1.The relationship between activities of daily living and mental health in community elderly people and the mediating role of sleep quality
Heng-Yi ZHOU ; Jing LI ; Dan-Hua DAI ; Yang LI ; Bin ZHANG ; Rong DU ; Rui-Long WU ; Jia-Yan JIANG ; Yuan-Man WEI ; Jing-Rong GAO ; Qi ZHAO
Fudan University Journal of Medical Sciences 2024;51(2):143-150
Objective To explore the relationship and internal path between activities of daily living(ADL),sleep quality and mental health of community elderly people in Shanghai.Methods A questionnaire survey was conducted among community residents aged 60 years and older seeing doctors in community health care center of five streets in Shanghai during Sept to Dec,2021 using convenience sampling.Activities of Daily Living(ADL),Pittsburgh Sleep Quality Index(PSQI)and 10-item Kessler Psychological Distress Scale(K10)were adopted in the survey.Single factor analysis,correlation analysis and multiple linear regression were used to analyze the data.The effect relationship between the variables was tested using Bootstrap's mediated effects test.Results A total of 1 864 participants were included in the study.The average score was 15.53±4.47 for ADL,5.60±3.71 for PSQI and 15.50±6.28 for K10.The rate of ADL impairment,poor sleep quality,poor and very poor mental health of the elderly were 23.6%,27.3%,11.9%and 4.9%,respectively.ADL and sleep quality were all positively correlated with mental health(r=0.321,P<0.001;r=0.466,P<0.001);ADL was positively correlated with sleep quality(r=0.294,P<0.001).Multiple linear results of factors influencing mental health showed that ADL(β= 0.457,95%CI:0.341-0.573),sleep quality(β =0.667,95%CI:0.598-0.737)and mental health were positively correlated(P<0.001).Sleep quality partially mediated the relationship between ADL and mental health(95%CI:0.078-0.124)with an effect size of 33.0%.Conclusion Sleep quality is a mediator between ADL and mental health among community elderly people.Improving ADL and sleep quality may improve mental health in the population.
2.The Neural Network Representation of Pain in Humans
Progress in Biochemistry and Biophysics 2024;51(10):2357-2368
Pain is an unpleasant sensory and emotional experience involving multi-level neural processing, with a highly complex neural activity pattern. Recent advancements in non-invasive brain functional imaging techniques have enhanced our understanding of the neural mechanisms underlying pain processing in humans at the whole-brain level. Functional magnetic resonance imaging (fMRI), in particular, plays an important role due to its high spatial resolution and has driven significant advancements in this field. This review focused on fMRI studies of pain in humans. We first summarized research that explored brain responses to pain and showing that pain processing involves neural activities across multiple brain regions, constituting the pain matrix, which includes the somatosensory cortex, thalamus, insula, anterior cingulate cortex, and other areas. However, modulating the activity of a single brain region has limited effects on pain experiences, suggesting that pain processing entails communications among multiple brain regions. Thus, we reviewed research investigating interactions between brain regions, finding that multiple neural pathways spanning the whole brain are involved in pain processing. Beyond interactions between pairs of regions, understanding how these interactions construct a pain-related network is crucial for fully comprehending the neural representation of pain. Two main approaches are used to describe neural networks across the whole brain. The first one is theory-driven, such as graph theory. Using this method, researchers explored how network properties evolve during pain processing and identified a tightly connected network that emerges during pain, encompassing the somatosensory, salience, and fronto-parietal networks, forming a pain-related super-system. As pain is modulated or diminishes, this system becomes less connected. The second approach relies on data-driven methods, such as methods based on independent component analysis or principal component analysis, and machine learning. These methods are not constrained by pre-defined brain networks. Advancements in machine learning have provided valuable insights, enabling researchers to develop pain biomarkers with promising clinical potential. Theory-driven and data-driven approaches provide complementary insights into our understanding of the neural mechanisms of pain. In recent years, two rapidly advancing and promising techniques have further enhanced the precision and comprehensiveness of pain neural network. One is ultra-high-field magnetic resonance imaging, and the other is simultaneous brain-spinal imaging. Ultra-high-field magnetic resonance imaging has overcome previous spatial resolution limitations in fMRI. In subcortical regions, it helps distinguish neural activities of different nuclei. In cortical regions, high resolution enables the differentiation of neural activities across cortical layers, thereby providing a more in-depth and detailed understanding of the neural mechanisms of pain. Simultaneous brain-spinal imaging technology enables the exploration of brain-spinal networks involved in pain processing, making it possible to construct a comprehensive neural network representation of pain throughout the entire central nervous system. Based on current findings, we suggested that in the clinical treatment of pain using neuromodulation techniques, the selection of stimulation targets could be guided by the pain neural network. Targeting hubs within the pain network could significantly impact the network and may efficiently influence pain experiences. Finally, we discussed the limitations of current research on the neural representation of pain and proposed future directions, including exploring pain-specific representation, systematically comparing experimental and clinical pain, and examining individualized neural representations.
