ObjectiveTo observe the clinical efficacy of electroacupuncture in treatment of simple obesity patients and its effects on the metabolism-inflammation network. MethodsSeventy-two patients with simple obesity were randomly divided into a electroacupuncture group and a sham electroacupuncture group， with 36 patients in each group. In the electroacupuncture group， conventional acupuncture was applied at Zhongwan （CV 12）， bilateral Tianshu （ST 25）， bilateral Daheng （SP15）， Qihai （CV 6）， Guanyuan （CV 4）， bilateral Zusanli （ST 36） and Fenglong （ST 40）. The sham electroacupuncture group used placebo needle at same acupoints as the electroacupuncture group. Both groups were given sparse-dense waves with a frequency of 2/10 Hz， 30 minutes per session， 3 times a week， for a total of 8 weeks of treatment. The changes of human body parameters including body weight， body mass index （BMI）， waist circumference， and body fat percentage （BFP）， metabolic factors including serum fasting blood glucose （FBG）， triglyceride （TG）， total cholesterol （TC）， high density lipoprotein （HDL）， low density lipoprotein （LDL）， leptin， and ghrelin， and inflammatory factors including interleukin-6 （IL-6） and tumor necrosis factor α （TNF-α） were compared before and after treatment. Correlations between changes in leptin， ghrelin and inflammatory factors were further analyzed. ResultsWaist circumference was significantly reduced after treatment in both groups compared with baseline （P＜0.05）， and the post-treatment waist circumference was lower in the electroacupuncture group than in the sham electroacupuncture group （P＜0.05）； body weight， BMI and BFP decreased significantly after treatment compared to pretreatment levels in the electroacupuncture group （P＜0.05）. Serum leptin， IL-6 and TNF-α declined significantly after treatment in both groups versus baseline （P＜0.05）； the electroacupuncture group had lower post-treatment levels of leptin， IL-6 and TNF-α as well as larger pre-post changes than the sham group （P＜0.05）； ghrelin increased markedly after treatment in both groups （P＜0.05）， with higher post-treatment ghrelin and greater pre-post variation observed in the electroacupuncture group （P＜0.05）. In the electroacupuncture group， changes in ghrelin were negatively correlated with IL-6 and positively correlated with TNF-α （P＜0.01）； in the sham electroacupuncture group， ghrelin changes were negatively correlated with both IL-6 and TNF-α， whereas leptin changes were positively correlated with the two inflammatory markers （P＜0.01）. ConclusionElectroacupuncture can effectively improve clinical manifestations， as well as regulate serum metabolic and pro-inflammatory factors in patients with simple obesity， and discrepant correlation patterns of metabolism-inflammation are observed between the two groups.

OBJECTIVE: To compare the efficacy and safety of intravenous colistin sulfate combined with nebulized inhalation versus intravenous monotherapy for pulmonary infections caused by carbapenem-resistant organism (CRO). METHODS: A multicenter retrospective cohort study was conducted. Clinical data were collected from patients admitted to the intensive care unit (ICU) of 10 tertiary class-A hospitals in Henan Province between July 2021 and May 2023, who received colistin sulfate for CRO pulmonary infections. Data included baseline characteristics, inflammatory markers [white blood cell count (WBC), neutrophil count (NEU), procalcitonin (PCT), C-reactive protein (CRP)], renal function indicators [serum creatinine (SCr), blood urea nitrogen (BUN)], life support measures, anti-infection regimens, clinical efficacy, microbiological clearance rate, and prognostic outcomes. Patients were divided into two groups: intravenous group (colistin sulfate monotherapy via intravenous infusion) and combination group ((intravenous infusion combined with nebulized inhalation of colistin sulfate). Changes in parameters before and after treatment were analyzed. RESULTS: A total of 137 patients with CRO pulmonary infections were enrolled, including 89 in the intravenous group and 48 in the combination group. Baseline characteristics, life support measures, daily colistin dose, and combination regimens (most commonly colistin sulfate plus carbapenems in both groups) showed no significant differences between two groups. The combination group exhibited higher clinical efficacy [77.1% (37/48) vs. 59.6% (52/89)] and microbiological clearance rate [60.4% (29/48) vs. 39.3% (35/89)], both P < 0.05. Pre-treatment inflammatory and renal parameters showed no significant differences between two groups. Post-treatment, the combination group showed significantly lower WBC and CRP [WBC (×10⁹/L): 8.2±0.5 vs. 10.9±0.6, CRP (mg/L): 14.0 (5.7, 26.6) vs. 52.1 (24.4, 109.6), both P < 0.05], whereas NEU, PCT, SCr, and BUN levels showed no significant between two groups. ICU length of stay was shorter in the combination group [days: 16 (10, 25) vs. 21 (14, 29), P < 0.05], although mechanical ventilation duration and total hospitalization showed no significant differences between two groups. CONCLUSIONS Intravenous colistin sulfate combined with nebulized inhalation improved clinical efficacy and microbiological clearance in CRO pulmonary infections with an acceptable safety profile.
