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Research Paper Volume 14, Issue 2 pp 907-922
A radiomics model predicts the response of patients with advanced gastric cancer to PD-1 inhibitor treatment
Relevance score: 4.849018Zhiwen Liang, Ai Huang, Linfang Wang, Jianping Bi, Bohua Kuang, Yong Xiao, Dandan Yu, Ma Hong, Tao Zhang
Keywords: gastric cancer, programmed cell death 1 inhitors, CT image, radiomics, immunotherapy
Published in Aging on January 24, 2022
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Research Paper Volume 13, Issue 18 pp 21975-21990
Thymus hirtus sp. algeriensis Boiss. and Reut. volatile oil enhances TRAIL/Apo2L induced apoptosis and inhibits colon carcinogenesis through upregulation of death receptor pathway
Relevance score: 4.92716Fatma Guesmi, Sahdeo Prasad, Manel Ben Ali, Ismail A. Ismail, Ahmed Landoulsi
Keywords: thymus hirtus Sp. algeriensis, HCT116, TRAIL, death receptors, colon cell carcinoma
Published in Aging on September 20, 2021
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Research Paper Volume 13, Issue 13 pp 17253-17273
Association between mean platelet volume and pulmonary embolism: a systematic review and meta-analysis
Relevance score: 4.121499Wenyi Lin, Yu Wu, Xuan Lu, Yu Hu
Keywords: mean platelet volume, pulmonary embolism, early death, risk stratification, meta-analysis
Published in Aging on July 2, 2021
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Research Paper Volume 13, Issue 9 pp 13061-13072
Plasma hemoglobin and the risk of death in HIV/AIDS patients treated with antiretroviral therapy
Relevance score: 4.5719237Dayong Wang, Xiangqing Hou, Xianghua Yu, Tao Wang, Zhenmiao Ye, Jushuang Li, Feifei Su, Chengnan Guo, Fang Peng, Shuzhen Zhao, Huihui Li, Jingjing Zuo, Dehua Su, Lina Zhao, Hemei Zhang, Xiangyang Chen, Ruoqiu Wang, Qipeng Xie, Chao Zheng, Guangyun Mao
Keywords: HB, HIV/AIDS associated death, interaction, C-index, net discrimination
Published in Aging on May 7, 2021
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Research Paper Volume 13, Issue 9 pp 13006-13022
A preclinical study: correlation between PD-L1 PET imaging and the prediction of therapy efficacy of MC38 tumor with 68Ga-labeled PD-L1 targeted nanobody
Relevance score: 4.233062Songbing Qin, Yang Yu, Hui Guan, Yanling Yang, Fenghao Sun, Yan Sun, Jiaxing Zhu, Ligang Xing, Jinming Yu, Xiaorong Sun
Keywords: positron emission tomography (PET), immunotherapy, programmed death-ligand 1 (PD-L1), MC38 tumor
Published in Aging on April 27, 2021
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Research Paper Volume 13, Issue 7 pp 9225-9242
Risk factors for systemic and venous thromboembolism, mortality and bleeding risks in 1125 patients with COVID-19: relationship with anticoagulation status
Relevance score: 5.4843454Wencheng Li, Zhifeng Xu, Huiling Xiang, Chun Zhang, Yutao Guo, Jing Xiong
Keywords: COVID-19, thromboembolism, bleeding, death
Published in Aging on March 26, 2021
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Research Paper Volume 13, Issue 3 pp 3239-3253
Uncovering molecular mechanisms of regulated cell death in the naked mole rat
Relevance score: 4.7871304Alexei Evdokimov, Alexei Popov, Elena Ryabchikova, Olga Koval, Svetlana Romanenko, Vladimir Trifonov, Irina Petruseva, Inna Lavrik, Olga Lavrik
Keywords: regulated cell death, naked mole rat, apoptosis, necrosis, DNA damage
Published in Aging on January 28, 2021
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Research Paper Volume 13, Issue 2 pp 1591-1607
Coagulation dysfunction in ICU patients with coronavirus disease 2019 in Wuhan, China: a retrospective observational study of 75 fatal cases
Relevance score: 4.121499Jiaran Shi, Wang Zhang, Ling Sang, Zhaohui Qu, Ming Zhong, Li jiang, Bin Song, Liang Kang, Yun Zhang, Xingxiang Wang, Dingyu Zhang, Xia Zheng
Keywords: coronavirus disease 2019, COVID-19, death, coagulation dysfunction, inflammation, cardiac injury
Published in Aging on December 9, 2020
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Research Paper Volume 12, Issue 23 pp 24301-24317
Cigarette smoke extract induces airway epithelial cell death via repressing PRMT6/AKT signaling
Relevance score: 4.779053Tiao Li, Kristen V. Fanning, Toru Nyunoya, Yan Chen, Chunbin Zou
Keywords: cigarette smoke, cell death, lung epithelia, PRMT6, PI3K/AKT
