The gradient field, one of the core magnetic fields in magnetic resonance imaging (MRI) systems, is generated by gradient coils and plays a critical role in spatial encoding and the generation of echo signals. The uniformity or linearity of the gradient field directly impacts the quality and distortion level of MRI images. However, traditional point measurement methods lack accuracy in assessing the linearity of gradient fields, making it difficult to provide effective parameters for image distortion correction. This paper introduced a spherical measurement-based method that involved measuring the magnetic field distribution on a sphere, followed by detailed magnetic field calculations and linearity analysis. This study, applied to assess the nonlinearity of asymmetric head gradient coils, demonstrated more comprehensive and precise results compared to point measurement methods. This advancement not only strengthens the scientific basis for the design of gradient coils but also provides more reliable parameters and methods for the accurate correction of MRI image distortions.
Magnetic Resonance Imaging/instrumentation* ; Humans ; Image Processing, Computer-Assisted/methods* ; Nonlinear Dynamics ; Magnetic Fields ; Algorithms ; Phantoms, Imaging

Objective:To construct an in situ pancreatic tumor model in mice and explore the mechanism of neuromedin U (NMU) remodeling the metabolic microenvironment of pancreatic tumors via the Hedgehog signaling pathway.Methods:C57BL/6 NMU -/- heterozygous mice were bred in one cage with a female-to-male ratio of 2:1. The tail tissues of offspring rats were taken, and knockout primers were designed according to the sequence structure of NMU gene. The C57BL/6 NMU -/- mouse genotypes were identified by polymerase chain reaction (PCR) and agarose gel electrophoresis. Five C57BL/6 NMU -/- homozygotes and five wild type mice aged 8 to 9 weeks were selected, and Panc02 cell suspension of pancreatic cancer in logarithmic growth phase was injected into pancreatic tail tissue to construct tumor bearing mice model of pancreatic tumor in situ. After 3 weeks of tumor loading, flow cytometry was used to detect the abundance changes of CD8 + T cells in the spleen tissues of two groups of mice. GSE102238 (data published in August 2017) and GSE62452 (data published in July 2016) datasets were download from the Gene Expression Omnibus (GEO) database, including 119 samples of pancreatic cancer tissue and 111 samples of normal pancreatic tissue adjacent to cancer, and the differential expression factors of the two groups of samples were screened. R language limma package was used to analyze the differential expression of NMU mRNA in pancreatic cancer tissues and adjacent normal tissues; the relative expression level of NMU mRNA in pancreatic cancer patients of different ages and tumor grades was analyzed by ggpubr package. The relative expression level data of NMU mRNA in pancreatic tumor patients were extracted, and the patients were divided into high expression group (>2.48) and low expression group (<2.48) based on the median value (2.48). The CIBERSORT algorithm was used to calculate the difference in the content of infiltrating immune cells in pancreatic tumors between the two groups of patients. The overall survival of patients with different relative expression levels of NMU mRNA in the OncoLnc database (59 cases in the high expression group and 59 cases in the low expression group) was compared. The data of 178 patients with pancreatic cancer in TCGA-PAAD of The Cancer Genome Atlas (TCGA) database (updated in March 2024) were download. According to the median value of relative expression of NMU mRNA (2.740), the patients were divided into the high expression group (>2.740) and the low expression group (<2.740), with 89 cases in each group. GSEA software was used to analyze the biological functions and pathways in which the genes enriched significantly. The molecules and key targets for molecular docking were explored using the large molecule protein interaction tool PDBePISA. Spearman correlation analysis was performed using R language data packets. Results:The results of C57BL/6 NMU -/- mouse genotypes