Mitofusin 2 (MFN2) residing on the outer mitochondrial membrane is a pivotal factor participating in mitochondrial fusion and maintaining mitochondrial morphology. Due to its multifaceted cellular functions, MFN2 is implicated in the pathogenesis of diverse maladies, notably type 2 Charcot-Marie-Tooth disease, which has catalyzed a surge in pharmaceutical endeavors directed towards MFN2. This article reviews the function of MFN2 and its role in a variety of diseases, outlines the current status of drug discovery against MFN2, and summarizes potential drug molecules currently in preclinical research, aiming to provide some reference for the research and development of drugs and therapies targeting MFN2.

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.

Stresses induced by the deficiency or excess of trace mineral elements, such as manganese (Mn), represent a common limiting factor for the production of crops like Brassica napus. To identify key genes involved in Mn allocation in B. napus and elucidate the underlying mechanisms, a member of the metal tolerance protein (MTP) family obtained in the previous screening of cDNA library of B. napus under Mn stress was selected as the research subject. Based on the sequence information and phylogenetic analysis, it was named as BnMTP10. It belongs to the Mn-cation diffusion facilitator (CDF) subfamily. Expression of BnMTP10 in yeast significantly improved the tolerance of transformants to excessive Mn and iron (Fe) and reduced the accumulation of Mn and Fe. However, the yeast transformants exhibited no significant changes in tolerance to excess cadmium, boron, aluminum, zinc, or copper. The qRT-PCR results demonstrated that the flowers of B. napus had the highest expression of BnMTP10, followed by roots and leaves. Subcellular localization studies revealed that BnMTP10 was localized in the endoplasmic reticulum (ER). Compared with wild-type plants, transgenic Arabidopsis overexpressing BnMTP10 exhibited enhanced tolerance to excessive Mn stress but showed no significant difference under Fe stress. Correspondingly, under excessive Mn stress, the Mn content in the roots of transgenic Arabidopsis increased significantly. However, under excessive Fe stress, the Fe content in transgenic Arabidopsis did not alter significantly. According to the results, we hypothesize that BnMTP10 may alleviate excessive Mn stress in plants by mediating Mn transport to the ER. This study facilitated our understanding of efficient mineral nutrients, and provided theoretical foundations and gene resources for breeding B. napus.
Brassica napus/genetics* ; Manganese/metabolism* ; Plants, Genetically Modified/genetics* ; Plant Proteins/physiology* ; Arabidopsis/metabolism* ; Gene Expression Regulation, Plant ; Phylogeny ; Cation Transport Proteins/metabolism* ; Stress, Physiological

Objective To explore the feasibility and clinical value of endoscopic resection of duodenal papilla tumors with a maximum diameter greater than 3 cm. Methods A retrospective analysis was conducted on the clinical data of all 12 patients who underwent endoscopic resection of duodenal papilla tumors at the Endoscopy Center of Zhongshan Hospital (Xuhui Hospital), Fudan University and Rongcheng Hospital of Traditional Chinese Medicine from September 2017 to May 2023. The size of the tumors all exceeded 3 cm. Results All 12 patients successfully completed the operation, with a complete resection rate of 91.7% (11/12) and an en-bloc resection rate of 91.7% (11/12). One patient experienced delayed bleeding due to unclosed wound during operation and received endoscopic hemostasis; 11 cases underwent partial wound closure operation with pancreatic and biliary stent placement, without perforation or postoperative stenosis. Among them, 2 cases (18.2%) experienced delayed bleeding and received endoscopic hemostasis treatment. After operation, 1 case (8.3%) experienced nausea, vomiting, upper abdominal discomfort, and elevated blood amylase levels, who was later treated conservatively. During the mean follow-up period of 30.5 (1.0-69.0) months, 1 patient experienced recurrence and underwent surgical resection. Conclusions Endoscopic resection of duodenal papilla tumors can treat large diameter duodenal papilla tumors exceeding 3 cm, but postoperative complications may occur and require special attention. Postoperative placement of pancreatic and biliary stents and wound closure may reduce the incidence of complications.

Recently,the theoretical system and practical path for the deep integration of digitalization and traditional industrialization have gradually matured.Medical innovation and digital technology are progressing,and the deep integration of intensive care medicine and intelligence is surpassing the traditional informatization and ushering in new development opportunities.Technologies such as 5G,big data,artificial intelligence,and digital twins can help to understand more complex critical care issues,improve the diagnoses and prediction of diseases and symptoms,develop more accurate treatment strategies,and even transform the service model of critical care medicine.This paper summarizes the application and challenge of digital technology in the practical scenarios of critical care medicine,so as to further consolidate infrastructure,enrich application scenarios,accelerate implementation,improve effectiveness,and strengthen the safety and compliance with the regulations.