Published in Aging on December 1, 2020
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Research Paper Volume 12, Issue 22 pp 22927-22948
Cause of death among patients with colorectal cancer: a population-based study in the United States
Relevance score: 4.4937253Jiayuan Chen, Yongqiang Zheng, Haihong Wang, Dejun Zhang, Lei Zhao, Dandan Yu, Zhenyu Lin, Tao Zhang
Keywords: colorectal cancer, cancer survivorship, cause of death, surveillance, epidemiology
Published in Aging on November 28, 2020
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Research Paper Volume 12, Issue 24 pp 24579-24595
Characteristics of mortal COVID-19 cases compared to the survivors
Relevance score: 3.95759Xianghui Zhou, Zhipeng Cheng, Dan Shu, Wenyi Lin, Zhangyin Ming, Wei Chen, Yu Hu
Keywords: coronavirus disease 2019, COVID-19, SARS-CoV-2, death cases, survival cases
Published in Aging on November 21, 2020
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Research Paper Volume 12, Issue 22 pp 22405-22412
Clinical characteristics of the first known cases of death caused by COVID-19 pneumonia
Relevance score: 4.9398613Fan-Zhen Kong, Yi Wang, Mei-Xia Wang, Qing-Zhang Cheng, Robert Logan, Guan-Hui Wu, Si-Ming Hu
Keywords: clinical characteristics, death cases, COVID-19, pneumonia
Published in Aging on November 20, 2020
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Research Paper Volume 12, Issue 22 pp 23129-23145
Cognitive frailty in relation to adverse health outcomes independent of multimorbidity: results from the China health and retirement longitudinal study
Relevance score: 5.8163943Chen Chen, JuYoung Park, Chenkai Wu, QianLi Xue, George Agogo, Ling Han, Emiel O. Hoogendijk, Zuyun Liu, Zunyou Wu
Keywords: older adults, cognitive frailty, disability, death, multimorbidity
Published in Aging on November 18, 2020
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Research Paper Volume 12, Issue 14 pp 13869-13881
Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020
Relevance score: 4.121499Cesar Munayco, Gerardo Chowell, Amna Tariq, Eduardo A. Undurraga, Kenji Mizumoto
Keywords: COVID-19, Peru, risk of death, time-delay adjusted CFR, 2020
Published in Aging on July 21, 2020
Epidemiological characterization of CoVID-19 in Peru, as of May 25, 2020. (A) Age distribution of reported cases by gender, (B) Age distribution of reported deaths by gender. (C) Gender proportion of CoVID-19 cases by age group, (D) Gender proportion of CoVID-19 deaths by age group, (E) Cumulative morbidity risk by gender and age group, (F) Mortality directly caused by CoVID-19 by gender and age group.
Temporal distribution of cases and deaths by age group due to CoVID-19, March-May 2020, Peru. Top: Male, cumulative cases, Second top: Male, cumulative cases, Second bottom: Female, cumulative cases, Bottom: Female cumulative deaths (A) aged 0-9, (B) aged 10-19, (C) aged 20-29, (D) aged 30-39, (E) aged 40-49, (F) aged 50-59, (G) aged 60-69, (H) aged 70-79, (I) aged 80- and (J) Overall (all age groups). Day 1 corresponds to March 1st in 2020.
Temporal variation of male and female risk of death by age group caused by CoVID-19, March-May 2020, Peru. Upper two rows; Male risk of deaths, Lower two rows; Female risk of deaths. Observed and posterior estimated of crude case fatality risk of (A) aged 0-9, (B) aged 10-19, (C) aged 20-29, (D) aged 30-39, (E) aged 40-49, (F) aged 50-59, (G) aged 60-69, (H) aged 70-79, (I) aged 80-, (J) all age groups and time-delay adjusted case fatality risk of (K) aged 0-9, (L) aged 10-19, (M) aged 20-29, (N) aged 30-39, (O) aged 40-49, (P) aged 50-59, (Q) aged 60-69, (R) aged 70-79, (S) aged 80-, (T) all age groups. Day 1 corresponds to March 1st in 2020. Black dots show crude case fatality risk, and light and dark indicates 95% and 50% credible intervals for posterior estimates, respectively.
Most recent estimates of time-delay adjusted risk of death caused by CoVID-19 by age group and gender, March-May 2020, Peru. Distribution of time-delay adjusted risk of death from the latest estimates (May 25, 2020) is presented. Top to bottom: female aged 0-9, female aged 10-19, female aged 20-29, female aged 30-39, female aged 40-49, female aged 50-59, female aged 60-69, female aged 70-79, female aged 80 and over, female overall.
