As a hot spot in clinical research today, immune checkpoint inhibitor has been recommended by guidelines in the first- and second-line treatments of advanced cervical cancer as immune monotherapy or combination therapy. It has also achieved good efficacy in clinical practice. In locally advanced cervical cancer, immune checkpoint inhibitors have been included in the guidelines for adjuvant therapy, and good tumor regression effects have been achieved in clinical practice. Based on the results of existing trials, immune checkpoint inhibitors have also shown good clinical potential as neoadjuvant therapy. Furthermore, the issue of immunotherapy rechallenge has increasingly captured clinicians’ attention, offering a potential new therapeutic strategy for cervical cancer patients with prior immunotherapy exposure. In this article, the clinical application and research progress of immune checkpoint inhibitors in the treatment of cervical cancer in recent years are summarized to provide valuable ideas and directions for clinical treatment.

Objective:A camelid natural nanobody library was screened to target S100 calcium-binding protein B (S100B) for obtaining high-affinity and specific nanobodies (Nbs), which provided a molecular basis for the early diagnosis and prognostic treatment of malignant melanoma.Methods:In this study, affinity panning was employed to isolate S100B-specific nanobodies with unique complementarity-determining region 3 (CDR3) sequences from a camelid natural nanobody library. The selected Nbs were expressed in a prokaryotic system and purified via Ni-NTA affinity chromatography. The affinity, specificity, and diagnostic potential of the Nbs were evaluated using enzyme-linked immunosorbent assay (ELISA), western blot, and bio-layer interferometry (BLI).Results:A camelid natural anti-S100B nanobody library with a capacity of 1.91×10 8 CFU was successfully constructed. Affinity panning yielded 30 S100B-specific Nbs, among which Nb107, Nb122, Nb212, and Nb324 with distinct CDR3 sequences were selected for expression. Following Ni-NTA purification, all four anti-S100B Nbs exhibited high purity. Western blot analysis confirmed their ability to recognize recombinant S100B. ELISA and BLI analyses revealed that Nb212 demonstrated high affinity (1.96×10 -11 mol). Additionally, Nb107, Nb122, and Nb212 exhibited broad-spectrum recognition capabilities, binding to various tumor cell lines (Hepa1-6, GL261, 4T1, CT26) as well as murine/human melanoma cells. These Nbs also effectively bound to native murine/human antigens in serum samples from melanoma (A375, B16F10) mouse models. Conclusions:Specific anti-S100B Nbs are successfully screened and expressed, demonstrating not only recognition of native conformational antigens but also broad-spectrum binding and high affinity. These findings highlight their significant potential for developing early diagnostic assays and broad-spectrum targeted vaccines or therapeutics against diverse tumor cells.

Objective:A camelid natural nanobody library was screened to target S100 calcium-binding protein B (S100B) for obtaining high-affinity and specific nanobodies (Nbs), which provided a molecular basis for the early diagnosis and prognostic treatment of malignant melanoma.Methods:In this study, affinity panning was employed to isolate S100B-specific nanobodies with unique complementarity-determining region 3 (CDR3) sequences from a camelid natural nanobody library. The selected Nbs were expressed in a prokaryotic system and purified via Ni-NTA affinity chromatography. The affinity, specificity, and diagnostic potential of the Nbs were evaluated using enzyme-linked immunosorbent assay (ELISA), western blot, and bio-layer interferometry (BLI).Results:A camelid natural anti-S100B nanobody library with a capacity of 1.91×10 8 CFU was successfully constructed. Affinity panning yielded 30 S100B-specific Nbs, among which Nb107, Nb122, Nb212, and Nb324 with distinct CDR3 sequences were selected for expression. Following Ni-NTA purification, all four anti-S100B Nbs exhibited high purity. Western blot analysis confirmed their ability to recognize recombinant S100B. ELISA and BLI analyses revealed that Nb212 demonstrated high affinity (1.96×10 -11 mol). Additionally, Nb107, Nb122, and Nb212 exhibited broad-spectrum recognition capabilities, binding to various tumor cell lines (Hepa1-6, GL261, 4T1, CT26) as well as murine/human melanoma cells. These Nbs also effectively bound to native murine/human antigens in serum samples from melanoma (A375, B16F10) mouse models. Conclusions:Specific anti-S100B Nbs are successfully screened and expressed, demonstrating not only recognition of native conformational antigens but also broad-spectrum binding and high affinity. These findings highlight their significant potential for developing early diagnostic assays and broad-spectrum targeted vaccines or therapeutics against diverse tumor cells.

