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Inhibition of chylomicron assembly leads to dissociation of hepatic steatosis from inflammation and fibrosis.

Journal of lipid research

Xie Y, Newberry EP, Brunt EM, Ballentine SJ, Soleymanjahi S, Molitor EA, Davidson NO.
PMID: 34563519
J Lipid Res. 2021;62:100123. doi: 10.1016/j.jlr.2021.100123. Epub 2021 Sep 24.

Regulating dietary fat absorption may impact progression of nonalcoholic fatty liver disease (NAFLD). Here, we asked if inducible inhibition of chylomicron assembly, as observed in intestine-specific microsomal triglyceride (TG) transfer protein knockout mice (Mttp-IKO), could retard NAFLD progression and/or...

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Xie Y, Newberry EP, Brunt EM, et al. Inhibition of chylomicron assembly leads to dissociation of hepatic steatosis from inflammation and fibrosis. J Lipid Res. 2021;62:100123doi: 10.1016/j.jlr.2021.100123.
Xie, Y., Newberry, E. P., Brunt, E. M., Ballentine, S. J., Soleymanjahi, S., Molitor, E. A., & Davidson, N. O. (2021). Inhibition of chylomicron assembly leads to dissociation of hepatic steatosis from inflammation and fibrosis. Journal of lipid research, 62100123. https://doi.org/10.1016/j.jlr.2021.100123
Xie, Yan, et al. "Inhibition of chylomicron assembly leads to dissociation of hepatic steatosis from inflammation and fibrosis." Journal of lipid research vol. 62 (2021): 100123. doi: https://doi.org/10.1016/j.jlr.2021.100123
Xie Y, Newberry EP, Brunt EM, Ballentine SJ, Soleymanjahi S, Molitor EA, Davidson NO. Inhibition of chylomicron assembly leads to dissociation of hepatic steatosis from inflammation and fibrosis. J Lipid Res. 2021;62:100123. doi: 10.1016/j.jlr.2021.100123. Epub 2021 Sep 24. PMID: 34563519; PMCID: PMC8515302.
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Correction to: The effects of WeChat-based educational intervention in patients with ankylosing spondylitis: a randomized controlled trial.

Arthritis research & therapy

Song Y, Xie X, Chen Y, Wang Y, Yang H, Nie A, Chen H.
PMID: 34034822
Arthritis Res Ther. 2021 May 25;23(1):149. doi: 10.1186/s13075-021-02523-w.

No abstract available.

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Song Y, Xie X, Chen Y, et al. Correction to: The effects of WeChat-based educational intervention in patients with ankylosing spondylitis: a randomized controlled trial. Arthritis Res Ther. 2021;23(1):149doi: 10.1186/s13075-021-02523-w.
Song, Y., Xie, X., Chen, Y., Wang, Y., Yang, H., Nie, A., & Chen, H. (2021). Correction to: The effects of WeChat-based educational intervention in patients with ankylosing spondylitis: a randomized controlled trial. Arthritis research & therapy, 23(1), 149. https://doi.org/10.1186/s13075-021-02523-w
Song, Yuqing, et al. "Correction to: The effects of WeChat-based educational intervention in patients with ankylosing spondylitis: a randomized controlled trial." Arthritis research & therapy vol. 23,1 (2021): 149. doi: https://doi.org/10.1186/s13075-021-02523-w
Song Y, Xie X, Chen Y, Wang Y, Yang H, Nie A, Chen H. Correction to: The effects of WeChat-based educational intervention in patients with ankylosing spondylitis: a randomized controlled trial. Arthritis Res Ther. 2021 May 25;23(1):149. doi: 10.1186/s13075-021-02523-w. PMID: 34034822; PMCID: PMC8146147.
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Decreased expression of ATF3, orchestrated by β-catenin/TCF3, miR-17-5p and HOXA11-AS, promoted gastric cancer progression via increased β-catenin and CEMIP.

Experimental & molecular medicine

Xie G, Dong P, Chen H, Xu L, Liu Y, Ma Y, Zheng Y, Yang J, Zhou Y, Chen L, Shen L.
PMID: 34728784
Exp Mol Med. 2021 Nov;53(11):1706-1722. doi: 10.1038/s12276-021-00694-9. Epub 2021 Nov 02.

