Objective To analyze the acupoint selection law in acupuncture treatment for sinusitis using data mining techniques.Methods Relevant literature on acupuncture treatment for sinusitis was retrieved from CNKI,Wanfang Data,VIP and CBM from January 1,2000 to December 20,2024.Descriptive statistics were performed on the frequency of acupoint usage,meridian tropism,and regional distribution.SPSS Modeler 18.0,Cytoscape 3.10.3 and Origin Pro were employed to conduct association rule mining,co-occurrence network analysis,and systematic cluster analysis on the acupoints.Results A total of 69 articles were included,yielding 114 acupoint prescriptions involving 65 distinct acupoints.The most frequently used acupoints were Yingxiang,Yintang and Hegu,etc.;the most commonly used meridians were large intestine meridian,Governor Vessel,gallbladder meridian and bladder meridian.Acupoint selection was predominantly concentrated in the head/neck region,lower limbs and upper limbs.Among the specific acupoint categories,Jiaohui acupoint,Wushu acupoint and Yuan acupoint were used most frequently.The acupoint combinations with the strongest associations were Hegu-Yingxiang,Hegu-Yintang-Yingxiang and Fengchi-Yingxiang.The top 22 high-frequency acupoints could be grouped into 5 clusters.Conclusion Acupuncture treatment for sinusitis can exert the functions to disperse wind and unblock the orifices,drain heat and resolve turbidity,expel pathogens and alleviate pain,tonify deficiency and dissipate cold,as well as harmonize qi and blood.The characteristics of acupoint combination include a primary focus on local points supplemented by distal points,pattern differentiation-based selection,and a propensity for unblocking yang qi.The core acupuncture formula is Yingxiang-Yintang-Hegu-Fengchi.

Objective To examine the significance of susceptible gene detection for hereditary cancer syndrome (HCS) among general population. Methods A total of 2 928 individuals undergoing routine health examinations in Healthcare Center of Zhongshan Hospital, Fudan University, from September 2021 to April 2024 were enrolled retrospectively. Next generation sequencing was employed to identify susceptible genes for HCS. American College of Medical Genetics and Genomics (ACMG) guideline was used to analyze the pathogenicity of variants. Clinical data, imagings, follow-up data were also collected. Results The overall mutation rate of HCS panel was 3.59% (105/2 928), with 0.61% (18/2 928) for MutY DNA glycosylase (MUTYH), 0.27% (8/2 928) for breast cancer susceptibility gene 1/2 (BRCA1/2) and 0.23% (7/2 928) for mismatch repair (MMR) genes. Conclusions Healthy individuals carrying tumor susceptible genes usually lack the relevant clinical phenotypes. Whether comprehensive testing needs to be carried out among healthy people remains to be further explored.

Objective:To analyze the relationship between clinicopathological features and germline mismatch repair (MMR) gene variants in endometrial cancer patients and to evaluate the clinical utility of germline multi-gene panel testing.Methods:This single-center, retrospective case series study included 100 endometrial cancer patients treated in Zhongshan Hospital, Fudan University between July 2022 and February 2024. We collected clinicopathological data and tumor molecular testing results. 61 cancer susceptibility genes were tested using next-generation sequencing, and the associations between the detection rate of germline variants and the clinicopathological characteristics in endometrial cancer patients were explored.Results:Among 100 patients, 28% (28/100) were found to have pathogenic variants in cancer susceptibility genes, of which 20 patients carried germline MMR gene variants and the remaining 8 patients carried variants in other cancer susceptibility genes. Of the 20 patients diagnosed with Lynch syndrome, only 40% (8/20) met the Chinese family history criteria for Lynch syndrome. Among 53 patients with intact MMR protein expression, 1 patient was identified with a germline MMR gene variant. In the 14 Lynch syndrome patients with confirmed microsatellite status, 5/14 of those showed low microsatellite instability or microsatellite stability. Germline multi-gene panel testing in all endometrial cancer patients additionally identified 1 Lynch syndrome patient and 8 patients with non-Lynch hereditary cancers.Conclusion:Current clinical screening criteria may miss some endometrial cancer patients with Lynch syndrome. Compared with traditional screening pattern, germline multi-gene panel testing not only improves the detection rate of Lynch syndrome in endometrial cancer patients but also identifies other hereditary cancer predispositions.

