Yoshitaka Nagashima

Dr. Yoshitaka Nagashima

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in iScience
Verified
Journal Article
Open access
TFToshiki Fukuoka
Toshiki Fukuoka
AKAkira Kato
Akira Kato
MHMasaki Hirano
Masaki Hirano
FOFumiharu Ohka
Fumiharu Ohka
KAKosuke Aoki
Kosuke Aoki
ANAtsushi Natsume
Atsushi Natsume
The transcriptome analysis of injured Xenopus laevis tadpole and mice suggested that Neurod4L.S., a basic-helix-loop-helix transcription factor, was the most promising transcription factor to exert neuroregeneration after spinal cord injury (SCI) in mammals. We generated a pseudotyped retroviral vector with the neurotropic lymphocytic choriomeningitis virus (LCMV) envelope to deliver murine Neurod4 to mice undergoing SCI. SCI induced ependymal cells to neural stem cells (NSCs) in the central canal. The LCMV envelope-based pseudotypedvector preferentially introduced Neurod4 into activated NSCs, which converted to neurons with axonal regrowth and suppressed the scar-forming glial lineage. Neurod4-induced inhibitory neurons predominantly projected to the subsynaptic domains of motor neurons at the epicenter, and Neurod4-induced excitatory neurons predominantly projected to subsynaptic domains of motor neurons caudal to the injury site suggesting the formation of functional synapses. Thus, Neurod4 is a potential therapeutic factor that can improve anatomical and functional recovery after SCI.

6 November 2024 in Heliyon
Verified
Journal Article
Open access
Takafumi TaneiTakafumi Tanei
Takafumi Tanei
YFYutaro Fuse
Yutaro Fuse
SMSatoshi Maesawa
Satoshi Maesawa
YNYusuke Nishimura
Yusuke Nishimura
TITomotaka Ishizaki
Tomotaka Ishizaki
RSRyuta Saito
Ryuta Saito
Abrupt discontinuation of overused medications is standard treatment for medication overuse headache (MOH), but discontinuation is difficult to maintain. The aim was to evaluate the real-world clinical results of anti-calcitonin gene-related peptide monoclonal antibody (CGRP-mAb) treatment for migraine with MOH without abrupt drug discontinuation and no hospitalization. Data were collected before starting CGRP-mAb injections (baseline) and 1 month after each injection. The following items were compared between baseline and after the first, second, and third CGRP-mAb injections, monthly headache days (MHD), monthly migraine days (MMD), monthly acute medication use (AMU) days, monthly total amount of AMU tablets, headache impact test-6 (HIT-6), and the migraine-specific quality of life questionnaire (MSQ). Achieving reduction rates ≥50 % in the frequency of each headache and migraine was defined as a good response. Achieving reduction rates of both AMU days and tablets ≥50 % was defined as effective in reducing AMU. This study included 33 patients with migraine with MOH. After the third CGRP-mAb injection, MHD and MMD were significantly decreased from median 30.0 to 9.5 days, and 10.0 to 1.5 days, respectively. In addition, monthly AMU days and tablets were significantly decreased from median 28.0 to 8.0 days, and 30.0 to 9.5 tablets, respectively. After the third CGRP-mAb injection, the good MHD and MMD responder rates were 75.0 % and 85.7 %, respectively. The rate of reducing AMU was 78.6 %. HIT-6 and MSQ scores decreased significantly from baseline to after each CGRP-mAb injection. When CGRP-mAb was administered to migraine with MOH, frequency of headache symptoms and AMU were reduced without abrupt drug discontinuation and no hospitalization.