3.Licorice-saponin A3 is a broad-spectrum inhibitor for COVID-19 by targeting viral spike and anti-inflammation
Yang YI ; Wenzhe LI ; Kefang LIU ; Heng XUE ; Rong YU ; Meng ZHANG ; Yang-Oujie BAO ; Xinyuan LAI ; Jingjing FAN ; Yuxi HUANG ; Jing WANG ; Xiaomeng SHI ; Junhua LI ; Hongping WEI ; Kuanhui XIANG ; Linjie LI ; Rong ZHANG ; Xin ZHAO ; Xue QIAO ; Hang YANG ; Min YE
Journal of Pharmaceutical Analysis 2024;14(1):115-127
Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.
4.Screening for asymptomatic atrial fibrillation in elder community populations in Dalian: a single center study.
Yi Heng YANG ; Rong Qian XU ; Rong Feng ZHANG ; Yu Shan WEI ; Li HONG ; Jie SUN ; Tao CONG ; Yun Long XIA
Chinese Journal of Cardiology 2023;51(10):1056-1062
Objective: We aimed to determine the epidemiological characteristics of asymptomatic AF in elder community population (≥65 years old) to analyze the detection rate of different screening methods. Methods: The study was a prospective cohort study. The elder (≥65 years old) residents who voluntarily participated in free physical examination in Dalian community were selected. The participants were randomly divided into screening group (including intensive screening group and single screening group) and control group. The control group received interrogation, medical history collection and routine 12-lead electrocardiogram (ECG) examination. Screening group received an additional single-lead ambulatory ECG equipment worn for 5-7 days. Intensive screening group received two equal-length wearings in 2020 and 2021 respectively, while one screening group only wore once in 2020. Results: Finally 3 340 residents ((70.7±5.0) years old) which consisted of 1 488 males (44.55%) were enrolled. There were 1 945 residents in screening group, including 859 in intensive screening group and 1 086 in one-time screening group. The control group included 1 395 people. Detection rate of asymptomatic AF was significantly higher in screening group than control group (79(4.06%) vs. 24(1.72%), P<0.001). Higher detection rate was found in screening group than control group in AF risk factors (1 or 2-3) subgroups and CHA2DS2-VASc score (2-3 or≥4) subgroups (P<0.05). Additionally, no difference was found between intensive screening group and single screening group (42(4.89%) vs. 37(3.41%), P=0.100). Intensive screening increased detection rate (7(6.93%) vs. 1(0.58%), P=0.009) only in residents those with low thrombosis risk (CHA2DS2-VaSc<2). Conclusions: Screening in elderly (≥65 years old) can significantly improve the detection rate of asymptomatic AF by wearing single lead dynamic ECG device. The rate increased significantly with the increase of risk factors associated with AF by single screening. In addition, repeat screening of the same method may only improve detection rates in the group with low risk thrombotic scores and non-combination of AF risk factors.Screening methods that are appropriate for different populations may require further exploration.