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Editorial Volume 12, Issue 12 pp 11163-11164
PANoptosis components, regulation, and implications
Relevance score: 5.0058413R.K. Subbarao Malireddi, Rebecca E. Tweedell, Thirumala-Devi Kanneganti
Keywords: PANoptosis, ZBP1, pyroptosis, apoptosis, necroptosis, inflammatory cell death
Published in Aging on June 19, 2020
PANoptosis and potential disease associations. This figure depicts some of the major classes of inflammatory diseases where PANoptosis may contribute to the onset or progression of the disease.
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Research Paper Volume 12, Issue 11 pp 11025-11041
LncRNA ADAMTS9-AS2 inhibits gastric cancer (GC) development and sensitizes chemoresistant GC cells to cisplatin by regulating miR-223-3p/NLRP3 axis
Relevance score: 4.233062Niansheng Ren, Tao Jiang, Chengbo Wang, Shilin Xie, Yanwei Xing, Daxun Piao, Tiemin Zhang, Yuekun Zhu
Keywords: gastric cancer, pyroptotic cell death, lncRNA ADAMTS9-AS2, miR-223-3p, NLRP3 inflammasome
Published in Aging on June 9, 2020
The expression status of LncRNA ADAMTS9-AS2 and miR-223-3p in GC clinical specimens and cell lines. Real-Time qPCR was used to examine the levels of (A) LncRNA ADAMTS9-AS2 and (B) miR-223-3p in cancer tissues and adjacent normal tissues collected from GC patients. (C) Pearson correlation analysis was conducted to analyze the correlation of LncRNA ADAMTS9-AS2 and miR-223-3p in GC tissues. (D) Pan-cancer analysis was performed to analyze the correlation of LncRNA ADAMTS9-AS2 and miR-223-3p for 372 specimens from the patients with stomach adenocarcinoma (STAD). (E, F) Kaplan-Meier survival analysis was performed to determine prognosis of GC patients with differential LncRNA ADAMTS9-AS2 and miR-223-3p expressions. Real-Time qPCR was used to measure the levels of (G) LncRNA ADAMTS9-AS2 and (H) miR-223-3p in GES-1 cells and GC cells. Each experiment repeated at least 3 times. **P < 0.01.
LncRNA ADAMTS9-AS2 acted as a RNA sponge to regulate miR-223-3p in GC cells. (A) The targeting sites of LncRNA ADAMTS9-AS2 and miR-223-3p were predicted by using the online starBase software (
http://starbase.sysu.edu.cn ). Dual-luciferase reporter gene system was used to verify the binding sites in (B) SGC7901 cells and (C) BGC-823 cells, respectively. (D) RIP was performed to measure the binding abilities of LncRNA ADAMTS9-AS2 and miR-223-3p. Real-Time qPCR was used to examine the expression levels of (E) LncRNA ADAMTS9-AS2 and (F) miR-223-3p in GC cells. Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.LncRNA ADAMTS9-AS2 regulated GC cell proliferation, viability, mobility and EMT by targeting miR-223-3p. CCK-8 assay was used to measure cell proliferation in (A) SGC7901 cells and (C) BGC-823 cells. Cell counting assay by trypan blue staining method was performed to determine cell viability in (B) SGC7901 cells and (D) BGC-823 cells. (E, F) Transwell assay was conducted to measure cell migration in GC cells. Western Blot was employed to examine the expressions of EMT associated proteins (N-cadherin, E-cadherin and Vimentin) in (G, H) SGC7901 cells and (I, J) BGC-823 cells. Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.
The expression patterns of LncRNA ADAMTS9-AS2 and miR-223-3p were changed by long-term cisplatin stimulation in GC cells. Real-Time qPCR was used to examine the expression levels of (A) LncRNA ADAMTS9-AS2 and (B) miR-223-3p in CS-GC and CR-GC cells. (C) The schematic diagram for the production of ACR-GC cells involved in this study. (D) Trypan blue staining assay was performed to evaluate cell viability in CS-GC cells and ACR-GC cells. Real-Time qPCR was conducted to examine the expression levels of (E) LncRNA ADAMTS9-AS2 and (F) miR-223-3p in GC cells treated with continuous low-dose cisplatin stimulation. Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.
LncRNA ADAMTS9-AS2 regulated chemoresistance of GC cells to cisplatin by modulating cell pyroptosis. CCK-8 assay was performed to determine cell proliferation abilities in (A) CR-GC cells and (C) ACR-GC cells. Trypan blue staining assay was conducted to measure cell viability in (B) CR-GC cells and (D) ACR-GC cells. (E, F) Colony formation assay was used to detect colony formation abilities of CR-SGC7901 cells and CR-BGC-823 cells. Cell viability in (G) CR-GC cells and (H) ACR-GC cells were detected by trypan blue staining assay. (I) FCM assay (Related to Supplementary Figure 1) were performed to determine cell apoptosis ratio in CR-GC cells. (“OE-A” represented “overexpressed LncRNA ADAMTS9-AS2”, “OE-miR” represented “overexpressed miR-223-3p”, “Mic” represented “miR-223-3p mimic”). Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.
