Search

Your search keyword '"Higo-Yamamoto, Sayaka"' showing total 8 results
Start Over Author "Higo-Yamamoto, Sayaka" Search Limiters Available in Library Collection
8 results on '"Higo-Yamamoto, Sayaka"'

2. Large-scale animal model study uncovers altered brain pH and lactate levels as a transdiagnostic endophenotype of neuropsychiatric disorders involving cognitive impairment

Author

Hagihara, Hideo, primary, Shoji, Hirotaka, additional, Hattori, Satoko, additional, Sala, Giovanni, additional, Takamiya, Yoshihiro, additional, Tanaka, Mika, additional, Ihara, Masafumi, additional, Shibutani, Mihiro, additional, Hatada, Izuho, additional, Hori, Kei, additional, Hoshino, Mikio, additional, Nakao, Akito, additional, Mori, Yasuo, additional, Okabe, Shigeo, additional, Matsushita, Masayuki, additional, Urbach, Anja, additional, Katayama, Yuta, additional, Matsumoto, Akinobu, additional, Nakayama, Keiichi I, additional, Katori, Shota, additional, Sato, Takuya, additional, Iwasato, Takuji, additional, Nakamura, Haruko, additional, Goshima, Yoshio, additional, Raveau, Matthieu, additional, Tatsukawa, Tetsuya, additional, Yamakawa, Kazuhiro, additional, Takahashi, Noriko, additional, Kasai, Haruo, additional, Inazawa, Johji, additional, Nobuhisa, Ikuo, additional, Kagawa, Tetsushi, additional, Taga, Tetsuya, additional, Darwish, Mohamed, additional, Nishizono, Hirofumi, additional, Takao, Keizo, additional, Sapkota, Kiran, additional, Nakazawa, Kazutoshi, additional, Takagi, Tsuyoshi, additional, Fujisawa, Haruki, additional, Sugimura, Yoshihisa, additional, Yamanishi, Kyosuke, additional, Rajagopal, Lakshmi, additional, Hannah, Nanette Deneen, additional, Meltzer, Herbert Y, additional, Yamamoto, Tohru, additional, Wakatsuki, Shuji, additional, Araki, Toshiyuki, additional, Tabuchi, Katsuhiko, additional, Numakawa, Tadahiro, additional, Kunugi, Hiroshi, additional, Huang, Freesia L, additional, Hayata-Takano, Atsuko, additional, Hashimoto, Hitoshi, additional, Tamada, Kota, additional, Takumi, Toru, additional, Kasahara, Takaoki, additional, Kato, Tadafumi, additional, Graef, Isabella A, additional, Crabtree, Gerald R, additional, Asaoka, Nozomi, additional, Hatakama, Hikari, additional, Kaneko, Shuji, additional, Kohno, Takao, additional, Hattori, Mitsuharu, additional, Hoshiba, Yoshio, additional, Miyake, Ryuhei, additional, Obi-Nagata, Kisho, additional, Hayashi-Takagi, Akiko, additional, Becker, Léa J, additional, Yalcin, Ipek, additional, Hagino, Yoko, additional, Kotajima-Murakami, Hiroko, additional, Moriya, Yuki, additional, Ikeda, Kazutaka, additional, Kim, Hyopil, additional, Kaang, Bong-Kiun, additional, Otabi, Hikari, additional, Yoshida, Yuta, additional, Toyoda, Atsushi, additional, Komiyama, Noboru H, additional, Grant, Seth GN, additional, Ida-Eto, Michiru, additional, Narita, Masaaki, additional, Matsumoto, Ken-ichi, additional, Okuda-Ashitaka, Emiko, additional, Ohmori, Iori, additional, Shimada, Tadayuki, additional, Yamagata, Kanato, additional, Ageta, Hiroshi, additional, Tsuchida, Kunihiro, additional, Inokuchi, Kaoru, additional, Sassa, Takayuki, additional, Kihara, Akio, additional, Fukasawa, Motoaki, additional, Usuda, Nobuteru, additional, Katano, Tayo, additional, Tanaka, Teruyuki, additional, Yoshihara, Yoshihiro, additional, Igarashi, Michihiro, additional, Hayashi, Takashi, additional, Ishikawa, Kaori, additional, Yamamoto, Satoshi, additional, Nishimura, Naoya, additional, Nakada, Kazuto, additional, Hirotsune, Shinji, additional, Egawa, Kiyoshi, additional, Higashisaka, Kazuma, additional, Tsutsumi, Yasuo, additional, Nishihara, Shoko, additional, Sugo, Noriyuki, additional, Yagi, Takeshi, additional, Ueno, Naoto, additional, Yamamoto, Tomomi, additional, Kubo, Yoshihiro, additional, Ohashi, Rie, additional, Shiina, Nobuyuki, additional, Shimizu, Kimiko, additional, Higo-Yamamoto, Sayaka, additional, Oishi, Katsutaka, additional, Mori, Hisashi, additional, Furuse, Tamio, additional, Tamura, Masaru, additional, Shirakawa, Hisashi, additional, Sato, Daiki X, additional, Inoue, Yukiko U, additional, Inoue, Takayoshi, additional, Komine, Yuriko, additional, Yamamori, Tetsuo, additional, Sakimura, Kenji, additional, and Miyakawa, Tsuyoshi, additional

Published
2024
Full Text
View/download PDF

5. Identification of salivary microRNA profiles in male mouse model of chronic sleep disorder.

Author

Yoshida, Yuta, Yajima, Yuhei, Fujikura, Yuri, Zhuang, Haotong, Higo-Yamamoto, Sayaka, Toyoda, Atsushi, and Oishi, Katsutaka

