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Zhu T, Kang F, Han MM, He F, Jiang S, Hao LN, Huang X, Li J. Comparison of Ciprofol-Based and Propofol-Based Total Intravenous Anesthesia on Microvascular Decompression of Facial Nerve with Neurophysiological Monitoring: A Randomized Non-Inferiority Trial. Drug Des Devel Ther 2024; 18:2475-2484. [PMID: 38919963 PMCID: PMC11198000 DOI: 10.2147/dddt.s459618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 06/03/2024] [Indexed: 06/27/2024] Open
Abstract
Purpose Ciprofol is a recently developed short-acting gamma-aminobutyric acid receptor agonist with a higher potency than that of propofol. As a new sedative drug, there are few clinical studies on ciprofol. We sought to examine the safety and efficacy of ciprofol use for general anesthesia in neurosurgical individuals undergoing neurosurgical surgery with intraoperative neurophysiological monitoring (IONM). Patients and Methods This single-center, non-inferiority, single-blind, randomized controlled trial was conducted from September 13, 2022 to September 22, 2023. 120 patients undergoing elective microvascular decompression surgery (MVD) with IONM were randomly assigned to receive either ciprofol or propofol. The primary outcome of this study was the amplitude of intraoperative compound muscle action potential decline, and the secondary outcome included the indexes related to neurophysiological monitoring and anesthesia outcomes. Results The mean values of the primary outcome in the ciprofol group and the propofol group were 64.7±44.1 and 53.4±35.4, respectively. Furthermore, the 95% confidence interval of the difference was -25.78 to 3.12, with the upper limit of the difference being lower than the non-inferiority boundary of 6.6. Ciprofol could achieve non-inferior effectiveness in comparison with propofol in IONM of MVD. The result during anesthesia induction showed that the magnitude of the blood pressure drop and the incidence of injection pain in the ciprofol group were significantly lower than those in the propofol group (P<0.05). The sedative drug and norepinephrine consumption in the ciprofol group was significantly lower than that in the propofol group (P<0.05). Conclusion Ciprofol is not inferior to propofol in the effectiveness and safety of IONM and the surgical outcome. Concurrently, ciprofol is more conducive to reducing injection pain and improving hemodynamic stability, which may be more suitable for IONM-related surgery, and has a broad application prospect.
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Affiliation(s)
- Tao Zhu
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Fang Kang
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Ming-Ming Han
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Fang He
- Department of Electrophysiology, the First Affiliated Hospital of USTC, Division of life sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Sen Jiang
- Department of Electrophysiology, the First Affiliated Hospital of USTC, Division of life sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Li-Na Hao
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Xiang Huang
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
| | - Juan Li
- Department of Anesthesiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China
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Te R, Zhu B, Ma H, Zhang X, Chen S, Huang Y, Qi G. Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety. BMC Anesthesiol 2024; 24:136. [PMID: 38594630 PMCID: PMC11003123 DOI: 10.1186/s12871-024-02523-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/03/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Adequate preoperative evaluation of the post-intubation hemodynamic instability (PIHI) is crucial for accurate risk assessment and efficient anesthesia management. However, the incorporation of this evaluation within a predictive framework have been insufficiently addressed and executed. This study aims to developed a machine learning approach for preoperatively and precisely predicting the PIHI index values. METHODS In this retrospective study, the valid features were collected from 23,305 adult surgical patients at Peking Union Medical College Hospital between 2012 and 2020. Three hemodynamic response sequences including systolic pressure, diastolic pressure and heart rate, were utilized to design the post-intubation hemodynamic instability (PIHI) index by computing the integrated coefficient of variation (ICV) values. Different types of machine learning models were constructed to predict the ICV values, leveraging preoperative patient information and initiatory drug infusion. The models were trained and cross-validated based on balanced data using the SMOTETomek technique, and their performance was evaluated according to the mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and R-squared index (R2). RESULTS The ICV values were proved to be consistent with the anesthetists' ratings with Spearman correlation coefficient of 0.877 (P < 0.001), affirming its capability to effectively capture the PIHI variations. The extra tree regression model outperformed the other models in predicting the ICV values with the smallest MAE (0.0512, 95% CI: 0.0511-0.0513), RMSE (0.0792, 95% CI: 0.0790-0.0794), and MAPE (0.2086, 95% CI: 0.2077-0.2095) and the largest R2 (0.9047, 95% CI: 0.9043-0.9052). It was found that the features of age and preoperative hemodynamic status were the most important features for accurately predicting the ICV values. CONCLUSIONS Our results demonstrate the potential of the machine learning approach in predicting PIHI index values, thereby preoperatively informing anesthetists the possible anesthetic risk and enabling the implementation of individualized and precise anesthesia interventions.
