Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Objective To investigate the types of diseases examined by ultrasonography in a certain island clinic,and to summarize the experience of ultrasound medical support in island area.Methods The ultrasound examination results of patients who were admitted to a certain island clinic from January 2017 to August 2022 were reviewed,and the types and characteristics of diseases examined by ultrasound were analyzed.Results A total of 2 043 patients underwent ultrasound examination.There were 76 disease categories and 1 579 diseases.The top five diseases were fatty liver(13.24%),kidney crystals(12.10%),kidney stones(10.70%),gallbladder polyps(6.33%)and ureteral stones with hydronephrosis(6.02%).Ultrasound could predict the pathological types of appendicitis and guide the clinical decision by observing the width of the appendiceal lumen and the layers of the appendiceal wall.Doppler-assessed ureteric jet could be used to determine the renal function of the affected side of ureteral calculi.Conclusion There are wide and varied disease categories in islands.Sonographers should have comprehensive abilities and qualities.This study can provide reference for the follow-up medical support on island area.

Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.

Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.

Objective:To explore the early predictive value of amplitude-integrated electroencephalogram(aEEG) combined with general movements（GMs）assessment for motor development outcomes in infants with severe hyperbilirubinemia at 12 months of age.Methods:The clinical data of 125 cases of neonates with severe hyperbilirubinaemia admitted to the NICU at Inner Mongolia Medical University Hospital from January 2020 to June 2022 were retrospectively analyzed.The aEEG were performed within 24 h of admission；GMs assessment were carried out at the duration of hospital stay，when the serum bilirubin values decreased below phototherapy intervention value and the infant was stable. The patients were regularly followed-up until one-year-old to evaluate the predictive values by Griffiths Developmental Scale.Results:A total of 125 infants with severe hyperbilirubinemia were enrolled，including 82（65.6%）males and 73（58.4%）females，with the mean gestational age of（38.1±1.5）weeks，the mean birth weight of（3 169±573）g，and the mean serum bilirubin of（378.5±51.9）μmol/L. Of the 125 infants diagnosed by Griffiths assessment at the age of 12 months，normal in 86 cases（68.8%），and abnormal in 39 cases（31.2%）. GMs writhing phase assessment had a sensitivity of 100%, negative predictive value of 100% and specificity of 19.77% in predicting motor developmental outcome in neonates with severe hyperbilirubinaemia. The aEEG had a sensitivity of 92.31% and a negative predictive value of 94.92% in predicting motor developmental outcome in neonates with severe hyperbilirubinaemia, with a higher specificity of 65.12%. The sensitivity and negative predictive value of aEEG+GMs assessment for predicting motor developmental outcome in neonates with severe hyperbilirubinaemia were 87.18% and 92.42%, respectively, with the highest specificity of 70.93%.Conclusion:GMs writhing stage assessment, aEEG assessment, and aEEG combined with GMs early assessment have good predictive value for motor developmental outcomes in neonates with severe hyperbilirubinaemia.The aEEG combined with GMs assessment has a high specificity, which can improve the predictive effect of motor developmental outcomes in neonates with hyperbilirubinaemia.

Hepatocellular carcinoma(HCC),commonly known as primary liver cancer,is a major cause of malignant tumors and cancer-related deaths in China,accounting for approximately 85％of all cancer cases in the country.Several guidelines have been used to diagnose and treat liver cancer.However,these guidelines provide a broad definition for classifying advanced liver cancer,with an emphasis on a singular approach,without considering treatment options for individual patients.Therefore,it is necessary to establish a comprehensive and practical expert consensus,specifically for China,to enhance the diagnosis and treatment of HCC using the Delphi method.The classification criteria were refined for Chinese patients with HCC,and the corresponding optimal treatment regimen recommendations were developed.These recommendations took into account various factors,including tumor characteristics,vascular tumor thrombus grade,distant metastasis,liver function status,portal hypertension,and the hepatitis B virus replication status of patients with primary HCC,along with treatment prognosis.The findings and rec-ommendations provide detailed,scientific,and reasonable individualized diagnosis and treatment strategies for clinicians.

Objective:This meta-analysis aims to explore the most consistent changes in cortical thickness in drug-naive first-episode patients with major depressive disorder (DF-MDD).Methods:Systematic and comprehensive searches were conducted to acquire relevant literature from the PubMed and Web of Science databases for the studies published from inception to July 23, 2023, by using the keywords ("depression" OR "depressive disorder" OR "unipolar depression") AND ("cortical thickness"OR"thickness"). The SDM (signed differential mapping) software was used to perform whole-brain voxel-wise meta-analysis, heterogeneity test, and assess publication bias. Meta-regression analysis was employed to examine the impact of disease severity on cortical thickness in depression, and heterogeneity was tested, along with an assessment of publication bias.Results:Eight studies were ultimately included, encompassing 417 DF-MDD patients and 409 healthy controls. Compared to the healthy control group, DF-MDD patients exhibited significantly decreased cortical thickness in multiple brain regions, including the supplementary motor area ( Z=-2.471, P<0.000 5) and the rolandic operculum ( Z=-2.190, P<0.000 5). Further regression analysis found that the disease severity was positively correlated with the cortical thickness in the supplementary motor area ( Z=2.265, P<0.000 5) and the rolandic operculum ( Z=1.56, P<0.000 5). Additionally, the average depressive duration was positively correlated with cortical thickness in the right opercular part of the inferior frontal gyrus ( Z=1.922, P<0.000 5), and negatively correlated with changes in the right midcingulate cortex ( Z=-3.035, P<0.000 5) in DF-MDD. Conclusion:DF-MDD patients exhibit reduced cortical thickness in the supplementary motor area and the operculum area during the early stages of the disease. And the observed pattern of cortical alterations is associated with both the severity and duration of the disease.

