Objective:To explore the efficacy and safety of combining targeted therapy and immunotherapy with standard chemotherapy in patients with advanced pancreatic cancer.Methods:This is a single-center retrospective cohort study. A total of 123 patients with advanced pancreatic cancer who received first-line systemic treatment at the Second Hospital of Hebei Medical University between January 2022 and December 2024 were retrospectively enrolled. There were 65 males and 58 females,with a mean age of (65.1±10.1) years (range:22 to 88 years). According to whether targeted therapy combined with immunotherapy was added to chemotherapy,patients were divided into a triplet group ( n=46) and a standard chemotherapy group ( n=77). The primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included radiological efficacy indicators (objective response rate (ORR), disease control rate (DCR),clinical benefit rate,etc.) and treatment-related adverse events. Propensity score matching (PSM,caliper=0.2) was used to balance baseline characteristics between groups. Kaplan-Meier curves were used to estimate survival,and Cox regression models were applied to analyze factors influencing OS and PFS. Results:In the original cohort,the median OS was 11 months in the triplet group and 8 months in the chemotherapy group,with no statistically significant difference ( P=0.056). The median PFS was 5 months in the triplet group and 3 months in the chemotherapy group,also without statistical significance ( P>0.05). Multivariate Cox regression analysis indicated that the triplet regimen was an independent prognostic factor for both OS and PFS ( P<0.05). After PSM,baseline balance between groups was good. The median OS was 10.0 months in the triplet group and 7.0 months in the chemotherapy group, with no significant difference ( P=0.094). In terms of efficacy, the ORR was 26.1% (12/46) in the triplet group versus 7.8% (6/77) in the chemotherapy group,with a statistically significant difference ( χ2=6.320, P=0.012). The DCR was 54.3% (25/46) in the triplet group and 33.8% (26/77) in the chemotherapy group,also statistically significant ( χ2=4.214, P=0.037). The incidence of adverse events was similar between groups,mostly grade 1 to 2. Conclusions:The triplet regimen of chemotherapy,targeted therapy,and immunotherapy shows potential in improving efficacy and prolonging survival with acceptable safety in patients with advanced pancreatic cancer. However, its definitive benefits require further investigation.

Objective To explore the relationship between levels of retinol binding protein (RBP) and lipoprotein (a) [Lp(a)], and obesity and the occurrence risk of cardiovascular disease in population with prehypertension (PH). Methods A total of 301 patients with PH who were admitted to the First Affiliated Hospital of Anhui University of Science and Technology for physical examination from July 2021 to July 2024 were selected as the study subjects. The levels of serum RBP and Lp(a) were determined, and the waist circumference (WC) and body mass index (BMI) were measured to evaluate the obesity of patients. All patients were followed up. According to whether cardiovascular disease occurred during the follow-up period, they were classified into a study group (with cardiovascular disease) and a control group (without cardiovascular disease). The effects of serum RBP and Lp(a) levels, WC and BMI on the risk of cardiovascular disease were analyzed. Results The follow-up results showed that 53 out of 301 cases developed cardiovascular disease. The levels of RBP, Lp(a), WC, and BMI in the study group were higher than those in the control group (P<0.05). Receiver operating characteristic curve revealed that the areas under the curves of RBP, Lp(a), WC, and BMI for predicting the cardiovascular disease were 0.823, 0.741, 0.768, and 0.841, respectively. Serum RBP, Lp(a), WC, and BMI were influencing factors of the occurrence of cardiovascular disease (P<0.05). Conclusion RBP, Lp(a), WC, and BMI are the influencing factors for the occurrence of cardiovascular disease in patients with prehypertension. These four indicators have certain predictive value on the occurrence of cardiovascular disease.

