There are more than 3 000 kinds of volatile organic compounds (VOCs) in human exhaled gas, which are directly or indirectly related to the pathophysiological process of the body. Therefore, the detection and quantitative analysis of VOCs in vivo is helpful for the early detection, diagnosis and evaluation of treatment results. Breath analysis is a simple, noninvasive, painless, economic and time-saving detection method. It is a new field of rapid development, and has great potential in disease screening and clinical diagnosis. In this paper, the application of human exhaled gas analysis in clinical disease diagnosis and the latest progress in this field will be summarized.

Objective To discuss factors related to clinical characteristics,biological behavior,and prognosis in gastric stromal tumors (GST).Methods We retrospectively analyzed clinical materials and records of 70 GST patients diagnosed after surgery and pathological examinations,all patients were contacted by telephone or mail for follow-up.Results (1) All GST patients had similar distribution of gender,and had age range of 50 to 69 years with mean age of 59.1 years.Clinical symptoms were non-specific,and main clinical manifestations included abdominal discomfort (42.9％),followed by abdominal pain (37.1％),and upper digestive tract hemorrhage (7.1％).(2) Sex,age,presenting symptoms,and original location of tumors were not significantly related to prognosis (P ＞ 0.05).However,size of the tumor,mitosis count,and the malignancy potential grading were significantly associated with patient prognosis.Among them,size of the tumor (maximum tumor diameter ＞ 5 cm vs ＜ 2 cm,HR =21.3,95％ CI:5.9-77.0;maximum tumor diameter 2-5 cm vs ＜ 2 cm,HR =2.3,95％ CI:1.2-7.8),and mitosis count (mitosis count ＞ 10/50 HPF vs mitosis count ≤5/50 HPF,HR =22.5,95％ CI:8.6-58.6;6-10/50 HPF vs ≤5/50 HPF,HR =11.1,95％ CI:9.9-12.3) were independently associated with GST prognosis.Conclusions Tumor size,mitosis count,and malignancy potential grading were associated with prognosis of GST.Among them,tumor size and mitosis count were independent predictors of prognosis.When the tumor size is larger,and mitotic count and the malignant potential grade is higher,prognosis of GST patients were worse.

Objective:To investigate the changes in plasma ghrelin and influencing factors of weight loss effects after laparoscopic sleeve gastrectomy combined with fundoplication surgery (LSGFD).Methods:The retrospective cohort study was conducted. The clinical data of 115 obesity patients who were admitted to the People′s Hospital of Xinjiang Uygur Autonomous Region from April to June 2023 were collected. There were 37 males and 78 females, aged (37±9)years. Of 115 pati-ents, 93 cases undergoing laparoscopic sleeve gastrectomy (LSG) were divided into the LSG group, and 22 cases undergoing LSGFD were divided into the LSGFD group. Measurement data with normal distribution were represented as Mean± SD, and the independent sample t test was used for com-parison between groups. Count data were described as absolute numbers, and the chi-square test was used for comparison between groups. Repeated measurement data were analyzed using the repeated ANOVA, and their variances were tested using a spherical test. The Logistic regression model was used for univariate and multivariate analyses. Results:(1) Changes in preoperative and postoperative plasma ghrelin in two groups of patients. The plasma ghrelin of patients at preopera-tive and postoperative 6 months changed from (16±14)×10 2 ng/L to (10±4)×10 2 ng/L in the LSG group and changed from (12±11)×10 2 ng/L to (11±3)×10 2 ng/L in the LSGFD group. There was no significant difference in the time effect, inter group effect, and interaction effect of changes in plasma ghrelin between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=2.199, Fgroup=0.001, Finteraction=0.793, P>0.05). There was a significant difference in plasma ghrelin in the LSG group before and after surgery at 6 months ( t=4.148, P<0.05), and there was no significant difference in plasma ghrelin in the LSGFD group before and after surgery at 6 months ( t=0.622, P>0.05). (2) Changes in preoperative and postoperative weight loss and metabolic related indicators in two groups of patients. ① There was a significant difference in the time effect of changes in body mass between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=242.285, P<0.05), and there was no significant difference in the inter group effect and interaction effect of changes in body mass between the LSG group and the LSGFD group before and after surgery at 6 months ( Fgroup=1.163, Finteraction=0.606, P>0.05). There were significant differences in body mass in the LSG group or the LSGFD group before and after surgery at 6 months ( t=23.597, 14.680, P<0.05). ② There was a significant difference in the time effect of changes in body mass index (BMI) between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=382.431, P<0.05), and there was no significant difference in the inter group effect and interaction effect of changes in BMI between the LSG group and the LSGFD group before and after surgery at 6 months ( Fgroup=1.619, Finteraction=1.085, P>0.05). There were significant differences in BMI in the LSG group or the LSGFD group before and after surgery at 6 months ( t=25.645, 16.628, P<0.05). ③ There was a significant difference in the time effect of changes in excess weight loss (%EWL) between the LSG group and the LSGFD group after surgery at 1 to 6 months ( Ftime=666.136, P<0.05), and there was no significant difference in the inter group effect and interaction effect of changes in %EWL between the LSG group and the LSGFD group after surgery at 1 to 6 months ( Fgroup=0.127, Finteraction=0.498, P>0.05). ④ There was no significant difference in the time effect, inter group effect, and interaction effect of changes in fasting blood glucose between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=1.573, Fgroup=1.872, Finteraction=0.948, P>0.05). There was a significant difference in fasting blood glucose in the LSG group before and after surgery at 6 months ( t=2.675, P<0.05), and there was no significant difference in fasting blood glucose in the LSGFD group before and after surgery at 6 months ( t=1.074, P>0.05). ⑤ There were significant differences in the inter group effect and interaction effect of changes in triglyceride between the LSG group and the LSGFD group before and after surgery at 6 months ( Fgroup=8.419, Finteraction=3.180, P<0.05), and there was no significant diffe-rence in the time effect of changes in triglyceride between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=1.398, P>0.05). Results of individual effect shown that there was no significant difference in triglyceride in the LSG group or the LSGFD group before and after surgery at 3 months ( F=2.956, 3.248, P>0.05), and there were significant differences in trigly-ceride in the LSG group or the LSGFD group after surgery at 1 month and 6 months ( F=14.152, 3.477, P<0.05). There was a significant difference in triglyceride in the LSG group before and after surgery at 6 months ( t=3.164, P<0.05), and there was no significant difference in triglyceride in the LSGFG group before and after surgery at 6 months ( t=0.023, P>0.05). ⑥ There were significant differences in the time effect and inter group effect of changes in total cholesterol between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=3.662, Fgroup=7.591, P<0.05), and there was no significant difference in the interaction effect of changes in total cholesterol between the LSG group and the LSGFD group before and after surgery at 6 months ( Finteraction=0.626, P>0.05). There was a significant difference in cholesterol in the LSG group before and after surgery at 6 months ( t=3.253, P<0.05), and there was no significant difference in total cholesterol in the LSGFG group before and after surgery at 6 months ( t=1.567, P>0.05). ⑦ There were significant differences in the time effect and inter group effect of changes in uric acid between the LSG group and the LSGFD group before and after surgery at 6 months ( Ftime=15.306, Fgroup=4.244, P<0.05), and there was no significant difference in the interaction effect of changes in uric acid between the LSG group and the LSGFD group before and after surgery at 6 months ( Finteraction=0.968, P>0.05). There were significant differ-ences in uric acid in the LSG group or the LSGFG group before and after surgery at 6 months ( t=6.152, 3.660, P<0.05). (3) Analysis of influencing factors on postoperative weight loss effects. Results of multivariate analysis showed that preoperative BMI, postoperative 6 months plasma ghrelin were independent protective factors for postoperative weight loss effects ( odds ratio=0.881, 0.673, 95% confidence interval as 0.817-0.950, 0.577-0.787, P<0.05). Conclusions:The decrease in plasma ghrelin in patients after LSGFD is not as obvious as that in patients after LSG, but it can achieve the same weight loss and metabolic improvement effects as after LSG. The lower preoperative BMI and postoperative 6 months plasma ghrelin are independent protective factors for postoperative weight loss effects.

