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52. Small Extracellular Vesicles from adipose-derived stem cells suppress cell proliferation by delivering the let-7 family of microRNAs in ovarian cancer

Author

Suzuki, Hironori, primary, Yokoi, Akira, additional, Uno, Kaname, additional, Yoshida, Kosuke, additional, Kitagawa, Masami, additional, Asano-Inami, Eri, additional, Matsuo, Seiko, additional, Nagao, Yukari, additional, Suzuki, Kazuhiro, additional, Nakamura, Kae, additional, Yoshihara, Masato, additional, Tamauchi, Satoshi, additional, Shimizu, Yusuke, additional, Ikeda, Yoshiki, additional, Yoshikawa, Nobuhisa, additional, Kajiyama, Hiroaki, additional, and Yamamoto, Yusuke, additional

Published
2023
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53. The prognostic significance of DDIT4 in endometrial cancer

Author

Yoshikawa, Nobuhisa, primary, Yoshida, Kosuke, additional, Liu, Wenting, additional, Matsukawa, Tetsuya, additional, Hattori, Satomi, additional, Yoshihara, Masato, additional, Tamauchi, Satoshi, additional, Ikeda, Yoshiki, additional, Yokoi, Akira, additional, Shimizu, Yusuke, additional, Niimi, Kaoru, additional, and Kajiyama, Hiroaki, additional

Published
2023
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55. Real‐world data of poly (ADP‐ribose) polymerase inhibitor response in Japanese patients with ovarian cancer.

Author

Uekusa, Ryosuke, Yokoi, Akira, Watanabe, Eri, Yoshida, Kosuke, Yoshihara, Masato, Tamauchi, Satoshi, Shimizu, Yusuke, Ikeda, Yoshiki, Yoshikawa, Nobuhisa, Niimi, Kaoru, Suzuki, Shiro, and Kajiyama, Hiroaki

Subjects
JAPANESE people, OVARIAN cancer, HOMOLOGOUS recombination, CANCER patients, OLAPARIB, POLY ADP ribose
Abstract

Background: Poly (ADP‐ribose) polymerase (PARP) inhibitors have been increasingly used in the treatment of ovarian cancer, with BRCA positivity and homologous recombination deficiency (HRD) being common biomarkers used for predicting their efficacy. However, given the limitations of these biomarkers, new ones need to be explored. Methods: This retrospective study included 181 ovarian cancer patients who received olaparib or niraparib at two independent hospitals in Japan between May 2018 and December 2022. Clinical information and blood sampling data were collected. Patient characteristics, treatment history, and predictability of treatment duration based on blood data before treatment initiation were examined. Results: High‐grade serous carcinoma, BRCA positivity, HRD, and maintenance therapy after recurrence treatment were observed more frequently in the olaparib group than in the niraparib group. The most common reasons for treatment interruption were anemia, fatigue, and nausea in the olaparib group and thrombocytopenia in the niraparib group. Regarding response to olaparib treatment, complete response to the most recent treatment, maintenance therapy after the first chemotherapy, high‐grade serous carcinoma, and germline BRCA positivity were observed significantly more frequently among responders than among non‐responders. Furthermore, neutrophil counts were significantly higher among responders than among non‐responders. Conclusions: Inflammation‐related blood data, such as neutrophil count, obtained at the initial pre‐treatment visit might serve as potential predictors for prolonged olaparib treatment. While this study offers valuable insights into potential indicators for prolonged olaparib treatment, it underscores the need for more expansive research to strengthen our understanding of PARP inhibitors and optimize treatment strategies in ovarian cancer. [ABSTRACT FROM AUTHOR]

Published
2024
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56. An update of oncologic and obstetric outcomes of radical trachelectomy for early‐stage cervical cancer: The need for further minimally invasive treatment.

Author

Tamauchi, Satoshi, Iyoshi, Shohei, Yoshihara, Masato, Yoshida, Kosuke, Ikeda, Yoshiki, Shimizu, Yusuke, Yokoi, Akira, Niimi, Kaoru, Yoshikawa, Nobuhisa, and Kajiyama, Hiroaki

Subjects
TRACHELECTOMY, LYMPHADENECTOMY, PREMATURE infants, MINIMALLY invasive procedures, DURATION of pregnancy, CANCER relapse, TUMOR classification, TREATMENT effectiveness, PREGNANCY outcomes, PREGNANCY complications, CERVIX uteri tumors, PELVIS, EVALUATION
Abstract

Aims: To investigate the oncologic and obstetric outcomes of radical trachelectomy (RT) in patients with early‐stage cervical cancer and to evaluate the potential role of fertility‐preserving treatments in improving pregnancy outcomes while oncologic status is stable. Methods: In this single‐institution study, we analyzed the oncologic and obstetric outcomes of 67 patients with early‐stage cervical cancer who underwent RT at Nagoya University Hospital. Results: The cancer recurrence rate (6.0%) and the mortality rate (1.5%) were comparable with those of previous studies. Of the 46 patients who attempted to conceive after RT, 19 (41.3%) became pregnant, and 16 gave birth. Of these 37.5% delivered at term, and delivery at less than 28 weeks of gestation occurred in 31.3% of pregnancies. Conclusions: RT is a viable treatment option for selected patients with early‐stage cervical cancer. However, the use of less invasive techniques, such as conization/simple trachelectomy and pelvic lymph node dissection, may improve pregnancy outcomes while oncologic status is stable. [ABSTRACT FROM AUTHOR]

Published
2024
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57. Altered offspring neurodevelopment in an L-NAME-induced preeclampsia rat model

Author

Nakamura, Noriyuki, primary, Ushida, Takafumi, additional, Onoda, Atsuto, additional, Ueda, Kazuto, additional, Miura, Ryosuke, additional, Suzuki, Toshihiko, additional, Katsuki, Satoru, additional, Mizutani, Hidesuke, additional, Yoshida, Kosuke, additional, Tano, Sho, additional, Iitani, Yukako, additional, Imai, Kenji, additional, Hayakawa, Masahiro, additional, Kajiyama, Hiroaki, additional, Sato, Yoshiaki, additional, and Kotani, Tomomi, additional