LncRNA ADAMTS9-AS2 regulated NLRP3 inflammasome in GC cells by sponging miR-223-3p. (A) The targeting sites of miR-223-3p and NLRP3 mRNA were predicted by the online starBase software (
http://starbase.sysu.edu.cn ). Dual-luciferase reporter gene system was employed to validate the binding sites of miR-223-3p and NLRP3 mRNA in (B) SGC7901 cells and (C) BGC-823 cells. (D) RIP assay was used to evaluate the binding ability of miR-223-3p and 3’ UTR regions of NLRP3 mRNA. (E–H) Western Blot was performed to detect the expression levels of NLRP3 in SGC7901 and BGC-823 cells. (“Mic” represented “miR-223-3p mimic” and “Inhi” represented “miR-223-3p inhibitor”). Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.The role of LncRNA ADAMTS9/miR-223-3p axis in the regulation of pyroptotic cell death in cisplatin treated CR-GC cells in vitro and in vivo. Western Blot was used to detect the expression levels of NLRP3 and ASC in (A, B) CR-SGC7901 cells and (C, D) CR-BGC-823 cells. (E) The activity of Caspase-1 was determined in CR-GC cells. ELISA was employed to examine (F) IL-1β and (G) IL-18 expressions in the supernatants. (H) LDH release was measured to evaluate the formation of pores in the cell membrane. (I) LDH release was measured in mice cancer tissues. (J, K) The expressions of NLRP3 and ASC were determined by Western Blot in mice cancer tissues. (L) ELISA was used to measure IL-1β and IL-18 expressions in mice serum. (M) Caspase-1 activity was measured in mice cancer tissues. Each experiment repeated at least 3 times. “NS” represented “no statistical significance”, *P < 0.05, **P < 0.01.
The graphical abstract of this study. Briefly, long-term cisplatin stimulation inhibited LncRNA ADAMTS9 and increased miR-223-3p levels in GC cells, which inhibited pyroptotic cell death by inactivating NLRP3 inflammasome. Therefore, the GC cells with aberrant gene expressions were resistant to cisplatin.
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Research Paper Volume 12, Issue 3 pp 2545-2583
Global burden of larynx cancer, 1990-2017: estimates from the global burden of disease 2017 study
Relevance score: 4.7319465Yujiao Deng, Meng Wang, Linghui Zhou, Yi Zheng, Na Li, Tian Tian, Zhen Zhai, Si Yang, Qian Hao, Ying Wu, Dingli Song, Dai Zhang, Jun Lyu, Zhijun Dai
Keywords: larynx cancer, global burden of disease, incidence, death, disability adjusted life-years
Published in Aging on February 8, 2020
The global incidence burden of larynx cancer in 195 countries. (A) The ASIR of larynx cancer in 2017; (B) The relative change in incident cases of larynx cancer between 1990 and 2017; (C) The EAPC of larynx cancer ASIR from 1990 to 2017. Countries with an extreme number of cases/evolution were annotated. ASIR, age-standardized incidence rate; EAPC, estimated annual percentage change.
The EAPC of larynx cancer ASR from 1990 to 2017, by sex and region. (A) The EAPC of ASIR; (B) The EAPC of ASDR; (C) The EAPC of age-standardized DALY rate. ASR: age-standardized rate; ASDR: age standardized death rate; ASIR: age standardized incidence rate; EAPC, estimated annual percentage change; DALY: disability adjusted life-year.
The change trends of age standardized rate among different SDI quintiles and gender from 1990 to 2017. (A) ASIR: age standardized incidence rate; (B) ASDR: age standardized death rate; (C) age-standardized DALY rate. DALY, disability adjusted life-year.
The correlation between EAPC and larynx cancer ASR in 1990 as well as SDI in 2017. The circles represent countries that were available on SDI data. The size of circle is increased with the cases of larynx cancer. The ρ indices and P values presented were derived from Pearson correlation analysis. (A) EAPC and SDI in incidence; (B) EAPC and ASIR; (C) EAPC and SDI in death; (D) EAPC and ASDR; (E) EAPC and SDI in DALYs; (F) EAPC and age-standardized DALY rate. ASIR, age standardized incidence rate; ASDR: age standardized death rate; EAPC, estimated annual percentage change; SDI, socio-demographic index; DALY: disability adjusted life-year.
The proportion of different age groups in larynx cancer by years. (A) incidence, (B) death, (C) DALY. DALY: disability adjusted life-year.
