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Yan M, Zheng H, Yan R, Lang L, Wang Q, Xiao B, Zhang D, Lin H, Jia Y, Pan S, Chen Q. Vinculin Identified as a Potential Biomarker in Hand-Arm Vibration Syndrome Based on iTRAQ and LC-MS/MS-Based Proteomic Analysis. J Proteome Res 2023; 22:2714-2726. [PMID: 37437295 PMCID: PMC10408646 DOI: 10.1021/acs.jproteome.3c00277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Indexed: 07/14/2023]
Abstract
Local vibration can induce vascular injuries, one example is the hand-arm vibration syndrome (HAVS) caused by hand-transmitted vibration (HTV). Little is known about the molecular mechanism of HAVS-induced vascular injuries. Herein, the iTRAQ (isobaric tags for relative and absolute quantitation) followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomics approach was applied to conduct the quantitative proteomic analysis of plasma from specimens with HTV exposure or HAVS diagnosis. Overall, 726 proteins were identified in iTRAQ. 37 proteins upregulated and 43 downregulated in HAVS. Moreover, 37 upregulated and 40 downregulated when comparing severe HAVS and mild HAVS. Among them, Vinculin (VCL) was found to be downregulated in the whole process of HAVS. The concentration of vinculin was further verified by ELISA, and the results suggested that the proteomics data was reliable. Bioinformative analyses were used, and those proteins mainly engaged in specific biological processes like binding, focal adhesion, and integrins. The potential of vinculin application in HAVS diagnosis was validated by the receiver operating characteristic curve.
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Affiliation(s)
- Maosheng Yan
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
- Department
of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
| | - Hanjun Zheng
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
- Department
of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
| | - Rong Yan
- The
Centers for Disease Control and Prevention of Haizhu District, Guangzhou, Guangdong 510230, China
| | - Li Lang
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
| | - Qia Wang
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
| | - Bin Xiao
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
| | - Danying Zhang
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
| | - Hansheng Lin
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
| | - Yanxia Jia
- Department
of Public Health, Shanxi Medical University, Tai Yuan, Shanxi 030000, China
| | - Siyu Pan
- Guangdong
Province Hospital for Occupational Disease Prevention and Treatment, Guangdong Provincial Key Laboratory of Occupational
Disease Prevention and Treatment, Guangzhou, Guangdong 510230, China
- Department
of Public Health, Guangdong Pharmaceutical
University, Guangzhou, Guangdong 510230, China
| | - Qingsong Chen
- Department
of Public Health, Guangdong Pharmaceutical
University, Guangzhou, Guangdong 510230, China
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Witte J, Corominas A, Ernst B, Kaulbars U, Wendlandt R, Lindell H, Ochsmann E. Acute physiological and functional effects of repetitive shocks on the hand-arm system - a pilot study on healthy subjects. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2022:1-10. [PMID: 35930057 DOI: 10.1080/10803548.2022.2110358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
PURPOSE Exposure to hand-transmitted shocks is a widespread phenomenon at the workplace. Separate risk assessments for shocks do not exist in current international hand-arm vibration regulations, leading to a potential underestimation of associated health risks. METHODS In a pilot study approach, N = 8 healthy males were exposed to sets of 3×5 minutes of repetitive shocks and 1×5 minutes of random vibration, controlled at a weighted vibration total value of 10 m/s2 respectively. Baseline and post-exposure measurements of vibration perception thresholds, finger skin temperature, maximal grip / pinch force and the Purdue Pegboard test were conducted. Muscle activity was monitored continuously by surface electromyography. RESULTS Shock exposures evoked a temporary increase of vibration perception thresholds with high examination frequencies. A decrease of skin temperature was hinted for 1 s-1 and 20 s-1 shocks. Electromyographical findings indicated an additional load on two forearm muscles during shock transmission. Maximum grip force and manual dexterity were not affected, pinch force only partially reduced after the exposures. CONCLUSION Physiological effects from shock exposure conform to those described for hand-arm vibration exposure in principle, although some divergence can be hypothesized. Randomized designs are required to conclusively assess the need of occupational health concepts specifically for hand-transmitted shocks.