Humans ; Colistin/therapeutic use* ; Retrospective Studies ; Administration, Inhalation ; Anti-Bacterial Agents/therapeutic use* ; Carbapenems/pharmacology* ; Male ; Female ; Middle Aged ; Gram-Negative Bacteria/drug effects* ; Aged ; Treatment Outcome ; Respiratory Tract Infections/drug therapy*

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 propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective This study aimed to investigate the effects of silencing Ras homolog family member C(RhoC)on the proliferation,apoptosis,invasion,migration,and epithelial-mesenchymal transition(EMT)of salivary adenoid cystic carcinoma(SACC)and its molecular mechanisms.Methods A total of 27 SACC lesions and normal salivary gland tissues that were surgically resected at Qingdao Municipal Hospital from January 1,2019 to March 1,2024 were selected,and the expression levels of RhoC were detected by Western blot and immunohistochemistry.Three small interfering RNA(siRNAs)were designed to target the RhoC gene sequence,transfected into SACC-LM and SACC-83 cell lines,and evaluated for transfection efficiency.The protein expression levels of RhoC,Rho-asso-ciated protein kinase-1(ROCK1),p38 mitogen-activated protein kinase(p38MAPK),phosphorylated-p38MAPK(p-p38MAPK),twist family bHLH transcription factor 1(TWIST1),E-cadherin,N-cadherin,and Vimentin were com-pared using Western blot.CCK-8 assay,flow cytometry,transwell invasion assay,and wound healing assay were conducted to assess the differences in cell proliferation,apoptosis,invasion,and migration abilities among the groups.Bioinformatics methods were also used to predict possible upstream micro RNAs(miRNAs)of RhoC and their expression levels in SACC.Moreover,dual-luciferase reporter gene experiments were performed to verify the binding sites of miR-138-5p and RhoC.Results RhoC was highly expressed in SACC(P＜0.05).After silencing RhoC,the test group showed a significant decrease in the expression level of ROCK1,p-p38MAPK,TWIST1,N-cadherin,and Vimentin,as well as a significant increase in the expression level of E-cadherin(P＜0.05).No signifi-cant difference in the expression level of p38MAPK was observed(P＞0.05).The cell proliferation,invasion,and mi-gration ability decreased in the test group,whereas the apoptosis rates significantly increased(P＜0.05).miR-138-5p was lowly expressed in SACC,and miR-138-5p mimic can significantly downregulated the luciferase activity of 293T cells after transfection with a RhoC wild-type plasmid(P＜0.05).Conclusion RhoC is highly expressed in SACC,and RhoC silencing may target the downstream ROCK1/p38MAPK/TWISTl signaling pathway,thereby in-hibiting the proliferation,invasion,migration,and EMT of SACC while promoting its apoptosis.On the contrary,miR-138-5p is lowly expressed in SACC and is a potential upstream gene of RhoC,and there may be binding sites between the two genes.

