ObjectiveTo understand the infection characteristics of multidrug-resistant organisms (MDROs) in hospitalized patients in a tertiary sentinel hospital in Shanghai, so as to provide an evidence for the development of targeted prevention and control measures. MethodsData of MDROs strains and corresponding medical records of some hospitalized patients in a hospital in Shanghai from 2021 to 2023 were collected, together with an analysis of the basic information, clinical treatment, underlying diseases and sources of sample collection. ResultsA total of 134 strains of MDROs isolated from hospitalized patients in this hospital were collected from 2021 to 2023 , including 63 strains of methicillin-resistant Staphylococcus aureus (MRSA), 57 strains of carbapenem-resistant Acinetobacter baumannii (CRAB), and 14 strains of carbapenem-resistant Klebsiella pneumoniae (CRKP). Of the 134 strains, 30 strains were found in 2021, 47 strains in 2022 and 57 strains in 2023. The male-to-female ratio of patients was 2.05∶1, with the highest percentage (70.90%) in the age group of 60‒<90 years. The primary diagnosis was mainly respiratory disease, with lung and respiratory tract as the cheif infection sites. There was no statistically significant difference in the distribution of strains between different genders and infection sites (P>0.05). However, the differences in the distribution of strains between different ages and primary diagnosis were statistically significant (P<0.05). Patients who were admitted to the intensive care unit (ICU), had urinary tract intubation, were not artery or vein intubated, were not on a ventilator, were not using immunosuppresants or hormones, and were not applying radiotherapy or chemotherapy were in the majority. There was no statistically significant difference in the distribution of strains for whether received radiotherapy or chemotherapy or not (P>0.05), while the differences in the distribution of strains with ICU admission history, urinary tract intubation, artery or vein intubation, ventilator use, and immunosuppresants or hormones use or not were statistically significant (all P<0.05). The type of specimen was mainly sputum, the hospitalized ward was mainly comprehensive ICU, the sampling time was mainly in the first quarter throughout the year, the number of underlying diseases was mainly between 1 to 2 kinds, the application of antibiotics ≥4 kinds, and those who didn’t receive any surgery recently accounted for the most. There were statistically significant differences in the distribution of strains between different specimen types, wards occupied and history of ICU stay (P<0.05), but no statistically significant difference in the distribution of strains between different sampling times, number of underlying diseases and types of antibiotics applied (P>0.05). ConclusionThe situation of prevention and control on MDROs in this hospital is still serious. Focus should be placed on high-risk factors’ and infection monitoring and preventive measures should be strengthened to reduce the incidence rate of MDROs infection.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

ObjectiveTo explore the epidemic levels and epidemiological characteristics of influenza-like illness (ILI) in Hongkou District of Shanghai, to track the trends in virus mutations, so as to offer a scientific foundation for precisely predicting influenza epidemic trends, providing early alerts, and implementing prompt prevention and control measures. MethodsData on ILI and etiological surveillance from Hongkou District between 2015 and 2024 were collected and statistically analyzed. ResultsThe consultation percentage of ILI (ILI%) in Hongkou District from 2015 to 2024 was 0.58%, and the differences were statistically significant between different years (χ²=19 280.500, P<0.001), with winter and summer being the prevalence peaks. The highest proportion of ILI cases was observed in the 25‒<60 years age group, and the proportion of cases aged ≥60 years showed an increasing trend. The positive rate for influenza viruses was 17.60%, with seasonal influenzaA (H3N2) subtype (49.78%) and influenza A(H1N1) (30.03%) being the predominant strains,and the positive rate was different by years. There was a correlation between ILI% and the positive rate of influenza viruses (r=0.260, P<0.001). The median intensity of influenza activity in 2023‒2024 was 23.09, which was significantly higher than that in 2015‒2019 (H=37.052, P<0.001) and that in 2020‒2022 (H=40.436, P<0.001). ConclusionFrom 2015 to 2022, the ILI% in Hongkou District, Shanghai remained at a relatively low level, but it significantly increased in 2023‒2024, with peaks observed in winter and summer. The predominant influenza virus strains varied and alternated by years. The 2023‒2024 period witnessed an intensified influenza activity. It is necessary to continuously monitor the impact of other respiratory pathogens on influenza epidemic, so as to provide a scientific basis for early warning and prevention and control of influenza.