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Affiliation(s)
- Jonathan Witte
- Luebeck Institute of Occupational Health, University of Lübeck, Lübeck, Germany
| | - Alexandra Corominas
- Luebeck Institute of Occupational Health, University of Lübeck, Lübeck, Germany
| | - Benjamin Ernst
- Institute for Occupational Safety and Health, German Social Accident Insurance, Sankt Augustin, Germany
| | - Uwe Kaulbars
- Institute for Occupational Safety and Health, German Social Accident Insurance, Sankt Augustin, Germany
| | - Robert Wendlandt
- Clinic for orthopedic and trauma surgery, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Hans Lindell
- Department of material manufacturing, Research Institutes of Sweden, Mölndal, Sweden
| | - Elke Ochsmann
- Luebeck Institute of Occupational Health, University of Lübeck, Lübeck, Germany
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Hand-grip strength as a screening tool for sarcopenia in males with decompensated cirrhosis. Indian J Gastroenterol 2022; 41:284-291. [PMID: 35852763 DOI: 10.1007/s12664-022-01255-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 02/22/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Skeletal muscle index (SMI), the gold standard for sarcopenia, cannot measure muscle strength and requires specialized software and training. Hand-grip strength (HGS) measurement is cheap, requires minimal training and directly reflects muscle strength. We assessed the performance of HGS as a screening tool for sarcopenia in male patients with decompensated cirrhosis (DC). METHODS Consecutive male DC patients (n=155) were enrolled. Baseline liver functions, etiologic work-up and anthropometric measurements were done. SMI was determined from computed tomography (CT) images at L3 level using ImageJ software. Sarcopenia was diagnosed using SMI cut-off <42 cm2/m2 as suggested by the Indian National Association for Study of the Liver. HGS was assessed using a hand-grip dynamometer. Diagnostic performance of HGS for discriminating sarcopenia was described using receiver operating characteristic (ROC) analysis. Diagnostic performance of different HGS cut-offs was assessed. Findings were internally validated using bootstrapping. RESULTS Mean HGS and SMI were 25.73 ± 5.94 kg and 47.72 ± 8.71 cm2/m2, respectively. HGS showed modest correlation with SMI (tau: 0.31, p <0.001). Sarcopenia was seen in 41 (26.5%) patients. Age and HGS were independent predictors of sarcopenia on multivariate analysis. Area under the ROC curve (AUROC) of HGS for detecting sarcopenia was 0.73 (p<0.001). Optimal cut-off for using HGS as a screening tool was ≤31 kg (sensitivity: 37/41 [90.2%]; specificity: 29/114 [25.4%]; positive predictive value [PPV] : 37/122 [30.3%]; and negative predictive value [NPV]: 29/33 [87.9%]). CONCLUSION Prevalence of sarcopenia in Indian male patients with DC is 26.5%. HGS is an independent predictor of sarcopenia and can be used as a screening tool to stratify the need for confirmatory CT-based assessment of sarcopenia.
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Clemm T, Færden K, Ulvestad B, Lunde LK, Nordby KC. Dose-response relationship between hand-arm vibration exposure and vibrotactile thresholds among roadworkers. Occup Environ Med 2020; 77:188-193. [PMID: 31919277 PMCID: PMC7035685 DOI: 10.1136/oemed-2019-105926] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 11/09/2019] [Accepted: 12/14/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND Testing of vibration perception threshold (VPT) at the fingertips as a quantitative measure of tactile sensitivity is a commonly used tool in diagnosing hand-arm vibration syndrome. There is limited research on dose-response relationships between hand-arm vibration (HAV) exposure and VPT on an individual level. AIMS Assess possible dose-response relationships on an individual level between HAV exposure and VPT at the fingertips. METHODS We assessed average daily vibration exposure (m/s2A8) and cumulative lifetime HAV exposure for 104 participants from different departments in a road maintenance company based on vibration measurements and questionnaires. VPT was measured based on the technical method described in ISO 13091-1:2005 using octave frequencies 8-500 Hz. We investigated associations using linear regression models with significance level p≤0.05. RESULTS The participants were either exposed to rock drills (n=33), impact wrenches (n=52) or none of these tools (n=19). Exposure to rock drills and impact wrenches was associated with elevated VPT for all seven test frequencies in the second and fifth fingers of both hands. A dose-response with the daily exposure measure m/s2(A8) was found based on 1.2 m/s2(A8) for impact wrenches, and 5.4 m/s2(A8) for rock drills. A stronger association was found with the cumulative exposure for rock drills compared with impact wrenches, and for the second finger compared with the fifth finger. CONCLUSIONS HAV exposure was associated with elevated VPT, also at exposure levels below the common exposure action value of 2.5 m/s2(A8). Lowering the HAV exposure can contribute to prevent increasing VPTs in these workers.
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Affiliation(s)
- Thomas Clemm
- Department of Occupational Medicine and Epidemiology, Statens arbeidsmiljoinstitutt, Oslo, Norway
| | - Karl Færden
- Department of Environmental and Occupational Medicine, Oslo University Hospital, Oslo, Norway
| | - Bente Ulvestad
- Department of Occupational Medicine and Epidemiology, Statens arbeidsmiljoinstitutt, Oslo, Norway
| | - Lars-Kristian Lunde
- Department of Work Psychology and Physiology, Statens arbeidsmiljoinstitutt, Oslo, Norway
| | - Karl-Christian Nordby
- Department of Occupational Medicine and Epidemiology, Statens arbeidsmiljoinstitutt, Oslo, Norway
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