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Zhang X, Lu H, Fan M, Tian W, Wang Y, Cui M, Jiang Y, Suo C, Zhang T, Jin L, Xu K, Chen X. Bidirectional mediation of bone mineral density and brain atrophy on their associations with gait variability. Sci Rep 2024; 14:8483. [PMID: 38605086 PMCID: PMC11009386 DOI: 10.1038/s41598-024-59220-2] [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] [Received: 11/15/2023] [Accepted: 04/08/2024] [Indexed: 04/13/2024] Open
Abstract
This mediation analysis aimed to investigate the associations among areal bone mineral density, mobility-related brain atrophy, and specific gait patterns. A total of 595 participants from the Taizhou Imaging Study, who underwent both gait and bone mineral density measurements, were included in this cross-sectional analysis. We used a wearable gait tracking device to collect quantitative gait parameters and then summarized them into independent gait domains with factor analysis. Bone mineral density was measured in the lumbar spine, femoral neck, and total hip using dual-energy X-ray absorptiometry. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of brain regions related to mobility were computed using FreeSurfer. Lower bone mineral density was found to be associated with higher gait variability, especially at the site of the lumbar spine (β = 0.174, FDR = 0.001). Besides, higher gait variability was correlated with mobility-related brain atrophy, like the primary motor cortex (β = 0.147, FDR = 0.006), sensorimotor cortex (β = 0.153, FDR = 0.006), and entorhinal cortex (β = 0.106, FDR = 0.043). Bidirectional mediation analysis revealed that regional brain atrophy contributed to higher gait variability through the low lumbar spine bone mineral density (for the primary motor cortex, P = 0.018; for the sensorimotor cortex, P = 0.010) and the low lumbar spine bone mineral density contributed to higher gait variability through the primary motor and sensorimotor cortices (P = 0.026 and 0.010, respectively).
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Affiliation(s)
- Xin Zhang
- School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Heyang Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Yingzhe Wang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Mei Cui
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Chen Suo
- School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Tiejun Zhang
- School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Li Jin
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Kelin Xu
- School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China.
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Zhang X, Lu H, Fan M, Tian W, Cui M, Jiang Y, Suo C, Zhang T, Xu K, Wang Y, Chen X. Mobility-related brain regions linking carotid intima-media thickness to specific gait performances in old age. BMC Geriatr 2024; 24:303. [PMID: 38561655 PMCID: PMC10983675 DOI: 10.1186/s12877-024-04918-1] [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] [Received: 10/23/2023] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Gait disturbance is common in older adults with vascular diseases. However, how carotid atherosclerosis affects gait remains poorly understood. The objectives were to investigate the associations between carotid intima-media thickness and specific gait performances and explore the potential role of brain structure in mediating these associations. METHODS A cross-sectional analysis of data from the Taizhou Imaging Study was conducted, including 707 individuals who underwent both gait and carotid ultrasound examinations. Gait assessments include the Timed-Up-and-Go test, the Tinetti test, and quantitative gait assessment using a wearable device. Quantitative parameters were summarized into independent gait domains with factor analysis. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of fifteen brain regions related to motor function (primary motor, sensorimotor), visuospatial attention (inferior posterior parietal lobules, superior posterior parietal lobules), executive control function (dorsolateral prefrontal cortex, anterior cingulate), memory (hippocampus, entorhinal cortex), motor imagery (precuneus, parahippocampus, posterior cingulated cortex), and balance (basal ganglia: pallidum, putamen, caudate, thalamus) were computed using FreeSurfer and the Desikan-Killiany atlas. Mediation analysis was conducted with carotid intima-media thickness as the predictor and mobility-related brain regions as mediators. RESULTS Carotid intima-media thickness was found to be associated with the Timed-Up-and-Go performance (β = 0.129, p = 0.010) as well as gait performances related to pace (β=-0.213, p < 0.001) and symmetry (β = 0.096, p = 0.045). Besides, gait performances were correlated with mobility-related brain regions responsible for motor, visuospatial attention, executive control, memory, and balance (all FDR < 0.05). Notably, significant regions differed depending on the gait outcomes measured. The primary motor (41.9%), sensorimotor (29.3%), visuospatial attention (inferior posterior parietal lobules, superior posterior parietal lobules) (13.8%), entorhinal cortex (36.4%), and motor imagery (precuneus, parahippocampus, posterior cingulated cortex) (27.3%) mediated the association between increased carotid intima-media thickness and poorer Timed-Up-and-Go performance. For the pace domain, the primary motor (37.5%), sensorimotor (25.8%), visuospatial attention (12.3%), entorhinal cortex (20.7%), motor imagery (24.9%), and balance (basal ganglia: pallidum, putamen, caudate, thalamus) (11.6%) acted as mediators. CONCLUSIONS Carotid intima-media thickness is associated with gait performances, and mobility-related brain volume mediates these associations. Moreover, the distribution of brain regions regulating mobility varies in the different gait domains. Our study adds value in exploring the underlying mechanisms of gait disturbance in the aging population.