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Affiliation(s)
- Rigele Te
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Bo Zhu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
| | - Haobo Ma
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Isreal Deaconess Medical Center, Boston, MA, 02215, USA
| | - Xiuhua Zhang
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Shaohui Chen
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Yuguang Huang
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Geqi Qi
- Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, 100044, China
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Jia L, Li H, Li T. Efficacy of Sevoflurane and Propofol Anesthesia on Perioperative Adverse Cardiovascular Events and Hemodynamics in Elderly Patients With Diabetes. Clin Ther 2024; 46:246-251. [PMID: 38350756 DOI: 10.1016/j.clinthera.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/05/2023] [Accepted: 01/18/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE This study was undertaken to compare the effects of sevoflurane and propofol anesthesia on perioperative hemodynamics and perioperative adverse cardiovascular events (PACE) in elderly patients with diabetes undergoing general anesthesia for noncardiac surgery. METHODS According to the random number table (n = 40), 80 patients with diabetes undergoing noncardiac general anesthesia were divided into a control group and an observation group. In the control group, the patients were given propofol 4 to 6 mg/(kg·h), continuously pumped to maintain anesthesia. In the observation group, the patients were given maintained concentration of sevoflurane for 1 to 1.5 minimum alveolar concentration (MAC) for continuous inhalation, while remifentanil with volume fraction of 0.05 to 1 µg/(kg·min) was given for continuous pumping in both groups. The heart rate (HR) and mean arterial pressure (MAP) of the patients were recorded, and the serum creatine kinase-MB (CK-MB) and cardiac troponin I (cTnI) contents before anesthesia (T0), immediately after surgery (T3), and 24 hours later (T4) as well as the blood glucose levels at T0 and T3 were compared between the two groups. The occurrence of PACE in the two groups was compared during the perioperative period. FINDINGS The HR and MAP 5 minutes after intubation (T1), 1 hour after skin incision (T2), and at T3 in the two groups were significantly lower than those of T0 (P < 0.05), whereas the MAP and HR of T1, T2, and T3 in the observation group were significantly higher than those of the control group (P < 0.05). The T3 blood glucose levels were significantly higher in the two groups than that in T0 (P < 0.05), and the T3 blood glucose levels in the observation group were significantly lower than that in the control group (P < 0.05). CK-MB and cTnI in the two groups were significantly higher at T3 and T4 than T0 (P < 0.05), whereas CK-MB and cTnI in the observation group were significantly lower than in the control group at T3 and T4 (P < 0.05). The incidence of hypotension and PACE was significantly lower in the observation group than in the control group (P < 0.05). IMPLICATIONS Compared with propofol IV general anesthesia, sevoflurane inhalation anesthesia can improve perioperative hemodynamics stability and reduce the incidence of PACE in elderly patients with diabetes undergoing noncardiac surgery.
