Background Climate change poses a significant threat to public health. In China, relevant health intervention research is still in its early stages, and evidence for evaluating the effectiveness of regional climate change health adaptation strategies and measures is scarce. Objective To investigate the level of climate change-related health literacy among residents in Shenzhen, implement targeted health interventions, and assess the intervention effects as well as their influencing factors. Methods From July 2023 to January 2024, 4 communities were randomly selected in Shenzhen, and a total of 896 community residents were enrolled and divided into an intervention group (444 participants) and a control group (452 participants). Baseline and follow-up surveys on climate change-related health literacy were conducted among residents for both groups. During the period between the two surveys, the intervention group received targeted health interventions. Health literacy—comprising 3 dimensions: basic health knowledge and concepts, basic health skills, and healthy lifestyles—was defined as achieving ≥80% of the total score. A differences-in-differences model was adopted to analyze the impact of the intervention, and multiple linear regression was used to explore the factors influencing the intervention effect. Results The baseline survey showed that 240 out of the 896 surveyed residents (26.79%) possessed climate change health literacy. For the 3 dimensions, the number of residents and the proportions with corresponding literacy in descending order were: basic health skills (521, 58.15%), healthy lifestyles (345, 38.50%), and basic health knowledge and concepts (44, 4.91%). After the intervention, the intervention group showed a 3.19% increase in the total health literacy score, a 3.55% increase in basic health knowledge and concepts, and a 4.24% increase in basic health skills (t=2.79, 2.77, and 2.47 respectively) (P<0.05). No significant change was observed in healthy lifestyle scores (t=0.70, P>0.05). Further analysis showed that awareness of the “dual carbon goals” and occupation were significantly associated with the intervention effect on overall health literacy (P<0.05). For basic health knowledge and concepts, occupation, history of chronic diseases, and awareness of the “dual carbon goals” had statistically significant effects on the intervention outcomes (P<0.05). Regarding basic health skills, awareness of the “dual carbon goals” significantly influenced the intervention effect (P<0.001). In terms of healthy lifestyles, gender, educational level, occupation, and awareness of climate change were significantly associated with the intervention effect (P<0.05). Conclusion The climate change-related health literacy among community residents in Shenzhen is in urgent need of improvement. Health interventions can effectively enhance residents' basic health knowledge and concepts, basic health skills, and overall literacy level. In the future, it is necessary to strengthen the popularization of climate change health knowledge based on different population characteristics and further optimize intervention strategies, to comprehensively improve residents' health adaptation capacity to climate change.

BACKGROUND/OBJECTIVES: A 5:2 intermittent fasting (IF) program is an effective dietary intervention for patients who are overweight or obese, but the effects of a 5:2 IF diet on the Chinese population are unclear. This study examined the impact of a modified 5:2 IF dietary intervention on Chinese adults who were overweight or obese. SUBJECTS/METHODS: In this self-controlled clinical trial, 45 overweight or obese participants received a modified 5:2 IF dietary intervention for 24 weeks. The body weight, body mass index (BMI), waist circumference (WC), glycolipid metabolism indicators, adipokines, and inflammatory factors were measured in all participants at weeks 0 and 24. The changes in body weight and glycolipid metabolism indicators were the primary outcomes. Serum metabolomics analysis was conducted to identify the differences in metabolites and potential metabolic pathways after dietary intervention. RESULTS: Thirty-one participants completed the trial and were included in the final analysis.After 24 weeks of a modified 5:2 IF dietary intervention, the participants showed significant decreases in the BMI, WC, body weight, levels of fasting plasma glucose, fasting plasma insulin, total cholesterol, low-density lipoprotein-cholesterol, interleukin 6, tumor necrosis factor-alpha, alanine aminotransferase, and uric acid (all P < 0.05). Moreover, serum metabolomics analysis identified several significantly altered metabolites and metabolic pathways, including pyruvic acid, alpha-ketoisovaleric acid, ammonia recycling, and glutamate metabolism. CONCLUSION A modified 5:2 IF dietary intervention significantly reduced the body weight in Chinese adults who were overweight or obese.

