In Western developed countries,precision nuclear medicine diagnosis and treatment for neuroendocrine neoplasms(NENs)have been widely adopted in clinical practice.Over the past two decades,China has made significant progress in both research and clinical application of nuclear medicine-based NENs management.With internationally approved diagnostic and therapeutic agents soon entering the Chinese market and the ongoing clinical trials of domestically developed innovative drugs,there is an urgent need to establish standardized diagnostic and treatment guideline.To address this,the Chinese Society of Nuclear Medicine and the Chinese Neuroendocrine Tumor Society have collaborated to develop the Clinical Guideline for Precision Nuclear Medicine Diagnosis and Treatment of Neuroendocrine Neoplasms(2025 Edition).The guideline integrates the latest research advances and international recommendations with China's clinical practice,aiming to standardize and optimize NENs management through nuclear medicine in China.

Objective To collect oral exhaled odor spectrum of patients of chronic atrophic gastritis(CAG)with yin deficiency syndrome and detect their gut microbiota;To elucidate the mechanism of odor changes from the perspective of gut microbiota changes;To provide a basic research for the objectification of TCM olfactory diagnosis in CAG.Methods Totally 110 patients with CAG,including 55 patients with CAG yin deficiency syndrome,55 patients with CAG non-yin deficiency syndrome,and 30 healthy individuals were collected.The electronic nose technology was used to collect the oral exhaled odor spectrum of all subjects,and an improved Transformer model was used to identify the breath odor spectrum of CAG yin deficiency syndrome patients and healthy individuals,CAG non-yin deficiency syndrome patients and healthy individuals,CAG yin deficiency syndrome patients and CAG non-yin deficiency syndrome patients.At the same time,16S rRNA high-throughput sequencing method was used to detect the gut microbiota of the subjects'fecal samples,and the correlation analysis between the odor spectrum characteristics of CAG yin deficiency syndrome and gut microbiota was conducted.Results ① Analysis and recognition of odor spectrum characteristic.Amplitude characteristics:The response curves A,C,D,G,H,I and J of the odor spectrum in the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were all lower in amplitude than those in the healthy group(P<0.01,P<0.05).Slope characteristics:The slopes of response curves A,B,C,D,E,G,H,I and J in the odor spectrum of the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were lower than those of the healthy group(P<0.01,P<0.05).Pattern recognition:The accuracy of pattern recognition between the CAG yin deficiency syndrome group and the healthy group reached 0.904,with an area under ROC curve(AUC)of 0.91;the accuracy of pattern recognition between the CAG non-yin deficiency syndrome group and the healthy group reached 0.885,AUC=0.89;the accuracy of pattern recognition between the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group reached 0.747,AUC=0.75.② Species composition:At the genus level,compared with the healthy group,the abundance of Actinomyces,Escherichia-Shigella and Tyzzerella in the CAG yin deficiency syndrome group increased(P<0.05),while the abundance of Prevotella,Sutterella and Subdoligranulum decreased(P<0.05);the abundance of[Ruminococcus]_gnavus_group and Escherichia-Shigella in the CAG non-yin deficiency syndrome group increased significantly(P<0.01),while the abundance of Prevotella and Subdoligranulum decreased(P<0.05).Compared with the CAG yin deficiency syndrome group,the non-yin deficiency syndrome group showed significant enrichment of the Dialister(P<0.05).③ Correlation analysis between odor spectrum characteristics and gut microbiota in CAG yin deficiency syndrome:This study identified 17 bacterial genera that showed positive and negative correlations with the amplitude and slope characteristics of the odor spectrum in CAG yin deficiency syndrome,namely Lachnospiraceae_NK4A136_group,Lachnospiraceae_ND3007_group,Faecalibacterium,UCG-002,UCG-005,Coprococcus,CAG-352,Parabacteroides,Actinomyces,Streptococcus,Anaerostipes,Blautia,Dorea,[Eubacterium]_hallii_group,Phascolarctobacterium,Clostridium_sensu_stricto_1,Enterobacter.The above-mentioned bacterial genera could be classified into the following bacterial families:Trichomonas,Clostridia,Porphyromonas,Actinobacteria,Ruminococcus,Streptococcus,Bacteroidetes,Clostridium,Veillonellaceae and Enterobacteriaceae.Conclusion The use of electronic nose technology can accurately identify the oral exhaled odor of patients with CAG yin deficiency syndrome,CAG non-yin deficiency syndrome,and healthy individuals;the odor spectrum characteristics of patients with CAG yin deficiency syndrome are correlated with multiple bacterial genera,and the changes in related metabolites and gases produced by the disruption of their gut microbiota may be one of the biological bases for the changes in oral exhaled odor in CAG yin deficiency syndrome.

