ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

Background The quality of occupational health technical services is directly linked to the protection of workers' health rights and the efficacy of occupational disease prevention and control. However, the industry still faces critical challenges: sporadic instances of institutional non-compliance and persistent irregularities in professional practice continue to undermine overall service performance. Objective To assess the current quality status of occupational health technical services in Zhejiang Province and propose countermeasures for quality improvement, providing a scientific basis for policy optimization and service delivery quality enhancement. Methods A total of 69 occupational health technical service institutions in Zhejiang Province that obtained formal accreditation as of April 30, 2024, were sampled, including 3 public institutions and 66 private institutions (comprising 3 formerly Class-A, 28 formerly Class-B, 11 formerly Class-C, and 24 newly certified institutions). Following the Technical Protocol for Quality Monitoring of Occupational Health Technical Service in Zhejiang Province and the Technical Protocol for Proficiency Testing of Occupational Health Detection in Zhejiang Province, a quality assessment task force comprising national and provincial experts was established. Evaluation was conducted across four dimensions: qualification maintenance and compliance, standardization of technical services, authenticity of technical services, and proficiency testing, utilizing a combination of document review, on-site inspections, and technical skill assessments. Results The occupational health technical service institutions in Zhejiang Province were predominantly private entities (82.5%), with significant disparities in overall service quality. The pass rates for qualification maintenance and compliance, technical service standardization, technical service authenticity, and the excellence rate for laboratory proficiency testing were 81.5%, 80.7%, 97.3%, and 90.4%, respectively. Regarding qualification maintenance, the pass rates for "environmental conditions" (49.8%, 56.7%) and "instrumentation and equipment" (58.2%、65.6%) were significantly lower for formerly Class-C and newly certified institutions compared to other categories. In terms of technical standardization, "standardized on-site inspections" recorded the lowest pass rate (67.4%), with newly certified institutions at only 48.0%. Regarding technical service authenticity, formerly Class-C institutions exhibited issues such as missing raw chromatograms for blank samples (85.7% pass rate). In laboratory proficiency testing, public and formerly Class-A institutions achieved 100% excellence rates, but the performance of formerly Class-C and newly certified institutions was comparatively weak; specifically, the failure rate for organic analysis in formerly Class-C institutions reached 20%; the failure rate for dust testing items in newly certified institutions was 10.3%. Conclusion The overall quality of occupational health technical services in Zhejiang Province still requires significant improvement, particularly in basic institutional conditions, the standardization of on-site inspections, and laboratory proficiency in organic and dust analysis. Formerly Class-C and newly certified institutions should be the primary focus of quality management efforts. Differentiated regulatory strategies are recommended, alongside strengthening interim and ex-post supervision to gradually enhance the quality of occupational health technical services across all institutions.

Radiopharmaceuticals play an important role in the diagnosis and treatment of cardiovascular and cerebrovascular diseases， malignant tumors， central nervous system diseases， and other diseases. Under the urgent need for clinical diagnosis and treatment as well as medical development， the clinical research of radiopharmaceuticals has become a hotspot in international research. By analyzing the current situation of clinical research on radiopharmaceuticals in Europe， America， and China， the ethical issues of clinical research on radiopharmaceuticals were elaborated from four aspects， including lack of relevant laws and regulations， a higher risk of radiopharmaceuticals， dilemmas in ethical review， and insufficient radiation protection. Response principles and measures were proposed from four aspects， including improving regulations and policies， enhancing radiological protection for all parties involved in the research， strengthening ethical review， and reinforcing the training of relevant personnel， to enhance the quality and level of clinical research on radiopharmaceuticals.

