1.Canagliflozin ameliorates ferritinophagy in HFpEF rats.
Sai MA ; Qing-Juan ZUO ; Li-Li HE ; Guo-Rui ZHANG ; Ting-Ting ZHANG ; Zhong-Li WANG ; Jian-Long ZHAI ; Yi-Fang GUO
Journal of Geriatric Cardiology 2025;22(1):178-189
BACKGROUND:
Recent studies have shown that sodium-glucose cotransporters-2 (SGLT2) inhibitors significantly improve major adverse cardiovascular events in heart failure with preserved ejection fraction (HFpEF) patients, but the exact mechanism is unknown. Ferritinophagy is a special form of selective autophagy that participates in ferroptosis. In this study, we aimed to investigate whether ferritinophagy was activated during the occurrence of HFpEF, and whether canagliflozin (CANA) could inhibite ferritinophagy.
METHODS:
We reared Dahl salt-sensitive (DSS) rats on a high-salt diet to construct a hypertensive HFpEF model, and simultaneously administered CANA intervention. Then we detected indicators related to ferritinophagy.
RESULTS:
The expression of nuclear receptor coactivator 4 (NCOA4), as well as microtubule-associated proteins light chain 3 (LC3), Bcl-2 interacting protein 1 (Beclin-1) and p62, were upregulated in HFpEF rats, accompanied by the downregulation of ferritin heavy chain 1 (FTH1), upregulation of mitochondrial iron transporter sideroflexin1 (SFXN1) and increased reactive oxygen species (ROS) production. Above changes were diminished by CANA.
CONCLUSION
Ferritinophagy is activated in HFpEF rats and then inhibited by CANA, leading to HFpEF benefits. The inhibition of ferritinophagy could provide new prospective targets for the prevention and treatment of HFpEF, and provide new ideas for investigating the mechanism of cardiovascular benefit of SGLT2 inhibitors.
2.Based on LC-MS technology explored the metabolomics of Agrimonia pilosa intervening in non-small cell lung cancer A549 cells
Ze-hua TONG ; Wen-jun GUO ; Han-rui ZOU ; Li-wei XU ; Ya-juan XU ; Wei-fang WANG
Acta Pharmaceutica Sinica 2024;59(3):704-712
The objective of this study was to analyze the effects on cell viability, apoptosis, and cell cycle of non-small cell lung cancer (NSCLC) A549 cells after intervention with
3.Mechanistic studies on the anti-DOX cardiotoxicity of polysaccharides of Brassica rapa L. based on the regulation of Nrf2/HO-1 signaling pathway
Jun-ting GUO ; Ting-ting ZHAO ; Talpbek YESEM ; Rui-juan GAO ; Gui-hua LIU
Acta Pharmaceutica Sinica 2024;59(4):930-938
To investigate the role of chamagogic polysaccharides (polysaccharides of
4.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
5.Genetic diversity of Ixodes persulcatus in parts of Inner Mongolia
Meng-Yu CUI ; Si SU ; Li-Li XING ; Lan MU ; Rui-Juan GAO ; Qi-Qi GUO ; Hong REN ; Dong-Dong QI ; Jing-Feng YU
Chinese Journal of Zoonoses 2024;40(4):295-301
The aim of this study was to clarify the genetic diversity and population history of Ixodes persulcatus in some ar-eas of Inner Mongolia in order to provide accurate data for effective vector control programs and reveal the transmission mecha-nism.Samples were collected in 10 areas of Inner Mongolia during the active tick season(April 2021-July 2023)using the flag-dragging and manual sampling methods.The 16S rRNA and COI gene were sequenced to clarify genetic diversity of I.per-sulcatus.The positivity rates for the COI gene and 16S rRNA were 90.00%and 98.33%respectively.Overall,18 and 15 haplotypes were identified for the COI gene and 16S rRNA,respectively,with a total haplotype diversity>0.762 and total nucleotide diversity<0.005.The Tajima's values and Fu's Fs were negative for significance.A nucleotide mismatch map was shown as a single peak.The genetic differentiation index FST of the population indicates a small degree of genetic differ-entiation of the population,while analysis of molecular vari-ance indicates that the variation within populations was greater than between populations.Phylogenetic tree and haplotype network plots showed confounding distributions between hap-lotypes.I.persulcatus from the Hinggan League and Hulun-buir regions can adapt to environmental changes and possess abundant genetic diversity.Genetic differentiation is mainly concentrated within the population and no geographical isolation was observed.
