1.Development and prospects of predicting drug polymorphs technology
Mei GUO ; Wen-xing DING ; Bo PENG ; Jin-feng LIU ; Yi-fei SU ; Bin ZHU ; Guo-bin REN
Acta Pharmaceutica Sinica 2024;59(1):76-83
Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.
2.Effects of berberine on renal tubular epithelial cell injury in diabetic
Peng-Fei ZHANG ; Qiong-Xing BU ; Yan-Yan HENG ; Fei-Fei WANG ; Wei WEI
The Chinese Journal of Clinical Pharmacology 2024;40(3):358-362
Objective To study the effect of berberine on the damage of renal tubular epithelial cells(RETC)in diabetic in vitro.Methods RTEC were divided into control group,model group(high glucose),low dose experimental group(2 mg·L-1 berberine and high glucose),medium dose experimental group(4 mg·L-1 berberine and high glucose),high dose experimental group(8 mg·L-1 berberine and high glucose),BBM-H+miR-NC(transfected with mimics control group,8 mg·L-1 berberine and high glucose),BBM-H+miR-135b group(transfected with miR-135b mimics,8 mg·L-1 berberine and high glucose).Methyl thiazolyl tetrazolium(MTT)method was used to detect cell proliferation activity,flow cytometry was used to detect cell apoptosis rate,Western blot was used to detect the expression of B-cell lymphoma-2(Bcl-2)and Bel-associated X(Bax)proteins in cells,and reactive oxygen species(ROS)level were detected by chemical fluorescence method,thiobarbituric acid method was used to detect malondialdehyde(MDA)level,and xanthine oxidation method was used to detect superoxide dismutase(SOD)level,the levels of tumor necrosis factor-α(TNF-α),interleukin-8(IL-8)and interleukin-1β(IL-1 β)were detected by enzyme-linked immunosorbent assay(ELISA).Results The proliferative activity(OD value)of RTEC in control group,model group and low,medium,high dose experimental groups were 0.66±0.04,0.36±0.02,0.43±0.03,0.54±0.03,0.63±0.05;the apoptosis rates were(3.62±0.31)%,(29.41±2.33)%,(20.10±1.65)%,(15.02±1.25)%,(9.58±1.43)%;MDA were(1.04±0.12),(5.24±0.29),(3.45±0.22),(2.16±0.13),(1.60±0.11)nmol·mL-1;SOD were(240.22±12.06),(130.56±10.84),(169.62±12.50),(201.97±12.78),(236.74±14.52)U·mL-1;TNF-α were(31.25±2.51),(51.84±4.20),(44.52±2.61),(38.25±1.50),(32.10±1.78)mg·L-1;IL-8 were(10.59±1.14),(19.95±1.74),(16.10±1.03),(13.52±1.25),(11.17±0.92)mg·L-1;IL-1β were(23.01±1.45),(56.92±2.51),(43.20±1.96),(32.05±1.23),(26.37±2.48)mg·L-1.There were statistically significant differences between model group and control group(all P<0.05).Compared with the model group,the above indexes in low,medium and high dose experimental group were statistically significant(all P<0.05).The above indexes of BBM-H+miR-NC group were statistically significant compared with those of BBM-H+miR-135b group(all P<0.05).Conclusion Berberine can reduce diabetic renal tubular epithelial cell damage by down-regulating miR-135b.
