Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.

Maxillary molar with three roots and 3 to 4 canals is a common occurrence.However,in addition to common root canal anatomy,there may be significant differences in the number,distribution,and morphological structure of root canals.The success of root canal treatment is dependent on ensuring that all the intricate details associated with it are meticulously followed.Failure to locate all canals could have a negative effect on the treatment as it may lead to initiation or continuation of periapical pathology.Missed canals were the main reason for patients reporting back for nonsurgical root canal retreatment.Moreover,the bacteria residing in such canals could also result in persistence of symptoms.Root canal anatomy is complex,and the recognition of anatomic variations could be a challenge for clinicians.This article presents three cases of endodontic management of maxillary molars with atypical canal morphology.In the three cases of this study,the patients underwent cone beam computed tomographic(CBCT)examination before root canal treatment.The CBCT images revealed that the maxillary molars in case 1 and case 2 had 5 canals.Case 1:2 mesiobuccal(MB,MB2),two distobuccal(DB and DB2),and one palatal canal.Case 2:2 mesiobuccal(MB,MB2),one distobuccal(DB),and two palatal canals(MP and DP).In case 3,CBCT scan slices showed that the maxillary first molar presented as a C-shaped root canal with a rare tooth anomaly of taurodontism.Although C-shaped root canals were most frequently seen in the mandibular second molar,they might also appear in maxillary molars.A literature search revealed only a few case reports of C-shaped root canal systems in maxillary molars.Case 3 described the fusion between mesiobuccal and palatal roots of the maxillary first molar,forming a C-shaped mesiopalatal root canal.The above cases suggest that endodontists should always be aware of aberrancies in root canal sys-tem apart from the knowledge of normal root canal anatomy.CBCT as a means of diagnosis can be helpful for identifying and managing these complex root canal systems.This case series also highlights the impor-tance of magnification and illumination.Through using an endodontic microscope,clinicians can identify root canals that are difficult to locate or overlooked with normal vision.A correct access opening is a most important step to locate and negotiate the orifices of root canals.The use of ultrasonic tips can refine the access cavity and allow controlled and delicate removal of calcifications and other interferences to the ca-nal orifices,thereby helping to locate the extra orifices.

Humans ; Nephrotic Syndrome ; Hematopoietic Stem Cell Transplantation ; Tissue Donors ; Transplantation Conditioning ; Graft vs Host Disease

OBJECTIVE: To summarize the research progress on the role of macrophage-mediated osteoimmune in osteonecrosis of the femoral head (ONFH) and its mechanisms. METHODS: Recent studies on the role and mechanism of macrophage-mediated osteoimmune in ONFH at home and abroad were extensively reviewed. The classification and function of macrophages were summarized, the osteoimmune regulation of macrophages on chronic inflammation in ONFH was summarized, and the pathophysiological mechanism of osteonecrosis was expounded from the perspective of osteoimmune, which provided new ideas for the treatment of ONFH. RESULTS: Macrophages are important immune cells involved in inflammatory response, which can differentiate into classically activated type (M1) and alternatively activated type (M2), and play specific functions to participate in and regulate the physiological and pathological processes of the body. Studies have shown that bone immune imbalance mediated by macrophages can cause local chronic inflammation and lead to the occurrence and development of ONFH. Therefore, regulating macrophage polarization is a potential ONFH treatment strategy. In chronic inflammatory microenvironment, inhibiting macrophage polarization to M1 can promote local inflammatory dissipation and effectively delay the progression of ONFH; regulating macrophage polarization to M2 can build a local osteoimmune microenvironment conducive to bone repair, which is helpful to necrotic tissue regeneration and repair to a certain extent. CONCLUSION At present, it has been confirmed that macrophage-mediated chronic inflammatory immune microenvironment is an important mechanism for the occurrence and development of ONFH. It is necessary to study the subtypes of immune cells in ONFH, the interaction between immune cells and macrophages, and the interaction between various immune cells and macrophages, which is beneficial to the development of potential therapeutic methods for ONFH.
Humans ; Femur Head/pathology* ; Osteonecrosis/therapy* ; Macrophages/pathology* ; Inflammation ; Femur Head Necrosis/pathology*

Objective: To investigate the quality and influencing factors of direct drinking water in schools in Nanjing City, so as to provide basis for management of school drinking water. Methods: From April to July 2023, direct drinking water equipment from 146 primary and secondary schools were selected from Nanjing City using a stratified random sampling method and tested for colony forming units (CFU) and permanganate index. Mann-Whitney U test was used to compare the differences between groups, and multiple linear regression was used to analyze the influencing factors. Results: The CFU and permanganate levels of school direct drinking water in Nanjing City were 1.00(0.00,15.50)CFU/mL and 0.47(0.26, 0.75)mg/L, respectively. The CFU level increased when the filter replacement time exceeded 3 months and when the water source was piped, while the permanganate index increased when the filter replacement time exceeded 3 months and using activated carbon technology ( Z =-2.21, -3.92, -2.31, -8.45 , P <0.05). The results of multiple linear regression analysis showed that the replacement time of filter element exceeding 3 months was positively correlated with the CFU level, and the process type involving activated carbon, a laid pipe network and a filter replacement time exceeding 3 months were positively correlated with the permanganate index( β =167.08, 0.32, 0.35, 0.11, P ＜0.05). Conclusions There are certain problems with the water quality of primary and secondary school direct drinking water in Nanjing City. Schools should promptly replace the filter and maintain the drinking water equipment to ensure the hygiene and safety of campus water quality.

