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Risk factors for patellofemoral joint osteoarthritis following ACL reconstruction: A cluster analysis of anatomy and alignment 前交叉韧带重建术后髌股关节骨关节炎的风险因素:解剖和对齐的聚类分析。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-18 DOI: 10.1002/jor.26014
Thomas Demirjian, John Crues III, Christopher M. Powers

Individuals who undergo anterior cruciate ligament reconstruction are at elevated risk for developing early-onset patellofemoral joint osteoarthritis. Our objective was to use K-means clustering to ascertain whether individuals at risk for patellofemoral joint osteoarthritis could be identified as determined by the presence of multiple co-existing anatomical and patella alignment risk factors. Forty participants (20 after anterior cruciate ligament reconstruction, 20 healthy controls) underwent magnetic resonance imaging assessment of the patellofemoral joint. Measures of hypothesized risk factors for patellofemoral joint osteoarthritis were obtained including patella alignment (lateral patella displacement and tilt), trochlear morphology (sulcus angle, lateral inclination angle), patella height (Insall-Salvati ratio and patella articulating overlap), and patellofemoral joint contact area. K-means clustering (k = 2) was used to ascertain whether a high-risk group could be identified. Following clustering, two distinct groups were detected. Participants assigned to cluster 1 exhibited features consistent with patellofemoral joint osteoarthritis including greater lateral patellar displacement and tilt, flatter trochlear grooves and lower lateral trochlear inclination, less patella articulating overlap, and reduced contact area. The proportion of females after anterior cruciate ligament reconstruction assigned to cluster 1 was 75% (N = 15) compared to 25% of healthy females (N = 5). K-means clustering was capable of characterizing individuals at elevated risk for patellofemoral joint osteoarthritis based on the presence of multiple co-existing anatomical and patella alignment risk factors. The fact that a significant percentage of females were assigned to the high-risk cluster supports the clinical observation that these individuals may be at higher risk of early-onset patellofemoral joint osteoarthritis.

接受前交叉韧带重建手术的患者罹患早发髌股关节骨关节炎的风险较高。我们的目的是利用 K-均值聚类来确定,是否可以根据是否存在多种并存的解剖和髌骨排列风险因素来确定髌股关节骨关节炎的高危人群。40 名参与者(20 名接受过前交叉韧带重建术,20 名健康对照组)接受了髌股关节磁共振成像评估。对假定的髌股关节骨关节炎风险因素进行了测量,包括髌骨对位(髌骨外侧位移和倾斜)、髌骨形态(沟角、外侧倾斜角)、髌骨高度(Insall-Salvati比率和髌骨关节重叠)和髌股关节接触面积。K 均值聚类法(k = 2)用于确定是否能识别出高风险组。聚类后,发现了两个不同的组别。被归入聚类1的参与者表现出与髌股关节骨关节炎一致的特征,包括髌骨外侧移位和倾斜更大、蹄铁沟更平、蹄铁外侧倾斜更小、髌骨关节重叠更少以及接触面积减小。前交叉韧带重建后的女性被归入第1组的比例为75%(N = 15),而健康女性的比例为25%(N = 5)。K均值聚类能够根据存在多种并存的解剖和髌骨排列风险因素,确定髌股关节骨关节炎高危人群的特征。相当大比例的女性被归入高风险群组,这一事实支持了临床观察结果,即这些人患早发髌股关节骨关节炎的风险可能更高。
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引用次数: 0
Polytrauma impairs fracture healing accompanied by increased persistence of innate inflammatory stimuli and reduced adaptive response 多发性创伤会影响骨折愈合,并伴随先天性炎症刺激的持续性增加和适应性反应的降低。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-17 DOI: 10.1002/jor.26015
Augustine Mark Saiz, Maryam Rahmati, Robert Charles Henry Gresham, Tony Daniel Baldini, Jane Burgan, Mark A. Lee, Benjamin Osipov, Blaine A. Christiansen, Thaqif El Khassawna, D. C. Florian Wieland, André Lopes Marinho, Clement Blanchet, Molly Czachor, Zachary M. Working, Chelsea S. Bahney, J. Kent Leach

The field of bone regeneration has primarily focused on investigating fracture healing and nonunion in isolated musculoskeletal injuries. Compared to isolated fractures, which frequently heal well, fractures in patients with multiple bodily injuries (polytrauma) may exhibit impaired healing. While some papers have reported the overall cytokine response to polytrauma conditions, significant gaps in our understanding remain in how fractures heal differently in polytrauma patients. We aimed to characterize fracture healing and the temporal local and systemic immune responses to polytrauma in a murine model of polytrauma composed of a femur fracture combined with isolated chest trauma. We collected serum, bone marrow from the uninjured limb, femur fracture tissue, and lung tissue over 3 weeks to study the local and systemic immune responses and cytokine expression after injury. Immune cell distribution was assessed by flow cytometry. Fracture healing was characterized using microcomputed tomography (microCT), histological staining, immunohistochemistry, mechanical testing, and small angle X-ray scattering. We detected more innate immune cells in the polytrauma group, both locally at the fracture site and systemically, compared to other groups. The percentage of B and T cells was dramatically reduced in the polytrauma group 6 h after injury and remained low throughout the study duration. Fracture healing in the polytrauma group was impaired, evidenced by the formation of a poorly mineralized and dysregulated fracture callus. Our data confirm the early, dysregulated inflammatory state in polytrauma that correlates with disorganized and impaired fracture healing.