analyzed by using the gel electrophoresis pattern of PCR amplification products of tail tissues showed that the wild type was one 380 bp electrophoretic band, the homozygous type was one 450 bp electrophoretic band, and the heterozygous type was 450 bp and 380 bp electrophoretic bands. After identifying and screening pure strains mouse, reproduction was carried out, and C57BL/6 NMU -/- homozygous mice were successfully obtained. The results of flow cytometry analysis showed that the proportion of CD8 + T cells in the spleen tissues of C57BL/6 NMU -/- wild-type and homozygous pancreatic tumor bearing mice was (30.38±0.37)% and (37.00±0.48)%, with a statistically significant difference between the two groups ( t = 9.79, P < 0.001). The absolute values of CD8 + T cells were (8.36±0.27)×10 4 and (10.20±0.28)×10 4, respectively, and the difference was statistically significant ( t = 3.71, P = 0.013). In the GEO database GSE102238 and GSE62452 datasets, there were differentially expressed genes in pancreatic cancer tissues compared with adjacent tissues, including 219 up-regulated genes and 325 down-regulated genes in pancreatic cancer tissues; among them, NMU was an upregulated differentially expressed gene. The relative expression of NMU mRNA in patients aged > 65 year or grade G3-G4 was higher than that in patients aged ≤ 65 years or grade G1-G2, and the differences were statistically significant (both P < 0.05). The analysis results of CIBERSORT algorithm showed that the expression abundance of CD8 + T cells, initial CD4 + T cells, activated memory CD4 + T cells, and γδ T cells in the high expression group of NMU was lower than that in the low expression group (all P < 0.05). The overall survival of the high expression group of NMU was worse than that of the low expression group in the OncoLnc database ( P = 0.010). GSEA enrichment analysis and Spearman correlation analysis revealed significant changes in the Hedgehog signaling pathway, biosynthesis of unsaturated fatty acids and pyrimidine nucleotide metabolism, which affected tumor metabolic remodeling. Conclusions:NMU may remodel the tumor microenvironment of pancreatic cancer by regulating Hedgehog signaling pathway.

Objective To develop nanobodies with broad-spectrum reactivity,specificity,and high sensitivity that can be used for detecting multiple subtypes of influenza A virus,and to establish a nanobody-based enzyme-linked immunosorbent assay(ELISA)method.Methods Gene sequences of twelve nanobodies against influenza A virus were retrieved from the National Center for Biotechnology Information(NCBI)and nanobody databases.The nanoantibodies were prepared using molecular biological techniques including gene synthesis and recombinant expression.The binding activity,specificity,sensitivity,and affinity of these nanobodies were determined by ELISA screening and Gator affinity analysis.A double-antibody sandwich ELISA assay was established by combining the selected nanobody with a traditional mouse monoclonal antibody.Results Twelve nanobodies were expressed and purified.Two nanobodies capable of binding to multiple subtypes of influenza virus including H1,H3,H5,H7,and H9 were obtained and designated as VHH54 and KV108.Both nanobodies showed no cross-reactivity with other respiratory virus antigens.Furthermore,the KV108 nanobody exhibited the highest binding affinity,with a dissociation constant of 5.94×10-9mol/L for the influenza virus nucleoprotein(NP),and the lowest detection concentration for the NP antigen reached 0.00064 μg/mL.The double-antibody sandwich ELISA,using a combination of KV108 and a mouse monoclonal antibody,could sensitively detect the five common subtypes of influenza A virus(H1N1,H3N2,H5N1,H7N9,and H9N2).The lowest detection limit reached 110-403 PFU/mL,which was higher than that of the commercial colloidal gold kitfor influenza virus detection.Conclusion This study has identified a nanobody KV108,which is capable of binding to multiple subtypes of influenza virus,and established a nanobody-based ELISA method that can detect multiple subtypes of influenza A virus.This study can facilitate the development of nanobody-based influenza detection technologies.