Objective:To explore the efficacy and safety of combining targeted therapy and immunotherapy with standard chemotherapy in patients with advanced pancreatic cancer.Methods:This is a single-center retrospective cohort study. A total of 123 patients with advanced pancreatic cancer who received first-line systemic treatment at the Second Hospital of Hebei Medical University between January 2022 and December 2024 were retrospectively enrolled. There were 65 males and 58 females,with a mean age of (65.1±10.1) years (range:22 to 88 years). According to whether targeted therapy combined with immunotherapy was added to chemotherapy,patients were divided into a triplet group ( n=46) and a standard chemotherapy group ( n=77). The primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included radiological efficacy indicators (objective response rate (ORR), disease control rate (DCR),clinical benefit rate,etc.) and treatment-related adverse events. Propensity score matching (PSM,caliper=0.2) was used to balance baseline characteristics between groups. Kaplan-Meier curves were used to estimate survival,and Cox regression models were applied to analyze factors influencing OS and PFS. Results:In the original cohort,the median OS was 11 months in the triplet group and 8 months in the chemotherapy group,with no statistically significant difference ( P=0.056). The median PFS was 5 months in the triplet group and 3 months in the chemotherapy group,also without statistical significance ( P>0.05). Multivariate Cox regression analysis indicated that the triplet regimen was an independent prognostic factor for both OS and PFS ( P<0.05). After PSM,baseline balance between groups was good. The median OS was 10.0 months in the triplet group and 7.0 months in the chemotherapy group, with no significant difference ( P=0.094). In terms of efficacy, the ORR was 26.1% (12/46) in the triplet group versus 7.8% (6/77) in the chemotherapy group,with a statistically significant difference ( χ2=6.320, P=0.012). The DCR was 54.3% (25/46) in the triplet group and 33.8% (26/77) in the chemotherapy group,also statistically significant ( χ2=4.214, P=0.037). The incidence of adverse events was similar between groups,mostly grade 1 to 2. Conclusions:The triplet regimen of chemotherapy,targeted therapy,and immunotherapy shows potential in improving efficacy and prolonging survival with acceptable safety in patients with advanced pancreatic cancer. However, its definitive benefits require further investigation.

ObjectiveTo compare the differences in fungal community composition between lesional and non-lesional scalp areas in patients suffering from severe alopecia areata （AA）， and compare these with healthy scalp areas in control subjects. Additionally， to preliminarily explore the changes in scalp fungal communities in severe AA patients and their potential underlying immunological mechanisms. MethodsA total of 20 severe AA patients and 18 healthy controls were enrolled. Skin swab samples were collected from lesional and non-lesional scalp areas of severe AA patients， as well as from the normal scalp of healthy controls. The fungal internal transcribed spacer （ITS） region was amplified and analyzed using high-throughput sequencing. ResultsThe lesional scalp areas of severe AA patients exhibited higher α-diversity and species richness in fungal communities. Notably， the relative abundance of Ascomycota， along with genera such as Mycosphaerella， Aspergillus， Penicillium， and Wallemia， significantly increased in the bald regions. In contrast， Acremonium and Schizophyllum were more predominant in the non-lesional areas of severe AA patients. ConclusionDistinct region-specific differences in scalp fungal microbiota in severe AA patients suggests that fungal dysbiosis may play a potential role in the pathogenesis of alopecia areata. These findings provide new insights into the disease characteristics of severe AA from the perspective of scalp microecology.

Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

Objective: To investigate the correlation between the color parameters (L^*, a^*, b^*, Eab^* values) of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques and the contents of 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucopyranoside, emodin, physcion, emodin-8-O-β-D-glucopyranoside, physcion-8-O-β-D-glucopyranoside.
Methods: The L^*, a^*, b^* and Eab^* values of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques were determined by spectrophotometer, and the contents of the five components were determined by high performance liquid chromatography. Secondly, SPSS 26.0 software and Simca 14.1 software were used to analyze the correlation.
Results: Through the hierarchical cluster analysis (HCA), it was found that the steamed samples and black bean steamed samples could be obviously divided into two categories: raw products and processed products. The processed products could be further divided into 2-8 h and 12-48 h. Pearson correlation analysis showed that the content of stilbene glycoside was significantly positively correlated with L^*, a^* and b^* values (P<0.01). The a^* value was significantly positively correlated with the content of emodin and physcion (P<0.01). Emodin-8-O-β-D-glucoside was positively correlated with L^* value and b^* value, while physcion-8-O-β-D-glucoside was negatively correlated with a^* value. Partial least squares discriminant analysis (PLS) showed that 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucoside (VIP=1.69) and emodin-8-O-β-D-glucoside (VIP=1.06) were the key variables affecting chromaticity characteristics (P<0.01).
Conclusion: The three processes of steaming, black bean steaming and black bean stewing are consistent in composition transformation and chromaticity variation, and stilbene glycoside can be used as a specific index component to characterize the processed color. Chromatic parameters can effectively reflect the processing progression and serve as quality monitoring indicators during production.

