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Interaction of demographic factors with the results of the surgery for degenerative disease of the cervical spine: a retrospective evaluation.

Revista brasileira de ortopedia

Dias CGP, Roberto BB, Basaglia L, Lenza M, Nicolau RJ, Ferretti M.
PMID: 29062823
Rev Bras Ortop. 2017 Aug 24;52(5):575-581. doi: 10.1016/j.rboe.2017.08.007. eCollection 2017.

OBJECTIVE: Degenerative disease of the cervical spine is a frequent source of intermittent neck pain, where the predominant symptom is axial neck pain. The indications for surgical treatment are reserved for the cases where the conservative treatment has not...

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Dias CGP, Roberto BB, Basaglia L, et al. Interaction of demographic factors with the results of the surgery for degenerative disease of the cervical spine: a retrospective evaluation. Rev Bras Ortop. 2017;52(5):575-581doi: 10.1016/j.rboe.2017.08.007.
Dias, C. G. P., Roberto, B. B., Basaglia, L., Lenza, M., Nicolau, R. J., & Ferretti, M. (2017). Interaction of demographic factors with the results of the surgery for degenerative disease of the cervical spine: a retrospective evaluation. Revista brasileira de ortopedia, 52(5), 575-581. https://doi.org/10.1016/j.rboe.2017.08.007
Dias, Celso Garreta Prats, et al. "Interaction of demographic factors with the results of the surgery for degenerative disease of the cervical spine: a retrospective evaluation." Revista brasileira de ortopedia vol. 52,5 (2017): 575-581. doi: https://doi.org/10.1016/j.rboe.2017.08.007
Dias CGP, Roberto BB, Basaglia L, Lenza M, Nicolau RJ, Ferretti M. Interaction of demographic factors with the results of the surgery for degenerative disease of the cervical spine: a retrospective evaluation. Rev Bras Ortop. 2017 Aug 24;52(5):575-581. doi: 10.1016/j.rboe.2017.08.007. eCollection 2017. PMID: 29062823; PMCID: PMC5643898.
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Exploring grape marc as trove for new thermotolerant and inhibitor-tolerant Saccharomyces cerevisiae strains for second-generation bioethanol production.

Biotechnology for biofuels

Favaro L, Basaglia M, Trento A, Van Rensburg E, García-Aparicio M, Van Zyl WH, Casella S.
PMID: 24286305
Biotechnol Biofuels. 2013 Nov 29;6(1):168. doi: 10.1186/1754-6834-6-168.

BACKGROUND: Robust yeasts with high inhibitor, temperature, and osmotic tolerance remain a crucial requirement for the sustainable production of lignocellulosic bioethanol. These stress factors are known to severely hinder culture growth and fermentation performance.RESULTS: Grape marc was selected as...

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Favaro L, Basaglia M, Trento A, et al. Exploring grape marc as trove for new thermotolerant and inhibitor-tolerant Saccharomyces cerevisiae strains for second-generation bioethanol production. Biotechnol Biofuels. 2013;6(1):168doi: 10.1186/1754-6834-6-168.
Favaro, L., Basaglia, M., Trento, A., Van Rensburg, E., García-Aparicio, M., Van Zyl, W. H., & Casella, S. (2013). Exploring grape marc as trove for new thermotolerant and inhibitor-tolerant Saccharomyces cerevisiae strains for second-generation bioethanol production. Biotechnology for biofuels, 6(1), 168. https://doi.org/10.1186/1754-6834-6-168
Favaro, Lorenzo, et al. "Exploring grape marc as trove for new thermotolerant and inhibitor-tolerant Saccharomyces cerevisiae strains for second-generation bioethanol production." Biotechnology for biofuels vol. 6,1 (2013): 168. doi: https://doi.org/10.1186/1754-6834-6-168
Favaro L, Basaglia M, Trento A, Van Rensburg E, García-Aparicio M, Van Zyl WH, Casella S. Exploring grape marc as trove for new thermotolerant and inhibitor-tolerant Saccharomyces cerevisiae strains for second-generation bioethanol production. Biotechnol Biofuels. 2013 Nov 29;6(1):168. doi: 10.1186/1754-6834-6-168. PMID: 24286305; PMCID: PMC4176503.
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A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage.

