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Cervical Adenocarcinoma In Situ in Young Nulliparous Patient with Persistent ASC-US and Multiple-Type HPV Infections Without HPV 16 and 18 Types – Case Report
Nikola Milic
,Marija Varnicic Lojanica
,Stefan Ivanovic
,Milica Ivanovic
,Katarina Ivanovic
,Nikola Jovic
Posted: 15 January 2026
Mazdutide Ameliorates Non-Alcoholic Fatty Liver Disease by Modulating Endoplasmic Reticulum Stress
Liangyu Gan
,Lengxin Duan
,Xueyi Zheng
Posted: 15 January 2026
Non-Invasive Assessment of Treatment Response in Actinic Keratosis: A Clinically Oriented Multimodal Review
Gianluca Pistore
,Luca Ambrosio
,Antonio Di Guardo
,Anna Rita Panebianco
,Giovanni Di Lella
,Claudio Conforti
,Giovanni Pellacani
,Francesco Moro
,Paolo Marchetti
,Damiano Abeni
+2 authors
Posted: 15 January 2026
Prediction of Pancreatic Islet Yield After Pancreatectomy Using Optical Coherence Elastography
Ekaterina Gubarkova
,Ekaterina Vasilchikova
,Arseniy Potapov
,Denis Kuchin
,Polina Ermakova
,Julia Tselousova
,Anastasia Anina
,Liya Lugovaya
,Marina Sirotkina
,Natalia Gladkova
+2 authors
Intraoperative assessment of pancreatic quality, followed by sampling for the potential isolation of Langerhans islets for subsequent autotransplantation, is currently a key component of post-total pancreatectomy diabetes mellitus treatment. The aim of this study was to quantitatively evaluate pancreatic parenchymal stiffness using optical coherence elastography (OCE) imaging, and to investigate the utility of the OCE method as a potential indicator of islet yield after pancreatectomy. A total of 41 freshly excised human pancreatic specimens, containing pancreatic ductal adenocarcinoma (PDAC) and surrounding non-tumorous tissues post-pancreatectomy, were studied. In this research, the stiffness (Young’s modulus, kPa) and its color-coded 2D distribution were calculated for various pancreatic samples using compression OCE. Stiffness values were compared between intact pancreatic parenchyma (islet-poor and islet-rich) and pancreatic lesion groups (parenchymal fibrosis and/or PDAC invasion). The data were confirmed by histological analysis. In addition, the measured stiffness values for various morphological groups of the pancreatic samples were compared with the number of isolated islets obtained from pancreatic samples after collagenase treatment. The study demonstrated that OCE can effectively distinguish areas of pancreatic lesions and identify intact pancreatic parenchyma containing Langerhans islets. A highly significant increase in mean stiffness (p<0.0001) was observed in postoperative pancreatic samples exhibiting signs of parenchymal fibrosis or PDAC invasion compared to unaffected, intact pancreatic parenchyma. For the first time, a relationship between stiffness values and the number of isolated pancreatic islets was demonstrated, in particular, the number of isolated islets significantly decreased (≤110 pcs/g) in samples exhibiting stiffness values above 150 kPa and below 75 kPa. The optimal stiffness range for the efficient isolation of islets (≥120 pcs/g) from pancreatic tissue was identified as 75–150 kPa. The study introduces a novel approach for rapid and objective intraoperative assessment of pancreatic tissue quality using real-time OCE data. This technique facilitates the identification of regions affected by pancreatic lesions and supports the selection of intact pancreatic parenchyma, potentially enhancing the accuracy of Langerhans islet yield predictions during surgical resection.
