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Wu P, Guo Q, Zhao Y, Bian M, Cao S, Zhang J(J, Duan X. Emerging concern on air pollution and health: Trade-off between air pollution exposure and physical activity. Eco Environ Health 2024; 3:202-207. [PMID: 38655004 PMCID: PMC11035044 DOI: 10.1016/j.eehl.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/31/2023] [Accepted: 01/25/2024] [Indexed: 04/26/2024]
Abstract
Air pollution is a major contributor to the global disease burden, especially affecting respiratory and cardiovascular health. However, physical activity is associated with improved lung function, a slower decline in lung function, and lower mortality. The public is more likely to be exposed to air pollution during outdoor physical activity. However, studies on how long-term and short-term exposure to air pollution interacts with physical activity yield inconsistent results, and the thresholds for air pollution and physical activity remain unclear. Thus, more studies are needed to provide sufficient evidence to guide the public to safely engage in outdoor physical activity when exposed to air pollution.
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Affiliation(s)
- Pengpeng Wu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Qian Guo
- China North Artificial Intelligence & Innovation Research Institute, Beiing 100072, China
- Collective Intelligence & Collaboration Laboratory, Beijing 100072, China
| | - Yuchen Zhao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Mengyao Bian
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Junfeng (Jim) Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC 27708, USA
- Duke Kunshan University, Kunshan 215316, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
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Liu J, Fang X, Cao S, Shi Y, Li S, Liu H, Li Y, Xu S, Xia W. Associations of ambient temperature and total cloud cover during pregnancy with newborn vitamin D status. Public Health 2024; 231:179-186. [PMID: 38703492 DOI: 10.1016/j.puhe.2024.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/24/2024] [Accepted: 03/27/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES We aimed to estimate the effects of temperature and total cloud cover before birth on newborn vitamin D status. STUDY DESIGN Prospective birth cohort. METHODS This study included 2055 mother-newborn pairs in Wuhan, Hubei province, China. The data of temperature and total cloud cover from 30 days before birth were collected, and cord blood 25-hydroxyvitamin D [25(OH)D] were determined. Restricted cubic spline regression models, multiple linear regression models, and logistic regression models were applied to estimate the associations. RESULTS A "J" shaped curve was observed between temperature and vitamin D status, and an inverse "J" shaped curve was observed between total cloud cover and vitamin D status. Compared to the fourth quartile (75-100th percentile, Q4) of average temperature (30 days before birth), the odds ratio (OR) for Q1 (0-25th percentile) associated with the vitamin D deficiency occurrence (<20 ng/mL) was 3.63 (95% CI, 1.54, 8.65). Compared to Q1 of the average total cloud cover (30 days before birth), the OR associated with the occurrence of vitamin D deficiency was 2.38 (95% CI, 1.63, 3.50) for the Q4. CONCLUSIONS Low temperature and high cloud cover before delivery were significantly associated with an increased probability of vitamin D deficiency in newborns. The findings suggested that pregnancy women lacking sufficient sunlight exposure still need vitamin D supplement to overcome the potential vitamin D deficiency status.
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Affiliation(s)
- J Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - X Fang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Cao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Shi
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - H Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - W Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Xia M, Jin C, Zheng Y, Wang J, Zhao M, Cao S, Xu T, Pei B, Irwin MG, Lin Z, Jiang H. Deep learning-based facial analysis for predicting difficult videolaryngoscopy: a feasibility study. Anaesthesia 2024; 79:399-409. [PMID: 38093485 DOI: 10.1111/anae.16194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2023] [Indexed: 03/07/2024]
Abstract
While videolaryngoscopy has resulted in better overall success rates of tracheal intubation, airway assessment is still an important prerequisite for safe airway management. This study aimed to create an artificial intelligence model to identify difficult videolaryngoscopy using a neural network. Baseline characteristics, medical history, bedside examination and seven facial images were included as predictor variables. ResNet-18 was introduced to recognise images and extract features. Different machine learning algorithms were utilised to develop predictive models. A videolaryngoscopy view of Cormack-Lehane grade of 1 or 2 was classified as 'non-difficult', while grade 3 or 4 was classified as 'difficult'. A total of 5849 patients were included, of whom 5335 had non-difficult and 514 had difficult videolaryngoscopy. The facial model (only including facial images) using the Light Gradient Boosting Machine algorithm showed the highest area under the curve (95%CI) of 0.779 (0.733-0.825) with a sensitivity (95%CI) of 0.757 (0.650-0.845) and specificity (95%CI) of 0.721 (0.626-0.794) in the test set. Compared with bedside examination and multivariate scores (El-Ganzouri and Wilson), the facial model had significantly higher predictive performance (p < 0.001). Artificial intelligence-based facial analysis is a feasible technique for predicting difficulty during videolaryngoscopy, and the model developed using neural networks has higher predictive performance than traditional methods.
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Affiliation(s)
- M Xia
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Jin
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Zheng
- State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - J Wang
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Zhao
- State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - S Cao
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - T Xu
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - B Pei
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M G Irwin
- Department of Anaesthesiology, University of Hong Kong, Hong Kong
| | - Z Lin
- State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - H Jiang
- Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Erratum: Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande [Phys. Rev. Lett. 130, 031802 (2023)]. Phys Rev Lett 2023; 131:159903. [PMID: 37897794 DOI: 10.1103/physrevlett.131.159903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 10/30/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.130.031802.
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Miller JA, Liu Z, Pinsky B, Le QT, Li T, Cao S, Hildesheim A. Local Cost-Effectiveness of Nasopharyngeal Carcinoma Screening Strategies in Southern China: Secondary Analysis of the PRO-NPC-001 Cluster-Randomized Trial. Int J Radiat Oncol Biol Phys 2023; 117:S70. [PMID: 37784557 DOI: 10.1016/j.ijrobp.2023.06.376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Population-based screening for endemic nasopharyngeal carcinoma (NPC) detects most cases at an early stage. In a cluster-randomized trial conducted in Guangdong, a combination of Epstein-Barr Virus (EBV) anti-VCA/EBNA1 IgA serology and endoscopy reduced NPC mortality. We conducted a secondary analysis of this trial in conjunction with local incidence and cost data, hypothesizing that screening would be cost-effective in this region. MATERIALS/METHODS We estimated population-level NPC mortality reduction, resource utilization, and cost-effectiveness of 12 unique screening strategies in six populations in Guangdong/Guangxi using a previously-validated time-inhomogeneous decision-analytic cohort model. These 12 strategies evaluated combinations of serology, nasopharyngeal swab PCR (NP PCR), endoscopy, and head/neck MRI. Incidence data, screening costs, and healthcare costs were obtained from local cancer registries, laboratories conducting ELISA/PCR, and the Guangdong provincial healthcare system. We evaluated variable screening ages, sexes, intervals, and durations to identify optimal screening approaches from the perspective of the healthcare system in southern China. An incremental cost-effectiveness ratio (ICER) willingness-to-pay threshold of 1.50 times the per-capita GDP was considered cost-effective in southern China. RESULTS For the base strategy screening 50-year-old men and women using only serology and endoscopy, the average cost per screened subject for a single round of screening over a five-year cycle was ¥175.69. The addition of MRI improved sensitivity (76% vs. 62%) and approximately doubled screening costs. Triage with NP PCR was cost-neutral when used in conjunction with MRI and reduced endoscopy/MRI utilization by 37% with a 3-4% reduction in screening sensitivity. Among 50-year-old men and women, screening was cost-effective in all populations provided that medium-risk subjects were not referred for endoscopy/MRI (ICER/GDP 0.62-0.83). The use of NP PCR without MRI (ICER/GDP 0.83) was dominated by the base strategy (ICER/GDP 0.62) due to higher costs and NPC mortality. After a single five-year screening cycle, screening reduced population NPC mortality by 14% with serology + endoscopy and 21% with serology + endoscopy + MRI. Introduction of MRI with or without NP PCR could be cost-effective in all populations. For MRI-based strategies, the most efficient use of resources was deferral of endoscopy unless MRI was abnormal (ICER/GDP 0.67). Overall, the best-performing strategies balanced NPC mortality, screening costs, and MRI utilization. CONCLUSION EBV serology-based screening for endemic NPC is likely to be cost-effective among adult men and women in Guangdong and Guangxi. Referring medium-risk subjects for endoscopy/MRI should be avoided, and NP PCR should be used to triage individuals for MRI rather than endoscopy. These data may aid the design of population-based screening programs in this region.
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Affiliation(s)
- J A Miller
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH
| | - Z Liu
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - B Pinsky
- Department of Pathology, Stanford University, Stanford, CA
| | | | - T Li
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - S Cao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
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Abe K, Akhlaq N, Akutsu R, Ali A, Alonso Monsalve S, Alt C, Andreopoulos C, Antonova M, Aoki S, Arihara T, Asada Y, Ashida Y, Atkin ET, Barbi M, Barker GJ, Barr G, Barrow D, Batkiewicz-Kwasniak M, Bench F, Berardi V, Berns L, Bhadra S, Blanchet A, Blondel A, Bolognesi S, Bonus T, Bordoni S, Boyd SB, Bravar A, Bronner C, Bron S, Bubak A, Buizza Avanzini M, Caballero JA, Calabria NF, Cao S, Carabadjac D, Carter AJ, Cartwright SL, Catanesi MG, Cervera A, Chakrani J, Cherdack D, Chong PS, Christodoulou G, Chvirova A, Cicerchia M, Coleman J, Collazuol G, Cook L, Cudd A, Dalmazzone C, Daret T, Davydov YI, De Roeck A, De Rosa G, Dealtry T, Delogu CC, Densham C, Dergacheva A, Di Lodovico F, Dolan S, Douqa D, Doyle TA, Drapier O, Dumarchez J, Dunne P, Dygnarowicz K, Eguchi A, Emery-Schrenk S, Erofeev G, Ershova A, Eurin G, Fedorova D, Fedotov S, Feltre M, Finch AJ, Fiorentini Aguirre GA, Fiorillo G, Fitton MD, Franco Patiño JM, Friend M, Fujii Y, Fukuda Y, Fusshoeller K, Giannessi L, Giganti C, Glagolev V, Gonin M, González Rosa J, Goodman EAG, Gorin A, Grassi M, Guigue M, Hadley DR, Haigh JT, Hamacher-Baumann P, Harris DA, Hartz M, Hasegawa T, Hassani S, Hastings NC, Hayato Y, Henaff D, Hiramoto A, Hogan M, Holeczek J, Holin A, Holvey T, Hong Van NT, Honjo T, Iacob F, Ichikawa AK, Ikeda M, Ishida T, Ishitsuka M, Israel HT, Iwamoto K, Izmaylov A, Izumi N, Jakkapu M, Jamieson B, Jenkins SJ, Jesús-Valls C, Jiang JJ, Jonsson P, Joshi S, Jung CK, Jurj PB, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kasetti SP, Kataoka Y, Katayama Y, Katori T, Kawaue M, Kearns E, Khabibullin M, Khotjantsev A, Kikawa T, Kikutani H, King S, Kiseeva V, Kisiel J, Kobata T, Kobayashi H, Kobayashi T, Koch L, Kodama S, Konaka A, Kormos LL, Koshio Y, Kostin A, Koto T, Kowalik K, Kudenko Y, Kudo Y, Kuribayashi S, Kurjata R, Kutter T, Kuze M, La Commara M, Labarga L, Lachner K, Lagoda J, Lakshmi SM, Lamers James M, Lamoureux M, Langella A, Laporte JF, Last D, Latham N, Laveder M, Lavitola L, Lawe M, Lee Y, Lin C, Lin SK, Litchfield RP, Liu SL, Li W, Longhin A, Long KR, Lopez Moreno A, Ludovici L, Lu X, Lux T, Machado LN, Magaletti L, Mahn K, Malek M, Mandal M, Manly S, Marino AD, Marti-Magro L, Martin DGR, Martini M, Martin JF, Maruyama T, Matsubara T, Matveev V, Mauger C, Mavrokoridis K, Mazzucato E, McCauley N, McElwee J, McFarland KS, McGrew C, McKean J, Mefodiev A, Megias GD, Mehta P, Mellet L, Metelko C, Mezzetto M, Miller E, Minamino A, Mineev O, Mine S, Miura M, Molina Bueno L, Moriyama S, Moriyama S, Morrison P, Mueller TA, Munford D, Munteanu L, Nagai K, Nagai Y, Nakadaira T, Nakagiri K, Nakahata M, Nakajima Y, Nakamura A, Nakamura H, Nakamura K, Nakamura KD, Nakano Y, Nakayama S, Nakaya T, Nakayoshi K, Naseby CER, Ngoc TV, Nguyen VQ, Niewczas K, Nishimori S, Nishimura Y, Nishizaki K, Nosek T, Nova F, Novella P, Nugent JC, O’Keeffe HM, O’Sullivan L, Odagawa T, Ogawa T, Okada R, Okinaga W, Okumura K, Okusawa T, Ospina N, Owen RA, Oyama Y, Palladino V, Paolone V, Pari M, Parlone J, Parsa S, Pasternak J, Pavin M, Payne D, Penn GC, Pershey D, Pickering L, Pidcott C, Pintaudi G, Pistillo C, Popov B, Porwit K, Posiadala-Zezula M, Prabhu YS, Pupilli F, Quilain B, Radermacher T, Radicioni E, Radics B, Ramírez MA, Ratoff PN, Reh M, Riccio C, Rondio E, Roth S, Roy N, Rubbia A, Ruggeri AC, Ruggles CA, Rychter A, Sakashita K, Sánchez F, Santucci G, Schloesser CM, Scholberg K, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shaikhiev A, Shaker F, Shaykina A, Shiozawa M, Shorrock W, Shvartsman A, Skrobova N, Skwarczynski K, Smyczek D, Smy M, Sobczyk JT, Sobel H, Soler FJP, Sonoda Y, Speers AJ, Spina R, Suslov IA, Suvorov S, Suzuki A, Suzuki SY, Suzuki Y, Sztuc AA, Tada M, Tairafune S, Takayasu S, Takeda A, Takeuchi Y, Takifuji K, Tanaka HK, Tanihara Y, Tani M, Teklu A, Tereshchenko VV, Teshima N, Thamm N, Thompson LF, Toki W, Touramanis C, Towstego T, Tsui KM, Tsukamoto T, Tzanov M, Uchida Y, Vagins M, Vargas D, Varghese M, Vasseur G, Vilela C, Villa E, Vinning WGS, Virginet U, Vladisavljevic T, Wachala T, Walsh JG, Wang Y, Wan L, Wark D, Wascko MO, Weber A, Wendell R, Wilking MJ, Wilkinson C, Wilson JR, Wood K, Wret C, Xia J, Xu YH, Yamamoto K, Yamamoto T, Yanagisawa C, Yang G, Yano T, Yasutome K, Yershov N, Yevarouskaya U, Yokoyama M, Yoshimoto Y, Yoshimura N, Yu M, Zaki R, Zalewska A, Zalipska J, Zaremba K, Zarnecki G, Zhao X, Zhu T, Ziembicki M, Zimmerman ED, Zito M, Zsoldos S. Measurements of neutrino oscillation parameters from the T2K experiment using 3.6×1021 protons on target. Eur Phys J C Part Fields 2023; 83:782. [PMID: 37680254 PMCID: PMC10480298 DOI: 10.1140/epjc/s10052-023-11819-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/10/2023] [Indexed: 09/09/2023]
Abstract
The T2K experiment presents new measurements of neutrino oscillation parameters using 19.7 ( 16.3 ) × 10 20 protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional 4.7 × 10 20 POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on sin 2 θ 13 and the impact of priors on the δ CP measurement. Both analyses prefer the normal mass ordering and upper octant of sin 2 θ 23 with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on sin 2 θ 13 from reactors, sin 2 θ 23 = 0 . 561 - 0.032 + 0.021 using Feldman-Cousins corrected intervals, and Δ m 32 2 = 2 . 494 - 0.058 + 0.041 × 10 - 3 eV 2 using constant Δ χ 2 intervals. The CP-violating phase is constrained to δ CP = - 1 . 97 - 0.70 + 0.97 using Feldman-Cousins corrected intervals, and δ CP = 0 , π is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than 2 σ credible level using a flat prior in δ CP , and just below 2 σ using a flat prior in sin δ CP . When the external constraint on sin 2 θ 13 is removed, sin 2 θ 13 = 28 . 0 - 6.5 + 2.8 × 10 - 3 , in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses.
