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Around half of anterior cruciate ligament (ACL) injuries are treated through reconstruction, but the literature lacks mechanical investigation of reconstructions in a dynamic athletic task and rupture environment. The current objective was to ascertain the feasibility of investigating ACL reconstructions in a rupture environment during simulated landing tasks in a validated mechanical impact simulator.
Four cadaveric lower extremities were subjected to simulated landing in a mechanical impact simulator. External joint loads that mimicked magnitudes recorded from an in vivo population were applied to each joint in a stepwise manner. Simulations were repeated until ACL failure was achieved. Repeated measures design was used to test each specimen in the native ACL and hamstrings, quadriceps, and patellar tendon reconstructed states.
ACL injuries were generated in 100% of specimens. Graft substance damage occurred in 58% of ACLRs, and in 75% of bone tendon bone grafts. Bone tendon bone and quadriceps graftsnd provided the most consistently relevant rupture results. This model advocated reconstruction graft capacity to sustain forces generated from immediate gait and weightbearing during rehabilitation from an ACL injury.
Previous studies have shown that for healthy spine, cyclic loading encountered due to whole-body vibration exposure generated higher responses in spinal tissues than static loading. However, how whole-body vibration affects spine biomechanics after interbody fusion surgery is poorly understood. BI-1347 molecular weight This study aimed at comparing the effects of vibration loading on spinal segments between postsurgical and healthy lumbar spines.
A validated finite element model of healthy human lumbosacral spine was modified to simulate interbody fusion at L4-L5 level considering the statuses immediately after surgery (before bony fusion) and after bony fusion. Biomechanical responses at its adjacent levels for the healthy and fusion models to a sinusoidal axial vibration load of ±40N and the corresponding static axal loads (-40N and 40N) were computed using transient dynamic and static analyses, respectively.
For both healthy and fusion models, vibration amplitudes of the predicted responses were significantly higher than the corresponding changing amplitudes under static loads. Specifically, the increasing effect of vibration load in disc bulge, disc stress and intradiscal pressure at L3-L4 level reached 255.9%, 215.0% and 224.4% for the healthy model, 157.4%, 177.8% and 171.8% for the fusion model (before bony fusion), 141.9%, 152.6% and 160.1% for the fusion model (after bony fusion).
Although whole-body vibration is still more dangerous for the lumbar spine after interbody fusion surgery than static loading, the sensitivity of adjacent segment in postsurgical spine to vibration loading is decreased compared with healthy spine, especially when reaching to bony fusion.
Although whole-body vibration is still more dangerous for the lumbar spine after interbody fusion surgery than static loading, the sensitivity of adjacent segment in postsurgical spine to vibration loading is decreased compared with healthy spine, especially when reaching to bony fusion.
Alcohol is known to modulate the immune system, including cytokines, under conditions of both acute consumption and chronic use. The specific pro- and anti-inflammatory effects and mechanisms whereby alcohol consumption modulates circulating cytokine concentrations are not well understood. Few studies in humans have investigated the effect of acute alcohol consumption on plasma cytokine concentrations in individuals who are heavy drinkers.
Data were pooled from two studies involving a total of 25 non-treatment seeking, heavy drinking individuals who undertook an oral alcohol administration procedure. Plasma cytokine [Interleukin-10 (IL-10), Interleukin-6 (IL-6), Interleukin-18 (IL-18) and Tumor Necrosis Factor-alpha (TNF-α)] concentrations were measured at two baseline timepoints, then three hours after alcohol administration, and finally when breath alcohol concentrations returned to zero. Linear mixed models were conducted to determine whether there was a significant effect of time on cytokine concentraincrease in proinflammatory cytokines approximately 3 h after initial alcohol ingestion. Further research should be done to elucidate the complex interaction between alcohol and the immune system.
Methamphetamine use is a growing public health concern in the United States. Prior analyses with nationally representative data from 2015 to 2017 suggested that increases in methamphetamine use appeared largely selective to people using heroin. This analysis updated prior estimates to determine if trends are selectively persistent and how they compare to historical trends. We also evaluate sociodemographic risk factors associated with methamphetamine use among people using heroin.
Data from the 2015-2019 National Surveys on Drug Use and Health (NSDUH) were analyzed. Data from the 2006-2014 NSDUH were summarized for historical trends. Past month and past year methamphetamine use prevalence was determined within populations using heroin as well as those using other drugs (e.g., cocaine, cannabis). Multivariable logistic models accounting for complex survey design evaluated predictors of methamphetamine use among people using heroin.
From 2015 to 2019, past month methamphetamine use increased from 9.0% to ngly unlikely to naturally resolve.
The biomedical research enterprise invests greatly in discovery-oriented science, but significantly less in how to implement the most effective of these innovations. The return on investment in public health benefit is therefore low. In the context of substance-related overdose epidemics, presently with opioids and/or stimulants, the gap in proven treatments and routine access is amplified. Implementation research is designed to deepen understanding of how best to scale-up proven treatments. This study assessed how implementation research has been deployed in the National Institute on Drug Abuse (NIDA) efforts to address the opioid and stimulant epidemics.