Published
2023
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58. Identifying high-grade serous ovarian carcinoma–specific extracellular vesicles by polyketone-coated nanowires

Author

Yokoi, Akira, primary, Ukai, Mayu, additional, Yasui, Takao, additional, Inokuma, Yasuhide, additional, Hyeon-Deuk, Kim, additional, Matsuzaki, Juntaro, additional, Yoshida, Kosuke, additional, Kitagawa, Masami, additional, Chattrairat, Kunanon, additional, Iida, Mikiko, additional, Shimada, Taisuke, additional, Manabe, Yumehiro, additional, Chang, I-Ya, additional, Asano-Inami, Eri, additional, Koya, Yoshihiro, additional, Nawa, Akihiro, additional, Nakamura, Kae, additional, Kiyono, Tohru, additional, Kato, Tomoyasu, additional, Hirakawa, Akihiko, additional, Yoshioka, Yusuke, additional, Ochiya, Takahiro, additional, Hasegawa, Takeshi, additional, Baba, Yoshinobu, additional, Yamamoto, Yusuke, additional, and Kajiyama, Hiroaki, additional

Published
2023
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68. Usefulness of Texture and Color Enhancement Imaging (TXI) in Assessing Mucosal Healing in Patients with Ulcerative Colitis

Author

Hayashi, Yukie, primary, Takabayashi, Kaoru, additional, Kato, Motohiko, additional, Tojo, Anna, additional, Aoki, Yasuhiro, additional, Hagihara, Yuya, additional, Yoshida, Kosuke, additional, Yoshimatsu, Yusuke, additional, Kiyohara, Hiroki, additional, Sugimoto, Shinya, additional, Nanki, Kosaku, additional, Mikami, Yohei, additional, Sujino, Tomohisa, additional, Mutaguchi, Makoto, additional, Kawaguchi, Takaaki, additional, Hosoe, Naoki, additional, Yahagi, Naohisa, additional, Ogata, Haruhiko, additional, and Kanai, Takanori, additional

Published
2022
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70. A rare case of signet ring cell carcinoma with diffuse cutaneous systemic sclerosis: A case report.

Author

Sano, Yuriko, Yoshida, Kosuke, Hibi, Erina, Sekiya, Atsushi, Watanabe, Yuriko, and Shibata, Daijiro

Subjects
*ADENOCARCINOMA, *OVARIAN tumors, *SYSTEMIC scleroderma, *RARE diseases, *SQUAMOUS cell carcinoma
Abstract

Systemic sclerosis, an autoimmune disease characterized by fibrosis and vasculopathy of the skin and other multiple organs has been associated with an increased risk of malignancy. We present the case of a 74‐year‐old woman who had diffused cutaneous systemic sclerosis and uterine cervical cancer. The patient was initially diagnosed with stage IIB squamous cell carcinoma and concurrent chemoradiotherapy was planned. However, cisplatin could not be administered due to acute renal failure, so the patient was treated solely with radiotherapy. However, complications of systemic sclerosis progressed rapidly, and the patient died 63 days later from pulmonary edema. An autopsy later revealed that uterine cervix had primary signet ring cell carcinoma. We suspected that this patient had a combination of signet ring cell carcinoma and squamous cell carcinoma, with squamous cell carcinoma disappearing after radiotherapy. This case highlighted the importance of systemic management for cancers associated with systemic sclerosis. [ABSTRACT FROM AUTHOR]

Published
2023
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73. Measurement and Operational Improvement in an Office with Thermo Active Building System

Author

Namai Toshiki, Shinoda Jun, Furukawa Ryoya, Tanabe Shin-ichi, Sato Kosuke, Kataoka Eri, and Yoshida Kosuke

Subjects
Environmental sciences, GE1-350
Abstract

Thermo Active Building System (TABS) is applied in office buildings in many European countries as a promising energy-efficient solution with a comfortable thermal environment. However, TABS is rarely applied in Japanese buildings because of the risk of dew condensation during the hot and humid summer season. In this study, the indoor environment and thermal sensation in an office building equipped with TABS was investigated; the building is located in an urban area in Tokyo, Japan. Soon after occupancy, field measurements and questionnaire surveys were conducted during the summer and winter seasons for two consecutive years. The operation of TABS was improved based on first-year measurement results. As a result, the ceiling surface setpoint temperature was relaxed, maintaining high satisfaction in summer. In winter, it was confirmed that the operation of TABS was not necessary, and, as a result, satisfaction improved.

Published
2019
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78. Drug library screening identifies histone deacetylase inhibition as a novel therapeutic strategy for choriocarcinoma.

Author

Watanabe, Eri, Yokoi, Akira, Yoshida, Kosuke, Sugiyama, Mai, Kitagawa, Masami, Nishino, Kimihiro, Yamamoto, Eiko, Niimi, Kaoru, Yamamoto, Yusuke, and Kajiyama, Hiroaki

Subjects
CHORIOCARCINOMA, HISTONE deacetylase, CUTANEOUS T-cell lymphoma, CANCER chemotherapy, HISTONE deacetylase inhibitors, DRUG repositioning, RNA sequencing
Abstract