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Affiliation(s)
- K. Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - N. Akhlaq
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - R. Akutsu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - A. Ali
- TRIUMF, Vancouver, BC Canada
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. Alonso Monsalve
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Alt
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Andreopoulos
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Antonova
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - S. Aoki
- Kobe University, Kobe, Japan
| | - T. Arihara
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - Y. Asada
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Ashida
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. T. Atkin
- Department of Physics, Imperial College London, London, UK
| | - M. Barbi
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
| | - G. J. Barker
- Department of Physics, University of Warwick, Coventry, UK
| | - G. Barr
- Department of Physics, Oxford University, Oxford, UK
| | - D. Barrow
- Department of Physics, Oxford University, Oxford, UK
| | | | - F. Bench
- Department of Physics, University of Liverpool, Liverpool, UK
| | - V. Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - L. Berns
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Bhadra
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Blanchet
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - A. Blondel
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bonus
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Bordoni
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - S. B. Boyd
- Department of Physics, University of Warwick, Coventry, UK
| | - A. Bravar
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Bronner
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Bron
- TRIUMF, Vancouver, BC Canada
| | - A. Bubak
- Institute of Physics, University of Silesia, Katowice, Poland
| | - M. Buizza Avanzini
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. A. Caballero
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - N. F. Calabria
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - S. Cao
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
| | - D. Carabadjac
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - A. J. Carter
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - S. L. Cartwright
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. G. Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - A. Cervera
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. Chakrani
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Cherdack
- Department of Physics, University of Houston, Houston, TX USA
| | - P. S. Chong
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - G. Christodoulou
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Chvirova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Cicerchia
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - J. Coleman
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Cook
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Oxford University, Oxford, UK
| | - A. Cudd
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Dalmazzone
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - T. Daret
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Yu. I. Davydov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - A. De Roeck
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - G. De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - T. Dealtry
- Physics Department, Lancaster University, Lancaster, UK
| | - C. C. Delogu
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - C. Densham
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Dergacheva
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Di Lodovico
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - S. Dolan
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - D. Douqa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - T. A. Doyle
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - O. Drapier
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. Dumarchez
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - P. Dunne
- Department of Physics, Imperial College London, London, UK
| | - K. Dygnarowicz
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - A. Eguchi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. Emery-Schrenk
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Erofeev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Ershova
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Fedorova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Fedotov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Feltre
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. J. Finch
- Physics Department, Lancaster University, Lancaster, UK
| | | | - G. Fiorillo
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. D. Fitton
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - J. M. Franco Patiño
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - M. Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fujii
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Japan
| | - K. Fusshoeller
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - L. Giannessi
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Giganti
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - V. Glagolev
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - M. Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
| | - J. González Rosa
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - E. A. G. Goodman
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Gorin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Grassi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - M. Guigue
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - D. R. Hadley
- Department of Physics, University of Warwick, Coventry, UK
| | - J. T. Haigh
- Department of Physics, University of Warwick, Coventry, UK
| | | | - D. A. Harris
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. Hartz
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- TRIUMF, Vancouver, BC Canada
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Hassani
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. C. Hastings
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Hayato
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - D. Henaff
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Hiramoto
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Hogan
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - J. Holeczek
- Institute of Physics, University of Silesia, Katowice, Poland
| | - A. Holin
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Holvey
- Department of Physics, Oxford University, Oxford, UK
| | - N. T. Hong Van
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
| | - T. Honjo
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - F. Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. K. Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - M. Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - H. T. Israel
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. Iwamoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Izmaylov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Izumi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - M. Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - B. Jamieson
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. J. Jenkins
- Department of Physics, University of Liverpool, Liverpool, UK
| | - C. Jesús-Valls
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - J. J. Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - P. Jonsson
- Department of Physics, Imperial College London, London, UK
| | - S. Joshi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. K. Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. B. Jurj
- Department of Physics, Imperial College London, London, UK
| | - M. Kabirnezhad
- Department of Physics, Imperial College London, London, UK
| | - A. C. Kaboth
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - H. Kakuno
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - J. Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. P. Kasetti
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Katayama
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - T. Katori
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - M. Kawaue
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. Kearns
- Department of Physics, Boston University, Boston, MA USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Kikawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - H. Kikutani
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. King
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - V. Kiseeva
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - J. Kisiel
- Institute of Physics, University of Silesia, Katowice, Poland
| | - T. Kobata
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - H. Kobayashi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - T. Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - L. Koch
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - S. Kodama
- Department of Physics, University of Tokyo, Tokyo, Japan
| | | | - L. L. Kormos
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Koshio
- Department of Physics, Okayama University, Okayama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - A. Kostin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Koto
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - K. Kowalik
- National Centre for Nuclear Research, Warsaw, Poland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
| | - Y. Kudo
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - R. Kurjata
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - T. Kutter
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - M. Kuze
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
| | - M. La Commara
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - L. Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - K. Lachner
- Department of Physics, University of Warwick, Coventry, UK
| | - J. Lagoda
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. M. Lakshmi
- National Centre for Nuclear Research, Warsaw, Poland
| | - M. Lamers James
- Physics Department, Lancaster University, Lancaster, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. Langella
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - J.-F. Laporte
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Last
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Latham
- Department of Physics, University of Warwick, Coventry, UK
| | - M. Laveder
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Lavitola
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. Lawe
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Lee
- Department of Physics, Kyoto University, Kyoto, Japan
| | - C. Lin
- Department of Physics, Imperial College London, London, UK
| | - S.-K. Lin
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - R. P. Litchfield
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. L. Liu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - W. Li
- Department of Physics, Oxford University, Oxford, UK
| | - A. Longhin
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - K. R. Long
- Department of Physics, Imperial College London, London, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - A. Lopez Moreno
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - L. Ludovici
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
| | - X. Lu
- Department of Physics, University of Warwick, Coventry, UK
| | - T. Lux
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - L. N. Machado
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - L. Magaletti
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - K. Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - M. Malek
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. Mandal
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Manly
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - A. D. Marino
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - L. Marti-Magro
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - M. Martini
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- IPSA-DRII, Ivry-sur-Seine, France
| | - J. F. Martin
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - T. Maruyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - T. Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - V. Matveev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C. Mauger
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Mavrokoridis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. McCauley
- Department of Physics, University of Liverpool, Liverpool, UK
| | - J. McElwee
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. S. McFarland
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - C. McGrew
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - J. McKean
- Department of Physics, Imperial College London, London, UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G. D. Megias
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - P. Mehta
- Department of Physics, University of Liverpool, Liverpool, UK
| | - L. Mellet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - C. Metelko
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Mezzetto
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - E. Miller
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - A. Minamino
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Mine
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - M. Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | | | - S. Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - S. Moriyama
- Department of Physics, Yokohama National University, Yokohama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. Morrison
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Th. A. Mueller
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Munford
- Department of Physics, University of Houston, Houston, TX USA
| | - L. Munteanu
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - K. Nagai
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Nagai
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
| | - T. Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - K. Nakagiri
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - M. Nakahata
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Nakajima
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Nakamura
- Department of Physics, Okayama University, Okayama, Japan
| | - H. Nakamura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - K. Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- J-PARC, Tokai, Japan
| | - K. D. Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - Y. Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Nakayama
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Nakaya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Kyoto University, Kyoto, Japan
| | - K. Nakayoshi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | | | - T. V. Ngoc
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
| | - V. Q. Nguyen
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - K. Niewczas
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Nishimori
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
| | - K. Nishizaki
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - T. Nosek
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Nova
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - P. Novella
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. C. Nugent
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | | | - L. O’Sullivan
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - T. Odagawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - T. Ogawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - R. Okada
- Department of Physics, Okayama University, Okayama, Japan
| | - W. Okinaga
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - K. Okumura
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
| | - T. Okusawa
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - R. A. Owen
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - Y. Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - V. Palladino
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - V. Paolone
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
| | - M. Pari
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - J. Parlone
- Department of Physics, University of Liverpool, Liverpool, UK
| | - S. Parsa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - J. Pasternak
- Department of Physics, Imperial College London, London, UK
| | | | - D. Payne
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. C. Penn
- Department of Physics, University of Liverpool, Liverpool, UK
| | - D. Pershey
- Department of Physics, Duke University, Durham, NC USA
| | - L. Pickering
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - C. Pidcott
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - G. Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - C. Pistillo
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
| | - B. Popov
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- JINR, Dubna, Russia
| | - K. Porwit
- Institute of Physics, University of Silesia, Katowice, Poland
| | | | - Y. S. Prabhu
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Pupilli
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - B. Quilain
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - T. Radermacher
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - E. Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - B. Radics
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. A. Ramírez
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - P. N. Ratoff
- Physics Department, Lancaster University, Lancaster, UK
| | - M. Reh
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Riccio
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - E. Rondio
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Roth
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - N. Roy
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Rubbia
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. C. Ruggeri
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - C. A. Ruggles
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Rychter
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - F. Sánchez
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - G. Santucci
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - C. M. Schloesser
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - K. Scholberg
- Department of Physics, Duke University, Durham, NC USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Scott
- Department of Physics, Imperial College London, London, UK
| | - Y. Seiya
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| | - T. Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - H. Sekiya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - D. Sgalaberna
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. Shaikhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Shaker
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Shaykina
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Shiozawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - W. Shorrock
- Department of Physics, Imperial College London, London, UK
| | - A. Shvartsman
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Skrobova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - D. Smyczek
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - M. Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
| | - J. T. Sobczyk
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - H. Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - F. J. P. Soler
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Y. Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - A. J. Speers
- Physics Department, Lancaster University, Lancaster, UK
| | - R. Spina
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - I. A. Suslov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - S. Suvorov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - S. Y. Suzuki
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Suzuki
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - A. A. Sztuc
- Department of Physics, Imperial College London, London, UK
| | - M. Tada
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Takayasu
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - A. Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Takeuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kobe University, Kobe, Japan
| | - K. Takifuji
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - H. K. Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Tanihara
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - M. Tani
- Department of Physics, Kyoto University, Kyoto, Japan
| | - A. Teklu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | | | - N. Teshima
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Thamm
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - L. F. Thompson
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - W. Toki
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - C. Touramanis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Towstego
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - K. M. Tsui
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Tzanov
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Uchida
- Department of Physics, Imperial College London, London, UK
| | - M. Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - D. Vargas
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - M. Varghese
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. Vilela
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - E. Villa
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | | | - U. Virginet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - T. Wachala
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. G. Walsh
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - Y. Wang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - L. Wan
- Department of Physics, Boston University, Boston, MA USA
| | - D. Wark
- Department of Physics, Oxford University, Oxford, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. O. Wascko
- Department of Physics, Imperial College London, London, UK
| | - A. Weber
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - R. Wendell
- Department of Physics, Kyoto University, Kyoto, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. J. Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. R. Wilson
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - C. Wret
- Department of Physics, Oxford University, Oxford, UK
| | - J. Xia
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - Y.-H. Xu
- Physics Department, Lancaster University, Lancaster, UK
| | - K. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
| | - T. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - C. Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Science Department, BMCC/CUNY, New York, NY USA
| | - G. Yang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - T. Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - K. Yasutome
- Department of Physics, Kyoto University, Kyoto, Japan
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - U. Yevarouskaya
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - M. Yokoyama
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Yoshimoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - N. Yoshimura
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Yu
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - R. Zaki
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Zalewska
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. Zalipska
- National Centre for Nuclear Research, Warsaw, Poland
| | - K. Zaremba
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - G. Zarnecki
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - X. Zhao
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - T. Zhu
- Department of Physics, Imperial College London, London, UK
| | - M. Ziembicki
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - E. D. Zimmerman
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - M. Zito
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Zsoldos
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - T2K Collaboration
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
- Department of Physics, Boston University, Boston, MA USA
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
- Department of Physics, Duke University, Durham, NC USA
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Department of Physics, University of Houston, Houston, TX USA
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
- IFIC (CSIC and University of Valencia), Valencia, Spain
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- Department of Physics, Imperial College London, London, UK
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
- Kobe University, Kobe, Japan
- Department of Physics, Kyoto University, Kyoto, Japan
- Physics Department, Lancaster University, Lancaster, UK
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Department of Physics, University of Liverpool, Liverpool, UK
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
- Department of Physics, Miyagi University of Education, Sendai, Japan
- National Centre for Nuclear Research, Warsaw, Poland
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Department of Physics, Okayama University, Okayama, Japan
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Department of Physics, Oxford University, Oxford, UK
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
- School of Physics and Astronomy, Queen Mary University of London, London, UK
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Institute of Physics, University of Silesia, Katowice, Poland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
- Department of Physics, University of Toronto, Toronto, ON Canada
- TRIUMF, Vancouver, BC Canada
- Faculty of Physics, University of Warsaw, Warsaw, Poland
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
- Department of Physics, University of Warwick, Coventry, UK
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
- Department of Physics, Yokohama National University, Yokohama, Japan
- Department of Physics and Astronomy, York University, Toronto, ON Canada
- Université Paris-Saclay, Gif-sur-Yvette, France
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
- J-PARC, Tokai, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
- IPSA-DRII, Ivry-sur-Seine, France
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
- JINR, Dubna, Russia
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
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Fan F, Cao S, Zhang LM, Chen N, You P, Su L, Wang JY, Zhao XL, Chen GD. [Endoscopic ultrasonographic features of submucosal lesions of upper digestive tract suspected gastrointestinal stromal tumors and their correlation with progression and pathological risk grade of the lesions]. Zhonghua Yi Xue Za Zhi 2023; 103:1643-1648. [PMID: 37248065 DOI: 10.3760/cma.j.cn112137-20230207-00177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: To investigate the endoscopic ultrasonographic (EUS) characteristics of submucosal lesions of upper digestive tract suspected gastrointestinal stromal tumors (GIST) and their correlation with biological behaviors and pathological risk grade of the tumors. Methods: Retrospective cohort study. The EUS findings, follow-up review, surgical treatment and pathological data of patients with suspected GIST at the Gastrointestinal Endoscopy Center of Peking University People's Hospital from January 2013 to April 2021 were collected. All samples were divided into follow-up group and treatment group based on the pathological condition and the patient's treatment intention. According to whether or not the tumor was enlarged in EUS, the follow-up group was divided into non-enlarged group and enlarged group. Paired T-test was used to compare the lesion size before and after follow-up, and logistic regression was used to analyze the risk factors of tumor enlargement. According to the treatment methods, the treatment group was further divided into endoscopic treatment group and surgical treatment group. According to the pathological results and risk grade, the treatment group was further divided into the low-risk group and the medium-risk group. The risk factors of pathological malignant risk were analyzed by logistic regression, and the tumor diameter of patients with moderate or above pathological risk was predicted by receiver operation characteristic (ROC) curve. The relationship between the findings of EUS and the progression and pathological risk of GIST were also explored. Results: Seventy-three cases including 23 males and 50 females, with an age of 58 (30-88) years, were included in the follow-up group, with a mean lesion diameter of (1.21±0.49) cm before follow-up, median follow-up interval of 33.8 months, and a lesion diameter of (1.18±0.49) cm after follow-up. There was no significant difference (all P>0.05) in lesion diameter between before and after follow-up. There was no significant difference (all P>0.05) between tumor enlargement group (18 cases, 24.7%) and non-enlargement group (55 cases, 75.3%). One hundred and thirty-eight cases, including 52 males and 86 females, with an age of 60 (19-84) years, were enrolled in the treatment group, with a mean EUS estimated diameter of (2.55±1.35) cm and pathological diameters of (3.43±2.42) cm. Ninety-five (68.8%) of these cases were pathologically confirmed as GIST while 43 cases were diagnosed as other tumor types, including 37 benign tumors and 6 malignant tumors. In multifactorial logistic regression analysis, only the increase of tumor diameter [OR (95%CI): 1.800 (1.172-2.766), P=0.007] was a risk factor for pathological intermediate or higher risk. The optimal tumor diameter for predicting pathological intermediate or higher risk using ROC curve analysis was 2.75 cm, with a sensitivity 71.4%, specificity 79.0%, Youden index 0.5 and area under ROC curve 0.807 (95%CI: 0.703-0.909). Conclusions: EUS is essential for assessing the risk of progression and malignancy of submucosal lesions of upper digestive tract suspected GIST. For lesions of small diameter, the interval of follow-up shall be relatively extended while the indication of treatment could be partially waived.