The rate of larynx cancer among gender and age in 1990 and 2017. (A) incidence rate; (B) death rate; (C) DALY rate. DALY, disability adjusted life-year.
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Research Paper Volume 11, Issue 23 pp 11686-11721
Cytological and genetic consequences for the progeny of a mitotic catastrophe provoked by Topoisomerase II deficiency
Relevance score: 5.0058413Cristina Ramos-Pérez, Margaret Dominska, Laura Anaissi-Afonso, Sara Cazorla-Rivero, Oliver Quevedo, Isabel Lorenzo-Castrillejo, Thomas D. Petes, Félix Machín
Keywords: mitotic catastrophe, Top2, senescence, cell death, genomic instability
Published in Aging on December 8, 2019
Most progeny coming from a Top2-mediated mitotic catastrophe is inviable. (A) Haploid TOP2 (WT) or top2-5 cells were grown at 25 °C and spread on YPD agar plates. Unbudded cells (G1/G0) were identified and photographed again after 6 h at 37 °C. Number of cell bodies (buds) coming from these G1/G0 cells were then counted and plotted as indicated. (B) The same analysis as in panel A but including data coming from independent experiments as well as after 24 h incubation at 37 °C (mean ± s.e.m., n=3). (C) The principle of the solid medium-based clonogenic assay. Unlike the liquid medium-based clonogenic assay, cells are spread on the Petri dish before the condition that challenges survivability is transiently triggered (Top2 inactivation in our study). In the solid medium-based assay, the colony forming unit (CFU) reading after the challenge is binary, irrespective of how far cells keep on dividing during the challenge: “0” if all clonal cells are inviable (grey); “1” if at least one cell from the clone stays viable (yellowish orange). (D) Time course of clonogenic survivability. Asynchronous top2-5 cultures growing at 25 °C were spread onto several YPD plates. The plates were incubated at 37 °C for different periods before transferring them 25 °C. Four days after the initial plating, visible colonies (macrocolonies) were counted and normalized to a control plate which was never incubated at 37 °C (0h). (E) Analysis of the origin of macrocolonies after the 6 h x 37 °C regime as determined after microscanning plates at the time of seeding (N=33 macrocolonies; 2:1 unbudded:budded ratio at seeding).
Most daughter cells coming from a Top2-mediated mitotic catastrophe are unable to divide again. (A) Haploid top2-5 cells were spread at high cell density on two Petri dishes. At the time of seeding, 0h (25 °C), several fields were photomicrographed before incubating the plates at 37 °C during either 6 h or 24 h. After the 37 °C incubations, the same fields were localized, photomicrographed again, and further incubated 16-24 h at 25 °C. An example of a microscope field of a 37 °C x 24 h experiment. Three representative unbudded cells at 0h (25 °C) are highlighted. In red, two cells that budded just once during the 37 °C x 24 h incubation (“2” cell bodies); one of them able to re-bud again a few times after the 25 °C downshift (“m”) and the second one that remained stuck as “2”. In green, a cell that reached “3” bodies at 37° C and remained so after the final 25 °C x 24 h incubation. Scale bar corresponds to 50 μm. (B) Analysis of how far the top2-5 MC progeny can go based on the microcolony approach shown in panel A. Only unbudded (G1/G0) cells at 0h (25 °C) were considered. The inner circle in the sunburst chart depicts proportions of cell bodies after the 37 °C incubation. The outer circle depicts the situation after the final 25 °C incubations (see supplemental information for a detailed description). On the left are results from a 37 °C x 6 h regime; on the right are results from a 37 °C x 24 h regime. Numbers point to the number of cell bodies; “m” means microcolonies of 5 or more bodies. (C) Capability of the top2-5 progeny to split apart and relationship with overall survivability. Unbudded cells were micromanipulated and arranged at defined plate positions before incubating them for 6 h at 37 °C. Then, those cells able to re-bud at least once were subjected to an attempt to physically separate the cell bodies. The inner circle in the sunburst depicts the number of cell bodies after the 37 °C incubation. The middle circle depicts the result of the separation attempt (“Y” or “N”, successful or unsuccessful, respectively). The outer circle indicates if any of the bodies was able to raise a macrocolony (Yes or No) after 4 d incubation at 25 °C. (D) Progression of the size (volume) of the original G1/G0 cells (mother) after the top2-5 mitotic catastrophe with and without the osmotic stabilizer Sorbitol (Sorb, 1.2 M). (E) Time course of clonogenic survivability in the presence of 1.2 M Sorbitol. The experiment was conducted as in Figure 1D. (F) Sunbursts of microcolony analyses in the presence of 1.2 M Sorbitol (Srb) at the 6 h and 24 h x 37 °C regimes. Interpretation as in panel B. In sunburst charts, N indicates number of original unbudded cells which were followed; blue sectors depict G1/G0 cells that remained unbudded during the 37 °C incubations; red sectors, cells that budded once at 37 °C; green sectors, cells that reached 3 bodies at 37 °C; orange sectors, cells that reached 4 bodies at 37 °C; cyan sectors, cells that reached 5 or more bodies at 37 °C.
