This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Ischemic stroke and hemorrhagic stroke have different pathogenic mechanisms,but share similarities in metabolic dysregulation,inflammatory responses and oxidative stress.This paper summarized 28 metabolic markers shared between ischemic stroke and hemorrhagic stroke with consistent trends through literature review.It also provided an overview of their involvement in abnormal energy metabolism,inflammatory responses,blood-brain barrier disruption,and neural damage in relation to stroke.The aim is to provide a scientific basis for future prognosis,curative efficacy evaluation and future homotherapy of ischemic stroke and hemorrhagic stroke,and provide insights for the development of new therapies and new drugs.

BACKGROUND:The biomechanical analysis of scoliosis cases is limited,with only independent analysis focusing on the spine or lower limbs,thus lacking a comprehensive evaluation of the multidimensional body.As a result,it becomes challenging to reflect the movement relationship between the trunk and lower limbs during daily activities,which hinders comprehensive clinical treatment guidance. OBJECTIVE:To explore the relationship between different segments of the spine and the kinematics/kinetics of the lower limbs during gait activities by measuring spinal kinematics in scoliosis patients,to provide a comprehensive and multi-level assessment of the biomechanical differences between scoliosis patients and the normal population,consequently offering evidence-based guidance for the prevention and treatment of scoliosis. METHODS:A cross-sectional study was conducted from July 2020 to June 2021 at the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine in Fuzhou University City.A total of 28 scoliosis patients and 28 normal individuals in the same age group were included.Three-dimensional motion capture system was used to capture gait kinematic data at a sampling frequency of 100 Hz.Two force plates(AMTI 400600,sampling frequency 1 500 Hz)were embedded in a 10-meter-long 2.4-meter-wide level ground walkway(with an effective data collection length of 4 m)to collect kinetic data.The differences in spatial-temporal parameters,kinematics,and kinetics of gait between the two groups were compared.Immediately after inclusion,all subjects underwent full spinal X-ray measurements to compare the differences between the scoliosis and normal groups. RESULTS AND CONCLUSION:(1)Patients with scoliosis exhibited reduced relative rotational range of motion between the shoulder and trunk,as well as between the thorax and pelvis,compared to the normal group(P<0.05).However,the rotational range of motion in the pelvis was larger in patients with scoliosis compared to the normal group(P<0.05).(2)Patients with scoliosis showed decreased range of motion in the hip and knee joints,as well as reduced peak torque in hip joint flexion and extension,and lower peak values of ground reaction forces in the concave and convex directions,in comparison to the normal group(P<0.05).(3)Patients with scoliosis demonstrated greater asymmetry indices in knee joint range of motion,relative rotational range of motion between the shoulder and trunk,and between the thorax and pelvis,when compared to the normal group(P<0.05).(4)These findings illustrate a rigid movement pattern among the shoulder,thorax,and pelvis in patients with scoliosis during level walking.There is a reduction in range of motion in the hip and knee joints,as well as decreased peak torque values in hip joint flexion and extension,and ground reaction forces in the concave and convex directions.These characteristics can serve as foundational elements for assessing rehabilitation and developing treatment plans.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Ischemic stroke and hemorrhagic stroke have different pathogenic mechanisms,but share similarities in metabolic dysregulation,inflammatory responses and oxidative stress.This paper summarized 28 metabolic markers shared between ischemic stroke and hemorrhagic stroke with consistent trends through literature review.It also provided an overview of their involvement in abnormal energy metabolism,inflammatory responses,blood-brain barrier disruption,and neural damage in relation to stroke.The aim is to provide a scientific basis for future prognosis,curative efficacy evaluation and future homotherapy of ischemic stroke and hemorrhagic stroke,and provide insights for the development of new therapies and new drugs.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

A retrospective study was conducted on data of 23 patients with pancreatic duct diseases who were underwent peroral pancreatoscopy (POPS) at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from August 2020 to October 2022. The intraoperative observation, postoperative complications, and the diagnosis and treatment of POPS for pancreatic duct diseases were analyzed. All patients underwent POPS and achieved technical success. Among them, 7 patients were diagnosed as having intraductal papillary mucinous neoplasm of pancreas and 3 pancreatic malignant tumor. Eight patients with pancreatolithiasis accepted laser or eletrohydraulic lithotripsy under POPS. Abdominal pain improved in 2 patients with chronic pancreatitis after treatment. Melena disappeared in 2 patients with pancreatic duct hemorrhage or pancreatic enterostomy inflammation after conservative treatment. The symptom of 1 patient with pancreatic enterostomy stenosis improved after balloon dilation. There was no complication in the 23 patients, and the operation time was 35-90 min. The results indicate POPS is safe, effective with distinctive advantages in the diagnosis and treatment for pancreatic duct diseases.