Background: Choriocarcinoma is a rare and aggressive gynecological malignancy. The standard treatment is systemic chemotherapy as choriocarcinoma exhibits high chemosensitivity. However, refractory choriocarcinoma exhibits chemoresistance; thus, the prognosis remains very poor. This study aimed to identify novel therapeutic agents for choriocarcinoma by utilizing a drug repositioning strategy. Methods: Three choriocarcinoma cell lines (JAR, JEG‐3, and BeWo) and a human extravillous trophoblast cell line (HTR‐8/SVneo) were used for the analyses. The growth inhibitory effects of 1,271 FDA‐approved compounds were evaluated in vitro screening assays and selected drugs were tested in tumor‐bearing mice. Functional analyses of drug effects were performed based on RNA sequencing. Results: Muti‐step screening identified vorinostat, camptothecin (S, +), topotecan, proscillaridin A, and digoxin as exhibiting an anti‐cancer effect in choriocarcinoma cells. Vorinostat, a histone deacetylase inhibitor, was selected as a promising candidate for validation and the IC50 values for choriocarcinoma cells were approximately 1 μM. RNA sequencing and subsequent pathway analysis revealed that the ferroptosis pathway was likely implicated, and key ferroptosis‐related genes (i.e., GPX4, NRF2, and SLC3A2) were downregulated following vorinostat treatment. Furthermore, vorinostat repressed tumor growth and downregulated the expression of GPX4 and NRF2 in JAR cell‐bearing mice model. Conclusion: Vorinostat, a clinically approved drug for the treatment of advanced primary cutaneous T‐cell lymphoma, showed a remarkable anticancer effect both in vitro and in vivo by regulating the expression of ferroptosis‐related genes. Therefore, vorinostat may be an effective therapeutic candidate for patients with choriocarcinoma. [ABSTRACT FROM AUTHOR]

Published
2023
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81. Integrative transcriptomics analysis for uterine leiomyosarcoma identifies aberrant activation of cell cycle-dependent kinases and their potential therapeutic significance.

Author

Yoshida, Kosuke, primary, Yokoi, Akira, additional, Yamamoto, Tomofumi, additional, Hayashi, Yusuke, additional, Nakayama, Jun, additional, Yokoi, Tsuyoshi, additional, Yoshida, Hiroshi, additional, Kato, Tomoyasu, additional, Kajiyama, Hiroaki, additional, and Yamamoto, Yusuke, additional

Published
2022
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82. DOCK2 is involved in the host genetics and biology of severe COVID-19