Objective:To investigate the influencing factors for safe abdominal wall recons-truction in giant ventral hernia based on imaging and clinical features.Methods:The retrospective case-control study was conducted. The imaging and clinical data of 369 patients with giant ventral hernia who were admitted to Beijing Chaoyang Hospital of Capital Medical University from January 2017 to December 2023 were collected. There were 182 males and 187 females, aged (63±14)years. Among 369 patients, 311 cases underwent safe abdominal wall reconstruction and 58 underwent high-risk abdominal wall reconstruction. Observation indicators: (1) clinical and imaging characteris-tics; (2) analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Logistic regression, Lasso regression, and random forest analyses were used for influencing factors analysis. Results:(1) Clinical and imaging characteristics. There were significant differences between patients with safe and high-risk abdominal wall reconstruction in presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, component separation index (CSI), abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect, hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio ( P<0.05). (2) Analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Results of Logistic regression analysis showed that presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, CSI, abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect (inner-superior or right), hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio were factors associated with safe abdominal wall reconstruction in giant ventral hernia [ odds ratio ( OR)=3.955, 1.189, 1.395, 1.127, 2.006, 1.042, 1.095, 0.881, 1.102, 1.109, 1.601, 95% confidence interval ( CI) as 2.179-7.178, 1.113-1.271, 1.267-1.537, 1.090-1.166, 1.651-2.437, 1.014-1.071, 1.066-1.125, 0.798-0.972, 1.057-1.148, 1.067-1.153, 1.343-1.909]. The top 3 factors for discriminative performance were abdominal wall CSI, ratio of CSI, maximum transverse diameter of the defect and the abdominal wall defect area, with area under the curve of 0.794, 0.777, 0.772, and 0.772, respectively. Results of Lasso regression analysis showed that body mass index, smoking, chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, presence of a definite secondary abdominal cavity, abdominal wall defect area, abdominal wall opening angle, abdominal wall CSI, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio were associated factors with safe abdominal wall reconstruction in giant ventral hernia (coefficients as -0.002, 0.003, 0.007, 0.014, 0.021, 0.077, 0.023, 0.059, -0.010, 0.037). Results of random forest analysis showed the abdominal wall CSI, maximum transverse diameter of the defect, abdominal wall defect area, ratio of defectr opening angle, maximum axial long diameter of the defect, hernia sac-to-abdominal cavity volume ratio, abdominal wall opening angle, defect long-axis-to-abdominal cavity ratio, muscle grayscale at the defect (inner-superior or right), and body mass index as associated factors with safe abdominal wall reconstruction in giant ventral hernia (importance score=0.092, 0.089, 0.079, 0.056, 0.051, 0.047, 0.045, 0.039, 0.038, 0.035). Conclusion:Abdominal wall CSI, abdominal wall defect area, abdominal wall opening angle, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio are factors associated with safe abdominal wall reconstruction in giant ventral hernia.

OBJECTIVE To explore the expressions of eosinophilic chemotactic factor 11(CCL11),leukotriene B4(LTB4),percentage of neutrophils(NEUT％)and C-reactive protein(CRP)in peripheral blood of the children with Mycoplasma pneumoniae(MP)infection complicated with plastic bronchitis and analyze the clinical signifi-cance.METHODS A total of 80 children with MP pneumonia complicated with plastic bronchitis who were trea-ted in the Second Hospital of Longyan City,Fujian Province from Jan.2020 to Dec.2023 were assigned as the study group,and 115 patients with MP pneumonia were chosen as the control group.The clinical data,manifesta-tions and Pediatric Risk of Mortality Ⅲ(PRISM Ⅲ)score were statistically analyzed.The levels of peripheral blood CCL11,LTB4,NEUT％and CRP were observed and compared between the two groups.Pearson analysis was performed for the associations of the levels of CCL11,LTB4,NEUT％and CRP with the PRISM Ⅲscore.The value of the joint detection of CCL11,LTB4,NEUT％and CRP in diagnosis of the MP pneumoni-a-induced plastic bronchitis was analyzed.RESULTS There were significant differences in reduction of bronchial breathing sound,pleural effusion and PRISM Ⅲ score between the two groups(P＜0.05).There were significant differences in the levels of peripheral blood CCL11,LTB4,NEUT％and CRP between the study group and the control group(P＜0.05);the CRP level of the study group was(29.42±8.14)mg/L,higher than that of the control group(t=10.138,P＜0.001).The levels of CCL11,LTB4,NEUT％and CRP were positively correlated with the PRISM Ⅲ score(r=0.723,0.710,0.771,0.754,respectively,all P＜0.001).The area under the curve(AUC)of the single detection of CCL11,LTB4,NEUT％and CRP was remarkably higher in diagnosis of MP pneumonia-induced plastic bronchitis than that of the joint detection of the four markers(P＜0.05).CONCLUSIONS The children with MP pneumonia complicated with plastic bronchitis show increased expressions of CCL11,LTB4,NEUT％and CRP.The four markers are positively correlated with the PRISM Ⅲ score.The four markers have high values in diagnosis of the MP pneumonia complicated with plastic bronchitis.

