Polycystic ovary syndrome （PCOS）， a common reproductive endocrine disorder in women， is one of the leading causes of ovulatory infertility in women of reproductive age. Due to its heterogeneous etiology， complex symptoms， and challenging treatment， PCOS has become a focal point of research in gynecological and reproductive medicine globally. The pathogenesis of PCOS is complex and may involve regulatory mechanisms such as inflammatory responses， oxidative stress， and cellular autophagy. Crown-like structures （CLSs） refer to pro-inflammatory microenvironments formed by macrophages engulfing adipocytes. The inflammatory disorders induced by CLSs are one of the key factors contributing to the development of PCOS and its complications. Current studies have indicated that the obese status in PCOS accelerates the formation of CLSs， and the density of CLSs can predict the progression of metabolic disorders and influence the outcomes of various metabolic diseases. Traditional Chinese Medicine （TCM） offers the unique advantages of a holistic view， four diagnostic methods， and syndrome differentiation and treatment to ameliorate the symptoms and signs of PCOS through multiple levels， pathways， and targets. Although studies on the mechanisms of metabolic diseases and CLS formation have been reported in China and abroad， there is still a lack of literature on the correlation between CLSs and PCOS， as well as reviews on TCM interventions targeting CLSs for treating this disease. Therefore， this paper summarized the correlation between obese PCOS and CLSs and reviewed recent studies on TCM interventions based on CLS formation （adipose tissue-macrophage inflammatory crosstalk） in the treatment of obese PCOS， aiming to provide new research perspectives for the prevention and treatment of PCOS using TCM.

Objective To investigate the impact of nutritional risk-based intervention on the quality of life and survival prognosis of patients with the locally advanced pancreatic cancer and undergoing the chemotherapy.Methods A total of 118 patients with the pancreatic cancer and admitted to the Department of Hepatobiliary and Minimally Invasive Surgery,Lincang People's Hospital from April 2021 to April 2024 were selected and randomly divided into the nutritional intervention group and the control group,with 59 patients in each group.All patients received the palliative chemotherapy,and the control group received the routine dietary guidance,while the intervention group received the nutritional intervention based on the nutritional risk score.The nutritional status,quality of life score,and survival prognosis of the two groups were compared.Results The NRS2002 score of the intervention group and the control group gradually increased from the first to the sixth chemotherapy,and the NRS2002 score of the intervention group was lower than that of the control group at the 4th,5th,and 6th chemotherapy(P<0.05).The incidence of malnutrition in the intervention group was lower than that of the control group at the 1st,2nd,and 3rd chemotherapy(11.9%,30.9%,and 32.2%,respectively),but there was no significant difference(P>0.05);The incidence of malnutrition in the intervention group was significantly lower than that of the control group at the 4th,5th,and 6th chemotherapy(32.2%,45.8%,and 52.5%,respectively),while the incidence of malnutrition in the control group was 59.3%,69.5%,and 88.5%,respectively(P<0.05);The quality of life score of the intervention group in all dimensions was significantly higher than that of the control group after the treatment(P<0.05).After the nutritional intervention,the median OS time and median PFS time of the patients were significantly improved(P<0.05).Conclusion Nutritional intervention can reduce the nutritional risk during the chemotherapy for locally advanced pancreatic cancer patients and improve their quality of life.

