A Review: Genetic Mutations as a Key to Unlocking Drug Resistance in Cervical Cancer.

Cervical cancer is the fourth most common cancer in women. Advanced stage and metastatic disease are often associated with poor clinical outcomes. This substantiates the absolute necessity for high-throughput diagnostic and treatment platforms that are patient and tumour specific. Cervical cancer treatment constitutes multimodal intervention. Systemic treatments such as chemotherapy and/or focal radiotherapy are typically applied as neoadjuvant and/or adjuvant strategies. Cisplatin constitutes an integral part of standard cervical cancer treatment approaches. However, despite initial patient response, de novo or delayed/acquired treatment resistance is often reported, and toxicity is of concern. Chemotherapy resistance is associated with major alterations in genomic, metabolomic, epigenetic and proteomic landscapes. This results in imbalanced homeostasis associated with pro-oncogenic and proliferative survival, anti-apoptotic benefits, and enhanced DNA damage repair processes. Although significant developments in cancer diagnoses and treatment have been made over the last two decades, drug resistance remains a major obstacle to overcome.

Despite advances in treatment, the disease's advanced stages and spread to other parts of the body often lead to poor outcomes. This highlights the urgent need for better diagnostic and treatment methods tailored to each patient and their specific tumour. Treatment for cervical cancer usually involves a combination of therapies. Chemotherapy and focused radiation therapy are commonly used before or after surgery to improve outcomes. However, some patients develop resistance to these treatments, either from the start or after initially responding to therapy. This resistance can make treatment less effective and increase the risk of side effects. Chemotherapy resistance is often linked to changes in the genes and proteins of cancer cells. These changes disrupt the normal balance within the cells, making them more prone to grow and survive, resist cell death, and repair DNA damage caused by treatment. Despite progress in cancer research and treatment, drug resistance remains a significant challenge. This review aims to explore how acquired genetic mutations contribute to drug resistance in cervical cancer. By understanding these mutations better, researchers and clinicians in low- to middle-income countries can develop more effective treatment strategies to improve outcomes for patients.

Topology-based Clustering of Functional Brain Networks in an Alzheimer's Disease Cohort.

Alzheimer's disease is a progressive neurodegenerative disease with many identifying biomarkers for diagnosis. However, whole-brain phenomena, particularly in functional MRI modalities, are not fully understood nor characterized. Here we employ the novel application of topological data analysis (TDA)-based methods of persistent homology to functional brain networks from ADNI-3 cohort to perform a subtyping experiment using unsupervised clustering techniques. We then investigate variations in QT-PAD challenge features across the identified clusters. Using a Wasserstein distance kernel with a variety of clustering algorithms, we found that the 0th-homology Wasserstein distance kernel and spectral clustering yielded clusters with significant differences in whole brain and medial temporal lobe (MTL) volume, thus demonstrating an intrinsic link between whole brain functional topology and brain morphometric structure. These findings demonstrate the importance of MTL in functional connectivity and the efficacy of using TDA-based machine learning methods in network neuroscience and neurodegenerative disease subtyping.

2'-Fucosyllactose Inhibits Human Norovirus Replication in Human Intestinal Enteroids.

Human noroviruses (HuNoVs) are the leading cause of acute gastroenteritis worldwide. Currently, there are no targeted antivirals for the treatment of HuNoV infection. Histo-blood group antigens (HBGAs) on the intestinal epithelium are cellular attachment factors for HuNoVs; molecules that block the binding of HuNoVs to HBGAs thus have the potential to be developed as antivirals. Human milk oligosaccharides (HMOs) are glycans in human milk with structures analogous to HBGAs. HMOs have been shown to act as decoy receptors to prevent the attachment of multiple enteric pathogens to host cells. Previous X-ray crystallography studies have demonstrated the binding of HMO 2'-fucosyllactose (2'FL) in the same pocket as HBGAs for some HuNoV strains. We evaluated the effect of 2'FL on the replication of a globally dominant GII.4 Sydney [P16] HuNoV strain using human intestinal enteroids (HIEs) from adults and children. A significant reduction in GII.4 Sydney [P16] replication was seen in duodenal and jejunal HIEs from multiple adult donors, all segments of the small intestine from an adult organ donor and in two pediatric duodenal HIEs. However, 2'FL did not inhibit HuNoV replication in two infant jejunal HIEs that had significantly lower expression of α1-2-fucosylated glycans. 2'FL can be synthesized in large scale, and safety and tolerance have been assessed previously. Our data suggest that 2'FL has the potential to be developed as a therapeutic for HuNoV gastroenteritis.