Royal Society open science

Roscini L, Favaro L, Corte L, Cagnin L, Colabella C, Basaglia M, Cardinali G, Casella S.
PMID: 30800340
R Soc Open Sci. 2019 Jan 16;6(1):180718. doi: 10.1098/rsos.180718. eCollection 2019 Jan.

Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to...

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Roscini L, Favaro L, Corte L, et al. A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage. R Soc Open Sci. 2019;6(1):180718doi: 10.1098/rsos.180718.
Roscini, L., Favaro, L., Corte, L., Cagnin, L., Colabella, C., Basaglia, M., Cardinali, G., & Casella, S. (2019). A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage. Royal Society open science, 6(1), 180718. https://doi.org/10.1098/rsos.180718
Roscini, Luca, et al. "A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage." Royal Society open science vol. 6,1 (2019): 180718. doi: https://doi.org/10.1098/rsos.180718
Roscini L, Favaro L, Corte L, Cagnin L, Colabella C, Basaglia M, Cardinali G, Casella S. A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage. R Soc Open Sci. 2019 Jan 16;6(1):180718. doi: 10.1098/rsos.180718. eCollection 2019 Jan. PMID: 30800340; PMCID: PMC6366221.
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Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery.

Frontiers in neurology

Malerba P, Straudi S, Fregni F, Bazhenov M, Basaglia N.
PMID: 28280482
Front Neurol. 2017 Feb 23;8:58. doi: 10.3389/fneur.2017.00058. eCollection 2017.

Stroke is a leading cause of worldwide disability, and up to 75% of survivors suffer from some degree of arm paresis. Recently, rehabilitation of stroke patients has focused on recovering motor skills by taking advantage of use-dependent neuroplasticity, where...

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Malerba P, Straudi S, Fregni F, et al. Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery. Front Neurol. 2017;8:58doi: 10.3389/fneur.2017.00058.
Malerba, P., Straudi, S., Fregni, F., Bazhenov, M., & Basaglia, N. (2017). Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery. Frontiers in neurology, 858. https://doi.org/10.3389/fneur.2017.00058
Malerba, Paola, et al. "Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery." Frontiers in neurology vol. 8 (2017): 58. doi: https://doi.org/10.3389/fneur.2017.00058
Malerba P, Straudi S, Fregni F, Bazhenov M, Basaglia N. Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery. Front Neurol. 2017 Feb 23;8:58. doi: 10.3389/fneur.2017.00058. eCollection 2017. PMID: 28280482; PMCID: PMC5322214.
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Effects of structured home-based exercise training on circulating endothelial progenitor cells and endothelial function in patients with intermittent claudication.

Vascular medicine (London, England)

Pasqualini L, Bagaglia F, Ministrini S, Frangione MR, Leli C, Siepi D, Lombardini R, Marini E, Naeimi Kararoudi M, Piratinskiy A, Pirro M.
PMID: 34151646
Vasc Med. 2021 Dec;26(6):633-640. doi: 10.1177/1358863X211020822. Epub 2021 Jun 21.

INTRODUCTION: Exercise training improves walking capacity in patients with intermittent claudication (IC). Endothelial progenitor cells (EPCs), endothelial microparticles (EMPs), and endothelial dysfunction could play a role in this process.METHODS: We measured EPCs and EMPs in a group of 60...

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Pasqualini L, Bagaglia F, Ministrini S, et al. Effects of structured home-based exercise training on circulating endothelial progenitor cells and endothelial function in patients with intermittent claudication. Vasc Med. 2021;26(6):633-640doi: 10.1177/1358863X211020822.
Pasqualini, L., Bagaglia, F., Ministrini, S., Frangione, M. R., Leli, C., Siepi, D., Lombardini, R., Marini, E., Naeimi Kararoudi, M., Piratinskiy, A., & Pirro, M. (2021). Effects of structured home-based exercise training on circulating endothelial progenitor cells and endothelial function in patients with intermittent claudication. Vascular medicine (London, England), 26(6), 633-640. https://doi.org/10.1177/1358863X211020822
Pasqualini, Leonella, et al. "Effects of structured home-based exercise training on circulating endothelial progenitor cells and endothelial function in patients with intermittent claudication." Vascular medicine (London, England) vol. 26,6 (2021): 633-640. doi: https://doi.org/10.1177/1358863X211020822
Pasqualini L, Bagaglia F, Ministrini S, Frangione MR, Leli C, Siepi D, Lombardini R, Marini E, Naeimi Kararoudi M, Piratinskiy A, Pirro M. Effects of structured home-based exercise training on circulating endothelial progenitor cells and endothelial function in patients with intermittent claudication. Vasc Med. 2021 Dec;26(6):633-640. doi: 10.1177/1358863X211020822. Epub 2021 Jun 21. PMID: 34151646.
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Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy.

