Search Results (180)

Monitoring position and movements of preterm infants is important to ensure their well-being and optimal development. This study evaluates the feasibility of a pressure-sensitive fiber-optic mattress (FM), made entirely of plastic, for two-dimensional analysis of preterm infant movements and positioning. Before clinical use, we developed a simple, replicable, and cost-effective test protocol to simulate infant movements and positions, enabling early identification of technical limitations. Using data from 20 preterm infants, we assessed the FM’s potential to monitor posture and limb motion. FM-derived pressure patterns were compared with camera-based manual annotations to distinguish between different positions and out-of-bed moments, as well as limb-specific movements. Bench-test results demonstrated the FM’s sensitivity to motion and pressure changes, supporting its use in preclinical validation. Clinical data confirmed the FM’s reliability in identifying infant positions and movement patterns, showing an accuracy comparable to camera annotations. However, limitations such as calibration, sensitivity to ambient light, and edge-related artifacts were noted, indicating areas for improvement. In conclusion, the test protocol proved effective for early-stage evaluation of smart mattress technologies. The FM showed promising clinical feasibility for non-obtrusive monitoring of preterm infants, though further optimization is needed for robust performance in neonatal care. Full article

Porcine Rotavirus (PoRV), a predominant causative agent of neonatal diarrhea in piglets, shares substantial genetic homology with human rotavirus and represents a considerable threat to both public health and the global swine industry in the absence of specific antiviral interventions. The VP6 protein, an internal capsid component, is characterized by exceptional sequence conservation and robust immunogenicity, rendering it an ideal candidate for viral genotyping and vaccine development. In the present study, the recombinant plasmid pET28a(+)-VP6 was engineered to facilitate the high-yield expression and purification of the VP6 antigen. BALB/c mice were immunized to generate monoclonal antibodies (mAbs) through hybridoma technology, and the antigenic specificity of the resulting mAbs was stringently validated. Subsequently, a panel of truncated protein constructs was designed to precisely map linear B-cell epitopes, followed by comparative conservation analysis across diverse PoRV strains. Functional validation demonstrated that all three mAbs exhibited high-affinity binding to VP6, with a peak detection titer of 1:3,000,000 and exclusive specificity toward PoRVA. These antibodies effectively recognized representative genotypes such as G3 and X1, while exhibiting no cross-reactivity with unrelated viral pathogens; however, their reactivity against other PoRV serogroups (e.g., types B and C) remains to be further elucidated. Epitope mapping identified two novel linear B-cell epitopes, ¹²⁸YIKNWNLQNR¹³⁷ and ¹³⁸RQRTGFVFHK¹⁴⁷, both displaying strong sequence conservation among circulating PoRV strains. Collectively, these findings provide a rigorous experimental framework for the functional dissection of VP6 and reinforce its potential as a valuable diagnostic and immunoprophylactic target in PoRV control strategies. Full article

The serotonergic system, originating in the raphe nuclei, differentially modulates the dorsal and ventral hippocampus, which are implicated in cognition and emotion, respectively. Emerging evidence from rodent models (e.g., neonatal ventral hippocampal lesion, pharmacological NMDA receptor antagonist exposure) and human postmortem studies indicates dorsoventral serotonergic alterations in schizophrenia. These data include elevated 5-HT1A receptor expression in the dorsal hippocampus, linking serotonergic hypofunction to cognitive deficits, and hyperactive 5-HT2A/3 receptor signaling and denser serotonergic innervation in the ventral hippocampus driving local hyperexcitability associated with psychosis and stress responsivity. These dorsoventral serotonergic alterations are shown to disrupt the excitation–inhibition balance, impair synaptic plasticity, and disturb network oscillations, as established by in vivo electrophysiology and functional imaging. Synthesizing these multi-level findings, we propose a novel “dorsoventral serotonin imbalance” model of schizophrenia, in which ventral hyperactivation predominantly contributes to psychotic symptoms and dorsal hypoactivity underlies cognitive deficits. We further highlight promising preclinical evidence that selective targeting of region- and receptor-specific targeting, using both pharmacological agents and emerging delivery technologies, may offer novel therapeutic opportunities enabling symptom-specific strategies in schizophrenia. Full article