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Grants
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2022ZD0211600 the Science and Technology Innovation 2030 Major Projects
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 2021YFC2500100 National Key Research and Development Program of China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 23ZR1414000, 22ZR1405300 the Natural Science Foundation of Shanghai, China
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- 22QA1404000 the Shanghai Rising-Star Program
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
- GWGZLXK-2023-02 Fudan School of Public Health-Jiading CDC key disciplines for the high-quality development of public health
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Affiliation(s)
- Xin Zhang
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Heyang Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Mei Cui
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Chen Suo
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Tiejun Zhang
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
| | - Yingzhe Wang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China.
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Liu Y, Wang L, Zhou C, Yuan Y, Fang B, Lu K, Xu F, Chen L, Huang L. MiR-31-5p regulates the neuroinflammatory response via TRAF6 in neuropathic pain. Biol Direct 2024; 19:10. [PMID: 38267979 PMCID: PMC10807213 DOI: 10.1186/s13062-023-00434-1] [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] [Received: 07/27/2023] [Accepted: 11/02/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Neuropathic pain is chronic pain and has few effective control strategies. Studies have demonstrated that microRNAs have functions in neuropathic pain. However, no study has been conducted to demonstrate the role and mechanism of microRNA (miR)-31-5p in neuropathic pain. Accordingly, this study sought to determine the pathological role of miR-31-5p in chronic constriction injury (CCI) -induced neuropathic pain mouse models. METHODS We used CCI surgery to establish mouse neuropathic pain model. Behavioral tests were performed to evaluate pain sensitivity of mice. Expressions of miR-31-5p and inflammatory cytokines in dorsal root ganglion (DRG) were examined by polymerase chain reaction. Animals or cells were received with/without miR-31-5p mimic or inhibitor to investigate its role in neuropathic pain. The mechanism of miR-31-5p was assayed using western blotting, immunofluorescence staining and dual-luciferase reporter assay. RESULTS We found that CCI led to a significant decrease in miR-31-5p levels. Knockout of miR-31-5p and administration of miPEP31 exacerbated pain in C57BL/6 mice. Meanwhile, miR-31-5p overexpression increased the paw withdrawal threshold and latency. TRAF6 is one of the target gene of miR-31-5p, which can trigger a complex inflammatory response. TRAF6 was associated with pain and that reducing the DRG expression of TRAF6 could alleviate pain. In addition, miR-31-5p overexpression inhibited the TRAF6 expression and reduced the neuroinflammatory response. CONCLUSIONS All the results reveal that miR-31-5p could potentially alleviate pain in CCI mouse models by inhibiting the TRAF6 mediated neuroinflammatory response. MiR-31-5p upregulation is highlighted here as new target for CCI treatment.
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Affiliation(s)
- Yuqi Liu
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Lijuan Wang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Chengcheng Zhou
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Yuan Yuan
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Bin Fang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Kaimei Lu
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China
| | - Fangxia Xu
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China.
| | - Lianhua Chen
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China.
| | - Lina Huang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 20080, China.