Author

Namkoong, Ho, Edahiro, Ryuya, Takano, Tomomi, Nishihara, Hiroshi, Shirai, Yuya, Sonehara, Kyuto, Tanaka, Hiromu, Azekawa, Shuhei, Mikami, Yohei, Lee, Ho, Hasegawa, Takanori, Okudela, Koji, Okuzaki, Daisuke, Motooka, Daisuke, Kanai, Masahiro, Naito, Tatsuhiko, Yamamoto, Kenichi, Wang, Qingbo S., Saiki, Ryunosuke, Ishihara, Rino, Matsubara, Yuta, Hamamoto, Junko, Hayashi, Hiroyuki, Yoshimura, Yukihiro, Tachikawa, Natsuo, Yanagita, Emmy, Hyugaji, Takayoshi, Shimizu, Eigo, Katayama, Kotoe, Kato, Yasuhiro, Morita, Takayoshi, Takahashi, Kazuhisa, Harada, Norihiro, Naito, Toshio, Hiki, Makoto, Matsushita, Yasushi, Takagi, Haruhi, Aoki, Ryousuke, Nakamura, Ai, Harada, Sonoko, Sasano, Hitoshi, Kabata, Hiroki, Masaki, Katsunori, Kamata, Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Morita, Atsuho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Uchida, Sho, Uno, Shunsuke, Nishimura, Tomoyasu, Ishiguro, Takashi, Isono, Taisuke, Shibata, Shun, Matsui, Yuma, Hosoda, Chiaki, Takano, Kenji, Nishida, Takashi, Kobayashi, Yoichi, Takaku, Yotaro, Takayanagi, Noboru, Ueda, Soichiro, Tada, Ai, Miyawaki, Masayoshi, Yamamoto, Masaomi, Yoshida, Eriko, Hayashi, Reina, Nagasaka, Tomoki, Arai, Sawako, Kaneko, Yutaro, Sasaki, Kana, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Takahashi, Kunihiko, Anzai, Tatsuhiko, Ito, Satoshi, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro Tani, Nakajima, Jun, Nakano, Yasushi, Nakajima, Yukiko, Anan, Ryusuke, Arai, Ryosuke, Kurihara, Yuko, Harada, Yuko, Nishio, Kazumi, Ueda, Tetsuya, Azuma, Masanori, Saito, Ryuichi, Sado, Toshikatsu, Miyazaki, Yoshimune, Sato, Ryuichi, Haruta, Yuki, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Kimura, Tomoki, Sato, Tomonori, Takei, Reoto, Hagimoto, Satoshi, Noguchi, Yoichiro, Yamano, Yasuhiko, Sasano, Hajime, Ota, Sho, Nakamori, Yasushi, Yoshiya, Kazuhisa, Saito, Fukuki, Yoshihara, Tomoyuki, Wada, Daiki, Iwamura, Hiromu, Kanayama, Syuji, Maruyama, Shuhei, Yoshiyama, Takashi, Ohta, Ken, Kokuto, Hiroyuki, Ogata, Hideo, Tanaka, Yoshiaki, Arakawa, Kenichi, Shimoda, Masafumi, Osawa, Takeshi, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Kawada, Miki, Horinouchi, Hirohisa, Saito, Fumitake, Mitamura, Keiko, Hagihara, Masao, Ochi, Junichi, Uchida, Tomoyuki, Baba, Rie, Arai, Daisuke, Ogura, Takayuki, Takahashi, Hidenori, Hagiwara, Shigehiro, Nagao, Genta, Konishi, Shunichiro, Nakachi, Ichiro, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Sano, Hirohito, Matsumoto, Shuichiro, Kimura, Nozomu, Ono, Yoshinao, Baba, Hiroaki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Namba, Shinichi, Suzuki, Ken, Naito, Yoko, Liu, Yu-Chen, Takuwa, Ayako, Sugihara, Fuminori, Wing, James B., Sakakibara, Shuhei, Hizawa, Nobuyuki, Shiroyama, Takayuki, Miyawaki, Satoru, Kawamura, Yusuke, Nakayama, Akiyoshi, Matsuo, Hirotaka, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Yamaguchi, Yuta, Murakami, Teruaki, Kuge, Tomoki, Matsumoto, Kinnosuke, Yamamoto, Yuji, Yamamoto, Makoto, Yoneda, Midori, Kishikawa, Toshihiro, Yamada, Shuhei, Kawabata, Shuhei, Kijima, Noriyuki, Takagaki, Masatoshi, Sasa, Noah, Ueno, Yuya, Suzuki, Motoyuki, Takemoto, Norihiko, Eguchi, Hirotaka, Fukusumi, Takahito, Imai, Takao, Fukushima, Munehisa, Kishima, Haruhiko, Inohara, Hidenori, Tomono, Kazunori, Kato, Kazuto, Takahashi, Meiko, Matsuda, Fumihiko, Hirata, Haruhiko, Takeda, Yoshito, Koh, Hidefumi, Manabe, Tadashi, Funatsu, Yohei, Ito, Fumimaro, Fukui, Takahiro, Shinozuka, Keisuke, Kohashi, Sumiko, Miyazaki, Masatoshi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Takaoka, Hatsuyo, Watanabe, Kazuyoshi, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Sugimoto, Hideyasu, Kamiya, Akane, Kuwahara, Naota, Fujiwara, Akiko, Matsunaga, Tomohiro, Sato, Yoko, Okada, Takenori, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Nishi, Koichi, Nishitsuji, Masaru, Tani, Mayuko, Suzuki, Junya, Nakatsumi, Hiroki, Ogura, Takashi, Kitamura, Hideya, Hagiwara, Eri, Murohashi, Kota, Okabayashi, Hiroko, Mochimaru, Takao, Nukaga, Shigenari, Satomi, Ryosuke, Oyamada, Yoshitaka, Mori, Nobuaki, Baba, Tomoya, Fukui, Yasutaka, Odate, Mitsuru, Mashimo, Shuko, Makino, Yasushi, Yagi, Kazuma, Hashiguchi, Mizuha, Kagyo, Junko, Shiomi, Tetsuya, Fuke, Satoshi, Saito, Hiroshi, Tsuchida, Tomoya, Fujitani, Shigeki, Takita, Mumon, Morikawa, Daiki, Yoshida, Toru, Izumo, Takehiro, Inomata, Minoru, Kuse, Naoyuki, Awano, Nobuyasu, Tone, Mari, Ito, Akihiro, Nakamura, Yoshihiko, Hoshino, Kota, Maruyama, Junichi, Ishikura, Hiroyasu, Takata, Tohru, Odani, Toshio, Amishima, Masaru, Hattori, Takeshi, Shichinohe, Yasuo, Kagaya, Takashi, Kita, Toshiyuki, Ohta, Kazuhide, Sakagami, Satoru, Koshida, Kiyoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Kozu, Yutaka, Hiranuma, Hisato, Gon, Yasuhiro, Izumi, Namiki, Nagata, Kaoru, Ueda, Ken, Taki, Reiko, Hanada, Satoko, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Muranaka, Hiroyuki, Nakamura, Kazunori, Hashimoto, Naozumi, Wakahara, Keiko, Koji, Sakamoto, Omote, Norihito, Ando, Akira, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Kuraki, Takashige, Matsumoto, Takemasa, Yokote, Koutaro, Nakada, Taka-Aki, Abe, Ryuzo, Oshima, Taku, Shimada, Tadanaga, Harada, Masahiro, Takahashi, Takeshi, Ono, Hiroshi, Sakurai, Toshihiro, Shibusawa, Takayuki, Kimizuka, Yoshifumi, Kawana, Akihiko, Sano, Tomoya, Watanabe, Chie, Suematsu, Ryohei, Sageshima, Hisako, Yoshifuji, Ayumi, Ito, Kazuto, Takahashi, Saeko, Ishioka, Kota, Nakamura, Morio, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Ueda, Suguru, Nishikawa, Masanori, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Shinozuka, Jun, Sueyoshi, Atsushi, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Shimo, Masatoshi, Tokunaga, Yoshihisa, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Ogawa, Aki, Inoue, Takuya, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Kan-o, Keiko, Matsumoto, Koichiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Inoue, Yoshiaki, Chiba, Shigeru, Yamagata, Kunihiro, Hiramatsu, Yuji, Kai, Hirayasu, Asano, Koichiro, Oguma, Tsuyoshi, Ito, Yoko, Hashimoto, Satoru, Yamasaki, Masaki, Kasamatsu, Yu, Komase, Yuko, Hida, Naoya, Tsuburai, Takahiro, Oyama, Baku, Takada, Minoru, Kanda, Hidenori, Kitagawa, Yuichiro, Fukuta, Tetsuya, Miyake, Takahito, Yoshida, Shozo, Ogura, Shinji, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Takoi, Hiroyuki, Kikuchi, Ryota, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Wada, Sae, Fujimoto, Nobukazu, Nishiyama, Kei, Terashima, Mariko, Beppu, Satoru, Yoshida, Kosuke, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Umeda, Akira, Miyagawa, Kazuya, Shimada, Hisato, Endo, Mayu, Ohira, Yoshiyuki, Watanabe, Masafumi, Inoue, Sumito, Igarashi, Akira, Sato, Masamichi, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Kimura, Tomoyuki, Shibata, Yoko, Tanino, Yoshinori, Nikaido, Takefumi, Minemura, Hiroyuki, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Takahashi, Hiroshi, Fujii, Kazuhiko, Kishi, Hiroto, Kanai, Masayuki, Imamura, Tomonori, Yamashita, Tatsuya, Yatomi, Masakiyo, Maeno, Toshitaka, Hayashi, Shinichi, Takahashi, Mai, Kuramochi, Mizuki, Kamimaki, Isamu, Tominaga, Yoshiteru, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Tanaka, Toru, Kashiwada, Takeru, Fujita, Kazue, Saito, Yoshinobu, Seike, Masahiro, Watanabe, Hiroko, Matsuse, Hiroto, Kodaka, Norio, Nakano, Chihiro, Oshio, Takeshi, Hirouchi, Takatomo, Makino, Shohei, Egi, Moritoki, Matsuda, Koichi, Yamanashi, Yuji, Furukawa, Yoichi, Morisaki, Takayuki, Murakami, Yoshinori, Kamatani, Yoichiro, Muto, Kaori, Nagai, Akiko, Obara, Wataru, Yamaji, Ken, Asai, Satoshi, Takahashi, Yasuo, Suzuki, Takao, Sinozaki, Nobuaki, Yamaguchi, Hiroki, Minami, Shiro, Murayama, Shigeo, Yoshimori, Kozo, Nagayama, Satoshi, Obata, Daisuke, Higashiyama, Masahiko, Masumoto, Akihide, Koretsune, Yukihiro, Omae, Yosuke, Nannya, Yasuhito, Ueno, Takafumi, Katayama, Kazuhiko, Ai, Masumi, Fukui, Yoshinori, Kumanogoh, Atsushi, Sato, Toshiro, Hasegawa, Naoki, Tokunaga, Katsushi, Ishii, Makoto, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, Fukunaga, Koichi, and Okada, Yukinori