骨再生领域主要侧重于研究孤立的肌肉骨骼损伤的骨折愈合和不愈合。与通常愈合良好的孤立性骨折相比,身体多处受伤(多发性创伤)患者的骨折可能会出现愈合障碍。虽然一些论文报道了多发性创伤情况下细胞因子的整体反应,但我们对多发性创伤患者骨折愈合的不同方式的理解仍存在很大差距。我们的目的是在一个由股骨骨折和孤立的胸部创伤组成的多发性创伤小鼠模型中,描述骨折愈合以及对多发性创伤的局部和全身免疫反应的时间特征。我们收集了未受伤肢体的血清、骨髓、股骨骨折组织和肺组织,历时 3 周,以研究受伤后的局部和全身免疫反应及细胞因子表达。流式细胞术评估了免疫细胞的分布。利用微型计算机断层扫描(microCT)、组织学染色、免疫组化、机械测试和小角 X 射线散射对骨折愈合进行了表征。与其他组别相比,我们在多发性创伤组的骨折部位和全身检测到了更多的先天性免疫细胞。多发性创伤组的 B 细胞和 T 细胞比例在受伤 6 小时后急剧下降,并在整个研究期间保持较低水平。多发性创伤组的骨折愈合受损,表现为形成矿化度低、调节失调的骨折胼胝体。我们的数据证实了多发性创伤的早期炎症失调状态与骨折愈合紊乱和受损有关。
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引用次数: 0
Clearing-enabled light sheet microscopy as a novel method for three-dimensional mapping of the sensory innervation of the mouse knee 透明光片显微镜是绘制小鼠膝关节感觉神经支配三维图的一种新方法。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-15 DOI: 10.1002/jor.26016
Frank C. Ko, Spencer Fullam, Hoomin Lee, Kelly Chan, Shingo Ishihara, Natalie S. Adamczyk, Alia M. Obeidat, Sarah Soorya, Richard J. Miller, Anne-Marie Malfait, Rachel E. Miller

A major barrier that hampers our understanding of the precise anatomic distribution of pain sensing nerves in and around the joint is the limited view obtained from traditional two dimensional (D) histological approaches. Therefore, our objective was to develop a workflow that allows examination of the innervation of the intact mouse knee joint in 3D by employing clearing-enabled light sheet microscopy. We first surveyed existing clearing protocols (SUMIC, PEGASOS, and DISCO) to determine their ability to clear the whole mouse knee joint, and discovered that a DISCO protocol provided the optimal transparency for light sheet microscopy imaging. We then modified the DISCO protocol to enhance binding and penetration of antibodies used for labeling nerves. Using the pan-neuronal PGP9.5 antibody, our protocol allowed 3D visualization of innervation in and around the mouse knee joint. We then implemented the workflow in mice intra-articularly injected with nerve growth factor (NGF) to determine whether changes in the nerve density can be observed. Both 3D and 2D analytical approaches of the light sheet microscopy images demonstrated quantifiable changes in midjoint nerve density following 4 weeks of NGF injection in the medial but not in the lateral joint compartment. We provide, for the first time, a comprehensive workflow that allows detailed and quantifiable examination of mouse knee joint innervation in 3D.

传统的二维(D)组织学方法视野有限,是阻碍我们了解痛觉神经在关节内外精确解剖分布的主要障碍。因此,我们的目标是开发一种工作流程,通过使用支持透明的光片显微镜来检查完整小鼠膝关节的三维神经支配。我们首先调查了现有的清除方案(SUMIC、PEGASOS 和 DISCO),以确定它们清除整个小鼠膝关节的能力,结果发现 DISCO 方案为光片显微成像提供了最佳透明度。我们随后修改了 DISCO 方案,以增强用于标记神经的抗体的结合力和穿透力。通过使用泛神经元 PGP9.5 抗体,我们的方案实现了小鼠膝关节及其周围神经支配的三维可视化。然后,我们在关节内注射神经生长因子(NGF)的小鼠身上实施了这一工作流程,以确定能否观察到神经密度的变化。光片显微镜图像的三维和二维分析方法都表明,注射 NGF 4 周后,关节内侧而非外侧的中关节神经密度发生了可量化的变化。我们首次提供了一个全面的工作流程,可对小鼠膝关节神经支配进行详细的三维量化检查。
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引用次数: 0
Inducible displacement of cementless total knee arthroplasty components with conventional and weight-bearing CT-based radiostereometric analysis 通过传统和负重 CT 放射立体测量分析无骨水泥全膝关节置换术组件的诱发位移。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-15 DOI: 10.1002/jor.26017
Rebecca A. Hext, Bart L. Kaptein, James L. Howard, Brent A. Lanting, Matthew G. Teeter

Aseptic loosening remains one of the top causes of revision surgery of total knee arthroplasty (TKA). Radiostereometric analysis (RSA) is used in research to measure implant migration, however limitations prevent its clinical use. New methods have allowed the same measurements as RSA to be performed with computed tomography (CT) scanners (CT-RSA). The objective of this study is to determine inducible displacement measurements from weight-bearing computed tomography (WBCT) and conventional RSA to assess implant stability. Participants (n = 17) completed RSA exams in the supine and standing position, and WBCT exams in the seated (leg extended) and standing position. Double examinations were performed in the seated (WBCT) or supine (RSA) positions. Inducible displacements were measured with model-based RSA (MBRSA) for RSA exams, and a novel CT-RSA software, V3MA, for WBCT exams. Precision of each technique was calculated between double examinations. Precision data for tibial component total translations and rotations were 0.05 mm and 0.118°, respectively with WBCT-RSA, and were 0.108 mm and 0.269°, respectively with MBRSA. MTPM precision was 0.141 mm with WBCT-RSA and was 0.168 mm with MBRSA. Inducible displacement MTPM of the tibial component was 0.244 ± 0.220 mm with WBCT-RSA and 0.662 ± 0.257 mm with MBRSA. Inducible displacement measurements with MBRSA were significantly different from WBCT-RSA for tibial component anterior tilt (p = 0.0002). WBCT-RSA demonstrated comparable precision to MBRSA, and both techniques measured inducible displacements consistent with stable components. Clinical Significance: As the availability of WBCT increases, its use as an alternative to MBRSA is supported to measure the instantaneous fixation of implant components.