ATF3 has been reported to be dysregulated in various cancers and involved in various steps of tumorigenesis. However, the mechanisms underlying the abnormal expression of ATF3 and its biological function in gastric cancer (GC) have not been well investigated....

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Xie G, Dong P, Chen H, et al. Decreased expression of ATF3, orchestrated by β-catenin/TCF3, miR-17-5p and HOXA11-AS, promoted gastric cancer progression via increased β-catenin and CEMIP. Exp Mol Med. 2021;53(11):1706-1722doi: 10.1038/s12276-021-00694-9.
Xie, G., Dong, P., Chen, H., Xu, L., Liu, Y., Ma, Y., Zheng, Y., Yang, J., Zhou, Y., Chen, L., & Shen, L. (2021). Decreased expression of ATF3, orchestrated by β-catenin/TCF3, miR-17-5p and HOXA11-AS, promoted gastric cancer progression via increased β-catenin and CEMIP. Experimental & molecular medicine, 53(11), 1706-1722. https://doi.org/10.1038/s12276-021-00694-9
Xie, Guohua, et al. "Decreased expression of ATF3, orchestrated by β-catenin/TCF3, miR-17-5p and HOXA11-AS, promoted gastric cancer progression via increased β-catenin and CEMIP." Experimental & molecular medicine vol. 53,11 (2021): 1706-1722. doi: https://doi.org/10.1038/s12276-021-00694-9
Xie G, Dong P, Chen H, Xu L, Liu Y, Ma Y, Zheng Y, Yang J, Zhou Y, Chen L, Shen L. Decreased expression of ATF3, orchestrated by β-catenin/TCF3, miR-17-5p and HOXA11-AS, promoted gastric cancer progression via increased β-catenin and CEMIP. Exp Mol Med. 2021 Nov;53(11):1706-1722. doi: 10.1038/s12276-021-00694-9. Epub 2021 Nov 02. PMID: 34728784; PMCID: PMC8639750.
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Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing.

Frontiers in neurorobotics

Xie P, Shi S, Yang S, Qiao K, Liang N, Wang L, Chen J, Hu G, Yan B.
PMID: 34955802
Front Neurorobot. 2021 Dec 09;15:784053. doi: 10.3389/fnbot.2021.784053. eCollection 2021.

Deep neural networks (DNNs) are proven vulnerable to attack against adversarial examples. Black-box transfer attacks pose a massive threat to AI applications without accessing target models. At present, the most effective black-box attack methods mainly adopt data enhancement methods,...

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Xie P, Shi S, Yang S, et al. Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing. Front Neurorobot. 2021;15:784053doi: 10.3389/fnbot.2021.784053.
Xie, P., Shi, S., Yang, S., Qiao, K., Liang, N., Wang, L., Chen, J., Hu, G., & Yan, B. (2021). Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing. Frontiers in neurorobotics, 15784053. https://doi.org/10.3389/fnbot.2021.784053
Xie, Pengfei, et al. "Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing." Frontiers in neurorobotics vol. 15 (2021): 784053. doi: https://doi.org/10.3389/fnbot.2021.784053
Xie P, Shi S, Yang S, Qiao K, Liang N, Wang L, Chen J, Hu G, Yan B. Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing. Front Neurorobot. 2021 Dec 09;15:784053. doi: 10.3389/fnbot.2021.784053. eCollection 2021. PMID: 34955802; PMCID: PMC8696674.
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Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn.

Burns : journal of the International Society for Burn Injuries

Shu F, Liu H, Lou X, Zhou Z, Zhao Z, Liu Y, Bai X, Luo P, Zheng Y, Xiao S, Xia Z.
PMID: 34670714
Burns. 2021 Aug 15; doi: 10.1016/j.burns.2021.08.007. Epub 2021 Aug 15.

INTRODUCTION: Burn hypertrophic scarring pain is a common and perennial complaint which not only affects patients' quality of life, but also their recovery and reintegration. Physical therapy and medicine regimens are all available for the treatment of hypertrophic scarring...

