Repair of a wide lower extremity defect with cross-leg free transfer of latissimus dorsi and serratus anterior combined flap: a case report

Composite tissue loss in extremities involving neurovascular structures has been a major challenge for reconstructive surgeons. Reconstruction of large defects can only be achieved with microsurgical procedures. The success of free flap operations depends on the presence of healthy recipient vessels. In cases with no suitable donor artery and vein or in which even the use of vein grafts would not be feasible, the lower limb can be salvaged with a cross-leg free flap procedure. We present a case with a large composite tissue loss that was reconstructed with cross-leg free transfer of a combined latissimus dorsi and serratus anterior muscle flap. This case indicates that this large muscle flap can survive with the cross-leg free flap method and this technique may be a viable alternative for large lower extremity defects that have no reliable recipient artery

Metaproteogenomic analysis of saliva samples from Parkinson's disease patients with cognitive impairment

Cognitive impairment (CI) is very common in patients with Parkinson's Disease (PD) and progressively develops on a spectrum from mild cognitive impairment (PD-MCI) to full dementia (PDD). Identification of PD patients at risk of developing cognitive decline, therefore, is unmet need in the clinic to manage the disease. Previous studies reported that oral microbiota of PD patients was altered even at early stages and poor oral hygiene is associated with dementia. However, data from single modalities are often unable to explain complex chronic diseases in the brain and cannot reliably predict the risk of disease progression. Here, we performed integrative metaproteogenomic characterization of salivary microbiota and tested the hypothesis that biological molecules of saliva and saliva microbiota dynamically shift in association with the progression of cognitive decline and harbor discriminatory key signatures across the spectrum of CI in PD. We recruited a cohort of 115 participants in a multi-center study and employed multi-omics factor analysis (MOFA) to integrate amplicon sequencing and metaproteomic analysis to identify signature taxa and proteins in saliva. Our baseline analyses revealed contrasting interplay between the genus Neisseria and Lactobacillus and Ligilactobacillus genera across the spectrum of CI. The group specific signature profiles enabled us to identify bacterial genera and protein groups associated with CI stages in PD. Our study describes compositional dynamics of saliva across the spectrum of CI in PD and paves the way for developing non-invasive biomarker strategies to predict the risk of CI progression in PD.FEMS Research and Training Gran