无菌性松动仍是全膝关节置换术(TKA)翻修手术的主要原因之一。研究中使用放射性立体计量分析(RSA)来测量植入物的移位,但其局限性阻碍了它在临床上的应用。新方法允许使用计算机断层扫描(CT)扫描仪(CT-RSA)进行与 RSA 相同的测量。本研究的目的是确定负重计算机断层扫描(WBCT)和传统 RSA 的诱导位移测量值,以评估种植体的稳定性。参与者(n = 17)在仰卧位和站立位完成 RSA 检查,在坐位(腿部伸直)和站立位完成 WBCT 检查。双重检查在坐位(WBCT)或仰卧位(RSA)进行。RSA检查使用基于模型的RSA(MBRSA)测量诱发位移,WBCT检查使用新型CT-RSA软件V3MA测量诱发位移。计算了每种技术在两次检查之间的精确度。WBCT-RSA 的胫骨组件总平移和旋转精度数据分别为 0.05 毫米和 0.118°,MBRSA 的胫骨组件总平移和旋转精度数据分别为 0.108 毫米和 0.269°。WBCT-RSA 的 MTPM 精度为 0.141 毫米,MBRSA 为 0.168 毫米。使用 WBCT-RSA 测量胫骨组件的可诱发位移 MTPM 为 0.244 ± 0.220 毫米,使用 MBRSA 测量为 0.662 ± 0.257 毫米。在胫骨组件前倾方面,MBRSA 的诱发位移测量结果与 WBCT-RSA 有显著差异(p = 0.0002)。WBCT-RSA 的精确度与 MBRSA 相当,两种技术测量出的可诱发位移与稳定组件一致。临床意义:随着 WBCT 可用性的提高,支持使用 WBCT 替代 MBRSA 来测量植入组件的瞬时固定。
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引用次数: 0
Issue Information - Editorial Board and TOC 期刊信息 - 编辑委员会和目录
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-12 DOI: 10.1002/jor.25622
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引用次数: 0
The Journal of Orthopaedic Research extends gratitude and recognition to the many scientists who contributed as peer reviewers between October 1, 2023 and September 30, 2024. Their efforts greatly improved not only individual manuscripts but the quality of the journal and overall research in the field of orthopaedics. They include: 骨科研究杂志》向在 2023 年 10 月 1 日至 2024 年 9 月 30 日期间担任同行评审的众多科学家表示感谢和认可。他们的努力不仅极大地提高了个人稿件的质量,也提高了期刊和骨科领域整体研究的质量。他们包括
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-12 DOI: 10.1002/jor.25997
<p>Aaron, Roy</p><p>Abe, Shingo</p><p>Abraham, Adam</p><p>Ackland, David</p><p>Adam, Emma</p><p>Ahn, Jaimo</p><p>Ai Yuan, Wang</p><p>Aitken, Holly</p><p>Akgün, Doruk</p><p>Akkouch, Adil</p><p>Akkus, Ozan</p><p>Alenchery, Rahul</p><p>Alford, Andrea</p><p>Alford, Andrea</p><p>Alkalay, Ron</p><p>Almarza, Alejandro</p><p>Alsiri, Najla</p><p>Al-Zube, Loay</p><p>Amadio, Peter</p><p>Amanatullah, Derek</p><p>Amanatullah, Derek</p><p>Amrami, Kimberly</p><p>Anderson, Andrew E.</p><p>Anderson, Donald</p><p>Anderst, William</p><p>Andrysek, Jan</p><p>Angelelli, Lucia</p><p>Arena, Sara</p><p>Arnold, William</p><p>Arnold, William</p><p>Aro, Hannu</p><p>Asahara, Hiroshi</p><p>Astephen Wilson, Janie</p><p>Atasoy-Zeybek, Aysegul</p><p>Ateshian, Gerard</p><p>Atkins, Gerald</p><p>Attur, Mukundan</p><p>Audenaert, Emmanuel</p><p>Augat, Peter</p><p>Awad, Hani</p><p>Bacon, Kathy</p><p>Bafor, Anirejuoritse</p><p>Bahney, Chelsea</p><p>Bal, Zeynep</p><p>Barber, Lauren</p><p>Barcik, Jan</p><p>Barry, Frank</p><p>Bates, Nathaniel</p><p>Baxter, Josh</p><p>Beaulé, Paul</p><p>Beaulé, Paul</p><p>Beckers, Gautier</p><p>Bernstein, David</p><p>Bernthal, Nicholas</p><p>Bertolini, Gladson</p><p>Besier, Thor</p><p>Bey, Michael</p><p>Bian, Liming</p><p>Binder, Benjamin</p><p>Bischoff, Jeffrey</p><p>Bixby, Sarah D.</p><p>Blokhuis, Taco</p><p>Boden, Scott</p><p>Bonassar, Lawrence</p><p>Bonnheim, Noah</p><p>Bontempi, Marco</p><p>Bottlang, Michael</p><p>Boughton, Oliver</p><p>Boyd, Steven</p><p>Braun, John</p><p>Brophy, Robert</p><p>Bruce Leicht, Amelia</p><p>Buck, Ashley</p><p>Buckley, Mark</p><p>Bumgardner, Joel</p><p>Burkhart, Timothy</p><p>Burssens, Arne</p><p>Byrd, J. W. Thomas</p><p>Cai, Aijia</p><p>Cain, Jarrett D.</p><p>Calafiore, Dario</p><p>Callary, Stuart</p><p>Cao, Chike</p><p>Cardozo, Christopher P.</p><p>Carli, Alberto V.</p><p>Carlson, Cathy</p><p>Carpenter, Dana</p><p>Carroll, Chad</p><p>Catelas, Isabelle</p><p>Chang, Joan</p><p>Chao, Grace</p><p>Chappard, Christine</p><p>Chen, Antonia</p><p>Chen, Antonia</p><p>Chen, Bin</p><p>Chen, Tony</p><p>Chen, Zhihao</p><p>Chen, Weiheng</p><p>Chen, Chung-Hwan</p><p>Chen, Szu-Fu</p><p>Chen, Zhenxian</p><p>Cheng, Boyle</p><p>Chisari, Emanuele</p><p>Chiu, Yung-Cheng</p><p>Cho, Woojin</p><p>Choe, Hyonmin</p><p>Choe, Hyonmin</p><p>Chougule, Amit</p><p>Chow, Simon</p><p>Christ, Alexander</p><p>Christiansen, Blaine</p><p>Citters, Douglas Van</p><p>Ciufo, David</p><p>Clark, J. David</p><p>Clouthier, Allison</p><p>Cnudde, Peter</p><p>Cobian, Daniel</p><p>Colbath, Aimee</p><p>Cole, C.</p><p>Coleman, Mitchell</p><p>Coleman, Rhima</p><p>Collier, Christopher</p><p>Collins, Kelsey</p><p>Connizzo, Brianne</p><p>Cook, James L.</p><p>Cook, James</p><p>Cooper, David</p><p>Corino, Valentina</p><p>Corr, David</p><p>Couppe, Christian</p><p>Creemers, Laura</p><p>Crisco, Joseph</p><p>Cui, Quanjun (Trey)</p><p>Curreli, Cristina</p><p>Dai, Boyi</p><p>Dailey, Hannah</p><p>Daiss, John</p><p>Dakin, Stephanie</p><p>Dar, Ayelet</p><p>De Marco, Giacomo</p><p>DeFrate
Han, ShuyangHansen, AdamHarris, MichaelHarris-Hayes, MarcieHart, JoeHast, MichaelHe, FumingHealey, JohnHeckelman, LaurenHegde, VishalHenckel, JohannHenninger, HeathHenry, JensenHernandez, ChristopherHeyland, MarkHildebrand, KevinHill、ChericeHirosawa、TakanobuHirozane、ToruHirvasniemi、JukkaHiyama、AkihikoHoang、BangHolmes、SkylarHong、Chih-KaiHuang、AliceHuayamave、VictorHughes、JonathanHull、MauryHung、ClarkHussien、AmroIatridis、JamesIatridis、JamesImhauser、CarlInnmann, MoritzInnocenti, BernardoIrwin, RebeccaIto, HiromuIto, HiromuIto, KeitaIwamoto, MasahiroIwamoto, TakujiIwasaki, NorimasaJackson, NicoletteJacobs, CaleJames, AaronJang, YoungJanssen, DennisJayasuriya, ChathurakaJeffers、SawadaJurynec, MichaelKabelitz, MethodKaptein, BartKataoka, KiminariKates, StephenKatja, GlismannKeener, JayKeir, PeterKemp, Joannekhanna, vickasKiapour, AtaKielian, TammyKim, HarryKim, HyunminKim, Young-YulKing, GrahamKingery、丽贝卡-勒杜,威廉-李,瓦西里-李,张勋-李,朱莉安娜-勒梅,米歇尔-伦茨,艾米-伦茨,马克-勒纳,艾米-刘易斯,卡尔-李,李刚,李国安,李洪帅,李宗明,彭亮,廖超,李子杰-阿尔诺,莎莉-利伯曼,杰-林、AlbertLin、HangLin、SheldonLin、Song-ShuLindner、ClaudiaLipman、JosephLittle、ChristopherLittle、DianneLiu、XuhuiLoh、Ping YeapLohmann、ChristophLoiselle、AlaynaLoots、GabyLotz、MartinLoughran、GalynaLovric、GoranLu、HongbinLu、X.LucasLudewig, PaulaLundberg, HannahLunn, DavidMa, RichardMacfarlane, AlexanderMaerz, TristanMaher, SuzanneMakhni, MelvinMann, KennethMann, KennethManske, SarahMarchand, LucasMarie-Hardy, LauraMarvin、JasonMatache, BogdanMatsuura, YusukeMcAlinden, AudreyMcClure, MichaelMcCoy, AnnetteMcCullough, MatthewMcGee-Lawrence, MeghanMcKellop, HarryMcKinley, ToddMcNulty, AmyMediouni, MohamedMegahed, FadelM.Melkus,GerdMell,StevenMeng Wen,LiuMeyer,GretchenMichalek,ArthurMichalek,ArthurMienaltowski,MichaelMihalko,WilliamMiller,FreemanMiller,Ross H.Minetama, MasakazuMistry, ManishaMiyagi, MasayukiMiyagi, MasayukiMondal, HimelMoon, Hong JooMoore-Lotridge, StephanieMorellato, JohnMoriarty, ThomasMoriarty, ThomasMorris, WilliamMueller, John KyleMündermann、AnnegretMurphy,StephenMuszyński,SiemowitMuthukrishnan,GowrishankarNakagawa,YusukeNakahara,IchiroNakanishi,KazuyoshiNavacchia,AlessandroNehrer,StefanNeidlinger-Wilke,CorneliaNelson,BradNg,K.C.GeoffreyNichols,AnneNishida,KotaroNishitani,KoheiNishitani,KoheiNissi,MikkoNoble,PhilipNouri,AriaNuri,LeilaOBrien,CharlesOchiai,NobuyasuO'Connell,GraceO'Connor,J PatrickOdri,GuillaumeOestreich,ArinOh,IrvinOh,YotoOkuzu,YaichiroOlson,StevenA.Olstad、KristinOral、EbruOrellana、BryanOshita、YusukeOxland、ThomasÖzkan、KorhanPaglia、DavidPamukoff、DerekPanagiotis、TsagozisPandy、MarcusPark、Hyung BinPark、Yong-BeomPascual-Garrido、CeciliaPatel、JayPaterno、MarkPeiffer、MatthiasPetrigliano、FrankPezzanite、LynnPittman、JasonPoitras、StéphanePotter, HollisPowers, ChristopherPremnath, PriyathaQian, MengyuanQu, FeiniQuevedo Gonzalez, FernandoRaafat, DinaRai, Muhammad FarooqRaina, DeepakRankin, JeffreyRaskin, KevinRicchetti, EricRicciardi, BenjaminRoberts, HarryRoberts, MarkRobinson, JenniferRodeo, ScottRodriguez-Merchan, E. CarlosRoss, RyanRoth.CarlosRoss,Rya
