1.Diet and lifestyle factors influencing comorbidity of cardiovascular disease in elderly diabetic patients in community
Yawen HE ; Tongneng XUE ; Yu CHEN
Journal of Public Health and Preventive Medicine 2025;36(4):137-140
Objective To investigate the effect of diet and lifestyle on cardiovascular comorbidity in elderly diabetic patients in community. Methods A total of 437 elderly patients with diabetes mellitus in a community of Huai'an City were divided into comorbidity group and non-comorbidity group according to the presence or absence of cardiovascular comorbidity. Dietary and lifestyle data were collected by self-designed questionnaires. The differences between the two groups were compared. Multivariate logistic regression was used to analyze the influencing factors of comorbidity of diabetes mellitus with cardiovascular disease. Results Among the surveyed patients, 184 (42.11%) had at least one comorbidity of cardiovascular disease, with the most common diseases being hypertension in 93 patients (21.28%), coronary heart disease in 71 patients (16.25%), and stroke in 42 patients (9.61%). Multivariate logistic regression analysis showed that: the risk of comorbidity in the male group was 1.528 times higher than that in the female group; the risk of comorbidity among individuals with inadequate carbohydrate intake was 1.520 times higher than that of individuals with adequate carbohydrate intake; the risk of comorbidity in the group with smoking history > 30 years was 1.299 times higher than that in the group ≤ 30 years; the risk of comorbidity was 49.80% lower in the group with tea preference than that in the group without tea preference; and the risk of comorbidity in the group not meeting the standard for exercise was 1.492 times higher than that in the group meeting the standard for exercise. All these differences were statistically significant (P<0.05). Conclusion The comorbidity of cardiovascular disease in elderly diabetic patients in community should not be ignored, and targeted dietary and lifestyle interventions are helpful for the prevention and control of comorbidity.
2.Effects of alcoholic extract of Gnaphalium affine on oxidative stress and intestinal flora in rats with chronic obstructive pulmonary disease.
Da-Huai LIN ; Xiang-Li YE ; Guo-Hong YAN ; Kai-Ge WANG ; Yu-Qin ZHANG ; Huang LI
China Journal of Chinese Materia Medica 2025;50(15):4110-4119
The efficacy mechanism of the alcoholic extract of Gnaphalium affine was investigated by observing its influence on oxidative stress and intestinal flora in rats modeled for chronic obstructive pulmonary disease(COPD). UPLC-MS was used to evaluate the quality of the alcoholic extract of G. affine, and 72 rats were randomly divided into six groups, with COPD models established in five groups by cigarette smoke combined with airway drip lipopolysaccharide, and the rats were given the positive drug of Danlong Oral Solution, as well as low-, medium-, and high-doses alcoholic extract of G. affine, respectively. After two weeks of continuous gastric gavage, the body weights and general morphology observations were performed; HE staining and Masson staining were used to verify the effects of the alcoholic extract of G. affine on alveolar inflammation and collagen deposition area in COPD rats; the oxidative stress indexes CAT and GSH in serum and SOD and MDA in lung tissue of the rats were measured, and the mRNA expression of HO-1, Nrf2, and NQO1 were determined by qRT-PCR. The protein expressions of HO-1, Nrf2, and NQO1 were determined by the Western blot method, and the mechanism by which the alcoholic extract of G. affine affected oxidative stress in COPD rats was explored. Finally, the influence of G. affine on the changes in intestinal flora caused by COPD was studied by 16S rRNA sequencing. The results showed that a total of 121 chemical components were identified by UPLC-MS, including 70 positive and 51 negative ion modes. In animal experiments, it was found that the alcoholic extracts of G. affine were able to reduce the percentage of collagen deposition, affect the oxidative stress indexes such as CAT, GSH, SOD, MDA, as well as the mRNA and protein expression of Nrf2, HO-1, and NQO1. The 16S rRNA sequencing results showed an increase in the level of Lactobacillales and a decrease in the level of Desulfovibrio and Desulfovibrionales, suggesting that the alcoholic extracts of G. affine could reverse the changes in intestinal flora caused by COPD. In conclusion, the alcoholic extracts of G. affine may exert anti-COPD effects by affecting the oxidative stress pathway and modulating the changes in intestinal flora.
Animals
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Oxidative Stress/drug effects*
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Pulmonary Disease, Chronic Obstructive/genetics*
;
Rats
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Male
;
Gastrointestinal Microbiome/drug effects*
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Rats, Sprague-Dawley
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Drugs, Chinese Herbal/administration & dosage*
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NF-E2-Related Factor 2/metabolism*
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Humans
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Lung/metabolism*
3.Quality evaluation of Xinjiang Rehmannia glutinosa and Rehmannia glutinosa based on fingerprint and multi-component quantification combined with chemical pattern recognition.