ObjectiveTo investigate the efficacy and safety of Shuganning injection in the treatment of liver injury by observing the clinical outcome of patients with liver injury after treatment with Shuganning injection and comparing it with reduced glutathione （GSH）. MethodsThis study was conducted among 175 patients with liver injury who attended 6 hospitals in China （Beijing YouAn Hospital， Capital Medical University； Nanyang First People’s Hospital； The Second Affiliated Hospital of Xi’an Jiaotong University； The Fifth Medical Center of Chinese PLA General Hospital； The Third Hospital of Hebei Medical University； The Affiliated Hospital of Guizhou Medical University） from April 25， 2019 to February 28， 2022. The patients were divided into experimental group （89 patients treated with Shuganning injection） and control group （86 patients treated with GSH）， and the course of treatment was 4 weeks for both groups. Related indicators were recorded before treatment， after treatment， and after drug withdrawal for 8 weeks， including liver function parameters， blood biochemical parameters， blood lipids， coagulation profiles， liver fibrosis markers， traditional Chinese medicine （TCM） syndrome score， and ultrasound findings， as well as adverse events during treatment. The Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Wilcoxon signed-rank test was used for comparison of observation indicators before treatment， at week 4 of treatment， and after drug withdrawal for 8 weeks. When the efficacy evaluation of TCM syndromes was used as the outcome， a pooled analysis was performed for the effective cases and the markedly effective cases， and a Logistic regression model was used to calculate the odds ratio （OR） and its 95%CI. ResultsAfter 4 weeks of treatment with Shuganning injection， the patients showed significant reductions in TCM syndrome score （P<0.001） and the levels of aspartate aminotransferase， alanine aminotransferase， total bilirubin， and direct bilirubin （all P<0.001） and a significant increase in the level of albumin （P=0.002）， and these significant improvements persisted after drug withdrawal for 8 weeks. Furthermore， compared with the control group， the experimental group had a significantly higher proportion of patients assessed as effective or markedly effective cases （48.31% vs 32.56%， P=0.033）. Compared with the control group， the experimental group had a significantly greater change in TCM syndrome score at weeks 1-4 of treatment and after drug withdrawal for 8 weeks （P<0.05）. At week 4 of treatment， the experimental group had a significantly greater reduction in alanine aminotransferase than the control group （P<0.05）， and at week 8 after drug withdrawal， the experimental group had a significantly greater reduction in alanine aminotransferase and aspartate aminotransferase than the control group （all P<0.05）. One patient in the experimental group （1.12%） experienced an adverse event， which was determined to be associated with the progression of viral hepatitis. ConclusionShuganning injection can effectively improve liver injury， with good long-term efficacy and a low incidence rate of adverse reactions.

Background Fine particulate matter (PM_2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM_2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM_2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM_2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM_2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m⁻³, 0.27 μg·m⁻³, 0.17%, and 0.01%, respectively. The PM_2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM_2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m⁻³, 0.283 μg·m⁻³, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM_2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM_2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

OBJECTIVE: To review and summarize the research progress on repairing segmental bone defects using three-dimensional (3D)-printed bone scaffolds combined with vascularized tissue flaps in recent years. METHODS: Relevant literature was reviewed to summarize the application of 3D printing technology in artificial bone scaffolds made from different biomaterials, as well as methods for repairing segmental bone defects by combining these scaffolds with various vascularized tissue flaps. RESULTS: The combination of 3D-printed artificial bone scaffolds with different vascularized tissue flaps has provided new strategies for repairing segmental bone defects. 3D-printed artificial bone scaffolds include 3D-printed polymer scaffolds, bio-ceramic scaffolds, and metal scaffolds. When these scaffolds of different materials are combined with vascularized tissue flaps ( e.g., omental flaps, fascial flaps, periosteal flaps, muscular flaps, and bone flaps), they provide blood supply to the inorganic artificial bone scaffolds. After implantation into the defect site, the scaffolds not only achieve structural filling and mechanical support for the bone defect area, but also promote osteogenesis and vascular regeneration. Additionally, the mechanical properties, porous structure, and biocompatibility of the 3D-printed scaffold materials are key factors influencing their osteogenic efficiency. Furthermore, loading the scaffolds with active components such as osteogenic cells and growth factors can synergistically enhance bone defect healing and vascularization processes. CONCLUSION The repair of segmental bone defects using 3D-printed artificial bone scaffolds combined with vascularized tissue flap transplantation integrates material science technologies with surgical therapeutic approaches, which will significantly improve the clinical treatment outcomes of segmental bone defect repair.
Printing, Three-Dimensional ; Tissue Scaffolds ; Humans ; Surgical Flaps/blood supply* ; Tissue Engineering/methods* ; Plastic Surgery Procedures/methods* ; Bone and Bones/surgery* ; Biocompatible Materials ; Bone Regeneration ; Bone Transplantation/methods* ; Bone Substitutes ; Osteogenesis