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Affiliation(s)
- F Fan
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - S Cao
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - L M Zhang
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - N Chen
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - P You
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - L Su
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - J Y Wang
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - X L Zhao
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
| | - G D Chen
- Department of Gastroenterology, Peking University People's Hospital, Beijing 100044, China
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Jiang Y, Ge W, Zhao Y, Wu Y, Huo Y, Pan L, Cao S. [LINC00926 promotes pyroptosis of hypoxia-induced human umbilical vein vascular endothelial cells by recruiting ELAVL1]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:807-814. [PMID: 37313823 DOI: 10.12122/j.issn.1673-4254.2023.05.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the regulatory role of the long non-coding RNA LINC00926 in pyroptosis of hypoxia-induced human umbilical vein vascular endothelial cells (HUVECs) and explore the molecular mechanism. METHODS HUVECs were transfected with a LINC00926-overexpressing plasmid (OE-LINC00926), a siRNA targeting ELAVL1, or both, followed by exposure to hypoxia (5% O2) or normoxia. The expression of LINC00926 and ELAVL1 in hypoxia-treated HUVECs was detected using real-time quantitative PCR (RT-qPCR) and Western blotting. Cell proliferation was detected using Cell Counting Kit-8 (CCK-8), and the levels of IL-1β in the cell cultures was determined with ELISA. The protein expression levels of pyroptosis-related proteins (caspase-1, cleaved caspase-1 and NLRP3) in the treated cells were analyzed using Western blotting, and the binding between LINC00926 and ELAVL1 was verified with RNA immunoprecipitation (RIP) assay. RESULTS Exposure to hypoxia obviously up-regulated the mRNA expression of LINC00926 and the protein expression of ELAVL1 in HUVECs, but did not affect the mRNA expression of ELAVL1. LINC00926 overexpression in the cells significantly inhibited cell proliferation, increased IL-1β level and enhanced the expressions of pyroptosis-related proteins (all P < 0.05). LINC00926 overexpression further up-regulated the protein expression of ELAVL1 in hypoxia-exposed HUVECs. The results of RIP assay confirmed the binding between LINC00926 and ELAVL1. ELAVL1 knockdown significantly decreased IL-1β level and the expressions of pyroptosis-related proteins in hypoxia-exposed HUVECs (P < 0.05), while LINC00926 overexpression partially reversed the effects of ELAVL1 knockdown. CONCLUSION LINC00926 promotes pyroptosis of hypoxia-induced HUVECs by recruiting ELAVL1.
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Affiliation(s)
- Y Jiang
- Department of Laboratory Medicine, Jilin Medical University, Jilin 132013, China
| | - W Ge
- Department of Laboratory Medicine, Jilin Medical University, Jilin 132013, China
| | - Y Zhao
- Department of Cardiology, Jilin Central Hospital, Jilin 132011, China
| | - Y Wu
- Department of Laboratory Medicine, Jilin Medical University, Jilin 132013, China
| | - Y Huo
- Department of Laboratory Medicine, Jilin Medical University, Jilin 132013, China
| | - L Pan
- Department of Laboratory Medicine, Jilin Medical University, Jilin 132013, China
| | - S Cao
- College of Clinical Medicine, Jilin Medical University, Jilin 132013, China
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Gong G, Cao S, Xiao H, Fang W, Que Y, Liu Z, Chen C. [Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:839-851. [PMID: 37313827 DOI: 10.12122/j.issn.1673-4254.2023.05.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction. METHODS This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T1WI, T2WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques. RESULTS The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI. CONCLUSION The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.
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Affiliation(s)
- G Gong
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - S Cao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - H Xiao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - W Fang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Y Que
- First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Z Liu
- Shunde Hospital Affiliated to Southern Medical University, Foshan 528308, China
| | - C Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
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10
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Jiang N, Qi L, Wang B, Cao S, Wang L, Zou B, Zhang K, Qin N, Duan X. Traffic related activity pattern of Chinese adults: a nation-wide population based survey. J Expo Sci Environ Epidemiol 2023; 33:482-489. [PMID: 36284190 DOI: 10.1038/s41370-022-00469-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND Traffic-related air pollutants lead to increased risks of many diseases. Understanding travel patterns and influencing factors are important for mitigating traffic exposures. However, there is a lack of national large-scale research. OBJECTIVE This study aimed to evaluate the daily travel patterns of Chinese adults and provide basic data for traffic exposure and health risk research. METHODS We conducted the first nation-wide survey of travel patterns of adults (aged 18 and above) in China during 2011-2012. We conducted a cross-sectional study based on a nationally representative sample of 91, 121 adults from 31 provinces in China. We characterized typical travel patterns by cluster analysis and identified the associated factors of each pattern using multiple logistic regression and generalized linear regression models. RESULTS We found 115 typical daily travel patterns of Chinese adults and the top 11 accounted for 94% of the population. The interaction of age, urban and rural areas, income levels, gender, educational levels, city population and temperature affect people's choice of travel patterns. The average travel time of Chinese adults is 45 ± 40 min/day, with the longest travel time by the combination of walking and car (70 min/day). Gender has the largest effect on travel time (B = -8.94, 95% CI: -8.95, -8.93), followed by city GDP (B = -4.23, 95% CI: -4.23, -4.22), urban and rural areas (B = -3.62, 95% CI: -3.63, -3.61), age (B = -2.21, 95% CI: -2.21, -2.2), educational levels (B = -1.53, 95% CI: -1.53, -1.52), city area (B = -1.4, 95% CI: -1.4, -1.39) and temperature (B = 1.21, 95% CI: 1.2, 1.21). SIGNIFICANCE This study was the first nation-wide study on traffic activity patterns in China, which provides basic data for traffic exposure and health risk research and provides the basis for the state to formulate transportation-related policies.
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Affiliation(s)
- Nan Jiang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Ling Qi
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Limin Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bin Zou
- School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
| | - Ning Qin
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
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11
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Ling X, Zhong R, Cao S, Zhang L, Xu J, Zhang B, Zhang X, Wang H, Han B, Zhong H. 45P DCVAC/LuCa with chemotherapy in patients with stage IV, non-squamous NSCLC without EGFR/ALK aberrations: Five-year survival update. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00299-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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12
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Parsons ES, Liu F, Kaushik A, Lee A, Schuetz J, Dunham D, Seastedt H, Ogulur I, Heider A, Tan G, Shah A, Cao S, Smith E, Kost L, Acharya S, Prunicki M, Rothenberg M, Sindher S, Leib R, Akdis CA, Nadeau K, Lejeune S. Detection of gut and mucosal peptides through TOMAHAQ in healthy individuals. Allergy 2023. [PMID: 36872560 DOI: 10.1111/all.15698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/13/2023] [Accepted: 02/28/2023] [Indexed: 03/07/2023]
Affiliation(s)
- E S Parsons
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - F Liu
- Mass Spectrometry Center, Stanford University, Palo Alto, California, USA
| | - A Kaushik
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - A Lee
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - J Schuetz
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - D Dunham
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - H Seastedt
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - I Ogulur
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - A Heider
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - G Tan
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - A Shah
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - S Cao
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - E Smith
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - L Kost
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - S Acharya
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - M Prunicki
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA
| | - M Rothenberg
- Department of Pediatrics, Department of Allergy and Immunology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA
| | - S Sindher
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA.,Division of Pulmonary, Allergy, and Critical Care Medicine, Stanford University, Stanford, California, USA
| | - R Leib
- Mass Spectrometry Center, Stanford University, Palo Alto, California, USA
| | - C A Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - K Nadeau
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA.,Department of Environmental Health Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - S Lejeune
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Palo Alto, California, USA.,INSERM U1019, CNRS UMR 9017, Center for infection and immunity of Lille (CIIL), Univ. Lille, CHU Lille, Institut Pasteur de Lille, Lille, France
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13
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande. Phys Rev Lett 2023; 130:031802. [PMID: 36763398 DOI: 10.1103/physrevlett.130.031802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/30/2022] [Indexed: 06/18/2023]
Abstract
We report a search for cosmic-ray boosted dark matter with protons using the 0.37 megaton×years data collected at Super-Kamiokande experiment during the 1996-2018 period (SKI-IV phase). We searched for an excess of proton recoils above the atmospheric neutrino background from the vicinity of the Galactic Center. No such excess is observed, and limits are calculated for two reference models of dark matter with either a constant interaction cross section or through a scalar mediator. This is the first experimental search for boosted dark matter with hadrons using directional information. The results present the most stringent limits on cosmic-ray boosted dark matter and exclude the dark matter-nucleon elastic scattering cross section between 10^{-33}cm^{2} and 10^{-27}cm^{2} for dark matter mass from 1 MeV/c^{2} to 300 MeV/c^{2}.
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Affiliation(s)
- K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Hayato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Hiraide
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Ieki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kanemura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - R Kaneshima
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kashiwagi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Miki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Mine
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Nakahata
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Nakayama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Noguchi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Okamoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Sato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Sekiya
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H Shiba
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Shimizu
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Shiozawa
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Suzuki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Takemoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Takenaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Watanabe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - T Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Han
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Okumura
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - T Tashiro
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Tomiya
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - X Wang
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - J Xia
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - S Yoshida
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - G D Megias
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - P Fernandez
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - L Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - N Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B Zaldivar
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B W Pointon
- Department of Physics, British Columbia Institute of Technology, Burnaby, British Columbia V5G 3H2, Canada
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - E Kearns
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J L Raaf
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - L Wan
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - T Wester
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - J Bian
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - N J Griskevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - W R Kropp
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - S Locke
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M B Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H W Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - V Takhistov
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Yankelevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - J Hill
- Department of Physics, California State University, Dominguez Hills, Carson, California 90747, USA
| | - R G Park
- Institute for Universe and Elementary Particles, Chonnam National University, Gwangju 61186, Korea
| | - B Bodur
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
| | - K Scholberg
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C W Walter
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - L Bernard
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Coffani
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - O Drapier
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - S El Hedri
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Giampaolo
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - Th A Mueller
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A D Santos
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - P Paganini
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - B Quilain
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - T Ishizuka
- Junior College, Fukuoka Institute of Technology, Fukuoka, Fukuoka 811-0295, Japan
| | - T Nakamura
- Department of Physics, Gifu University, Gifu, Gifu 501-1193, Japan
| | - J S Jang
- GIST College, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea
| | - J G Learned
- Department of Physics and Astronomy, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Choi
- Institute for Basic Science (IBS), Daejeon 34126, Korea
| | - S Cao
- Institute For Interdisciplinary Research in Science and Education, ICISE, Quy Nhon 55121, Vietnam
| | - L H V Anthony
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - D Martin
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - M Scott
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - A A Sztuc
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - Y Uchida
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - V Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - M G Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - E Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - N F Calabria
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - L N Machado
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - F Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Mattiazzi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - L Ludovici
- INFN Sezione di Roma and Università di Roma "La Sapienza," I-00185, Roma, Italy
| | - M Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - G Pronost
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - C Fujisawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Maekawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - M Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - M Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Boschi
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Gao
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - A Goldsack
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - T Katori
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Migenda
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - M Taani
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - S Zsoldos
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kotsar
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - H Ozaki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A T Suzuki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - Y Takeuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C Bronner
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - J Feng
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Kikawa
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - M Mori
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Nakaya
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - R A Wendell
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Yasutome
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - S J Jenkins
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - P Mehta
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - K M Tsui
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - Y Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Miyagi 980-0845, Japan
| | - Y Itow
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - H Menjo
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - K Ninomiya
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - J Lagoda
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - S M Lakshmi
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Mandal
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - P Mijakowski
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - Y S Prabhu
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - J Zalipska
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Jia
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - J Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C K Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M J Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M Harada
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Ishino
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Ito
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Kitagawa
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - Y Koshio
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - F Nakanishi
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Sakai
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - G Barr
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Barrow
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - L Cook
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Samani
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Wark
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington OX11 0QX, United Kingdom
| | - F Nova
- Rutherford Appleton Laboratory, Harwell, Oxford OX11 0QX, United Kingdom
| | - J Y Yang
- Department of Physics, Seoul National University, Seoul 151-742, Korea
| | - M Malek
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - J M McElwee
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - O Stone
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - M D Thiesse
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - L F Thompson
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - H Okazawa
- Department of Informatics in Social Welfare, Shizuoka University of Welfare, Yaizu, Shizuoka 425-8611, Japan
| | - S B Kim
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - J W Seo
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - I Yu
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - A K Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K D Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - S Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K Nishijima
- Department of Physics, Tokai University, Hiratsuka, Kanagawa 259-1292, Japan
| | - K Iwamoto
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - K Nakagiri
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - Y Nakajima
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - N Taniuchi
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - M Yokoyama
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Martens
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - P de Perio
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M R Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Kuze
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - S Izumiyama
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - M Inomoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - H Ito
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Kinoshita
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - R Matsumoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - Y Ommura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - N Shigeta
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Shinoki
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Suganuma
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - K Yamauchi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - J F Martin
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - H A Tanaka
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - T Towstego
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - R Akutsu
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - V Gousy-Leblanc
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - M Hartz
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - A Konaka
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - N W Prouse
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - S Chen
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B D Xu
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B Zhang
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | | | - D Hadley
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M Nicholson
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M O'Flaherty
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - B Richards
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - A Ali
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - B Jamieson
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - Ll Marti
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - A Minamino
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - G Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Sano
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Suzuki
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - K Wada
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
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Cao S, Li S, Duan X, Zhang Y, Gong J, Guo Q, Xu X, Peng L, Meng X. Environmental and Behavioral Factors in Association with Lung Function Impairment in Children Living in Wuhan, China. Int J Environ Res Public Health 2023; 20:1134. [PMID: 36673890 PMCID: PMC9858857 DOI: 10.3390/ijerph20021134] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Children’s lung function is a significant predictor of health status throughout their lifetime. This study aims to identify the prevalence of impaired lung function in children and the potential influencing factors in elementary school children of Wuhan, China. Children of 6−12 years old were enrolled from elementary schools in Wuhan, China, in 2018, on the basis of a cross-sectional study design. Information on personal behavior patterns and household characteristics, as well as parental factors, was collected based on a questionnaire survey. Spirometry was used to measure fifteen lung function indicators. Logistic regression models were used to estimate odds ratios of prevalence of impaired lung function with regard to socioeconomic, personal behavior patterns, household, and parental factors, respectively. Four lung function indicators such as FET and EVC in urban children had higher values than in the suburban children after adjusting for confounders (p < 0.05). A higher prevalence of impaired lung function (FEV6, FEV3, EVC, and VC) was found in the children from the rural area than in those from the urban area. A sex difference in FET impairment was observed, however, no significant difference in impairment in other lung function indicators were found between girls and boys. The elevated height and weight of the children was significantly associated with an increased and decreased prevalence of impaired lung function, respectively, particularly both for FEV6, FEV3, FIVC, and FIV1. Opening windows for a longer time in summer was significantly associated with a lower prevalence of impaired FEF25 and MVV, and an extended time of opening windows in winter was significantly associated with a lower prevalence of impaired FEV6. While, opening windows for a longer time in autumn was significantly associated with higher prevalence of impaired FEV6 and FEV1/VC. Home renovations, doing physical exercise for more than 30 min per day, air pollution exposure during commuting, sleeping in own rooms, height stunting, and preterm birth were significantly associated with an increased risk of impaired lung function. Breastfeeding, having a father with a white-collar profession and with a higher education level were positively associated with the lower prevalence of impaired lung function. Impaired lung function is commonly found in school children in Wuhan, nowadays. Breastfeeding, opening windows long-term in summer and winter, higher socioeconomics, and an urban living environment were protective factors for impaired lung function. However, opening windows long-term and using air conditioning short-term in autumn, as well as home renovations, doing physical exercise for more than 30 min per day, preterm birth, height stunting, and air pollution exposure during commuting were regarded as significant risk factors for impaired lung function. Promoting breastfeeding, lengthening window opening times in winter and summer, and controlling household renovation and air pollution exposure during commuting are recommended to reduce the risk of impaired lung function in children in Wuhan.