OBJECTIVE To explore the expressions of eosinophilic chemotactic factor 11(CCL11),leukotriene B4(LTB4),percentage of neutrophils(NEUT％)and C-reactive protein(CRP)in peripheral blood of the children with Mycoplasma pneumoniae(MP)infection complicated with plastic bronchitis and analyze the clinical signifi-cance.METHODS A total of 80 children with MP pneumonia complicated with plastic bronchitis who were trea-ted in the Second Hospital of Longyan City,Fujian Province from Jan.2020 to Dec.2023 were assigned as the study group,and 115 patients with MP pneumonia were chosen as the control group.The clinical data,manifesta-tions and Pediatric Risk of Mortality Ⅲ(PRISM Ⅲ)score were statistically analyzed.The levels of peripheral blood CCL11,LTB4,NEUT％and CRP were observed and compared between the two groups.Pearson analysis was performed for the associations of the levels of CCL11,LTB4,NEUT％and CRP with the PRISM Ⅲscore.The value of the joint detection of CCL11,LTB4,NEUT％and CRP in diagnosis of the MP pneumoni-a-induced plastic bronchitis was analyzed.RESULTS There were significant differences in reduction of bronchial breathing sound,pleural effusion and PRISM Ⅲ score between the two groups(P＜0.05).There were significant differences in the levels of peripheral blood CCL11,LTB4,NEUT％and CRP between the study group and the control group(P＜0.05);the CRP level of the study group was(29.42±8.14)mg/L,higher than that of the control group(t=10.138,P＜0.001).The levels of CCL11,LTB4,NEUT％and CRP were positively correlated with the PRISM Ⅲ score(r=0.723,0.710,0.771,0.754,respectively,all P＜0.001).The area under the curve(AUC)of the single detection of CCL11,LTB4,NEUT％and CRP was remarkably higher in diagnosis of MP pneumonia-induced plastic bronchitis than that of the joint detection of the four markers(P＜0.05).CONCLUSIONS The children with MP pneumonia complicated with plastic bronchitis show increased expressions of CCL11,LTB4,NEUT％and CRP.The four markers are positively correlated with the PRISM Ⅲ score.The four markers have high values in diagnosis of the MP pneumonia complicated with plastic bronchitis.