The combination of radiotherapy and immunotherapy is not merely a superposition of therapeutic effects but rather a dynamic competition involving radiation-induced damage, tissue repair programs, and antitumor immune amplification. Accumulating evidence indicates that heme metabolism does more than supply prosthetic groups. It acts as a critical interface connecting radiation stress, mitochondrial homeostasis, redox imbalance, iron metabolism, and tumor immune remodeling. Focusing on the "radiation-heme-immunotherapy" axis, this review systematically examines how radiation reshapes the heme synthesis-degradation network via reactive oxygen species (ROS) bursts, Nrf2/BACH1 responses, mitochondrial damage, and disruption of iron homeostasis. In turn, these changes reprogram the cGAS-STING-type I interferon axis, myeloid cell polarization, T-cell function, and the hypoxic/stromal state of the tumor microenvironment. We pay special attention to the functional paradox of heme oxygenase-1 (HO-1): it protects normal tissues from radiation injury yet promotes tumor tolerance. We propose that HO-1 outcomes are not determined solely by its expression level but are collectively shaped by the expressing cell type, the intensity and duration of induction, subcellular localization, and the microenvironmental context. Accordingly, HMOX1/HO-1 and related heme metabolic features may serve as novel biomarkers for patient stratification and sensitization of radioimmunotherapy combinations. The key to its clinical translation lies in establishing detection systems with spatial and temporal resolution and developing localized, temporally sequenced, and population-selective targeted therapeutic strategies.

OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To learn about the levels of 25-hydroxy vitamin D (25-OH VD), TBNK lymphocyte subsets, and cytokines in peripheral blood of patients with brucellosis.Methods:A prospective design was adopted, one hundred patients with brucellosis admitted to the Department of Infectious Diseases, Beidahuang Industry Group General Hospital from May 2024 to February 2025 were selected as the brucellosis group, and one hundred healthy individuals who underwent physical examinations at the hospital during the same period were selected as the control group. The peripheral blood 25-OH VD levels were detected by chemiluminescence method. Further, 100 patients with brucellosis were divided into a brucellosis combined with osteoarthritis group (74 cases) and a brucellosis without osteoarthritis group (26 cases). Flow cytometry was used to detect the counts of peripheral blood TBNK lymphocyte subsets and cytokine levels. Meanwhile, Spearman rank correlation was used to analyze the correlation between peripheral blood 25-OH VD levels and TBNK lymphocyte subsets counts as well as cytokine levels in patients with brucellosis complicated by osteoarthritis.Results:The peripheral blood 25-OH VD level in the brucellosis group [20.31 (15.74, 24.35) ng/ml] was significantly lower than that of the control group [25.18 (21.13, 29.59) ng/ml], and the difference was statistically significant ( Z = - 5.07, P < 0.001). The peripheral blood 25-OH VD level [18.05 (13.79, 23.74) vs 22.43 (19.93, 28.25) ng/ml], CD4 + T cell count [(860 ± 275) vs (1 036 ± 376) cells/μl], and interleukin (IL)-6 levels [4.17 (2.14, 9.41) vs 7.83 (5.97, 11.34) ng/L] in the brucellosis combined with osteoarthritis group were significantly lower than those in the brucellosis without osteoarthritis group ( Z/t = - 2.88, 2.20, - 2.85, P = 0.004, 0.035, 0.004). Correlation analysis showed that the peripheral blood 25-OH VD level in patients with brucellosis complicated by osteoarthritis was positively correlated with the counts of CD45 +, CD3 + T, CD4 + T, CD8 + T, and natural killer cells ( r = 0.31, 0.26, 0.25, 0.25, 0.25, P = 0.007, 0.027, 0.032, 0.031, 0.032), and negatively correlated with IL-17A level ( r = - 0.40, P < 0.001). Conclusion:Patients with brucellosis have insufficient 25-OH VD, and those with osteoarthritis have lower 25-OH VD level, CD4 + T cell count, and IL-6 level than those without osteoarthritis.