Background: Necrotizing enterocolitis (NEC) is a severe gastrointestinal disease and a major cause of morbidity and mortality among preterm infants. Traditional diagnostic methods such as abdominal radiography have limited sensitivity in early disease stages, prompting interest in bowel ultrasound (BUS) as a complementary imaging modality. Objective: This scoping review aims to synthesize existing literature on the role of ultra sound in the early detection, diagnosis, and management of NEC, with emphasis on its diagnostic performance, integration into clinical care, and technological innovations. Methods: Following PRISMA-ScR guidelines, a systematic search was conducted across PubMed, Embase, Cochrane Library, and Google Scholar for studies published between January 2000 and December 2025. Inclusion criteria encompassed original research, reviews, and clinical studies evaluating the use of bowel, intestinal, or Doppler ultrasound in neonates with suspected or confirmed NEC. Data were extracted, categorized by study design, population characteristics, ultrasound features, and diagnostic outcomes, and qualitatively synthesized. Results: A total of 101 studies were included. BUS demonstrated superior sensitivity over radiography in detecting early features of NEC, including bowel wall thickening, portal venous gas, and altered peristalsis. Doppler ultrasound, both antenatal and postnatal, was effective in identifying perfusion deficits predictive of NEC onset. Neonatologist-performed ultrasound (NEOBUS) showed high interobserver agreement when standardized protocols were used. Emerging tools such as ultra-high-frequency ultrasound (UHFUS) and artificial intelligence (AI)-enhanced analysis hold potential to improve diagnostic precision. Point-of-care ultrasound (POCUS) appears feasible in resource-limited settings, though implementation barriers remain. Conclusions: Bowel ultrasound is a valuable adjunct to conventional imaging in NEC diagnosis. Standardized protocols, validation of advanced technologies, and out come-based studies are essential to guide its broader clinical adoption. Full article

Background: Gestational diabetes mellitus (GDM) affects 7–9% of pregnancies worldwide and is associated with adverse maternal and neonatal outcomes. Nutritional therapy is a key component of GDM management. However, inconsistencies exist across international and national guidelines regarding macronutrient distribution, glycemic targets, and micronutrient supplementation. This systematic review aims to compare updated nutritional recommendations for GDM across major health organizations and identify areas of consensus, divergence, and evidence gaps. Methods: This systematic review was conducted following PRISMA guidelines and registered in PROSPERO (CRD420251026194). A comprehensive literature search was performed in PubMed, Scopus, and Google Scholar (concluding March 2025), along with manual searches of official websites of professional health organizations (e.g., ADA, WHO, NICE, IDF). Guidelines published within the last 10 years (or the most relevant national guideline if slightly older), available in English or with access to translation, and including explicit nutritional recommendations for GDM were included. Data were extracted on macronutrient composition, glycemic targets, and micronutrient supplementation, with evaluation of the supporting evidence and regional context, incorporating findings from recent key guideline updates. Results: In total, 12 guidelines met the inclusion criteria. While all guidelines emphasized carbohydrate moderation and adequate fiber intake, significant discrepancies were found in carbohydrate quality recommendations (e.g., low-glycemic index focus vs. total carbohydrate restriction), postprandial glucose targets (e.g., 1-h vs. 2-h measurements and varying thresholds like <120 vs. <140 mg/dL), and the use of non-routine micronutrients such as chromium, selenium, and omega-3 fatty acids (generally lacking endorsement). Recent updates from key bodies like ADA, Diabetes Canada, and KDA largely maintain these core stances but show increasing emphasis on dietary patterns and acknowledgement of CGM technology, without resolving key discrepancies. Cultural adaptability and behavioral counselling strategies were minimally addressed across most guidelines. Conclusions: Despite general agreement on the principal recommendations of nutritional management in GDM, substantial variation persists in specific recommendations, even considering recent updates. Consistent, evidence-based, and culturally adaptable guidelines incorporating implementation strategies are needed to optimize care and reduce disparities in GDM management across regions. Full article

Objectives: With the development of artificial intelligence technology in medicine, an intelligent deep learning-based embryo scoring system (iDAScore) has been developed on full-time lapse sequences of embryos. It automatically ranks embryos according to the likelihood of achieving a fetal heartbeat with no manual input from embryologists. To ensure its performance, external validation studies should be performed at multiple clinics. Methods: A total of 6291 single vitrified–thawed blastocyst transfer cycles from 2018 to 2021 at the Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively analyzed by the iDAScore model. Patients with two or more blastocysts transferred and blastocysts that were not cultured in a time-lapse incubator were excluded. Blastocysts were divided into four comparably sized groups by first sorting their iDAScore values in ascending order and then compared with the clinical, perinatal, and neonatal outcomes. Results: Our results showed that clinical pregnancy, miscarriage, and live birth significantly correlated with iDAScore (p < 0.001). For perinatal and neonatal outcomes, no significant difference was shown in four iDAScore groups, except sex ratio. Uni- and multivariable logistic regressions showed that iDAScore was significantly positively correlated with live birth rate (p < 0.05). Conclusions: In conclusion, the objective ranking can prioritize embryos reliably and rapidly for transfer, which could allow embryologists more time for processes requiring hands-on procedures. Full article