Diagnostics (Basel, Switzerland)

Lamberti N, Manfredini F, Baroni A, Crepaldi A, Lavezzi S, Basaglia N, Straudi S.
PMID: 34207923
Diagnostics (Basel). 2021 Jun 09;11(6). doi: 10.3390/diagnostics11061068.

This study aimed to determine cortical activation responses to two different rehabilitative programs, as measured through functional near-infrared spectroscopy (fNIRS). As a secondary analysis of the RAGTIME trial, we studied 24 patients with progressive multiple sclerosis (MS) and severe...

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Lamberti N, Manfredini F, Baroni A, et al. Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy. Diagnostics (Basel). 2021;11(6)doi: 10.3390/diagnostics11061068.
Lamberti, N., Manfredini, F., Baroni, A., Crepaldi, A., Lavezzi, S., Basaglia, N., & Straudi, S. (2021). Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy. Diagnostics (Basel, Switzerland), 11(6), . https://doi.org/10.3390/diagnostics11061068
Lamberti, Nicola, et al. "Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy." Diagnostics (Basel, Switzerland) vol. 11,6 (2021). doi: https://doi.org/10.3390/diagnostics11061068
Lamberti N, Manfredini F, Baroni A, Crepaldi A, Lavezzi S, Basaglia N, Straudi S. Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy. Diagnostics (Basel). 2021 Jun 09;11(6). doi: 10.3390/diagnostics11061068. PMID: 34207923; PMCID: PMC8227480.
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Rehabilitation Improves Mitochondrial Energetics in Progressive Multiple Sclerosis: The Significant Role of Robot-Assisted Gait Training and of the Personalized Intensity.

Diagnostics (Basel, Switzerland)

Manfredini F, Straudi S, Lamberti N, Patergnani S, Tisato V, Secchiero P, Bernardi F, Ziliotto N, Marchetti G, Basaglia N, Bonora M, Pinton P.
PMID: 33080806
Diagnostics (Basel). 2020 Oct 17;10(10). doi: 10.3390/diagnostics10100834.

Abnormal levels of pyruvate and lactate were reported in multiple sclerosis (MS). We studied the response of markers of mitochondrial function to rehabilitation in relation to type, intensity and endurance performance in severely disabled MS patients. Forty-six progressive MS...

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Manfredini F, Straudi S, Lamberti N, et al. Rehabilitation Improves Mitochondrial Energetics in Progressive Multiple Sclerosis: The Significant Role of Robot-Assisted Gait Training and of the Personalized Intensity. Diagnostics (Basel). 2020;10(10)doi: 10.3390/diagnostics10100834.
Manfredini, F., Straudi, S., Lamberti, N., Patergnani, S., Tisato, V., Secchiero, P., Bernardi, F., Ziliotto, N., Marchetti, G., Basaglia, N., Bonora, M., & Pinton, P. (2020). Rehabilitation Improves Mitochondrial Energetics in Progressive Multiple Sclerosis: The Significant Role of Robot-Assisted Gait Training and of the Personalized Intensity. Diagnostics (Basel, Switzerland), 10(10), . https://doi.org/10.3390/diagnostics10100834
Manfredini, Fabio, et al. "Rehabilitation Improves Mitochondrial Energetics in Progressive Multiple Sclerosis: The Significant Role of Robot-Assisted Gait Training and of the Personalized Intensity." Diagnostics (Basel, Switzerland) vol. 10,10 (2020). doi: https://doi.org/10.3390/diagnostics10100834
Manfredini F, Straudi S, Lamberti N, Patergnani S, Tisato V, Secchiero P, Bernardi F, Ziliotto N, Marchetti G, Basaglia N, Bonora M, Pinton P. Rehabilitation Improves Mitochondrial Energetics in Progressive Multiple Sclerosis: The Significant Role of Robot-Assisted Gait Training and of the Personalized Intensity. Diagnostics (Basel). 2020 Oct 17;10(10). doi: 10.3390/diagnostics10100834. PMID: 33080806; PMCID: PMC7602995.
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Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using .