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Affiliation(s)
- Liling Jia
- Department of Anesthesiology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Hongfeng Li
- Department of Anesthesiology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Tuping Li
- Department of Anesthesiology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
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Kafley C, K RP, Kummari S, Lakavath K, Kotagiri YG. Ti 3C 2T x-rGO-chitosan-based microcatheter sensor for real-time continuous monitoring of propofol: toward improved anesthetic management. Mikrochim Acta 2023; 190:388. [PMID: 37700189 DOI: 10.1007/s00604-023-05969-8] [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: 05/04/2023] [Accepted: 08/27/2023] [Indexed: 09/14/2023]
Abstract
We are aiming to develop an electrochemical microcatheter sensor for the detection and real-time continuous monitoring of propofol (PPF), which is an anesthetic drug majorly used during medical treatment. This proposed microcatheter-based sensing strategy meets the challenge of real-time periodic and continuous monitoring of propofol by using d-Ti3C2Tx-rGO-chi-modified carbon paste microcatheter sensor transducer. The sensing methodology relies on voltammetry and chronoamperometry transduction methods. The reusable microcatheter sensor was fabricated by embedding the three electrodes into a few millimeters-wide Teflon tube. The nanocomposite was characterized using advanced analytical instruments such as XRD, FE-SEM, EDX, Raman spectroscopy, and XPS. Further, electrode interfacial properties were characterized with voltammetry and electrochemical impedance spectroscopy. The electroanalytical performance of the modified microcatheter sensor was tested for the detection of PPF in phosphate buffer by using chronoamperometry with a wide linear range of 5 to 110 µM (at an applied potential of 0.3 V vs. Ag/AgCl). The sensor's practical potency was confirmed in human serum with a dynamic linear range of 10 to 130 µM. The sensor exhibited a good limit of detection values in phosphate buffer (2 µM) and natural human plasma (4 µM). The new sensor displays different dimensions of information while displaying high sensitivity, selectivity, and long-term stability. The outstanding analytical performance of the developed sensor holds considerable promise for the continuous monitoring of propofol, its effective management, and optimization of the doses in the patient's body.
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Affiliation(s)
- Chandan Kafley
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad Kerala, 678557, India
| | - Rahul P K
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad Kerala, 678557, India
| | - Shekher Kummari
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad Kerala, 678557, India
| | - Kavitha Lakavath
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad Kerala, 678557, India
| | - Yugender Goud Kotagiri
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad Kerala, 678557, India.
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Deng L, Wu L, Gao R, Xu X, Chen C, Liu J. Non-Opioid Anesthetics Addiction: A Review of Current Situation and Mechanism. Brain Sci 2023; 13:1259. [PMID: 37759860 PMCID: PMC10526861 DOI: 10.3390/brainsci13091259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/15/2023] [Accepted: 08/26/2023] [Indexed: 09/29/2023] Open
Abstract
Drug addiction is one of the major worldwide health problems, which will have serious adverse consequences on human health and significantly burden the social economy and public health. Drug abuse is more common in anesthesiologists than in the general population because of their easier access to controlled substances. Although opioids have been generally considered the most commonly abused drugs among anesthesiologists and nurse anesthetists, the abuse of non-opioid anesthetics has been increasingly severe in recent years. The purpose of this review is to provide an overview of the clinical situation and potential molecular mechanisms of non-opioid anesthetics addiction. This review incorporates the clinical and biomolecular evidence supporting the abuse potential of non-opioid anesthetics and the foreseeable mechanism causing the non-opioid anesthetics addiction phenotypes, promoting a better understanding of its pathogenesis and helping to find effective preventive and curative strategies.
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Affiliation(s)
- Liyun Deng
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lining Wu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Rui Gao
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiaolin Xu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Chan Chen
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jin Liu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China; (L.D.); (L.W.); (R.G.); (X.X.); (J.L.)
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu 610041, China
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de Melo IB, Oliveira-Paula GH, Ferezin LP, Ferreira GC, Pinheiro LC, Tanus-Santos JE, Garcia LV, Lacchini R, Paula-Garcia WN. TRPA1 Polymorphisms Modify the Hypotensive Responses to Propofol with No Change in Nitrite or Nitrate Levels. Curr Issues Mol Biol 2022; 44:6333-6345. [PMID: 36547093 PMCID: PMC9777046 DOI: 10.3390/cimb44120432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Anesthesia with propofol is frequently associated with hypotension. The TRPA1 gene contributes to the vasodilator effect of propofol. Hypotension is crucial for anesthesiologists because it is deleterious in the perioperative period. We tested whether the TRPA1 gene polymorphisms or haplotypes interfere with the hypotensive responses to propofol. PCR-determined genotypes and haplotype frequencies were estimated. Nitrite, nitrates, and NOx levels were measured. Propofol induced a more expressive lowering of the blood pressure (BP) without changing nitrite or nitrate levels in patients carrying CG+GG genotypes for the rs16937976 TRPA1 polymorphism and AG+AA genotypes for the rs13218757 TRPA1 polymorphism. The CGA haplotype presented the most remarkable drop in BP. Heart rate values were not impacted. The present exploratory analysis suggests that TRPA1 genotypes and haplotypes influence the hypotensive responses to propofol. The mechanisms involved are probably other than those related to NO bioavailability. With better genetic knowledge, planning anesthesia with fewer side effects may be possible.