Objective Chronic atrophic gastritis(CAG)is often accompanied by intestinal flora disorder and intestinal symptoms,forming the phenomenon of"stomach disease involving intestine".This study explored the dynamic correlation between intestinal symptoms and qi-stagnation degree in patients with CAG qi-stagnation syndrome and analyzed the characteristics of gut microbiota from the perspective of"spleen-stomach system serving as the pivotal hub of qi movement"in TCM.Methods According to the syndrome element differentiation method,410 patients with CAG were divided into four groups:non-qi-stagnation group,mild qi-stagnation group,moderate qi-stagnation group and severe qi-stagnation group.Correlation analysis and 16S intestinal flora sequencing technology were used to analyze the correlation and differential flora between the degree of CAG qi-stagnation and intestinal symptoms.Results Patients with CAG qi-stagnation syndrome were often accompanied by intestinal symptoms such as frequent flatulence,poor defecation and alternating loose-constipated stools.The frequency of cases was significantly positively correlated with the degree of qi-stagnation"non-mild-moderate-severe"(P<0.05).There was a difference in the abundance of gut microbiota between the four groups of CAG qi-stagnation none,mild,moderate and severe.The relative abundance of Streptococcus,Subdoligranulum,Eubacterium_coprostanoligenes_group and Haemophilus was positively correlated with the degree of qi-stagnation.The relative abundance of Ruminococcus_torques_group and Butyricicoccus showed a negative correlation,and Haemophilus was statistically significant among the four groups(P<0.05).Conclusion This study can provide clinical evidence and micro-mechanism for the connotation of"gastrointestinal co-morbidities"and"different diseases with the same syndrome",which may open up new ideas for clinical diagnosis and treatment.

This paper focuses on extreme environments and systematically analyzes sleep disorders caused by multiple pathogenesis,including circadian rhythm disorder,yin-yang imbalance and qi-blood disorder under weightlessness,emotional depression due to environmental changes,abnormal diet and excretion,and six excesses pathogenic factors,in accordance with the theory of correspondence between nature and human.It proposes harmonizing yin and yang as the core therapeutic principle and guiding framework,with specific methods including calming rebellious qi-blood,regulating qi movement,harmonizing heart and kidney,and dredging and regulating blood vessels,thus forming the"one guiding principle and four specific methods"treatment strategy.Additionally,by integrating the modified application of classic formulas,a diagnostic and therapeutic approach targeting multi-dimensional pathogenesis is established.This study aims to promote the in-depth integration of Traditional Chinese Medicine(TCM)in extreme environmental medicine through TCM theories and innovative application of prescriptions,provide TCM-characterized solutions for health management of workers in extreme environments,and facilitate the transformation of extreme environmental medicine toward the modern medical model of"prevention-treatment integration".

