1.Acute Stress and Chronic Stress Change Brain-Derived Neurotrophic Factor (BDNF) and Tyrosine Kinase-Coupled Receptor (TrkB) Expression in Both Young and Aged Rat Hippocampus.
Shou Sen SHI ; Shu Hong SHAO ; Bang Ping YUAN ; Fang PAN ; Zun Ling LI
Yonsei Medical Journal 2010;51(5):661-671
PURPOSE: The purpose of this study is to explore the dynamic change of brain-derived neurotrophic factor (BDNF) mRNA, protein, and tyrosine kinase-coupled receptor (TrkB) mRNA of the rat hippocampus under different stress conditions and to explore the influence of senescence on the productions expression. MATERIALS AND METHODS: By using forced-swimming in 4degrees C cold ice water and 25degrees C warm water, young and aged male rats were randomly divided into acute stress (AS) and chronic mild repeated stress (CMRS) subgroups, respectively. BDNF productions and TrkB mRNA in the hippocampus were detected by using Western-blotting and reverse transcription-polymerase chain reaction (RT-PCR), separately, at 15, 30, 60, 180, and 720 min after the last stress session. RESULTS: The short AS induced a significant increase in BDNF mRNA and protein in both age groups, but the changes in the young group were substantially greater than those of the aged group (p < 0.005). The CMRS resulted in a decrease in BDNF mRNA and protein, but a significant increase in TrkB mRNA in both young and age groups. The expression of BDNF mRNA and protein in the AS groups were higher than in the CMRS groups at 15, 30, and 60 min after stress. CONCLUSION: The results indicated that the up/down-regulation of BDNF and TrkB were affected by aging and the stimulus paradigm, which might reflect important mechanisms by which the hippocampus copes with stressful stimuli.
Animals
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Blotting, Western
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Brain-Derived Neurotrophic Factor/genetics/*metabolism
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Corticosterone/blood
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*Gene Expression Regulation
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Hippocampus/*metabolism
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Male
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Radioimmunoassay
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Random Allocation
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Rats
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Rats, Wistar
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Receptor, trkB/genetics/*metabolism
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Reverse Transcriptase Polymerase Chain Reaction
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Stress, Physiological/genetics/*physiology
2.Impact of ideal health behaviors and health factors on the detection rate of the carotid plaques.
Jing-sheng GAO ; Da-sen SANG ; Yun LI ; Hong-min LIU ; Qian ZHANG ; Xian-quan SHI ; Jun-Juan LI ; Xing-quan ZHAO ; Shou-ling WU
Chinese Journal of Cardiology 2012;40(11):958-962
OBJECTIVETo explore the impact of ideal health behaviors and health factors on the detection rate of the carotid plaques.
METHODSSubjects with previous stroke, TIA, myocardial infarction were excluded from the study. A total of 5852 employees (active and retired employers from Tangshan Kailuan company) aged 40 years and over were included through stratified random sampling. Information was obtained from the unified questionnaire, measurements of blood biochemistry and carotid artery ultrasonography.
RESULTS(1) The carotid artery plaque detection rates were 67.0%, 52.3%, 50.5%, 44.3%, 37.2%, 31.9%, 26.1% and 4.2% in the groups with 0, 1, 2, 3, 4, 5, 6 and 7 components of ideal cardiovascular health behaviors and health factors, respectively. (2) The carotid artery plaques total burden score [TBS: M (Q1, Q3)] were 7(7,7), 7(5,7), 7(5,7), 5(3,5), 5(3,5), 5(3,5), 3(3,3), 3(3,3) in the groups with 0, 1, 2, 3, 4, 5, 6 and 7 components of ideal cardiovascular health behaviors and health factors, respectively. (3) Multiple logistic regression analysis showed that 3, 4, 5 and greater than 5 components of ideal cardiovascular health behaviors and health factors were protective factors against carotid plaques compared to less than 2 components of ideal cardiovascular health behaviors and factors (all P < 0.05), the OR (95%CI) values were 0.78 (0.62 - 0.98), 0.53(0.62 - 0.98), 0.52 (0.39 - 0.71) and 0.40 (0.25 - 0.64), respectively.
CONCLUSIONIncreasing ideal cardiovascular health behaviors and factors are negatively linked with the detection rate and TBS of the carotid plaques.