Male
;
Humans
;
Aged
;
Atrial Fibrillation/epidemiology*
;
Prospective Studies
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Electrocardiography
;
Risk Factors
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Stroke
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Risk Assessment
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Mass Screening/methods*
5.The effect of Brucella outer membrane protein L16, L19 on the expression of immune regulatory factors in THP-1 cells
Heng YANG ; Hongzhen XIE ; Jiamin YI ; Feihuan HU ; Hui REN ; Wenjing WANG
Chinese Journal of Endemiology 2023;42(5):345-350
Objective:To investigate the effect of recombinant lipoproteins of Brucella outer membrane protein 16, 19 (L16 and L19) on the expression of immune regulatory factors in human monocytic leukemia cell line (THP-1 cells). Methods:THP-1 cells activated with phorbol ester (PMA) were used as an in vitro experimental cell model, and a group design was used to co-culture L16, L19 and THP-1 cells (L16 stimulated group, L19 stimulated group), respectively. THP-1 cells activated with PMA were used as the control group. When co-cultured for 4 hours, immunofluorescence staining (IFS) and Western blotting were used to detect whether L16 and L19 entered the cells, respectively; when co-cultured for 12, 24 hours, real-time fluorescent quantitative PCR was used to measure the mRNA expression levels of interferon regulatory factor 1 (IRF-1) and trans activator protein of major histocompatibility complex class Ⅱ (CⅡTA); Western blotting was used to detect the protein expression levels of T cell immunoglobulin mucin-3 (Tim-3) and γ interferon receptor 1 (IFNGR1). Results:When co-cultured for 4 hours, L16 and L19 were observed entering THP-1 cells in the L16 stimulated group and L19 stimulated group, respectively. When co-cultured for 12 hours, the expression level of IRF-1 mRNA in the L16 stimulated group (0.16 ± 0.15) was significantly lower than that in the control group (1.00 ± 0.00, P < 0.05). When co-cultured for 24 hours, the expression level of CⅡTA mRNA in the L16 stimulated group (0.17 ± 0.10) was significantly lower than that in the control group (1.00 ± 0.00, P < 0.05). When co-cultured for 12 and 24 hours, there were no statistically significant differences in the expression levels of IRF-1 and CⅡTA mRNA between the L19 stimulated group and the control group ( P > 0.05). Western blotting results showed that there were statistically significant differences in the expression levels of INFGR1 and Tim-3 protein among the control group, L16 stimulated group, and L19 stimulated group after co-cultured for 12 and 24 hours ( F = 50.92, 6.80, 148.73, 156.57, P < 0.05). Among them, when co-cultured for 12 hours, the expression level of INFGR1 protein in the L16 and L19 stimulated groups were significantly lower than that in the control group, and the L19 stimulated group was higher than the L16 stimulated group ( P < 0.05), and the expression level of Tim-3 protein in the L19 stimulation group was higher than that in the control group ( P < 0.05). When co-cultured for 24 hours, the expression level of INFGR1 protein in the L16 and L19 stimulated groups were lower than that in the control group, and the L19 stimulated group was higher than that in the L16 stimulated group ( P < 0.05); and the expression level of Tim-3 protein in the L16 stimulated group was higher than that in the control group and L19 stimulated group ( P < 0.05). Conclusions:Brucella L16 can downregulate the expression levels of IRF-1 and CⅡTA mRNA in THP-1 cells. Both L16 and L19 can downregulate IFNGR1 and upregulate Tim-3 protein expression levels.
6.Research progress in microevolutionary process of excellent traits and quality of Dao-di herbs.
Cheng-Cai ZHANG ; Jia-Hui SUN ; Yi-Heng WANG ; Hong-Yang WANG ; Xiu-Zhi GUO ; Bin-Bin YAN ; Zhi SUN ; Sheng WANG ; Lan-Ping GUO
China Journal of Chinese Materia Medica 2023;48(22):6021-6029
Dao-di herbs are the treasure of Chinese materia medica and one of the characteristic research objects of traditional Chinese medicine(TCM). Probing into the microevolution of Dao-di herbs can help to reveal their biological essence and quality formation mechanisms. The progress in molecular biology and omics provides the possibility to elucidate the phylogenetic and quality forming characteristics of Dao-di herbs at the molecular level. In particular, genomics serves as a powerful tool to decipher the genetic origins of Dao-di herbs, and molecular markers have been widely used in the research on the genetic diversity and population structure of Dao-di herbs. Focusing on the excellent traits and quality of Dao-di herbs, this paper reviews the studies about the microevolution process of quality formation mechanisms of Dao-di herbs with the application of molecular markers and omics, aiming to underpin the protection and utilization of TCM resources.