Objective To investigate the association of the polymorphisms of the FGB gene rs4220 and rs1044291 loci with plasma fibrinogen (Fg) level and gallstones in Xinjiang, China. Methods Blood samples were collected from 150 Uygur and Han patients with gallstones and 150 Uygur and Han individuals without gallstones who were hospitalized or underwent physical examination in The People's Hospital of Xinjiang Uygur Autonomous Region from December 2017 to May 2020. Plasma Fg level was measured, and based on the previous results of whole exon sequencing of the FGB gene, the SNaPshot method was used to identify the genotype at rs4220 and rs1044291 loci of the FGB gene. The t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between two groups; a multivariate logistic regression analysis was used to investigate the association between each variable and gallstones. Results For the Chinese Han population, the gallstones group had a significantly higher plasma Fg level than the control group [2.90 (2.43-3.49) g/L vs 2.47 (2.06-3.02) g/L, Z =-3.62, P < 0.01), while there was no significant difference in the Uyghur population. There were no significant differences in the frequencies of genotypes and alleles at the rs4220 and rs1044291 loci of the FGB gene between the gallstones group and the control group in both Uyghur and Han populations (all P > 0.05). For the Chinese Han population, the subjects carrying GG genotype at the rs4220 locus in the gallstones group had a significantly higher plasma Fg level than those in the control group [2.84(2.32-3.61) g/L vs 2.34(2.05-2.75) g/L, Z =-3.04, P < 0.05], and the subjects carrying T genotype at the rs1044291 locus had a significantly higher plasma Fg level than those in the control group (3.08±0.75 g/L vs 2.48±0.48 g/L, t =2.80, P < 0.05). For the Uyghur population, only the subjects carrying A genotype at the rs4220 locus in the gallstones group had a significantly lower plasma Fg level than those in the control group [2.84(2.08-3.06) g/L vs 3.10(2.85-3.98) g/L, Z =-2.41, P < 0.05]. There was no significant difference in plasma Fg level between the subjects carrying different genotypes within the gallstones group or the control group for both Uyghur and Han populations (all P > 0.05). Conclusion The influence of FGB gene polymorphism on plasma Fg level may be associated with race, and FGB gene polymorphisms at the rs4220 and rs1044291 loci may be involved in the pathogenesis of gallstones by regulating Fg level in the population in Xinjiang.