Background: Breast cancer is a common malignant tumor that has a high tendency to metastasis to the bone, leading to cancer-induced bone pain (CIBP). Ghrelin can not only stimulate appetite and regulate energy balance, but also alleviate CIBP by inducing NPY expression. Octanoic acid (OA), a type of medium chain fatty acids, provides an energy substrate and promotes acylation of ghrelin. However, it remains to be elucidated whether an OA-rich diet can alleviate CIBP by activating the acyl-ghrelin/NPY pathway. Methods: First, thirty-six Sprague–Dawley rats were randomly divided into the sham, CIBP, CIBP + OA (20), CIBP + OA (40), CIBP + OA (60) and CIBP + OA (80) groups to investigate the effects of diets with different ratios of OA on CIBP and the acyl-ghrelin/NPY pathway. Next, a ghrelin O-acyltransferase (GOAT) inhibitor was exogenously administered to investigate whether an OA-rich diet alleviated CIBP through increasing the level of acyl-ghrelin and activating the acyl-ghrelin/NPY pathway. Results: An OA-rich diet significantly alleviated nociceptive behaviors and increased the levels of acyl-ghrelin and NPY in a dose-dependent manner in cancer-bearing rats. With the exogenous administration of the GOAT inhibitor, the beneficial effects of an OA-rich diet on the acyl-ghrelin/NPY pathway and its pain-relieving effects were attenuated. Conclusions An OA-rich diet could alleviate CIBP through increasing the level of acyl-ghrelin and activating the acylghrelin/NPY pathway.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Objective To study the need for blood compatibility evaluation of medical devices that come into indirect contact with blood in order to accurately evaluate the risk of their interaction with blood.Methods Seven medical devices with indirect contact with blood were selected as samples including extension tubes of central venous catheters,port bodies of implantable drug delivery devices,infusion sets,receiving lines of dialysis equipment,auxiliary lines of left ventricular assist devices,blood monitors and catheter holders,with high-density polyethylene as the negative control,glass beads as the positive control and blank whole blood or plasma for the blank control.Partial thromboplastin time(PTT)test,platelet count test and hematology test(white blood cell and red blood cell count)were performed by direct contact method and indirect contact method,respectively.In the direct contact method,whole blood or plasma was in direct contact with the sample;while in the indirect contact method,whole blood or plasma was not in direct contact with the extraction solution,with no direct contact with the sample.Results With the indirect contact method the ratios(expressed as a percentage)of the PTT,platelate,WBC and RBC counts of the samples,positive and negative controls to those of the blank control were all higher than those with the direct contact method,and the indirect contact method had the sensitivity lower than that of the direct contact method.Conclusion Medical devices indirectly contacting blood have low risks for causing coagulation and platelet and hematologic adverse reactions,which are suggested to be evaluated for hemolysis testing only in case of the history of safe clinical use.[Chinese Medical Equipment Journal,2025,46(8):44-49]