Preoperative planning,intraoperative navigation,and postoperative rehabilitation of total hip arthroplasty(THA)have been significantly enhanced by the integration of artificial intelligence(AI)technology.This review summarizes the latest advancements in AI technology for medical image segmentation and registration,with a particular focus on its application in THA.The notable differences between medical and natural images present challenges for the design of AI algorithms.Deep learning techniques,especially CNN,U-Net,and Transformer models,have demonstrated an outstanding performance in various medical image segmentation and registration tasks.The AI technology,through deep learning analysis of CT images,has significantly improved the accuracy of identifying hip pathologies.In terms of intraoperative guidance,AI systems provide real-time navigation and precise positioning for surgeries by utilizing intelligent segmentation and motion state simulation,effectively enhancing surgical efficiency.AI technology also encompasses surgical cost prediction and postoperative recovery,offering robust data support for medical decision-making through method such as Markov models.As deep learning technology continues to advance,the analysis of medical images is progressively achieving automation and intelligence,which has significant clinical implications for improving patients'overall surgical experiences and outcomes,suggesting potential new breakthroughs in the field of medical imaging in the future.

Preoperative planning,intraoperative navigation,and postoperative rehabilitation of total hip arthroplasty(THA)have been significantly enhanced by the integration of artificial intelligence(AI)technology.This review summarizes the latest advancements in AI technology for medical image segmentation and registration,with a particular focus on its application in THA.The notable differences between medical and natural images present challenges for the design of AI algorithms.Deep learning techniques,especially CNN,U-Net,and Transformer models,have demonstrated an outstanding performance in various medical image segmentation and registration tasks.The AI technology,through deep learning analysis of CT images,has significantly improved the accuracy of identifying hip pathologies.In terms of intraoperative guidance,AI systems provide real-time navigation and precise positioning for surgeries by utilizing intelligent segmentation and motion state simulation,effectively enhancing surgical efficiency.AI technology also encompasses surgical cost prediction and postoperative recovery,offering robust data support for medical decision-making through method such as Markov models.As deep learning technology continues to advance,the analysis of medical images is progressively achieving automation and intelligence,which has significant clinical implications for improving patients'overall surgical experiences and outcomes,suggesting potential new breakthroughs in the field of medical imaging in the future.

Objective:To investigate the consistency between the iodine-unstained area and the pathological size of endoscopic submucosal dissection (ESD) specimens of superficial esophageal cancer.Methods:A retrospective study was performed on data of 32 patients with superficial esophageal cancer who accepted ESD from May 2019 to April 2020 in the First Affiliated Hospital, Zhejiang University School of Medicine. The maximum transverse diameter and maximum longitudinal diameter of the iodine-unstained area were compared with the tumor pathological area. A size difference no more than 0.5 cm was considered as conformity, any difference between 0.5 and 1.0 cm was considered as non-conformity, and any difference no less than 1.0 cm was considered as serious non-conformity. At the same time, pink sign after spraying Lugo solution and the consistency of pink sign area with the iodine free area were observed.Results:A total of 32 patients with 33 lesions were enrolled in this study, including 23 males and 9 females and the age of the patients was 59.5±7.3 years. There were 19 (57.6%) lesions whose size of iodine-unstained area was consistent with the tumor pathological area. These 19 lesions were all positive for the pink sign, and the pink sign area overlapped with the iodine-unstained area. In addition, 4 (12.1%) iodine-unstained areas of the lesions did not match the size of the pathological area, and 10 (30.3%) iodine-unstained areas of the lesions were seriously inconsistent with the size of the pathological area. These 14 (42.4%) lesions were all positive for pink sign, and the pink sign area was significantly smaller than the iodine-unstained area. Among the 14 discordant lesions, 2 lesions underwent ESD according to the iodine-unstained area, which resulted in excessive resection and postoperative stenosis.Conclusion:Determining the extent of superficial esophageal cancer by iodine-unstained areas before ESD may lead to excessive resection of the lesions, which is related to the fact that the iodine-unstained areas of the lesions are sometimes significantly larger than the pink sign areas. Therefore, in order to achieve precise treatment, endoscopists can choose the iodine-unstained area with positive pink sign as the first choice for resection.

IL-34 can promote osteoclast differentiation and activation, which may contribute to steroidinduced osteonecrosis of the femoral head (ONFH). Animal model was constructed in both BALB/c and IL-34 deficient mice to detect the relative expression of inflammation cytokines. Micro-CT was utilized to reveal the internal structure. In vitro differentiated osteoclast was induced by culturing bone marrow-derived macrophages with IL-34 conditioned medium or M-CSF. The relative expression of pro-inflammation cytokines, osteoclast marker genes, and relevant pathways molecules was detected with quantitative real-time RT-PCR, ELISA, and Western blot. Up-regulated IL-34 expression could be detected in the serum of ONFH patients and femoral heads of ONFH mice. IL-34 deficient mice showed the resistance to ONFH induction with the up-regulated trabecular number, trabecular thickness, bone value fraction, and down-regulated trabecular separation. On the other hand, inflammatory cytokines, such as TNF-α, IFN-γ, IL-6, IL-12, IL-2, and IL-17A, showed diminished expression in IL-34 deficient ONFH induced mice. IL-34 alone or works in coordination with M-CSF to promote osteoclastogenesis and activate ERK, STAT3, and non-canonical NF-κB pathways. These data demonstrate that IL-34 can promote the differentiation of osteoclast through ERK, STAT3, and non-canonical NF-κB pathways to aggravate steroid-induced ONFH, and IL-34 can be considered as a treatment target.