Objective:This study aimed to share preliminary experiences of single-incision plus two ports laparoscopic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (ROSF).Methods:Following the 6th edition of the Japanese Gastric Cancer Treatment Guidelines, proximal gastrectomy with lymphadenectomy was performed. Using a single-port approach, the esophagus was transected at least 2 cm above the tumor's upper margin with linear staplers. The stomach was then extracted through a periumbilical incision, and the proximal stomach was subsequently transected extracorporeally, while ensuring appropriate resection margins on both the greater and lesser curvatures. A single flap was created before returning the remnant stomach to the abdominal cavity and re-establishing pneumoperitoneum. The No.2 clip was used to grasp and elevate the esophageal stump. An incision was made at the right lower edge of the esophageal stump to guarantee that the esophageal lumen was open. The linear stapler was then inserted into the openings of the stomach and esophagus to perform a side overlap anastomosis with a length of 3 cm. Another barbed suture was used to close the common opening of the esophagus and the stomach, and the same barbed suture were used to suture the gastric wall to the lower edge of the muscle flap. The first barbed suture was then used to sequentially suture the proximal brim of the flap to the esophagus and the right brim of the flap to the right brim of the mucosal window. After completion of anastomosis, a drainage tube was inserted through the right upper port. This procedure was employed from November 2023 to March 2024 on five patients diagnosed with adenocarcinoma of the esophagogastric junction and upper stomach. The cohort consisted of three males and two females, with an age range of 62 to 75 years and a body mass index (BMI) of 13.7 to 24.2 kg/m2. All cases were preoperatively staged as T1-2N0M0, confirmed by endoscopic biopsy and enhanced CT scans of the chest, abdomen, and pelvis.Results:All five patients successfully underwent the surgery. The median surgery time was 180-325 minutes, with the intraoperative blood loss of 30-50 ml. The number of lymph nodes harvested ranged from 18 to 27. The time to first flatus, and restore liquid diet and was 2.0-5.0 and 1.0-3.0 days, respectively. The postoperative length of stay was 9.0-11.0 days. The pain scores on the Numeric Rating Scale (NRS). On the first day, the pain scores were 3.0 in two cases, 2.0 in two cases, and 1.0 in one case. On the second day, the pain scores were 2.0 in two cases and 1.0 in three cases. On the third day, the pain scores were 1.0 in four cases and 2.0 in one case. No short-term postoperative complications were observed, and there were no perioperative deaths.Conclusion:Single-incision plus two ports laparoscopic proximal gastrectomy with ROSF is safe and feasible.

Objective:To investigate the mechanism of extract of ginkgo biloba (EGB) on mitochondrial autophagy in breast cancer cells MCF-7.Methods:Breast cancer MCF-7 cells were divided into four groups. EGB with mass concentrations of 40, 80, 120 mg/L was used to incubate breast cancer MCF-7 cells for 24 h or 48 h, as a low concentration group of EGB, a medium concentration group of EGB, and a high concentration group of EGB. Breast cancer MCF-7 cells without intervention were taken as control group. Cell proliferation was measured using MTT assay; Flow cytometry was used to detect cell apoptosis; Immunofluorescence assay was used to determine the contents of prostacyclin (P62), microtubule-associated protein light chain 3Ⅱ (LC3Ⅱ), and caspase-3; The levels of multidrug resistance-associated protein 1 (MRP1), multidrug resistance gene 1 (MDR1) and breast cancer resistance protein (BCRP) were identified by PCR; Western blotting was used to detect the expression of extracellular signal-regulated kinase (ERK), mitogen-activated protein kinase (MAPK), p-ERK, and p-MAPK proteins in cells.Results:The results of MTT assay for cell proliferation showed that cell proliferation at 24 h in control group, EGB low, medium and high concentration groups were 0.95±0.14, 0.65±0.09, 0.51±0.07, 0.37±0.04, respectively, with a statistically significant difference ( F=43.13, P<0.001), cell proliferation at 48 h were 1.32±0.19, 0.54±0.08, 0.32±0.05, 0.15±0.02, respectively, with a statistically significant difference ( F=141.30, P<0.001). Compared with 24 h, cell proliferation was decreased in EGB low, medium and high concentration groups at 48 h (all P<0.05). Pairwise comparison showed that EGB treatment significantly decreased MCF-7 cell viability and cell proliferation was decreased in turn at 24 and 48 h in control group, low, medium, high EGB groups (all P<0.05). Flow cytometry analysis revealed that the apoptosis rates of MCF-7 cells in control group, EGB low, medium and high concentration groups were 2.12%±0.23%, 9.28%±0.45%, 15.17%±1.28% and 22.21%±2.32%, respectively, with a statistically significant difference ( F=128.80, P<0.001). Pairwise comparison showed that the apoptosis rate of control group, EGB low, medium and high