Machine learning of ECG waveforms and cardiac magnetic resonance for response and survival after cardiac resynchronization therapy.

Cardiac resynchronization therapy (CRT) can lead to marked symptom reduction and improved survival in selected patients with heart failure with reduced ejection fraction (HFrEF); however, many candidates for CRT based on clinical guidelines do not have a favorable response. A better way to identify patients expected to benefit from CRT that applies machine learning to accessible and cost-effective diagnostic tools such as the 12-lead electrocardiogram (ECG) could have a major impact on clinical care in HFrEF by helping providers personalize treatment strategies and avoid delays in initiation of other potentially beneficial treatments. This study addresses this need by demonstrating that a novel approach to ECG waveform analysis using functional principal component decomposition (FPCD) performs better than measures that require manual ECG analysis with the human eye and also at least as well as a previously validated but more expensive approach based on cardiac magnetic resonance (CMR). Analyses are based on five-fold cross validation of areas under the curve (AUCs) for CRT response and survival time after the CRT implant using Cox proportional hazards regression with stratification of groups using a Gaussian mixture model approach. Furthermore, FPCD and CMR predictors are shown to be independent, which demonstrates that the FPCD electrical findings and the CMR mechanical findings together provide a synergistic model for response and survival after CRT. In summary, this study provides a highly effective approach to prognostication after CRT in HFrEF using an accessible and inexpensive diagnostic test with a major expected impact on personalization of therapies.

Bile acid-sensitive human norovirus strains are susceptible to sphingosine-1-phosphate receptor 2 inhibition.

Human noroviruses (HuNoVs) are a diverse group of RNA viruses that cause endemic and pandemic acute viral gastroenteritis. Previously, we reported that many HuNoV strains require bile or bile acid (BA) to infect human jejunal intestinal enteroid cultures. BA was not essential for the replication of a pandemic-causing GII.4 HuNoV strain. We found the hydrophobic BA glycochenodeoxycholic acid (GCDCA) promotes the replication of the BA-dependent strain GII.3 in jejunal enteroids. Furthermore, we found that inhibition of the G-protein-coupled BA receptor, sphingosine-1-phosphate receptor 2 (S1PR2), by JTE-013, reduced GII.3 infection dose-dependently and inhibited GII.3 cellular uptake in enteroids. Herein, we sought to determine whether S1PR2 is required for other BA-dependent HuNoV strains, the BA-independent GII.4, and whether S1PR2 is required for BA-dependent HuNoV infection in HIEs from other small intestinal segments. We found a second S1PR2 inhibitor, GLPG2938, reduces GII.3 infection dose-dependently, and an S1PR2 agonist (CYM-5520) enhances GII.3 replication in the absence of GCDCA. GII.3 replication also is abrogated in the presence of JTE-013 and CYM-5520. JTE-013 inhibition of S1PR2 in jejunal HIEs reduces GI.1, GII.3, and GII.17 (BA-dependent) but not GII.4 Sydney (BA-independent) infection, providing additional evidence of strain-specific differences in HuNoV infection. Finally, GII.3 infection of duodenal, jejunal, and ileal lines derived from the same individual is reduced with S1PR2 inhibition, indicating a common mechanism of BA-dependent infection among multiple segments of the small intestine. Our results support a model where BA-dependent HuNoVs exploit BA effects on S1PR2 to infect the entire small intestine.IMPORTANCEHuman noroviruses (HuNoVs) are important viral human pathogens that cause both outbreaks and sporadic gastroenteritis. These viruses are diverse, and many strains are capable of infecting humans. Our previous studies have identified strain-specific requirements for hydrophobic bile acids (BAs) to infect intestinal epithelial cells. Moreover, we identified a BA receptor, sphingosine-1-phosphate receptor 2 (S1PR2), required for infection by a BA-dependent strain. To better understand how various HuNoV strains enter and infect the small intestine and the role of S1PR2 in HuNoV infection, we evaluated infection by additional HuNoV strains using an expanded repertoire of intestinal enteroid cell lines. We found that multiple BA-dependent strains, but not a BA-independent strain, all require S1PR2 for infection. In addition, BA-dependent infection requires S1PR2 in multiple segments of the small intestine. Together, these results indicate that S1PR2 has value as a potential therapeutic target for BA-dependent HuNoV infection.