Cell vitality remain high for several hours after the top2 mitotic catastrophe and is not modulated by Yca1. (A) Morphological patterns of cell and nuclear sickness after the top2 MC. Haploid top2-5 HTA2-GFP cells were seeded onto agarose patches and the same fields visualized under the fluorescence microscope at 0 h, 6 h and 24 h after the 37 °C temperature upshift. White filled triangles point to darkened inclusion bodies, asterisks (*) swelled cells, open circles (○) cells that has lost their rounded shape, and hash (#) points to cells that have largely lost the H2A-GFP signal. BF, bright field. Scale bar corresponds to 20 μm. (B) Time course of cell vitality decline as reporter by methylene blue (MB) negative staining. Asynchronous cultures of the top2-5 and top2-5yca1Δ strains were grown at 25 °C before shifting the temperature to 37 °C. At the indicated time points (0, 2, 4, 6, 24 & 48 h), samples were taken and stained with the vital dye MB. (C) Cell vitality decline as reported by metabolic competence, intrinsic ROS generation, and loss of plasma membrane impermeability. Cells were treated as in B and stained at the indicated time points with the vital dye FUN1, the death marker propidium iodide (PI), and/or the ROS reporter DCFH-DA (mean ± s.e.m., n=3). (D) Clonogenic survival profile of top2-5 yca1Δ as determined on the low-density plates (mean ± s.e.m., n=3). The experimental procedure is described in Figure 1D. (E) Ability to re-bud of the top2-5 yca1Δ MC progeny as determined on the high-density plates. The experimental procedure is described in Figure 2.
Mitotic catastrophe in top2-5 diploids leads to progeny with a greater capacity for cell division than observed in the haploid. Isogenic homozygous top2-5 diploid cells were grown and spread at either low or high cell density on Petri dishes. In addition, G1/G0 cells were micromanipulated, arrayed and treated as described in Figure 2C. (A) Ability to re-bud after transient (6 h or 24 h) incubations at 37 °C of the high-density plates. The experimental procedure is described in Figure 2. (B) Clonogenic survival profile as determined on the low-density plates (mean ± s.e.m., n=3). The experimental procedure is described in Figure 1D. (C) Capability of the progeny to split apart and relationship with overall survivability. The experimental procedure is described in Figure 2C.
Mitotic catastrophe in top2-5 heterozygous diploids leads to survivors with specific genetic instability footprints. (A) Schematic of the engineered chromosome V (cV) from the hybrid highly heterozygous (~55,000 SNPs) diploids used in this study. As explained in the text, the genetic modifications applied in cV allowed for selection of chromosome rearrangements. (B) G1/G0 cells from the hybrid highly heterozygous top2-5 diploid FM1873 strain were micromanipulated, arrayed and treated as described in Figure 2C. The capability of the immediate progeny to split apart and its relationship with overall survivability is shown in the sunburst chart. (C) Clonogenic survival profile of FM1873 as determined on low-density plates (mean ± s.e.m., n=3). The experimental procedure is described in Figure 1D. (D) Percentage of red or sectored (either white:red or pink:red) colonies in the surviving clones. Both outcomes often reflect genetic alterations on cV as described in the text. (E) Results of SNP microarray analysis of colonies derived from FM1873 or MD684. Microarray patterns showing specific chromosome rearrangements are shown on the left side, and diagrams of the putative events producing these patterns are shown on the right side. The number of specific events out of 118 total events is indicated. For the microarray patterns, hybridization to SNPs specific to homologs derived from W303-1A are shown in red, and hybridizations to SNPs specific to YJM789 are shown in blue. The X-axis shows SGD coordinates for the chromosome, and the Y-axis shows the ratio of hybridization normalized to a heterozygous diploid strain. The representative examples correspond to (1) a T-LOH event on chromosome IV (MD684.1.1 (E1) in Table 1); (2) a I-LOH event (marked with a green arrow) plus T-LOH event on chromosome IV (FM1873-15c (C2) in Table 1); (3) a Trisomy for chromosome XIV (MD684.1.1 (E1) in Table 1); and (4) a UPD for chromosome V (This isolate has two copies of the W303-1A-derived and no copies of the YJM789-derived chromosome).