Subjects
MALE models, SLEEP disorders, LABORATORY mice, SLEEP quality, ANIMAL disease models
Abstract

Chronic sleep disorders (CSD) comprise a potential risk factor for metabolic and cardiovascular diseases, obesity and stroke. Thus, the identification of biomarkers for CSD is an important step in the early prevention of metabolic dysfunctions induced by sleep dysfunction. Diagnostic saliva samples can be easily and noninvasively collected. Thus, we aimed to identify whole microRNA (miRNA) profiles of saliva in control and psychophysiologically stressed CSD mouse models and compare them at Zeitgeber time (ZT) 0 (lights on) and ZT12 (lights off). The findings of two-way ANOVA revealed that the expression of 342 and 109 salivary miRNAs was affected by CSD and the time of day, respectively. Interactions were found in 122 miRNAs among which, we identified 197 (ZT0) and 62 (ZT12) upregulated, and 40 (ZT0) and seven (ZT12) downregulated miRNAs in CSD mice. We showed that miR-30c-5p, which is elevated in the plasma of patients with hypersomnia, was upregulated in the saliva of CSD mice collected at ZT0. The miRNAs, miR-10a-5p, miR-146b-5p, miR-150-5p, and miR-25-3p are upregulated in the serum of humans with poor sleep quality, and these were also upregulated in the saliva of CSD mice collected at ZT0. The miRNAs miR-30c, miR146b-5p, miR150, and miR-25-5p are associated with cardiovascular diseases, and we found that plasma concentrations of brain natriuretic peptides were significantly increased in CSD mice. The present findings showed that salivary miRNA profiles could serve as useful biomarkers for predicting CSD. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

7. Circadian and sleep phenotypes in a mouse model of Alzheimer's disease characterized by intracellular accumulation of amyloid β oligomers.

Author

Sato T, Ochiishi T, Higo-Yamamoto S, and Oishi K

Subjects
Animals, Sleep physiology, Mice, Male, Wakefulness physiology, Electroencephalography, Sleep Wake Disorders physiopathology, Sleep Wake Disorders etiology, Sleep Wake Disorders metabolism, Sleep, REM physiology, Mice, Inbred C57BL, Alzheimer Disease physiopathology, Alzheimer Disease metabolism, Amyloid beta-Peptides metabolism, Mice, Transgenic, Circadian Rhythm physiology, Disease Models, Animal, Phenotype
Abstract

Disturbances in sleep-wake and circadian rhythms may reportedly precede the onset of cognitive symptoms in the early stages of Alzheimer's disease (AD); however, the underlying mechanisms of these AD-induced sleep disturbances remain unelucidated. To specifically evaluate the involvement of amyloid beta (Aβ) oligomers in AD-induced sleep disturbances, we examined circadian and sleep phenotypes using an Aβ-GFP transgenic (Aβ-GFP Tg) mouse characterized by intracellular accumulation of Aβ oligomers. The circadian rhythm and free-running period of wheel running activity were identical between Aβ-GFP Tg and littermate wild-type mice. The durations of rapid eye movement (REM) sleep were elongated in Aβ-GFP Tg mice; however, the durations of non-REM sleep and wakefulness were unaffected. The Aβ-GFP Tg mice exhibited shifts in the electroencephalogram (EEG) power spectra toward higher frequencies in the inactive light phase. These findings suggest that the intracellular accumulation of Aβ oligomers might be associated with sleep quality; however, its impact on circadian systems is limited.

Published
2024
Full Text
View/download PDF

8. Identification of salivary microRNA profiles in male mouse model of chronic sleep disorder.

Author

Yoshida Y, Yajima Y, Fujikura Y, Zhuang H, Higo-Yamamoto S, Toyoda A, and Oishi K

Subjects
Humans, Male, Mice, Animals, Stress, Psychological, Biomarkers, Disease Models, Animal, Sleep, Cardiovascular Diseases, MicroRNAs genetics, Sleep Wake Disorders
Abstract

Chronic sleep disorders (CSD) comprise a potential risk factor for metabolic and cardiovascular diseases, obesity and stroke. Thus, the identification of biomarkers for CSD is an important step in the early prevention of metabolic dysfunctions induced by sleep dysfunction. Diagnostic saliva samples can be easily and noninvasively collected. Thus, we aimed to identify whole microRNA (miRNA) profiles of saliva in control and psychophysiologically stressed CSD mouse models and compare them at Zeitgeber time (ZT) 0 (lights on) and ZT12 (lights off). The findings of two-way ANOVA revealed that the expression of 342 and 109 salivary miRNAs was affected by CSD and the time of day, respectively. Interactions were found in 122 miRNAs among which, we identified 197 (ZT0) and 62 (ZT12) upregulated, and 40 (ZT0) and seven (ZT12) downregulated miRNAs in CSD mice. We showed that miR-30c-5p, which is elevated in the plasma of patients with hypersomnia, was upregulated in the saliva of CSD mice collected at ZT0. The miRNAs, miR-10a-5p, miR-146b-5p, miR-150-5p, and miR-25-3p are upregulated in the serum of humans with poor sleep quality, and these were also upregulated in the saliva of CSD mice collected at ZT0. The miRNAs miR-30c, miR146b-5p, miR150, and miR-25-5p are associated with cardiovascular diseases, and we found that plasma concentrations of brain natriuretic peptides were significantly increased in CSD mice. The present findings showed that salivary miRNA profiles could serve as useful biomarkers for predicting CSD.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results