Analgesia efficacy of erector spinae plane block in laparoscopic abdominal surgeries: a systemic review and meta-analysis.

BACKGROUND: Multimodal analgesia is now widely practised to minimise postoperative opioid consumption while optimising pain control. The aim of this meta-analysis was to assess the analgesic efficacy of erector spinae plane block (ESPB) in patients undergoing laparoscopic abdominal surgeries. This will be determined by perioperative opioid consumption, subjective pain scores, and incidences of postoperative nausea and vomiting. METHODS: The authors systemically searched electronic databases for randomised controlled trials (RCTs) published up to February 2023 comparing ESPB with other adjuvant analgesic techniques in laparoscopic abdominal surgeries. Nine randomised controlled trials encompassing 666 subjects were included in our study. RESULTS: ESPB was shown to reduce postoperative opioid consumption [mean difference (MD) of -5.95 mg (95% CI: -8.86 to -3.04; P <0.0001); I2 =89%], intraoperative opioid consumption MD of -102.4 mcg (95% CI: -145.58 to -59.21; P <0.00001); I2 =39%, and incidence of nausea [RR 0.38 (95% CI: 0.25-0.60; P <0.0001); I2 =0%] and vomiting [RR 0.32 (95% CI: 0.17-0.63; P =0.0009); I2 =0%] in laparoscopic abdominal surgeries. Subgroup analysis on laparoscopic colorectal surgeries further showed reduction in postoperative pain scores MD of -0.68 (95% CI: -0.94 to -0.41); P <0.00001; I2 =0%]. CONCLUSIONS: This study concludes that ESPB is a valuable technique with proven efficacy to potentially promote faster postoperative recovery through optimising pain control while minimising opioid requirements.

Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translation.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is an important imaging modality for the assessment of heart disease; however, limitations of CMR include long exam times and high complexity compared to other cardiac imaging modalities. Recently advancements in artificial intelligence (AI) technology have shown great potential to address many CMR limitations. While the developments are remarkable, translation of AI-based methods into real-world CMR clinical practice remains at a nascent stage and much work lies ahead to realize the full potential of AI for CMR. METHODS: Herein we review recent cutting-edge and representative examples demonstrating how AI can advance CMR in areas such as exam planning, accelerated image reconstruction, post-processing, quality control, classification and diagnosis. RESULTS: These advances can be applied to speed up and simplify essentially every application including cine, strain, late gadolinium enhancement, parametric mapping, 3D whole heart, flow, perfusion and others. AI is a unique technology based on training models using data. Beyond reviewing the literature, this paper discusses important AI-specific issues in the context of CMR, including (1) properties and characteristics of datasets for training and validation, (2) previously published guidelines for reporting CMR AI research, (3) considerations around clinical deployment, (4) responsibilities of clinicians and the need for multi-disciplinary teams in the development and deployment of AI in CMR, (5) industry considerations, and (6) regulatory perspectives. CONCLUSIONS: Understanding and consideration of all these factors will contribute to the effective and ethical deployment of AI to improve clinical CMR.

GI.1 Norovirus Neutralizing Antibody Levels Are Correlated with GI.1 Histo-blood Group Antigen-Blocking Antibody Levels.

BACKGROUND: The in vitro cultivation of human noroviruses allows a comparison of antibody levels measured in neutralization and histoblood group antigen (HBGA)-blocking assays. METHODS: Serum samples collected during the evaluation of an investigational norovirus vaccine (HIL-214 [formerly TAK-214]) were assayed for neutralizing antibody levels against the vaccine's prototype Norwalk virus/GI.1 (P1) virus strain. Results were compared to those previously determined using HBGA-blocking assays. RESULTS: Neutralizing antibody seroresponses were observed in 83% of 24 vaccinated adults, and antibody levels were highly correlated (r=0.81, P<0.001) with those measured by HBGA-blocking. CONCLUSIONS: GI.1-specific HBGA-blocking antibodies are a surrogate for neutralization of GI.1 norovirus.

Exploring the Cognitive Profiles of Haemodialysis Patients using Objective and Subjective Indicators: A Cross-sectional Observational Study.