6.Clinical and laboratory characteristics of 32 patients with Listeria monocytogenes bacteremia
Ming YANG ; Rui-Yan BAI ; Jin-Ge TAI ; Peng-Juan GUO ; Ke DONG
Chinese Journal of Zoonoses 2024;40(7):652-655
This study was aimed at analyzing the clinical and laboratory characteristics of patients with Listeria monocyto-genes bacteremia,to provide evidence for its diagnosis and treatment.A retrospective analysis was conducted on the clinical data for patients with L.monocytogenes bacteremia at Tangdu Hospital between September 2012 and April 2022.The data included age,sex,underlying diseases,treatments,and prognosis.Changes in indicators such as white blood cell(WBC)count,mono-cyte percentage,neutrophil percentage,monocyte/neutrophil ratio(M/N),C-reactive protein(CRP),and procalcitonin before and after treatment were statistically analyzed.Among the 32 patients with L.monocytogenes bacteremia,the average age was 31.9 years,and three patients were older than 65 years.The incidence rate was highest in summer(11 patients,34.4%),fol-lowed by spring(9 patients,28.1%).A total of 24 patients(75.0%)had underlying diseases.After accurate diagnosis,the treatment plans of 29 patients were adjusted to target antibacterial therapy consisting primarily of penicillins(17 patients,53.1%)and carbapenems(12 patients,37.5%).After treatment,the levels of neutrophils,lymphocytes,and CRP were signifi-cantly lower than those before treatment(P<0.05).A total of 29 patients(90.6%)improved and were discharged,one patient died,and two patients had poor prognosis.The primary risk factors for L.monocytogenes infection were autoimmune diseases,tumors,and pregnancy.Penicillin was the first choice effective empirical treatment for listeriosis.A clear diagnosis of the pathogen and appropriate choice of antibiotics were particularly important for the treatment of L.monocytogenes infection.
7.The Prognostic Value of Del(1p32)in Patients with Newly Diagnosed Multiple Myeloma
Rui GUO ; Xu-Xing SHEN ; Yuan XIA ; Yuan-Yuan JIN ; Jian-Yong LI ; Li-Juan CHEN ; Hai-Rong QIU
Journal of Experimental Hematology 2024;32(3):768-773
Objective:To analyze the prognostic value of del(1p32)in patients with newly diagnosed multiple myeloma(MM).Methods:The clinical data of 341 newly diagnosed MM attended in Jiangsu Province Hospital were retrospective analyzed.Clinical characteristic combined with genetic features,especially del(1p32),were analyzed for survival and prognostic of patients.Results:Among the 341 patients with newly diagnosed MM,24(7.0%)patients were del(1p32)positive.The progression-free survival(PFS)and overall survival(OS)were significantly shorter in MM patients with del(1p3 2)than those without de1(1p32)(PFS:P<0.001;OS:P<0.001).The COX proportional-hazards model showed that del(1 p32)was an independent risk factor for PFS and OS of patients with MM.The patients with both 1q21 gain/amplification and del(1p32),as"double-hit chromosome 1",have worse prognosis than those with only 1q21 gain/amplification or only del(1 p32)(PFS:P<0.001;OS:P<0.001).Conclusion:Del(1p32)is an independent risk factor for PFS and OS of patients with MM.Del(1p32)detection should be widely used in the prognostic analysis for newly diagnosed MM patients.
8.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75%(27/36);boys accounted for 64%(23/36).Among the 36 neonates,31(86%)had disease onset within 3 days after birth,and 19(53%)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61%)had left cerebral infarction and 13(36%)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75%)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72%)and seizures in 10 neonates(34%).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33%,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44%(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.
9.Telmisartan promotes insulin secretion in rats through direct inhibition of Kv2.1 channel
Tao LIU ; Xiao-Qin CHEN ; Rui-Wang GUO ; Li-Juan CUI ; Shi-Wei LIU
Chinese Pharmacological Bulletin 2024;40(5):893-898
Aim To investigate the signaling pathways related to telmisartan-induced insulinotropic effect in rats.Methods(1)Islets and cells were isolated from Wistar rats.Islets were treated with different drugs,then supernatant liquid was collected for insulin secretion.The changes in intracellular Ca2+([Ca2+]i)concentrations of β-cells and the effects on ion channel were observed using calcium imaging tech-nology and patch-clamp technology respectively.(2)CHO-Kv2.1 cell line was constructed with lentivirus vector overexpressing Kv2.1 channel,then patch-clamp experiment was performed on CHO-Kv2.1 cells to observe the direct effect of telmisartan on Kv2.1 channel.Results Different from telmisartan,valsar-tan and irbesartan under high glucose condition did not exhibit insulinotropic effect,elevation of[Ca2+]i lev-els,and inhibition of Kv channels in[3 cells.GW9662,a peroxisome proliferator-activated receptorγ(PPARγ)blocker,did not influence the effects of telmisartan on insulin secretion,[Ca2+]i level and Kv channel.CHO cells had no endogenous outward potas-sium currents,while Kv2.1 channel current and its concentration dependent suppression by telmisartan were both detected on CHO-Kv2.1 cells.Conclusion Neither AT-1 receptors nor PPARγ is involved in telmisartan-induced insulinotropic effect,and the effect of telmisartan is partly due to the direct inhibition of kv2.1 channel.
10.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
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Humans
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Consensus
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Computer Security/standards*
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Confidentiality/ethics*
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Informed Consent/ethics*

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