Intraoperative assessment of pancreatic quality, followed by sampling for the potential isolation of Langerhans islets for subsequent autotransplantation, is currently a key component of post-total pancreatectomy diabetes mellitus treatment. The aim of this study was to quantitatively evaluate pancreatic parenchymal stiffness using optical coherence elastography (OCE) imaging, and to investigate the utility of the OCE method as a potential indicator of islet yield after pancreatectomy. A total of 41 freshly excised human pancreatic specimens, containing pancreatic ductal adenocarcinoma (PDAC) and surrounding non-tumorous tissues post-pancreatectomy, were studied. In this research, the stiffness (Young’s modulus, kPa) and its color-coded 2D distribution were calculated for various pancreatic samples using compression OCE. Stiffness values were compared between intact pancreatic parenchyma (islet-poor and islet-rich) and pancreatic lesion groups (parenchymal fibrosis and/or PDAC invasion). The data were confirmed by histological analysis. In addition, the measured stiffness values for various morphological groups of the pancreatic samples were compared with the number of isolated islets obtained from pancreatic samples after collagenase treatment. The study demonstrated that OCE can effectively distinguish areas of pancreatic lesions and identify intact pancreatic parenchyma containing Langerhans islets. A highly significant increase in mean stiffness (p<0.0001) was observed in postoperative pancreatic samples exhibiting signs of parenchymal fibrosis or PDAC invasion compared to unaffected, intact pancreatic parenchyma. For the first time, a relationship between stiffness values and the number of isolated pancreatic islets was demonstrated, in particular, the number of isolated islets significantly decreased (≤110 pcs/g) in samples exhibiting stiffness values above 150 kPa and below 75 kPa. The optimal stiffness range for the efficient isolation of islets (≥120 pcs/g) from pancreatic tissue was identified as 75–150 kPa. The study introduces a novel approach for rapid and objective intraoperative assessment of pancreatic tissue quality using real-time OCE data. This technique facilitates the identification of regions affected by pancreatic lesions and supports the selection of intact pancreatic parenchyma, potentially enhancing the accuracy of Langerhans islet yield predictions during surgical resection.
Posted: 15 January 2026
Effects of COPD on Severity and Intensity of Coronary Atheroclerosis
Beatrice Ragnoli
,Carlotta Bertelegni
,Leonardo Brugiatelli
,Giovanni Tarsi
,Fausto Chiazza
,Mario Malerba
Posted: 15 January 2026
Immediate Postural Change in a Child with Choreic Movement Disorder Using Elasto-Compressive Bodysuit
Domenico M. Romeo
,Chiara Velli
,Francesca Sini
,Maddalena Bianchetti
,Eugenio Mercuri
Posted: 15 January 2026
Prospective Evaluation of ESBL Risk Factors and Appropriateness of Empirical Therapy in Hospitalized Patients with Community-Acquired Pyelonephritis
Gülşah Gelişigüzel
,Şerife Altun Demircan
,Murat Aysin
,Esra Kaya Kılıç
,Serap Yağcı
,Sami Kınıklı
,Rukiye Berkem
Posted: 15 January 2026
Detection of HIV-1 Resistance Mutations to Antiretroviral Therapy and Cell Tropism in Russian Patients Using Next-Generation Sequencing
Artem Fadeev
,Veronika Eder
,Maria Pisareva
,Valeriy Tsvetkov
,Alexey Masharskiy
,Ksenia Komissarova
,Anna Ivanova
,Nikita Yolshin
,Andrey Komissarov
,Alexey Mazus
+1 authors
Posted: 15 January 2026
Pediatric Oral Iron Therapy: Choosing the Right Product for Your Patient
Sonia Alexiadou
,Emmanouela Tsouvala
,Elpis Mantadakis
Posted: 15 January 2026
Preparation of Nimodipine Amorphous Solid Dispersion with Various Processes Based on Physicochemical Properties and In Vivo Exposure
Hari Prasad Bhatta
,Ki Hyun Kim
,Mansingh Chaudhary
,Ki-Taek Kim
,Minji Kim
,Hea-Young Cho
,Ravi Maharjan
,Hyo-Kyung Han
,Seong Hoon Jeong
Posted: 15 January 2026
Three-Dimensional Ultrasound Visualization of the Epididymis Using a Transvaginal Probe Applied Scrotally
Srinivas Kudavelly
,Rama Raju GA
Posted: 15 January 2026
Improved Quality of Life in Children and Families following Enrollment in a Pediatric Palliative Care Program: A Prospective Cohort Study
Jéssica H. Guadarrama-Orozco
,María G. Mendoza-Martínez
,Sergio E. Bautista-Téllez
,Paola Yañez-Maldonado
,Karina Mendoza-de la Mendoza-de-la-Vega
,María F. Castilla-Peon
Posted: 15 January 2026
Metabolic Optimization in Total Joint Arthroplasty: A Single-Centre Retrospective Cohort Pilot Study on the Safety and Feasibility of a Digitally Supported Perioperative Diet Modification
Hwee Wen Ong
,Khairul Anwar bin Ayob
