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Cartilage has a limited intrinsic healing capacity. Hence, cartilage degradation and lesions pose a huge clinical challenge, particularly in an ageing society. Osteoarthritis impacts a significant number of the population and requires the development of repair and tissue engineering methods for hyaline articular cartilage. In this context, electrical stimulation has been investigated for more than 50 years already. Yet, no well-established clinical therapy to treat osteoarthritis by means of electrical stimulation exists. We argue that one reason is the lack of replicability of electrical stimulation devices from a technical perspective together with lacking hypotheses of the biophysical mechanism. Hence, first, the electrical stimulation studies reported in the context of cartilage tissue engineering with a special focus on technical details are summarized. Then, an experimental and numerical approach is discussed to make the electrical stimulation experiments replicable. Finally, biophysical hypotheses have been reviewed on the interaction of electric fields and cells that are relevant for cartilage tissue engineering. With that, the aim is to inspire future research to enable clinical electrical stimulation therapies to fight osteoarthritis., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author(s).)

Introduction: The primary objective of this study was to evaluate the baseline characteristics of Lynch syndrome (LS). Furthermore, the study aimed to evaluate overall survival (OS) among patients with LS., Materials and Methods: This was a retrospective study of colorectal cancer patients registered from January 2010 to August 2020 with an immunohistochemical diagnosis of LS., Results: A total of 42 patients were assessed. The mean age at presentation was 44 years, with male predominance (78%). Demographic preponderance was from the North of Pakistan (52.4%). The family history was positive in 32 (76.2%) patients. The colonic cancer distribution was 32 (76.2%) on the right side. Most of the patients presented with Stage II disease (52.4%), and the common mutations were MLH1 + PMS2 16 (38.1%) followed by MSH2 + MSH6 9 (21.4%). The 10-year OS was found to be 88.1%. However, the OS was 100% post pancolectomy., Conclusion: LS is prevalent in the Pakistan population, especially in the North of Pakistan. Clinical presentation and survivals are similar to the Western population., Competing Interests: The authors declare that there are no conflicts of interest., (Copyright: © 2023 khan, et al.)

Background: Cancer patients, particularly those on active anticancer treatment, are reportedly at a high risk of severe coronavirus disease 2019 (COVID-19) infection and death. This study aimed to describe the clinical characteristics and outcomes of patients diagnosed with COVID-19 whilst on anticancer treatment in a developing country., Methods: This is a retrospective observational study of all adult cancer patients at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Pakistan, from March 15, 2020 to July 10, 2020, diagnosed with COVID-19 within 4 weeks of receiving anticancer treatment, where a purposive sampling was performed. Cancer patients who did not receive anticancer treatment and clinical or radiological diagnosis of COVID-19 without a positive reverse transcription-polymerase chain reaction (RT-PCR) test were excluded. The primary endpoint was all-cause mortality after 30 days of COVID-19 test. Data was analyzed with SPSS version 23 (SPSS Inc., Chicago, IL, USA). Categorical parameters were computed using chi-square test, keeping p value < 0.05 as significant., Results: A total of 201 cancer patients with COVID-19 were analyzed. The median age of patients was 45 (18-78) years. Mild symptoms were present in 162 (80.6%) patients, whereas severe symptoms were present in 39 (19.4%) patients. The risk of death was statistically significant (p < .05) amongst patients with age greater than 50 years, metastatic disease, and ongoing palliative anticancer treatment. Anticancer treatment (chemotherapy, radiotherapy, hormonal therapy, targeted therapy, and surgery) received within preceding 4 weeks had no statistically significant (p > .05) impact on mortality., Conclusions: In cancer patients with COVID-19, mortality appears to be principally driven by age, advanced stage of the disease, and palliative intent of cancer treatment. We did not identify evidence that cancer patients on chemotherapy are at significant risk of mortality from COVID-19 correlating to those not on chemotherapy., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 King Faisal Specialist Hospital & Research Centre. Published by Elsevier Ltd. All rights reserved.)

Background and Objective: The self-repair capability of articular cartilage is limited because of non-vascularization and low turnover of its extracellular matrix. Regenerating hyaline cartilage remains a significant clinical challenge as most non-surgical and surgical treatments provide only mid-term relief. Eventually, further pain and mobility loss occur for many patients in the long run due to further joint deterioration. Repair of articular cartilage tissue using electroactive scaffolds and biophysical stimuli like electrical and osmotic stimulation may have the potential to heal cartilage defects occurring due to trauma, osteoarthritis, or sport-related injuries. Therefore, the focus of the current study is to present a computational model of electroactive hydrogels for the cartilage-tissue repair as a first step towards an optimized experimental design., Methods: The multiphysics transport model that mainly includes the Poisson-Nernst-Planck equations and the mechanical equation is used to find the electrical stimulation response of the polyelectrolyte hydrogels. Based upon this, a numerical model on electromechanics of electroactive hydrogels seeded with chondrocytes is presented employing the open-source software FEniCS, which is a Python library for finite-element analysis., Results: We analyzed the ionic concentrations and electric potential in a hydrogel sample and the cell culture medium, the osmotic pressure created due to ionic concentration variations and the resulting hydrogel displacement. The proposed mathematical model was validated with examples from literature., Conclusions: The presented model for the electrical and osmotic stimulation of a hydrogel sample can serve as a useful tool for the development and analysis of a cartilaginous scaffold employing electrical stimulation. By analyzing various parameters, we pave the way for future research on a finer scale using open-source software., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.)

The intrinsic regeneration potential of hyaline cartilage is highly limited due to the absence of blood vessels, lymphatics, and nerves, as well as a low cell turnover within the tissue. Despite various advancements in the field of regenerative medicine, it remains a challenge to remedy articular cartilage defects resulting from trauma, aging, or osteoarthritis. Among various approaches, tissue engineering using tailored electroactive scaffolds has evolved as a promising strategy to repair damaged cartilage tissue. In this approach, hydrogel scaffolds are used as artificial extracellular matrices, and electric stimulation is applied to facilitate proliferation, differentiation, and cell growth at the defect site. In this regard, we present a simulation model of electroactive hydrogels to be used for cartilage-tissue engineering employing open-source finite-element software FEniCS together with a Python interface. The proposed mathematical formulation was first validated with an example from the literature. Then, we computed the effect of electric stimulation on a circular hydrogel sample that served as a model for a cartilage-repair implant.

Impact Statement: The presented research summarizes the basic models with mathematical description regarding electrical behavior of the cartilage tissue. A preliminary numerical study involving electromechanical transduction in bovine cartilage tissue sample has been carried out using an open source finite element software. This research will provide scope for future research regarding electrical behavior of the cartilage tissue using open source software.