concentration groups were increased in turn (all P<0.05). The results of immunofluorescence assay showed that the protein relative expression levels of P62 protein in MCF-7 cells of control group, EGB low, medium and high concentration groups were 3.34±0.52, 2.85±0.47, 2.02±0.18 and 1.08±0.21, respectively, with a statistically significant difference ( F=41.55, P<0.001). LC3Ⅱ protein relative expression levels were 0.24±0.05, 1.02±0.14, 1.47±0.26, 1.95±0.21, respectively, with a statistically significant difference ( F=94.82, P<0.001). The relative expression levels of caspase-3 protein were 0.25±0.03, 0.68±0.21, 1.12±0.17 and 1.65±0.23, respectively, with a statistically significant difference ( F=68.09, P<0.001). Pairwise comparison showed that LC3Ⅱ and caspase-3 protein expression levels were increased in turn in control group, EGB low, medium and high concentration groups, while P62 protein expression levels were decreased in turn (all P<0.05). The PCR experiment results showed that the MRP1 mRNA level of MCF-7 cells in control group, EGB low, medium and high concentration groups were 1.06±0.14, 0.83±0.18, 0.71±0.11, 0.52±0.08, respectively, with a statistically significant difference ( F=17.41, P<0.001). The mRNA levels of MDR1 were 1.14±0.17, 0.75±0.13, 0.60±0.09, 0.48±0.06, respectively, with a statistically significant difference ( F=34.40, P<0.001). BCRP mRNA levels were 1.09±0.11, 0.88±0.13, 0.69±0.07, 0.57±0.05, respectively, with a statistically significant difference ( F=34.13, P<0.001). Pairwise comparison showed that the levels of MRP1, MDR1 and BCRP mRNA were decreased in turn in control group, EGB low, medium and high concentration groups (all P<0.05). The results of Western blotting showed that the expression of ERK in MCF-7 cells in control group, EGB low, medium and high concentration groups were 2.54±0.38, 1.89±0.25, 1.55±0.21, 1.12±0.16, respectively, with a statistically significant difference ( F=31.18, P<0.001). MAPK expression were 2.47±0.34, 1.96±0.29, 1.63±0.27, 1.20±0.24, respectively, with a statistically significant difference ( F=20.90, P<0.001). p-ERK expression were 2.03±0.29, 1.74±0.21, 1.45±0.11, 1.18±0.24, respectively, with a statistically significant difference ( F=16.31, P<0.001). p-MAPK expression were 2.26±0.47, 1.90±0.41, 1.61±0.33, 1.35±0.16, respectively, with a statistically significant difference ( F=7.01, P=0.002). Pairwise comparison showed that the expressions of ERK, MAPK, p-ERK and p-MAPK in control group, EGB low, medium and high concentration groups were decreased in turn (all P<0.05) . Conclusion:EGB can inhibit the proliferation of breast cancer MCF-7 cells, promote the apoptosis of MCF-7 cells, decrease the expression of P62 protein, increase the expression of LC3Ⅱ and caspase-3 protein, induce mitochondrial autophagy.

Objective:To evaluate inflammation early in the infarct zone and its dynamic changes after acute myocardial infarction (AMI) using 18F-FDG PET imaging, and analyze its relationship with left ventricular remodeling progression (LVRP). Methods:Sixteen Bama miniature pigs (4-6 months old, 8 females) were selected. AMI models were established by balloon occlusion of the left anterior descending artery. 18F-FDG PET imaging was performed before AMI and at days 1, 5, 8, and 14 post-AMI to evaluate the regional inflammation response. 18F-FDG SUV ratio (SUVR) and the percentage of uptake area of left ventricle (F-extent) in the infarct zone, and the SUVRs of the spleen and bone marrow, were measured. Echocardiography and 99Tc m-methoxyisobutylisonitrile(MIBI) SPECT myocardial perfusion imaging (MPI) were performed at the above time points and on day 28 post-AMI to assess left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and myocardial perfusion defect extent. The degree of LVRP at day 28 post-AMI was defined as ΔLVESV(%)=(LVESV AMI 28 d-LVESV AMI 1 d)/LVESV AMI 1 d×100%. Data were analyzed using repeated measures analysis of variance, Kruskal-Wallis rank sum test and Pearson correlation analysis. Results:Twelve pigs were successfully modeled and completed the study. Inflammation in the infarct zone persisted until day 14 post-AMI. The SUVR of the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 1.03±0.08, 3.49±1.06, 2.93±0.90, 2.38±0.76, and 1.63±0.62, respectively ( F=49.31, P<0.001). The F-extent values in the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 0, (40.08±12.46)%, (40.00±12.76)%, (31.08±12.82)%, and 16.50%(7.25%, 22.00%), respectively ( H=37.61, P=0.001). There were no significant differences in the SUVRs of bone marrow and spleen before and after AMI ( F values: 0.69 and 0.77, both P>0.05). At day 1 post-AMI, both SUVR and F-extent in the infarct zone were significantly correlated with LVRP ( r values: 0.82 and 0.70, P values: 0.001 and 0.035). Conclusions:18F-FDG PET imaging can be used to evaluate inflammation in the infarct area and its dynamic changes after AMI. Inflammation in the infarct area is severe at day 1, and then gradually decreases. The extent and severity of inflammation visible on 18F-FDG PET imaging 1 d after AMI are closely related to LVRP.