Background::Evaluating the impact of digestive system diseases is vital for devising effective prevention strategies. However, comprehensive reports on the burden of digestive system diseases in China are lacking. Our study aimed to provide an overview of the burden and trends of digestive system diseases from 1990 to 2019 in China and its provinces.Methods::This cross-sectional study utilized the Global Disease Burden Study 2019 to estimate the incidence, mortality rate, disability-adjusted life years (DALYs), years of life disability, years of life lost, and changes in the burden of digestive diseases across Chinese provinces from 1990 to 2019. The analysis of disease burden primarily examines the characteristics of sub-disease distribution, time trends, age distribution, and sex distribution. Additionally, we compared provincial age-standardized DALYs for digestive diseases with the expected rates based on the socio-demographic index (SDI).Results::In 2019, there were 499.2 million cases of digestive system diseases in China, resulting in 1,557,310 deaths. Stomach cancer, colon and rectal cancer, and esophageal cancer are the top three diseases associated with mortality and DALY related to digestive system diseases. Meanwhile, cirrhosis and other chronic liver diseases, gastroesophageal reflux disease, and gallbladder and biliary diseases are the top three kinds of diseases with the highest prevalence among digestive system diseases. The risk of gastric cancer sharply increases among men after the age of 40 years, leading to a significant disparity in burden between men and women. As the SDI increased, the DALYs associated with digestive system diseases in China and its provinces showed a downward trend.Conclusion::Our study highlights the inverse correlation between DALYs associated with digestive system diseases and the SDI.

Objective:To investigate the effect of inhibitory activity of high mobility group protein B1 (HMGB1), signal transduction and activator of transcription 3 (STAT3) on myocardial ischemia-reperfusion injury in rats.Methods:In vivo and in vitro models of MIRI were established. SD rats were randomly divided into a sham group, a model group, a glycyrrhizic acid group, and a NSC74859 group, with 6 rats in each group. Rats in the sham group were not ligation, and rats in the sham group and model group were not given medication. The rats in the glycyrrhizic acid group and the NSC74859 group were injected with HMGB1 antagonist glycyrrhizic acid or STAT3 inhibitor NSC74859 5 mg/kg in the tail vein at 12 h 30 min before ischemia/reperfusion and 30 min after ischemia, respectively. Left ventricular shortening fraction (FS) and left ventricular ejection fraction (EF) were evaluated by echocardiography, and apoptosis of cardiomyocytes was evaluated by hematoxylin-eosin (HE) and TUNEL staining. The expression levels of HMGB1, STAT3, and phosphorylated STAT3 (p-STAT3) were detected by real-time fluorescence quantitative PCR and Western Blot. The viability of H9C2 cells was determined by the MTS assay, intracellular ATP content was determined, and the mitochondrial membrane potential of H9C2 cells was measured by flow cytometry to evaluate the survival of cardiomyocytes. The action mode of HMGB1/STAT3 was studied by the immunoprecipitation method. The expression and migration of HMGB1/STAT3 in the nucleus and cytoplasm were detected by immunostaining. Results:After inhibiting the expression of HMGB1 or STAT3, EF and FS were increased, and immune infiltration and apoptosis of cardiomyocytes were decreased. Inhibition of HMGB1 expression could decrease the expression of STAT3, but inhibition of STAT3 expression didn’t affect the expression of HMGB1. Hypoxia could lead to increased expression of HMGB1 and p-STAT3, and decreased expression of STAT3. After 8 hours of hypoxia, the expression level of STAT3 suddenly increased. After reoxygenation, the expression of HMGB1 and STAT3 decreased, and the expression of p-STAT3 increased, but p-STAT3 (Ser 727) didn’t participate in this process. After ischemia-reperfusion injury, HMGB1 and STAT3 binded firmly in cardiomyocytes, but inhibition of STAT3 or HMGB1 weakened this binding. Inhibition of HMGB1 or STAT3 expression could reduce myocardial ischemia-reperfusion injury. The expression of HMGB1 in reoxygenated cardiomyocytes increased after hypoxia, and HMGB1 migrated from the nucleus to the cytoplasm.Conclusions:Inhibiting the activity of the HMGB1/STAT3 axis effectively reduces MIRI in rats.

