1.Association of Dietary Preferences with All-Cause and Cause-Specific Mortality: Prospective Cohort Study of 1,160,312 Adults in China.
Wen Ru SHI ; Si Tong WEI ; Qing Mei HUANG ; Huan CHEN ; Dong SHEN ; Bo Feng ZHU ; Chen MAO
Biomedical and Environmental Sciences 2025;38(9):1120-1128
OBJECTIVE:
Although dietary preferences influence chronic diseases, few studies have linked dietary preferences to mortality risk, particularly in large cohorts. To investigate the relationship between dietary preferences and mortality risk (all-cause, cancer, and cardiovascular disease [CVD]) in a large adult cohort.
METHODS:
A cohort of 1,160,312 adults (mean age 62.48 ± 9.55) from the Shenzhen Healthcare Big Data Cohort (SHBDC) was analyzed. Hazard ratios ( HRs) for mortality were estimated using the Cox proportional hazards model.
RESULTS:
The study identified 12,308 all-cause deaths, of which 3,865 (31.4%) were cancer-related and 3,576 (29.1%) were attributed to CVD. Compared with a mixed diet of meat and vegetables, a mainly meat-based diet (hazard ratio [ HR] = 1.13; 95% confidence interval [ CI]: 1.02, 1.27) associated with a higher risk of all-cause mortality, while mainly vegetarian ( HR = 0.87; 95% CI: 0.78, 0.97) was linked to a reduced risk. Furthermore, there was a stronger correlation between mortality risk and dietary preference in the > 65 age range.
CONCLUSION
A meat-based diet was associated with an increased risk of all-cause mortality, whereas a mainly vegetarian diet was linked to a reduced risk.
Humans
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China/epidemiology*
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Middle Aged
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Male
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Female
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Prospective Studies
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Aged
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Cardiovascular Diseases/mortality*
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Diet/statistics & numerical data*
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Neoplasms/mortality*
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Adult
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Cause of Death
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Food Preferences
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Proportional Hazards Models
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Mortality
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Cohort Studies
2.GC Fingerprint and Multi-component Content Determination of Xiangsha Yangwei
Yiqing MAO ; Liqing TONG ; Ying ZHU ; Qing ZHANG ; Wenting LIU ; Yu CAO
Herald of Medicine 2024;43(1):115-121
Objective To establish the method of fingerprint and content determination of multi-component for Xiangsha Yangwei pill by gas chromatography(GC).Methods The GC fingerprint of Xiangsha Yangwei pill was found,and the peak attribution was carried out.The contents of limonene,eucalyptol,camphor,borneol,bornyl acetate,patchouli alcohol,pogostone,and α-cyperone were determined.Results The fingerprint similarity of 56 batches of Xiangsha Yangwei pill were 0.33-0.99,28 common peaks were confirmed,and 14 known components were identified.Limonene,eucalyptol,camphor,borneol,bornyl acetate,patchouli alcohol,pogostone and α-cyperone showed good linearity within the determined ranges(14.30-286.08,24.52-490.44,16.14-322.88,9.40-187.95,15.39-307.83,25.78-515.60,19.95-398.90,and 24.87-497.30 μg·mL-1).The average recoveries were 101.20%,97.90%,93.97%,94.23%,102.94%,100.54%,99.16%,and 98.31%;with the RSDs were 2.41%,1.48%,1.65%,2.00%,1.93%,2.30%,2.07%,and 2.38%,respectively.The concentrations of eight components were 0.2-959.1,0.3-420.4,1.0-542.6,0.0-64.5,0.0-364.2,0.0-339.6,0.0-130.7,0.0-82.0 μg·g-1,respectively.Conclusion The fingerprint and multi-component determination method can be used for the quality control and evaluation of Xiangsha Yangwei pill.
3.Molecular diagnosis and treatment of meningiomas: an expert consensus (2022).