{"title":"The Journal of Orthopaedic Research extends gratitude and recognition to the many scientists who contributed as peer reviewers between October 1, 2023 and September 30, 2024. Their efforts greatly improved not only individual manuscripts but the quality of the journal and overall research in the field of orthopaedics. They include:","authors":"","doi":"10.1002/jor.25997","DOIUrl":"10.1002/jor.25997","url":null,"abstract":"&lt;p&gt;Aaron, Roy&lt;/p&gt;&lt;p&gt;Abe, Shingo&lt;/p&gt;&lt;p&gt;Abraham, Adam&lt;/p&gt;&lt;p&gt;Ackland, David&lt;/p&gt;&lt;p&gt;Adam, Emma&lt;/p&gt;&lt;p&gt;Ahn, Jaimo&lt;/p&gt;&lt;p&gt;Ai Yuan, Wang&lt;/p&gt;&lt;p&gt;Aitken, Holly&lt;/p&gt;&lt;p&gt;Akgün, Doruk&lt;/p&gt;&lt;p&gt;Akkouch, Adil&lt;/p&gt;&lt;p&gt;Akkus, Ozan&lt;/p&gt;&lt;p&gt;Alenchery, Rahul&lt;/p&gt;&lt;p&gt;Alford, Andrea&lt;/p&gt;&lt;p&gt;Alford, Andrea&lt;/p&gt;&lt;p&gt;Alkalay, Ron&lt;/p&gt;&lt;p&gt;Almarza, Alejandro&lt;/p&gt;&lt;p&gt;Alsiri, Najla&lt;/p&gt;&lt;p&gt;Al-Zube, Loay&lt;/p&gt;&lt;p&gt;Amadio, Peter&lt;/p&gt;&lt;p&gt;Amanatullah, Derek&lt;/p&gt;&lt;p&gt;Amanatullah, Derek&lt;/p&gt;&lt;p&gt;Amrami, Kimberly&lt;/p&gt;&lt;p&gt;Anderson, Andrew E.&lt;/p&gt;&lt;p&gt;Anderson, Donald&lt;/p&gt;&lt;p&gt;Anderst, William&lt;/p&gt;&lt;p&gt;Andrysek, Jan&lt;/p&gt;&lt;p&gt;Angelelli, Lucia&lt;/p&gt;&lt;p&gt;Arena, Sara&lt;/p&gt;&lt;p&gt;Arnold, William&lt;/p&gt;&lt;p&gt;Arnold, William&lt;/p&gt;&lt;p&gt;Aro, Hannu&lt;/p&gt;&lt;p&gt;Asahara, Hiroshi&lt;/p&gt;&lt;p&gt;Astephen Wilson, Janie&lt;/p&gt;&lt;p&gt;Atasoy-Zeybek, Aysegul&lt;/p&gt;&lt;p&gt;Ateshian, Gerard&lt;/p&gt;&lt;p&gt;Atkins, Gerald&lt;/p&gt;&lt;p&gt;Attur, Mukundan&lt;/p&gt;&lt;p&gt;Audenaert, Emmanuel&lt;/p&gt;&lt;p&gt;Augat, Peter&lt;/p&gt;&lt;p&gt;Awad, Hani&lt;/p&gt;&lt;p&gt;Bacon, Kathy&lt;/p&gt;&lt;p&gt;Bafor, Anirejuoritse&lt;/p&gt;&lt;p&gt;Bahney, Chelsea&lt;/p&gt;&lt;p&gt;Bal, Zeynep&lt;/p&gt;&lt;p&gt;Barber, Lauren&lt;/p&gt;&lt;p&gt;Barcik, Jan&lt;/p&gt;&lt;p&gt;Barry, Frank&lt;/p&gt;&lt;p&gt;Bates, Nathaniel&lt;/p&gt;&lt;p&gt;Baxter, Josh&lt;/p&gt;&lt;p&gt;Beaulé, Paul&lt;/p&gt;&lt;p&gt;Beaulé, Paul&lt;/p&gt;&lt;p&gt;Beckers, Gautier&lt;/p&gt;&lt;p&gt;Bernstein, David&lt;/p&gt;&lt;p&gt;Bernthal, Nicholas&lt;/p&gt;&lt;p&gt;Bertolini, Gladson&lt;/p&gt;&lt;p&gt;Besier, Thor&lt;/p&gt;&lt;p&gt;Bey, Michael&lt;/p&gt;&lt;p&gt;Bian, Liming&lt;/p&gt;&lt;p&gt;Binder, Benjamin&lt;/p&gt;&lt;p&gt;Bischoff, Jeffrey&lt;/p&gt;&lt;p&gt;Bixby, Sarah D.&lt;/p&gt;&lt;p&gt;Blokhuis, Taco&lt;/p&gt;&lt;p&gt;Boden, Scott&lt;/p&gt;&lt;p&gt;Bonassar, Lawrence&lt;/p&gt;&lt;p&gt;Bonnheim, Noah&lt;/p&gt;&lt;p&gt;Bontempi, Marco&lt;/p&gt;&lt;p&gt;Bottlang, Michael&lt;/p&gt;&lt;p&gt;Boughton, Oliver&lt;/p&gt;&lt;p&gt;Boyd, Steven&lt;/p&gt;&lt;p&gt;Braun, John&lt;/p&gt;&lt;p&gt;Brophy, Robert&lt;/p&gt;&lt;p&gt;Bruce Leicht, Amelia&lt;/p&gt;&lt;p&gt;Buck, Ashley&lt;/p&gt;&lt;p&gt;Buckley, Mark&lt;/p&gt;&lt;p&gt;Bumgardner, Joel&lt;/p&gt;&lt;p&gt;Burkhart, Timothy&lt;/p&gt;&lt;p&gt;Burssens, Arne&lt;/p&gt;&lt;p&gt;Byrd, J. W. Thomas&lt;/p&gt;&lt;p&gt;Cai, Aijia&lt;/p&gt;&lt;p&gt;Cain, Jarrett D.&lt;/p&gt;&lt;p&gt;Calafiore, Dario&lt;/p&gt;&lt;p&gt;Callary, Stuart&lt;/p&gt;&lt;p&gt;Cao, Chike&lt;/p&gt;&lt;p&gt;Cardozo, Christopher P.&lt;/p&gt;&lt;p&gt;Carli, Alberto V.&lt;/p&gt;&lt;p&gt;Carlson, Cathy&lt;/p&gt;&lt;p&gt;Carpenter, Dana&lt;/p&gt;&lt;p&gt;Carroll, Chad&lt;/p&gt;&lt;p&gt;Catelas, Isabelle&lt;/p&gt;&lt;p&gt;Chang, Joan&lt;/p&gt;&lt;p&gt;Chao, Grace&lt;/p&gt;&lt;p&gt;Chappard, Christine&lt;/p&gt;&lt;p&gt;Chen, Antonia&lt;/p&gt;&lt;p&gt;Chen, Antonia&lt;/p&gt;&lt;p&gt;Chen, Bin&lt;/p&gt;&lt;p&gt;Chen, Tony&lt;/p&gt;&lt;p&gt;Chen, Zhihao&lt;/p&gt;&lt;p&gt;Chen, Weiheng&lt;/p&gt;&lt;p&gt;Chen, Chung-Hwan&lt;/p&gt;&lt;p&gt;Chen, Szu-Fu&lt;/p&gt;&lt;p&gt;Chen, Zhenxian&lt;/p&gt;&lt;p&gt;Cheng, Boyle&lt;/p&gt;&lt;p&gt;Chisari, Emanuele&lt;/p&gt;&lt;p&gt;Chiu, Yung-Cheng&lt;/p&gt;&lt;p&gt;Cho, Woojin&lt;/p&gt;&lt;p&gt;Choe, Hyonmin&lt;/p&gt;&lt;p&gt;Choe, Hyonmin&lt;/p&gt;&lt;p&gt;Chougule, Amit&lt;/p&gt;&lt;p&gt;Chow, Simon&lt;/p&gt;&lt;p&gt;Christ, Alexander&lt;/p&gt;&lt;p&gt;Christiansen, Blaine&lt;/p&gt;&lt;p&gt;Citters, Douglas Van&lt;/p&gt;&lt;p&gt;Ciufo, David&lt;/p&gt;&lt;p&gt;Clark, J. David&lt;/p&gt;&lt;p&gt;Clouthier, Allison&lt;/p&gt;&lt;p&gt;Cnudde, Peter&lt;/p&gt;&lt;p&gt;Cobian, Daniel&lt;/p&gt;&lt;p&gt;Colbath, Aimee&lt;/p&gt;&lt;p&gt;Cole, C.&lt;/p&gt;&lt;p&gt;Coleman, Mitchell&lt;/p&gt;&lt;p&gt;Coleman, Rhima&lt;/p&gt;&lt;p&gt;Collier, Christopher&lt;/p&gt;&lt;p&gt;Collins, Kelsey&lt;/p&gt;&lt;p&gt;Connizzo, Brianne&lt;/p&gt;&lt;p&gt;Cook, James L.&lt;/p&gt;&lt;p&gt;Cook, James&lt;/p&gt;&lt;p&gt;Cooper, David&lt;/p&gt;&lt;p&gt;Corino, Valentina&lt;/p&gt;&lt;p&gt;Corr, David&lt;/p&gt;&lt;p&gt;Couppe, Christian&lt;/p&gt;&lt;p&gt;Creemers, Laura&lt;/p&gt;&lt;p&gt;Crisco, Joseph&lt;/p&gt;&lt;p&gt;Cui, Quanjun (Trey)&lt;/p&gt;&lt;p&gt;Curreli, Cristina&lt;/p&gt;&lt;p&gt;Dai, Boyi&lt;/p&gt;&lt;p&gt;Dailey, Hannah&lt;/p&gt;&lt;p&gt;Daiss, John&lt;/p&gt;&lt;p&gt;Dakin, Stephanie&lt;/p&gt;&lt;p&gt;Dar, Ayelet&lt;/p&gt;&lt;p&gt;De Marco, Giacomo&lt;/p&gt;&lt;p&gt;DeFrate","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":"42 12","pages":"2863-2866"},"PeriodicalIF":2.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jor.25997","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142621250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Issue Information - Cover 发行信息 - 封面
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-12 DOI: 10.1002/jor.25623
{"title":"Issue Information - Cover","authors":"","doi":"10.1002/jor.25623","DOIUrl":"https://doi.org/10.1002/jor.25623","url":null,"abstract":"","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":"42 12","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jor.25623","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of effects of intra-articular diclofenac etalhyaluronate and hyaluronic acid in a monoiodoacetate rat osteoarthritis model 在单碘乙酸大鼠骨关节炎模型中比较关节内双氯芬酸乙醛酸盐和透明质酸的作用。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-11 DOI: 10.1002/jor.26012
Soichiro Tokeshi, Miyako Suzuki-Narita, Ikuko Tajiri, Kazuhide Inage, Jun Takeuchi, Takahito Arai, Yuya Kawarai, Hiroakira Terakawa, Seiji Ohtori, Sumihisa Orita