BACKGROUND: Cognitive impairment is common in haemodialysis patients and associated with adverse health outcomes. Previous work focused primarily on neuropsychological tests, the gold standard measure of cognition. However, these tests reflect performance under optimal conditions rather than performance in everyday life. This study aims to assess both objective and subjective cognition in haemodialysis patients. METHODS: Adult haemodialysis patients completed measures of objective cognitive impairment (Montreal Cognitive Assessment), subjective cognitive complaints, mood and fatigue symptoms, and provided sociodemographic information. Clinical data such as comorbidity were extracted from patients' medical record. RESULTS: A total of 268 haemodialysis patients (mean age = 59.87 years; 42.5% female) participated. Only 25.0% of the sample had normal cognition, while the rest had either objective cognitive impairments or clinically significant cognitive complaints, or both (both objective impairments and subjective complaints: 26.1%; objective impairments without complaint: 38.4%; significant complaints without objective impairments: 10.4%). Lower education was associated with the presence of objective cognitive impairments, whereas depression was associated with the presence of clinically significant cognitive complaints. Patients who exhibited both objective cognitive impairments and significant cognitive complaints were more likely to have diabetes and higher dialysis dose (Kt/V). Patients with objective cognitive impairments but no significant complaints were significantly older. CONCLUSIONS: The cognitive burden of haemodialysis patients can be manifested as objective impairments and/or subjective complaints. When combined the two indicators may better represent the overall cognitive well-being in this population. There is a need to screen for cognitive difficulties and develop cognitive rehabilitative strategies in dialysis settings.

Advancements in Human Norovirus Cultivation in Human Intestinal Enteroids.

Human noroviruses (HuNoVs) are a significant cause of both epidemic and sporadic acute gastroenteritis worldwide. The lack of a reproducible culture system for HuNoVs was a major obstacle in studying virus replication and pathogenesis for almost a half-century. This barrier was overcome with our successful cultivation of multiple HuNoV strains in human intestinal enteroids (HIEs), which has significantly advanced HuNoV research. We previously optimized culture media conditions and generated genetically-modified HIE cultures to enhance HuNoV replication in HIEs. Building upon these achievements, we now present additional advancements to this culture system, which involve testing different media, unique HIE lines, and additional virus strains. HuNoV infectivity was evaluated and compared in new HIE models, including HIEs generated from different intestinal segments of individual adult organ donors, HIEs made from human embryonic stem cell-derived human intestinal organoids that were transplanted into mice (H9tHIEs), genetically-engineered (J4 FUT2 knock-in [ KI ], J2 STAT1 knock-out [ KO ]) HIEs, as well as HIEs derived from a patient with common variable immunodeficiency (CVID) and from infants. Our findings reveal that small intestinal HIEs, but not colonoids, from adults, H9tHIEs, HIEs from a CVID patient, and HIEs from infants support HuNoV replication with segment and strain-specific differences in viral infection. J4 FUT2-KI HIEs exhibit the highest susceptibility to HuNoV infection, allowing the cultivation of a broader range of GI and GII HuNoV strains than previously reported. Overall, these results contribute to a deeper understanding of HuNoVs and highlight the transformative potential of HIE cultures in HuNoV research. Importance: Human noroviruses (HuNoVs) are very contagious and cause significant acute gastroenteritis globally, but studying them has been hindered by the lack of a reproducible culture system for nearly 50 years. This barrier was overcome by successfully cultivating multiple HuNoV strains in human intestinal enteroids (HIEs), advancing HuNoV research. We previously optimized culture conditions and developed genetically modified HIEs to enhance HuNoV replication. In this study, we tested different media, unique HIE lines, and additional virus strains, evaluating HuNoV infectivity in new HIE models. These models include HIEs from various intestinal segments of adult donors, human embryonic stem cell-derived HIEs transplanted into mice (H9tHIEs), genetically-engineered HIEs (J4 FUT2 knock-in [ KI ], J2 STAT1 knock-out [ KO ]), HIEs from a common variable immunodeficiency (CVID) patient, and from infants. Our findings show that adult small intestinal HIEs, H9tHIEs, CVID patient HIEs, and infant HIEs support HuNoV replication with segment and strain-specific differences. J4 FUT2-KI HIEs exhibited the highest susceptibility, allowing cultivation of a broader range of HuNoV strains. These results enhance the understanding of HuNoVs and highlight the transformative potential of HIE cultures in HuNoV research.