3.Effect of ankyrin-repeat domain-containing protein 22 on human hepatoma cells and its mechanism
Junzhe CAI ; Songbai LIU ; Xiaobin FEI ; Peng LIU ; Changhao ZHU ; Xing WANG ; Yaozhen PAN
Journal of Clinical Hepatology 2024;40(5):989-996
Objective To investigate the effect of ankyrin-repeat domain-containing protein 22(ANKRD22)on the proliferation,invasion,and migration of human hepatoma cells and its molecular mechanism.Methods The TCGA database was used to analyze the expression level of ANKRD22 in normal liver tissue and hepatocellular carcinoma tissue and its association with prognosis.Western Blot and qRT-PCR were used to measure the expression of ANKRD22 in human normal liver cells(L-02)and human hepatoma cells(Huh7,HepG2,MHCC-97H,SK-HEP-1,and SMMC-7721);CCK-8 assay,EdU,wound healing assay,and Transwell assay were used to observe the effect of ANKRD22 on the proliferation,invasion,and migration of hepatoma cells;Western Blot was used to investigate the association of ANKRD22 with cyclins and EMT-related proteins;KEGG and ssGSEA analyses were performed to investigate the mechanism of action of ANKRD22 in hepatoma cells,and related experiments were conducted for validation.The independent-samples t-test was used for comparison of continuous data between two groups;a one-way analysis of variance was used for comparison between multiple groups,and the least significant difference t-test was used for further comparison between two groups.Results In the TCGA database,the expression level of ANKRD22 in hepatoma tissue was significantly higher than that in normal liver tissue(t=5.083,P<0.05),and the patients with a high expression level of ANKRD22 had longer overall survival and disease-related survival than those with a low expression level of ANKRD22(P<0.05).The expression level of ANKRD22 in various human hepatoma cell lines was higher than that in human normal liver cells(all P<0.05).Cell proliferation assay showed that the ANKRD22 overexpression group had significantly higher EdU positive rate and proliferation rate than the Vector group(t=19.60 and 6.72,both P<0.001),and compared with the si-NC group,the si-ANKRD22#2 group and the si-ANKRD22#3 group had significantly lower EdU positive rate and proliferation rate(all P<0.001).Compared with the Vector group,the overexpression group had significantly higher expression levels of Cyclin E1,Cyclin D1,CDK7,and CDK4(t=3.54,4.95,6.34,and 5.19,all P<0.01),and the si-ANKRD22#2 group and the si-ANKRD22#3 group had significantly lower expression levels than the si-NC group(all P<0.001).The overexpression group had a significantly lower expression level of P27 than the Vector group(t=6.12,P<0.001),and the si-ANKRD22#2 group and the si-ANKRD22#3 group had a significantly higher expression level than the si-NC group(both P<0.001).Invasion and migration experiments showed that compared with the Vector group,the ANKRD22 overexpression group had significantly higher migration rate and number of crossings through the membrane(migration group and invasion group)(t=5.01,25.60,and 3.67,all P<0.05),and compared with the si-NC group,thesi-ANKRD22#2 group and the si-ANKRD22#3 group had significantly lower migration rate and number of crossings through the membrane(migration group and invasion group)(all P<0.01).The overexpression group had significantly higher expression levels of N-cadherin,Vimentin,and Snail than the Vector group(t=12.13,8.85,and 13.97,all P<0.001),and the si-ANKRD22#2 group and the si-ANKRD22#3 group had significantly lower expression levels than the si-NC group(all P<0.001);the overexpression group had a significantly lower expression level of E-cadherin than the Vector group(t=4.98,P<0.01),and the si-ANKRD22#2 group and the si-ANKRD22#3 group had a significantly higher expression level than the si-NC group(both P<0.001).The KEGG enrichment analysis and the ssGSEA analysis showed that ANKRD22 was associated with the PI3K/AKT/mTOR signaling pathway in hepatocellular carcinoma,and the overexpression group had significantly higher expression levels of p-AKT/AKT,p-PI3K/PI3K,and p-mTOR/mTOR than the Vector group(t=12.21,3.43,and 9.75,all P<0.01),and the si-ANKRD22#2 group and the si-ANKRD22#3 group had significantly lower expression levels than the si-NC group(all P<0.001).Conclusion ANKRD22 is highly expressed in hepatoma cells and can promote the proliferation,invasion,and migration of hepatoma cells and the activation of the PI3K/AKT/mTOR signaling pathway.
4.Chiral LC-MS-guided isolation of angular-type pyranocoumarins from Peucedani Radix
Yang YANG ; Xing-cheng GONG ; Peng-fei TU ; Wen-jing LIU ; Yue-lin SONG
Acta Pharmaceutica Sinica 2024;59(8):2343-2349
This study utilized a chiral liquid chromatography-mass spectrometry (LC
5.Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cra-nial Sutures in Northern Chinese Han Adults
Xuan WEI ; Yu-Shan CHEN ; Jie DING ; Chang-Xing SONG ; Jun-Jing WANG ; Zhao PENG ; Zhen-Hua DENG ; Xu YI ; Fei FAN
Journal of Forensic Medicine 2024;40(2):128-134,142
Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.