Objective To collect oral exhaled odor spectrum of patients of chronic atrophic gastritis(CAG)with yin deficiency syndrome and detect their gut microbiota;To elucidate the mechanism of odor changes from the perspective of gut microbiota changes;To provide a basic research for the objectification of TCM olfactory diagnosis in CAG.Methods Totally 110 patients with CAG,including 55 patients with CAG yin deficiency syndrome,55 patients with CAG non-yin deficiency syndrome,and 30 healthy individuals were collected.The electronic nose technology was used to collect the oral exhaled odor spectrum of all subjects,and an improved Transformer model was used to identify the breath odor spectrum of CAG yin deficiency syndrome patients and healthy individuals,CAG non-yin deficiency syndrome patients and healthy individuals,CAG yin deficiency syndrome patients and CAG non-yin deficiency syndrome patients.At the same time,16S rRNA high-throughput sequencing method was used to detect the gut microbiota of the subjects'fecal samples,and the correlation analysis between the odor spectrum characteristics of CAG yin deficiency syndrome and gut microbiota was conducted.Results ① Analysis and recognition of odor spectrum characteristic.Amplitude characteristics:The response curves A,C,D,G,H,I and J of the odor spectrum in the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were all lower in amplitude than those in the healthy group(P<0.01,P<0.05).Slope characteristics:The slopes of response curves A,B,C,D,E,G,H,I and J in the odor spectrum of the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were lower than those of the healthy group(P<0.01,P<0.05).Pattern recognition:The accuracy of pattern recognition between the CAG yin deficiency syndrome group and the healthy group reached 0.904,with an area under ROC curve(AUC)of 0.91;the accuracy of pattern recognition between the CAG non-yin deficiency syndrome group and the healthy group reached 0.885,AUC=0.89;the accuracy of pattern recognition between the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group reached 0.747,AUC=0.75.② Species composition:At the genus level,compared with the healthy group,the abundance of Actinomyces,Escherichia-Shigella and Tyzzerella in the CAG yin deficiency syndrome group increased(P<0.05),while the abundance of Prevotella,Sutterella and Subdoligranulum decreased(P<0.05);the abundance of[Ruminococcus]_gnavus_group and Escherichia-Shigella in the CAG non-yin deficiency syndrome group increased significantly(P<0.01),while the abundance of Prevotella and Subdoligranulum decreased(P<0.05).Compared with the CAG yin deficiency syndrome group,the non-yin deficiency syndrome group showed significant enrichment of the Dialister(P<0.05).③ Correlation analysis between odor spectrum characteristics and gut microbiota in CAG yin deficiency syndrome:This study identified 17 bacterial genera that showed positive and negative correlations with the amplitude and slope characteristics of the odor spectrum in CAG yin deficiency syndrome,namely Lachnospiraceae_NK4A136_group,Lachnospiraceae_ND3007_group,Faecalibacterium,UCG-002,UCG-005,Coprococcus,CAG-352,Parabacteroides,Actinomyces,Streptococcus,Anaerostipes,Blautia,Dorea,[Eubacterium]_hallii_group,Phascolarctobacterium,Clostridium_sensu_stricto_1,Enterobacter.The above-mentioned bacterial genera could be classified into the following bacterial families:Trichomonas,Clostridia,Porphyromonas,Actinobacteria,Ruminococcus,Streptococcus,Bacteroidetes,Clostridium,Veillonellaceae and Enterobacteriaceae.Conclusion The use of electronic nose technology can accurately identify the oral exhaled odor of patients with CAG yin deficiency syndrome,CAG non-yin deficiency syndrome,and healthy individuals;the odor spectrum characteristics of patients with CAG yin deficiency syndrome are correlated with multiple bacterial genera,and the changes in related metabolites and gases produced by the disruption of their gut microbiota may be one of the biological bases for the changes in oral exhaled odor in CAG yin deficiency syndrome.

Objective Chronic atrophic gastritis(CAG)is often accompanied by intestinal flora disorder and intestinal symptoms,forming the phenomenon of"stomach disease involving intestine".This study explored the dynamic correlation between intestinal symptoms and qi-stagnation degree in patients with CAG qi-stagnation syndrome and analyzed the characteristics of gut microbiota from the perspective of"spleen-stomach system serving as the pivotal hub of qi movement"in TCM.Methods According to the syndrome element differentiation method,410 patients with CAG were divided into four groups:non-qi-stagnation group,mild qi-stagnation group,moderate qi-stagnation group and severe qi-stagnation group.Correlation analysis and 16S intestinal flora sequencing technology were used to analyze the correlation and differential flora between the degree of CAG qi-stagnation and intestinal symptoms.Results Patients with CAG qi-stagnation syndrome were often accompanied by intestinal symptoms such as frequent flatulence,poor defecation and alternating loose-constipated stools.The frequency of cases was significantly positively correlated with the degree of qi-stagnation"non-mild-moderate-severe"(P<0.05).There was a difference in the abundance of gut microbiota between the four groups of CAG qi-stagnation none,mild,moderate and severe.The relative abundance of Streptococcus,Subdoligranulum,Eubacterium_coprostanoligenes_group and Haemophilus was positively correlated with the degree of qi-stagnation.The relative abundance of Ruminococcus_torques_group and Butyricicoccus showed a negative correlation,and Haemophilus was statistically significant among the four groups(P<0.05).Conclusion This study can provide clinical evidence and micro-mechanism for the connotation of"gastrointestinal co-morbidities"and"different diseases with the same syndrome",which may open up new ideas for clinical diagnosis and treatment.

In Western developed countries,precision nuclear medicine diagnosis and treatment for neuroendocrine neoplasms(NENs)have been widely adopted in clinical practice.Over the past two decades,China has made significant progress in both research and clinical application of nuclear medicine-based NENs management.With internationally approved diagnostic and therapeutic agents soon entering the Chinese market and the ongoing clinical trials of domestically developed innovative drugs,there is an urgent need to establish standardized diagnostic and treatment guideline.To address this,the Chinese Society of Nuclear Medicine and the Chinese Neuroendocrine Tumor Society have collaborated to develop the Clinical Guideline for Precision Nuclear Medicine Diagnosis and Treatment of Neuroendocrine Neoplasms(2025 Edition).The guideline integrates the latest research advances and international recommendations with China's clinical practice,aiming to standardize and optimize NENs management through nuclear medicine in China.