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

Objective Based on the radiomics features extracted from the unenhanced CT images of the lower abdomen, a variety of machine learning models were constructed to explore their application value in the assessment of split renal function. Methods A retrospective analysis was conducted on the unenhanced CT images from 240 single kidneys in patients with clinically suspected renal dysfunction. Based on the results of single-photon emission computed tomography renal dynamic imaging, the cases were classified into the normal glomerular filtration rate group (n=118) and the decreased glomerular filtration rate group (n=122). The region of interest was outlined on the unenhanced CT images and the radiomics features were extracted. The features were selected by correlation analysis and least absolute shrinkage and selection operator, and the machine learning models were constructed based on the algorithms of decision tree, support vector machine, random forest, logistic regression, and extreme gradient boosting. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated to compare the performance of different models. Results Sixteen radiomics features were selected for constructing the machine learning models. The support vector machine model showed relatively high performance for the assessment of split renal function on the test set, with an area under the receiver operating characteristic curve value of 0.883 (95% confidence interval: 0.804-0.961), an accuracy of 0.778, a sensitivity of 0.811, and a specificity of 0.743. Conclusion The machine learning models constructed based on unenhanced CT radiomics can be used to preliminarily assess split renal function, which provides an innovative, convenient, and safe method for clinical diagnosis and has positive significance for treatment.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo investigate the therapeutic effects and mechanism of Shenqi Dihuang decoction （SQDHD） on diabetic kidney disease （DKD）， with a focus on its impact on arachidonic acid-related ferroptosis. MethodsSixty C57BL/6 mice were allocated into a normal group （n=10） and a modeling group （n=50）， with 43 mice successfully modeled. The successfully modeled mice were further allocated into model， low-， medium-， and high-dose （4.68， 9.36， and 18.72 g·kg^-1， respectively） SQDHD， and dapagliflozin （0.13 mg·kg^-1） groups. The drug treatment groups were administrated with corresponding agents by gavage， and the normal and model groups were administrated with equal volumes of normal saline by gavage. An electronic balance and a glucometer were used to monitor the body weight and fasting blood glucose level from the tail tip， respectively. Serum creatinine （Scr） and blood urea nitrogen （BUN） levels were measured by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in the renal tissue were assessed by hematoxylin-eosin staining， Masson staining， and periodic acid-Schiff （PAS） staining. The fluorescence intensity of reactive oxygen species （ROS） in frozen sections was observed by an inverted fluorescence microscope to evaluate the levels of ferrous ions （Fe²⁺） and lipid peroxidation in the renal tissue. Immunofluorescence staining of glutathione peroxidase 4 （GPX4） and acyl-CoA synthetase long-chain family member 4 （ACSL4） in the renal tissue was performed to detect their localization and expression. Western blot was employed to assess the expression levels of key ferroptosis proteins such as GPX4 and cystine/glutamate antiporter （xCT）， as well as the arachidonic acid metabolic pathway-related proteins， including ACSL4， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Real-time PCR was employed to measure the mRNA levels of key ferroptosis proteins， including solute carrier family 7 member 11 （SLC7A11） and GPX4， as well as arachidonic acid metabolism-related factors （ACSL4， LPCAT3， and ALOX15） in the renal tissue. ResultsCompared with the normal group， DKD model mice exhibited a decrease in body weight （P<0.01）， increases in levels of blood glucose （P<0.01）， 24-hour urinary protein， Scr， and BUN （P<0.01）， along with severe pathological changes， such as mesangial cell proliferation， basement membrane thickening， tubular atrophy， and interstitial inflammatory cell infiltration. In addition， the modeling elevated the levels of Fe²⁺， MDA， LPO， and ROS （P<0.01）， lowered the GPX4 and xCT levels （P<0.01）， raised the ACSL4， LPCAT3， and ALOX15 levels （P<0.01）， down-regulated the mRNA levels of GPX4 and SLC7A11 （P<0.01）， and up-regulated the mRNA levels of ACSL4， LPCAT3， and ALOX15 （P<0.01） in the renal tissue. Compared with the model group， low-， medium-， and high-dose SQDHD groups and the dapagliflozin group showed an increase in body weight （P<0.01）， decreases in levels of blood