Background: Forensic investigation of child homicides presents unique challenges due to the vulnerability of children and the complexity of distinguishing between natural, accidental, and intentional manner of death. A multidisciplinary approach integrating traditional forensic methods with emerging technologies is crucial to ensure accurate diagnosis and effective legal outcomes. Methods: This review examines current and emerging forensic techniques used in neonate, infant, and older child homicide investigations. It highlights advancements in postmortem imaging, histological examination, microbiological analysis, toxicology, and molecular autopsy. Results: Traditional forensic autopsy remains the cornerstone of child homicide investigations, providing critical insights into external and internal injuries. Histological examination enhances diagnostic accuracy by detecting microscopic evidence of trauma and infectious diseases. Postmortem imaging techniques are complementary for better identifying fractures, soft tissue injuries, and vascular abnormalities. Forensic toxicology plays a key role in detecting poisoning, while postmortem microbiology aids in identifying infectious causes of death. Furthermore, advancements in molecular autopsy and genetic testing have significantly enhanced the identification of hereditary conditions linked to sudden unexplained deaths in children, especially in cases involving multiple child fatalities within the same family, where forensic investigations are needed to accurately differentiate between natural causes and potential criminal involvement. Conclusions: A multidisciplinary approach incorporating traditional autopsy with postmortem imaging, histological examination, toxicology, postmortem microbiology, and molecular autopsy is essential for comprehensive forensic analysis, promoting both justice and prevention of fatal child abuse/homicide. Future research should focus on standardizing forensic protocols and exploring the potential of artificial intelligence (AI) in forensic investigations. Full article

Background/Objectives: Artificial intelligence (AI) is considered one of the core technological advancements of Industry 4.0, expected to transform various sectors, including healthcare. Midwifery can greatly benefit from AI; however, its current use, its future potential, and midwives’ attitudes remain underexplored. This study aimed to investigate the implementation of, prospects of, and attitudes of midwives toward AI. Methods: A scoping review was carried out, following the PRISMA guidelines. The search was conducted in Pubmed, Scopus, and Web of Science, from database inception to 2 February 2025. Results: Eight studies met the inclusion criteria. Although AI is not yet widely implemented in midwifery, it has notable potential. Several potential benefits were recorded, such as the enhancement of clinical education through personalized learning tools, such as AI-driven virtual patients and customized assessments, as well as a reduction in clinical errors via predictive models and real-time monitoring technologies. The adoption of AI is therefore expected to improve quality of care, particularly in perinatal and neonatal settings. However, it was found that the integration remains limited due to two key obstacles: ethical concerns (e.g., data privacy) and a notable level of anxiety or hesitation among midwives, associated with low levels of digital health literacy. Conclusions: It is important to form a relevant framework regarding the use of AI in midwifery, addressing ethical concerns and skepticism. Additionally, targeted educational interventions are needed to enhance midwives’ AI literacy and alleviate concerns. In general, it is essential to overcome these barriers to accelerate AI adoption in midwifery and unlock its full potential in perinatal care. Full article

This study investigates neonatal outcomes in singleton and multiple pregnancies following in vitro fertilization (IVF) using donor (IVF-D) versus autologous (IVF-A) material. A retrospective cohort analysis was conducted with 988 neonates born between 2017 and 2024 across three tertiary neonatal units in Romania. The primary outcomes included preterm birth, low birthweight, neonatal asphyxia, and congenital malformations. IVF-D pregnancies were associated with a higher prevalence of adverse neonatal outcomes, particularly in multiple gestations. Preterm birth and low birthweight were more frequent in the IVF-D group, with donor-conceived neonates exhibiting increased rates of neonatal ventilation and prolonged hospitalization. Additionally, congenital anomalies, particularly cardiac malformations, were more prevalent in IVF-D pregnancies, suggesting possible immunological and epigenetic influences. Despite these differences, overall neonatal survival was comparable between groups. These findings contribute to the existing literature on assisted reproductive technologies, emphasizing the need for further research to clarify the biological mechanisms influencing neonatal outcomes and to optimize the clinical management of IVF pregnancies using donor gametes. Full article