Objective To assess the effects of repeated mild traumatic brain injury(rmTBI)in the parietal cortex on neuronal morphology and synaptic plasticity in the medulla oblongata of mice.Methods Thirty-two male ICR mice were randomly divided into sham operation group(n=8)and rmTBI group(n=24).The mice in the latter group were subjected to repeated mild impact injury of the parietal cortex by a free-falling object.The mice surviving the injuries were evaluated for neurological deficits using neurological severity scores(NSS),righting reflex test and forced swimming test,and pathological changes of the neuronal cells in the medulla oblongata were observed with HE and Nissl staining.Western blotting and immunofluorescence staining were used to detect the expressions of neuroligin 1(NLG-1)and postsynaptic density protein 95(PSD-95)in the medulla oblongata of the mice that either survived rmTBI or not.Results None of the mice in the sham-operated group died,while the mortality rate was 41.67%in rmTBI group.The mice surviving rmTBI showed significantly reduced NSS,delayed recovery of righting reflex,increased immobility time in forced swimming test(P<0.05),and loss of Nissl bodies;swelling and necrosis were observed in a large number of neurons in the medulla oblongata,where the expression levels of NLG-1 and PSD-95 were significantly downregulated(P<0.05).The mice that did not survive rmTBI showed distorted and swelling nerve fibers and decreased density of neurons in the medulla oblongina with lowered expression levels of NLG-1 and PSD-95 compared with the mice surviving the injuries(P<0.01).Conclusion The structural and functional anomalies of the synapses in the medulla oblongata may contribute to death and neurological impairment following rmTBI in mice.

Objective To observe the value of feature pyramid network(FPN)for automatic segmentation and semantic feature classification of spontaneous intracerebral hemorrhage(sICH)hematoma showed on non-contrast CT.Methods Non-contrast CT images of 408 sICH patients in hospital A(training set)and 103 sICH patients in hospital B(validation set)were retrospectively analyzed.Deep learning(DL)segmentation model was constructed based on FPN to segment the hematoma region,and its efficacy was assessed using intersection over union(IoU),Dice similarity coefficient(DSC)and accuracy.Then DL classification model was established to identify the semantic features of sICH hematoma.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of DL classification model for recognizing semantic features of sICH hematoma.Results The IoU,DSC and accuracy of DL segmentation model for 95％sICH hematoma in training set was 0.84±0.07,0.91±0.04 and(88.78±8.04)％,respectively,which was 0.83±0.07,0.91±0.05 and(88.59±7.76)％in validation set,respectively.The AUC of DL classification model for recognizing irregular shape,uneven density,satellite sign,mixed sign and vortex sign of sICH hematoma were 0.946-0.993 and 0.714-0.833 in training set and validation set,respectively.Conclusions FPN could accurately,effectively and automatically segment hematoma of sICH,hence having high efficacy for identifying semantic features of sICH hematoma.

Pulmonary fibrosis(PF)is a chronic progressive end-stage lung disease.However,the mechanisms un-derlying the progression of this disease remain elusive.Presently,clinically employed drugs are scarce for the treatment of PF.Hence,there is an urgent need for developing novel drugs to address such diseases.Our study found for the first time that a natural source of Prismatomeris connata Y.Z.Ruan(Huang Gen,HG)ethyl acetate extract(HG-2)had a significant anti-PF effect by inhibiting the expression of the transforming growth factor beta 1/suppressor of mothers against decapentaplegic(TGF-β1/Smad)pathway.Network pharmacological analysis suggested that HG-2 had effects on tyrosine kinase phosphorylation,cellular response to reactive oxygen species,and extracellular matrix(ECM)disassembly.Moreover,mass spec-trometry imaging(MSI)was used to visualize the heterogeneous distribution of endogenous metabolites in lung tissue and reveal the anti-PF metabolic mechanism of HG-2,which was related to arginine biosyn-thesis and alanine,asparate and glutamate metabolism,the downregulation of arachidonic acid meta-bolism,and the upregulation of glycerophospholipid metabolism.In conclusion,we elaborated on the relationship between metabolite distribution and the progression of PF,constructed the regulatory metabolic network of HG-2,and discovered the multi-target therapeutic effect of HG-2,which might be conducive to the development of new drugs for PF.