Objective: To explore the relationship between serum homocysteine (Hcy), interleukin-5 (IL-5), folate and core symptoms in children with autism spectrum disorders, so as to provide potential biomarkers for early diagnosis and intervention of diseases. Methods: A total of 106 children with autism spectrum disorders and 106 healthy children with matched sex and age in Lu an People s Hospital were enrolled as autism group and healthy group between May 2020 to December 2023. On the day of admission, levels of serum Hcy, IL-5 and folate were detected. The core symptoms in autism group were evaluated by Autism Behavior Checklist (ABC), Wechsler Preschool and Primary Scale of Intelligence-fourth edition(WPPSI-IV), Childhood Autism Rating Scale (CARS) and Social Responsiveness Scale (SRS). The levels of serum Hcy, IL-5 and folate in the two groups were compared by t- test. The relationship between serum Hcy, IL-5, folate and core symptoms in children with autism spectrum disorders was determined by Pearson correlation analysis. Results: The levels of serum Hcy and IL-5 in autism group were (7.48±0.32) μmol/L and (345.77±32.51) pg/mL, higher than those in healthy group [(6.11±0.54) μmol/L, (274.04±25.17) pg/mL], while folate level was lower than that in healthy group [(15.24±3.47) ng/mL, (22.51±4.69) ng/mL], the differences were statistically significant ( t =22.47, 17.96, 12.83, all P < 0.05 ). In autism group, levels of serum Hcy and IL-5 were positively correlated with scores of ABC, CARS and SRS ( r =0.29, 0.53 , 0.54; 0.45, 0.41, 0.50), while negatively correlated with WPPSI-IV score ( r =-0.28, -0.26)(all P <0.05). The folate level was negatively correlated with scores of ABC, CARS and SRS ( r =-0.55, -0.40, -0.25), while positively correlated with WPPSI-IV score ( r =0.41) (all P <0.05). Conclusion Children with ASD show elevated serum Hcy and IL-5 alongside decreased folate,and three markers correlate with core symptoms and intellectual level.

BACKGROUND AND OBJECTIVE

In 2018, the Philippine Congress passed the Universal Healthcare (UHC) Law and its implementing rules which mandated the enrollment of all Filipinos to PhilHealth, the national social health insurance corporation. The Department of Health (DOH) and PhilHealth will leverage their strategic purchasing power by affiliating Health Care Provider Networks (HCPNs), established within the geopolitical boundaries of a province or a highly urbanized city, through service level agreements. This study aims to shed light on what is expected from providers, payers, and regulators to implement UHC successfully.

The researchers conducted an inductive, content analytic qualitative study guided by the World Health Organization’s (WHO) Building Blocks Framework to determine the understanding and acceptance of the implementing rules of the UHC Law and the perceived barriers and enablers from the provider, payer, and regulator stakeholders in three provinces in the Philippines. Purposive sampling was utilized to provide the best representation across different economic and physical settings. A content analysis was done through an inductive process of coding concepts, which was the basis for categories grouped and matched deductively with the WHO framework. This formed the broader sub-themes and were used for the final data interpretation.

A total of 16 focus group discussions (FGDs) and nine in-depth interviews (IDIs) were performed with 84 participants. Inductive thematic analysis of categories and subcategories showed that the participants support the goals and objectives of the UHC Law. Still, perceived barriers refer to the lack of and improper use of funds, the need to clarify the implementing guidelines, and the role of politics. The participants indicated that solidarity and social connectedness with health system adaptability and resilience are enablers for the success of UHC reforms.

Proposals to mitigate the barriers include expanding the funding source, clarifying rules on the f inancial management system, and providing guidelines on health delivery integration to ensure access to patient care. Decentralization with autonomy will allow the stakeholders to align health programs with local needs. Proper representation in decision-making bodies is desirable to establish strong community involvement and solidarity. Resilience and adaptability based on a feedback loop are imperative.

[摘 要] 目的：探讨蟾毒灵（BU）对肿瘤相关巨噬细胞（TAM）介导的结直肠癌（CRC）细胞程序性死亡蛋白-配体1（PD-L1）表达的调控作用及其分子机制。方法：采用HCT116细胞与THP-1来源巨噬细胞构建体外共培养体系。佛波酯（PMA）诱导THP-1细胞分化为M0型巨噬细胞，进一步以HCT116细胞条件培养基（CM）刺激形成TAM样细胞。流式细胞术检测CD11b、CD206表达，以评价巨噬细胞极化水平；RT-qPCR及WB法检测TGF-β、IL-10、STAT3/p-STAT3及PD-L1表达变化；慢病毒转染构建STAT3敲低细胞系HCT116sh-STAT3，结合BU干预验证STAT3/PD-L1信号通路作用。结果：HCT116细胞CM可诱导巨噬细胞向M2表型极化，表现为CD11b⁺CD206⁺细胞比例升高（P < 0.01）及TGF-β、IL-10表达增加（均P < 0.001）。TAM条件培养基可显著促进HCT116细胞STAT3磷酸化（P < 0.001）并上调PD-L1 mRNA及蛋白表达水平（P < 0.001或P < 0.01）。BU干预后，TAM介导的STAT3磷酸化水平明显下降，PD-L1表达同步下调（均P < 0.01）。STAT3敲低可降低PD-L1表达，其作用趋势与BU一致。结论：BU可通过抑制TAM介导的STAT3信号激活，下调CRC细胞PD-L1表达，提示其在肿瘤免疫微环境调控中具有潜在的应用价值。

