Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.

Objective:To explore the repair effect of resveratrol combined with Schwann cell-like cells(SCLCs)dif-ferentiated from adipose-derived stem cells(ADSCs)on sciatic nerve injury in rats.Methods:ADSCs were primarily cultured and induced to differentiate into SCLCs.Cell morphology was observed by scanning electron microscopy.West-ern Blot method was used to detect the expressions of S100 calcium-binding protein β(S100β),p75 neurotrophin receptor(p75NTR),and glial fibrillary acidic protein(GFAP).Rats were randomly divided into Control group(Con-trol),Schwann cell-like cell group(SCLCs),resveratrol group(Res),and resveratrol+Schwann cell-like cell group(Res+SCLCs).Eight weeks after the successful establishment of the sciatic nerve injury model,the sciatic nerve func-tion index(SFI)of each group was detected by footprint experiment;the mechanical withdrawal threshold(MWT)was measured by von Frey filament stimulation needle;The wet weight ratio(WR)of the tibialis anterior muscle was deter-mined by weighing method;Western Blot and RT-qPCR methods were used to detect the expressions of neurotrophin-3(NT-3),nerve growth factor(NGF),insulin-like growth factor-1(IGF-1),and brain-derived neurotrophic factor(BDNF)at the injury site.Results:After 8 days of induction of ADSCs,the cells had elongated poles and increased extracellular components;S100β,p75NTR,and GFAP proteins were highly expressed.After treatment with SCLCs,Res,and Res+SCLCs,the SFI and WR of the treatment groups were significantly better than those of the Control group(P＜0.05);the MWT of rats in the Res+SCLCs group and SCLCs group was reduced(P＜0.05).Western Blot re-sults showed that the expressions of NT-3,IGF-1,NGF,and BDNF proteins in rats in the Res+SCLCs group were higher than those in other groups(P＜0.05);The expressions of NT-3,NGF,and BDNF proteins in rats in the SCLCs group were higher than those in the Control group(P＜0.05);the expressions of NT-3 and NGF proteins in rats in the Res group were higher than those in the Control group(P＜0.05).RT-qPCR results showed that the expressions of NT-3,IGF-1,NGF,and BDNF mRNA in rats in the Res+SCLCs group were highly expressed;the expressions of NT-3,IGF-1,NGF,and BDNF mRNA in rats in the SCLCs group were higher than those in the Control group(P＜0.05);The expressions of IGF-1 and NGF mRNA in rats in the Res group were higher than those in the Control group(P＜0.05).Conclusion:Res combined with SCLCs differentiated from ADSCs has a good repair effect on sciatic nerve inju-ry in rats.

Objective To explore the characteristics of blood vitamins A, B2, B6, B12, D, E, K1, K2 and folic acid and their correlation with severity in patients with metabolic-related fatty liver disease (MAFLD). Methods　From September to December 2022, a total of 473 cases of residents were recruited through community MAFLD screening activities and their health information was obtained through questionnaire survey and physical examination. The severity of hepatic steatosis was determined with FibroScan, and vitamin concentrations were determined with liquid chromatography-tandem mass spectrometry. Two independent samples' t-tests were used to assess the differences between the two groups, and univariate chi-square tests and multivariate logistic regression analysis were used to explore the related factors of MAFLD. Results　Of the 473 inhabitants, 195 (41.23%, 195/473) met the diagnostic criteria for MAFLD, including mild 43 (22.05%, 43/195) cases of fatty liver, 88 (45.13%, 88/195) cases of moderate fatty liver, and 64 (32.82%, 64/195) cases of severe fatty liver. Using healthy residents collected during the same period as controls, the overall mean of vitamins A, E, K1, and K2 in the MAFLD group was higher than that of the healthy group, with a statistical difference (P<0.05). Furthermore, the concentrations of vitamins A, E, K1 and K2 increased with the severity of fatty liver [R=0.149, P=0.004; R=0.245, P<0.001; R=0.110, P=0.032; R=0.129，P=0.012]. There were statistically significant differences (P<0.05) in the blood levels of vitamin A and E between patients with moderate or severe fatty liver and the healthy population. The blood vitamins K1 and K2 in severe fatty liver patients were also different from those of healthy people (P<0.05). However, there was no significance between folic acid, vitamin D, B2, B6, B12, and MAFLD (P>0.05). Through univariate chi-square analysis and multivariate logistic regression analysis, it was found that male [Wald=5.789, P=0.034，OR=1.598(1.037-2.463)] and vitamin E≥8.13 μg/mL[Wald=14.632，P<0.001，OR=2.378(1.522-3.674)] were risk factors for moderate and severe MAFLD. Conclusions The concentrations of vitamin A, E, and K in the blood are increased in patients with MAFLD compared to the healthy population, and they are positively correlated with the severity of MAFLD. ale gender and high levels of vitamin E may be related to moderate to severe MAFLD.