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Affiliation(s)
- Suzhen Cao
- Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Sai Li
- Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Xiaoli Duan
- Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Yaqun Zhang
- Gansu Provincial Design and Research Institute of Environmental Science, Lanzhou 730000, China
| | - Jicheng Gong
- College of Environmental Science and Engineering, Peking University, Beijing 100871, China
| | - Qian Guo
- Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Xiangyu Xu
- Chinese Academy of Environmental Planning, Ministry of Ecology and Environment of the People’s Republic of China, Beijing 100043, China
| | - Li Peng
- Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Xin Meng
- College of Environmental Science and Engineering, Peking University, Beijing 100871, China
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15
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Cao S, Zhang YB, Tao XS, Li Y, Xuan T, Yu RZ. Clinical study on the treatment of thoracolumbar fractures with single plane screw percutaneous internal fixation. Eur Rev Med Pharmacol Sci 2022; 26:9187-9194. [PMID: 36591861 DOI: 10.26355/eurrev_202212_30670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE The aim of the study was to investigate the clinical effect of single plane screw percutaneous internal fixation in the treatment of simple thoracolumbar fractures. PATIENTS AND METHODS The subjects of this study were 84 patients with simple thoracolumbar fractures treated in our hospital from January 2018 to December 2020. The patients were grouped by different treatment methods (42 cases in each group). The single plane group was treated by percutaneous single plane screw internal fixation and the universal group was treated with percutaneous universal screw. The surgery completion status and the incidence of complications were recorded. The visual analogue scale (VAS) and the Oswestry Disability Index (ODI) of the two groups were recorded before the surgery, 3 days after the surgery, and 7 days after the surgery. The anterior edge height ratio of the fractured vertebra and the kyphotic Cobb angle were marked before the surgery, immediately after the operation, and at the last follow-up. RESULTS Difference between groups in surgery time, blood loss and hospital stay was not statistically significant (p>0.05); the single plane group had a substantially lower incidence of complications than the universal group (p<0.05). At the last follow-up, the single plane group had greatly higher anterior edge height ratio of the injured vertebra than the universal group, while kyphotic Cobb angle was greatly higher in the universal group (p<0.05). CONCLUSIONS Both single plane screw and universal screw percutaneous internal fixation were feasible for the treatment of simple thoracolumbar fractures, but single plane screw showed better vertebral height recovery and kyphosis correction effect, which could reduce postoperative correction loss.
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Affiliation(s)
- S Cao
- Department of Spine Surgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui Province, China.
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16
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Guo Q, Zhang K, Wang B, Cao S, Xue T, Zhang Q, Tian H, Fu P, Zhang JJ, Duan X. Chemical constituents of ambient fine particulate matter and obesity among school-aged children: A representative national study in China. Sci Total Environ 2022; 849:157742. [PMID: 35917963 DOI: 10.1016/j.scitotenv.2022.157742] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 07/06/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Studies show that fine particulate matter (PM2.5) contributes to childhood obesity. However, evidence on the effects of its constituents on obesity has not been explored. METHODS Using multistage stratified cluster sampling, we enrolled 41,439 school-age children (aged 6-17 years) from a representative nationwide survey of 30 provinces in China (mean age ± standard deviation: 12.0 ± 3.3 years). Weight and height were measured using a physician beam scale with a height rod, and covariates were determined using a standard questionnaire. The concentration of PM2.5 chemical constituents was estimated by a chemical transport (GEOS-Chem) model using input satellite data and ground-based observations. The constituents included black carbon, ammonium, nitrate, organic matter, sulfate, and soil dust. Generalized linear models were used to estimate the association between the chemical constituents of PM2.5 and obesity. RESULTS A positive association between the constituents of PM2.5 and obesity were observed. Children were more susceptible to black carbon than other species. A 1-μg/m3 increase in black carbon led to a 0.079 (95 % confidence interval [CI]:0.028, 0.130)-kg/m2 increase in body mass index (BMI). This also increased the odds of being obese and overweight to 1.174 (95 % CI: 1.111, 1.240) and 1.165 (95 % CI: 1.116, 1.216), respectively. Stratified analyses showed that the effects were stronger in girls and older children, as well as in urban and Northeast regions. The effect of the PM2.5 constituents on obese and overweight children from urban areas significantly interacted with that of rural areas. CONCLUSIONS The PM2.5 constituents were associated with an increased BMI and childhood obesity. Further studies are warranted to validate these results and clarify their potential mechanisms. We suggest focusing on black carbon and Northeast regions.
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Affiliation(s)
- Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
| | - Qian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Peng Fu
- Center for Environment, Energy, and Economy, Harrisburg University, Harrisburg PA17101, USA
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
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Hao Y, Zhu G, Yu L, Ren Z, Zhang P, Zhu J, Cao S. Extracellular vesicles derived from mesenchymal stem cells confer protection against intervertebral disc degeneration through a microRNA-217-dependent mechanism. Osteoarthritis Cartilage 2022; 30:1455-1467. [PMID: 36041665 DOI: 10.1016/j.joca.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 08/12/2022] [Accepted: 08/14/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Extracellular vesicles released by mesenchymal stem cells (MSC-EVs) can be applied to alleviate intervertebral disc degeneration (IVDD) by curbing apoptosis of nucleus pulposus cells (NPCs). The current study aims to evaluate the effect of MSC-EVs on NPC apoptosis and IVDD and the related regulatory mechanisms involving microRNA (miR)-217. METHOD Expression of miR-217 was examined in tumor necrosis factor-α (TNF-α)-induced NPCs and MSC-EVs, followed by identification in the relationship between miR-217, enhancer of zeste homolog 2 (EZH2) and forkhead box O-3 (FOXO3). After isolation of EVs from MSCs and subsequent co-culture with NPCs, we assessed effects of miR-217 on NPC viability, autophagy, senescence and apoptosis along with extracellular matrix (ECM) degradation. Further in vivo experiments were conducted in rat models of IVDD to substantiate the effect of miR-217 on IVDD. RESULTS Poor miR-217 expression was found in TNF-α-induced NPCs, while high miR-217 expression was identified in MSC-EVs (P < 0.05). MSC-EVs transferred miR-217 to NPCs and increased its expression, thus attenuating NPC apoptosis and ECM degradation (elevated collagen II and aggrecan but reduced MMP13 and ADAMTS5) (P < 0.05). miR-217 targeted EZH2, and EZH2 bound to the FOXO3 promoter and consequently downregulated its expression. FOXO3 restrained NPC apoptosis and ECM degradation by stimulating cell autophagy (P < 0.05). Furthermore, in vivo experimental results confirmed the suppressive role of miR-217 shuttled by MSC-EVs in IVDD. CONCLUSION Overall, the delivery of miR-217 may be a novel mechanism underlying the effect of MSC-EVs on NPC apoptosis and ECM degradation following IVDD.
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Affiliation(s)
- Y Hao
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China.
| | - G Zhu
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
| | - L Yu
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
| | - Z Ren
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
| | - P Zhang
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
| | - J Zhu
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
| | - S Cao
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, PR China
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Li S, Wang G, Wang B, Cao S, Zhang K, Duan X, Wu W. Has the Risk of Outpatient Visits for Allergic Rhinitis, Related to Short-Term Exposure to Air Pollution, Changed over the Past Years in Beijing, China? Int J Environ Res Public Health 2022; 19:12529. [PMID: 36231829 PMCID: PMC9566797 DOI: 10.3390/ijerph191912529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/20/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
A number of studies have found associations between the short-term exposure to ambient air pollution and hospital admissions. However, little is known about the temporal variations in ambient air pollution associated with health exposure, especially in China. We evaluated whether the risks of allergic rhinitis (AR) outpatient visits from short-term exposure to air pollution varied over time (2014-2020) in Beijing, China. A quasi-Poisson generalized additive model was used to evaluate the relative risks (RRs) and 95% confidence intervals (CIs) associated with the pollutant concentrations during the entire study period and three specific periods. We also analyzed the temporal variations of the period-specific associations and tested the trend of change using the Mann-Kendall test. The concentration-response relationships for the specific periods were further investigated. The RRs (95%CI) for an interquartile range (IQR) increased in PM10 (70 μg/m3) and CO (0.5 mg/m3) decreased from period 1 to period 3. However, The RRs (95%CI) of PM2.5 (55 μg/m3), SO2 (7 μg/m3) and NO2 (27 μg/m3) increased from 1.015 (0.978, 1.054), 1.027 (1.009, 1.044) and 1.086 (1.037, 1.137) in period 1 to 1.069 (1.005, 1.135), 1.074 (1.003, 1.149) and 1.214 (1.149, 1.282) in period 3, respectively. A statistically significant temporal change and the stable effects were observed between the NO2 exposure and AR visits over time. Despite a substantial reduction in ambient air pollution, the short-term effects on AR outpatient visits remained significant. Our findings provide a rationale for continued air pollution control efforts in the future to minimize air pollution and to protect the public.
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Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Gang Wang
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing 100101, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Rensselaer, NY 12144-2345, USA
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Wei Wu
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing 100101, China
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Absil G, Boufflette N, Cao S, Collins P, Dezfoulian B, Nikkels AF. [Mucinous nevus]. Rev Med Liege 2022; 77:549-550. [PMID: 36226389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Mucinous nevus is an exceptional entity and presents as flesh-colored to brownish papules or plaques, coalescing to form a pigmentary or verrucous lesion with either a blaschkoid, linear, grouped or zosteriform disposition. It usually appears at birth or during early childhood, but late onset has also been described. Mucinous nevus does not require additional work-up as no internal pathologies have been described. Abstention of any therapeutic intervention is usually preferred.
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Affiliation(s)
- G Absil
- Service de Dermatologie, CHU Liège, Belgique
| | | | - S Cao
- Service de Dermatologie, CHR de la Citadelle, Liège, Belgique
| | - P Collins
- Service de Dermatopathologie, CHU Liège, Belgique
| | | | - A F Nikkels
- Service de Dermatologie, CHU Liège, Belgique
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20
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Ran Z, Ding W, Cao S, Fang L, Zhou J, Zhang Y. Arbuscular mycorrhizal fungi: Effects on secondary metabolite accumulation of traditional Chinese medicines. Plant Biol (Stuttg) 2022; 24:932-938. [PMID: 35733285 DOI: 10.1111/plb.13449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/27/2021] [Indexed: 06/15/2023]
Abstract
Traditional Chinese medicine (TCM) has played a pivotal role in maintaining the health of people, and the intrinsic quality of TCM is directly related to the clinical efficacy. The medicinal ingredients of TCM are derived from the secondary metabolites of plant metabolism and are also the result of the coordination of various physiological activities in plants. Arbuscular mycorrhizal fungi (AMF) are among the most ubiquitous plant mutualists that enhance the growth and yield of plants by facilitating the uptake of nutrients and water. Symbiosis of AMF with higher plants promotes growth and helps in the accumulation of secondary metabolites. However, there is still no systematic analysis and summation of their roles in the application of TCM, biosynthesis and accumulation of active substances of herbs, as well as the mechanisms. AMF directly or indirectly affect the accumulation of secondary metabolites of TCM, which is the focus of this review. First, in this review, the effects of AMF symbiosis on the content of different secondary metabolites in TCM, such as phenolic acids, flavonoids, alkaloids and terpenoids, are summarized. Moreover, the mechanism of AMF regulating the synthesis of secondary metabolites was also considered, in combination with the establishment of mycorrhizal symbionts, response mechanisms of plant hormones, nutritional elements and expression of key enzyme their activities. Finally, combined with the current application prospects for AMF in TCM, future in-depth research is planned, thus providing a reference for improving the quality of TCM. In this manuscript, we review the research status of AMF in promoting the accumulation of secondary metabolites in TCM to provide new ideas and methods for improving the quality of TCM.