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Shu F, Liu H, Lou X, et al. Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn. Burns. 2021;doi: 10.1016/j.burns.2021.08.007.
Shu, F., Liu, H., Lou, X., Zhou, Z., Zhao, Z., Liu, Y., Bai, X., Luo, P., Zheng, Y., Xiao, S., & Xia, Z. (2021). Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn. Burns : journal of the International Society for Burn Injuries, . https://doi.org/10.1016/j.burns.2021.08.007
Shu, Futing, et al. "Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn." Burns : journal of the International Society for Burn Injuries vol. (2021). doi: https://doi.org/10.1016/j.burns.2021.08.007
Shu F, Liu H, Lou X, Zhou Z, Zhao Z, Liu Y, Bai X, Luo P, Zheng Y, Xiao S, Xia Z. Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn. Burns. 2021 Aug 15; doi: 10.1016/j.burns.2021.08.007. Epub 2021 Aug 15. PMID: 34670714.
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Development of a COVID-19 Application Ontology for the ACT Network.

medRxiv : the preprint server for health sciences

Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer V, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE.
PMID: 33791734
medRxiv. 2021 Apr 14; doi: 10.1101/2021.03.15.21253596.

Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for COVID-19 research....

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Visweswaran S, Samayamuthu MJ, Morris M, et al. Development of a COVID-19 Application Ontology for the ACT Network. medRxiv. 2021;doi: 10.1101/2021.03.15.21253596.
Visweswaran, S., Samayamuthu, M. J., Morris, M., Weber, G. M., MacFadden, D., Trevvett, P., Klann, J. G., Gainer, V., Benoit, B., Murphy, S. N., Patel, L., Mirkovic, N., Borovskiy, Y., Johnson, R. D., Wyatt, M. C., Wang, A. Y., Follett, R. W., Chau, N., Zhu, W., Abajian, M., Chuang, A., Bahroos, N., Reeder, P., Xie, D., Cai, J., Sendro, E. R., Toto, R. D., Firestein, G. S., Nadler, L. M., & Reis, S. E. (2021). Development of a COVID-19 Application Ontology for the ACT Network. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2021.03.15.21253596
Visweswaran, Shyam, et al. "Development of a COVID-19 Application Ontology for the ACT Network." medRxiv : the preprint server for health sciences vol. (2021). doi: https://doi.org/10.1101/2021.03.15.21253596
Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer V, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE. Development of a COVID-19 Application Ontology for the ACT Network. medRxiv. 2021 Apr 14; doi: 10.1101/2021.03.15.21253596. PMID: 33791734; PMCID: PMC8010766.
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Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes.

Nature communications

Jindal S, Pennock ND, Sun D, Horton W, Ozaki MK, Narasimhan J, Bartlett AQ, Weinmann S, Goss PE, Borges VF, Xia Z, Schedin P.
PMID: 34732713
Nat Commun. 2021 Nov 03;12(1):6341. doi: 10.1038/s41467-021-26505-3.

Young women's breast cancer (YWBC) has poor prognosis and known interactions with parity. Women diagnosed within 5-10 years of childbirth, defined as postpartum breast cancer (PPBC), have poorer prognosis compared to age, stage, and biologic subtype-matched nulliparous patients. Genomic...

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Jindal S, Pennock ND, Sun D, et al. Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nat Commun. 2021;12(1):6341doi: 10.1038/s41467-021-26505-3.
Jindal, S., Pennock, N. D., Sun, D., Horton, W., Ozaki, M. K., Narasimhan, J., Bartlett, A. Q., Weinmann, S., Goss, P. E., Borges, V. F., Xia, Z., & Schedin, P. (2021). Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nature communications, 12(1), 6341. https://doi.org/10.1038/s41467-021-26505-3
Jindal, Sonali, et al. "Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes." Nature communications vol. 12,1 (2021): 6341. doi: https://doi.org/10.1038/s41467-021-26505-3
Jindal S, Pennock ND, Sun D, Horton W, Ozaki MK, Narasimhan J, Bartlett AQ, Weinmann S, Goss PE, Borges VF, Xia Z, Schedin P. Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nat Commun. 2021 Nov 03;12(1):6341. doi: 10.1038/s41467-021-26505-3. PMID: 34732713; PMCID: PMC8566602.
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Tailoring of White Luminescence in a NaLi.

Advanced materials (Deerfield Beach, Fla.)

