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Lymph node (LN) lipomatosis is a common but rarely discussed phenomenon associated with aging that involves a gradual exchange of the LN parenchyma into adipose tissue. The mechanisms behind these changes and the effects on the LN are unknown. We show that LN lipomatosis starts in the medullary regions of the human LN and link the initiation of lipomatosis to transdifferentiation of LN fibroblasts into adipocytes. The latter is associated with a downregulation of lymphotoxin beta expression. We also show that isolated medullary and CD34+ fibroblasts, in contrast to the reticular cells of the T-cell zone, display an inherently higher sensitivity for adipogenesis. Progression of lipomatosis leads to a gradual loss of the medullary lymphatic network, but at later stages, collecting-like lymphatic vessels are found inside the adipose tissue. The stromal dysregulation includes a dramatic remodeling and dilation of the high endothelial venules associated with reduced density of naïve T-cells. Abnormal clustering of plasma cells is also observed. Thus, LN lipomatosis causes widespread stromal dysfunction with consequences for the immune contexture of the human LN. Our data warrant an increased awareness of LN lipomatosis as a factor contributing to decreased immune functions in the elderly and in disease. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Aim To explore the experiences of sexual health and intimate relationships in women with lipedema. Design A qualitative interview study. Methods Sixteen women with lipedema recruited from a national lipedema association group in Sweden participated. Data were collected between October 2023 and February 2024 and analysed using content analysis. Results Four main categories were identified. Being burdened by body shame highlighted the women's body dissatisfaction, difficulties in self-acceptance and shame when being naked in front of their partners. Being hindered by an aching and heavy body captured the experiences of bodily pain and heaviness in intimate situations. Being torn between desire and avoidance revealed that the women longed for intimacy but adopted different strategies to avoid it. Being affected by what is said and what is left unsaid showed the role of the partner's approach as well as the strain of not discussing sexual problems with partners or healthcare providers. Conclusion Women with lipedema experience physical, psychological and relational challenges in sexual life and intimacy. Still, these challenges remain unaddressed in healthcare settings. Implications for the Profession and Patient Care Nurses and midwives should, in their unique role in encountering women throughout their lifespans, address and invite dialogues on sexual-related concerns of women affected by lipedema. Impact The study findings provide insights into how lipedema affects women's sexual health and intimate relationships and offer new knowledge that can be applied when planning targeted interventions to promote the sexual health and well-being of women with lipedema. Reporting Method Adherence to the EQUATOR guidelines and COREQ checklist. Patient or Public Contribution Two patient representatives from a lipedema association group contributed to this study by distributing study information to their members.

Background: Lipedema is a chronic disorder characterized by symmetrical and disproportionate fat accumulation, pain, and easy bruising, often resistant to conventional treatments. Functional dysmetria (FD), a maladaptive neuromotor response linked to epigenetic stress, has been proposed as a relevant contributor to pain in lipedema., Objective: This retrospective observational study aimed to evaluate whether correcting FD through the radioelectric asymmetric conveyer (REAC) technology Neuropostural Optimization (NPO) protocol can reduce pain in patients with lipedema, using a sham-controlled design., Methods: In this retrospective observational study, 83 consecutive women with stage 2-5 lipedema underwent both sham and real NPO procedures during a single session. Pain intensity was measured using the visual analog scale (VAS) immediately after each procedure. Statistical analyses were performed using paired t-tests with effect sizes (Cohen’s dz) and 95% confidence intervals., Results: Baseline pain was uniformly high (mean 7.41 ± 0.53), with some pre-sham values reaching 10/10. Pain reduction was observed exclusively after real NPO and not after sham. Sham NPO induced no significant changes, whereas real NPO yielded a mean pain reduction exceeding 3.5 VAS points across all stages (mean change -3.65 ± 0.62; 95% CI: -3.79 to -3.51; Cohen’s dz = 5.88, 95% CI: 4.85-6.92; p < 0.0001)., Conclusions: These findings suggest that correction of FD by REAC NPO provides rapid and clinically meaningful analgesic effects in lipedema patients, addressing an upstream neuropsychomotor dysfunction that may contribute to disease progression. However, given the retrospective single-center design and absence of long-term follow-up, these conclusions are limited to the short-term effects observed. Further multicenter and longitudinal studies are warranted to confirm these results and evaluate long-term outcomes.

Objective: Lipedema, a chronic disorder of subcutaneous adipose tissue, is common yet often overlooked in clinical practice and frequently mistaken for obesity. Ultrasonographic (US) imaging methods beyond clinical examination have not been sufficiently studied in the differential diagnosis. The aim of this study is to investigate whether quantitative, AI‑assisted radiomics analysis of lower‑limb US images adds diagnostic value for lipedema. Methods: The study included ultrasonographic scans from four women with clinically confirmed lipedema and four age-matched women with obesity (BMI ≥ 30 kg/m²) referred to Dokuz Eylül University, Faculty of Medicine, Department of Physical Therapy and Rehabilitation outpatient clinic with suspected lipedema. All examinations were performed in the outpatient musculoskeletal US unit by an experienced radiologist. Using fixed depth, sector width and gain settings, eight images per leg were obtained at four standardised sites (2): mid‑anterior thigh, pretibial mid‑shaft, mid‑lateral leg, and medial supramalleolar region (Fig. 1). Also dermal and subcutaneous thicknesses were recorded. The optimal image area (region of interest = ROI) was labeled in these retrospective images, and radiomics analysis (tissue texture) was performed in the system. For this purpose, the LIFEx program (www.lifexsoft.org) was used. With this method, various pattern features were extracted from the determined ROIs. Dimensionality reduction techniques such as feature selection or Principal Component Analysis (PCA) were used to reduce the data size, which increased with the extracted features. The resulting dataset was analyzed for clinically significant results in images with lipedema. Given the small sample (n = 4 per group), group differences were evaluated with an independent‑samples t‑test using sample bootstrapping (100 resamples). Results: Radiomics features were compared between groups using a bootstrapped t-test. Within the intensity‑based category, Mean Intensity (p < 0.001) and Intensity Skewness (p = 0.01) differed significantly between lipedema and obesity images. From the grey‑level co‑occurrence matrix (GLCM), both Contrast (p < 0.001) and Dissimilarity (p = 0.02) showed significant difference. In addition, the grey‑level run‑length matrix (GLRLM) feature High Grey Level (p = 0.003) and the grey‑level size‑zone matrix (GLSZM) feature Grey Level Variance (p = 0.03) were statistically distinct between groups. No statistically significant differences were detected in dermal or subcutaneous thicknesses, except for dermis thickness at site A on the right limb, which reached significance (p = 0.04). Conclusion: This preliminary study suggests that quantitative ultrasonographic analysis enhanced by artificial intelligence–based radiomics may provide supportive diagnostic value in distinguishing lipedema from obesity. Larger-scale studies are needed to validate these preliminary findings. Keywords: Lipedema, Obesity, Radiomics Analysis, Artificial Intelligence