Objective To construct the related factors of re-pregnant failure in the patients with unex-plained recurrent spontaneous abortion(URSA)based on the least absolute shrinkage and selection operator(LASSO)regression analysis,and to construct the prediction model and conduct the verification.Methods The prospective study was adopted to select 420 URSA patients admitted and treated in Hangzhou Municipal Red Cross Hospital from February 2021 to February 2024 as the research subjects.They were divid-ed into modeling group and verification group by simple random sampling method with a ratio of 7∶3.All URSA patients were followed up until termination of pregnancy.They were divided into the pregnancy success group and pregnancy failure group based on the pregnancy outcome.The baseline data of the patients conduc-ted the statistics.LASSO regression was used to screen the risk factors that might affect the re-pregnancy fail-ure of URSA patients for conducting the binary logistic regression analysis,and the nomogram model was con-structed according to the relevant factors and a nomogram model was constructed according to the regression results.The Bootstrap internal verification method was used to verify the nomogram model,and the verifica-tion group data were used to conduct the external verification on the nomogram model.Results The optimal penalty term coefficient λ was determined by the three-fold cross-validation of the LASSO regression model.Nine potential related factors were screened at λ±s(x),which were the age,number of abortions,autoimmune factors,impaired fasting glucose,DFI,number of high-quality embryos,human chorionic gonadotropin(HCG),progesterone(P)and estradiol(E2).The results of binary logistic regression analysis showed that elder,more abortions,abnormal autoimmune factors,impaired fasting glucose and high DFI were the risk fac-tors for re-pregnancy failure in URSA patients(OR=1.286,4.574,3.114,3.204,1.234,P＜0.05).The large number of high-quality embryos and high expression of serum HCG,P and E2 were the protective factors for the re-pregnancy failure in URSA patients(OR=0.547,0.826,0.948,0.995,P＜0.05).The Bootstrap inter-nal validation method was used to verify the nomogram model of the modeling group and validation group.The consistency index(C-index)values were 0.959 and 0.968,respectively.The calibration curves of the two groups were well fitted with the ideal curve.The results of drawing the receiver operating characteristic(ROC)curve showed that the area under the curve(AUC)of the modeling group was 0.959(95％CI:0.937-0.981,P＜0.001),the sensitivity was 86.6％,the specificity was 95.7％and the Youden index was 0.823.AUC of the validation group was 0.968(95％CI:0.949-0.988,P＜0.001),the sensitivity was 88.5％,the specificity was 97.4％and the Youden index was 0.859.Conclusion The age,number of abor-tions,autoimmune factors,impaired fasting glucose,DFI,number of high-quality embryos,HCG,P and E2 are closely correlated to the failure of re-pregnancy in URSA patients.At the same time,the constructed nomo-gram model based on the above factors has a good predictive efficiency on the pregnant failure of the patients.

ObjectiveTo determine the syndrome of a rat model of follicular dysplasia induced by Tripterygium glycosides based on prescriptions and investigate the mechanism of traditional Chinese medicine intervention via the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/hypoxia-inducible factor-1 （HIF-1）/vascular endothelial growth factor （VEGF） pathway. MethodForty-eight rats with regular estrous cycles were randomly assigned into a normal group （n=8） and a modeling group （n=40）. The rats in the modeling group were administrated with Tripterygium glycoside suspension （75 mL·kg^-1） by gavage for 30 days. The modeled rats were assigned into model， Siwutang （3.69 g·kg^-1）， Youguiyin （3.11 g·kg^-1）， Zuoguiyin （7.29 g·kg^-1）， and Guishenwan （10.35 g·kg^-1） groups， with 8 rats in each group. The drug intervention lasted for 14 days. The changes of estrous cycle were detected by Pap staining， and a stereoscope was used to observe the morphology of the ovarian tissue. Hematoxylin-eosin staining was employed to observe the pathological changes and follicle count in the ovarian tissue. Enzyme-related immunosorbent assay （ELISA） was used to measure the levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， and estradiol （E₂） in the serum. Real-time fluorescence quantitative polymerase chain reaction and Western blot were employed to determine the mRNA and protein levels， respectively， of AMPK， mTOR， HIF-1， and VEGF in the ovarian tissue. ResultCompared with the normal group， the model group had a disordered estrous cycle， reduced secondary and mature follicles， increased atretic follicles， elevated FSH and LH levels， lowered E₂ level， up-regulated mRNA and protein levels of AMPK， and down-regulated mRNA and protein levels of mTOR， HIF-1， and VEGF （P<0.01）. Compared with the model group， Guishenwan increased secondary and mature follicles， decreased atretic follicles， lowered the FSH and LH levels， elevated the E₂ level， down-regulated the mRNA and protein levels of AMPK， and up-regulated the mRNA and protein levels of mTOR， HIF-1， and VEGF （P<0.01）. Compared with Guishenwan group， Siwutang， Youguiyin， and Zuoguiyin decreased mature follicles， increased atretic follicles （P<0.01）， elevated the LH （P<0.01） and FSH （P<0.05） levels， and lowered the E₂ level （P<0.05）. In addition， Youguiyin up-regulated the protein level of AMPK （P<0.05） and down-regulated the mRNA levels of mTOR and HIF-1 （P<0.01） as well as the mRNA and protein levels of VEGF （P<0.01）. Siwutang down-regulated the mRNA levels of mTOR and HIF-1 as well as the mRNA and protein levels of VEGF （P<0.05）. Zuoguiyin down-regulated the mRNA level of mTOR and the protein and mRNA levels of VEGF （P<0.05）. ConclusionGuishenwan may improve the ovarian function and promote follicle maturation in a rat model of follicular dysplasia by inhibiting the AMPK/mTOR/HIF-1/VEGF pathway， with the therapeutic effect superior to Zuoguiyin， Youguiyin， and Siwutang. It was hypothesized that this model presented the syndrome of kidney-essence deficiency.