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Affiliation(s)
- Z Ran
- School of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan, China
- School of Biological Science and Technology, University of Jinan, Jinan, China
| | - W Ding
- School of Biological Science and Technology, University of Jinan, Jinan, China
| | - S Cao
- School of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - L Fang
- School of Biological Science and Technology, University of Jinan, Jinan, China
| | - J Zhou
- School of Biological Science and Technology, University of Jinan, Jinan, China
| | - Y Zhang
- School of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan, China
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21
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Cao S, Cao Q, Shao K, Kang Y, Liang W, Zhang L, Wang J, Qin N, Duan X. Health risk assessment of As due to rice ingestion based on iAs distribution and actual consumption patterns for the residents in Beijing: a cross-sectional study. Environ Geochem Health 2022; 44:2515-2529. [PMID: 34291375 DOI: 10.1007/s10653-021-00892-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 03/14/2021] [Indexed: 06/13/2023]
Abstract
As a well-known human carcinogen, arsenic (As) could pose various detrimental health effects to humans mainly through the exposure pathway of food ingestion. In comparison with other foods, rice can accumulate more arsenic due to its tissue specificity. Thus, it is of great significance to assess the health risk of As due to rice ingestion. However, the study on risk assessment from exposure to As in rice is still in an early stage and lack accuracy to date. In this study, after obtaining the rice exposure behavior patterns based on a questionnaire survey, a total of 160 rice samples, which consisted of 4 types (i.e., japonica, indica, glutinous and brown rice), rice from 4 areas and consumed by most of the population in Beijing, were collected. On the basis of the actual intake rate and the species weighted average concentration of consumed rice, average daily exposure dose and health risks of inorganic As (iAs) from rice ingestion were assessed for the population among different genders and ages in Beijing. The results show that japonica rice and rice from Northeast China had higher As content, with the same value of 0.064 mg kg-1. And, they were the most popular rice consumed by people, with the intake rates of 75.50 g d-1, and 67.91 g d-1, respectively. The proportion of iAs to total As (tAs) was 58.34%, with a range of 43.18-71.88%. The average daily dose of iAs for the population was 1.15 × 10-4, which mainly came from japonica rice and the rice from Northeast China ingestion. In comparison with the acceptable non-cancer risk, which had a HQ value of 0.38, the carcinogenic risk of the population in Beijing was 1.73 × 10-4 on average. Furthermore, males had higher carcinogenic risk (1.88 × 10-4) than females (1.62 × 10-4), and the people in the age of 45-55 suffered from the highest carcinogenic risk (2.22 × 10-4), which mainly was attributed to the japonica rice and the rice from Northeast China. This study strengthened that appropriate dietary patterns should be paid more attention in order to control the health risk due to As exposure.
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Affiliation(s)
- Suzhen Cao
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Qi Cao
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Kan Shao
- Department of Environmental and Occupational Health, Indiana University School of Public Health - Bloomington, Bloomington, IN, 47405, USA
| | - Yijin Kang
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Weigang Liang
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Linlin Zhang
- China National Environmental Monitoring Center, Beijing, 100012, People's Republic of China
| | - Juan Wang
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Ning Qin
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China
| | - Xiaoli Duan
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
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22
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Wang JJ, Feng Y, Cao S, Shi YX, Yang XJ, Li CT. [Skin chondroma of neck in children: report of a case]. Zhonghua Bing Li Xue Za Zhi 2022; 51:570-572. [PMID: 35673737 DOI: 10.3760/cma.j.cn112151-20211124-00858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- J J Wang
- Department of Pathology and Pathophysiology, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Y Feng
- Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - S Cao
- Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Y X Shi
- Department of Pathology and Pathophysiology, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - X J Yang
- Department of Pathology and Pathophysiology, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - C T Li
- Department of Pathology and Pathophysiology, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China
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Cao S, Song R, Meng X, Kachler K, Fuchs M, Meng X, Li Y, Taudte V, Kunz M, Schloetzer-Schrehardt U, Schleicher U, Chen X, Schett G, Bozec A. OP0076 L-ARGININE REPROGRAMS OSTEOCLAST PURINE METABOLISM AMELIORATING BONE LOSS IN RHEUMATOID ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundBone erosion is a clinical feature of rheumatoid arthritis related to disease severity and poor functional prognosis. Excessive osteoclast differentiation and insufficient osteoblast function are the main reasons for the erosive process in RA. Our previous investigation indicated that L-arginine supplementation not only diminished arthritic inflammation in the serum-induced arthritis (K/BxN) model but also decreased inflammatory joints osteoclast numbers (1).ObjectivesIn the present study, we aim to investigate the metabolic action of L-arginine supplementation in RA, especially on periarticular bone erosion and systemic bone loss. We plan to depict the metabolic features of TNFα induced inflammatory osteoclasts after in vitro L-arginine supplementation.MethodsThree murine arthritis models (serum-induced arthritis (K/BxN) model, collagen-induced arthritis model, and hTNFtg mice model) were analysed in this study. L-arginine was supplemented within the drinking water after the onset of arthritis. Bone parameters for axial skeleton (spine) and peripheral skeleton (tibia) from the respective group were quantified by μCT. HE and TRAP staining were performed to address further the erosion area and osteoclast numbers in periarticular sites. In vitro osteoclast differentiation was conducted with or without L-arginine treatment, in the presence or not of TNFα activation. Seahorse and SCENITH analyses were adopted to delineate the metabolic features. JC-1 staining and transmission electron microscopy (TEM) were used to depict the mitochondria metabolism. RNA-seq and mass spectrometry (MS) were performed to investigate the underlying molecular mechanism.ResultsInflammation was diminished in all three arthritis models after L-arginine supplementation with a significant reduction in arthritic score. Moreover, an amelioration of periarticular bone erosion, systemic bone loss, and decreased osteoclast numbers in periarticular sites were observed in arthritic mice after L-arginine treatment. L-arginine also inhibited osteoclastogenesis in vitro, particularly under TNFα activation. Seahorse and SCENITH analyses indicated TNFα promoted glycolysis while blocking mitochondria-driven oxidative phosphorylations (OXPHOS) in pre-osteoclasts. Meanwhile, JC-1 staining and TEM images also showed that TNFα decreased mitochondria membrane potential and prompted damage of mitochondria. Surprisingly, L-arginine rescued the TNFα inhibition of OXPHOS while promoting ATP production.RNA-seq and MS data confirmed the boost of OXPHOS after L-arginine treatment under TNFα activation. To interfere with OXPHOS, L-arginine inhibited cJun thus altered arginase-1 and arginase-2 expression. Moreover, the increased ATP in L-arginine treated cells facilitated purine metabolism, especially the production of inosine and hypoxanthine, contributing to the inhibition of osteoclastogenesis. Increasing Adenosine deaminase (ADA) is essential for the production of inosine and hypoxanthine due to the decreased inhibitory regulation of the transcription factor c-Jun.ConclusionThese data strongly demonstrated that L-arginine ameliorates bone erosion in RA through metabolic reprogramming and perturbation of purine metabolism in osteoclasts. L-arginine might therefore benefit RA therapy by reducing joint inflammation and also ameliorating bone destruction.References[1]Hannemann, Nicole, et al. “Transcription factor Fra-1 targets arginase-1 to enhance macrophage-mediated inflammation in arthritis.” The Journal of clinical investigation 129.7 (2019): 2669-2684.Disclosure of InterestsShan Cao: None declared, Rui Song: None declared, Xianyi Meng: None declared, Katerina Kachler: None declared, Maximilian Fuchs: None declared, Xinyu Meng: None declared, Yixuan Li: None declared, Verena Taudte: None declared, Meik Kunz: None declared, Ursula Schloetzer-Schrehardt: None declared, Ulrike Schleicher: None declared, Xiaoxiang Chen Speakers bureau: AbbVie, Roche and Novartis, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB, Aline Bozec: None declared.
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Lyu P, Wen J, Stolzer I, Giessl A, Song R, Meng X, Cao S, Günther C, Schett G, Bozec A. POS0409 INTESTINAL HIF1α EXPRESSION PROTECTS AGAINST EPITHELIAL CELL DEATH IN ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundWhile a so-called gut-joint axis is supported by many clinical observations, the current knowledge on such axis is mostly confined to descriptive and correlative data, e.g. showing the microbiota changes are associated with arthritis. In contrast, mechanistic data on how molecular changes in the intestinal epithelium influence the development of arthritis are scarce.ObjectivesTo investigate, whether the mucosal barrier in the intestine dependent of the epithelial cell survival maintenance, influences the development of arthritis.MethodsIntestinal hypoxia inducible factor (HIF)-1α expression was assessed before, at onset and during experimental arthritis and human rheumatoid arthritis (RA). Intestinal epithelial cell-specific HIF1α conditional knock-out mice were generated (HIF1αΔIEC) and subjected to collagen-induced arthritis (CIA). Clinical and histological courses of arthritis were recorded, and T and B cell subsets were analyzed in the gut and secondary lymphatic organs, and intestinal epithelial cells were subjected to molecular mRNA sequencing in HIF1αΔIEC and littermate control mice. Furthermore, pharmacologic HIF1α stabilization by PHD inhibitor was used for the treatment of arthritis.ResultsIntestinal HIF1α expression peaked at onset and remained high in experimental arthritis and RA. Conditionally deletion of HIF1α in gut epithelial cells strongly exacerbate arthritis and was associated with increased gut epithelial cell death, intestinal and lymphatic Th1 and Th17 activation. Mechanistically, HIF1α inhibits the transcription of necroptotic and apoptotic markers, which leads to a defect in the intestinal barrier integrity. Furthermore, treatment with HIF1α stabilization reinforced the gut epithelial cell survival and inhibited arthritis.ConclusionThese findings show that the HIF1α regulating epithelial cells survival is critical for the breakdown of the intestinal barrier function in arthritis highlighting the functional link between intestinal homeostasis and arthritis.Disclosure of InterestsNone declared.
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Zheng X, Chen Z, Wu X, LI X, Xie Y, Wu J, Xiao M, Cao S, Wei Q, Zhu W, Rao Y, Chen Q, Wen Y, Gu J. POS1002 DIAGNOSTIC DELAY AND ITS ASSOCIATED FACTORS IN CHINESE AXIAL SPONDYLOARTHRITIS: A RETROSPECTIVE STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundFew data on the prolonged diagnosis and its associated factors in Chinese axial spondyloarthritis (axSpA) is available.ObjectivesTo delineate the landscape of diagnostic delay in Chinese axSpA, investigate its associated factors and explore its potential impact on medication modalities.MethodsA total of 1,295 patients fulfilling the ASAS classification criteria were obtained. Demographic and clinical data were collected through predesigned questionnaires and available medical records. Logistic regression analyses in univariate and multivariable model were performed, using the median of diagnostic delay as cut-off point for group classification. Differences between early and late diagnosed group were subsequently compared by the Pearson chi-square test or Mann-Whitney U test.ResultsThe median (IQR) diagnostic delay in Chinese axSpA was 3.0 (1.0~7.0) years and 24.8% of them reported a history of misdiagnosis. Older age at onset (OR=0.97, P<0.001) and higher education attainment (P=0.001) were correlated with early diagnosis of axSpA, whereas coming from less developed areas (P=0.002), a history of peripheral arthritis at the time of diagnosis (OR=1.58, P=0.002) and history of misdiagnosis (OR=1.98, P<0.001) increased the risk of diagnostic delay. Medication modalities were similar between two groups, but the proportion with no medication ever and percentage without regular medication in recent 3 months were higher in the late diagnosed group than early group (26.5% vs. 20.7%, P=0.02; 34.7% vs. 28.6%, P=0.02).ConclusionOur findings depicted a detailed spectrum of diagnostic delay in Chinese axSpA, verified five associated factors and pinpointed a remarkable treatment delay even after diagnosis, especially in late diagnosis group.References[1]Masson Behar V, Dougados M, Etcheto A, Kreis S, Fabre S, Hudry C, et al. Diagnostic delay in axial spondyloarthritis: A cross-sectional study of 432 patients. Joint bone spine. 2017;84(4):467-71.Figure 1.Cumulative distribution of age at onset and age at diagnosis in Chinese axSpA(A) the entire group. (B) stratified by early and late diagnosed group. (C) stratified by education level (college, middle school, secondary school). (D) stratified by history of peripheral arthritis when diagnosed. (E) stratified by history of misdiagnoses when diagnosed. (F) stratified by native place, as statistical significance was found between eastern coastal and western China, only these two groups were presented.Disclosure of InterestsNone declared
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Guo Q, Xue T, Wang B, Cao S, Wang L, Zhang JJ, Duan X. Effects of physical activity intensity on adulthood obesity as a function of long-term exposure to ambient PM 2.5: Observations from a Chinese nationwide representative sample. Sci Total Environ 2022; 823:153417. [PMID: 35093342 DOI: 10.1016/j.scitotenv.2022.153417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/09/2022] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
Long-term exposure to PM2.5 has been associated with increased obesity risk, while physical activity (PA) is a suggested protective factor. This raises a dilemma whether the increased dose of PM2.5 due to PA-intensified ventilation would offset the benefits of PA. Using a national representative sample, we aim to (1) ascertain inclusive findings of the association between PA and obesity, and (2) examine whether PM2.5 exposure modifies the PA-obesity relationship. We recruited 91,121 Chinese adults from 31 provinces using a multi-stage stratified-clustering random sampling method. PM2.5 was estimated using a validated machine learning method with a spatial resolution of 0.1° × 0.1°. PA intensity was calculated as metabolic equivalent (MET)-hour/week by summing all activities. Body weight, height, and waist circumference (WC) were measured after overnight fasting. Obesity-related traits included continuous outcomes (Body mass index [BMI], WC, and waist-to-height ratio (WHtR)) and binomial outcomes (general obesity, abdominal obesity, and WHtR obesity). Generalized linear regression models were used to estimate the interaction effects between PM2.5 and PA on obesity, controlling for covariates. The results indicated that each IQR increase in PA was associated with 0.078 (95% CI: -0.096 to -0.061) kg/m2, 0.342 (-0.389 to -0.294) cm, and 0.0022 (-0.0025 to -0.0019) decrease in BMI, WC, and WHtR, respectively. The joint association showed that benefits of PA on obesity were attenuated as PM2.5 increased. Risk of abdominal obesity decreased 11.3% (OR = 0.887, 95% CI: 0.866, 0.908) per IQR increase in PA among the low-PM2.5 (≤55.9 μg/m3) exposure group, but only 5.5% (OR = 0.945, 95% CI: 0.930, 0.960) among the high-PM2.5 (>55.9 μg/m3) exposure group. We concluded the increase in PA intensity was significantly associated with lower risk of obesity in adults living across mainland China, where annual level of PM2.5 were mostly exceeding the standard. Reducing PM2.5 exposure would enhance the PA benefits as a risk reduction strategy.
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Affiliation(s)
- Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health, Ministry of Health Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
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Li S, Cao S, Duan X, Zhang Y, Gong J, Xu X, Guo Q, Meng X, Zhang J. Household mold exposure in association with childhood asthma and allergic rhinitis in a northwestern city and a southern city of China. J Thorac Dis 2022; 14:1725-1737. [PMID: 35693617 PMCID: PMC9186254 DOI: 10.21037/jtd-21-1380] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 05/11/2022] [Indexed: 11/26/2022]
Abstract
Background The prevalence of asthma and allergic diseases has increased rapidly in Chinese cities over the past decades. Few studies have examined the potential role of household mold in asthma and allergies in Chinese cities. Methods A cross-sectional survey in 4,691 school-age children was performed in Lanzhou and Wuhan. The two cities represent distinct climate conditions, as Lanzhou, located in northwestern China, has dry and cold winter and relatively cool summer whereas Wuhan, located in central-southern China, has hot and humid summer and mild winter temperatures. Two schools were randomly selected from a suburb and an urban area of each city, respectively. Data were collected using a modified Chinese version of the American Thoracic Society (ATS) standard respiratory health questionnaire for children, regarding asthma, substance allergy, allergic rhinitis, presence of mold in residence, and household characteristics. Logistic regression models were applied to identify the odds ratios of childhood asthma and allergies with regard to mold. Results The prevalence rates of asthma, substance allergy, allergic rhinitis, and mold, were all higher in Wuhan than in Lanzhou. We observed significant associations of household mold with increased prevalence for both asthma [odds ratio (OR) =2.399, 95% confidence interval (95% CI): 1.309–4.398], substance allergy (OR =1.729, 95% CI: 1.282–2.332) and allergic rhinitis (OR =1.969, 95% CI: 1.491–2.600), with spatial heterogeneity across urban versus suburban schools. The mold effect was modified by age group and breast-feeding status. Conclusions Across two climatically distinct cities, household mold exposure was significantly associated with an increased risk for asthma and allergies. Younger children and children from the suburbs were more likely to be affected by mold. Whether breastfeeding enhanced or weakened the mold effects were inconsistent across the cities and across the health outcomes.