,Siew Kit Choon
,Virginia Hartono
Posted: 15 January 2026
Combined Glucose and Thiamine Treatment for Sepsis
Patrick Bradley
Posted: 15 January 2026
It Takes Two to Tango: SARS-CoV-2 and Influenza Co-Circulation and Co-Vaccination
Mohammad Kamransarkandi
,Elena A. Varyushina
,Andrey N. Gorshkov
,Marina A. Stukova
Posted: 14 January 2026
Naringenin Ameliorates LPS-Induced Neuroinflammation Through NF-κB Signaling in Human Microglia and Protects Neuronal Cells
Shahzada Mudasir Rashid
,Antonisamy William James
,Faheem Shehjar
,Shahd Yousuf
,Zahoor A. Shah
Posted: 14 January 2026
Atrial Fibrillation and Cognitive Decline: A Comprehensive Review of Pathophysiological Mechanisms, Therapeutic Strategies, and Digital Health Technologies in Neuroprotection
Amparo Santamaria
,Cristina Antón
,Nataly Ibarra
,María Fernández
,Pedro González
,Rafael Carrasco
Background: Atrial fibrillation (AF) is independently associated with cognitive impairment and dementia through mechanisms extending far beyond traditional cardioembolic stroke risk. However, the relative contribution of distinct pathophysiological pathways and the efficacy of emerging therapeutic interventions for cognitive protection remain incompletely characterized. Objectives: This comprehensive review synthesizes current evidence on the epidemiology, pathophysiological mechanisms, therapeutic interventions (pharmacological, rhythm-control, and digital health), and research priorities addressing the AF–dementia relationship. Methods: A narrative review integrating evidence from observational studies, mechanistic research, randomized controlled trials, systematic reviews, and meta-analyses published through January 2026. Literature sources included MEDLINE/PubMed, major cardiology and neurology journals, and expert consensus statements. Searches used combinations of keywords: "atrial fibrillation," "cognitive decline," "dementia," "silent cerebral infarction," "cerebral hypoperfusion," "direct oral anticoagulants," "catheter ablation," and "digital health." Inclusion criteria encompassed studies examining the AF–cognition association, mechanistic pathways, therapeutic interventions with cognitive outcomes, and digital health technologies in AF management. Heterogeneous study designs prevented quantitative meta-analysis; qualitative synthesis focused on effect sizes, strength of evidence, and clinical implications. Results: Strong epidemiological evidence demonstrates that AF increases relative risk of dementia by 1.4–2.2 fold independently of clinical stroke, with silent cerebral infarction present in 25–40% of AF patients. Multiple interacting pathophysiological mechanisms account for AF-associated cognitive decline: cerebral microembolism (meta-analysis: OR 2.30 for silent infarction on MRI), chronic cerebral hypoperfusion (15–20% reduction in total cerebral blood flow in persistent AF), neuroinflammation, cerebral small vessel disease, and structural brain atrophy. Emerging therapeutic strategies offer complementary neuroprotective mechanisms: direct oral anticoagulants (DOACs)—particularly apixaban and rivaroxaban—reduce dementia risk by approximately 30% compared to warfarin (RR 0.69); rhythm control strategies and catheter ablation demonstrate dementia risk reduction (HR 0.52–0.69); and comprehensive digital health platforms implementing the ABC pathway reduce adverse cardiovascular events by 61% while optimizing adherence and enabling early AF detection. However, evidence-specific to cognitive endpoints remains limited, with the landmark BRAIN-AF trial showing no benefit of low-dose rivaroxaban in low-stroke-risk AF patients—suggesting that non-embolic mechanisms predominate in this population. Conclusions: AF represents a multifaceted threat to brain health requiring a paradigm shift from isolated stroke prevention toward comprehensive heart–brain health optimization. Integration of pharmacological neuroprotection (preferring DOACs), hemodynamic optimization (rhythm control in selected patients), cardiovascular risk factor management, and digital health technologies provides unprecedented opportunity for cognitive preservation. However, critical knowledge gaps persist regarding AF burden thresholds, the relative contribution of competing pathophysiological mechanisms, optimal anticoagulation strategies in low-risk populations, and the long-term cognitive benefits of emerging digital technologies. Prospective randomized clinical trials with cognitive impairment as a primary endpoint, serial neuroimaging, and diverse population representation are urgently needed to validate preventive strategies and refine therapeutic decision-making.