ObjectiveTo explore the recognition of oral breath odor map of chronic atrophic gastritis （CAG） patients with dampness-heat syndrome by electronic nose technique. MethodsPatients with chronic gastritis were recruited， including 60 cases in CAG group of dampness-heat syndrome， 50 cases in CAG group of non-dampness-heat syndrome， 60 cases in chronic non-atrophic gastritis （CNAG） group of dampness-heat syndrome， 50 cases in CNAG group of non-dampness-heat syndrome， and 30 cases of healthy volunteers were selected to set up the health control group. Ten cases in the CAG dampness-heat group and 50 cases in the CAG non-dampness-heat group were selected to form the CAG group， and 10 cases in CNAG dampness-heat group and 50 cases in CNAG non-dampness-heat group were selected to form the CNAG group. In addition to the health control group， the remaining patients were tested for Helicobacter pylori （Hp）； the electronic nose （GISXM-MQWA01） was used to collect the oral breath odor of all the participants to draw the mapping， and amplitudes and slopes of each curve （including curves A， B， C， D， E， F， G， H， I， J） of the oral odor mapping of health control group， CAG group， CNAG group， CAG dampness-heat group， CAG non-dampness-heat group， and CNAG dampness-heat group was compared. The modified transformer model was used to classify the odor mapping characteristics， and the confusion matrix method was used to evaluate the classification model， with metrics including accuracy and area under ROC curve （AUC）. ResultsThe Hp positivity rate in CAG dampness-heat group was 80.00% （48/60）， CAG non-dampness-heat group was 62.00% （31/50）， CNAG dampness-heat group was 46.67% （28/60）， and CNAG non-dampness-heat group was 42.00% （21/50）； the difference in Hp positivity rate between CAG dampness-heat group and CAG non-dampness-heat group was statistically significant （P＜0.05）. The amplitudes of response curves A， B， C， D， F， G， and I， and slopes of A and F in the odor mapping of the CAG group were lower than those in health control group， while the amplitude and slope of curve E were higher than those in the health control group and CNAG group （P＜0.05 or P＜0.01）； The amplitude of the response curves A， B， C， D， F， G， and I， and slopes of A， D， and F in the CNAG group were lower than those in the health control group （P＜0.05 or P＜0.01）. The amplitude of response curve D and slope of response curve J in the odor mapping of the CAG dampness-heat group were higher than those in CNAG dampness-heat group， the amplitude of curve F was lower than that in CAG non-dampness-heat group， and the amplitude of curve H and slopes of curve A， H， and J were higher than those in CAG non-dampness-heat group （P＜0.05）. The recognition accuracy of CAG group and health control group reached 77.78%， AUC = 0.88； the recognition accuracy of CAG group and CNAG group was 69.44%， AUC = 0.61； the recognition accuracy of CAG dampness-heat group and CAG non-dampness-heat group reached 75.8%， AUC=0.70. ConclusionElectronic nose technology can make a more accurate identification of the oral breath odor in CAG patients with dampness-heat syndrome， with a decrease in the amplitude of the curve F and an increase in the amplitude of the curve H and in the slopes of the curves A， H， and J may as the characteristics of their odor mapping.