Drugs, Chinese Herbal
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Phylogeny
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Plants, Medicinal/chemistry*
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Medicine, Chinese Traditional
;
Phenotype
7.Treatment Retention Rates of 3-monthly Paliperidone Palmitate and Risk Factors Associated with Discontinuation: A Population-based Cohort Study
Chien-Heng LIN ; Huang-Li LIN ; Chih-Lin CHIANG ; Yi-Wen CHEN ; Yan-Fang LIU ; Yen-Kuang YANG ; Chao-Hsiun TANG
Clinical Psychopharmacology and Neuroscience 2023;21(3):544-558
Objective:
Limited evidence exists regarding real-world 3-monthly paliperidone palmitate (PP3M) treatment retention and associated factors.
Methods:
We conducted a retrospective, nationwide cohort study using the Taiwan National Health Insurance Research Database between October 2017 and December 2019. Adult patients with schizophrenia initiated on PP3M were enrolled. The primary outcomes were time to PP3M discontinuation, time to psychiatric hospitalization, and the proportions of patients receiving the next PP3M dose within 120 days among first-, second-, and third-dose completers. Key covariates included prior PP1M duration and adequate PP3M initiation.
Results:
The PP3M treatment retention rates were 79.7%, 66.3%, and 52.5% after 6, 12, and 24 months, respectively, with 86.4%, 90.6%, and 90.0% of respective first-, second-, and third-dose completers receiving the next PP3M dose. Adequate PP3M initiation and prior PP1M treatment duration > 180 days were associated with favorable PP3M treatment retention. In multivariate analyses, PP1M durations of 180−360 days (adjusted relative risk [aRR], 1.76) or < 180 days (aRR, 2.79) were associated with PP3M discontinuation at the second dose. Inadequate PP3M initiation was associated with discontinuation at the third dose (aRR, 2.18). Patients fully adherent to PP3M treatment in the first year had a higher probability of being free from psychiatric hospitalization (86.7% at 2 years), compared with those partially adherent or non-adherent to PP3M in the first year.
Conclusion
Prior PP1M duration and adequate PP3M initiation are major factors affecting PP3M treatment retention. Higher PP3M treatment retention is associated with a lower risk of psychiatric hospitalization.
8.Pathological features and immune microenvironment in HER-2 intratumoral heterogeneous breast cancers.
Yi Ling YANG ; Yuan Ming SONG ; Hui Qin XUE ; Hui SUN ; Ya Qing LI ; Xiao Long QIAN ; Jiao JIAO ; Kun Peng LI ; Heng ZHANG ; Xiao Jing GUO
Chinese Journal of Oncology 2023;45(2):165-169
Objective: To observe the clinical pathology features, and immune microenvironment of HER-2 intratumoral heterogeneity breast cancer. Methods: Thirty cases of HER-2 intratumoral heterogeneous breast cancer were retrospectively analyzed in Tianjin Medical University Cancer Institute and Hospital from November 2017 to June 2020. HER-2 expression was detected by immunohistochemistry and verified by dual color silver-enhanced in-situ hybridization (D-SISH). HER-2 intratumoral positive and negative regions were divided. The pathological characteristics, subtype, and the level of tumor infiltrating lymphocytes (TILs) and the expression of programmed cell death-ligand 1 (PD-L1) were evaluated respectively. Results: The proportion of HER-2 positive cells of the breast cancer ranged from 10% to 90%. The pathological type was mainly invasive non-special typecarcinoma. Six cases presented different pathological types between HER-2 positive and negative regions. The HER-2-positive areas included 2 cases of carcinoma with apocrine differentiation, and the negative areas included 2 cases of invasive micropapillary carcinoma, 1 case of invasive papillary carcinoma, and 1 case of carcinoma with apocrine differentiation. In HER-2 positive regions, 17 cases were Luminal B and 13 cases were HER-2 overexpressed types. There were 22 cases of Luminal B and 8 cases of triple negative tumors in the HER-2 negative areas. The levels of TILs in HER-2 positive and negative areas accounted for 53.3% (16/30) and 26.7% (8/30), respectively, with a statistically significant difference (P=0.035). The positive expression of PD-L1 in HER-2 positive area and HER-2 negative area were 6 cases and 9 cases, respectively. Among 8 cases with HER-2 negative regions containing triple negative components, 4 cases were positive for PD-L1 expression. Conclusions: In the case of HER-2 intratumoral heterogeneity, it is necessary to pay attention to both HER-2 positive and negative regions, and evaluate subtype separately as far as possible. For HER-2 intratumoral heterogeneous breast cancer containing triple negative components, the treatment mode can be optimized by refining the intratumoral expression of PD-L1.