Polymers

Brojanigo S, Parro E, Cazzorla T, Favaro L, Basaglia M, Casella S.
PMID: 32635554
Polymers (Basel). 2020 Jul 04;12(7). doi: 10.3390/polym12071496.

Due to oil shortage and environmental problems, synthetic plastics have to be replaced by different biodegradable materials. A promising alternative could be polyhydroxyalkanoates (PHAs), and the low-cost abundant agricultural starchy by-products could be usefully converted into PHAs by properly...

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Brojanigo S, Parro E, Cazzorla T, et al. Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using . Polymers (Basel). 2020;12(7)doi: 10.3390/polym12071496.
Brojanigo, S., Parro, E., Cazzorla, T., Favaro, L., Basaglia, M., & Casella, S. (2020). Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using . Polymers, 12(7), . https://doi.org/10.3390/polym12071496
Brojanigo, Silvia, et al. "Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using ." Polymers vol. 12,7 (2020). doi: https://doi.org/10.3390/polym12071496
Brojanigo S, Parro E, Cazzorla T, Favaro L, Basaglia M, Casella S. Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using . Polymers (Basel). 2020 Jul 04;12(7). doi: 10.3390/polym12071496. PMID: 32635554; PMCID: PMC7407217.
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Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-.

Frontiers in bioengineering and biotechnology

Favaro L, Cagnin L, Corte L, Roscini L, De Pascale F, Treu L, Campanaro S, Basaglia M, van Zyl WH, Casella S, Cardinali G.
PMID: 31850332
Front Bioeng Biotechnol. 2019 Nov 28;7:376. doi: 10.3389/fbioe.2019.00376. eCollection 2019.

In the lignocellulosic yeast development, metabolic burden relates to redirection of resources from regular cellular activities toward the needs created by recombinant protein production. As a result, growth parameters may be greatly affected. Noteworthy,

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Favaro L, Cagnin L, Corte L, et al. Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-. Front Bioeng Biotechnol. 2019;7:376doi: 10.3389/fbioe.2019.00376.
Favaro, L., Cagnin, L., Corte, L., Roscini, L., De Pascale, F., Treu, L., Campanaro, S., Basaglia, M., van Zyl, W. H., Casella, S., & Cardinali, G. (2019). Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-. Frontiers in bioengineering and biotechnology, 7376. https://doi.org/10.3389/fbioe.2019.00376
Favaro, Lorenzo, et al. "Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-." Frontiers in bioengineering and biotechnology vol. 7 (2019): 376. doi: https://doi.org/10.3389/fbioe.2019.00376
Favaro L, Cagnin L, Corte L, Roscini L, De Pascale F, Treu L, Campanaro S, Basaglia M, van Zyl WH, Casella S, Cardinali G. Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-. Front Bioeng Biotechnol. 2019 Nov 28;7:376. doi: 10.3389/fbioe.2019.00376. eCollection 2019. PMID: 31850332; PMCID: PMC6893308.
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Monitoring Step Activity During Task-Oriented Circuit Training in High-Functioning Chronic Stroke Survivors: A Proof-of-Concept Feasibility Study.

Annals of rehabilitation medicine

Straudi S, Martinuzzi C, Baroni A, Benedetti MG, Foti C, Sabbagh Charabati A, Pavarelli C, Basaglia N.
PMID: 28119828
Ann Rehabil Med. 2016 Dec;40(6):989-997. doi: 10.5535/arm.2016.40.6.989. Epub 2016 Dec 30.

OBJECTIVE: To explore the amount of practice and progression during task-oriented circuit training (TOCT) in chronic stroke survivors; to test the use of pedometers and observation-based measures in detecting step activity; to verify the possible correlation between step activity...