Background: Extra-intestinal pathogenic Escherichia coli (ExPEC) represents a major global public health challenge due to its ability to cause diverse clinical infections, including urinary tract infections, bacteremia, neonatal meningitis, and sepsis. The growing prevalence of multidrug-resistant (MDR) ExPEC strains, which rapidly erode antibiotic efficacy, underscores vaccine development as a critical priority. Bioconjugate vaccines have emerged as a promising approach to mitigate ExPEC-associated infections. Methods and Results: In this study, we utilized protein glycan coupling technology (PGCT) based on oligosaccharyltransferase (OST) PglL to engineer a tetravalent bioconjugate vaccine targeting four predominant ExPEC serotypes (O1, O2, O6, and O25). We conducted a series of experiments to demonstrate the efficacy of the conjugate vaccine in eliciting humoral immune responses and inducing the production of specific antibodies against Escherichia coli O1, O2, O6, or O25 serotypes. Conclusions: This work establishes the first application of the O-linked PGCT system for engineering bioconjugate vaccines against ExPEC infections. Full article

Measurement of circulating lactate is an essential diagnostic tool in pediatric medicine, playing a crucial role in assessing metabolic status and tissue oxygenation. Initially regarded as a byproduct of anaerobic metabolism, recent research has expanded our understanding of lactate’s roles across various physiological systems, from energy metabolism to immune modulation and neurological health. Elevated lactate levels are widely utilized to monitor critical conditions such as sepsis, trauma, and hypoxic–ischemic injury, offering valuable prognostic information in intensive care settings. Notably, lactate dynamics—particularly trends in serial measurements—are more effective than single readings for predicting clinical outcomes, especially in sepsis and trauma. Measurement of circulating lactate in different body fluids (blood, cerebrospinal fluid, and umbilical blood) provides critical insights into neonatal health and central nervous system involvement. However, challenges remain, including the need for non-invasive and rapid point-of-care testing, particularly in neonatal populations. Our aim was to review and synthesize the current literature on the role and particularities of measurement of circulating lactate in pediatric pathology. Emerging technologies, such as machine learning models and small molecule inhibitors, show promise in advancing lactate regulation and predicting hemodynamic instability. As the role of lactate in pediatric pathology continues to evolve, optimizing measurement protocols and exploring new therapeutic strategies will enhance early detection, intervention, and clinical outcomes for critically ill children. Full article

Background and Objectives: Pediatric ECMO is a valid support mechanism for refractory cardiac and/or respiratory failure. Magnetic levitation technology applied to the centrifugal pump has reduced the hemolysis caused by this procedure, which can be particularly dangerous, especially in neonates and small children. ECMOLife, a new magnetic levitation centrifugal pump, has been introduced for these patients. Materials and Methods: Four patients were supported with the ECMOLife System in a newborn setting, with veno-venous application in two cases and veno-arterial in the other two. All parameters related to pump functioning, anticoagulation, hemolysis, and inflammation were recorded for the duration of the support. Results: All patients survived the procedure, in three cases achieving recovery, while one veno-arterial ECMO was switched to VAD, and then the patient underwent heart transplantation. All recorded parameters were compatible with clinical conditions. In particular, free haemoglobin was close to 0 g/L in all recorded samples. The possibility of monitoring pump functioning parameters, venous and arterial O2 saturation, and venous and arterial pressures creates an opportunity to check the adequacy of mechanical support for the clinical condition of the patient. Conclusions: This is the first reported experiment in a newborn setting with ECMOLife mechanical support. At present, ECMOLife represents the only system with a newborn and pediatric pump, allowing for the continuous monitoring of perfusion and hemodynamic parameters, with a large number of facilities for transportation available. Full article

Background: Placental grading remains underutilized in clinical practice despite its potential prognostic value. This study aimed to elucidate the relationship between premature placental calcification (PPC) and relevant perinatal outcomes in a large cohort. Methods: We conducted a retrospective cohort study involving 3088 singleton pregnancies that underwent routine third-trimester ultrasound examinations (30⁺⁰ to 35⁺⁶ gestational weeks) at the Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, between January 2018 and December 2023. Placental calcification was graded using the Grannum system, categorizing placentas into Grades 0–1 (control), Grade 2, and Grade 3. Primary outcomes assessed were small for gestational age neonates (SGA) and preeclampsia. Secondary outcomes included gestational hypertension, fetal growth restriction (FGR), stillbirth, gestational age at birth, and birthweight centile. Multiple logistic regression was employed to adjust for confounders, i.e., maternal age, BMI, smoking, conception via assisted reproductive technology, and uterine artery pulsatility index. Results: In total, 544 pregnancies (17.6%) had Grade 2 placentas, and 41 pregnancies (1.3%) had Grade 3 placentas. Compared to the control group, Grade 2 placentas were associated with increased odds of SGA (adjusted odds ratio [aOR] 1.80; 95% confidence intervals [CI]: 1.43–2.25) and FGR (aOR 1.81; 95% CI: 1.35–2.42). Grade 3 placentas showed even higher odds of SGA (aOR 3.09; 95% CI: 1.55–6.17) and FGR (aOR 3.26; 95% CI: 1.53–6.95). No significant associations were found between placental grading and preeclampsia or stillbirth. Additionally, PPC was linked to lower birthweight percentiles and earlier gestational age at birth. Conclusions: Premature placental calcification (before 36⁺⁰ weeks), particularly Grade 3, is significantly associated with adverse perinatal outcomes such as SGA and FGR. Incorporating placental grading into routine prenatal care may enhance risk stratification and guide clinical decision making beyond traditional assessment methods. Full article