Subjects
Genome-wide association studies, Japan, Genetics research, Weight Loss, Immunogenetics, Animals, Guanine Nucleotide Exchange Factors, Humans, Genetic Predisposition to Disease, RNA-Seq, Lung, Alleles, Multidisciplinary, Host Microbial Interactions, Mesocricetus, SARS-CoV-2, Macrophages, GTPase-Activating Proteins, COVID-19, Pneumonia, Middle Aged, Viral Load, Disease Models, Animal, Viral infection, Interferon Type I, Pyrazoles, Genome-Wide Association Study
Abstract

Identifying the host genetic factors underlying severe COVID-19 is an emerging challenge. Here we conducted a genome-wide association study (GWAS) involving 2, 393 cases of COVID-19 in a cohort of Japanese individuals collected during the initial waves of the pandemic, with 3, 289 unaffected controls. We identified a variant on chromosome 5 at 5q35 (rs60200309-A), close to the dedicator of cytokinesis 2 gene (DOCK2), which was associated with severe COVID-19 in patients less than 65 years of age. This risk allele was prevalent in East Asian individuals but rare in Europeans, highlighting the value of genome-wide association studies in non-European populations. RNA-sequencing analysis of 473 bulk peripheral blood samples identified decreased expression of DOCK2 associated with the risk allele in these younger patients. DOCK2 expression was suppressed in patients with severe cases of COVID-19. Single-cell RNA-sequencing analysis (n = 61 individuals) identified cell-type-specific downregulation of DOCK2 and a COVID-19-specific decreasing effect of the risk allele on DOCK2 expression in non-classical monocytes. Immunohistochemistry of lung specimens from patients with severe COVID-19 pneumonia showed suppressed DOCK2 expression. Moreover, inhibition of DOCK2 function with CPYPP increased the severity of pneumonia in a Syrian hamster model of SARS-CoV-2 infection, characterized by weight loss, lung oedema, enhanced viral loads, impaired macrophage recruitment and dysregulated type I interferon responses. We conclude that DOCK2 has an important role in the host immune response to SARS-CoV-2 infection and the development of severe COVID-19, and could be further explored as a potential biomarker and/or therapeutic target., 「コロナ制圧タスクフォース」COVID-19疾患感受性遺伝子DOCK2の重症化機序を解明 --アジア最大のバイオレポジトリーでCOVID-19の治療標的を発見--. 京都大学プレスリリース. 2022-08-10.

Published
2021

84. Prediction of human pharmacokinetics for low‐clearance compounds using pharmacokinetic data from chimeric mice with humanized livers

Author

Yoshida, Kosuke, primary, Doi, Yuki, additional, Iwazaki, Norihiko, additional, Yasuhara, Hidenori, additional, Ikenaga, Yuka, additional, Shimizu, Hidetoshi, additional, Nakada, Tomohisa, additional, Watanabe, Tomoko, additional, Tateno, Chise, additional, Sanoh, Seigo, additional, and Kotake, Yaichiro, additional

Published
2021
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91. Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan