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Gu W, Li J, Li F, Ho TE, Feng X, Wang Y, Fan M, Cui M, Xu K, Chen X, Lu H, Jiang Y. Association between oral health and cognitive function among Chinese older adults: the Taizhou imaging study. BMC Oral Health 2023; 23:640. [PMID: 37670297 PMCID: PMC10478256 DOI: 10.1186/s12903-023-03353-9] [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] [Received: 02/15/2023] [Accepted: 08/25/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND We aimed to investigate the association between oral health and cognitive function in a sample of older adults from a Chinese rural community. METHODS The cross-sectional cognitive function of 677 individuals were assessed by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A comprehensive profile of the oral health status was evaluated by questionnaire and clinical examination. RESULTS Multiple covariates-adjusted regression models demonstrated decayed teeth (DT) and decayed/missing/filled teeth (DMFT) were negatively associated with MoCA score (all p < 0.05). Calculus index (CI) and clinical attachment loss (CAL) were significantly associated with the lower MoCA, short-term memory and executive function score, respectively (all p < 0.05). Additionally, participants with missing teeth unrestored tend to get lower MMSE and MoCA scores (p < 0.05). The results also showed that increased DT and CI were modestly associated with higher odds of cognitive impairment (p < 0.05). CONCLUSIONS There is an association between oral health and global cognition. Poor periodontal status was strongly associated with worse global cognition performance, especially in the short-term memory and executive domain for the aging population.
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Affiliation(s)
- Wenjia Gu
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, College of Stomatology, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Jialin Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Fei Li
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, College of Stomatology, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Teck-Ek Ho
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, College of Stomatology, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Xiping Feng
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, College of Stomatology, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Yingzhe Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Haixia Lu
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, College of Stomatology, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, 639 Zhizaoju Road, Shanghai, 200011, China.
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- International Human Phenome Institute (Shanghai), Fudan University, 2005 Songhu Road, Shanghai, 200438, China.
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Wang J, Zheng Y, Wang Y, Zhang C, Jiang Y, Suo C, Cui M, Zhang T, Chen X, Xu K. BMI trajectory of rapid and excessive weight gain during adulthood is associated with bone loss: a cross-sectional study from NHANES 2005-2018. J Transl Med 2023; 21:536. [PMID: 37573305 PMCID: PMC10422827 DOI: 10.1186/s12967-023-04397-9] [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] [Received: 05/17/2023] [Accepted: 07/29/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND Studies have examined the effect of weight change on osteoporosis, but the results were controversial. Among them, few had looked at weight change over the life span. This study aimed to fill this gap and investigate the association between lifetime body mass index (BMI) trajectories and bone loss. METHODS In this cross-sectional study, participants at age 50 and above were selected from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Dual-energy X-ray Absorptiometry was used to measure the bone mineral density at the femoral neck and lumbar spine. Standard BMI criteria were used, with < 25 kg/m2 for normal, 25-29.9 kg/m2 for overweight, and ≥ 30 kg/m2 for obesity. The latent class trajectory model (LCTM) was used to identify BMI trajectories. Multinomial logistic regression models were fitted to evaluate the association between different BMI trajectories and osteoporosis or osteopenia. RESULTS For the 9,706 eligible participants, we identified four BMI trajectories, including stable (n = 7,681, 70.14%), slight increase (n = 1253, 12.91%), increase to decrease (n = 195, 2.01%), and rapid increase (n = 577, 5.94%). Compared with individuals in the stable trajectory, individuals in the rapid increase trajectory had higher odds of osteoporosis (OR = 2.25, 95% CI 1.19-4.23) and osteopenia (OR = 1.49, 95% CI 1.02-2.17). This association was only found in the lumbar spine (OR = 2.11, 95% CI 1.06-4.2) but not in the femoral neck. In early-stage (age 25-10 years ago) weight change, staying an obesity and stable weight seemed to have protective effects on osteoporosis (OR = 0.26, 95% CI 0.08-0.77) and osteopenia (OR = 0.46, 95% CI 0.25-0.84). Meanwhile, keeping an early-stage stable and overweight was related to lower odds of osteopenia (OR = 0.53, 95% CI 0.34-0.83). No statistically significant association between recent (10 years ago to baseline) weight change and osteoporosis was found. CONCLUSIONS Rapid and excess weight gain during adulthood is associated with a higher risk of osteoporosis. But this association varies by skeletal sites. Maintaining stable overweight and obesity at an early stage may have potentially beneficial effects on bone health.