Objective:To investigate the influencing factors for safe abdominal wall recons-truction in giant ventral hernia based on imaging and clinical features.Methods:The retrospective case-control study was conducted. The imaging and clinical data of 369 patients with giant ventral hernia who were admitted to Beijing Chaoyang Hospital of Capital Medical University from January 2017 to December 2023 were collected. There were 182 males and 187 females, aged (63±14)years. Among 369 patients, 311 cases underwent safe abdominal wall reconstruction and 58 underwent high-risk abdominal wall reconstruction. Observation indicators: (1) clinical and imaging characteris-tics; (2) analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Logistic regression, Lasso regression, and random forest analyses were used for influencing factors analysis. Results:(1) Clinical and imaging characteristics. There were significant differences between patients with safe and high-risk abdominal wall reconstruction in presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, component separation index (CSI), abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect, hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio ( P<0.05). (2) Analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Results of Logistic regression analysis showed that presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, CSI, abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect (inner-superior or right), hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio were factors associated with safe abdominal wall reconstruction in giant ventral hernia [ odds ratio ( OR)=3.955, 1.189, 1.395, 1.127, 2.006, 1.042, 1.095, 0.881, 1.102, 1.109, 1.601, 95% confidence interval ( CI) as 2.179-7.178, 1.113-1.271, 1.267-1.537, 1.090-1.166, 1.651-2.437, 1.014-1.071, 1.066-1.125, 0.798-0.972, 1.057-1.148, 1.067-1.153, 1.343-1.909]. The top 3 factors for discriminative performance were abdominal wall CSI, ratio of CSI, maximum transverse diameter of the defect and the abdominal wall defect area, with area under the curve of 0.794, 0.777, 0.772, and 0.772, respectively. Results of Lasso regression analysis showed that body mass index, smoking, chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, presence of a definite secondary abdominal cavity, abdominal wall defect area, abdominal wall opening angle, abdominal wall CSI, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio were associated factors with safe abdominal wall reconstruction in giant ventral hernia (coefficients as -0.002, 0.003, 0.007, 0.014, 0.021, 0.077, 0.023, 0.059, -0.010, 0.037). Results of random forest analysis showed the abdominal wall CSI, maximum transverse diameter of the defect, abdominal wall defect area, ratio of defectr opening angle, maximum axial long diameter of the defect, hernia sac-to-abdominal cavity volume ratio, abdominal wall opening angle, defect long-axis-to-abdominal cavity ratio, muscle grayscale at the defect (inner-superior or right), and body mass index as associated factors with safe abdominal wall reconstruction in giant ventral hernia (importance score=0.092, 0.089, 0.079, 0.056, 0.051, 0.047, 0.045, 0.039, 0.038, 0.035). Conclusion:Abdominal wall CSI, abdominal wall defect area, abdominal wall opening angle, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio are factors associated with safe abdominal wall reconstruction in giant ventral hernia.

Objective:To construct an in situ pancreatic tumor model in mice and explore the mechanism of neuromedin U (NMU) remodeling the metabolic microenvironment of pancreatic tumors via the Hedgehog signaling pathway.Methods:C57BL/6 NMU -/- heterozygous mice were bred in one cage with a female-to-male ratio of 2:1. The tail tissues of offspring rats were taken, and knockout primers were designed according to the sequence structure of NMU gene. The C57BL/6 NMU -/- mouse genotypes were identified by polymerase chain reaction (PCR) and agarose gel electrophoresis. Five C57BL/6 NMU -/- homozygotes and five wild type mice aged 8 to 9 weeks were selected, and Panc02 cell suspension of pancreatic cancer in logarithmic growth phase was injected into pancreatic tail tissue to construct tumor bearing mice model of pancreatic tumor in situ. After 3 weeks of tumor loading, flow cytometry was used to detect the abundance changes of CD8 + T cells in the spleen tissues of two groups of mice. GSE102238 (data published in August 2017) and GSE62452 (data published in July 2016) datasets were download from the Gene Expression Omnibus (GEO) database, including 119 samples of pancreatic cancer tissue and 111 samples of normal pancreatic tissue adjacent to cancer, and the differential expression factors of the two groups of samples were screened. R language limma package was used to analyze the differential expression of NMU mRNA in pancreatic cancer tissues and adjacent normal tissues; the relative expression level of NMU mRNA in pancreatic cancer patients of different ages and tumor grades was analyzed by ggpubr package. The