Objective To investigate the effects of sodium butyrate on the activity of RAW264.7 cells and the osteoclast differentiation.Methods The RAW264.7 cells were treated by sodium butyrate at concentrations of 0,0.25,0.50,1.00,2.00,3.00,4.00 and 5.00 mmol/L,with 3 double pores for each concentration.The cytotoxicity of sodium butyrate on RAW264.7 cells was detected by a CCK-8 kit.The effects of sodium butyrate (0,0.25,0.50 and 1.00 mmol/L) on apoptosis of RAW264.7 cells were detected by Hoechst33342 staining.RAW264.7 cells were induced into osteoclasts by osteoclast differentiation factors.The experiment was carried out in 2 groups (n =3).After induced maturation,the experimental group was treated with 1.00 mmol/L sodium butyrate and the control medium was added only with the same volume of solvent.The number of osteoclasts and the area of bone resorption were observed and compared.The differentiation of RAW264.7 cells was detected by tartrate-resistant acid phosphatase (TRAP) staining.Western blotting was used to detect the effects of sodium butyrate (0,0.25,0.50 and 1.00 mmol/L) on NF-κB-related signaling pathway in RAW264.7 cells.Results Compared with the group of 0 mmol/L sodium butyrate,the activity of cells treated with 1.00,2.00,3.00,4.00 and 5.00 mmol/L sodium butyrate for 24 h was significantly decreased (P ＜ 0.05).Treatment with 1.00 mmol/L sodium butyrate for 24 h induced apoptosis.The number of osteoclasts in the control group and the experimental group were 9.33 ± 2.08 and 4.67 ± 1.16,respectively,showing a significant difference between the 2 groups (t =3.395,P =0.027).The percentages of bone resorption area in the control group and the experimental group were 52.43％ ± 5.38％ and 14.28％ ± 2.72％,respectively,also showing a significant difference between the 2 groups (t =10.970,P ＜ 0.001).Western blot results showed that,compared with other concentrations of sodium butyrate,treatment with 1 mmol/L sodium butyrate on RAW264.7 cells for 24 h led to an increase in the expression levels of cytoplasmic p65,B lymphoma-2 associated X protein and cleaved-caspase 3 and the acetylation of Histone H3 but a decrease in the phosphorylation level of α/β subunit of NF-κB kinase.Conclusions With the increased concentration of sodium butyratecan,the activity of NF-κB may be suppressed and the number of apoptotic cells may increase.1.00 mmol/L sodium butyrate can reduce osteoclast formation and bone resorption area.

Diabetes mellitus (DM),a highly prevalent chronic metabolic disorder,can damage multiple organ systens.For instance,in the skeletal system,DM can lead to osteoporosis,delayed fracture healing or nonunion of fractures,which not only affects the prognosis of bone diseases and quality of life but also leads to huge medical and economic burden.The main reason of these skeletal complications is the disruption of the balance between bone formation and bone resorption,which leads to the disorders of bone metabolism.The mechanism of bone metabolism disorders in DM patients is determined by many biological factors,including high glucose (HG),oxidative stress,accumulation of advanced glycation end products (AGEs),insulin levels,inflammatory factors,growth factors,adipocytokines and hypaglycemic agents.Furthermore,as an important feature of DM,HG has obvious effects on bone metabolism mainly by acting on signal transduction pathways,including PI3K/Akt pathway,cAMP/PKA pathway,wnt pathway,MARK pathway,AMPK/mTOR/ULK1 pathway,BMP pathway,EphrinB2/EphB4 pathway,PPARγ pathway and NF-κB pathway.The above mentioned signal pathways regulate the proliferation,differentiation,apoptosis and aging of cells,such as bone marrow mesenchymal stem cells (BMSCs),osteoblasts and osteoclasts.These research areas have become the current hotspot for investigation.Although some studies has been conducted in these research areas,several limitations are still exist especially in vivo study.Thus,further studies are required.The present article reviews the effects of HG on bone metabolism signaling pathways.The purpose of this review is conducive to further understand the molecular mechanism of bone metabolism regulated by HG,and to provide theoretical basis and orientations for prevention and treatment of diabetic bone diseases.