Sclerosing odontogenic carcinoma (SOC) is an extremely rare disease which is a low-grade malignancy. There are no typical symptoms in the early stage and it is easily ignored. Patients often seek medical attention because the tumor compresses the respiratory tract at the bottom of the mouth or causes facial/voice changes. This disease has many similarities with clear cell odontogenic carcinoma, calcifying epithelial odontogenic tumor with Langerhans cells, mandibular sclerosing osteomyelitis and other diseases in clinical manifestations, imaging and pathological examination, which interferes with early diagnosis. Through literature review, this paper summarizes the progress of diagnosis and treatment of SOC in order to provide reference for clinical diagnosis and treatment.

Objective : To investigate the relationship between lower limb alignment and knee functional gait after total knee arthroplasty (TKA) for varus knee deformity. Methods: A total of 94 patients with knee osteoarthritis and varus deformity underwent mechanically aligned TKA. The knee society score ( KSS) , hip⁃knee⁃ankle angle (HKA) , medial proximal tibial angle ( mMPTA) , and gait parameters ( step length , gait speed , cadence , thigh jerk acceleration , and thigh swing work) were assessed preoperatively and one month postoperatively. The correlation between KSS scores and changes in lower limb alignment was also analyzed. Results: The KSS clinical score of the operated knee significantly improved from 39. 19 ± 9. 55 preoperatively to 73. 01 ± 6. 90 postoperatively (P <0. 001) . The KSS functional score increased from 41. 12 ± 10. 66 to 56. 33 ± 7. 41(P < 0. 001) . Postoperative gait analysis revealed significant improvements in step length , gait speed , cadence , and thigh swing work ( P <0. 001) , while thigh jerk acceleration showed no significant change (P = 0. 525) . The HKA angle of the affected limb increased from 170. 61 ± 4. 39 preoperatively to 177. 30 ± 3. 49 postoperatively ( P < 0. 001) . Similarly , the mMPTA angle increased from 83. 95 ± 3. 32 to 89. 15 ± 1. 94 (P < 0. 001) . Correlation analysis indicated that The KSS clinical score was positively correlated with HKA ( P < 0. 001) and mMPTA ( P < 0. 05 ) of the lower limb force line. The KSS functional score was positively correlated with HKA (P < 0. 05) but not with mMPTA (P > 0. 05) . Conclusion In patients with severe knee osteoarthritis due to varus deformity , TKA significantly alleviates pain and improves both clinical and functional KSS scores within one month postoperatively. Restoring lower limb mechanical alignment is positively associated with joint functional recovery and enhances gait performance.

Heritable aortic disease (HAD) is characterized by thoracic aortic aneurysm/dissection with strong genetic predisposition and high clinical phenotypic heterogeneity. HAD is one of the main causes of sudden death. Early diagnosis of this disease is difficult because of atypical clinical symptoms, leading to the deterioration of disease with the development of aortic aneurysm, aortic dissection or sudden death. Genetic testing plays an important role in the early diagnosis, standardized follow-up, screening of family members, genetic counseling and individualized treatment of HAD. This review focused on the application of genetic testing in the standardized diagnosis and treatment of HAD.

Objective To establish and validate the diagnostic model of ferroptosis genes for acute myocardial infarction (AMI) based on bioinformatics. Methods Five AMI gene expression data were obtained from Gene Expression Omnibus (GEO), namely GSE66360, GSE48060, GSE60993, GSE83500, GSE34198. Among them, GSE66360 was used as the training set to perform differential analysis, and intersection of differential genes and ferroptosis genes was taken to obtain differentially expressed ferroptosis genes in AMI. GO and KEGG enrichment analyses were performed using Metascape website. Subsequently, random forest (RF) algorithm was used to screen out key genes with high classification performance according to the Keeny coefficient score, and artificial neural network (ANN) diagnostic model of AMI ferroptosis feature gene was constructed by model group GSE83500. The area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation was used to evaluate the performance and generalization ability of the model, and 3 external independent datasets were used to verify the diagnostic performance of this model. The single sample gene set enrichment analysis was used to explore the difference in immune cell infiltration between infarcted myocardium and normal myocardium after AMI. In addition, correlation analysis between immune cells and key genes was also conducted. Finally, potential drugs that would prevent and treat AMI by regulating ferroptosis were screened out from the Coremin Medical platform. Results A total of 16 differentially expressed ferroptosis genes were obtained in the training set, GO enrichment analysis showed that they mainly participated in biological functions such as cellular response to biological stimuli and chemical stress, and regulation of interleukin 17. KEGG enrichment analysis showed that these genes were significantly enriched in NOD-like receptor signaling pathway, programmed cell necrosis, Leishmaniasis and other pathways. Four genes with good classification performance were screened out using RF algorithm, namely EPAS1, SLC7A5, FTH1, and ZFP36. The results of 10-fold cross-validation showed that the minimum AUC value was 0.746, the maximum value was 0.906, and the average value was 0.805. The AUC of the ANN model was 0.859, and the AUC values of the three independent validation sets were 0.763 (GSE48060), 0.673 (GSE60993), 0.698 (GSE34198). Immune cell infiltration found that macrophages, mast cells and monocytes were significantly active after AMI. Correlation analysis found that there were positive correlations between 4 key genes and activated dendritic cells, eosinophils and γδT cells. A total of 20 potential western medicines were predicted which could prevent and treat AMI by regulating ferroptosis, and the predicted potential Chinese medicine was mainly heat-clearing and detoxifying and blood-activating and removing blood stasis drugs. Conclusion The identified AMI ferroptosis genes by bioinformatics method have certain diagnostic significance, which provides a reference for disease diagnosis and treatment.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