Author

Namkoong, Ho, primary, Edahiro, Ryuya, additional, Fukunaga, Koichi, additional, Shirai, Yuya, additional, Sonehara, Kyuto, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Hasegawa, Takanori, additional, Kanai, Masahiro, additional, Naito, Tatsuhiko, additional, Yamamoto, Kenichi, additional, Saiki, Ryunosuke, additional, Hyugaji, Takayoshi, additional, Shimizu, Eigo, additional, Katayama, Kotoe, additional, Takahashi, Kazuhisa, additional, Harada, Norihiro, additional, Naito, Toshio, additional, Hiki, Makoto, additional, Matsushita, Yasushi, additional, Takagi, Haruhi, additional, Aoki, Ryousuke, additional, Nakamura, Ai, additional, Harada, Sonoko, additional, Sasano, Hitoshi, additional, Kabata, Hiroki, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ikemura, Shinnosuke, additional, Chubachi, Shotaro, additional, Okamori, Satoshi, additional, Terai, Hideki, additional, Morita, Atsuho, additional, Asakura, Takanori, additional, Sasaki, Junichi, additional, Morisaki, Hiroshi, additional, Uwamino, Yoshifumi, additional, Nanki, Kosaku, additional, Mikami, Yohei, additional, Uchida, Sho, additional, Uno, Shunsuke, additional, Ishihara, Rino, additional, Matsubara, Yuta, additional, Nishimura, Tomoyasu, additional, Ogawa, Takanori, additional, Ishiguro, Takashi, additional, Isono, Taisuke, additional, Shibata, Shun, additional, Matsui, Yuma, additional, Hosoda, Chiaki, additional, Takano, Kenji, additional, Nishida, Takashi, additional, Kobayashi, Yoichi, additional, Takaku, Yotaro, additional, Takayanagi, Noboru, additional, Ueda, Soichiro, additional, Tada, Ai, additional, Miyawaki, Masayoshi, additional, Yamamoto, Masaomi, additional, Yoshida, Eriko, additional, Hayashi, Reina, additional, Nagasaka, Tomoki, additional, Arai, Sawako, additional, Kaneko, Yutaro, additional, Sasaki, Kana, additional, Tagaya, Etsuko, additional, Kawana, Masatoshi, additional, Arimura, Ken, additional, Takahashi, Kunihiko, additional, Anzai, Tatsuhiko, additional, Ito, Satoshi, additional, Endo, Akifumi, additional, Uchimura, Yuji, additional, Miyazaki, Yasunari, additional, Honda, Takayuki, additional, Tateishi, Tomoya, additional, Tohda, Shuji, additional, Ichimura, Naoya, additional, Sonobe, Kazunari, additional, Sassa, Chihiro, additional, Nakajima, Jun, additional, Nakano, Yasushi, additional, Nakajima, Yukiko, additional, Anan, Ryusuke, additional, Arai, Ryosuke, additional, Kurihara, Yuko, additional, Harada, Yuko, additional, Nishio, Kazumi, additional, Ueda, Tetsuya, additional, Azuma, Masanori, additional, Saito, Ryuichi, additional, Sado, Toshikatsu, additional, Miyazaki, Yoshimune, additional, Sato, Ryuichi, additional, Haruta, Yuki, additional, Nagasaki, Tadao, additional, Yasui, Yoshinori, additional, Hasegawa, Yoshinori, additional, Mutoh, Yoshikazu, additional, Sato, Tomonori, additional, Takei, Reoto, additional, Hagimoto, Satoshi, additional, Noguchi, Yoichiro, additional, Yamano, Yasuhiko, additional, Sasano, Hajime, additional, Ota, Sho, additional, Nakamori, Yasushi, additional, Yoshiya, Kazuhisa, additional, Saito, Fukuki, additional, Yoshihara, Tomoyuki, additional, Wada, Daiki, additional, Iwamura, Hiromu, additional, Kanayama, Syuji, additional, Maruyama, Shuhei, additional, Yoshiyama, Takashi, additional, Ohta, Ken, additional, Kokuto, Hiroyuki, additional, Ogata, Hideo, additional, Tanaka, Yoshiaki, additional, Arakawa, Kenichi, additional, Shimoda, Masafumi, additional, Osawa, Takeshi, additional, Tateno, Hiroki, additional, Hase, Isano, additional, Yoshida, Shuichi, additional, Suzuki, Shoji, additional, Kawada, Miki, additional, Horinouchi, Hirohisa, additional, Saito, Fumitake, additional, Mitamura, Keiko, additional, Hagihara, Masao, additional, Ochi, Junichi, additional, Uchida, Tomoyuki, additional, Baba, Rie, additional, Arai, Daisuke, additional, Ogura, Takayuki, additional, Takahashi, Hidenori, additional, Hagiwara, Shigehiro, additional, Nagao, Genta, additional, Konishi, Shunichiro, additional, Nakachi, Ichiro, additional, Murakami, Koji, additional, Yamada, Mitsuhiro, additional, Sugiura, Hisatoshi, additional, Sano, Hirohito, additional, Matsumoto, Shuichiro, additional, Kimura, Nozomu, additional, Ono, Yoshinao, additional, Baba, Hiroaki, additional, Suzuki, Yusuke, additional, Nakayama, Sohei, additional, Masuzawa, Keita, additional, Namba, Shinichi, additional, Suzuki, Ken, additional, Hizawa, Nobuyuki, additional, Shiroyama, Takayuki, additional, Miyawaki, Satoru, additional, Kawamura, Yusuke, additional, Nakayama, Akiyoshi, additional, Matsuo, Hirotaka, additional, Maeda, Yuichi, additional, Nii, Takuro, additional, Noda, Yoshimi, additional, Niitsu, Takayuki, additional, Adachi, Yuichi, additional, Enomoto, Takatoshi, additional, Amiya, Saori, additional, Hara, Reina, additional, Kishikawa, Toshihiro, additional, Yamada, Shuhei, additional, Kawabata, Shuhei, additional, Kijima, Noriyuki, additional, Takagaki, Masatoshi, additional, Sasa, Noa, additional, Ueno, Yuya, additional, Suzuki, Motoyuki, additional, Takemoto, Norihiko, additional, Eguchi, Hirotaka, additional, Fukusumi, Takahito, additional, Imai, Takao, additional, Fukushima, Munehisa, additional, Kishima, Haruhiko, additional, Inohara, Hidenori, additional, Tomono, Kazunori, additional, Kato, Kazuto, additional, Takahashi, Meiko, additional, Matsuda, Fumihiko, additional, Hirata, Haruhiko, additional, Takeda, Yoshito, additional, Koh, Hidefumi, additional, Manabe, Tadashi, additional, Funatsu, Yohei, additional, Ito, Fumimaro, additional, Fukui, Takahiro, additional, Shinozuka, Keisuke, additional, Kohashi, Sumiko, additional, Miyazaki, Masatoshi, additional, Shoko, Tomohisa, additional, Kojima, Mitsuaki, additional, Adachi, Tomohiro, additional, Ishikawa, Motonao, additional, Takahashi, Kenichiro, additional, Inoue, Takashi, additional, Hirano, Toshiyuki, additional, Kobayashi, Keigo, additional, Takaoka, Hatsuyo, additional, Watanabe, Kazuyoshi, additional, Miyazawa, Naoki, additional, Kimura, Yasuhiro, additional, Sado, Reiko, additional, Sugimoto, Hideyasu, additional, Kamiya, Akane, additional, Kuwahara, Naota, additional, Fujiwara, Akiko, additional, Matsunaga, Tomohiro, additional, Sato, Yoko, additional, Okada, Takenori, additional, Hirai, Yoshihiro, additional, Kawashima, Hidetoshi, additional, Narita, Atsuya, additional, Niwa, Kazuki, additional, Sekikawa, Yoshiyuki, additional, Nishi, Koichi, additional, Nishitsuji, Masaru, additional, Tani, Mayuko, additional, Suzuki, Junya, additional, Nakatsumi, Hiroki, additional, Ogura, Takashi, additional, Kitamura, Hideya, additional, Hagiwara, Eri, additional, Murohashi, Kota, additional, Okabayashi, Hiroko, additional, Mochimaru, Takao, additional, Nukaga, Shigenari, additional, Satomi, Ryosuke, additional, Oyamada, Yoshitaka, additional, Mori, Nobuaki, additional, Baba, Tomoya, additional, Fukui, Yasutaka, additional, Odate, Mitsuru, additional, Mashimo, Shuko, additional, Makino, Yasushi, additional, Yagi, Kazuma, additional, Hashiguchi, Mizuha, additional, Kagyo, Junko, additional, Shiomi, Tetsuya, additional, Fuke, Satoshi, additional, Saito, Hiroshi, additional, Tsuchida, Tomoya, additional, Fujitani, Shigeki, additional, Takita, Mumon, additional, Morikawa, Daiki, additional, Yoshida, Toru, additional, Izumo, Takehiro, additional, Inomata, Minoru, additional, Kuse, Naoyuki, additional, Awano, Nobuyasu, additional, Tone, Mari, additional, Ito, Akihiro, additional, Nakamura, Yoshihiko, additional, Hoshino, Kota, additional, Maruyama, Junichi, additional, Ishikura, Hiroyasu, additional, Takata, Tohru, additional, Odani, Toshio, additional, Amishima, Masaru, additional, Hattori, Takeshi, additional, Shichinohe, Yasuo, additional, Kagaya, Takashi, additional, Kita, Toshiyuki, additional, Ohta, Kazuhide, additional, Sakagami, Satoru, additional, Koshida, Kiyoshi, additional, Hayashi, Kentaro, additional, Shimizu, Tetsuo, additional, Kozu, Yutaka, additional, Hiranuma, Hisato, additional, Gon, Yasuhiro, additional, Izumi, Namiki, additional, Nagata, Kaoru, additional, Ueda, Ken, additional, Taki, Reiko, additional, Hanada, Satoko, additional, Kawamura, Kodai, additional, Ichikado, Kazuya, additional, Nishiyama, Kenta, additional, Muranaka, Hiroyuki, additional, Nakamura, Kazunori, additional, Hashimoto, Naozumi, additional, Wakahara, Keiko, additional, Koji, Sakamoto, additional, Omote, Norihito, additional, Ando, Akira, additional, Kodama, Nobuhiro, additional, Kaneyama, Yasunari, additional, Maeda, Shunsuke, additional, Kuraki, Takashige, additional, Matsumoto, Takemasa, additional, Yokote, Koutaro, additional, Nakada, Taka-Aki, additional, Abe, Ryuzo, additional, Oshima, Taku, additional, Shimada, Tadanaga, additional, Harada, Masahiro, additional, Takahashi, Takeshi, additional, Ono, Hiroshi, additional, Sakurai, Toshihiro, additional, Shibusawa, Takayuki, additional, Kimizuka, Yoshifumi, additional, Kawana, Akihiko, additional, Sano, Tomoya, additional, Watanabe, Chie, additional, Suematsu, Ryohei, additional, Sageshima, Hisako, additional, Yoshifuji, Ayumi, additional, Ito, Kazuto, additional, Takahashi, Saeko, additional, Ishioka, Kota, additional, Nakamura, Morio, additional, Masuda, Makoto, additional, Wakabayashi, Aya, additional, Watanabe, Hiroki, additional, Ueda, Suguru, additional, Nishikawa, Masanori, additional, Chihara, Yusuke, additional, Takeuchi, Mayumi, additional, Onoi, Keisuke, additional, Shinozuka, Jun, additional, Sueyoshi, Atsushi, additional, Nagasaki, Yoji, additional, Okamoto, Masaki, additional, Ishihara, Sayoko, additional, Shimo, Masatoshi, additional, Tokunaga, Yoshihisa, additional, Kusaka, Yu, additional, Ohba, Takehiko, additional, Isogai, Susumu, additional, Ogawa, Aki, additional, Inoue, Takuya, additional, Fukuyama, Satoru, additional, Eriguchi, Yoshihiro, additional, Yonekawa, Akiko, additional, Kan-o, Keiko, additional, Matsumoto, Koichiro, additional, Kanaoka, Kensuke, additional, Ihara, Shoichi, additional, Komuta, Kiyoshi, additional, Inoue, Yoshiaki, additional, Chiba, Shigeru, additional, Yamagata, Kunihiro, additional, Hiramatsu, Yuji, additional, Kai, Hirayasu, additional, Asano, Koichiro, additional, Oguma, Tsuyoshi, additional, Ito, Yoko, additional, Hashimoto, Satoru, additional, Yamasaki, Masaki, additional, Kasamatsu, Yu, additional, Komase, Yuko, additional, Hida, Naoya, additional, Tsuburai, Takahiro, additional, Oyama, Baku, additional, Takada, Minoru, additional, Kanda, Hidenori, additional, Kitagawa, Yuichiro, additional, Fukuta, Tetsuya, additional, Miyake, Takahito, additional, Yoshida, Shozo, additional, Ogura, Shinji, additional, Abe, Shinji, additional, Kono, Yuta, additional, Togashi, Yuki, additional, Takoi, Hiroyuki, additional, Kikuchi, Ryota, additional, Ogawa, Shinichi, additional, Ogata, Tomouki, additional, Ishihara, Shoichiro, additional, Kanehiro, Arihiko, additional, Ozaki, Shinji, additional, Fuchimo, Yasuko, additional, Wada, Sae, additional, Fujimoto, Nobukazu, additional, Nishiyama, Kei, additional, Terashima, Mariko, additional, Beppu, Satoru, additional, Yoshida, Kosuke, additional, Narumoto, Osamu, additional, Nagai, Hideaki, additional, Ooshima, Nobuharu, additional, Motegi, Mitsuru, additional, Umeda, Akira, additional, Miyagawa, Kazuya, additional, Shimada, Hisato, additional, Endo, Mayu, additional, Ohira, Yoshiyuki, additional, Watanabe, Masafumi, additional, Inoue, Sumito, additional, Igarashi, Akira, additional, Sato, Masamichi, additional, Sagara, Hironori, additional, Tanaka, Akihiko, additional, Ohta, Shin, additional, Kimura, Tomoyuki, additional, Shibata, Yoko, additional, Tanino, Yoshinori, additional, Nikaido, Takefumi, additional, Minemura, Hiroyuki, additional, Sato, Yuki, additional, Yamada, Yuichiro, additional, Hashino, Takuya, additional, Shinoki, Masato, additional, Iwagoe, Hajime, additional, Takahashi, Hiroshi, additional, Fujii, Kazuhiko, additional, Kishi, Hiroto, additional, Kanai, Masayuki, additional, Imamura, Tomonori, additional, Yamashita, Tatsuya, additional, Yatomi, Masakiyo, additional, Maeno, Toshitaka, additional, Hayashi, Shinichi, additional, Takahashi, Mai, additional, Kuramochi, Mizuki, additional, Kamimaki, Isamu, additional, Tominaga, Yoshiteru, additional, Ishii, Tomoo, additional, Utsugi, Mitsuyoshi, additional, Ono, Akihiro, additional, Tanaka, Toru, additional, Kashiwada, Takeru, additional, Fujita, Kazue, additional, Saito, Yoshinobu, additional, Seike, Masahiro, additional, Omae, Yosuke, additional, Nannya, Yasuhito, additional, Ueno, Takafumi, additional, Takano, Tomomi, additional, Katayama, Kazuhiko, additional, Ai, Masumi, additional, Kumanogoh, Atsushi, additional, Sato, Toshiro, additional, Hasegawa, Naoki, additional, Tokunaga, Katsushi, additional, Ishii, Makoto, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Okada, Yukinori, additional