Objective To assess the effect of ultrasonic thyroid artificial intelligence(AI)-assisted diagnostic system(AI-assisted diagnostic system)for diagnosing medullary thyroid carcinoma(MTC)compared with different physicians and taken papillary thyroid carcinoma(PTC)as the controls.Methods Totally 63 MTC,70 PTC and 62 benign thyroid nodules confirmed by pathology were enrolled.AI-assisted diagnostic system was utilized to analyze thyroid nodules and identify the likelihood of malignancy,and the probability value threshold was set at ≥0.40.All thyroid nodules were retrospectively reviewed and categorized by 3 physicians(1 senior physician,1 attending physician and 1 junior physician)according to Chinese thyroid imaging reporting and data system(C-TIRADS).The efficacy of AI-assisted diagnostic system and physicians for diagnosing MTC and PTC were evaluated.Results AI-assisted diagnostic system showed lower sensitivity,specificity,positive predictive value,negative predictive value,accuracy,and area under the curve(AUC)for diagnosing MTC and PTC compared with physicians.Significant differences of AUC were found between senior physician and AI-assisted diagnostic system,as well as between attending physician and AI-assisted diagnostic system for diagnosing MTC and PTC(all P＜0.01),while no significant difference of AUC was between junior physicians and AI-assisted diagnostic system(both P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy and AUC for AI-assisted diagnostic system for diagnosing MTC were all lower than those for diagnosing PTC,but the AUC was not significantly different(P＞0.05).Conclusion Ultrasonic thyroid AI-assisted diagnostic system had relatively high value for diagnosing MTC.

Background Drinking water contains a variety of chemicals that may pose certain health risks to the human body. Objective To evaluate carcinogenic and non-carcinogenic health risks of chemical pollutants in drinking water in Nanjing from 2014 to 2022. Methods According to the Standard examination methods for drinking water (GB/T 5750-2006) and the Standards for drinking water quality (GB 5749-2006), the conventional water quality indexes of finished water, tap water, and secondary water supply in Nanjing from 2014 to 2022 were monitored. The health risk assessment model recommended by the United States Environmental Protection Agency (US EPA) was used to assess the health risks of 16 chemicals [arsenic, cadmium, chromium (hexavalent), lead, mercury, selenium, cyanide, fluoride, nitrate nitrogen, trichloromethane, carbon tetrachloride, aluminum, iron, manganese, copper, and zinc] in drinking water through different routes (drinking water and skin contact) in different populations (adult males, adult females, and children). Region (urban and rural), water period (dry period and wet period), and water sample type (finished water, tap water, and secondary water supply) were stratified for analysis. Results From 2014 to 2022, a total of 4198 samples of drinking water were monitored in Nanjing, including 483 samples of finished water, 3313 samples of tap water, and 402 samples of secondary water supply. The pass rates of all indicators were above 99%. The health risk assessment results showed that the carcinogenic/non-carcinogenic risks of arsenic and lead presenting a trend of first increasing from 2015 and 2016 respectively, remaining relatively high for 3 and 4 consecutive years respectively, and then decreasing from 2018 and 2020 respectively before remaining stable; the carcinogenic risk of cadmium was much higher than that of other chemicals, and the risk was greater than 1.00×10⁻⁴ except for 2018 and 2019. The non-carcinogenic risks of drinking water in different populations (adult males, adult females, and children) under different exposure modes (intake of drinking water and skin contact) were less than 1. The values of carcinogenic risk via drinking water in total population and of cadmium intake via drinking water in all sub-groups (adult males, adult females, and children) were greater than 1.00×10⁻⁴. The carcinogenic/non-carcinogenic risk of drinking water was the highest in children, and the carcinogenic/non-carcinogenic risk via drinking water ingestion was higher than that via skin contact. The stratified analysis showed that the carcinogenic/non-carcinogenic risks of arsenic and cadmium in urban drinking water were higher than those in rural drinking water (P<0.05); the carcinogenic/non-carcinogenic risks of arsenic and trichloromethane in wet season were higher than those in dry season (P<0.05); the carcinogenic risks of cadmium in different types of water were all greater than 1.00×10⁻⁴; the health risks varied by chemicals and water sample types for the other chemicals, but all were within an acceptable level. Conclusion The non-carcinogenic risks and carcinogenic risks of selected chemical pollutants in drinking water in Nanjing City from 2014 to 2022 show decreasing or stable trends. Among the 16 chemicals, the carcinogenic risk of cadmium exceeds the acceptable range recommended by the US EPA, and the carcinogenic/non-carcinogenic risks of the remaining chemicals are within the acceptable ranges. Cadmium should be given priority attention in future risk management of drinking water.