Objective To investigate the correlation between insulin resistance and interleukin-6 (IL-6), chemerin, total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) ratio, triglyceride (TG)/HDL-C ratio, low density lipoprotein cholesterol (LDL-C)/HDL-C ratio and insulin resistance in obese patients with type 2 diabetes mellitus (T2DM), and to provide scientific basis for T2DM prevention and control. Methods A total of 355 obese T2DM patients in Songjiang Hospital Affiliated to Shanghai Jiaotong University School of Medicine were selected from January 2021 to December 2023. IL-6, chemerin and lipids were detected, and the assessment of insulin resistance was conducted through the homeostasis model assessment of insulin resistance (HOMA-IR). Results Among the 355 obese T2DM patients, there were 280 cases of insulin resistance, with the incidence rate of 78.87%. The BMI, IL-6, chemerin, TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C in the insulin resistance group were higher than those in the non-insulin resistance group (P<0.05). The above insulin resistant patients were divided into 4 subgroups by means of insulin resistance, and there were significant differences in BMI, IL-6, chemerin, and TG/HDL-C among the subgroups (P<0.05). IL-6, chemerin, and TG/HDL-C were positively correlated with HOMA-IR in obese T2DM patients (P<0.05), while TC/HDL-C and LDL-C/HDL-C had no significant correlation with HOMA-IR (P>0.05). BMI, IL-6, chemerin, and TG/HDL-C were all influencing factors of insulin resistance in obese T2DM patients (P<0.05). Conclusion IL-6, chemerin and TG/HDL-C are correlated with insulin resistance in obese patients with T2DM and are influencing factors for the occurrence of insulin resistance.

Objective: To explore the association between maternal lipid levels during pregnancy and the risk of overweight and obesity in offspring at 3 years of age, providing scientific evidences for the prevention and control of childhood obesity. Methods: A total of 2 432 mother-child pairs with maternal lipid tests during pregnancy and offspring s physical growth data at 3 years of age were included from the Borin in Guangzhou Cohort Study up to September 2021. Lipid indicators, including high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol(LDL-C), triglycerides (TG), and total cholesterol (TC), were measured at 13-19 +6 weeks (mid pregnancy) and 32-39 +6 weeks (late pregnancy). Children s body mass index (BMI) Z score were calculated according to the World Health Organization s growth standards for children under 5 years old. The lipid Z score were divided into four quartiles: Q 1, Q 2, Q 3 and Q 4. Linear regression was used to analyze the relationship between maternal lipid levels during pregnancy and offspring’s BMI Z score at 3 years of age. Poisson regression with a robust error variance was employed to evaluate the association between maternal lipid levels during pregnancy and the at risk of overweight and obesity in offspring at 3 years of age, after adjusting for maternal age at conception, education level, parity, pre pregnancy BMI and gestational diabetes mellitus. Results: There was a statistically significnt difference in the detection rate of overweight and obesity risk among children with different mothers s pre pregnancy BMI ( χ 2=22.85, P <0.05). Linear regression analysis showed that TG levels in late pregnancy were positively related to BMI Z score ( β=0.10, 95%CI=0.02-0.18, P <0.05). Poisson regression with a robust error variance indicated that, compared with the Q 1 group of TC, the Q 4 group of TC in mid pregnancy was associated with an increased risk of overweight and obesity in offspring at 3 years of age ( RR=1.59, 95%CI =1.04-2.44); compared with the Q 1 group of TG, the Q 4 group of TG during late pregnancy increased the risk of overweight and obesity in offspring at 3 years of age ( RR=1.79, 95%CI =1.02-3.12) (both P <0.05). Conclusions Maternal serum TC level during mid pregnancy can increase the risk of overweight and obesity in offspring at 3 years of age. Maternal serum TG levels during late pregnancy is positively correlated with BMI and the risk of overweight and obesity in offspring at 3 years of age.