Published
2021
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93. Significance of Concurrent Chemoradiotherapy as Primary Treatment in Patients with Metastatic Cervical Cancer

Author

Hattori, Satomi, primary, Yoshikawa, Nobuhisa, additional, Mogi, Kazumasa, additional, Yoshida, Kosuke, additional, Yoshihara, Masato, additional, Tamauchi, Satoshi, additional, Ikeda, Yoshiki, additional, Yokoi, Akira, additional, Nishino, Kimihiro, additional, Niimi, Kaoru, additional, Suzuki, Shiro, additional, and Kajiyama, Hiroaki, additional

Published
2021
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97. Dectin-1/IL-15 Pathway Affords Protection against Extrapulmonary Aspergillus fumigatusInfection by Regulating Natural Killer Cell Survival

Author

Yoshikawa, Fábio S.Y., Wakatsuki, Maki, Yoshida, Kosuke, Yabe, Rikio, Torigoe, Shota, Yamasaki, Sho, Barber, Glen N., and Saijo, Shinobu

Abstract

Aspergillus fumigatusis a ubiquitous, yet potentially pathogenic, mold. The immune system employs innate receptors, such as dectin-1, to recognize fungal pathogens, but the immunological networks that afford protection are poorly explored. Here, we investigated the role of dectin-1 in anti-A. fumigatusresponse in an experimental model of acute invasive aspergillosis. Mice lacking dectin-1 presented enhanced signs of inflammation, with increased production of inflammatory cytokines and neutrophil infiltration, quickly succumbing to the infection. Curiously, resistance did not require T/B lymphocytes or IL-17. Instead, the main effector function of dectin-1 was the preservation of the NK cell population in the kidneys by the provision of the cytokine IL-15. While the depletion of NK cells impaired host defense in wild-type mice, IL-15 administration restored antifungal responses in dectin-1-deficient mice. Our results uncover a new effector mechanism for dectin-1 in anti-Aspergillusdefense, adding an alternative approach to understand the pathophysiology of this infection.

Published
2023
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98. Neurological prognosis prediction for cardiac arrest patients using quantitative imaging biomarkers from brain computed tomography.

Author

Nakamoto, Takahiro, Nawa, Kanabu, Nishiyama, Kei, Yoshida, Kosuke, Saito, Daizo, Horiguchi, Masahito, Shinya, Yuki, Ohta, Takeshi, Ozaki, Sho, Nozawa, Yuki, Minamitani, Masanari, Imae, Toshikazu, Abe, Osamu, Yamashita, Hideomi, and Nakagawa, Keiichi

Abstract

• We predict the neurological prognosis of cardiac arrest patients using brain CT biomarkers. • We extracted 1131 biomarkers from two volumes of interest on brain CT images. • Various combinations of feature selections and ML algorithms were investigated. • The gray level with the maximum histogram gradient provided a high classification performance. • Our predictor may promote routine CT imaging for decision support in acute care. We aimed to predict the neurological prognosis of cardiac arrest (CA) patients using quantitative imaging biomarkers extracted from brain computed tomography images. We retrospectively enrolled 86 CA patients (good prognosis, 32; poor prognosis, 54) who were treated at three hospitals between 2017 and 2019. We then extracted 1131 quantitative imaging biomarkers from whole-brain and local volumes of interest in the computed tomography images of the patients. The data were split into training and test sets containing 60 and 26 samples, respectively, and the training set was used to select representative quantitative imaging biomarkers for classification. In univariate analysis, the classification was evaluated using the p -value of the Brunner–Munzel test and area under the receiver operating characteristic curve (AUC) for the test set. In multivariate analysis, machine learning models reflecting nonlinear and complex relations were trained, and they were evaluated using the AUC on the test set. The best performance provided p = 0.009 (<0.01) and an AUC of 0.775 (95% confidence interval, 0.590–0.960) for the univariate analysis and an AUC of 0.813 (95% confidence interval, 0.640–0.985) for the multivariate analysis. Overall, the gray level with the maximum gradient in the histogram of the three-dimensionally low-pass-filtered image was an important feature for prediction across the analyses. Quantitative imaging biomarkers can be used in neurological prognosis prediction for CA patients. Relevant biomarkers may contribute to protocolized computed tomography image acquisition to ensure proper decision support in acute care. [ABSTRACT FROM AUTHOR]

Published
2024
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