Diclofenac etalhyaluronate (DF-HA) sustained diclofenac release with the effects of hyaluronic acid (HA), offering long-term analgesia in osteoarthritis. In this study, the effects of DF-HA on pain improvement and osteoarthritis were evaluated in a rat knee monoiodoacetate-induced osteoarthritis model compared to HA. Eight rats per group had been injected with monoiodoacetate (2.0 mg) or saline in the right knee for 4 weeks and were injected with either DF-HA (1.25 mg/kg; 0.5 mg), HA (0.5 mg), vehicle which was a substrate without DF-HA (50 μL), or saline and followed for 4 weeks. Mechanical plantar skin sensitivity was assessed weekly using the von Frey assay. Osteoarthritis changes were monitored with Larsen scores via CT imaging at every 2 weeks. The articular cartilage was analyzed using OARSI scores through H&E, Safranin-O staining at 8 weeks. The percentage of Iba-1 positive microglia in the spinal dorsal horn and of FG + CGRP-labeled cells among FG-positive cells in the dorsal root ganglion were evaluated by immunohistochemical staining. TNF-α and IL-6 mRNA expression levels in the knee synovium were evaluated by PCR. The DF-HA showed significantly improved pain hypersensitivity compared with the HA at 6–8 weeks. The percentage of Iba-1-positive microglia was significantly lower than that in the vehicle and the percentage of FG + CGRP/FG was significantly lower than that in the HA. OARSI scores did not differ among treatment groups, Larsen scores indicated lower in the DF-HA than in the vehicle. DF-HA was as effective as HA in joint protection and significantly improved inflammatory pain compared to HA.