Objective:To investigate the gender differences in the causal relationship between testosterone-related hormones and type 2 diabetes mellitus(T2DM), and to analyze the mediating role of blood lipids in this relationship.Methods:Using two-sample Mendelian randomization(TSMR) and two-step Mendelian randomization(MR) methods, we explored the causal associations between testosterone-related hormones, T2DM, and blood lipids in different genders. The potential mediating role of blood lipids between testosterone-related hormones and T2DM was quantitatively assessed using multivariate Mendelian Randomization(MVMR).Results:In males, each standard deviation( SD) increase in genetically predicted total testosterone(TT) was associated with lower odds of T2DM( OR=0.90, 95% CI 0.82-0.97, P=0.009) and higher high-density lipoprotein-cholesterol(HDL-C) level( β=0.08 SD, 95% CI 0.03-0.13, P=0.002). In women, each SD rise in genetically predicted bioavailable testosterone(Bio-T) was associated with higher odds of T2DM( OR=1.24, 95% CI 1.10-1.40, P<0.001), lower HDL-C level( β=-0.13 SD, 95% CI -0.21--0.05, P<0.001). Mediation analysis revealed that HDL-C played a mediating role(7.83%) between Bio-T and T2DM in women. However, HDL-C showed no mediating effect between SHBG and TT levels on T2DM, and low-density lipoprotein-cholesterol(LDL-C) showed no mediating effect between TT levels on T2DM in men. Conclusions:Lower levels of TT and SHBG in men, and high levels of Bio-T in women may increase the risk of T2DM. In women, regulating HDL-C levels may offer a potential strategy for the prevention and treatment of T2DM related to Bio-T disorders.

Objective To analyze the acupoint selection law in acupuncture treatment for sinusitis using data mining techniques.Methods Relevant literature on acupuncture treatment for sinusitis was retrieved from CNKI,Wanfang Data,VIP and CBM from January 1,2000 to December 20,2024.Descriptive statistics were performed on the frequency of acupoint usage,meridian tropism,and regional distribution.SPSS Modeler 18.0,Cytoscape 3.10.3 and Origin Pro were employed to conduct association rule mining,co-occurrence network analysis,and systematic cluster analysis on the acupoints.Results A total of 69 articles were included,yielding 114 acupoint prescriptions involving 65 distinct acupoints.The most frequently used acupoints were Yingxiang,Yintang and Hegu,etc.;the most commonly used meridians were large intestine meridian,Governor Vessel,gallbladder meridian and bladder meridian.Acupoint selection was predominantly concentrated in the head/neck region,lower limbs and upper limbs.Among the specific acupoint categories,Jiaohui acupoint,Wushu acupoint and Yuan acupoint were used most frequently.The acupoint combinations with the strongest associations were Hegu-Yingxiang,Hegu-Yintang-Yingxiang and Fengchi-Yingxiang.The top 22 high-frequency acupoints could be grouped into 5 clusters.Conclusion Acupuncture treatment for sinusitis can exert the functions to disperse wind and unblock the orifices,drain heat and resolve turbidity,expel pathogens and alleviate pain,tonify deficiency and dissipate cold,as well as harmonize qi and blood.The characteristics of acupoint combination include a primary focus on local points supplemented by distal points,pattern differentiation-based selection,and a propensity for unblocking yang qi.The core acupuncture formula is Yingxiang-Yintang-Hegu-Fengchi.