Zhao M, Yang Z, Ning L, Xia Z.
PMID: 34096107
Adv Mater. 2021 Jul;33(29):e2101428. doi: 10.1002/adma.202101428. Epub 2021 Jun 06.

Single-component materials with white-light emission are ideal for lighting applications. However, it is very challenging to achieve white luminescence in single-dopant activated solid phosphors. Herein, white NaLi

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Zhao M, Yang Z, Ning L, et al. Tailoring of White Luminescence in a NaLi. Adv Mater. 2021;33(29):e2101428doi: 10.1002/adma.202101428.
Zhao, M., Yang, Z., Ning, L., & Xia, Z. (2021). Tailoring of White Luminescence in a NaLi. Advanced materials (Deerfield Beach, Fla.), 33(29), e2101428. https://doi.org/10.1002/adma.202101428
Zhao, Ming, et al. "Tailoring of White Luminescence in a NaLi." Advanced materials (Deerfield Beach, Fla.) vol. 33,29 (2021): e2101428. doi: https://doi.org/10.1002/adma.202101428
Zhao M, Yang Z, Ning L, Xia Z. Tailoring of White Luminescence in a NaLi. Adv Mater. 2021 Jul;33(29):e2101428. doi: 10.1002/adma.202101428. Epub 2021 Jun 06. PMID: 34096107.
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Maximum likelihood-based extended Kalman filter for COVID-19 prediction.

Chaos, solitons, and fractals

Song J, Xie H, Gao B, Zhong Y, Gu C, Choi KS.
PMID: 33824550
Chaos Solitons Fractals. 2021 May;146:110922. doi: 10.1016/j.chaos.2021.110922. Epub 2021 Apr 02.

Prediction of COVID-19 spread plays a significant role in the epidemiology study and government battles against the epidemic. However, the existing studies on COVID-19 prediction are dominated by constant model parameters, unable to reflect the actual situation of COVID-19...

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Song J, Xie H, Gao B, et al. Maximum likelihood-based extended Kalman filter for COVID-19 prediction. Chaos Solitons Fractals. 2021;146:110922doi: 10.1016/j.chaos.2021.110922.
Song, J., Xie, H., Gao, B., Zhong, Y., Gu, C., & Choi, K. S. (2021). Maximum likelihood-based extended Kalman filter for COVID-19 prediction. Chaos, solitons, and fractals, 146110922. https://doi.org/10.1016/j.chaos.2021.110922
Song, Jialu, et al. "Maximum likelihood-based extended Kalman filter for COVID-19 prediction." Chaos, solitons, and fractals vol. 146 (2021): 110922. doi: https://doi.org/10.1016/j.chaos.2021.110922
Song J, Xie H, Gao B, Zhong Y, Gu C, Choi KS. Maximum likelihood-based extended Kalman filter for COVID-19 prediction. Chaos Solitons Fractals. 2021 May;146:110922. doi: 10.1016/j.chaos.2021.110922. Epub 2021 Apr 02. PMID: 33824550; PMCID: PMC8017556.
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Enhancement of Diffusion Assisted Bonding of the Bimetal Composite of Austenitic/Ferric Steels via Intrinsic Interlayers.

Materials (Basel, Switzerland)

He C, Pan G, Xie L, Peng Q.
PMID: 34066477
Materials (Basel). 2021 May 06;14(9). doi: 10.3390/ma14092416.

We investigate the effect of the intrinsic interlayers on the diffusion assisted bonding properties of the austenitic steel (stainless steel 316L) and ferric steels (Low-carbon steel Q345R) in a hot rolling process by molecular dynamics simulations and experiment. The...