Gastric cancer has high incidence and mortality rate. Chemotherapy is the first-line treatment for gastric cancer and has achieved considerable success. However, due to genetic variations and tumor heterogeneity, the effectiveness of chemothrapy drugs varies among different patients. Therefore, accurate assessment of patient’s sensitivity to chemotherapy drugs is crucial for personalized treatment. Gastric cancer organoids serve as effective tools for predicting patient’s sensitivity to chemotherapy drugs. This review summarizes the applications and related research progress of gastric cancer organoids in determining chemotherapy drug sensitivity, discusses the strengths and limitations of organoid models, and proposes outlooks for future research directions, hoping that organoids can provide more effective personalized treatment options and a greater range of drug choices for gastric cancer treatment.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To investigate the predictive value of microRNA-1(miR-1),brain natriuretic peptide(BNP)and ischemia-modified albumin(IMA)for unstable angina pectoris(UAP).Methods:We enrolled 237 UAP patients admitted to Xining Second People's Hospital between June 2018 and December 2020 as UAP group.Another 86 healthy subjects undergoing physical examination simultaneously were enrolled as control group.MiR-1 expression,BNP and IMA levels were measured.General data between UAP group and control group,serum miR-1 expression,BNP and IMA levels among different Braunwald class and prognosis were compared.Receiver operat-ing characteristic(ROC)curve was employed to analyze predictive value of miR-1,BNP,IMA and their combina-tion for prognosis in UAP patients.Results:Compared with participants in the control group,those in UAP group had significant higher serum miR-1 expression[(1.80±0.59)vs.(0.93±0.11)],BNP[(107.34±37.46)pg/ml vs.(52.31±10.64)pg/ml]and IMA[(79.76±19.29)g/L vs.(53.16±6.43)g/L](P＜0.001 all).As Braun-wald class increased(class Ⅰ～Ⅲ),serum miR-1 expression,BNP and IMA levels elevated(P＜0.001 all).Com-pared with patients in favorable outcome group,those in unfavorable outcome group had significant higher serum miR-1 expression[(2.31±0.54)vs.(1.53±0.41)],BNP[(147.03±29.63)pg/ml vs.(85.95±19.46)pg/ml]and IMA[(97.24±15.35)g/L vs.(70.35±13.88)g/L](P＜0.001 all).ROC curve indicated that AUC of com-bined detection for predicting unfavorable outcome in UAP patients was 0.925(95％CI 0.884～0.955),which was significantly higher than miR-1(AUC=0.880,95％CI 0.831～0.918),BNP(AUC=0.863,95％CI 0.813～0.904)and IMA(AUC=0.900,95％CI 0.854～0.935)alone(Z=2.884,3.130,2.090,P＜0.05 or＜0.01).Conclusion:MiR-1 expression,BNP and IMA levels significantly increase in UAP patients,and they are associated with the severity of disease.Combined detection has good predictive value for unfavorable outcome in UAP pa-tients.

Objective:To analyze and compare the interfractional setup errors between two body posi-tioning fixation methods(lithotomy position with carbon fiber full-body fixation frame vs.conventional carbon fiber body fixation frame combined with thermoplastic membrane)in radical radiotherapy for pros-tate cancer,and to calculate the clinical target volume(CTV)to planning target volume(PTV)margin(MPTV)for both methods to optimize immobilization techniques and radiotherapy workflows.Methods:A retrospective analysis was conducted on 37 consecutive patients who underwent radical prostate radio-therapy at Peking University First Hospital between August 2021 and March 2023.The patients were di-vided into two groups based on the immobilization method:Group A(18 patients,450 CBCT image sets)used a carbon fiber whole-body fixator in the lithotomy position,while Group B(19 patients,461 CBCT image sets)used a conventional carbon fiber fixator combined with a thermoplastic mask.All the patients underwent daily cone-beam computed tomography(CBCT)image guidance.Bone registration combined with manual registration was used to obtain the setup error data in the left-right(X),cranio-caudal(Y)and anterior-posterior(Z)directions.The positioning errors of the two groups were compared by using the independent sample t-test,the Mann-Whitney U test and the chi-square test.The average positioning error,systematic positioning error(Σ)and random positioning error(δ)were calculated,and the CTV-PTV extension distance was calculated by using the(MPTV=2.5Σ+0.7δ).Results:The analysis of the setup errors in the three-dimensional direction showed significant differences between the two groups(all P＜0.01).Specifically,the median(quartile)absolute values of the errors in the X,Y,and Z di-rections of group A were[0.40(0.20,0.70)cm,0.50(0.30,0.80)cm,and 0.35(0.20,0.60)cm],respectively.In group B,the corresponding values were significantly reduced to[0.20(0.10,0.40)cm,0.40(0.20,0.70)cm and 0.20(0.10,0.40)cm].The results of Mann-Whitney U test showed that the differences in each direction were highly statistically significant(X:z=-6.86;Y:z=-2.76;Z:z=-5.71).The cumulative distribution ratio of the setup error displacement within 0.5 cm in the X,Y,and Z directions in group A and group B were 297(66.0％)and 408(88.5％)(P＜0.01),250(55.6％)and 285(61.8％)(P=0.055),308(68.4％)and 391(84.8％)(P＜0.01),re-spectively.The CTV-PTV margins in three directions were X 0.66 cm in group A and 0.35 cm in group B;Y0.67 cm and 0.45 cm;Z 0.54 cm and 0.42 cm.Conclusion:Conventional carbon fiber human body fixator combined with thermoplastic film can significantly reduce the setup error.However,the car-bon fiber whole-body fixator in the lithotomy position demonstrated larger setup errors in the X,Y,and Z directions compared with the conventional fixator combined with a thermoplastic mask,indicating the need for further workflow optimization.Given that the lithotomy position is essential for transperineal ultrasound-guided techniques,further research and improvements are required to achieve higher positioning accuracy.