relative expression level data of NMU mRNA in pancreatic tumor patients were extracted, and the patients were divided into high expression group (>2.48) and low expression group (<2.48) based on the median value (2.48). The CIBERSORT algorithm was used to calculate the difference in the content of infiltrating immune cells in pancreatic tumors between the two groups of patients. The overall survival of patients with different relative expression levels of NMU mRNA in the OncoLnc database (59 cases in the high expression group and 59 cases in the low expression group) was compared. The data of 178 patients with pancreatic cancer in TCGA-PAAD of The Cancer Genome Atlas (TCGA) database (updated in March 2024) were download. According to the median value of relative expression of NMU mRNA (2.740), the patients were divided into the high expression group (>2.740) and the low expression group (<2.740), with 89 cases in each group. GSEA software was used to analyze the biological functions and pathways in which the genes enriched significantly. The molecules and key targets for molecular docking were explored using the large molecule protein interaction tool PDBePISA. Spearman correlation analysis was performed using R language data packets. Results:The results of C57BL/6 NMU -/- mouse genotypes analyzed by using the gel electrophoresis pattern of PCR amplification products of tail tissues showed that the wild type was one 380 bp electrophoretic band, the homozygous type was one 450 bp electrophoretic band, and the heterozygous type was 450 bp and 380 bp electrophoretic bands. After identifying and screening pure strains mouse, reproduction was carried out, and C57BL/6 NMU -/- homozygous mice were successfully obtained. The results of flow cytometry analysis showed that the proportion of CD8 + T cells in the spleen tissues of C57BL/6 NMU -/- wild-type and homozygous pancreatic tumor bearing mice was (30.38±0.37)% and (37.00±0.48)%, with a statistically significant difference between the two groups ( t = 9.79, P < 0.001). The absolute values of CD8 + T cells were (8.36±0.27)×10 4 and (10.20±0.28)×10 4, respectively, and the difference was statistically significant ( t = 3.71, P = 0.013). In the GEO database GSE102238 and GSE62452 datasets, there were differentially expressed genes in pancreatic cancer tissues compared with adjacent tissues, including 219 up-regulated genes and 325 down-regulated genes in pancreatic cancer tissues; among them, NMU was an upregulated differentially expressed gene. The relative expression of NMU mRNA in patients aged > 65 year or grade G3-G4 was higher than that in patients aged ≤ 65 years or grade G1-G2, and the differences were statistically significant (both P < 0.05). The analysis results of CIBERSORT algorithm showed that the expression abundance of CD8 + T cells, initial CD4 + T cells, activated memory CD4 + T cells, and γδ T cells in the high expression group of NMU was lower than that in the low expression group (all P < 0.05). The overall survival of the high expression group of NMU was worse than that of the low expression group in the OncoLnc database ( P = 0.010). GSEA enrichment analysis and Spearman correlation analysis revealed significant changes in the Hedgehog signaling pathway, biosynthesis of unsaturated fatty acids and pyrimidine nucleotide metabolism, which affected tumor metabolic remodeling. Conclusions:NMU may remodel the tumor microenvironment of pancreatic cancer by regulating Hedgehog signaling pathway.

Objective To compare the consistency between the estimated values of nine common resting energy expenditure estimation equations and the measured values among the elderly population in pension institutions. Methods A total of 181 elderly individuals from Henan Guangda Ouan Leling Nursing Center were recruited as study objects through cluster sampling. The differences between the estimated values of nine common equations and the measured values obtained by indirect calorimetry were compared, and subgroup analyses were conducted to compare their consistency across different subgroups. Results Among the nine equations, the Cunningham equation and the Owen equation showed relatively small deviations from the measured values, with no significant differences (deviation rates of -1.9% and -2.0%, root mean square errors of 222.7 kcal/d and 239.4 kcal/d, and coincidence rates of 48.4% and 47.5%, respectively). In subgroups stratified by gender and body mass index (BMI), the Cunningham equation showed no significant difference compared with the measured values. The Owen equation showed no significant difference compared with the measured values only in some subgroups [males with BMI of 20~ < 27 kg/m² and ≥27 kg/m², and females with BMI < 20 kg/m²]. Conclusion The Cunningham equation, which utilizes body composition data, can assess the resting energy expenditure of the elderly in pension institutions with relatively high accuracy and speed, demonstrating strong applicability in this population.

BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.