Summary of the top2-mediated mitotic catastrophe and the fate of the immediate progeny. After inactivation of Top2, cells cannot resolve sister chromatids in anaphase, leading to an anaphase bridge between the mother (M) and its daughter (D1). These bridges are quickly severed (at least in the top2-5 mutant [25]). The immediate progeny coming from the top2 mitotic catastrophes (MCs) is largely unable to enter a new cell cycle (do not re-bud) despite remaining metabolically active for many hours; hence, these cells become senescent. Only ~25% of the original mothers re-bud once (D2) after the top2 MC. The long-term fate of most daughter cells is death. They will eventually die through accidental cell death (ACD), as deduced from both the asynchrony and asymmetry of death events and the lack of regulation by the death modulator Yca1(Mca1). The inability to enter a new cell cycle is likely a consequence of both the massive DNA damage as a consequence of bridge severing, and the misdistribution of essential genetic material coded on the chromosome arms between the daughter cells. A small proportion of the progeny, especially those cell that underwent a milder top2 MC (e.g., already in S/G2 at the time of Top2 inactivation) survives to yield a population of cells with characteristic footprints of genomic instability. Two of these footprints, terminal loss of heterozygosity (T-LOH) and uniparental disomy (UPD) are expected outcomes from anaphase bridges.
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Priority Research Paper Volume 11, Issue 11 pp 3418-3431
α-Ketoglutarate inhibits autophagy
Relevance score: 5.370254Elisa Elena Baracco, Francesca Castoldi, Sylvère Durand, David P. Enot, Jelena Tadic, Katharina Kainz, Frank Madeo, Alexis Chery, Valentina Izzo, Maria Chiara Maiuri, Federico Pietrocola, Guido Kroemer
Keywords: acetyl CoA, aging, cell death, Krebs cycle, metabolomics, mitochondria
Published in Aging on June 7, 2019
Metabolic effects of α-ketoglutarate precursors. (A, B) Unsupervised hierarchical clustering of intracellular metabolites in U2OS cells treated with the α-ketoglutarate precursors dimethyl α-ketoglutarate (DMKG), trifluoromethylbenzyl α-ketoglutarate (TFMKG) and octyl α-ketoglutarate (O-KG) in complete (CM) (A) or nutrient free (NF) medium (B) for 4 h at the concentrations indicated in the Experimental Procedure section. Heat maps depict log2 fold changes to the control of metabolite signals found altered (False Discovery Rate [FDR]< 0.1) upon incubation with α-ketoglutarate precursors. (C-E) Impact of α-ketoglutarate precursors on intracellular levels of α-ketoglutarate (C) and the energy related metabolites AcetylCoA (D) and ATP (E). Data represent averaged log2 fold change ± S.E.M. to the controls (CM or NF). *** p < 0.001; ** p< 0.01 (unpaired t test).
Modulation of autophagy by α-ketoglutarate precursors. (A) Inhibition of starvation-induced autophagy by DMKG, TFMKG and O-KG. U2OS cells stably expressing the autophagic markers GFP-LC3 were incubated in HBSS medium (NF) and left untreated or incubated with α-ketoglutarate precursors for 4h. Co-treatment with bafilomycin A1 (BafA1) was used to assess autophagic flux. Representative pictures (in presence of BafA1) (right panel) and quantification (left panel) are shown. Data represent mean ± S.D. (one representative experiment, n=3). *** p < 0.001 (compared to Control); ### p < 0.001 (compared to NF) (unpaired t test). Scale bar 10 μm. (B) Induction of autophagy by TFMKG and O-KG, but not DMKG, in complete medium. *** p < 0.001 (compared to Control); (unpaired t test). Scale bar 10 μm. (C, D) Immunoblotting showing the conversion of LC3I to LC3II in U2OS cells treated with α-ketoglutarate precursors in NF (C) or complete medium (D) in presence or absence of BafA1 to monitor autophagic flux (one representative experiment, n=3).
Influence of α-ketoglutarate precursors on mitochondrial metabolism (A-D) O-KG, but not DMKG and TFMKG, inhibits mitochondrial respiration. U2OS cells were incubated for 6 h in presence or absence of DMKG (A, B), TFMKG (C, D), O-KG and octanol (A-D); after pre-incubation with distinct α-ketoglutarate precursors, oxygen consumption rate (OCR) was monitored in a Seahorse XF analyzer upon injection of the complex V inhibitor oligomycin (Oligo), the uncoupler carbonyl cyanide 3-chlorophenylhydrazone (CCCP) and the complex I inhibitor rotenone at the concentrations indicated in the Experimental Procedure section. Mitochondrial function was evaluated as basal respiration (B, D, left panel), ATP production (B, D, middle panel) and maximal respiratory capacity (B, D, right panel). Data are depicted as mean ± S.D. (one representative experiment, n=3). *** p < 0.001 (compared to Control) (unpaired t test)
Impact of α-ketoglutarate precursors on cell viability. (A-B) Cytofluorimetric assessment of cell death elicited upon administration of distinct α-ketoglutarate precursors to U2OS cells in complete (A) or nutrient free medium (NF) (B) for 4 h. PI+ = dead cells; PI-/DiOC6(3) low cells = dying cells. Data (depicted as percentage of cells) represent mean ± S.D. (one representative experiment, n=3). *** p < 0.001 (compared to Control); * p < 0.05 (compared to NF) (unpaired t test). (C). Survival rates of treated (200 µM) and control cells were analyzed at indicated timepoints via clonogenicity assay. (D) Plasma membrane integrity via PI staining of treated (200 µM) versus control yeast cells was monitored at indicated timepoints during chronological aging. Data represent mean ± S.E.M of at least 3 independent experiments. ** p < 0.01; * π < 0.05 (Compared to O-KG vehicle); (two-way Anova).