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Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yaqun Zhang
- Gansu Provincial Design and Research Institute of Environmental Science, Lanzhou, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing, China
| | - Xiangyu Xu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing, China
| | - Junfeng Zhang
- Duke Kunshan University, Kunshan, China
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA
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Li S, Wu W, Wang G, Zhang X, Guo Q, Wang B, Cao S, Yan M, Pan X, Xue T, Gong J, Duan X. Association between exposure to air pollution and risk of allergic rhinitis: A systematic review and meta-analysis. Environ Res 2022; 205:112472. [PMID: 34863689 DOI: 10.1016/j.envres.2021.112472] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/15/2021] [Accepted: 11/29/2021] [Indexed: 05/22/2023]
Abstract
BACKGROUND Allergic rhinitis (AR) is one of the most common allergic diseases in the world, and usually persists throughout the activity. Epidemiological studies have shown a positive association between air pollution and allergic rhinitis. However, we could not find any meta-analysis of the risk of air pollutants (PM2.5, PM10, NO2, SO2, O3 and CO) on the prevalence of AR in people of all ages. OBJECTIVES Carry out a meta-analysis on the results of recent studies (up to 2020) to present valid information about exposure to air pollution and risk of prevalence of AR. METHODS We systematically searched three databases for studies up to December 17, 2020, including air pollution and AR. Random effect models were conducted to estimate the pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). Subgroup analysis, funnel plot, Egger's test, and the trim-and-fill method were also conducted. RESULTS Thirty-five studies across 12 countries, including a total of 453,470 participants, were included. The OR per 10 μg/m3 increase of pollutants was 1.13 (1.04-1.22) for PM10 and 1.12 (1.05-1.20) for PM2.5. The OR per 10 μg/m3 increment of gaseous pollutants were 1.13 (1.07-1.20) for NO2, 1.13 (1.04-1.22) for SO2 and 1.07 (1.01-1.12) for O3. No significant association was observed between CO and AR. Children or adolescents are more sensitive to air pollution than adults. The effects of PM10 and SO2 were significantly stronger in Europe than Asia. The effects of air pollutants were more significant and higher in developing countries than in developed countries, except for PM10. A significant difference of subgroup test was found between developed and developing countries of NO2. CONCLUSION This meta-analysis showed a positive association between air pollution and the prevalence of allergic rhinitis, and identified geographic area and economic level as the potential modifiers for the association.
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Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Wei Wu
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing, 100101, China
| | - Gang Wang
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing, 100101, China
| | - Xinyi Zhang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Meilin Yan
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, 100871, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100871, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
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Cao S, Zhong H. 73P A novel nomogram for predicting hyperprogressive disease after immune checkpoint inhibitor treatment in lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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30
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Cao S, Zhong H, Zhou Y. 180P Schwann cells promotes tumour progression in small cell lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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31
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Gao F, Guo Q, Wang B, Cao S, Qin N, Zhao L, Jia C, Duan X. Distributions and determinants of time spent outdoors among school-age children in China. J Expo Sci Environ Epidemiol 2022; 32:223-231. [PMID: 34980893 DOI: 10.1038/s41370-021-00401-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 10/26/2021] [Accepted: 10/28/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND The outdoor time is a key factor that determines children's exposure to environmental contaminants. Meanwhile, children reap numerous physical and mental health benefits from playing outdoors. OBJECTIVE This study aimed to characterize the distributions and identify determinants of the time spent outdoors among school-age children in China. METHODS The study recruited 41,439 children aged 6-17 years in Mainland China using a multi-stage cluster random sampling method. This sample was nationally representative with sample weights created to account for the complex survey design. Information on time-activity patterns were collected with a standard questionnaire through face-to-face interviews. Frequency distributions of time outdoors were created by age group, gender, region, and other sociodemographic factors with sample weights. The key factors influencing time outdoors were identified using multivariable linear regression models. RESULTS The grand mean (±standard deviation) time outdoors was 101 ± 51 min/day for all the study participants, 22.3% having <60 min/day. Children spent longer time outdoors in warm seasons and on weekends. Children's outdoor time was significantly influenced by gender, age, urbanicity, region, annual total household expenditure, building environment, and meteorological conditions (annual mean temperature, sunshine time, and precipitation). Girls, 15-17 year old, and urban children had 6 min/day, 8 min/day, and 13 min/day less outdoor time than boys, 6-8 year old, and rural children, respectively. Most significantly, urban girls and high school students had the shortest outdoor time. The cement ground was the most important type of ground for children playing outside. SIGNIFICANCE This was the first national-scale study that characterized the time outdoors and where is it spent among school-age children in China. It revealed that one-fifth of Chinese children spent less than one hour outdoors every day, and urban girls had particular "indoor tendencies". The findings provide bases for future interventions and guidelines aimed at promoting children's physical activities.
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Affiliation(s)
- Fei Gao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Ning Qin
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Liyun Zhao
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Chunrong Jia
- School of Public Health, University of Memphis, Memphis, TN, USA.
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
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Liu Z, Cao S, Chen Q, Fu F, Cheng M, Huang X. [MicroRNA-132 promotes atherosclerosis by inducing mitochondrial oxidative stressmediated ferroptosis]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:143-149. [PMID: 35249882 DOI: 10.12122/j.issn.1673-4254.2022.01.18] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the expression of microRNA-132 (miR-132) and its potential role in the development of atherosclerosis (AS). METHODS Thirty AS samples and 30 samples of normal peripheral vessels were collected from atherosclerotic patients undergoing peripheral angiostomy in our hospital for detecting the expression level of miR-132 using RT-qPCR. The expression of miR-132 in human umbilical vein endothelial cells (HUVEC) was up-regulated by liposome transfection, and intracellular reactive oxygen species (ROS), localization relationship between ROS and mitochondria, functional changes of mitochondrial reactive oxygen superoxide species (mtROS), mitochondrial membrane potential (MMP) and opening of mitochondrial permeability transition pore (mPTP) were analyzed by flow cytometry and laser confocal microscopy. The activity of mitochondrial redox respiratory chain complex (type I, II, III, IV and V) in HUVECs was detected using ELISA, and the expression levels of key iron death proteins were detected with Western blotting. RESULTS RT-qPCR results showed that miR-132 was significantly up-regulated in atherosclerotic plaques compared with normal vascular samples (P < 0.001). Compared with control HUVECs, HUVECs overexpressing miR-132 showed a significantly increased level of intracellular ROS (P < 0.001), and most of ROS was colocalized with mitochondria. HUVECs overexpressing miR-132 also showed significantly decreased MMP (P < 0.001) and obviously increased mtROS (P < 0.001) and opening of mPTP (P < 0.001), which led to mitochondrial REDOX respiratory chain stress disorder. The key iron death protein GPX4 was significantly down-regulated and the oxidized protein NOX4 was significantly increased in miR-132-overexpressing HUVECs (P < 0.001). CONCLUSION MiR-132 promotes atherosclerosis by inducing mitochondrial oxidative stress-mediated ferroptosis, which may serve as a promising therapeutic target for AS.
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Affiliation(s)
- Z Liu
- Dermatology Hospital of Southern Medical University, Guangzhou 510030, China
| | - S Cao
- Department of Thoracic Surgery, Southern Medical University, Guangzhou 510515, China
| | - Q Chen
- Department of Vascular Surgery, Third Affiliated Hospital of Southern Medical University, Guangzhou 510665, China
| | - F Fu
- Department of Vascular Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - M Cheng
- Zengcheng Branch of Nanfang Hospital, Southern Medical University, Guangzhou 511300, China
| | - X Huang
- Department of Vascular Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Wang B, Gao F, Qin N, Duan X, Li Y, Cao S. A comprehensive analysis on source-distribution-bioaccumulation-exposure risk of metal(loid)s in various vegetables in peri-urban areas of Shenzhen, China. Environ Pollut 2022; 293:118613. [PMID: 34861329 DOI: 10.1016/j.envpol.2021.118613] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/22/2021] [Accepted: 11/29/2021] [Indexed: 06/13/2023]
Abstract
The health risk induced by metal(loid)s in crops are becoming increasingly serious. In this study, eight major vegetables and rhizosphere soils were collected in a peri-urban area with intense electronic information manufacturing activities. The source, distribution and bioaccumulation of six typical metal(loid)s in different vegetable species were analyzed, and exposure risk through vegetable ingestion was estimated. Results showed that vegetables and agricultural soils in the study area suffered from serious metal(loid)s pollution, especially for Cd and Pb. The bioaccumulation capacity differed greatly among individual metal(loid)s and vegetable categories. In general, the highest transfer factors (TF) for Cd, Pb, and As were found in leafy vegetables, while leguminous vegetables had the highest TF of Cu and Zn and root vegetables had the highest TF for Cr. Significant correlations were found between concentrations in vegetables and rhizosphere soils for most metal(loid)s, the exceptions being Pb and Zn. The enrichment of Pb, Cd, Cr and As was mainly attributed to electronic information manufacturing activities, while the enrichment of Zn, Cu and Cd was associated with the application of commercial fertilizers and pesticides. The health risk associated with vegetable intake decreased in the order of leafy > fruit > leguminous > root vegetables. Leafy vegetables were identified as the category with the highest risk, with the mean risk value of 1.26. Cd was the major risk element for leafy vegetables. The non-carcinogenic risks estimated for leguminous and root vegetables were under the acceptable level. In conclusion, special attention should be paid to the health risks of toxic metal(loid)s in leafy vegetables in peri-urban areas with intense electronic information manufacturing activities. In order to minimize health risk, it is necessary to identify low-risk crops based on a comprehensive consideration of the metal(loid)s' pollution characteristics, transfer factors and local people's consumption behaviors.
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Affiliation(s)
- Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Fei Gao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Ning Qin
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
| | - Yujie Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
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Cao S, Wen D, Chen X, Duan X, Zhang L, Wang B, Qin N, Wei F. Source identification of pollution and health risks to metals in household indoor and outdoor dust: A cross-sectional study in a typical mining town, China. Environ Pollut 2022; 293:118551. [PMID: 34813887 DOI: 10.1016/j.envpol.2021.118551] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/22/2021] [Accepted: 11/17/2021] [Indexed: 05/28/2023]
Abstract
Dust is regarded as an important pathway of heavy metal(loid)s to the human body. Health risks posed by metal(loid)s from household dust are of particular concern. However, the contamination and sources of heavy metal(loid)s in household dust environments, as well as source identification of health risks related to heavy metal(loid)s from household dust for vulnerable populations such as children, have not been thoroughly studied in China, particularly for the areas involved with industrial activities such as ore mining. Thus, a cross-sectional study was conducted in a rural area famous for Pb/Zn ore mining, to assess the pollution sources and health risks of heavy metal(loid)s from household indoor and outdoor dust and to identify the contribution of household dust to the health risks for children. The results indicated that household environment was heavily contaminated by metal(loid)s, which were mainly attributed to mining activity. Meanwhile, the indoor/outdoor ratio and the redundancy analysis indicated that there were other pollution sources in indoor environments such as coal combustion, materials for interior building and decoration. Vapor inhalation was the main exposure pathway for Hg, while ingestion was the predominant pathway for other metal(loid)s. Although the cancer risks were relatively low, the HIt from household indoor and outdoor dust (2.19) was about twice the acceptable limit (1) and was primarily from Pb (64.52%) and As (23.42%). Outdoor dust was a larger contributor to the HI of Sb, As, Cr, Cd, Zn and Pb, which accounted for 51.37%, 58.63%, 52.14%, 59.66%, 52.87% and 64.47%, respectively, and the HIt was mainly from outdoor dust (60.76%). These results indicated that non-cancer health risks were largely from outdoor dust exposure, and strengthened the notion that concern should be given to the potential health risks from metal(loid)s in household dust both originating from mining activity and indoor environmental sources.
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Affiliation(s)
- Suzhen Cao
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China
| | - Dongsen Wen
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China
| | - Xing Chen
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Linlin Zhang
- China National Environmental Monitoring Center, Beijing, 100012, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China
| | - Ning Qin
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, China
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, 100012, China
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Zhang Y, Zhao B, Jiang Y, Xing J, Sahu SK, Zheng H, Ding D, Cao S, Han L, Yan C, Duan X, Hu J, Wang S, Hao J. Non-negligible contributions to human health from increased household air pollution exposure during the COVID-19 lockdown in China. Environ Int 2022; 158:106918. [PMID: 34649048 PMCID: PMC8502102 DOI: 10.1016/j.envint.2021.106918] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 09/23/2021] [Accepted: 10/03/2021] [Indexed: 05/09/2023]
Abstract
BACKGROUND Ambient and household air pollution are found to lead to premature deaths from all-cause or cause-specific death. The national lockdown measures in China during COVID-19 were found to lead to abrupt changes in ambient surface air quality, but indoor air quality changes were neglected. In this study, we aim to investigate the impacts of lockdown measures on both ambient and household air pollution as well as the short-term health effects of air pollution changes. METHODS In this study, an up-to-date emission inventory from January to March 2020 in China was developed based on air quality observations in combination with emission-concentration response functions derived from chemical transport modeling. These emission inventories, together with the emissions data from 2017 to 2019, were fed into the state-of-the-art regional chemistry transport model to simulate the air quality in the North China Plain. A hypothetical scenario assuming no lockdown effects in 2020 was also performed to determine the effects of the lockdown on air quality in 2020. A difference-to-difference approach was adopted to isolate the effects on air quality due to meteorological conditions and long-term decreasing emission trends by comparing the PM2.5 changes during lockdown to those before lockdown in 2020 and in previous years (2017-2019). The short-term premature mortality changes from both ambient and household PM2.5 changes were quantified based on two recent epidemiological studies, with uncertainty of urban and rural population migration considerations. FINDINGS The national lockdown measures during COVID-19 led to a reduction of 5.1 µg m-3 in ambient PM2.5 across the North China Plain (NCP) from January 25th to March 5th compared with the hypothetical simulation with no lockdown measures. However, a difference-to-difference method showed that the daily domain average PM2.5 in the NCP decreased by 9.7 µg m-3 between lockdown periods before lockdown in 2020, while it decreased by 7.9 µg m-3 during the same periods for the previous three-year average from 2017 to 2019, demonstrating that lockdown measures may only have caused a 1.8 µg m-3 decrease in the NCP. We then found that the integrated population-weighted PM2.5, including both ambient and indoor PM2.5 exposure, increased by 5.1 µg m-3 during the lockdown periods compared to the hypothetical scenario, leading to additional premature deaths of 609 (95% CI: 415-775) to 2,860 (95% CI: 1,436-4,273) in the short term, depending on the relative risk chosen from the epidemiological studies. INTERPRETATION Our study indicates that lockdown measures in China led to abrupt reductions in ambient PM2.5 concentration but also led to significant increases in indoor PM2.5 exposure due to confined indoor activities and increased usages of household fuel for cooking and heating. We estimated that hundreds of premature deaths were added as a combination of decreased ambient PM2.5 and increased household PM2.5. Our findings suggest that the reduction in ambient PM2.5 was negated by increased exposure to household air pollution, resulting in an overall increase in integrated population weighted exposure. Although lockdown measures were instrumental in reducing the exposure to pollution concentration in cities, rural areas bore the brunt, mainly due to the use of dirty solid fuels, increased population density due to the large-scale migration of people from urban to rural areas during the Chinese New Year and long exposure time to HAP due to restrictions in outdoor movement.