glucose （P<0.01）， 24-hour urinary protein， and Scr （P<0.01）， alleviated pathological changes in glomeruli and tubules， and reduced degree of glomerular and tubular fibrosis. The high-dose SQDHD group and the dapagliflozin group showed reductions in Fe²⁺， MDA， LPO， and ROS levels （P<0.01）. The medium- and high-dose SQDHD groups and the dapagliflozin group exhibited increased levels of GPX4 and xCT （P<0.01）， decreased levels of ACSL4， LPCAT3， and ALOX15 （P<0.05， P<0.01）， and down-regulated mRNA levels of ACSL4， LPCAT3， and ALOX15 （P<0.01）. ConclusionSQDHD ameliorates DKD by inhibiting ferroptosis potentially by reducing iron ion levels， inhibiting lipid peroxidation， up-regulating GPX4 expression， and down-regulating ACSL4 expression. This study provides new insights and a theoretical basis for the treatment of DKD with traditional Chinese medicine and identifies potential targets for developing novel therapeutics for DKD.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo investigate the therapeutic effects and mechanism of Shenqi Dihuang decoction （SQDHD） on diabetic kidney disease （DKD）， with a focus on its impact on arachidonic acid-related ferroptosis. MethodsSixty C57BL/6 mice were allocated into a normal group （n=10） and a modeling group （n=50）， with 43 mice successfully modeled. The successfully modeled mice were further allocated into model， low-， medium-， and high-dose （4.68， 9.36， and 18.72 g·kg^-1， respectively） SQDHD， and dapagliflozin （0.13 mg·kg^-1） groups. The drug treatment groups were administrated with corresponding agents by gavage， and the normal and model groups were administrated with equal volumes of normal saline by gavage. An electronic balance and a glucometer were used to monitor the body weight and fasting blood glucose level from the tail tip， respectively. Serum creatinine （Scr） and blood urea nitrogen （BUN） levels were measured by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in the renal tissue were assessed by hematoxylin-eosin staining， Masson staining， and periodic acid-Schiff （PAS） staining. The fluorescence intensity of reactive oxygen species （ROS） in frozen sections was observed by an inverted fluorescence microscope to evaluate the levels of ferrous ions （Fe²⁺） and lipid peroxidation in the renal tissue. Immunofluorescence staining of glutathione peroxidase 4 （GPX4） and acyl-CoA synthetase long-chain family member 4 （ACSL4） in the renal tissue was performed to detect their localization and expression. Western blot was employed to assess the expression levels of key ferroptosis proteins such as GPX4 and cystine/glutamate antiporter （xCT）， as well as the arachidonic acid metabolic pathway-related proteins， including ACSL4， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Real-time PCR was employed to measure the mRNA levels of key ferroptosis proteins， including solute carrier family 7 member 11 （SLC7A11） and GPX4， as well as arachidonic acid metabolism-related factors （ACSL4， LPCAT3， and ALOX15） in the renal tissue. ResultsCompared with the normal group， DKD model mice exhibited a decrease in body weight （P<0.01）， increases in levels of blood glucose （P<0.01）， 24-hour urinary protein， Scr， and BUN （P<0.01）， along with severe pathological changes， such as mesangial cell proliferation， basement membrane thickening， tubular atrophy， and interstitial inflammatory cell infiltration. In addition， the modeling elevated the levels of Fe²⁺， MDA， LPO， and ROS （P<0.01）， lowered the GPX4 and xCT levels （P<0.01）， raised the ACSL4， LPCAT3， and ALOX15 levels （P<0.01）， down-regulated the mRNA levels of GPX4 and SLC7A11 （P<0.01）， and up-regulated the mRNA levels of ACSL4， LPCAT3， and ALOX15 （P<0.01） in the renal tissue. Compared with the model group， low-， medium-， and high-dose SQDHD groups and the dapagliflozin group showed an increase in body weight （P<0.01）， decreases in levels of blood glucose （P<0.01）， 24-hour urinary protein， and Scr （P<0.01）， alleviated pathological changes in glomeruli and tubules， and reduced degree of glomerular and tubular fibrosis. The high-dose SQDHD group and the dapagliflozin group showed reductions in Fe²⁺， MDA， LPO， and ROS levels （P<0.01）. The medium- and high-dose SQDHD groups and the dapagliflozin group exhibited increased levels of GPX4 and xCT （P<0.01）， decreased levels of ACSL4， LPCAT3， and ALOX15 （P<0.05， P<0.01）， and down-regulated mRNA levels of ACSL4， LPCAT3， and ALOX15 （P<0.01）. ConclusionSQDHD ameliorates DKD by inhibiting ferroptosis potentially by reducing iron ion levels， inhibiting lipid peroxidation， up-regulating GPX4 expression， and down-regulating ACSL4 expression. This study provides new insights and a theoretical basis for the treatment of DKD with traditional Chinese medicine and identifies potential targets for developing novel therapeutics for DKD.