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Affiliation(s)
- Jiacheng Wang
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China
| | - Yi Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, 200000, China
| | - Yawen Wang
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China
| | - Chengjun Zhang
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, 200000, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Chen Suo
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Tiejun Zhang
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, 200000, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China.
| | - Kelin Xu
- School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200000, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
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Qiang Y, Gao S, Zhang Y, Wang S, Chen L, Mu L, Fang H, Jiang J, Lei X. Thermally Reduced Graphene Oxide Membranes Revealed Selective Adsorption of Gold Ions from Mixed Ionic Solutions. Int J Mol Sci 2023; 24:12239. [PMID: 37569614 PMCID: PMC10418702 DOI: 10.3390/ijms241512239] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
The recovery of gold from water is an important research area. Recent reports have highlighted the ultrahigh capacity and selective extraction of gold from electronic waste using reduced graphene oxide (rGO). Here, we made a further attempt with the thermal rGO membranes and found that the thermal rGO membranes also had a similarly high adsorption efficiency (1.79 g gold per gram of rGO membranes at 1000 ppm). Furthermore, we paid special attention to the detailed selectivity between Au3+ and other ions by rGO membranes. The maximum adsorption capacity for Au3+ ions was about 16 times that of Cu2+ ions and 10 times that of Fe3+ ions in a mixture solution with equal proportions of Au3+/Cu2+ and Au3+/Fe3+. In a mixed-ion solution containing Au3+:Cu2+:Na+:Fe3+:Mg2+ of printed circuit board (PCB), the mass of Au3+:Cu2+:Na+:Fe3+:Mg2+ in rGO membranes is four orders of magnitude higher than the initial mass ratio. A theoretical analysis indicates that this selectivity may be attributed to the difference in the adsorption energy between the metal ions and the rGO membrane. The results are conducive to the usage of rGO membranes as adsorbents for Au capture from secondary metal resources in the industrial sector.
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Affiliation(s)
- Yu Qiang
- School of Physics and School of Material Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; (Y.Q.); (S.G.); (S.W.); (H.F.)
| | - Siyan Gao
- School of Physics and School of Material Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; (Y.Q.); (S.G.); (S.W.); (H.F.)
| | - Yueyu Zhang
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China; (Y.Z.); (L.M.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Wang
- School of Physics and School of Material Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; (Y.Q.); (S.G.); (S.W.); (H.F.)
| | - Liang Chen
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, China;
| | - Liuhua Mu
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China; (Y.Z.); (L.M.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiping Fang
- School of Physics and School of Material Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; (Y.Q.); (S.G.); (S.W.); (H.F.)
| | - Jie Jiang
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, China;
| | - Xiaoling Lei
- School of Physics and School of Material Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; (Y.Q.); (S.G.); (S.W.); (H.F.)
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Li J, Li Z, Ma X, Zhao Q, Zhang C, Yu G. Sentiment Analysis on Online Videos by Time-Sync Comments. Entropy (Basel) 2023; 25:1016. [PMID: 37509963 PMCID: PMC10378155 DOI: 10.3390/e25071016] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
Video highlights are welcomed by audiences, and are composed of interesting or meaningful shots, such as funny shots. However, video shots of highlights are currently edited manually by video editors, which is inconvenient and consumes an enormous amount of time. A way to help video editors locate video highlights more efficiently is essential. Since interesting or meaningful highlights in videos usually imply strong sentiments, a sentiment analysis model is proposed to automatically recognize sentiments of video highlights by time-sync comments. As the comments are synchronized with video playback time, the model detects sentiment information in time series of user comments. Moreover, in the model, a sentimental intensity calculation method is designed to compute sentiments of shots quantitatively. The experiments show that our approach improves the F1 score by 12.8% and overlapped number by 8.0% compared with the best existing method in extracting sentiments of highlights and obtaining sentimental intensities, which provides assistance for video editors in editing video highlights efficiently.
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Affiliation(s)
- Jiangfeng Li
- School of Software Engineering, Tongji University, Shanghai 201804, China
| | - Ziyu Li
- School of Software Engineering, Tongji University, Shanghai 201804, China
| | - Xiaofeng Ma
- School of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
| | - Qinpei Zhao
- School of Software Engineering, Tongji University, Shanghai 201804, China
| | - Chenxi Zhang
- School of Software Engineering, Tongji University, Shanghai 201804, China
| | - Gang Yu
- SILC Business School, Shanghai University, Shanghai 201800, China
- SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 200072, China
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