6.Co-infection of Chlamydia pneumoniae and SARS-CoV-2 and its effect on the secretion of inflammatory cytokines
Jia-Yan LI ; Li-Ping YUAN ; Qing-Kai LUO ; Ye-Fei LEI ; Yuan LI ; Feng-Hua ZHANG ; Li-Xiu PENG ; Yu-Qi OUYANG ; Shi-Xing TANG ; Hong-Liang CHEN
Chinese Journal of Infection Control 2024;23(11):1391-1397
Objective To explore characteristics of co-infection of Chlamydia pneumoniae(Cpn)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),and identify their effect on SARS-CoV-2-induced inflammatory response.Methods Patients with coronavirus disease 2019(COVID-19)who received treatment in a hospital in Chenzhou City from December 20,2022 to February 20,2023 were selected.According to the severity of COVID-19,severe and critical cases were classified as the severe symptom group,while mild and moderate cases were classified as the mild symptom group.Meanwhile,according to the age of patients(≥18 years old as adults,<18 years old as juveniles),they were divided into the adult severe symptom group,adult mild symptom group,juvenile severe symptom group,and juvenile mild symptom group.Propensity score was adopted to match age,gender,and under-lying diseases of patients in severe symptom and mild symptom group in a 1∶1 ratio.Bronchoalveolar lavage fluid(BALF),throat swabs,and serum specimens of patients were collected.Cpn IgG/IgM antibody was detected by enzyme-linked immunosorbent assay(ELISA),levels of 12 common cytokines(including interleukin-8[IL-8])in BALF were detected by flow cytometry,differences among groups were compared.Results A total of 102 patients were included,with 61 severe and critical(severe symptom)patients,as well as 41 mild and moderate(mild symp-tom)patients.There were 71 patients aged ≥18 years and 31 juvenile patients aged<18 years.There were 39 pa-tients in the adult severe symptom group and 32 in the adult mild symptom group,and 30 pairs were successfully matched through propensity score analysis.There were 22 patients in the juvenile severe symptom group and 9 in the juvenile mild symptom group,and 8 pairs were successfully matched through propensity score analysis.Among COVID-19 patients,the positive rates of Cpn IgG and IgM were 36.27%(n=37)and 8.82%(n=9),respective-ly,with 1 case positive for both Cpn IgG and IgM.The level of interferon(IFN)-α in serum specimens from adult patients with severe symptom combined with positive Cpn IgG was higher than that of IgG negative patients(P=0.037).There was no statistically significant difference in the levels of other cytokines in BALF and serum speci-mens between the two groups of patients(all P>0.05).The levels of IL-8 and IL-17 in serum specimens of patients with positive Cpn IgG in the adult mild symptom group were both higher than those in Cpn IgG negative patients(both P<0.05).The levels of IL-8 in both BALF and serum specimens from Cpn IgM positivity patients in the ju-venile mild symptom group were higher than those from patients with negative Cpn IgM(both P<0.05).Logistic regression analysis results showed that Cpn IgG and IgM positivity were not risk factors for the development of se-vere COVID-19.Conclusion Combined Cpn infection is not a risk factor for the development of severe symptom in COVID-19 patients,and Cpn infection has limited impact on the secretion of inflammatory factors caused by SARS-CoV-2.
7.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
8.Eleven new sesquiterpenoids from peeled stems of Syringa pinnatifolia.
Hong-Ying CHEN ; Shun-Gang JIAO ; An-Ni LI ; Chang-Xin LIU ; Pan-Long CHEN ; Su-Yi-le CHEN ; Juan LIU ; Peng-Fei TU ; Xing-Yun CHAI
China Journal of Chinese Materia Medica 2023;48(3):689-699
The peeled stems of Syringa pinnatifolia(SP) is a representative Mongolian folk medicine with the effects of anti-depression, heat clearance, pain relief, and respiration improvement. It has been clinically used for the treatment of coronary heart disease, insomnia, asthma, and other cardiopulmonary diseases. As part of the systematic study on pharmacological substances of SP, 11 new sesquiterpenoids were isolated from the terpene-containing fractions of the ethanol extract of SP by liquid chromatography-mass spectrometry(LC-MS) and proton nuclear magnetic resonance(~1H-NMR) guided isolation methods. The planar structures of the sesquiterpenoids were identified by MS, 1D NMR, and 2D NMR data analysis, and were named pinnatanoids C and D(1 and 2), and alashanoids T-ZI(3-11), respectively. The structure types of the sesquiterpenoids included pinnatane, humulane, seco-humulane, guaiane, carryophyllane, seco-erimolphane, isodaucane, and other types. However, limited to the low content of compounds, the existence of multiple chiral centers, the flexibility of the structure, or lack of ultraviolet absorption, the stereoscopic configuration remained unresolved. The discovery of various sesquiterpenoids enriches the understanding of the chemical composition of the genus and species and provides references for further analysis of pharmacological substances of SP.