双氯芬酸乙醛uronate(DF-HA)可在透明质酸(HA)的作用下持续释放双氯芬酸,从而为骨关节炎提供长期镇痛效果。本研究在大鼠膝关节单碘乙酸盐诱导的骨关节炎模型中评估了 DF-HA 与 HA 相比对疼痛改善和骨关节炎的影响。每组 8 只大鼠右膝盖注射单碘乙酸盐(2.0 毫克)或生理盐水 4 周,然后分别注射 DF-HA(1.25 毫克/千克;0.5 毫克)、HA(0.5 毫克)、不含 DF-HA 的基质载体(50 μL)或生理盐水 4 周。每周使用 von Frey 试验评估机械性足底皮肤敏感性。每两周通过 CT 成像用 Larsen 评分监测骨关节炎的变化。8周时,通过H&E和Safranin-O染色,使用OARSI评分对关节软骨进行分析。免疫组化染色法评估了脊髓背角 Iba-1 阳性小胶质细胞的百分比和背根神经节 FG 阳性细胞中 FG + CGRP 标记细胞的百分比。通过 PCR 评估了膝关节滑膜中 TNF-α 和 IL-6 mRNA 的表达水平。6-8周后,DF-HA与HA相比,痛觉过敏性明显改善。Iba-1阳性小胶质细胞的比例明显低于药物,FG + CGRP/FG的比例明显低于HA。各治疗组的 OARSI 评分无差异,DF-HA 治疗组的 Larsen 评分低于药物治疗组。与 HA 相比,DF-HA 在保护关节方面与 HA 同样有效,并能明显改善炎症性疼痛。
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引用次数: 0
Prognostic bone fracture healing simulations in an ovine tibia model validated with in vivo sensors 利用活体传感器验证绵羊胫骨模型的骨折愈合预后模拟。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-09 DOI: 10.1002/jor.26007
Peter Schwarzenberg, Jérôme Schlatter, Manuela Ernst, Markus Windolf, Hannah L. Dailey, Peter Varga