Humans
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Female
;
Breast Neoplasms/pathology*
;
Retrospective Studies
;
B7-H1 Antigen/metabolism*
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Lymphocytes, Tumor-Infiltrating/pathology*
;
Carcinoma
;
Tumor Microenvironment
;
Triple Negative Breast Neoplasms/pathology*
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Prognosis
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Biomarkers, Tumor/metabolism*
9.Development and validation of prognostic nomogram for malignant pleural mesothelioma.
Xiao Jie XIE ; Jian You CHEN ; Jie JIANG ; Hui DUAN ; Yi WU ; Xing Wen ZHANG ; Shen Jie YANG ; Wen ZHAO ; Sha Sha SHEN ; Li WU ; Bo HE ; Ying Ying DING ; Heng LUO ; Si Yun LIU ; Dan HAN
Chinese Journal of Oncology 2023;45(5):415-423
Objective: To development the prognostic nomogram for malignant pleural mesothelioma (MPM). Methods: Two hundred and ten patients pathologically confirmed as MPM were enrolled in this retrospective study from 2007 to 2020 in the People's Hospital of Chuxiong Yi Autonomous Prefecture, the First and Third Affiliated Hospital of Kunming Medical University, and divided into training (n=112) and test (n=98) sets according to the admission time. The observation factors included demography, symptoms, history, clinical score and stage, blood cell and biochemistry, tumor markers, pathology and treatment. The Cox proportional risk model was used to analyze the prognostic factors of 112 patients in the training set. According to the results of multivariate Cox regression analysis, the prognostic prediction nomogram was established. C-Index and calibration curve were used to evaluate the model's discrimination and consistency in raining and test sets, respectively. Patients were stratified according to the median risk score of nomogram in the training set. Log rank test was performed to compare the survival differences between the high and low risk groups in the two sets. Results: The median overall survival (OS) of 210 MPM patients was 384 days (IQR=472 days), and the 6-month, 1-year, 2-year, and 3-year survival rates were 75.7%, 52.6%, 19.7%, and 13.0%, respectively. Cox multivariate regression analysis showed that residence (HR=2.127, 95% CI: 1.154-3.920), serum albumin (HR=1.583, 95% CI: 1.017-2.464), clinical stage (stage Ⅳ: HR=3.073, 95% CI: 1.366-6.910) and the chemotherapy (HR=0.476, 95% CI: 0.292-0.777) were independent prognostic factors for MPM patients. The C-index of the nomogram established based on the results of Cox multivariate regression analysis in the training and test sets were 0.662 and 0.613, respectively. Calibration curves for both the training and test sets showed moderate consistency between the predicted and actual survival probabilities of MPM patients at 6 months, 1 year, and 2 years. The low-risk group had better outcomes than the high-risk group in both training (P=0.001) and test (P=0.003) sets. Conclusion: The survival prediction nomogram established based on routine clinical indicators of MPM patients provides a reliable tool for prognostic prediction and risk stratification.
Humans
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Mesothelioma, Malignant
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Prognosis
;
Nomograms
;
Retrospective Studies
;
Proportional Hazards Models

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