Objective To explore planning effect of AI-HIP assisted surgical planning system in primary unilateral total hip arthroplasty(THA)and its influence on clinical outcomes.Methods A retrospective analysis was conducted on clinical data of 36 patients who underwent their first unilateral THA from March 2022 to November 2022 and continuously used AI-HIP system(AI-HIP group),including 16 males and 20 females,aged from 43 to 81 years old with an average of(62.2±10.9)years old.According to the matching principle,36 patients who were planned by the traditional template method at the same period were selected as the control group,including 16 males and 20 females,aged from 40 to 80 years old with an average of(60.9±12.1)years old.The accuracy between two groups of prostheses were compared,as well as the combined eccentricity difference between preoperative planning and postoperative practice,lower limb length difference,osteotomy height from the upper edge of the lesser trochanter and top shoulder distance to evaluate planning effect.Harris score and visual analogue scale(VAS)were used to evaluate clinical efficacy.Results Both groups were followed up for 12 to 18 months with an average of(14.5±2.1)months.The complete accuracy and approximate accuracy of acetabular cup and femoral stalk prosthesis in AI-HIP group were 72.2％,100％,58.3％,88.9％,respectively,which were better than 44.4％,83.3％,33.3％,66.7％in control group(P＜0.05).There was no statistical significance in planning of femoral head prosthesis size(P＞0.05).The actual combined eccentricity difference and combined eccentricity difference(practical-planning)in Al-HIP group were 1.0(0.2,2.4)mm and 1.1(-2.1,3.2)mm,respectively;which were better than 3.0(1.4,4.9)mm and 3.5(-1.6,6.5)mm in control group(P＜0.05).There was no significant difference between two groups in actual osteotomy height of the upper margin of the lesser trochanter(P＞0.05).In AI-HIP group,the actual difference of lower extremity length after surgery,the difference of lower extremity length(practical-planning),osteotomy height from the upper margin of lesser trochanter(practical-planning),actual topshoulder distance after surgery,and topshoulder distance(practical-planning)were 1.5(0.2,2.8),1.1(-0.3,2.2),2.1(-2.3,4.1),(15.3±4.1),2.2(-4.8,0.3)mm,respectively;which were better than control group of 2.6(1.3,4.1),2.5(0.3,3.8),5.8(-2.4,7.7),(13.0±4.3),-5.7(-9.4,-2.2)mm(P＜0.05).At final follow-up,there were no significant differences in Harris scores of pain,function,deformity,total scores and VAS between two groups(P＞0.05).The range of motion score was 4.8±0.6 in AI-HIP group,which was higher than that in control group(4.4±0.8)(P＜0.05).Conclusion Compared with traditional template planning,AI-HIP assisted surgical planning system has good accuracy in predicting the prosthetic size of the acetabular cup and femoral stalk,restor-ing joint eccentricity,planning lower limb length,osteotomy height and top shoulder distance on the first unilateral THA,and the clinical follow-up effect is satisfactory.

Objective:To construct a nomogram model for predicting the 28-day mortality of patients with septic shock in the emergency medicine department and to validate the predictive efficacy.Methods:Based on the database of the emergency medicine department of Chu Hsien-I Memorial Hospital of Tianjin Medical University, Tianjin Medical University General Hospital and the Second Hospital of Tianjin Medical University, the data of 913 patients with septic shock admitted to the emergency medicine department from January 2017 to October 2020 were collected, including baseline demographic information and clinical characteristics, laboratory indices, and the main endpoints (28-day mortality). The patients were divided into a training set and a validation set based on simple random sampling. All significant variables from the one-way binary Logistic regression analysis of the training set were included in the multivariate Logistic regression analysis to analyze the risk factors for 28-day mortality in patients with septic shock and to construct a column-line graphical model. The predictive efficacy of the nomogram model was assessed using calibration curves and receiver operator characteristic curve (ROC curve).Results:A total of 860 patients with septic shock meeting the criteria were finally enrolled, including 472 in the training set and 388 in the validation set. The 28-day mortalities were 52.5% (248/472) and 54.1% (210/388) for the training and validation sets, respectively. In the training set, age, respiratory rate (RR), the levels of C-reactive protein (CRP), D-dimer, white blood cell count (WBC), neutrophil count (NEU), neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), mean platelet volume (MPV), and platelet count (PLT) in the death group were significantly higher than those in the survival group, and the levels of base remaining (BE), lymphocyte count (LYM), hemoglobin (Hb) and the proportion of chronic obstructive pulmonary diseases (COPD) were significantly lower than those in the survival group (all P < 0.05). Multifactorial Logistic regression analysis showed that NLR [odds ratio ( OR) = 0.023 0, 95% confidence interval (95% CI) was -0.204 4 to 0.113 0], MPV ( OR = 0.179 8, 95% CI was -0.877 6 to 0.172 7), Hb ( OR = 0.007 8, 95% CI was 0.010 3 to 0.040 8), procalcitonin (PCT; OR = 1.957 0, 95% CI was 1.243 0 to 3.081 0), and D-dimer ( OR = 0.000 1, 95% CI was -0.000 4 to 0.000 1) were independent predictors of 28-day mortality in patients with septic shock in the emergency department (all P < 0.05). A column-line graph model was established based on the above variables, and the ROC curves showed that the area under the ROC curve (AUC) of the nomogram model in the training set and validation set for predicting the 28-day mortality of patients with septic shock was 0.907 (95% CI was 0.864 to 0.940) and 0.822 (95% CI was 0.781 to 0.863), respectively. The calibration curves showed good agreement between the predicted and observed results for both the training and validation sets. Conclusion:The nomogram model constructed based on NLR, MPV, Hb, PCT and D-dimer has significant clinical value in predicting the 28-day mortality of patients with septic shock in the emergency medicine department.

