Advancing treatment strategies for posterior malleolar malunion: The ankle dislocation method.

BACKGROUND: This study aimed to assess the radiological and clinical outcomes of treatment using the ankle dislocation method for posterior malleolar malunion. METHOD: Thirty-one patients with posterior malleolar malunion who underwent treatment using the ankle dislocation method from May 2015 to October 2021 were retrospectively analyzed. Key outcome measures were radiographic parameters (articular step-off, tibiofibular clear space, fibular length, tibial lateral surface angle, and ankle osteoarthritis), clinical scores (American Orthopaedic Foot and Ankle Society ankle-hindfoot scale and Visual Analogue Scale), and patient satisfaction rate. RESULT: Preoperative computed tomography revealed that Bartoní cek types 3 and 4 accounted for 64.5 % (n = 20) of total cases. Most posterior malleolar malunions were accompanied by depressed intercalary fragments (61.2 % [n = 19]). At the final follow-up, radiographic parameters and clinical scores showed significant improvements postoperatively (P < 0.05), with a high patient satisfaction rate of 77.4 %. Subgroup analysis revealed that the posterior malleolar fracture morphology significantly affected postoperative pain, particularly in more complex fractures (P < 0.001). CONCLUSION: The ankle dislocation method effectively exposes the distal tibial articular surface and facilitates the anatomical restoration of joint congruity under direct vision. This approach substantially improves the clinical and imaging outcomes in patients with complex posterior malleolar malunion. LEVELS OF EVIDENCE: Level IV, retrospective case series.

PDZK1 suppresses TNBC development and sensitizes TNBC cells to erlotinib via the EGFR pathway.

Epidermal growth factor receptor (EGFR)-targeted drugs (erlotinib, etc.) are used to treat multiple types of tumours. EGFR is highly expressed in most triple-negative breast cancer (TNBC) patients. However, only a small proportion of TNBC patients benefit from EGFR-targeted drugs in clinical trials, and the resistance mechanism is unclear. Here, we found that PDZ domain containing 1 (PDZK1) is downregulated in erlotinib-resistant TNBC cells, suggesting that PDZK1 downregulation is related to erlotinib resistance in TNBC. PDZK1 binds to EGFR. Through this interaction, PDZK1 promotes EGFR degradation by enhancing the binding of EGFR to c-Cbl and inhibits EGFR phosphorylation by hindering EGFR dimerisation. We also found that PDZK1 is specifically downregulated in TNBC tissues and correlated with a poor prognosis in TNBC patients. In vitro and in vivo functional assays showed that PDZK1 suppressed TNBC development. Restoration of EGFR expression or kinase inhibitor treatment reversed the degree of cell malignancy induced by PDZK1 overexpression or knockdown, respectively. PDZK1 overexpression sensitised TNBC cells to erlotinib both in vitro and in vivo. In conclusion, PDZK1 is a significant prognostic factor for TNBC and a potential molecular therapeutic target for reversing erlotinib resistance in TNBC cells.

Müller-Weiss Disease: Midfoot Arthrodesis in Reduction vs Malreduction.

BACKGROUND: Midfoot arthrodesis is regarded as the main surgical approach for treating Müller-Weiss disease (MWD). This study aimed to investigate the incidence of postoperative pain during MWD treatment through midfoot reduction or malreduction during arthrodesis and to explore the factors influencing postoperative pain in patients with MWD. METHODS: A total of 67 patients with MWD were recruited and divided into two groups according to whether midfoot alignment was reduced: reduction group (n = 38) and malreduction group (n = 29). Demographic characteristics before the operation and at the last follow-up, as well as clinical and radiographic parameters, were compared between the two groups. Clinical parameters included the American Orthopaedic Foot & Ankle Society score and visual analog scale score, whereas radiographic parameters included the calcaneal pitch angle, lateral Meary's angle, talometatarsal-1 angle dorsoplantar (TMT1dp), talocalcaneal angle dorsoplantar (Kite angle), talonavicular coverage angle, and medial navicular pole extrusion. Postoperative complications and incidence of midfoot pain were evaluated at the last follow-up visit. RESULTS: The reduction group exhibited better clinical and radiological parameters, including the TMT1dp and medial navicular pole extrusion, than the malreduction group at the last follow-up (all P < .05). However, the calcaneal pitch angle, lateral Meary's angle, Kite angle, and talonavicular coverage angle did not significantly differ between the two groups (all P > .05). The overall incidence of midfoot pain was 26.4%. The reduction group showed a lower incidence of medial pain than the malreduction group (15.7% vs. 40.0%, P < .05). Regression analysis revealed that midfoot abduction, represented by the TMT1dp, was a critical factor for midfoot arthrodesis failure and that medial navicular pole extrusion was not correlated with postoperative midfoot pain. CONCLUSION: Midfoot reduction arthrodesis yields better clinical outcomes than malreduction arthrodesis. The TMT1dp, representing midfoot abduction, is a key factor for midfoot arthrodesis failure. The extruded medial navicular bone may not affect postoperative medial midfoot pain. LEVEL OF EVIDENCE: Level III, retrospective comparative study.

AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding.

Protein function annotation has been one of the longstanding issues in biological sciences, and various computational methods have been developed. However, the existing methods suffer from a serious long-tail problem, with a large number of GO families containing few annotated proteins. Herein, an innovative strategy named AnnoPRO was therefore constructed by enabling sequence-based multi-scale protein representation, dual-path protein encoding using pre-training, and function annotation by long short-term memory-based decoding. A variety of case studies based on different benchmarks were conducted, which confirmed the superior performance of AnnoPRO among available methods. Source code and models have been made freely available at: https://github.com/idrblab/AnnoPRO and https://zenodo.org/records/10012272.

MoDAFold: a strategy for predicting the structure of missense mutant protein based on AlphaFold2 and molecular dynamics.

Protein structure prediction is a longstanding issue crucial for identifying new drug targets and providing a mechanistic understanding of protein functions. To enhance the progress in this field, a spectrum of computational methodologies has been cultivated. AlphaFold2 has exhibited exceptional precision in predicting wild-type protein structures, with performance exceeding that of other methods. However, predicting the structures of missense mutant proteins using AlphaFold2 remains challenging due to the intricate and substantial structural alterations caused by minor sequence variations in the mutant proteins. Molecular dynamics (MD) has been validated for precisely capturing changes in amino acid interactions attributed to protein mutations. Therefore, for the first time, a strategy entitled 'MoDAFold' was proposed to improve the accuracy and reliability of missense mutant protein structure prediction by combining AlphaFold2 with MD. Multiple case studies have confirmed the superior performance of MoDAFold compared to other methods, particularly AlphaFold2.

MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery.

In the context of precision medicine, multiomics data integration provides a comprehensive understanding of underlying biological processes and is critical for disease diagnosis and biomarker discovery. One commonly used integration method is early integration through concatenation of multiple dimensionally reduced omics matrices due to its simplicity and ease of implementation. However, this approach is seriously limited by information loss and lack of latent feature interaction. Herein, a novel multiomics early integration framework (MOINER) based on information enhancement and image representation learning is thus presented to address the challenges. MOINER employs the self-attention mechanism to capture the intrinsic correlations of omics-features, which make it significantly outperform the existing state-of-the-art methods for multiomics data integration. Moreover, visualizing the attention embedding and identifying potential biomarkers offer interpretable insights into the prediction results. All source codes and model for MOINER are freely available https://github.com/idrblab/MOINER.