Objective:To explore the association between pre-diabetes and glomerular hyperfiltration status in residents in China.Methods:The study subjects were the non-diabetes population in China Chronic Disease and Risk Factor Surveillance in 2018. According to the definition of prediabetes, the study subjects were divided into normoglycemic and pre-diabetes groups, and multivariate factorial logistic regression model was used to analyze the association between prediabetes and the risk for glomerular hyperfiltration and glomerular filtration rate decline, respectively. Restricted cubic spline was used to explore the dose-response relationship between different glycemic indexes and the risk for glomerular hyperfiltration.Results:A total of 129 735 eligible study subjects aged 18 to 74 years were included, including 45 336 persons with prediabetes. After adjusting for confounders, the OR for glomerular hyperfiltration in the prediabetes group was 1.26 (95% CI: 1.20-1.32) compared with the normoglycemic group, and prediabetes was not associated with decreased glomerular filtration rate ( OR=1.03, 95% CI: 0.96-1.12). Age-stratified results showed a 28% increase of risk for glomerular hyperfiltration in prediabetes group compared with normoglycemic group in those aged 18-59 year ( OR=1.28, 95% CI: 1.21-1.35), and a 15% increase of risk in old adults aged 60-74 years ( OR=1.15, 95% CI: 1.05-1.25); the risk for glomerular hyperfiltration in women with prediabetes ( OR=1.38, 95% CI: 1.29-1.47) was higher than that in men with prediabetes ( OR=1.14, 95% CI: 1.06-1.22); and the risk for prediabetes glomerular hyperfiltration was higher in those with insufficient physical activity ( OR=1.29, 95% CI: 1.22-1.36) than in those who were physically active ( OR=1.16, 95% CI: 1.04-1.29). Restricted cubic spline results showed that fasting plasma glucose, glycosylated hemoglobin and glomerular hyperfiltration risk all showed U-shaped associations, and 2 hours blood glucose glomerular hyperfiltration risk after taking sugar showed an approximate J-shaped association. Conclusions:The risk for glomerular hyperfiltration exists in the prediabetes population, and prediabetes is not associated with the decrease in glomerular filtration rate. Hyperglycemia control at an early and reversible stage is important to prevent glomerular hyperfiltration developing to hypofiltration and renal impairment.

Objective:To identify predictors of adverse pregnancy outcomes(APOs)in patients with systemic lupus erythematosus(SLE).Methods:A retrospective analysis was conducted on 318 SLE pa-tients who delivered at Peking University People's Hospital from May 2016 to September 2021.These pa-tients were categorized into two groups:The APOs group(n=85)and the non-APOs group(n=233).Various factors,including disease duration,clinical manifestations,laboratory parameters,and systemic lupus erythematosus disease activity index 2000(SLED AI-2000)scores,were analyzed for their associa-tion with APOs.SPSS 26.0 software was used to analyze the data.Results:The mean age of SLE pa-tients in this study was(24.65±5.26)years.Among the 318 pregnancies studied,302(302/318,94.97％)resulted in live births,while 16(16/318,5.03％)cases ended in stillbirths,with no neonatal deaths reported.Among the live births,206(206/302,68.21％)were full-term infants,65(65/302,21.52％)cases were small for gestational age(SGA),and 31(31/302,10.26％)cases were preterm.The SLEDAI-2000 scores were significantly higher in the APOs group compared with the non-APOs group(5.82±4.97 vs.3.74±3.72,t=4.019,P=0.001),suggesting greater disease activity as a risk fac-tor.Similarly,glucocorticoid doses were markedly higher in the APOs group[12.50(7.50,50.00)mg vs.10.00(5.00,15.00)mg,P＜0.001],underscoring the link between disease severity and APOs.Univariate analysis revealed that lupus nephritis(31.76％vs.21.03％,x2=3.946,P=0.047),throm-bocytopenia(24.71％vs.9.01％,x2=13.380,P＜0.001),hypocomplementemia(36.47％vs.26.03％,x2=4.847,P=0.028),antiphospholipid antibody positivity(20.00％vs.11.16％,x2=4.163,P=0.041),and absence of pregnancy treatment(21.18％vs.11.59％,x2=4.713,P=0.030)were associated with increased APOs risk.Multivariate Logistic regression identified thrombocyto-penia(OR=2.671,95％CI:1.309-5.449,P=0.007),hypocomplementemia(OR=1.935,95％CI:1.104-3.393,P=0.021),and antiphospholipid antibody positivity(OR=2.153,95％CI:1.054-4.399,P=0.035)as independent predictors of APOs.Conclusion:These findings highlight that certain clinical and laboratory features,including thrombocytopenia,hypocomplementemia,and antiphospholipid antibody positivity,are critical independent predictors of APOs in SLE patients.The study underscores the importance of close monitoring and proactive management of these risk factors to improve pregnancy outcomes in SLE patients.