Retinal degenerative diseases characterized by irreversible photoreceptor apoptosis, such as retinitis pigmentosa and age-related macular degeneration, are among the leading causes of severe visual impairment and blindness worldwide.Due to the neuronal nature of the mammalian retina, its regenerative ability is extremely limited.Damage or death of photoreceptors typically results in permanent vision loss.In recent years, optogenetic therapy has emerged as a novel neuromodulatory and vision restoration strategy, offering new hope for patients in advanced stages of these diseases.This approach involves using viral vectors, like adeno-associated viruses to deliver genes that encode light-sensitive proteins, such as microbial opsins or engineered rhodopsin variants, into surviving inner retinal neurons, such as bipolar or ganglion cells, thereby bypassing the degenerated photoreceptors and re-establishing light sensitivity and visual signaling.This review summarizes recent advances in the development of high-performance optogenetic tools, highlights findings from clinical trial at home and abroad, and discusses the therapeutic potential and translational prospects of optogenetics in treating inherited and degenerative retinal diseases.

Objective To investigate the effect of local histopathological changes of thyroid nodules after ultrasound-guided fine needle aspiration biopsy(US-FNBA)on laparoscopic thyroid surgery.Methods The clinical data of 120 patients with thyroid malignant tumors admitted to Xiaogan Hospital of Wuhan University of Science and Technology from January 2020 to December 2022 were retrospectively analyzed,and according to whether received US-FNAB before surgery they were divided into the observation group(with US-FNAB)and the control group(without US-FNAB),with 60 cases in each group.The operation time,change of parathyroid hormone(ΔPTH)before and after surgery,change of serum Ca2+concentration(serum ΔCa2+)before and after surgery,drainage volume 24 hours after surgery and incidence of complications were compared between the two groups.According to fine needle aspiration-to-surgery(FTS),the patients in the observation group were further divided into the group A(FTS≤3 days)and the group B(FTS>3 days),and the effect of US-FNAB on laparoscopic thyroid surgery was explored combined with the pathological changes of the thyroid puncture capsule of the two groups.Results The operation time of the observation group was longer than that of the control group(P<0.05),and there was no significant difference in the drainage volume 24 hours after surgery,ΔPTH,serum ΔCa2+,or proportions of facial or limb numbness,hypoparathyroidism,recurrent laryngeal nerve integrity,and hypocalcemia between the two groups(P>0.05).There was no significant difference in the operation time,ΔPTH,serum ΔCa2+,drainage volume 24 hours after surgery,hypocalcemia,recurrent laryngeal nerve integrity or hypothyroidism between the group A and group B(P>0.05).The proportion of patients with facial or limb numbness after surgery in the group A was significantly lower than that in the group B(P<0.05).Conclusion Preoperative US-FNAB for thyroid nodules may prolong the operation time in patients undergoing laparoscopic thyroid surgery,and surgical treatment in early aspiration can help decrease this effect and reduce the incidences of postoperative hypocalcemia and hypothyroidism.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.