The performance of single and combination test strategies using visual inspection, cytology, high-risk HPV DNA and HPV16/18 to screen South African women with and without HIV-infection.

BACKGROUND: Cervical cancer screening strategies should ideally be informed by population-specific data. Strategies recommended for secondary prevention, are often inadequately studied in populations with high cervical disease burdens. This report describes the test performance measured against CIN2 + /CIN3 + histology in HIV-positive women (HPW) and HIV-negative women (HNW) with the aim to determine the most effective strategies to identify South African women at risk. METHODS: Primary screening using visual inspection, cytology and HPV DNA (cobas®) was performed in two South African provinces on 456 HPW and 639 HNW participating in the multicentric DiaVACCS trial. Histology was obtained for 91.7% screen-positive and 42.7% screen-negative participants, and unavailable histology was determined by multiple imputation to adjust for verification bias. Cross-sectional test performance was calculated for single and combination test strategies with and without intermediate risk categories using different cut-offs. Minimum acceptability for sensitivity and specificity, treatment and follow-up numbers were considered to evaluate strategies. RESULTS: The only single test to reach acceptability in HPW was cytology (LSIL) [sensitivity 71.2%; specificity 90.5%; treatment 33.4%]; in HNW only HPV (hr) qualified [sensitivity 68.2%; specificity 85.2%; treatment 23.5%]. The universally best performing strategy which also resulted in smaller treatment numbers without intermediate risk group was primary HPV(hr), with treatment of both HPV(16/18) and cytology (ASCUS +) [HPW: sensitivity 73.6%; specificity 89.7%; treatment 34.7%. HNW: sensitivity 59.1%; specificity 93.6%; treatment 13.9%]. DNA testing for hrHPV (any) and hrHPV (16/18) was the best universally acceptable strategy with an intermediate risk category (early follow-up) in HPW [sensitivity 82.1%; specificity 96.4%; treatment 17.1%; follow-up 31.4%] and HNW [sensitivity 68.2%; specificity 96.7%; treatment 7.6%; follow-up 15.9%]. In comparison, using both HPV (16/18) and cytology (ASCUS +) as secondary tests in hrHPV positive women, decreased follow-up [HPW 13.8%, HNW 9.6%], but increased treatment [HPW 34.7%, HNW 13.9%]. CONCLUSION: Using hrHPV (any) as primary and both HPV16/18 and cytology as secondary tests, was universally acceptable without an intermediate risk group. Strategies with follow-up groups improved screening performance with smaller treatment numbers, but with effective management of the intermediate risk group as prerequisite.

Sociodemographics, behaviour and knowledge of first South African HPV-vaccine recipients.

BACKGROUND:  Infection with the human papillomavirus (HPV) is a necessary cause of cervical cancer and is one of the most prevalent sexually transmitted infections worldwide. Primary prevention strategies target reducing HPV acquisition through vaccination, limiting exposure (e.g. delayed sexual debut, barrier contraception) and health education focusing on sexual behaviour and tobacco use. METHODS:  The ImmunoVACCS study, conducted from 2019 to 2022 in two provinces in South Africa, examined sociodemographic characteristics, sexual practices, and knowledge of cervical cancer and the HPV vaccine among young female vaccine recipients. It encompassed participants from the previously conducted vaccine implementation trials, VACCS 1 and VACCS 2 (2011-2014). Recruitment involved telephonic contact with eligible potential participants. Data were collected through self-administered questionnaires. RESULTS:  One hundred and eleven participants took part in the current study (median age: 20 years; age range: 16-22 years). Most sexually active participants had their first engagement in secondary school (96.2%), and 77.2% used contraception during their last sexual activity. Knowledge gaps were evident, with only 13.5% recognising cervical cancer's cervix origin and 3.6% attributing it to a virus. Despite this, 70.3% had heard of a vaccine for cervical cancer. Less than half knew about the importance of regular Pap smears (49.5%), vaccine protection (44.1%) or condom use (20.7%) against HPV and cervical cancer. CONCLUSION:  The current study demonstrates that young women still lack complete information on cervical cancer and its risk factors even after receiving health education linked with vaccination.Contribution: This study underscores the necessity of ongoing education about HPV, its risks and preventive measures among young women to combat cervical cancer.

Perioperative management of sarcopenia in patients undergoing major surgeries in Singapore: a modified delphi consensus.