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Affiliation(s)
- Yuqiang Zhang
- Nicholas School of the Environment, Duke University, Durham, NC 27710, U.S.A
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yueqi Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jia Xing
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Shovan K Sahu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Dian Ding
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Suzhen Cao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Licong Han
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Cong Yan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Jingnan Hu
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; National Joint Research Center for Tracking Key Problems in Air Pollution Control, Beijing 100012, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Jiming Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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Zhong R, Ling X, Cao S, Xu J, Zhang B, Zhang X, Wang H, Han B, Zhong H. Safety and efficacy of dendritic cell-based immunotherapy (DCVAC/LuCa) combined with carboplatin/pemetrexed for patients with advanced non-squamous non-small-cell lung cancer without oncogenic drivers. ESMO Open 2021; 7:100334. [PMID: 34959168 PMCID: PMC8718955 DOI: 10.1016/j.esmoop.2021.100334] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/28/2021] [Accepted: 11/15/2021] [Indexed: 12/25/2022] Open
Abstract
Background Our prospective, open-label, single-arm phase II study investigated the safety and efficacy of DCVAC/LuCa (dendritic cell vaccines for lung cancer) combined with standard carboplatin/pemetrexed in advanced non-squamous (nsq) non-small-cell lung cancer (NSCLC). Patients and methods Eligible patients had stage IV nsq NSCLC without oncogenic drivers and had not received prior systemic cancer therapy. Treatment consisted of carboplatin/pemetrexed for up to 6 cycles followed by 21 cycles of pemetrexed maintenance or until progression or intolerance. Non-progression patients after two cycles of chemotherapy started to receive DCVAC/LuCa subcutaneously (s.c.) on day 15 of cycle 3, and thereafter q3w (day 15 of chemotherapy cycles) for up to 15 doses. Dosing of DCVAC/LuCa s.c. varied among patients depending on the baseline number of leucocytes but remained constant for each single patient. Safety was assessed by adverse events (AEs), treatment-related adverse events (TRAEs), serious adverse events (SAEs), and adverse events of special interest (AESIs). Efficacy was measured by overall survival (OS), progression-free survival (PFS), time to progression (TTP), and objective response rate (ORR). Results Sixty-one patients were enrolled. In the safety population (n = 60), eight patients (13.33%) had grade 3 or greater TRAEs, and six patients (10.0%) showed SAEs which were not related to leukapheresis or DC vaccination. Six grade 1 AEs were considered to be related to leukapheresis. No AESIs or DCVAC/LuCa-induced AEs were observed. The 2-year survival rate in the modified intention-to-treat population (n = 44) was 52.57%. Median OS was not reached. Median PFS was 8.0 months, median TTP was 10.2 months, and the ORR was 31.82%. Conclusion In treatment-naïve stage IV nsq NSCLC patients without oncogenic drivers, the combination of carboplatin/pemetrexed and DCVAC/LuCa was well tolerated and showed promising efficacy. Therefore, a study to prove our immunotherapeutic concept in a randomized phase III trial is planned. We investigated the safety and efficacy of DCVAC/LuCa combined with standard carboplatin/pemetrexed in nsq NSCLC. The combination therapy showed a favorable tolerability profile in a selected Chinese population. The 2-year survival rate in the modified intention-to-treat population (n = 44) was 52.57%.
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Affiliation(s)
- R Zhong
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - X Ling
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - S Cao
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - J Xu
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - B Zhang
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - X Zhang
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - H Wang
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - B Han
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
| | - H Zhong
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
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Abe K, Bronner C, Hayato Y, Hiraide K, Ikeda M, Imaizumi S, Kameda J, Kanemura Y, Kataoka Y, Miki S, Miura M, Moriyama S, Nagao Y, Nakahata M, Nakayama S, Okada T, Okamoto K, Orii A, Pronost G, Sekiya H, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Xia J, Megias G, Bravo-Berguño D, Labarga L, Marti L, Zaldivar B, Pointon B, Blaszczyk F, Kearns E, Raaf J, Stone J, Wan L, Wester T, Bian J, Griskevich N, Kropp W, Locke S, Mine S, Smy M, Sobel H, Takhistov V, Hill J, Kim J, Lim I, Park R, Bodur B, Scholberg K, Walter C, Cao S, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Gonin M, Mueller T, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang J, Learned J, Anthony L, Martin D, Scott M, Sztuc A, Uchida Y, Berardi V, Catanesi M, Radicioni E, Calabria N, Machado L, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ospina N, Ludovici L, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Kotsar Y, Nakano Y, Ozaki H, Shiozawa T, Suzuki A, Takeuchi Y, Yamamoto S, Ali A, Ashida Y, Feng J, Hirota S, Kikawa T, Mori M, Nakaya T, Wendell R, Yasutome K, Fernandez P, McCauley N, Mehta P, Tsui K, Fukuda Y, Itow Y, Menjo H, Niwa T, Sato K, Tsukada M, Lagoda J, Lakshmi S, Mijakowski P, Zalipska J, Jiang J, Jung C, Vilela C, Wilking M, Yanagisawa C, Hagiwara K, Harada M, Horai T, Ishino H, Ito S, Kitagawa H, Koshio Y, Ma W, Piplani N, Sakai S, Barr G, Barrow D, Cook L, Goldsack A, Samani S, Wark D, Nova F, Boschi T, Di Lodovico F, Gao J, Migenda J, Taani M, Zsoldos S, Yang J, Jenkins S, Malek M, McElwee J, Stone O, Thiesse M, Thompson L, Okazawa H, Kim S, Seo J, Yu I, Nishijima K, Koshiba M, Iwamoto K, Nakagiri K, Nakajima Y, Ogawa N, Yokoyama M, Martens K, Vagins M, Kuze M, Izumiyama S, Yoshida T, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ohta K, Shinoki M, Suganuma T, Ichikawa A, Nakamura K, Martin J, Tanaka H, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, de Perio P, Prouse N, Chen S, Xu B, Zhang Y, Posiadala-Zezula M, Hadley D, O’Flaherty M, Richards B, Jamieson B, Walker J, Minamino A, Okamoto K, Pintaudi G, Sano S, Sasaki R. Diffuse supernova neutrino background search at Super-Kamiokande. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.122002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Xu X, Qin N, Qi L, Zou B, Cao S, Zhang K, Yang Z, Liu Y, Zhang Y, Duan X. Development of season-dependent land use regression models to estimate BC and PM 1 exposure. Sci Total Environ 2021; 793:148540. [PMID: 34171802 DOI: 10.1016/j.scitotenv.2021.148540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 06/11/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
Reliable estimation of exposure to black carbon (BC) and sub-micrometer particles (PM1) within a city is challenging because of limited monitoring data as well as the lack of models suitable for assessing the intra-urban environment. In this study, to estimate exposure levels in the inner-city area, we developed land use regression (LUR) models for BC and PM1 based on specially designed mobile monitoring surveys conducted in 2019 and 2020 for three seasons. The daytime and nighttime LUR models were developed separately to capture additional details on the variation in pollutants. The results of mobile monitoring indicated similar temporal variation characteristics of BC and PM1. The mean concentrations of pollutants were higher in winter (BC: 4.72 μg/m3; PM1: 56.97 μg/m3) than in fall (BC: 3.74 μg/m3; PM1: 33.29 μg/m3) and summer (BC: 2.77 μg/m3; PM1: 27.04 μg/m3). For both BC and PM1, higher nighttime concentrations were found in winter and fall, whereas higher daytime concentrations were observed in the summer. A supervised forward stepwise regression method was used to select the predictors for the LUR models. The adjusted R2 of the LUR models for BC and PM1 ranged from 0.39 to 0.66 and 0.45 to 0.80, respectively. Traffic-related predictors were incorporated into all the models for BC. In contrast, more meteorology-related predictors were incorporated into the PM1 models. The concentration surface based on the LUR models was mapped at a spatial resolution of 100 m, and significant seasonal and diurnal trends were observed. PM1 was dominated by seasonal variations, whereas BC showed more spatial variation. In conclusion, the development of season-dependent diurnal LUR models based on mobile monitoring could provide a methodology for the estimation of exposure and screening of influencing factors of BC and PM1 in typical inner-city environments, and support pollution management.
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Affiliation(s)
- Xiangyu Xu
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China
| | - Ning Qin
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China
| | - Ling Qi
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China
| | - Bin Zou
- School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA
| | - Zhenchun Yang
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu Province 215316, China
| | - Yunwei Liu
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China
| | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
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Fernandes A, Gupta S, Cao S, Maysel-Auslender S, Dunham D, Lyu S, Sindher S, Manohar M, Maecker H, Nadeau K. P032 STUDIES ON CASHEW AND SHRIMP-ORAL IMMUNOTHERAPY-INDUCED CHANGES IN ALLERGEN-REACTIVE CD4+ T CELLS. Ann Allergy Asthma Immunol 2021. [DOI: 10.1016/j.anai.2021.08.077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zou T, Cao S, Liu W, Li L, Jiang J, Wu L. Is simple reaction time or choice reaction time an indicator of all-cause mortality or CVD mortality? Public Health 2021; 199:34-41. [PMID: 34534888 DOI: 10.1016/j.puhe.2021.07.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 05/20/2021] [Accepted: 07/30/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Simple reaction time (SRT) and choice reaction time (CRT) have been shown to be good indicators for quantitatively assessing the level of human cognitive impairment, but these parameters have also been linked to the risk of human death. This study aimed to quantitatively assess the independent predictive value of SRT or CRT for all-cause mortality or cardiovascular disease (CVD) mortality by conducting a meta-analysis of prospective studies. STUDY DESIGN The study design of this study is a prospective cohort study. METHODS We conducted a meta-analysis by combining hazard ratios (HRs) and 95% confidence intervals (95% CIs) of SRT or CRT with all-cause mortality or CVD mortality in healthy community residents aged 18 and over. Heterogeneity was evaluated by using Q statistics and Cochrane's I2 statistics. RESULTS A total of seven prospective studies that examined all-cause mortality and CVD mortality were included. The pooled HR of all-cause mortality in SRT was 1.099 (1.065-1.134, I2 = 11.9%), and an increased risk of CVD mortality was associated with lower SRT (HR = 1.186, 95% CI = 1.137-1.236; I2 = 52.4%). Similarly, the pooled HR of all-cause mortality in CRT was 1.140 (95% CI = 1.085-1.197, I2 = 33.7%). However, lower CRT was not statistically associated with an increased risk of CVD mortality. CONCLUSION SRT may be a predictor of all-cause-mortality and CVD mortality, and CRT is significantly associated with an increased risk of all-cause mortality.
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Affiliation(s)
- T Zou
- School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, 461 BaYi St, Nanchang, 330006, PR China; Department of Health, Jiangxi Maternal and Child Health Hospital, 318 BaYi St, Nanchang, 330006, PR China
| | - S Cao
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou, Gansu Province, 730000, PR China
| | - W Liu
- School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, 461 BaYi St, Nanchang, 330006, PR China.
| | - L Li
- School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, 461 BaYi St, Nanchang, 330006, PR China
| | - J Jiang
- New York University, 6 Metro Tech Center, Brooklyn, NY 11201, USA
| | - L Wu
- School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, 461 BaYi St, Nanchang, 330006, PR China.
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Hu N, Wang C, Liao Y, Dai Q, Cao S. Smoking and incidence of insomnia: a systematic review and meta-analysis of cohort studies. Public Health 2021; 198:324-331. [PMID: 34507139 DOI: 10.1016/j.puhe.2021.07.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/28/2021] [Accepted: 07/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE This study investigated the impact of smoking on the incidence of insomnia. STUDY DESIGN Systematic review and meta-analysis of cohort studies. METHODS PubMed, EMBASE, Web of Science, Cochrane Library, and OVID were searched through March 2020. Cohort studies reporting the effect of smoking on the incidence of insomnia were included. We quantitatively analyzed the basic framework and study characteristics and then pooled estimate effects with 95% confidence intervals (CIs) of outcomes of each included study using fixed-effects meta-analyses. RESULTS This systematic review included six cohort studies involving 12,445 participants. Quantitatively summarized results suggested that smoking could significantly increase the incidence of insomnia (odds ratio [OR]: 1.07, 95% CI: 1.02, 1.13). Regular smoking was significantly associated with the incidence of insomnia (OR = 1.07, 95% CI: 1.01, 1.13). As for occasional smokers and ex-smokers, the pooled analysis did not indicate a significant association (occasional smoker: OR = 2.09, 95% CI: 0.44, 9.95; ex-smoker; OR = 1.02, 95% CI: 0.67, 1.54). Subgroup analysis by age, gender ratio, and region showed a statistically significant relationship between smoking and the incidence of insomnia in specific groups. CONCLUSIONS Integrated longitudinal observational evidence identified smoking as a significant risk factor of insomnia. Considering the limited amount of available studies, more high-quality and prospective cohort studies of large sample sizes are needed to explore details of this association.
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Affiliation(s)
- N Hu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - C Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Y Liao
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Q Dai
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - S Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Taavitsainen S, Engedal N, Cao S, Handle F, Erickson A, Prekovic S, Wetterskog D, Tolonen T, Vuorinen EM, Kiviaho A, Nätkin R, Häkkinen T, Devlies W, Henttinen S, Kaarijärvi R, Lahnalampi M, Kaljunen H, Nowakowska K, Syvälä H, Bläuer M, Cremaschi P, Claessens F, Visakorpi T, Tammela TLJ, Murtola T, Granberg KJ, Lamb AD, Ketola K, Mills IG, Attard G, Wang W, Nykter M, Urbanucci A. Single-cell ATAC and RNA sequencing reveal pre-existing and persistent cells associated with prostate cancer relapse. Nat Commun 2021; 12:5307. [PMID: 34489465 PMCID: PMC8421417 DOI: 10.1038/s41467-021-25624-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/23/2021] [Indexed: 02/08/2023] Open
Abstract
Prostate cancer is heterogeneous and patients would benefit from methods that stratify those who are likely to respond to systemic therapy. Here, we employ single-cell assays for transposase-accessible chromatin (ATAC) and RNA sequencing in models of early treatment response and resistance to enzalutamide. In doing so, we identify pre-existing and treatment-persistent cell subpopulations that possess regenerative potential when subjected to treatment. We find distinct chromatin landscapes associated with enzalutamide treatment and resistance that are linked to alternative transcriptional programs. Transcriptional profiles characteristic of persistent cells are able to stratify the treatment response of patients. Ultimately, we show that defining changes in chromatin and gene expression in single-cell populations from pre-clinical models can reveal as yet unrecognized molecular predictors of treatment response. This suggests that the application of single-cell methods with high analytical resolution in pre-clinical models may powerfully inform clinical decision-making.