Objective:To evaluate the value of CT angiography (CTA) for vertebral artery (VA) injury in the transverse foramen region of cervical vertebra.Methods:The clinical and CTA imaging data of 56 patients with cervical spine trauma in People's Hospital of Yuxi City from January 2016 to December 2019 were retrospectively analyzed. To observe the VA were or not injuried and their degrees, and the relationship between fracture in transverse foramen region and injured of the VA by applying post processing techniques such as volume reconstruction (VR), image fusion, curved planar reconstruction (CPR), multi-planar reconstruction (MPR), vascular analysis and so on.Results:There were 35 cases in the positive group of transverse perforation stenosis among the 56 patients, and 21 cases in the negative group. There were 19 cases injuried the VA in the positive group of stenosis, but just 5 cases′VA were injuried in the negative group of stenosis, with statistically significant differences ( P<0.05). The risk of VA injuried caused by different degrees of transverse perforation stenosis in the positive stenosis group was statistically significant ( P<0.05). The VA damaged distribution were: 3 cases in V1 segment, 16 cases in V2 segment, 5 cases in V3 segment. The degree of luminal stenosis were: 9 cases of mild stenosi, 7 cases of moderate stenosis, 5 cases of severe stenosis, and 3 cases of luminal occlusion. Conclusions:The CTA of VA can clearly show its anatomical route, degree of injury, range and its adjacent relationship with the fracture end of the transverse foramina of cervical vertebra, which can provide evidences of objective and reliable imaging for spinal surgeons to assess their conditions and select the treatment plans.

Non-coding RNAs (ncRNAs) are genomic transcripts that do not encode proteins.They are also closely associated with tumor initiation and progression,as they play regulatory roles in gene transcription,post-transcription,and translation.Moreover,ncRNAs may enter circulatory system in the form of microvesicles or exosomes,or in combination with protein.The circulating ncRNAs are stable and widely existed in body fluids such as blood and urine.Certain circulating ncRNAs are differentially expressed in tumors,suggesting that they have potential value as novel tumor biomarkers.This article briefly reviews the progress of circulating microRNA (miRNA),long non-coding RNA (lncRNA) and circular RNA (circRNA) as breast cancer biomarkers,and discusses the clinical value of circulating ncRNA as a novel biomarker for breast cancer diagnosis and prognosis.

Objective To analyze the identification, drug resistance and clinical significance of a rare bacterium of Bordetella holmesii ( B. holmesii) to improve its detection and clinical diagnosis and treat-ment. Methods A strain isolated from a bacteremia case was identified by bacterial culture, biochemical tests and 16S rRNA gene sequencing. Mega 7. 0 software was used to conduct a similarity analysis of 16S rRNA gene sequences between the type strains of Bordetella spp. and the isolate, and then a phylogenetic tree was constructed. Antibiotic resistance of the isolate was determined by E-test. Changes in bacterial growth were measured after adding different concentrations of riboflavin or its inhibitor lumiflavin to the cul-ture medium. Results B. holmesii ABD2 was the pathogen causing bacteremia in the immunocompetent pa-tient. It was deposited under the number of CGMCC 1. 13721 in China General Microbiological Culture Col-lection Center (CGMCC), and the 16S rRNA gene sequences were deposited in National Center for Biotech-nology Information ( NCBI) with the accession number of KT828544. 1. Unrooted tree showed that the B. holmesii strain was highly homologous with B. pertussis. Antibiotic susceptibility test showed that the mini-mum inhibitory concentrations ( MIC) of piperacillin, ceftazidime, cefepime, imipenem, meropenem, cipro-floxacin, levofloxacin, gentamicin, amikacin, erythromycin, tetracycline and polymyxin B against the isolate were low, while the MIC values of cefazolin, cefuroxime, cefoxitin, cefotaxime, aztreonam and trime-thoprim-sulfamethoxazole were high. Riboflavin accelerated the growth of B. holmesii ABD2, while its inhibi-tor lumiflavin had an inhibitory effect. Conclusions As B. holmesii is hard to isolate and identify, limited clinical, microbiological and epidemiological data are available. It is an under-recognized pathogen with a considerable amount of information that remains to be studied.