Background: Atrial fibrillation (AF) is independently associated with cognitive impairment and dementia through mechanisms extending far beyond traditional cardioembolic stroke risk. However, the relative contribution of distinct pathophysiological pathways and the efficacy of emerging therapeutic interventions for cognitive protection remain incompletely characterized. Objectives: This comprehensive review synthesizes current evidence on the epidemiology, pathophysiological mechanisms, therapeutic interventions (pharmacological, rhythm-control, and digital health), and research priorities addressing the AF–dementia relationship. Methods: A narrative review integrating evidence from observational studies, mechanistic research, randomized controlled trials, systematic reviews, and meta-analyses published through January 2026. Literature sources included MEDLINE/PubMed, major cardiology and neurology journals, and expert consensus statements. Searches used combinations of keywords: "atrial fibrillation," "cognitive decline," "dementia," "silent cerebral infarction," "cerebral hypoperfusion," "direct oral anticoagulants," "catheter ablation," and "digital health." Inclusion criteria encompassed studies examining the AF–cognition association, mechanistic pathways, therapeutic interventions with cognitive outcomes, and digital health technologies in AF management. Heterogeneous study designs prevented quantitative meta-analysis; qualitative synthesis focused on effect sizes, strength of evidence, and clinical implications. Results: Strong epidemiological evidence demonstrates that AF increases relative risk of dementia by 1.4–2.2 fold independently of clinical stroke, with silent cerebral infarction present in 25–40% of AF patients. Multiple interacting pathophysiological mechanisms account for AF-associated cognitive decline: cerebral microembolism (meta-analysis: OR 2.30 for silent infarction on MRI), chronic cerebral hypoperfusion (15–20% reduction in total cerebral blood flow in persistent AF), neuroinflammation, cerebral small vessel disease, and structural brain atrophy. Emerging therapeutic strategies offer complementary neuroprotective mechanisms: direct oral anticoagulants (DOACs)—particularly apixaban and rivaroxaban—reduce dementia risk by approximately 30% compared to warfarin (RR 0.69); rhythm control strategies and catheter ablation demonstrate dementia risk reduction (HR 0.52–0.69); and comprehensive digital health platforms implementing the ABC pathway reduce adverse cardiovascular events by 61% while optimizing adherence and enabling early AF detection. However, evidence-specific to cognitive endpoints remains limited, with the landmark BRAIN-AF trial showing no benefit of low-dose rivaroxaban in low-stroke-risk AF patients—suggesting that non-embolic mechanisms predominate in this population. Conclusions: AF represents a multifaceted threat to brain health requiring a paradigm shift from isolated stroke prevention toward comprehensive heart–brain health optimization. Integration of pharmacological neuroprotection (preferring DOACs), hemodynamic optimization (rhythm control in selected patients), cardiovascular risk factor management, and digital health technologies provides unprecedented opportunity for cognitive preservation. However, critical knowledge gaps persist regarding AF burden thresholds, the relative contribution of competing pathophysiological mechanisms, optimal anticoagulation strategies in low-risk populations, and the long-term cognitive benefits of emerging digital technologies. Prospective randomized clinical trials with cognitive impairment as a primary endpoint, serial neuroimaging, and diverse population representation are urgently needed to validate preventive strategies and refine therapeutic decision-making.
Posted: 14 January 2026
HIV Membrane-Proximal External Region Scaffolded Immunogen Killed Whole-Cell Genome-Reduced Vaccines
Juan Sebastian Quintero-Barbosa
,Yufeng Song
,Frances Mehl
,Shubham Mathur
,Lauren Livingston
,Peter D. Kwong
,Xiaoying Shen
,David C. Montefiore
,Steven L. Zeichner
Posted: 14 January 2026
Cerebellar Abnormalities: A Component of Autism Pathophysiology
Rekha Jagadapillai
,Idil Tuncali
,Naveen Nagarajan
,Gregory Barnes
,Evelyne Gozal
Posted: 14 January 2026
Could Lithium Be Preserved for the Stabilization of Bipolar Patients?
Paul Grof
Posted: 14 January 2026
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