Bone fracture healing is a complex physiological process influenced by biomechanical and biomolecular factors. Mechanical stability is crucial for successful healing, and disruptions can lead to delayed healing or nonunion. Bone commonly heals itself through secondary fracture healing, which is governed by the mechanical strain at the fracture site. To investigate these phenomena, a validated methodology for capturing the mechanoregulatory process in specimen-specific models of fracture healing could provide insight into the healing process. This study implemented a prognostic healing simulation framework to predict healing trajectories based on mechanical stimuli. Sixteen sheep were subjected to a 3 mm transverse tibial mid-shaft osteotomy, stabilized with a custom plate, and equipped with displacement transducer sensors to measure interfragmentary motion over 8 weeks. Computed tomography scans were used to create specimen-specific bone geometries for finite element analysis. Virtual mechanical testing was performed iteratively to calculate strains in the callus region, which guided tissue differentiation and consequently, healing. The predicted healing outcomes were compared to continuous in vivo sensor data, providing a unique validation data set. Healing times derived from the in vivo sensor and in silico sensor showed no significant differences, suggesting the potential for these predictive models to inform clinical assessments and improve nonunion risk evaluations. This study represents a crucial step towards establishing trustworthy computational models of bone healing and translating these to the preclinical and clinical setting, enhancing our understanding of fracture healing mechanisms.