Adult ; Aged ; Carotid Stenosis ; diagnostic imaging ; epidemiology ; Cross-Sectional Studies ; Female ; Health Behavior ; Humans ; Male ; Middle Aged ; Risk Factors ; Smoking ; Surveys and Questionnaires ; Ultrasonography
4.A review of the use of pteridophytes for treating human ailments.
Xavier-Ravi BASKARAN ; Antony-Varuvel GEO VIGILA ; Shou-Zhou ZHANG ; Shi-Xiu FENG ; Wen-Bo LIAO
Journal of Zhejiang University. Science. B 2018;19(2):85-119
The aim of this review was to explore the pharmacological activity of early tracheophytes (pteridophytes) as an alternative medicine for treating human ailments. As the first vascular plants, pteridophytes (aka, ferns and fern allies) are an ancient lineage, and human beings have been exploring and using taxa from this lineage for over 2000 years because of their beneficial properties. We have documented the medicinal uses of pteridophytes belonging to thirty different families. The lycophyte Selaginella sp. was shown in earlier studies to have multiple pharmacological activity, such as antioxidant, anti-inflammatory, anti-cancer, antidiabetic, antiviral, antimicrobial, and anti-Alzheimer properties. Among all the pteridophytes examined, taxa from the Pteridaceae, Polypodiaceae, and Adiantaceae exhibited significant medicinal activity. Based on our review, many pteridophytes have properties that could be used in alternative medicine for treatment of various human illnesses. Biotechnological tools can be used to preserve and even improve their bioactive molecules for the preparation of medicines against illness. Even though several studies have reported medicinal uses of ferns, the possible bioactive compounds of several pteridophytes have not been identified. Furthermore, their optimal dosage level and treatment strategies still need to be determined. Finally, the future direction of pteridophyte research is discussed.
Anti-Infective Agents/pharmacology*
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Anti-Inflammatory Agents/pharmacology*
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Antineoplastic Agents, Phytogenic/pharmacology*
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Antioxidants/pharmacology*
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Humans
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Phytochemicals/pharmacology*
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Phytotherapy
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Plant Extracts/pharmacology*
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Tracheophyta/chemistry*
5.Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
Yan MA ; Dong Shan ZHU ; Ren Bo CHEN ; Nan Nan SHI ; Si Hong LIU ; Yi Pin FAN ; Gui Hui WU ; Pu Ye YANG ; Jiang Feng BAI ; Hong CHEN ; Li Ying CHEN ; Qiao FENG ; Tuan Mao GUO ; Yong HOU ; Gui Fen HU ; Xiao Mei HU ; Yun Hong HU ; Jin HUANG ; Qiu Hua HUANG ; Shao Zhen HUANG ; Liang JI ; Hai Hao JIN ; Xiao LEI ; Chun Yan LI ; Min Qing LI ; Qun Tang LI ; Xian Yong LI ; Hong De LIU ; Jin Ping LIU ; Zhang LIU ; Yu Ting MA ; Ya MAO ; Liu Fen MO ; Hui NA ; Jing Wei WANG ; Fang Li SONG ; Sheng SUN ; Dong Ting WANG ; Ming Xuan WANG ; Xiao Yan WANG ; Yin Zhen WANG ; Yu Dong WANG ; Wei WU ; Lan Ping WU ; Yan Hua XIAO ; Hai Jun XIE ; Hong Ming XU ; Shou Fang XU ; Rui Xia XUE ; Chun YANG ; Kai Jun YANG ; Sheng Li YUAN ; Gong Qi ZHANG ; Jin Bo ZHANG ; Lin Song ZHANG ; Shu Sen ZHAO ; Wan Ying ZHAO ; Kai ZHENG ; Ying Chun ZHOU ; Jun Teng ZHU ; Tian Qing ZHU ; Hua Min ZHANG ; Yan Ping WANG ; Yong Yan WANG
Biomedical and Environmental Sciences 2020;33(12):893-905
Objective:
Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.
Methods:
A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio (
Results:
Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks.
Conclusion
Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult
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Aged
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COVID-19/virology*
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China/epidemiology*
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Comorbidity
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Female
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Humans
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Male
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Middle Aged
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Retrospective Studies
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Severity of Illness Index
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Treatment Outcome