Objective:To investigate the gender differences in the causal relationship between testosterone-related hormones and type 2 diabetes mellitus(T2DM), and to analyze the mediating role of blood lipids in this relationship.Methods:Using two-sample Mendelian randomization(TSMR) and two-step Mendelian randomization(MR) methods, we explored the causal associations between testosterone-related hormones, T2DM, and blood lipids in different genders. The potential mediating role of blood lipids between testosterone-related hormones and T2DM was quantitatively assessed using multivariate Mendelian Randomization(MVMR).Results:In males, each standard deviation( SD) increase in genetically predicted total testosterone(TT) was associated with lower odds of T2DM( OR=0.90, 95% CI 0.82-0.97, P=0.009) and higher high-density lipoprotein-cholesterol(HDL-C) level( β=0.08 SD, 95% CI 0.03-0.13, P=0.002). In women, each SD rise in genetically predicted bioavailable testosterone(Bio-T) was associated with higher odds of T2DM( OR=1.24, 95% CI 1.10-1.40, P<0.001), lower HDL-C level( β=-0.13 SD, 95% CI -0.21--0.05, P<0.001). Mediation analysis revealed that HDL-C played a mediating role(7.83%) between Bio-T and T2DM in women. However, HDL-C showed no mediating effect between SHBG and TT levels on T2DM, and low-density lipoprotein-cholesterol(LDL-C) showed no mediating effect between TT levels on T2DM in men. Conclusions:Lower levels of TT and SHBG in men, and high levels of Bio-T in women may increase the risk of T2DM. In women, regulating HDL-C levels may offer a potential strategy for the prevention and treatment of T2DM related to Bio-T disorders.

Objective:To analyze the relationship between clinicopathological features and germline mismatch repair (MMR) gene variants in endometrial cancer patients and to evaluate the clinical utility of germline multi-gene panel testing.Methods:This single-center, retrospective case series study included 100 endometrial cancer patients treated in Zhongshan Hospital, Fudan University between July 2022 and February 2024. We collected clinicopathological data and tumor molecular testing results. 61 cancer susceptibility genes were tested using next-generation sequencing, and the associations between the detection rate of germline variants and the clinicopathological characteristics in endometrial cancer patients were explored.Results:Among 100 patients, 28% (28/100) were found to have pathogenic variants in cancer susceptibility genes, of which 20 patients carried germline MMR gene variants and the remaining 8 patients carried variants in other cancer susceptibility genes. Of the 20 patients diagnosed with Lynch syndrome, only 40% (8/20) met the Chinese family history criteria for Lynch syndrome. Among 53 patients with intact MMR protein expression, 1 patient was identified with a germline MMR gene variant. In the 14 Lynch syndrome patients with confirmed microsatellite status, 5/14 of those showed low microsatellite instability or microsatellite stability. Germline multi-gene panel testing in all endometrial cancer patients additionally identified 1 Lynch syndrome patient and 8 patients with non-Lynch hereditary cancers.Conclusion:Current clinical screening criteria may miss some endometrial cancer patients with Lynch syndrome. Compared with traditional screening pattern, germline multi-gene panel testing not only improves the detection rate of Lynch syndrome in endometrial cancer patients but also identifies other hereditary cancer predispositions.

Objective·To develop a machine learning approach for early identification of metabolic syndromes associated with inflammatory metabolic state changes in breast cancer patients after neoadjuvant therapy,using common laboratory and transthoracic echocardiography indices.Methods·Female patients with primary invasive breast cancer diagnosed at the Department of Breast Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,between September 2020 and September 2022,were included.General patient information,laboratory test results,and transthoracic echocardiography data were collected.After feature extraction,five machine learning algorithms,including random forest(RF),gradient boosting(GB),support vector machine(SVM),K-nearest neighbor(KNN),and decision tree(DT),were applied to construct a prediction model for the changes of the patients' metabolic state after neoadjuvant therapy,and the prediction performances of the five models were compared.Results·A total of 232 cases with valid clinical data were included,comprising 135 cases before neoadjuvant therapy and 97 cases after completing 4 cycles of neoadjuvant therapy.Feature extraction identified five key features:white blood cell count,hemoglobin,high-density lipoprotein(HDL),interleukin-2 receptor,and interleukin-8.In the multi-feature analysis,the area under the receiver operating characferistic curve(AUC)was higher in the combination of white blood cell count,hemoglobin and HDL compared to the combination of interleukin-2 receptor and interleukin-8(RF:0.928 vs 0.772,GB:0.900 vs 0.792,SVM:0.941 vs 0.764,KNN:0.907 vs 0.762,DT:0.799 vs 0.714).The RF,SVM,and GB models showed higher AUC(0.928,0.941,0.900)and accuracy(0.914,0.897,0.776).The SVM model exhibited superior accuracy in the training data compared to the RF and GB models(P=0.394,0.122 and 0.097,respectively).Conclusion·The SVM model can be used to establish a prediction model for identifying breast cancer patients at high risk of developing inflammatory metabolic state-related metabolic syndrome after neoadjuvant therapy by incorporating five common clinical indicators,namely,white blood cell count,hemoglobin,high-density lipoprotein,interleukin-2 receptor,and interleukin-8.SVM modeling may be useful for clinicians to establish individualized screening protocols based on a patient's inflammatory metabolic state.