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Affiliation(s)
- S Taavitsainen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - N Engedal
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - S Cao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Handle
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Urology, Division of Experimental Urology, Medical University of Innsbruck, Innsbruck, Austria
| | - A Erickson
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - S Prekovic
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - D Wetterskog
- University College London Cancer Institute, London, UK
| | - T Tolonen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
- Department of Pathology, Fimlab Laboratories, Tampere University Hospital, Tampere, Finland
| | - E M Vuorinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - A Kiviaho
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - R Nätkin
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - T Häkkinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - W Devlies
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Urology, UZ Leuven, Leuven, Belgium
| | - S Henttinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - R Kaarijärvi
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - M Lahnalampi
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - H Kaljunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - K Nowakowska
- University College London Cancer Institute, London, UK
| | - H Syvälä
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - M Bläuer
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - P Cremaschi
- University College London Cancer Institute, London, UK
| | - F Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - T Visakorpi
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
- Fimlab Laboratories, Ltd, Tampere University Hospital, Tampere, Finland
| | - T L J Tammela
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - T Murtola
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - K J Granberg
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - A D Lamb
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Urology, Churchill Hospital Cancer Centre, Oxford, UK
| | - K Ketola
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - I G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Patrick G Johnston Centre for Cancer Research, Queen's University of Belfast, Belfast, UK
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - G Attard
- University College London Cancer Institute, London, UK
| | - W Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M Nykter
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland.
| | - A Urbanucci
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
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Li M, Zhang Y, Liang X, Lou F, Cao S, Wang H. 108P A comprehensive pan-cancer study of fusions in Chinese cancer patients. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Xie Q, Yang T, Wang H, Lou F, Ding F, Zhou T, Cao S, Hu B. 1807P Pan-cancer analysis of SMARCA4 genomic alterations to reveal a complex molecular landscape. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Meng X, Cao S, Li S, Yan M, Guo Q, Gong J, Liu Q, Zhang JJ, Duan X. Household environmental factors and children's respiratory health: comparison of two cross-sectional studies over 25 years in Wuhan, China. J Thorac Dis 2021; 13:4589-4600. [PMID: 34422384 PMCID: PMC8339747 DOI: 10.21037/jtd-20-2170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 04/05/2021] [Indexed: 11/24/2022]
Abstract
Background Over the recent decades, residential lifestyle and household environment have changed substantially with rapid development of industrialization and urbanization in China. Whether the prevalence of respiratory diseases changed is still lack of evidence. The objective of this study is to assess potential changes in children’s respiratory disease prevalence and associated household environmental factors in Wuhan over a 25-year time interval. Methods Two cross-sectional studies in the Period 1 (1993 to 1996) and Period 2 (2017 to 2018) were compared in this research. Elementary school children in period 1 (N=2,517) and in period 2 (N=3,152) were recruited in Wuhan, China. The respiratory health condition, home environmental factors, and family socioeconomic status of each subject were acquired through questionnaire survey using the same protocols in both periods. We used the Chi-square test to analyze the difference of household environmental factors (focused on three indoor air quality determinants) and children’s respiratory health condition between two periods. Logistic regression models were used to assess the impacts of household environmental determinants on children’s respiratory diseases and symptoms between the two studies, by adjusting a set of covariates. Results The three indoor air quality determinants have reduced substantially in prevalence from period 1 to period 2: environment tobacco smoke (ETS) from 86.6% to 45.9%, household coal use from 47.6% to 4.9%, and kitchen smoke from 58.9% to 7.3%. The prevalence of certain respiratory symptoms in children significantly decreased, such as cough with colds (51.1% to 41.6%) and phlegm with colds (22.3% to 17.7%). The prevalence of asthma was 2.5% and 2.4% and that of bronchitis was 27.1% and 29.8% in both periods. Coal use was a risk factor for asthma in period 1 (OR =2.34, 95% CI: 1.30–4.23), while it was not significantly associated with prevalence of asthma in period 2 (OR =0.60, 95% CI: 0.08–4.51). Conclusions Household indoor air quality determinants and respiratory health condition of children in Wuhan has been improved over the last 25 years. At present, kitchen smoke is an important factor affecting the prevalence of wheeze whatever child has a cold or not and reducing exposure to ETS could be beneficial to protect children to be less likely to develop bronchitis.
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Affiliation(s)
- Xin Meng
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China.,Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Meilin Yan
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qin Liu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Junfeng Jim Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, China
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Li S, Cao S, Duan X, Zhang Y, Gong J, Xu X, Guo Q, Meng X, Bertrand M, Zhang JJ. Children's lung function in relation to changes in socioeconomic, nutritional, and household factors over 20 years in Lanzhou. J Thorac Dis 2021; 13:4574-4588. [PMID: 34422383 PMCID: PMC8339784 DOI: 10.21037/jtd-20-2232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 04/15/2021] [Indexed: 11/15/2022]
Abstract
Background Lanzhou has experienced rapid urbanization, leading to changes in socioeconomic, nutritional, and household factors. These changes may affect children’s lung function. Methods Two cross-sectional studies of school-age children (6–13 years of age) from the urban (Chengguan) (Period 1 in 1996 with n=390; Period 2 in 2017 with n=192) and the suburban (Xigu) (Period 1 n=344; Period 2 n=492) district were conducted. Demographic information, household factors, and nutrition status were obtained via a questionnaire survey. Forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1) were measured in each period. Student’s t-test analysis of variance was used to assess the differences in FVC and FEV1 between Periods 1 and 2. Generalized linear models were used to analyze the associations between questionnaire derived factors and lung function. Analyses were done separately for girls and boys. Results Children had significantly lower mean FEV1 and FVC measures in Period 2 than in Period 1. This reduction was greater in children living in the urban area than those living in the suburban area. Obese children had significantly lower lung function but this was only statistically significant in Period 1. Conclusions Children’s lung function (FVC and FEV1) were lower in 2017 than in 1996. Rapid urbanization may have contributed to the decline of lung function. Obesity may be a risk factor for impaired lung function in children living in Lanzhou and possibly elsewhere.
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Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yaqun Zhang
- Gansu Provincial Design and Research Institute of Environmental Science, Lanzhou, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Xiangyu Xu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Mcswain Bertrand
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Junfeng Jim Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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47
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Yan M, Gong J, Liu Q, Li W, Duan X, Cao S, Li S, He L, Yin Z, Lin W, Zhang JJ. The effects of indoor and outdoor air pollution on the prevalence of adults' respiratory diseases in four Chinese cities: a comparison between 2017-2018 and 1993-1996. J Thorac Dis 2021; 13:4560-4573. [PMID: 34422382 PMCID: PMC8339734 DOI: 10.21037/jtd-20-2121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 04/25/2021] [Indexed: 11/24/2022]
Abstract
Background Over the past decades, both ambient and household air pollution have changed in several aspects, including the emission sources and the concentrations of pollutants, in many Chinese cities. It is unknown whether these changes are associated with changes in health conditions, especially given changes in other factors due to rapid economic growth. Methods Two cross-sectional surveys were conducted in two periods spanning more than twenty years (1993–1996 vs. 2017–2018) in four Chinese cities of Chongqing, Wuhan, Lanzhou, and Guangzhou. Data were collected regarding adults’ respiratory disease, smoking status, education, occupation, and household characteristics. Ambient air pollution data were obtained for each study. We first used logistic regression models to construct the district-specific adjusted disease prevalences. In the second stage, first-difference regression models were employed to examine whether the change in respiratory diseases prevalences was associated with the change in outdoor air pollution and indoor air pollution surrogates. Results A total of 7,557 and 9,974 households were participating in Period 1 (1993–1996) and Period 2 (2017–2018), respectively. Compared to Period 1, we found substantial reductions in the ambient air pollution concentrations, and a suggestive improvement in cooking-related indoor air pollution in Period 2. We observed decreases in the district-specific covariate-adjusted prevalences of both asthma and chronic bronchitis among participants, with an average reduction of 3.6% (range: 0.0% to 24.3%). From Period 1 to Period 2, one percent decrease in the proportion of cooking with coal was associated with a 19.0% (95% CI, 0.96–37.04%) decrease in the prevalence of males’ chronic bronchitis and a 1.86% (0.69–3.04%) increase in the prevalence of females’ asthma. Little evidence was observed regarding the potential health benefits associated with the decreases in ambient air pollution levels. Conclusions The substantial reduction in household use of coal for cooking might be an important contributor to the decrease in adults’ respiratory disease prevalence from 1993–1996 to 2017–2019 in four Chinese cities. Changes in this indoor air pollution source, along with other risk factors for respiratory diseases, may have masked respiratory health benefits associated with reductions in outdoor air pollution levels.
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Affiliation(s)
- Meilin Yan
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qin Liu
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, China
| | - Wenyan Li
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Lingyan He
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Zixuan Yin
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Weiwei Lin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Junfeng Jim Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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48
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Cao S, Wen D, Li S, Guo Q, Duan X, Gong J, Xu X, Meng X, Qin N, Wang B, Zhang JJ. Changes in children's lung function over two decades in relation to socioeconomic, parental and household factors in Wuhan, China. J Thorac Dis 2021; 13:4601-4613. [PMID: 34422385 PMCID: PMC8339758 DOI: 10.21037/jtd-21-158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 06/03/2021] [Indexed: 11/06/2022]
Abstract
Background It is important to identify risk and beneficial factors for children's lung function. This study aims to ascertain potential changes in children's lung function in relation to changes in socioeconomic, parental and household factors, based on a comparison between two periods spanning 25 years in Wuhan, the largest metropolis in central China. Methods In two cross-sectional studies, lung function measurements and questionnaire surveys were conducted on school-age children in 1993-1996 (Period I) and in 2018 (Period II). Children of 6-12 years old from elementary schools were selected by a multistage sampling method. Demographic information, socioeconomic status, feeding methods, parental illness and behavior patterns, as well as household characteristics, were collected through a questionnaire survey. Spirometric lung function was measured, including forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), forced expiratory flow at 25% and 75% of the pulmonary volume (FEF25-75), and peak expiratory flow (PEF). Wilcoxon analysis of variances was used to assess the differences in lung function indexes between Period I and Period II. Multiple linear regression models were used to estimate the association of lung function with regard to socioeconomic, parental and household factors, respectively. Results Significant prevalence reductions were observed for household coal use, paternal smoking and maternal asthma, while the prevalence increased significantly for children sleeping in their own rooms or own beds and breastfeeding, ventilation use during cooking, and parental education level from Period I to Period II. When adjusted for age, height, weight, sex and other factors assessed in the study, children had significant lower values of FVC, FEV1, and PEF in Period II than in Period I. Enclosed kitchen was significantly associated with lower lung function in children in Period I. Urban living condition and higher maternal education level were each associated with a higher FVC, while father having no fixed income was associated with a lower FVC and a lower FEV1, respectively, in Period II. In comparison with Period I, the beneficial impact of urban living and that of breastfeeding were enhanced and the detrimental effect of poor household condition was weakened in Period II. Conclusions Lung function was lower in 2018 than in 1993-1996 in school-age children living in Wuhan. Although improvements in urban living and household environmental conditions as well as increased breastfeeding in Period II could have contributed to increased lung function, other unmeasured risk factors may have played a more dominant role in leading to a net decrease in lung function from Period I to Period II. Future studies are needed to identify these risk factors.
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Affiliation(s)
- Suzhen Cao
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Dongsen Wen
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Qian Guo
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Xiangyu Xu
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Ning Qin
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Beibei Wang
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Global Health Research Center, Duke Kunshan University, Kunshan, China.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Shen L, Qian B, Xiao J, Zhu Y, Hussain S, Deng J, Peng G, Zuo Z, Zou L, Yu S, Ma X, Zhong Z, Ren Z, Wang Y, Liu H, Zhou Z, Cai D, Hu Y, Zong X, Cao S. Characterization of serum adiponectin and leptin in healthy perinatal dairy cows or cows with ketosis, and their effectson ketosis involved indices. Pol J Vet Sci 2021; 23:373-381. [PMID: 33006850 DOI: 10.24425/pjvs.2020.134681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We investigated changes in concentrations of ADP (adiponectin), LEP (leptin), BHBA (beta-hydroxybutyric acid), NEFA (non-esterified fatty acid), Glucose (Glu) and INS (insulin) in serum of healthy perinatal dairy cows and cows with ketosis. Twenty-one healthy cows and seventeen cows with ketosis from a herd of a total 60 Holstein cows (near dry period i.e. 56 days antepartum) were selected. Blood was collected through the tail vein every 7 days, from 56 day antepartum to 56 day postpartum. Serum ADP, LEP, BHBA, NEFA, Glu, and INS concentrations were determined, and ketosis was diagnosed through serum BHBA (≥1.2 mmol/L). We showed the concentration of serum adipokines and energy balancing indices were stable during antepar- tum period. However, ADP concentration increased while LEP decreased, and there were a significant increase in cows with ketosis compared to that of in healthy cows. Serum BHBA and NEFA concentrations increased significantly at first, and then gradually decreased in both healthy cows and cows with ketosis. However, cows with ketosis showed higher concentrations of BHBA and NEFA which restored later. The serum concentration of Glu in both healthy dairy cows and cows with ketosis showed a decreasing trend. INS concentration in healthy cows was decreased while it was increased in cows with ketosis. The results reflect the extent of hypo- glycemia and lipid mobilization postpartum, suggest IR exists in cows with ketosis while serum ADP and LEP might play roles in the development of ketosis.
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Affiliation(s)
- L Shen
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - B Qian
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Xiao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Zhu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Hussain
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Deng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - G Peng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zuo
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - L Zou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Yu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Ma
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhong
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Ren
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Wang
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - H Liu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - D Cai
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Hu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Zong
- Sichuan Agricultural University - Chengdu Campus, Academic Affairs Office, Chengdu, Sichuan, 611130, China
| | - S Cao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
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Cao S, Guo Q, Xue T, Wang B, Wang L, Duan X, Zhang JJ. Long-term exposure to ambient PM 2.5 increase obesity risk in Chinese adults: A cross-sectional study based on a nationwide survey in China. Sci Total Environ 2021; 778:145812. [PMID: 33721648 DOI: 10.1016/j.scitotenv.2021.145812] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/07/2021] [Accepted: 02/08/2021] [Indexed: 05/17/2023]
Abstract
Certain studies suggest that air pollution could be a risk factor for obesity, but the evidence on the association between air pollution exposure and obesity in adults is limited. This study aims to examine the association between long-term exposure to fine particulate matter (PM2.5) and obesity-related traits in Chinese adults. Thus, a cross-sectional study was conducted based on a nationally representative sample of 91, 121 adults from 31 provinces in China. Integrated the data from satellites, chemical transport model, and ground observations, annual average concentrations of PM2.5 was obtained at the township level using a machine learning method. The information on body weight, height, and waist circumference (WC) were obtained from a questionnaire survey. The general obesity and abdominal obesity status were classified based on body mass index (BMI) and WC, respectively. Logistic and multivariate linear regression models were used to examine the association between PM2.5 and obesity-related traits, along with the examination of potential effect modifications. After adjustment for covariates, a 10 μg/m3 increase in PM2.5 concentration was associated with 8.0% [95% confidence interval (CI): 1.0%, 10.0%] and 10% (95% CI: 9.0%, 11.0%) increases in odds for general obesity and abdominal obesity, respectively. The odds ratios associated with per 10 μg/m3 PM2.5 increase were significantly greater in individuals of older age (≥60 years), of Han ethnicity, with lower socioeconomic status (SES), cooking without using a ventilation device, using unclean household fuels, having near-home pollution sources, and doing no physical exercise. These findings suggest that long-term exposure to ambient PM2.5 increase obesity risk in Chinese adults. It has significant significance to reduce air pollution to reducing the burden of obesity, particularly for the susceptible populations.
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Affiliation(s)
- Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China
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