Objective:To observe the effects of nutritional status on the surgical outcomes, nutritional indicators, and renal anemia of maintenance hemodialysis patients with secondary hyperparathyroidism undergoing parathyroidectomy.Methods:A retrospective study was conducted on 35 patients who underwent maintenance hemodialysis with secondary hyperparathyroidism at Huadu District People′s Hospital of Guangzhou from January 2016 to January 2021. All patients underwent total parathyroidectomy with autologous forearm transplantation due to ineffective drug treatment. Before surgery, patients were divided into three groups based on their nutritional status scores: no malnutrition group (0-1 points), mild malnutrition group (2-4 points), and moderate to severe malnutrition group (5-12 points). The changes in serum parathyroid hormone, blood calcium, blood phosphorus, blood albumin, and other indicators were observed at different time points before and after surgery in different groups of patients.Results:The serum parathyroid hormone, blood phosphorus, and calcium phosphorus product of maintenance hemodialysis patients with different nutritional status who underwent parathyroidectomy at 3, 6, and 12 months were significantly decreased compared with preoperative levels, and the differences were statistically significant (all P<0.05). There were no significant changes in albumin, lymphocyte count, and total cholesterol levels in patients without malnutrition at 3, 6, and 12 months after surgery compared with preoperative levels (all P>0.05); The lymphocyte count of patients with mild malnutrition increased significantly at 6 and 12 months after surgery compared to preoperative levels (all P<0.05). The levels of albumin and total cholesterol in patients with moderate to severe malnutrition increased significantly at 3, 6, and 12 months after surgery compared with preoperative levels (all P<0.05). The Hb levels of patients without malnutrition and those with mild malnutrition increased significantly at 6 and 12 months after surgery compared with preoperative levels (all P<0.05); The Hb levels of patients with moderate to severe malnutrition increased significantly at 3, 6, and 12 months after surgery compared with preoperative levels (all P<0.05). Conclusions:Nutritional status affects the long-term outcomes of parathyroidectomy in hemodialysis patients, and parathyroidectomy can significantly improve the nutritional and anemia status of hemodialysis patients with secondary hyperparathyroidism. This effect is more pronounced in patients with moderate to severe malnutrition before surgery.

Cognitive dysfunction refers to dysfunction of individual perception,memory,understanding,learning,creation and other dysfunctions caused by abnormal brain function and structure.Based on the fact that the spleen can't regulate transportation and transformation,govern blood and send up essential substance,combined with the microbiota-gut-brain axis,this article discussed the etiology and pathogenesis of intestinal flora imbalance affecting cognitive dysfunction in TCM.It was proposed that the spleen in TCM and intestinal flora are connected in physiology and pathology:the spleen regulates spirit and governs cognition,when the spleen fails to function normally that it can't dominate transportation and transformation,govern blood and send up essential substance will cause that the brain spirit can not be nourished;intestinal flora is closely related to the spleen in TCM,and affects brain function through the nervous system,endocrine,immune and metabolic mechanisms.This article can provide explore new ideas for the clinical research and treatment of cognitive dysfunction of traditional Chinese and Western medicine.