Placental-derived pregnancy complications encompass a range of disorders that hinder optimal fetal development, significantly impacting maternal and neonatal health outcomes. Key conditions include placental insufficiency, preeclampsia, fetal growth restriction (FGR) or intrauterine growth restriction (IUGR), fetal overgrowth, and gestational diabetes mellitus (GDM), which together contribute to a heightened risk of preterm birth, perinatal mortality, and long-term developmental challenges in affected infants. These complications are particularly notable because they generate approximately 80% of pregnancy disorders and pose significant public health concerns across diverse global contexts. Their management continues to face challenges, including a lack of consensus on diagnostic criteria and varied implementation of care standards. While imaging techniques like magnetic resonance imaging (MRI) and Doppler ultrasound have emerged as critical tools in clinical assessment, disparities in access to such technologies exacerbate existing inequalities in maternal and fetal health outcomes. Maternal and pregnancy care is a broad range of services aimed at promoting the well-being of women throughout the perinatal period. However, access to these services is often limited by economic, geographical, and sociocultural barriers, particularly for marginalized groups and women in low- and middle-income countries (LMICs). The implementation of targeted interventions designed to address specific obstacles faced by disadvantaged populations is a crucial component of bridging the gap in health equity in maternal care. Public health authorities and policymakers strive to develop evidence-based strategies that address the interplay between healthcare access, socioeconomic factors, and effective interventions in order to mitigate the adverse effects of placental-derived pregnancy complications. Continued research and data collection are essential to inform future policies and practices to improve outcomes for mothers and infants. Full article

Background/Objectives: Crisponi/cold-induced sweating syndrome 1 (CISS1/CISS, MIM#272430) is a genetic disorder due to biallelic variants in CRFL1 (MIM*604237). The related phenotype is mainly characterized by abnormal thermoregulation and sweating, facial muscle contractions in response to tactile and crying-inducing stimuli at an early age, skeletal anomalies (camptodactyly of the hands, scoliosis), and craniofacial dysmorphisms, comprising full cheeks, micrognathia, high and narrow palate, low-set ears, and a depressed nasal bridge. The condition is associated with high lethality during the neonatal period and can benefit from timely symptomatic therapy. Methods: We collected frontal images of all patients with CISS1/CISS published to date, which were analyzed with Face2Gene (F2G), a machine-learning technology for the facial diagnosis of syndromic phenotypes. In total, 75 portraits were subdivided into three cohorts, based on age (Cohort 1 and 2) and the presence of the typical facial trismus (Cohort 3). These portraits were uploaded to F2G to test their suitability for facial analysis and to verify the capacity of the AI tool to correctly recognize the syndrome based on the facial features only. The photos which passed this phase (62 images) were fed to three different AI algorithms—DeepGestalt, Facial D-Score, and GestaltMatcher. Results: The DeepGestalt algorithm results, including the correct diagnosis using a frontal portrait, suggested a similar facial phenotype in the first two cohorts. Cohort 3 seemed to be highly differentiable. The results were expressed in terms of the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and p Value. The Facial D-Score values indicated the presence of a consistent degree of dysmorphic signs in the three cohorts, which was also confirmed by the GestaltMatcher algorithm. Interestingly, the latter allowed us to identify overlapping genetic disorders. Conclusions: This is the first AI-powered image analysis in defining the craniofacial contour of CISS1/CISS and in determining the feasibility of training the tool used in its clinical recognition. The obtained results showed that the use of F2G can reveal valid support in the diagnostic process of CISS1/CISS, especially in more severe phenotypes, manifesting with facial contractions and potentially lethal consequences. Full article