Jiaojiao DENG ; Lingyang HUA ; Liuguan BIAN ; Hong CHEN ; Ligang CHEN ; Hongwei CHENG ; Changwu DOU ; Dangmurenjiapu GENG ; Tao HONG ; Hongming JI ; Yugang JIANG ; Qing LAN ; Gang LI ; Zhixiong LIU ; Songtao QI ; Yan QU ; Songsheng SHI ; Xiaochuan SUN ; Haijun WANG ; Yongping YOU ; Hualin YU ; Shuyuan YUE ; Jianming ZHANG ; Xiaohua ZHANG ; Shuo WANG ; Ying MAO ; Ping ZHONG ; Ye GONG
Chinese Medical Journal 2022;135(16):1894-1912
ABSTRACT:
Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients.
REGISTRATION
Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
Humans
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Meningioma/pathology*
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Consensus
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Neurosurgical Procedures
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Meningeal Neoplasms/pathology*
4.Retraction note: TGF-β1-regulated miR-3691-3p targets E2F3 and PRDM1 to inhibit prostate cancer progression.
Yue-Mei HU ; Xiao-Li LOU ; Bao-Zhu LIU ; Li SUN ; Shan WAN ; Lei WU ; Xin ZHAO ; Qing ZHOU ; Mao-Min SUN ; Kun TAO ; Yong-Sheng ZHANG ; Shou-Li WANG
Asian Journal of Andrology 2022;24(6):684-684
5.3- to 24-month Follow-up on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge: Results from a Prospective, Multicenter Study
Ya Jing WANG ; Yu Xing ZONG ; Hui Gui WU ; Lin Yuan QI ; Zhen Hui LI ; Yu Xin JI ; Lin TONG ; Lei ZHANG ; Bo Ming YANG ; Ye Pu YANG ; Ke Ji LI ; Rong Fu XIAO ; Song Lin ZHANG ; Hong Yun HU ; De Hong LIU ; Fang Shou XU ; Sheng SUN ; Wei WU ; Ya MAO ; Qing Min LI ; Hua Hao HOU ; Yuan Zhao GONG ; Yang GUO ; Wen Li JIAO ; Jin QIN ; Yi Ding WANG ; Fang WANG ; Li GUAN ; Gang LIN ; Yan MA ; Ping Yan WANG ; Nan Nan SHI
Biomedical and Environmental Sciences 2022;35(12):1091-1099
Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9%) were men. Among them, nearly two-thirds (62.5%) of the survivors were moderate, three (9.4%) were severe, and more than half (59.4%) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6% at 3 months to 15.8% at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1%) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.
6.TGF-β1-regulated miR-3691-3p targets
Yue-Mei HU ; Xiao-Li LOU ; Bao-Zhu LIU ; Li SUN ; Shan WAN ; Lei WU ; Xin ZHAO ; Qing ZHOU ; Mao-Min SUN ; Kun TAO ; Yong-Sheng ZHANG ; Shou-Li WANG
Asian Journal of Andrology 2021;23(2):188-196
Transforming growth factor-β1 (TGF-β1) acts as a tumor promoter in advanced prostate cancer (PCa). We speculated that microRNAs (miRNAs) that are inhibited by TGF-β1 might exert anti-tumor effects. To assess this, we identified several miRNAs downregulated by TGF-β1 in PCa cell lines and selected miR-3691-3p for detailed analysis as a candidate anti-oncogene miRNA. miR-3691-3p was expressed at significantly lower levels in human PCa tissue compared with paired benign prostatic hyperplasia tissue, and its expression level correlated inversely with aggressive clinical pathological features. Overexpression of miR-3691-3p in PCa cell lines inhibited proliferation, migration, and invasion, and promoted apoptosis. The miR-3691-3p target genes E2F transcription factor 3 (E2F3) and PR domain containing 1, with ZNF domain (PRDM1) were upregulated in miR-3691-3p-overexpressing PCa cells, and silencing of E2F3 or PRDM1 suppressed PCa cell proliferation, migration, and invasion. Treatment of mice bearing PCa xenografts with a miR-3691-3p agomir inhibited tumor growth and promoted tumor cell apoptosis. Consistent with the negative regulation of E2F3 and PRDM1 by miR-3691-3p, both proteins were overexpressed in clinical PCa specimens compared with noncancerous prostate tissue. Our results indicate that TGF-β1-regulated miR-3691-3p acts as an anti-oncogene in PCa by downregulating E2F3 and PRDM1. These results provide novel insights into the mechanisms by which TGF-β1 contributes to the progression of PCa.