25 April 2022 in World Neurosurgery
Verified
Journal Article
Closed access
TATakayuki Awaya
Takayuki Awaya
YNYusuke Nishimura
Yusuke Nishimura
KEKaoru Eguchi
Kaoru Eguchi
YNYoshitaka Nagashima
Yoshitaka Nagashima
RARyo Ando
Ryo Ando
RSRyuta Saito
Ryuta Saito

22 April 2025 in Neurology International
Verified
Journal Article
Open access
PDF file
Takafumi TaneiTakafumi Tanei
Takafumi Tanei
SYShun Yamamoto
Shun Yamamoto
SMSatoshi Maesawa
Satoshi Maesawa
YNYusuke Nishimura
Yusuke Nishimura
TITomotaka Ishizaki
Tomotaka Ishizaki
RSRyuta Saito
Ryuta Saito
Background/Objectives: Lasmiditan is a newly developed drug for the acute treatment of migraine attacks, but factors associated with its efficacy remain unclear. This study aimed to confirm the efficacy of lasmiditan started at 50 mg under various dosing conditions and identify factors associated with its efficacy. Methods: There are four reasons for prescribing lasmiditan: as an add-on to triptan, if triptan is ineffective, if triptan produces side effects, and when triptan is contraindicated. Lasmiditan was administered at a dose of 50 mg. The efficacy of lasmiditan was defined as the disappearance of headache or a 50% or greater reduction in headache intensity within two hours after dosing. This study included 108 patients with migraines who took lasmiditan. Results: The results for efficacy and the side effects of lasmiditan were as follows: effective without side effects (22), effective with mild side effects (32), ineffective (14), and severe side effects (40). The efficacy rate of lasmiditan 50 mg was 50.0% (54/108). The following factors were found to be associated with lasmiditan’s efficacy: sex, migraine classification, calcium channel blockers, and anti-calcitonin gene-related peptide monoclonal antibody (CGRP-mAb) treatment. The overall incidence of side effects was 66.7%, and the dropout rate was 37.0%. Somnolence was more prevalent in the effective group, and other side effects were more prevalent in patients who dropped out due to the side effects of lasmiditan. Conclusions: Lasmiditan is likely to be effective in males with severe migraine classification and receiving CGRP-mAb treatment. If mild somnolence is a side effect, the drug can be continued and may be effective.

9 October 2023 in Scientific Reports
Verified
Journal Article
Open access
PDF file
YFYutaro Fuse
Yutaro Fuse
YNYoshitaka Nagashima
Yoshitaka Nagashima
HNHiroshi Nishiwaki
Hiroshi Nishiwaki
FOFumiharu Ohka
Fumiharu Ohka
YMYusuke Muramatsu
Yusuke Muramatsu
RSRyuta Saito
Ryuta Saito
Chronic subdural hematoma (CSDH) often causes neurological deterioration and is treated with hematoma evacuation. This study aimed to assess the feasibility of various machine learning models to preoperatively predict the functional outcome of patients with CSDH. Data were retrospectively collected from patients who underwent CSDH surgery at two institutions: one for internal validation and the other for external validation. The poor functional outcome was defined as a modified Rankin scale score of 3–6 upon hospital discharge. The unfavorable outcome was predicted using four machine learning algorithms on an internal held-out cohort (n = 188): logistic regression, support vector machine (SVM), random forest, and light gradient boosting machine. The prediction performance of these models was also validated in an external cohort (n = 99). The area under the curve of the receiver operating characteristic curve (ROC-AUC) of each machine learning-based model was found to be high in both validations (internal: 0.906–0.925, external: 0.833–0.860). In external validation, the SVM model demonstrated the highest ROC-AUC of 0.860 and accuracy of 0.919. This study revealed the potential of machine learning algorithms in predicting unfavorable outcomes at discharge among patients with CSDH undergoing burr hole surgery.

1 January 2021 in World Neurosurgery
Verified
Journal Article
Closed access
SASho Akahori
Sho Akahori
YNYusuke Nishimura
Yusuke Nishimura
KEKaoru Eguchi
Kaoru Eguchi
YNYoshitaka Nagashima
Yoshitaka Nagashima
RARyo Ando
Ryo Ando
ANAtsushi Natsume
Atsushi Natsume