Adapting a procedure developed to categorize HIV-focused research, a four-stage systematic mapping review of NIDA-funded R01, R34, R61, and U studies pertaining to opioids and/or stimulants funded between 2015 and 2019 was performed. Abstracts were retrieved using NIH Research Portfolio Online Reporting Tools. Key study characteristics were abstracted a
Methamphetamine abuse has increased significantly in recent years. Currently, there are no FDA-approved pharmacotherapies for the treatment of methamphetamine use disorder. The goal of the current study was to determine if the N-methyl-d-aspartate (NMDA) GluN2B-selective antagonist Ro 63-1908 can block the conditioned rewarding effects of methamphetamine as assessed in conditioned place preference (CPP).
Two main experiments were conducted. In the first experiment, male (n = 24) and female (n = 24) rats received either vehicle or Ro 63-1908 (1.0-10.0 mg/kg) 30 min prior to the posttest to determine if blocking the GluN2B subunit attenuates expression of methamphetamine CPP. In the second experiment, male (n = 18) and female (n = 18) rats received either vehicle or Ro 63-1908 (1.0 or 3.0 mg/kg) 30 min prior to each conditioning session to determine if blocking the GluN2B subunit attenuates acquisition of methamphetamine CPP.
Ro 63-1908 (3.0 mg/kg) blocked acquisition of methamphetamine CPP in male rats, but only attenuated CPP in female rats. Ro 63-1908 did not alter expression of CPP in either sex. Increasing the dose of Ro 63-1908 (10.0 mg/kg) failed to block acquisition of CPP in an additional group of female rats (n = 6). A control experiment showed that Ro 63-1908 (3.0 mg/kg) did not produce CPP or conditioned place aversion in male rats (n = 6) or in female rats (n = 6).
The results of this study show that Ro 63-1908 is able to decrease the conditioned rewarding effects of methamphetamine.
The results of this study show that Ro 63-1908 is able to decrease the conditioned rewarding effects of methamphetamine.
The opioid crisis has put an increasing strain on US states over the last two decades. In response, all states have passed legislation to implement a portfolio of policies to address the crisis. Although effects of some of these policies have been studied, research into factors associated with state policy adoption decisions has largely been lacking. We address this gap by focusing on factors associated with adoption of naloxone access laws (NAL), which aim to increase the accessibility and availability of naloxone in the community as a harm reduction strategy to reduce opioid-related morbidity and mortality.
We used event history analysis (EHA) to identify predictors of the diffusion of naloxone access laws (NAL) from 2001, when the first NAL was passed, to 2017, when all states had adopted NAL. A variety of state characteristics were included in the model as potential predictors of adoption.
We found that state adoption of NAL increased gradually, then more rapidly starting in 2013. Consistent with this S-shaped diffusion process, the strongest predictor of adoption was prior adoption by neighboring states. Having a more conservative political ideology and having a higher percentage of residents who identified as evangelical Protestants were associated with later adoption of NAL.
States appear to be influenced by their neighbors in deciding whether and when to adopt NAL. Advocacy for harm reduction policies like NAL should take into account the political and religious culture of a state.
States appear to be influenced by their neighbors in deciding whether and when to adopt NAL. Advocacy for harm reduction policies like NAL should take into account the political and religious culture of a state.
Opioid use disorder (OUD) remains a public health crisis in the USA. Although stress and craving are common precipitants of substance use, no research to date has investigated the impact of laboratory-induced stress and craving on subsequent opioid use.
Participants (N = 31) were individuals with prescription OUD who completed a human laboratory study followed by a one-month follow-up visit. Participants were randomly assigned to either a stress task (i.e., Trier Social Tress Task; TSST) or a no-stress condition, and then all participants completed an opioid cue paradigm. Measures of subjective (e.g., stress, craving), and neuroendocrine (e.g., cortisol, dehydroepiandrosterone) reactivity were assessed before and after each task. Survival and regression models tested the association between reactivity to the laboratory tasks and a) time to first opioid use and b) amount of opioid use during follow-up.
On average, participants first used opioids 3.65 (SD = 2.08) days following the study. Craving after the opioid cue paradigm (B = 0.44, Exp(B) = 1.55, 95 % CI [1.06, 2.28], p = .02) and after the TSST/no-stress condition plus opioid cue paradigm (B = 1.06, Exp(B) = 2.88, 95 % CI [1.70, 4.85], p < .001) predicted time to first use. Additionally, there was a significant interaction between randomization to the TSST, stress reactivity, and amount of opioids used.
Findings demonstrate that elevated cue-induced craving, either in the context of a stressor or not, is associated with shortened time to opioid use, whereas stress reactivity impacts the amount of opioids consumed. Preliminary findings add to the literature on stress, craving and opioid use and implicate treatment.
Findings demonstrate that elevated cue-induced craving, either in the context of a stressor or not, is associated with shortened time to opioid use, whereas stress reactivity impacts the amount of opioids consumed. Preliminary findings add to the literature on stress, craving and opioid use and implicate treatment.
Homepage: https://www.selleckchem.com/products/bi-1347.html
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