7.Biallelic mutations in CDC20 cause female infertility characterized by abnormalities in oocyte maturation and early embryonic development.
Lin ZHAO ; Songguo XUE ; Zhongyuan YAO ; Juanzi SHI ; Biaobang CHEN ; Ling WU ; Lihua SUN ; Yao XU ; Zheng YAN ; Bin LI ; Xiaoyan MAO ; Jing FU ; Zhihua ZHANG ; Jian MU ; Wenjing WANG ; Jing DU ; Shuai LIU ; Jie DONG ; Weijie WANG ; Qiaoli LI ; Lin HE ; Li JIN ; Xiaozhen LIANG ; Yanping KUANG ; Xiaoxi SUN ; Lei WANG ; Qing SANG
Protein & Cell 2020;11(12):921-927
8.Depressive severity associated with cesarean section in young depressed individuals
Yang XIAO-TONG ; Zhang WEN-RUI ; Tian ZI-CHEN ; Wang KUN ; Ding WEI-JUN ; Liu YUAN ; Wang CHUN-XIU ; Leng HAI-XIA ; Peng MAO ; Zhao WEN-FENG ; Li JIA-YI ; Yang LEI ; Zhang XING-YUE ; Wu LEI ; Wang JUN-HUI ; Fernandez ALEJANDRO ; Si TIAN-MEI ; Fu LIU-HUI ; Ghia JEAN-ERIC ; Dong HUI-QING ; Wang YU-PING ; Wang HONG-XING
Chinese Medical Journal 2019;132(15):1883-1884
9.Research progress of macrophage autophagy in atherosclerosis
Si-Yu MI ; Ying ZHOU ; Jing-Qiao WANG ; Mao-Qing TONG ; Xiao-Min CHEN
Basic & Clinical Medicine 2018;38(7):1020-1024
Autophagy is a self-protecting cell catabolic pathway. That macrophages involved in lipid metabolism dis-orders are the basis of atherosclerotic lesions. Autophagy plays an important role in the inhibition of inflammation and apoptosis and the promotion of cholesterol efflux. The macrophage autophagy can promote lipid metabolism, re-duce the formation of foam cells and inflammation signal, thereby inhibit atherosclerosis. Induction of macrophage autophagy may have potential significance in the treatment of atherosclerosis.
10.Amplitude-Integrated Electroencephalography Predicts Outcome in Patients with Coma After Acute Brain Injury.
Wendong YOU ; Qilin TANG ; Xiang WU ; Junfeng FENG ; Qing MAO ; Guoyi GAO ; Jiyao JIANG
Neuroscience Bulletin 2018;34(4):639-646
Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography (aEEG) for neurological outcomes in coma patients. From January 2013 to January 2016, 128 coma patients after acute brain injury were prospectively enrolled and monitored with aEEG. The 6-month neurological outcome was evaluated using the Cerebral Performance Category Scale. aEEG monitoring commenced at a median of 7.5 days after coma onset. Continuous normal voltage predicted a good 6-month neurological outcome with a sensitivity of 93.6% and specificity of 85.2%. In contrast, continuous extremely low voltage, burst-suppression, or a flat tracing was correlated with poor 6-month neurological outcome with a sensitivity of 76.5% and specificity of 100%. In conclusion, aEEG is a promising predictor of 6-month neurological outcome for coma patients after acute brain injury.
Brain
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physiopathology
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Brain Injuries
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complications
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diagnosis
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physiopathology
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Coma
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diagnosis
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etiology
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physiopathology
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Electroencephalography
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methods
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Female
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Follow-Up Studies
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Humans
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Male
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Middle Aged
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Neurophysiological Monitoring
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methods
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Prognosis
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Prospective Studies
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Sensitivity and Specificity
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Severity of Illness Index

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