Objective:To compare the differences in the evaluation of hemolysis performance of cellulose hemostatic materials using different detection methods and test media,and to explore a m ore reasonable testing plan for such products.Methods:Hemolysis tests were conducted on cellulose hemostatic materials using the absorbance measurement hemolysis method and hemoglobin concentration measurement hemolysis method in accordance with YY/T 1651.1-2019 standard.We compared the changes in hemolysis rate,pH value,and osmotic pressure under different experimental media.Results:Under the same experimental method,compared to SC,the hemolysis results using PBS as the extraction medium are smaller,and the changes in pH and osmotic pressure are closer to the normal range of human body changes.Conclusions:The changes in pH and osmotic pressure may be one of the reasons for the high hemolysis rate of cellulose hemostatic materials.Choosing PBS with buffering effect as the leaching medium may be more suitable for evaluating the hemolysis performance of cellulose hemostatic materials.

Objective:To investigate the trends in insulin resistance, as represented by the triglyceride-glucose index (TyG index), among Chinese adult residents from 2010 to 2018 and to explore influencing factors.Methods:China Chronic Disease and Risk Factor Surveillance was conducted in 2010, 2013, and 2018, using a multi-stage stratified cluster random sampling method across all 31 provinces (autonomous regions and municipalities) in China. This study sampled 98 712 adults in 2010, 176 534 adults in 2013, and 184 876 adults in 2018, all aged ≥18 years, totaling 406 933 participants. Individuals with a TyG index > P75 were classified as having insulin resistance. The mean TyG index and the prevalence of insulin resistance were calculated for different years, sexes, age groups, provinces (autonomous regions and municipalities), and subgroups for 2018. Linear and logistic regression models were used to test trends in means and rates over time, and multivariate logistic regression models were conducted to analyze potential factors associated with insulin resistance. All analyses were adjusted for complex sampling weights based on the study design. Results:From 2010 to 2018, the mean TyG index among Chinese adults increased from 8.44±0.63 to 8.70±0.64, with significant upward trends observed across different age groups, sexes, and urban-rural residencies (all P<0.001). The mean TyG index was higher among males, urban residents, and those aged 45-59. There were significant differences in the mean TyG indices and prevalence of insulin resistance across provinces (autonomous regions and municipalities) (all P<0.05). Higher insulin resistance prevalence was independently associated with being male, aged ≥45 years, living in urban areas, excessive alcohol consumption, and insufficient physical activity (all P<0.05). Conclusions:From 2010 to 2018, the level of insulin resistance, as indicated by the TyG index, showed an increasing trend among Chinese adults. Males, individuals aged ≥45 years, urban residents, and individuals with unhealthy lifestyles such as excessive alcohol consumption or insufficient physical activity should be the focus of efforts to prevent and control metabolic diseases related to insulin resistance.

Objective:To investigate the prevalence of sexual drug use in men who have sex with men (MSM) in Chengdu and analyze the relationship between depression and sexual drug use.Methods:A total of 1 277 MSM were recruited between November 2021 and May 2022. Questionnaire was used to collect information about their demographic characteristics, depression status and sexual drug use behavior. Univariate and multivariate logistic regression models were used to analyze the relationship between depression and sexual drug use.Results:In the 1 277 MSM, assessment identified 503 mild depression cases (39.4%), 196 moderate depression cases (15.3%) and 171 severe depression cases (13.4%) and 444 MSM (34.8%) reported sexual drug use in the past 6 months. Multivariate logistic regression models showed that compared with non-depression, mild depression (a OR=1.67,95% CI:1.24-2.23), moderate depression (a OR=1.50,95% CI: 1.02-2.19) and severe depression (a OR=1.56,95% CI:1.04-2.32) were positively associated with sexual drug use. Conclusions:The prevalence of depression and sexual drug use were high in MSM in Chengdu. There was a positive correlation between depression and sexual drug use. It is necessary to pay close attention to depression and sexual drug use and conduct targeted intervention in MSM.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.