BACKGROUND: Ageing population is a worldwide phenomenon with correspondingly higher proportion of older patients being treated in the hospital setting. Sarcopenia, which increases with age, has serious negative implications on health, hospitalization and overall postoperative recovery. There is no mutual consensus on perioperative management of sarcopenia in surgical patients in Singapore. The purpose of this study is to create greater clarity pertaining to the recognition of sarcopenia, the application of assessment criteria of sarcopenia and perioperative management of surgical patients in Singapore. METHODS: A modified Delphi consensus consisting of a panel of experts from Singapore forming a multidisciplinary team, including surgeons, geriatricians, anesthesiologists, physiotherapists and dieticians. Eight recommendations were proposed by the steering committee. Literature search from MEDLINE, Embase and Scopus for articles up till June 2023 were performed to support recommendation statements. The expert panel voted on agreement to recommendation statements and graded the level of evidence supporting each statement through surveys to achieve consensus, set at 85% a priori. RESULTS: The panelists underwent two rounds of anonymized, independent voting before reaching consensus for all eight statements. After the first round, seven statements reached consensus, including the corresponding grading for level of evidence. The statement which did not achieve consensus was revised with supporting literature and after the second round of survey, all eight statements and level of evidence reached consensus, completing the Delphi process. These eight statements covered themes to (1) encourage the identification of sarcopenia, (2) guide pre-operative and (3) post-operative management of sarcopenia. CONCLUSION: With the varying approaches in perioperative management, poor understanding of and identification of sarcopenia can result in suboptimal management of sarcopenia in surgical patients. Given the abundance of evidence linking beneficial impact on recovery and post-operative complications with prudent management of sarcopenia, it is imperative and urgent to achieve awareness and consensus.

Phylogeny and historical biogeography of the swallow family (Hirundinidae) inferred from comparisons of thousands of UCE loci.

Swallows (Hirundinidae) are a globally distributed family of passerine birds that exhibit remarkable similarity in body shape but tremendous variation in plumage, sociality, nesting behavior, and migratory strategies. As a result, swallow species have become models for empirical behavioral ecology and evolutionary studies, and variation across the Hirundinidae presents an excellent opportunity for comparative analyses of trait evolution. Exploiting this potential requires a comprehensive and well-resolved phylogenetic tree of the family. To address this need, we estimated swallow phylogeny using genetic data from thousands of ultraconserved element (UCE) loci sampled from nearly all recognized swallow species. Maximum likelihood, coalescent-based, and Bayesian approaches yielded a well-resolved phylogenetic tree to the generic level, with minor disagreement among inferences at the species level, which likely reflect ongoing population genetic processes. The UCE data were particularly useful in helping to resolve deep nodes, which previously confounded phylogenetic reconstruction efforts. Divergence time estimates from the improved swallow tree support a Miocene origin of the family, roughly 13 million years ago, with subsequent diversification of major groups in the late Miocene and Pliocene. Our estimates of historical biogeography support the hypothesis that swallows originated in the Afrotropics and have subsequently expanded across the globe, with major in situ diversification in Africa and a secondary major radiation following colonization of the Neotropics. Initial examination of nesting and sociality indicates that the origin of mud nesting - a relatively rare nest construction phenotype in birds - was a major innovation coincident with the origin of a clade giving rise to over 40% of extant swallow diversity. In contrast, transitions between social and solitary nesting appear less important for explaining patterns of diversification among swallows.

Foot self-care behaviour in primary care patients with diabetic foot ulcers: Structural equation modelling of psychological predictors.

Diabetic foot ulcers (DFUs) are one of the most prevalent and costly diabetes complications, associated with diminished quality of life and poor prognosis. Management of DFUs relies heavily on patients' foot self-care behaviour. This study aims to explore psychological determinants of this important behaviour among primary care patients. A total of 186 patients with active DFUs self-reported their illness perception, diabetes distress, self-efficacy, and foot self-care behaviour. Structural equation modelling was performed to examine interrelationships among measured variables. The final model demonstrated satisfactory fit, CFI = 0.933, TLI = 0.913, RMSEA = 0.050, SRMR = 0.073, χ2(95) = 132.256 (p = 0.004), and explained 51.1% of the variance of foot self-care. Illness threat perceptions (i.e., consequence, timeline, identity, concern, and emotion) had a direct positive effect on foot self-care behaviours, but also indirectly decreased foot self-care through increasing diabetes distress. Control perceptions (i.e., personal control, treatment control, and coherence) were not directly associated with foot self-care behaviours, but indirectly improved foot self-care by reducing diabetes distress and increasing foot care confidence. These findings suggest illness perceptions, diabetes distress, and self-care confidence as modifiable predictors to be targeted in self-management interventions for patients with DFUs.

Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction.

Introduction: Heart failure with preserved ejection fraction (HFpEF) is a complex disease process influenced by metabolic disorders, systemic inflammation, myocardial fibrosis, and microvascular dysfunction. The goal of our study is to identify potential relationships between plasma biomarkers and cardiac magnetic resonance (CMR) imaging markers in patients with HFpEF. Methods: Nineteen subjects with HFpEF and 15 age-matched healthy controls were enrolled and underwent multiparametric CMR and plasma biomarker analysis using the Olink® Cardiometabolic Panel (Olink Proteomics, Uppsala, Sweden). Partial least squares discriminant analysis (PLS-DA) was used to characterize CMR and biomarker variables that differentiate the subject groups into two principal components. Orthogonal projection to latent structures by partial least squares (OPLS) analysis was used to identify biomarker patterns that correlate with myocardial perfusion reserve (MPR) and extracellular volume (ECV) mapping. Results: A PLS-DA could differentiate between HFpEF and normal controls with two significant components explaining 79% (Q2 = 0.47) of the differences. For OPLS, there were 7 biomarkers that significantly correlated with ECV (R2 = 0.85, Q = 0.53) and 6 biomarkers that significantly correlated with MPR (R2 = 0.92, Q2 = 0.32). Only 1 biomarker significantly correlated with both ECV and MPR. Discussion: Patients with HFpEF have unique imaging and biomarker patterns that suggest mechanisms associated with metabolic disease, inflammation, fibrosis and microvascular dysfunction.

Membrane lipids drive formation of KRAS4b-RAF1 RBDCRD nanoclusters on the membrane.

The oncogene RAS, extensively studied for decades, presents persistent gaps in understanding, hindering the development of effective therapeutic strategies due to a lack of precise details on how RAS initiates MAPK signaling with RAF effector proteins at the plasma membrane. Recent advances in X-ray crystallography, cryo-EM, and super-resolution fluorescence microscopy offer structural and spatial insights, yet the molecular mechanisms involving protein-protein and protein-lipid interactions in RAS-mediated signaling require further characterization. This study utilizes single-molecule experimental techniques, nuclear magnetic resonance spectroscopy, and the computational Machine-Learned Modeling Infrastructure (MuMMI) to examine KRAS4b and RAF1 on a biologically relevant lipid bilayer. MuMMI captures long-timescale events while preserving detailed atomic descriptions, providing testable models for experimental validation. Both in vitro and computational studies reveal that RBDCRD binding alters KRAS lateral diffusion on the lipid bilayer, increasing cluster size and decreasing diffusion. RAS and membrane binding cause hydrophobic residues in the CRD region to penetrate the bilayer, stabilizing complexes through ß-strand elongation. These cooperative interactions among lipids, KRAS4b, and RAF1 are proposed as essential for forming nanoclusters, potentially a critical step in MAP kinase signal activation.

Grand Challenges at the Interface of Engineering and Medicine.

Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution is now equipped at varying degrees of sophistication with the ability to monitor human health in both non-invasive and invasive modes. The multiple scales at which human physiology can be interrogated provide a profound perspective on health and disease. We are at the nexus of creating "avatars" (herein defined as an extension of "digital twins") of human patho/physiology to serve as paradigms for interrogation and potential intervention. Motivated by the emergence of these new capabilities, the IEEE Engineering in Medicine and Biology Society, the Departments of Biomedical Engineering at Johns Hopkins University and Bioengineering at University of California at San Diego sponsored an interdisciplinary workshop to define the grand challenges that face biomedical engineering and the mechanisms to address these challenges. The Workshop identified five grand challenges with cross-cutting themes and provided a roadmap for new technologies, identified new training needs, and defined the types of interdisciplinary teams needed for addressing these challenges. The themes presented in this paper include: 1) accumedicine through creation of avatars of cells, tissues, organs and whole human; 2) development of smart and responsive devices for human function augmentation; 3) exocortical technologies to understand brain function and treat neuropathologies; 4) the development of approaches to harness the human immune system for health and wellness; and 5) new strategies to engineer genomes and cells.