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Affiliation(s)
- Isabela Borges de Melo
- Department of Orthopedics and Anesthesiology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Gustavo H. Oliveira-Paula
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Letícia Perticarrara Ferezin
- Department of Psychiatric Nursing and Human Sciences, Ribeirao Preto College of Nursing, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Graziele C. Ferreira
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Lucas C. Pinheiro
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Jose E. Tanus-Santos
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Luis V. Garcia
- Department of Orthopedics and Anesthesiology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Riccardo Lacchini
- Department of Psychiatric Nursing and Human Sciences, Ribeirao Preto College of Nursing, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
| | - Waynice N. Paula-Garcia
- Department of Orthopedics and Anesthesiology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14048900, SP, Brazil
- Correspondence: ; Tel.: +55-16-3602-2814
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Oliveira-Paula GH, Pereira DA, Pinheiro LC, Ferreira GC, Paula-Garcia WN, Garcia LV, Lacchini R, Luizon MR, Tanus-Santos JE. Gene-gene interactions in the protein kinase C/endothelial nitric oxide synthase axis impact the hypotensive effects of propofol. Basic Clin Pharmacol Toxicol 2021; 130:277-287. [PMID: 34825477 DOI: 10.1111/bcpt.13691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/19/2021] [Accepted: 11/18/2021] [Indexed: 11/27/2022]
Abstract
Anaesthesia with propofol is frequently associated with hypotension, which is at least partially attributable to increased nitric oxide (NO) formation derived from the activation of protein kinase C (PKC)/endothelial NO synthase (NOS3) axis. In this cross-sectional study, we tested whether PRKCA (which encodes PKCα) polymorphisms, or haplotypes, and interactions among PRKCA and NOS3 polymorphisms affect the hypotensive responses to propofol. We collected venous blood samples from 164 patients before and 10 min after propofol administration. Genotypes were determined by PCR and haplotype frequencies were estimated. Nitrite and NOx (nitrites+nitrates) levels were measured by using an ozone-based chemiluminescence assay and the Griess reaction, respectively. We used multifactor dimensionality reduction to test interactions among PRKCA and NOS3 polymorphisms. Propofol promoted enhanced blood pressure-lowering effects and increased nitrite levels in subjects carrying GA + AA genotypes for the rs16960228 and TC + CC genotypes for the rs1010544 PRKCA polymorphisms, and the CCG haplotype. Moreover, genotypes for the rs1010544 PRKCA polymorphism were associated with higher or lower blood pressure decreases in response to propofol depending on the genotypes for the rs2070744 NOS3 polymorphism. Our findings suggest that PRKCA genotypes and haplotypes impact the hypotensive responses to propofol, possibly by modifying NO bioavailability, and that PRKCA-NOS3 interactions modify the blood pressure-lowering effects of propofol.
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Affiliation(s)
- Gustavo H Oliveira-Paula
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil.,Wilf Family Cardiovascular Research Institute, Department of Medicine, Division of Cardiology, Albert Einstein College of Medicine, New York, New York, USA
| | - Daniela A Pereira
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Lucas C Pinheiro
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Graziele C Ferreira
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Waynice N Paula-Garcia
- Department of Biomechanics, Medicine and Rehabilitation of the Locomotor System, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Luis V Garcia
- Department of Biomechanics, Medicine and Rehabilitation of the Locomotor System, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Riccardo Lacchini
- Department of Psychiatric Nursing and Human Sciences, Ribeirao Preto College of Nursing, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Marcelo R Luizon
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Jose E Tanus-Santos
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
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