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Straudi S, Martinuzzi C, Baroni A, et al. Monitoring Step Activity During Task-Oriented Circuit Training in High-Functioning Chronic Stroke Survivors: A Proof-of-Concept Feasibility Study. Ann Rehabil Med. 2016;40(6):989-997doi: 10.5535/arm.2016.40.6.989.
Straudi, S., Martinuzzi, C., Baroni, A., Benedetti, M. G., Foti, C., Sabbagh Charabati, A., Pavarelli, C., & Basaglia, N. (2016). Monitoring Step Activity During Task-Oriented Circuit Training in High-Functioning Chronic Stroke Survivors: A Proof-of-Concept Feasibility Study. Annals of rehabilitation medicine, 40(6), 989-997. https://doi.org/10.5535/arm.2016.40.6.989
Straudi, Sofia, et al. "Monitoring Step Activity During Task-Oriented Circuit Training in High-Functioning Chronic Stroke Survivors: A Proof-of-Concept Feasibility Study." Annals of rehabilitation medicine vol. 40,6 (2016): 989-997. doi: https://doi.org/10.5535/arm.2016.40.6.989
Straudi S, Martinuzzi C, Baroni A, Benedetti MG, Foti C, Sabbagh Charabati A, Pavarelli C, Basaglia N. Monitoring Step Activity During Task-Oriented Circuit Training in High-Functioning Chronic Stroke Survivors: A Proof-of-Concept Feasibility Study. Ann Rehabil Med. 2016 Dec;40(6):989-997. doi: 10.5535/arm.2016.40.6.989. Epub 2016 Dec 30. PMID: 28119828; PMCID: PMC5256327.
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Differential .

Pathogens (Basel, Switzerland)

Casarotto M, Pratesi C, Bidoli E, Maiero S, Magris R, Steffan A, Basaglia G, Canzonieri V, De Re V, Cannizzaro R, Zanussi S.
PMID: 31109082
Pathogens. 2019 May 18;8(2). doi: 10.3390/pathogens8020065.

No abstract available.

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Casarotto M, Pratesi C, Bidoli E, et al. Differential . Pathogens. 2019;8(2)doi: 10.3390/pathogens8020065.
Casarotto, M., Pratesi, C., Bidoli, E., Maiero, S., Magris, R., Steffan, A., Basaglia, G., Canzonieri, V., De Re, V., Cannizzaro, R., & Zanussi, S. (2019). Differential . Pathogens (Basel, Switzerland), 8(2), . https://doi.org/10.3390/pathogens8020065
Casarotto, Mariateresa, et al. "Differential ." Pathogens (Basel, Switzerland) vol. 8,2 (2019). doi: https://doi.org/10.3390/pathogens8020065
Casarotto M, Pratesi C, Bidoli E, Maiero S, Magris R, Steffan A, Basaglia G, Canzonieri V, De Re V, Cannizzaro R, Zanussi S. Differential . Pathogens. 2019 May 18;8(2). doi: 10.3390/pathogens8020065. PMID: 31109082; PMCID: PMC6630233.
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Genome Sequence of .

Genome announcements

de Diego-Diaz B, Treu L, Campanaro S, da Silva Duarte V, Basaglia M, Favaro L, Casella S, Squartini A.
PMID: 29371355
Genome Announc. 2018 Jan 25;6(4). doi: 10.1128/genomeA.01518-17.

The genome sequence of

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de Diego-Diaz B, Treu L, Campanaro S, et al. Genome Sequence of . Genome Announc. 2018;6(4)doi: 10.1128/genomeA.01518-17.
de Diego-Diaz, B., Treu, L., Campanaro, S., da Silva Duarte, V., Basaglia, M., Favaro, L., Casella, S., & Squartini, A. (2018). Genome Sequence of . Genome announcements, 6(4), . https://doi.org/10.1128/genomeA.01518-17
de Diego-Diaz, B, et al. "Genome Sequence of ." Genome announcements vol. 6,4 (2018). doi: https://doi.org/10.1128/genomeA.01518-17
de Diego-Diaz B, Treu L, Campanaro S, da Silva Duarte V, Basaglia M, Favaro L, Casella S, Squartini A. Genome Sequence of . Genome Announc. 2018 Jan 25;6(4). doi: 10.1128/genomeA.01518-17. PMID: 29371355; PMCID: PMC5786681.
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