Objective This study aimed to investigate the regulatory effect of electroacupuncture(EA)intervention on the protein kinase B(Akt)/mammalian target of rapamycin(mTOR)/hypoxia-inducible factor 1α(HIF-1α)signaling pathway in the hippocampal tissue of Alzheimer's disease(AD)model mice and its effect on astrocytic glycolytic function,further exploring how EA ameliorates AD-related cognitive impairment.Methods Eighteen APP/PS1 mice were randomly divided into model,EA,and sham EA groups(n=6)using the random number table method.Six wild-type C57BL/6J mice served as the control group.The EA group received EA stimulation at acupoints"Shenshu"(BL23),"Baihui"(GV20),and"Zusanli"(ST36)(administered every other day,20 min per session,for 4 weeks).The sham EA group received identical needle insertions at the same acupoints without electrical stimulation.The control and model groups were only restrained.Cognitive function was assessed using the Morris water maze and Y-maze spontaneous alternation tests.Hippocampal morphology was observed via hematoxylin and eosin staining.Hippocampal β-amyloid peptide 1-42(Aβ1-42)deposition was detected using immunohistochemistry.HIF-1α protein expression,the p-Akt/Akt,and p-mTOR/mTOR ratios were measured using Western blotting.Pyruvate kinase M2(PKM2)and lactate dehydrogenase A(LDHA)activities were quantified using enzyme-linked immunosorbent assay.Hexokinase(HK)activity and L-lactate content were determined using a colorimetric assay.Co-localization of LDHA with the astrocyte marker glial fibrillary acidic protein was quantitatively analyzed using immunofluorescence double-labeling combined with Pearson's correlation coefficient.Results Compared with the control group,the model group mice exhibited cognitive decline,as shown by prolonged escape latency(P<0.01),reduced number of platform crossings,lower time spent in the target quadrant,and decreased spontaneous alternation accuracy(P<0.01).The hippocampal neurons showed cell body swelling,deeper nuclear staining,enlarged intercellular spaces,and increased average optical density of Aβ1-42(P<0.01).The p-Akt/Akt and p-mTOR/mTOR ratios,as well as HIF-1α protein expression,were elevated(P<0.01).PKM2,LDHA,HK,and L-lactic acid levels were significantly increased(P<0.01),and the co-localization coefficient of LDHA with astrocytes was enhanced.Compared to the model group,the EA group of mice showed improved cognitive function.The hippocampal neurons had more intact structures,with a more uniform cell distribution.The average optical density of Aβ1-42 decreased(P<0.01),and the p-Akt/Akt and p-mTOR/mTOR ratios,as well as HIF-1α protein expression,decreased(P<0.01).PKM2,LDHA,HK,and L-lactic acid levels decreased(P<0.05),and the co-localization coefficient of LDHA with astrocytes significantly decreased(P<0.01).No significant improvement was observed in any of the indicators in the sham EA group compared with the EA group.Conclusion EA at"Shenshu"(BL23),"Baihui"(GV20),and"Zusanli"(ST36)ameliorates cognitive dysfunction in AD model mice.The underlying mechanism may involve suppressing the overactivation of the hippocampal Akt/mTOR/HIF-1α signaling pathway,thereby downregulating key glycolytic enzyme activities and reducing abnormal lactate accumulation.Furthermore,the astrocytic glycolytic metabolic pathway may constitute a key therapeutic target for this intervention.

Objective:To explore the diagnostic value of serum soluble semaphorin 4D (sSema4D) and soluble CD40 ligand (sCD40L) in left ventricular hypertrophy (LVH) in patients with primary hypertension (EH).Methods:Eighty-four patients with EH combined with LVH admitted to Qingdao Hospital of Shandong First Medical University from December 2022 to December 2023 were prospectively selected as the study group, and 84 patients with EH and without LVH admitted to Qingdao Hospital of Shandong First Medical University during the same period were regarded as the control group. Enzyme linked immunosorbent assay was applied to detect the levels of sSema4D and sCD40L. Employing Pearson correlation coefficient, the study assessed the association between concentrations of sSema4D and sCD40L in serum and various echocardiographic measurements. A multivariate Logistic regression model was engaged to probe into the contributing factors for the development of LVH. ROC curve was plotted to analyze the diagnostic value of serum sSema4D and sCD40L for EH combined with LVH.Results:Serum sSema4D and sCD40L levels were significantly higher in the study group than in the control group: (8.56 ± 2.19) μg/L vs. (5.12 ± 1.43) μg/L, (4.02 ± 1.03) μg/L vs. (3.22 ± 0.98) μg/L, and the differences were statistically significant ( P<0.05). The duration of hypertension, LVEDD, IVSTD, LVPWT, and LVMI were significantly higher in the study group than in the control group: (7.33 ± 1.53) years vs. (4.26 ± 1.35) years, (50.28 ± 3.33) mm vs. (44.45 ± 3.76) mm, (11.64 ± 3.21) mm vs. (9.53 ± 2.89) mm, (12.45 ± 1.52) mm vs. (9.13 ± 0.98) mm, (126.11 ± 15.28) g/m 2 vs. (81.15 ± 11.31) g/m 2, and the differences were statistically significant ( P<0.05). According to Pearson correlation analysis, it was known that both serum sSema4D and sCD40L were positively correlated with LVEDD, IVSTD, LVPWT and LVMI ( r = 0.425 and 0.533, 0.612 and 0.436, 0.513 and 0.628, 0.589 and 0.618; P<0.05). Multivariate Logistic regression analysis showed that hypertension duration, LVEDD, IVSTD, LVPWT, LVMI, sSema4D, sCD40L were risk factors for LVH in EH patients ( P<0.05). According to the ROC curve, the AUC for diagnosing EH combined with LVH with serum sSema4D was 0.848, the AUC for diagnosing EH combined with LVH with serum sCD40L was 0.725, and the AUC for diagnosing EH combined with LVH with serum sCD40L was 0.888, the combination of sCD40L and sCD40L was superior to their respective individual diagnoses ( Z = 2.651 and 2.526, P<0.05). Conclusions:The serum levels of sSema4D and sCD40L in patients with EH combined with LVH are obviously elevated, which are influencing factors for the occurrence of EH combined with LVH. Combined testing of the two has high diagnostic value for EH combined with LVH.