resonance serve as imaging biomarkers for predicting MVO formation in STEMI patients. These metrics enable risk stratification post-myocardial infarction and facilitate early identification of high-risk individuals， thereby supporting personalized therapeutic decision-making.

Objective:To explore the clinical characteristics, diagnosis and treatment strategies, and prognosis of pulmonary embolism (PE) complicating childhood rheumatic diseases.Methods:A retrospective case series study was performed on the demographic data, laboratory indicators, imaging features, treatment regimens, and follow-up data of 8 children with rheumatic diseases complicated by PE who were admitted to the Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical University from January 2014 to October 2023.Results:Among the 8 children, there were 4 boys and 4 girls, with an age of 12.0 (7.5, 13.0) years. Among the primary diseases, there were 3 cases of systemic lupus erythematosus, 2 cases of Beh?et′s disease, 2 cases of Takayasu arteritis, and 1 case of antiphospholipid syndrome. All children developed PE during the active phase of the primary disease. PE was detected at the onset of the primary disease in 3 cases, and the median time from the diagnosis of the primary disease to the development of PE was 10.0 (6.0, 25.0) months in the remaining 5 cases. Fever was present in all 8 children, 4 cases were accompanied by chest tightness, dyspnea, etc., and 2 cases only presented with fever. Laboratory examinations revealed the following results: erythrocyte sedimentation rate was 42.0 (17.0, 78.0) mm/1 h, high-sensitivity C-reactive protein was 12.7 (2.6, 78.7) mg/L, white blood cell count was 9.6 (7.2, 18.7)×10 9/L; D-dimer was 2.3 (0.9, 6.2) mg/L; and hemoglobin was (109±16) g/L.Imaging examinations revealed that 5 cases had involvement of the bilateral lower pulmonary arteries, 5 cases had peripheral embolism, and 3 cases had central PE. Complications included 3 cases of deep vein thrombosis, 2 cases of intracranial venous sinus thrombosis, and 1 case of mild pulmonary hypertension.In terms of treatment, 7 cases received anticoagulation with heparin followed by warfarin. Immunomodulation was mainly based on glucocorticoids combined with immunosuppressants, and 4 cases were combined with biological agents. The follow-up time of 4.17 (1.75, 7.17) years, the time for complete absorption of PE was 10.5 (6.0, 18.0) months; all 8 children had no target events, with no recurrence or chronic thromboembolic pulmonary hypertension, and the pulmonary artery remodeling was good. Conclusions:PE complicating childhood rheumatic diseases is closely related to the activity of the primary disease. The clinical manifestations are insidious, with fever as the main symptom. Imaging examination is the key to diagnosis.Early adoption of heparin followed by warfarin anticoagulation and glucocorticoids combined with immunosuppressants and (or) biological agents to control the primary disease can achieve a favorable prognosis.

Optical microscopy is essential for exploring biological and material structures, with resolution determining the level of observable detail. The advent of super-resolution fluorescence microscopy has broken the diffraction limit, achieving nanoscale resolution. However, traditional assessment methods, such as the Rayleigh criterion and point spread function (PSF) width measurement, rely on empirical judgments and diffraction-limited models, rendering them inadequate for modern super-resolution imaging. This review systematically traces the evolution of resolution assessment methodologies, from classical criteria to advanced strategies tailored for various super-resolution modalities. We first discuss Fourier-based quantitative methods. Fourier ring correlation (FRC) and its 3D counterpart, Fourier shell correlation (FSC), objectively determine resolution by evaluating the statistical correlation of two independent image reconstructions in frequency space. These methods offer robustness against noise and provide a global resolution metric, but they require data independence and are computationally intensive. They have become the prevailing standards in electron and super-resolution microscopy. Subsequently, we examine adaptations for specific super-resolution techniques. For single-molecule localization microscopy (SMLM) techniques such as PALM and STORM, the Fourier image resolution (FIRE) method extends FRC by incorporating a physical model that accounts for localization precision and labeling density. For stimulated emission depletion (STED) microscopy and other nonlinear techniques, assessment strategies differ. While PSF shrinkage measurements using fluorescent beads are useful for system calibration, evaluating the effective resolution directly on biological samples is more practical. This is typically performed via linewidth analysis of known structures (e.g., microtubules) or edge-spread function measurements, capturing the effects of photobleaching and sample-induced aberrations. A major paradigm shift is parameter-free resolution estimation based on decorrelation analysis. This method analyzes the autocorrelation decay of a single image’s Fourier spectrum to identify the cutoff spatial frequency without requiring dual datasets or user-defined thresholds. Its high efficiency and broad applicability have been validated across widefield, confocal, STED, SIM, and SMLM modalities. Optimized rendering strategies for SMLM data further enhance its accuracy, and it is emerging as a tool for real-time optimization of experimental parameters. The review also addresses the “gold standard” of resolution validation using well-defined nanostructures, such as DNA origami and nuclear pore complexes, which provide ground truth for verifying resolution claims and detecting artifacts. In the era of artificial intelligence, deep learning plays a dual role: it powerfully enhances image resolution but also introduces challenges, as models may generate “hallucinations” or false details. This underscores the need for new validation metrics to verify the physical fidelity of AI-generated content. Finally, we outline future directions: developing unified cross-modality standards, enabling real-time dynamic resolution monitoring for live-cell imaging, creating techniques for generating local resolution maps to capture sample heterogeneity, and integrating intelligent error correction to ensure data veracity. By providing a comprehensive overview of resolution assessment progress and challenges, this review aims to equip researchers with the knowledge to select appropriate tools, thereby fostering rigorous quantitative imaging in the life and material sciences.