Syringa
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Sesquiterpenes
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Terpenes
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Asthma
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Chromatography, Liquid
9.Medical micro- and nanomotors in the body.
Huaan LI ; Fei PENG ; Xiaohui YAN ; Chun MAO ; Xing MA ; Daniela A WILSON ; Qiang HE ; Yingfeng TU
Acta Pharmaceutica Sinica B 2023;13(2):517-541
Attributed to the miniaturized body size and active mobility, micro- and nanomotors (MNMs) have demonstrated tremendous potential for medical applications. However, from bench to bedside, massive efforts are needed to address critical issues, such as cost-effective fabrication, on-demand integration of multiple functions, biocompatibility, biodegradability, controlled propulsion and in vivo navigation. Herein, we summarize the advances of biomedical MNMs reported in the past two decades, with particular emphasis on the design, fabrication, propulsion, navigation, and the abilities of biological barriers penetration, biosensing, diagnosis, minimally invasive surgery and targeted cargo delivery. Future perspectives and challenges are discussed as well. This review can lay the foundation for the future direction of medical MNMs, pushing one step forward on the road to achieving practical theranostics using MNMs.
10.Ketogenic diet improves low temperature tolerance in mice by up-regulating PPARα in the liver and brown adipose tissue.
Chen-Han LI ; Wei ZHANG ; Pan-Pan WANG ; Peng-Fei ZHANG ; Jiong AN ; Hong-Yan YANG ; Feng GAO ; Gui-Ling WU ; Xing ZHANG
Acta Physiologica Sinica 2023;75(2):171-178
The aim of the present study was to investigate the effects of short-term ketogenic diet on the low temperature tolerance of mice and the involvement of peroxisome proliferator-activated receptor α (PPARα). C57BL/6J mice were divided into two groups: normal diet (WT+ND) group and ketogenic diet (WT+KD) group. After being fed with normal or ketogenic diet at room temperature for 2 d, the mice were exposed to 4 °C low temperature for 12 h. The changes in core temperature, blood glucose, blood pressure of mice under low temperature condition were detected, and the protein expression levels of PPARα and mitochondrial uncoupling protein 1 (UCP1) were detected by Western blot. PPARα knockout mice were divided into normal diet (PPARα-/-+ND) group and ketogenic diet (PPARα-/-+KD) group. After being fed with the normal or ketogenic diet at room temperature for 2 d, the mice were exposed to 4 °C low temperature for 12 h. The above indicators were also detected. The results showed that, at room temperature, the protein expression levels of PPARα and UCP1 in liver and brown adipose tissue of WT+KD group were significantly up-regulated, compared with those of WT+ND group. Under low temperature condition, compared with WT+ND, the core temperature and blood glucose of WT+KD group were increased, while mean arterial pressure was decreased; The ketogenic diet up-regulated PPARα protein expression in brown adipose tissue, as well as UCP1 protein expression in liver and brown adipose tissue of WT+KD group. Under low temperature condition, compared to WT+ND group, PPARα-/-+ND group exhibited decreased core temperature and down-regulated PPARα and UCP1 protein expression levels in liver, skeletal muscle, white and brown adipose tissue. Compared to the PPARα-/-+ND group, the PPARα-/-+KD group exhibited decreased core temperature and did not show any difference in the protein expression of UCP1 in liver, skeletal muscle, white and brown adipose tissue. These results suggest that the ketogenic diet promotes UCP1 expression by up-regulating PPARα, thus improving low temperature tolerance of mice. Therefore, short-term ketogenic diet can be used as a potential intervention to improve the low temperature tolerance.
Animals
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Mice
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Adipose Tissue, Brown/metabolism*
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PPAR alpha/pharmacology*
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Diet, Ketogenic
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Uncoupling Protein 1/metabolism*
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Blood Glucose/metabolism*
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Temperature
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Mice, Inbred C57BL
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Liver
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Adipose Tissue/metabolism*

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