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Research Paper Volume 10, Issue 6 pp 1523-1533
Linc00472 suppresses proliferation and promotes apoptosis through elevating PDCD4 expression by sponging miR-196a in colorectal cancer
Relevance score: 5.0055227Yafei Ye, Shengnan Yang, Yanping Han, Jingjing Sun, Lijuan Xv, Lina Wu, Yongfeng Wang, Liang Ming
Keywords: Colorectal cancer, Linc00472, miR-196a, programmed cell death 4
Published in Aging on June 21, 2018
Linc00472 was decreased in CRC tissues and cells. (A) The expression levels of Linc00472 in CRC tumor tissues and adjacent normal tissues were determined by qRT-PCR assays. (B) Linc00472 expression was analyzed in TCGA colon adenocarcinoma (COAD) cohort. (C) qRT-PCR analysis was performed to detect Linc00472 expression in immortalized human colonic epithelial cell line NCM460 and four CRC cell lines (SW480, SW620, HT-29 and HCT-116). (D) Kaplan-Meier curve was employed to assess the overall survival outcome in CRC patients with high or low Linc00472 expression in TCGA dataset. *P < 0.05, ***P < 0.001.
Linc00472 overexpression inhibited proliferation and induced apoptosis in CRC cells. HT-29 and HCT-116 cells were transfected with pcDNA3.1 vector (Vector) or pcDNA-Linc00472 (Linc00472). (A) The Linc00472 expression level was detected using qRT-PCR assays. (B and C) Cell proliferation was measured with CCK-8 assays. (D and E) Cell clone numbers were evaluated by colony formation assay. (F and G) Cell apoptosis was determined by flow cytometry analysis. *P < 0.05.
Linc00472 directly inhibited miR-1496a expression. (A) The predicted binding sites between Linc00472 and miR-141 were shown. (B) The luciferase activity was detected in 293T cells. (C) qRT-PCR analysis miR-196a expression in HT-29 and HCT-116 cells transfected with pcDNA3.1 vector (Vector) or pcDNA-Linc00472 (Linc00472). (D) qRT-PCR assay was performed to detect miR-196a expression in CRC tumor tissues and adjacent normal tissues. (E) Linc00472 expression was analyzed in TCGA COAD cohort. (F) Correlation analysis between Linc00472 and miR-196a in CRC tissues from TCGA COAD dataset. *P < 0.05, ***P < 0.001.
PDCD4 was a target of miR-196a. (A) The putative binding sites between PDCD4 and miR-196a by miRanda software. (B) The luciferase activity of wide-type or mutant-type PDCD4 was determined in 293T cells. (C) PDCD4 protein level in HT-29 and HCT-116 cells was detected using western blot analysis. (D) qRT-PCR assay analyzed PDCD4 mRNA levels in CRC tumor tissues and adjacent normal tissues. (E) PDCD4 mRNA levels were analyzed in TCGA COAD cohort. (F) Correlation analysis between Linc00472 and PDCD4 in CRC tissues from TCGA COAD dataset. *P < 0.05, ***P < 0.001.
Linc00472 inhibited proliferation and enhanced apoptosis by modulating miR-196a/PDCD4 axis in CRC cells. HT-29 cells were transfected with Vector+miR-con, Linc00472+miR-con, Vector+miR-196a or Linc00472+miR-196a, and HCT-116 cells were transfected with Vector+si-con, Linc00472+si-con, Vector+si-PDCD4 or Linc00472+si-PDCD4. The PDCD4 protein levels were measured by western blot assays (A and B), the cell proliferation was evaluated by CCK-8 assays (C and D), the cell clone numbers were estimated by colony formation assays (E and F), and the cell apoptosis was determined with flow cytometry (G and H). *P < 0.05.
Linc00472 suppressed tumor growthin vivo. (A) The tumor volume curve of null mice was analyzed. (B) The tumor weight of null mice was measured. (C) The miR-196a expression and PDCD4 mRNA levels in tumors of null mice were detected by qRT-PCR. (D) Western blot analysis was performed to determine PDCD4 and Ki-67 protein levels. *P < 0.05.