Pan-Ying REN ; Wei ZHANG ; Xue LIU ; Juan ZHANG ; Cheng-Fu SU ; Hai-Yan GONG ; Chun-Jing YANG ; Jing-Wei LEI ; Su-Qing ZHI ; Cai-Xia XIE
China Journal of Chinese Materia Medica 2025;50(16):4630-4640
The differences in chemical quality characteristics between Xinjiang Rehmannia glutinosa and R. glutinosa were analyzed to provide a theoretical basis for the introduction and quality control of R. glutinosa. In this study, the high performance liquid chromatography(HPLC) fingerprints of 6 batches of Xinjiang R. glutinosa and 10 batches of R. glutinosa samples were established. The content of iridoid glycosides, phenylethanoid glycosides, monosaccharides, oligosaccharides, and polysaccharides in Xinjiang R. glutinosa and R. glutinosa was determined by high performance liquid chromatography-diode array detection(HPLC-DAD), high performance liquid chromatography-evaporative light scattering detection(HPLC-ELSD), and ultraviolet-visible spectroscopy(UV-Vis). The determination results were analyzed with by chemical pattern recognition and entropy weight TOPSIS method. The results showed that there were 19 common peaks in the HPLC fingerprints of the 16 batches of R. glutinosa, and catalpol, aucubin, rehmannioside D, rehmannioside A, hydroxytyrosol, leonuride, salidroside, cistanoside A, and verbascoside were identified. Hierarchical cluster analysis(HCA) and principal component analysis(PCA) showed that Qinyang R. glutinosa, Mengzhou R. glutinosa, and Xinjiang R. glutinosa were grouped into three different categories, and eight common components causing the chemical quality difference between Xinjiang R. glutinosa and R. glutinosa in Mengzhou and Qinyang of Henan province were screened out by orthogonal partial least squares discriminant analysis(OPLS-DA). The results of content determination showed that there were glucose, sucrose, raffinose, stachyose, polysaccharides, and nine glycosides in Xinjiang R. glutinosa and R. glutinosa samples, and the content of catalpol, rehmannioside A, leonuride, cistanoside A, verbascoside, sucrose, and glucose was significantly different between Xinjiang R. glutinosa and R. glutinosa. The analysis with entropy weight TOPSIS method showed that the comprehensive quality of R. glutinosa in Mengzhou and Qinyang of Henan province was better than that of Xinjiang R. glutinosa. In conclusion, the types of main chemical components of R. glutinosa and Xinjiang R. glutinosa were the same, but their content was different. The chemical quality of R. glutinosa was better than Xinjiang R. glutinosa, and other components in R. glutinosa from two producing areas and their effects need further study.
Rehmannia/classification*
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Drugs, Chinese Herbal/chemistry*
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Chromatography, High Pressure Liquid/methods*
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Quality Control
4.Complications among patients undergoing orthopedic surgery after infection with the SARS-CoV-2 Omicron strain and a preliminary nomogram for predicting patient outcomes.
Liang ZHANG ; Wen-Long GOU ; Ke-Yu LUO ; Jun ZHU ; Yi-Bo GAN ; Xiang YIN ; Jun-Gang PU ; Huai-Jian JIN ; Xian-Qing ZHANG ; Wan-Fei WU ; Zi-Ming WANG ; Yao-Yao LIU ; Yang LI ; Peng LIU
Chinese Journal of Traumatology 2025;28(6):445-453
PURPOSE:
The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery.
METHODS:
A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications.
RESULTS:
In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram.
CONCLUSION
Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans
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COVID-19/complications*
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Male
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Female
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Middle Aged
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Postoperative Complications/epidemiology*
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SARS-CoV-2
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Orthopedic Procedures/adverse effects*
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Aged
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Nomograms
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Adult
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Retrospective Studies
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Risk Factors
5.Expert consensus on the application of nasal cavity filling substances in nasal surgery patients(2025, Shanghai).
Keqing ZHAO ; Shaoqing YU ; Hongquan WEI ; Chenjie YU ; Guangke WANG ; Shijie QIU ; Yanjun WANG ; Hongtao ZHEN ; Yucheng YANG ; Yurong GU ; Tao GUO ; Feng LIU ; Meiping LU ; Bin SUN ; Yanli YANG ; Yuzhu WAN ; Cuida MENG ; Yanan SUN ; Yi ZHAO ; Qun LI ; An LI ; Luo BA ; Linli TIAN ; Guodong YU ; Xin FENG ; Wen LIU ; Yongtuan LI ; Jian WU ; De HUAI ; Dongsheng GU ; Hanqiang LU ; Xinyi SHI ; Huiping YE ; Yan JIANG ; Weitian ZHANG ; Yu XU ; Zhenxiao HUANG ; Huabin LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):285-291
This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans
;
Nasal Cavity/surgery*
;
Nasal Surgical Procedures
;
China
;
Consensus
;
Sinusitis/surgery*
;
Dermal Fillers
6.Nogo-A Protein Mediates Oxidative Stress and Synaptic Damage Induced by High-Altitude Hypoxia in the Rat Hippocampus.