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He C, Pan G, Xie L, et al. Enhancement of Diffusion Assisted Bonding of the Bimetal Composite of Austenitic/Ferric Steels via Intrinsic Interlayers. Materials (Basel). 2021;14(9)doi: 10.3390/ma14092416.
He, C., Pan, G., Xie, L., & Peng, Q. (2021). Enhancement of Diffusion Assisted Bonding of the Bimetal Composite of Austenitic/Ferric Steels via Intrinsic Interlayers. Materials (Basel, Switzerland), 14(9), . https://doi.org/10.3390/ma14092416
He, Chenwei, et al. "Enhancement of Diffusion Assisted Bonding of the Bimetal Composite of Austenitic/Ferric Steels via Intrinsic Interlayers." Materials (Basel, Switzerland) vol. 14,9 (2021). doi: https://doi.org/10.3390/ma14092416
He C, Pan G, Xie L, Peng Q. Enhancement of Diffusion Assisted Bonding of the Bimetal Composite of Austenitic/Ferric Steels via Intrinsic Interlayers. Materials (Basel). 2021 May 06;14(9). doi: 10.3390/ma14092416. PMID: 34066477; PMCID: PMC8125153.
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[Research and Engineering Evaluation Practice of Medical Equipment Purchase Decision Model Based on Improved Markov Model].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

Tan L, Xie J.
PMID: 34096250
Zhongguo Yi Liao Qi Xie Za Zhi. 2021 Jun 08;45(3):344-348. doi: 10.3969/j.issn.1671-7104.2021.03.024.

In view of the inherent drawbacks of traditional medical equipment procurement mode, a decision-making model of medical equipment procurement based on Improved Markov model is proposed and the engineering evaluation practice is carried out. The data pool of medical...

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Tan L, Xie J. [Research and Engineering Evaluation Practice of Medical Equipment Purchase Decision Model Based on Improved Markov Model]. Zhongguo Yi Liao Qi Xie Za Zhi. 2021;45(3):344-348doi: 10.3969/j.issn.1671-7104.2021.03.024.
Tan, L., & Xie, J. (2021). [Research and Engineering Evaluation Practice of Medical Equipment Purchase Decision Model Based on Improved Markov Model]. Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, 45(3), 344-348. https://doi.org/10.3969/j.issn.1671-7104.2021.03.024
Tan, Liang, and Xie, Jing. "[Research and Engineering Evaluation Practice of Medical Equipment Purchase Decision Model Based on Improved Markov Model]." Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation vol. 45,3 (2021): 344-348. doi: https://doi.org/10.3969/j.issn.1671-7104.2021.03.024
Tan L, Xie J. [Research and Engineering Evaluation Practice of Medical Equipment Purchase Decision Model Based on Improved Markov Model]. Zhongguo Yi Liao Qi Xie Za Zhi. 2021 Jun 08;45(3):344-348. doi: 10.3969/j.issn.1671-7104.2021.03.024. Chinese. PMID: 34096250.
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Risk Factors Affecting the Success Rate of Radiofrequency Thermocoagulation of Lumbar Sympathetic Nerve.

Pain physician

Luo G, Zhu J, Chen R, Xie K, Ni H, Fu J, He Q, Huang B, Yao M.
PMID: 34704717
Pain Physician. 2021 Nov;24(7):E1075-E1083.

BACKGROUND: Computed tomography (CT)-guided radiofrequency thermocoagulation of lumbar sympathetic nerve has been gradually applied to the treatment of many autonomic nerve disorders, such as plantar hyperhidrosis (PH) and diabetic peripheral neuropathy (DPN). The difference in the success rate of...

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Luo G, Zhu J, Chen R, et al. Risk Factors Affecting the Success Rate of Radiofrequency Thermocoagulation of Lumbar Sympathetic Nerve. Pain Physician. 2021;24(7):E1075-E1083
Luo, G., Zhu, J., Chen, R., Xie, K., Ni, H., Fu, J., He, Q., Huang, B., & Yao, M. (2021). Risk Factors Affecting the Success Rate of Radiofrequency Thermocoagulation of Lumbar Sympathetic Nerve. Pain physician, 24(7), E1075-E1083.
Luo, Ge, et al. "Risk Factors Affecting the Success Rate of Radiofrequency Thermocoagulation of Lumbar Sympathetic Nerve." Pain physician vol. 24,7 (2021): E1075-E1083.
Luo G, Zhu J, Chen R, Xie K, Ni H, Fu J, He Q, Huang B, Yao M. Risk Factors Affecting the Success Rate of Radiofrequency Thermocoagulation of Lumbar Sympathetic Nerve. Pain Physician. 2021 Nov;24(7):E1075-E1083. PMID: 34704717.
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Showing 9985 to 9996 of 32586 entries