ObjectiveThis study aimed to explore the effects of aerobic exercise on cognitive function in aging mice and to elucidate the underlying molecular mechanisms by which aerobic exercise ameliorates cognitive decline through the regulation of gut microbiota-metabolite network. By providing novel insights into the interplay between exercise, gut microbiota, and cognitive health, this research seeks to offer a robust theoretical foundation for developing anti-aging strategies and personalized exercise interventions targeting aging-related cognitive dysfunction. MethodsUsing naturally aged C57BL/6 mice as the experimental model, this study employed a multi-omics approach combining 16S rRNA sequencing and wide-targeted metabolomics analysis. A total of 18 mice were divided into 3 groups: young control (YC, 4-month-old), old control (OC, 21-month-old), and old+exercise (OE, 21-month-old with 12 weeks of moderate-intensity treadmill training) groups. Behavioral assessments, including the Morris water maze (MWM) test, were conducted to evaluate cognitive function. Histopathological examinations of brain tissue sections provided morphological evidence of neuronal changes. Fecal samples were collected for gut microbiota and metabolite profiling via 16S rRNA sequencing and ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-QTOF-MS). Data were analyzed using a combination of statistical and bioinformatics tools to identify differentially abundant microbial taxa and metabolites and to construct interaction networks between them. ResultsBehavioral tests revealed that 12 weeks of aerobic exercise significantly improved spatial learning and memory capacity of aged mice, as evidenced by reduced escape latency and increased target area exploration and platform crossings in the MWM. Histopathological analysis demonstrated that exercise mitigated aging-related neuronal damage in the hippocampus, enhancing neuronal density and morphology. 16S rRNA sequencing indicated that exercise increased gut microbiota α‑diversity and enriched beneficial bacterial genera, including Bifidobacterium, Parabacteroides, and Rikenella. Metabolomics analysis identified 32 differentially regulated metabolites between OC and OE groups, with 94 up-regulated and 30 down-regulated in the OE group when compared with OC group. These metabolites were primarily involved in energy metabolism reprogramming (e.g., L-homocitrulline), antioxidant defense (e.g., L-carnosine), neuroprotection (e.g., lithocholic acid), and DNA repair (e.g., ADP-ribose). Network analysis further revealed strong positive correlations between specific bacteria and metabolites, such as Parabacteroides with ADP-ribose and Bifidobacterium with lithocholic acid, suggesting potential neuroprotective pathways mediated by the gut microbiota-metabolite axis. ConclusionThis study provides comprehensive evidence that aerobic exercise elicits cognitive benefits in aging mice by modulating the gut microbiota-metabolite network. These findings highlight three key mechanisms: (1) the proliferation of beneficial gut bacteria enhances metabolic reprogramming to boost DNA repair pathways; (2) elevated neuroinflammation-inhibiting factors reduce neurodegenerative changes; and (3) enhanced antioxidant defenses maintain neuronal homeostasis. These results underscore the critical role of the “microbiota-metabolite-brain” axis in mediating the cognitive benefits of aerobic exercise. This study not only advances our understanding of the gut-brain axis in aging but also offers a scientific basis for developing personalized exercise and probiotic-based interventions targeting aging-related cognitive decline. Future research should further validate these mechanisms in non-human primates and human clinical trials to establish the translational potential of exercise-induced gut microbiota-metabolite modulation for combating neurodegenerative diseases.