Jin Yu FANG ; Huai Cun LIU ; Yan Fei ZHANG ; Quan Cheng CHENG ; Zi Yuan WANG ; Xuan FANG ; Hui Ru DING ; Wei Guang ZHANG ; Chun Hua CHEN
Biomedical and Environmental Sciences 2025;38(1):79-93
OBJECTIVE:
High-altitude hypoxia exposure often damages hippocampus-dependent learning and memory. Nogo-A is an important axonal growth inhibitory factor. However, its function in high-altitude hypoxia and its mechanism of action remain unclear.
METHODS:
In an in vivo study, a low-pressure oxygen chamber was used to simulate high-altitude hypoxia, and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling pathway. Contextual fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats, and synaptic damage in the hippocampus and changes in oxidative stress levels were observed. In vitro, SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion (OGD/R) models.
RESULTS:
Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats, triggered oxidative stress in the hippocampal tissue, and reduced the dendritic spine density of hippocampal neurons. Blocking the Nogo-A/NgR1 pathway ameliorated oxidative stress, synaptic damage, and the learning and memory impairment induced by high-altitude exposure.
CONCLUSION:
Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure.
GRAPHICAL ABSTRACT
available in www.besjournal.com.
Animals
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Oxidative Stress
;
Hippocampus/metabolism*
;
Rats
;
Nogo Proteins/genetics*
;
Male
;
Rats, Sprague-Dawley
;
Hypoxia/metabolism*
;
Altitude
;
Synapses
;
Humans
;
Altitude Sickness/metabolism*
7.Research on the regulation of ferroptosis in hepatic stellate cells line LX2 by recombinant cytoglobin
Xun-wei DUAN ; Gui-qing XIAO ; Huai-yu CHEN ; Yong ZHANG ; Wen-lin WU ; Yi GAO ; Yong DIAO
Acta Pharmaceutica Sinica 2024;59(8):2237-2244
Intracellular overexpression of cytoglobin (Cygb) has been shown to reduce extracellular matrix deposition and promote liver fibrosis recovery, but its mechanism is not yet clear. This study constructed and expressed a fusion protein (TAT-Cygb) of cell penetrating peptide TAT and Cygb, to investigate the effect of fusion protein TAT-Cygb on regulating hepatic stellate cells (HSCs) ferroptosis. Cultured human hepatic stellate cells line (LX2) were treated with TAT-Cygb and erastin
9.Role and significance of deep learning in intelligent segmentation and measurement analysis of knee osteoarthritis MRI images
Guangwen YU ; Junjie XIE ; Jiajian LIANG ; Wengang LIU ; Huai WU ; Hui LI ; Kunhao HONG ; Anan LI ; Haopeng GUO
Chinese Journal of Tissue Engineering Research 2024;33(33):5382-5387
BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.
10.A study on reversing multidrug resistance of MCF-7/ADR cells by inhibiting doxorubicin efflux with a fluorinated nanomedicine delivery system
Huai-Tao SUN ; Yin-Hua LIN ; Yu-Rong SUN ; Qiao CHEN ; Shuo CHEN ; Yu CAO
Chinese Pharmacological Bulletin 2024;40(6):1124-1130
Aim To achieve efficient loading of doxo-rubicin(doxorubicin,dox)by synthesizing fluorinated nanomaterials,and to study the mechanism of nano-medicine against multidrug resistance in tumors.Methods The physicochemical properties of nano dox(nano-doxorubicin)at different degrees of fluorination(PF4 and PF8)were evaluated through various physi-cochemical parameters,and nano dox formulations were screened out with superior fluorination.The mechanism of nano dox in overcoming multidrug resist-ance in tumors was investigated and in vitro anti-tumor activity was studied through research on cytotoxicity,cellular uptake,apoptosis,and resistance against the P-glycoprotein(P-glycoprotein,P-gp)efflux pump.Results By examining various physicochemical indi-cators,PF8 exhibited superior nano performance in loading doxorubicin compared to PF4.Cytotoxicity ex-periments demonstrated that the IC50 value of nano dox was only 1/40 of free dox,indicating excellent in vitro activity of nano dox in overcoming resistance and inhib-iting cell proliferation.Cell uptake and apoptosis stud-ies indicated that nano dox could effectively enhance the uptake of doxorubicin in MCF-7/ADR cells and successfully enter the cell nucleus,ultimately leading to apoptosis-induced anticancer activity.Studies on drug efflux mediated by P-glycoprotein indicated that nano dox could rapidly enter MCF-7/ADR cells through an efficient cellular uptake pathway,effective-ly bypassing the P-glycoprotein efflux pump.This dual action resulted in increased drug uptake within resistant cells and a reduction in efflux,demonstrating the po-tential of nano doxorubicin to overcome drug resist-ance.Conclusions The design of fluorinated nano dox effectively circumvents the efflux of drug molecules by P-glycoprotein,enhancing drug uptake within re-sistant tumor cells and reducing efflux.This results in an effective strategy in combating multidrug resistance in tumors.


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