Clinical significance: Prognostic bone fracture healing simulation could assist in non-union diagnosis and prediction.

骨折愈合是一个复杂的生理过程,受到生物力学和生物分子因素的影响。机械稳定性是成功愈合的关键,中断可导致延迟愈合或不愈合。骨骼通常通过继发性骨折愈合进行自愈,而继发性骨折愈合受骨折部位机械应变的影响。为了研究这些现象,在骨折愈合的特异性标本模型中捕捉机械调节过程的有效方法可以让我们深入了解愈合过程。本研究采用预后愈合模拟框架,根据机械刺激预测愈合轨迹。16 只绵羊接受了 3 毫米横向胫骨中轴截骨术,用定制钢板进行了稳定,并配备了位移传感器来测量 8 周内的节段间运动。计算机断层扫描用于创建用于有限元分析的标本特定骨骼几何图形。通过反复进行虚拟机械测试来计算胼胝体区域的应变,从而指导组织分化,进而促进愈合。预测的愈合结果与连续的体内传感器数据进行了比较,从而提供了一个独特的验证数据集。体内传感器和硅学传感器得出的愈合时间没有明显差异,这表明这些预测模型有可能为临床评估提供信息,并改善非骨连接风险评估。这项研究是建立值得信赖的骨愈合计算模型并将其应用于临床前和临床环境的关键一步,有助于加深我们对骨折愈合机制的理解。临床意义:预后性骨折愈合模拟可帮助诊断和预测骨折不愈合。
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引用次数: 0
Bioengineered lubricin alters the lubrication modes of cartilage in a dose-dependent manner 生物工程润滑素以剂量依赖的方式改变软骨的润滑模式。
IF 2.1 3区 医学 Q2 ORTHOPEDICS Pub Date : 2024-11-09 DOI: 10.1002/jor.26009
Karan Vishwanath, Jin Su, Marshall J. Colville, Matthew Paszek, Heidi L. Reesink, Lawrence J. Bonassar

The low friction nature of articular cartilage has been attributed to the synergistic interaction between lubricin and hyaluronic acid in the synovial fluid (SF). Lubricin is a mucinous glycoprotein that lowers the boundary mode coefficient of friction of articular cartilage in a dose-dependent manner. While there have been multiple attempts to produce recombinant lubricin and lubricin mimetic cartilage lubricants over the last two decades, these materials have not found clinical use due to challenges associated with large scale production, manufacturing, and purification. Recently, a novel method using codon scrambling was developed to produce a stable, full-length bioengineered equine lubricin (eLub) in large reproducible quantities. While preliminary frictional analysis of eLub and other recombinantly produced forms revealed they can lubricate cartilage, a complete tribological characterization is lacking, with previous studies evaluating the friction coefficient only at a single dose or a single speed. The objective of this study was to analyze the dose-dependent tribological properties of eLub using the Stribeck framework of tribological analysis. Recombinantly produced eLub at doses greater than 1.5 mg/mL exhibits friction coefficients on par with healthy bovine SF, and a maximal 5 mg/mL dose exhibits a nearly 50% lower friction coefficient than healthy SF. eLub also modulates the shift in lubrication mode of the cartilage from the high friction boundary mode to the low friction minimum mode at high concentrations.

关节软骨的低摩擦性归因于滑液(SF)中的润滑蛋白和透明质酸之间的协同作用。润滑素是一种粘液糖蛋白,能以剂量依赖性方式降低关节软骨的边界摩擦系数。在过去的二十年里,人们曾多次尝试生产重组润滑蛋白和润滑蛋白模拟软骨润滑剂,但由于大规模生产、制造和纯化方面的挑战,这些材料一直未能应用于临床。最近,一种使用密码子扰乱的新方法被开发出来,用于大量生产稳定的全长生物工程马润滑蛋白(eLub)。虽然对 eLub 和其他重组生产的形式进行的初步摩擦分析表明它们可以润滑软骨,但缺乏完整的摩擦学特征描述,以往的研究仅评估了单一剂量或单一速度下的摩擦系数。本研究的目的是利用斯特里贝克摩擦学分析框架来分析 eLub 随剂量变化的摩擦学特性。重组生产的eLub在剂量大于1.5毫克/毫升时的摩擦系数与健康牛SF相当,最大剂量为5毫克/毫升时的摩擦系数比健康SF低近50%。
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引用次数: 0
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Journal of Orthopaedic Research®
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