Objective:This meta-analysis aims to explore the most consistent changes in cortical thickness in drug-naive first-episode patients with major depressive disorder (DF-MDD).Methods:Systematic and comprehensive searches were conducted to acquire relevant literature from the PubMed and Web of Science databases for the studies published from inception to July 23, 2023, by using the keywords ("depression" OR "depressive disorder" OR "unipolar depression") AND ("cortical thickness"OR"thickness"). The SDM (signed differential mapping) software was used to perform whole-brain voxel-wise meta-analysis, heterogeneity test, and assess publication bias. Meta-regression analysis was employed to examine the impact of disease severity on cortical thickness in depression, and heterogeneity was tested, along with an assessment of publication bias.Results:Eight studies were ultimately included, encompassing 417 DF-MDD patients and 409 healthy controls. Compared to the healthy control group, DF-MDD patients exhibited significantly decreased cortical thickness in multiple brain regions, including the supplementary motor area ( Z=-2.471, P<0.000 5) and the rolandic operculum ( Z=-2.190, P<0.000 5). Further regression analysis found that the disease severity was positively correlated with the cortical thickness in the supplementary motor area ( Z=2.265, P<0.000 5) and the rolandic operculum ( Z=1.56, P<0.000 5). Additionally, the average depressive duration was positively correlated with cortical thickness in the right opercular part of the inferior frontal gyrus ( Z=1.922, P<0.000 5), and negatively correlated with changes in the right midcingulate cortex ( Z=-3.035, P<0.000 5) in DF-MDD. Conclusion:DF-MDD patients exhibit reduced cortical thickness in the supplementary motor area and the operculum area during the early stages of the disease. And the observed pattern of cortical alterations is associated with both the severity and duration of the disease.

Fusobacterium nucleatum (F. nucleatum) is an early pathogenic colonizer in periodontitis, but the host response to infection with this pathogen remains unclear. In this study, we built an F. nucleatum infectious model with human periodontal ligament stem cells (PDLSCs) and showed that F. nucleatum could inhibit proliferation, and facilitate apoptosis, ferroptosis, and inflammatory cytokine production in a dose-dependent manner. The F. nucleatum adhesin FadA acted as a proinflammatory virulence factor and increased the expression of interleukin(IL)-1β, IL-6 and IL-8. Further study showed that FadA could bind with PEBP1 to activate the Raf1-MAPK and IKK-NF-κB signaling pathways. Time-course RNA-sequencing analyses showed the cascade of gene activation process in PDLSCs with increasing durations of F. nucleatum infection. NFκB1 and NFκB2 upregulated after 3 h of F. nucleatum-infection, and the inflammatory-related genes in the NF-κB signaling pathway were serially elevated with time. Using computational drug repositioning analysis, we predicted and validated that two potential drugs (piperlongumine and fisetin) could attenuate the negative effects of F. nucleatum-infection. Collectively, this study unveils the potential pathogenic mechanisms of F. nucleatum and the host inflammatory response at the early stage of F. nucleatum infection.
Humans ; Fusobacterium nucleatum/metabolism* ; NF-kappa B/metabolism* ; Periodontal Ligament/metabolism* ; Signal Transduction ; Fusobacterium Infections/pathology* ; Stem Cells/metabolism*

MEK is a canonical effector of mutant KRAS; however, MEK inhibitors fail to yield satisfactory clinical outcomes in KRAS-mutant cancers. Here, we identified mitochondrial oxidative phosphorylation (OXPHOS) induction as a profound metabolic alteration to confer KRAS-mutant non-small cell lung cancer (NSCLC) resistance to the clinical MEK inhibitor trametinib. Metabolic flux analysis demonstrated that pyruvate metabolism and fatty acid oxidation were markedly enhanced and coordinately powered the OXPHOS system in resistant cells after trametinib treatment, satisfying their energy demand and protecting them from apoptosis. As molecular events in this process, the pyruvate dehydrogenase complex (PDHc) and carnitine palmitoyl transferase IA (CPTIA), two rate-limiting enzymes that control the metabolic flux of pyruvate and palmitic acid to mitochondrial respiration were activated through phosphorylation and transcriptional regulation. Importantly, the co-administration of trametinib and IACS-010759, a clinical mitochondrial complex I inhibitor that blocks OXPHOS, significantly impeded tumor growth and prolonged mouse survival. Overall, our findings reveal that MEK inhibitor therapy creates a metabolic vulnerability in the mitochondria and further develop an effective combinatorial strategy to circumvent MEK inhibitors resistance in KRAS-driven NSCLC.