Objective To systematically evaluate the incidence rate of low-level viremia(LLV)in chronic hepatitis B(CHB)patients and related influencing factors,and to provide evidence-based medicine evidence for effective intervention and prevention of LLV in clinical practice.Methods This study was conducted according to the PRISMA guideline,with a PROSPERO registration number of CRD42023455304.CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Web of Science,and the Cochrane library were searched for observational studies on LLV and related influencing factors in CHB patients published up to July 21,2023.Stata 16.0 software was used to perform the meta-analysis.Results A total of 12 articles were included,with a total sample size of 3408 cases,among whom there were 1181 patients with LLV.The meta-analysis showed that the incidence rate of LLV was 32.8%(95%confidence interval[CI]:27.6%—38.3%)in treatment-experienced CHB patients.High HBsAg quantification(odds ratio[OR]=2.107,95%CI:1.782—2.491,P<0.001),positive HBeAg(OR=3.258,95%CI:2.629—4.038,P<0.001),high HBV DNA level at baseline(OR=1.286,95%CI:1.157—1.430,P<0.001),and history of entecavir treatment(OR=3.089,95%CI:1.880—5.074,P<0.001)were risk factors for LLV;duration of antiviral therapy≥3 years(OR=0.175,95%CI:0.093—0.331,P<0.001)and high alanine aminotransferase level at baseline(OR=0.985,95%CI:0.978—0.992,P<0.001)were protective factors against LLV.The sensitivity analysis showed no significant change in effective value,suggesting that the results of the meta-analysis were relatively stable.The funnel plot of the studies included was basically symmetrical,and the results of the Egger's test and the Begg's test suggested that there was no obvious publication bias in the articles included.Conclusion Clinicians should guide decision making based on the influencing factors for LLV and related clinical evidence,so as to reduce long-term clinical risks and avoid adverse outcomes.

Objective:To analyze the short-term clinical outcomes of total laparoscopic distal gastrectomy (TLDG) and laparoscopic-assisted distal gastrectomy (LADG) combined with Billroth-Ⅱ+Braun anastomosis.Methods:Clinical characteristics of patients undergoing laparoscopic distal gastrectomy combined with Billroth-Ⅱ+Braun anastomosis at Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University from Jan 2020 to Oct 2022 were analyzed. Patients were divided into TLDG group ( n=62) and LADG group ( n=62) according to the surgical approach. Results:There were significant differences in the preoperative clinical data section between the two groups, and 124 patients (62 in each group) were enrolled after using propensity score matching to balance significant variables. Compared with the LADG group, the TLDG group showed statistically differences in time to first venting [(2.9±1.3) vs. (2.3±0.8) d, Z=-3.072, P=0.002], time to first fluid diet [(5.9±1.3) vs. (5.4±1.4) d, Z=-2.031, P=0.042] and incision length [(7.1±1.4) vs. (4.8±0.8) cm, Z=-6.331, P=0.000]. Total postoperative complication rate in the TLDG group and the LADG group (29% vs. 37%, χ2=0.911, P=0.340) was not statistically significant. Incidence of postoperative pneumonia was lower in the TLDG group than in the LADG group (3% vs. 13%, χ2=3.916, P=0.048), and incidence of all remaining postoperative complications were not statistically significant. There was no statistically significant difference in the incidence of serious postoperative complications between the TLDG and LADG groups ( P=1.000). Multifactorial analysis revealed that male ( P=0.023) and age ≥65 years ( P=0.001) were independent risk factors for postoperative complications. Conclusion:TLDG is safe and feasible and has better short-term clinical efficacy than LADG.