Objective: To investigate the expression of H3.3 G34W mutant-specific antibody in giant cell tumors of bone (GCTB), and its value in the diagnosis of GCTB. Methods: Immunohistochemical (IHC) EnVision method was used to detect the expression of H3.3 G34W mutant-specific antibody and p63 in 83 GCTBs, 18 aneurysmal bone cysts, 23 chondroblastomas and 28 osteosarcomas diagnosed at Nanjing Jinling Hospital from June 2001 to April 2019. Results: Among the 83 cases of GCTB, 69 cases (69/83, 83.1%) expressed H3.3 G34W. H3.3 G34W expression was found exclusively in the mononuclear cell population with strong and diffuse nuclear staining. H3.3 G34W was expressed in 55 of 57 (96.5%) cases of GCTB in long bones, but only 14 of 26 (53.8%) cases of non-long bone GCTB. All recurrent (9/9)/metastatic GCTB (2/2), post-denosumab GCTB (3/3), primary malignant GCTB (3/3) and secondary malignant GCTB (5/5) also expressed H3.3 G34W. H3.3 G34W was negative in all aneurysmal bone cysts and chondroblastomas. H3.3 G34W was positive in 3 of 28(10.7%) cases of osteosarcomas, and giant cell-rich osteosarcoma(GCRO) was the only histological subtype of osteosarcoma that expressed H3.3 G34W. p63 was expressed in 71.1%(59/83) of GCTB, while the positive rates of p63 in aneurysmal bone cysts,chondroblastomas and osteosarcomas were 3/18, 43.5% (10/23) and 21.4% (6/28) respectively. The sensitivity and specificity of H3.3 G34W mutant-specific antibody in the diagnosis of GCTB were 83.1% and 95.7%. Conclusions H3.3 G34W mutant-specific antibody is a highly sensitive and specific marker for GCTB and helpful for the diagnosis of GCTB and its variants. The limitation of this antibody is that as a mall number of GCTB harbor G34 mutation other than G34W, and thus that cannot be detected. The incidental expression of H3.3 G34W mutant protein in osteosarcoma could be a potential diagnostic dilemma, and the results of H3.3 G34W IHC staining needs careful interpretation.

Objective:To investigate the diagnostic role of NR4A3/NOR-1 immunohistochemistry in acinic cell carcinoma (AciCC) of the salivary gland.Methods:A total of 142 tumors were collected from 2004 to 2020 at Nanjing Jinling Hospital, including 24 cases of AciCCs, 12 salivary gland secretory carcinomas,14 salivary duct carcinomas,16 adenoid cystic carcinomas,3 basal cell carcinomas,13 mucoepidermoid carcinomas,7 myoepithelial carcinomas,15 pleomorphic adenomas,15 warthin tumor, 8 myoepithelioma,8 basal cell adenomas, and 7 oncocytomas; 28 normal salivary gland tissues and 2 pancreatic AciCC were also included.Results:NR4A3/NOR-1,a nuclear marker,was positive in 91.7% (22/24) of AciCC of the salivary gland,while DOG1,a membranous and cytoplasmic marker, demonstrated a sensitivity of 95.8% (23/24);there was no significant difference in the overall positive rates( P=0.551), but the stain pattern was different. NR4A3/NOR-1 was negative in normal salivary gland tissues and any other types of tumors in the salivary gland; however,DOG1 showed apical staining in the acinar cells in the salivary gland,as well as salivary gland secretory carcinomas,adenoid cystic carcinomas,basal cell carcinomas,mucoepidermoid carcinomas,myoepithelial carcinomas and basal cell adenomas( P<0.001). NR4A3/NOR-1 showed a high sensitivity(91.7%) and specificity(100%) to identify AciCC of the salivary gland,and in combination with DOG1, the sensitivity increased to 100%. Furthermore, NR4A3/NOR-1 were only positive for AciCC arising from salivary glands but not pancreas(0/2)( P=0.018). Conclusion:NR4A3/NOR-1 is a special and sensitive biomarker for AciCC of salivary glands; combined NR4A3/NOR-1 and DOG1 can be an ideal diagnostic immunohistochemical panel for AciCC.

Objective:To investigate the clinical manifestations, imaging features, histopathologic, immunohistochemical (IHC) and ultrastructure features of neuronal intranuclear inclusion disease (NIID).Methods:HE, IHC staining and EM were performed in cases of NIID diagnosed at the Department of Pathology, Jinling Hospital from 2018 to 2019.Results:Two cases were identified, including one male and one female; both patients were 76 years old. They were hospitalized because of nervous system dysfunction. MRI showed abnormal high signal intensity in corticomedullary junction of bilateral frontal lobes (male patient) and bilateral cerebral hemispheres (female patient). Light eosinophilic transparent inclusion bodies were seen in the nuclei of neurons in both rectal mucosa and cutaneous sweat glands, and these were positive for p62 by IHC. By scanning EM, the inclusion bodies in the sweat gland cells nuclei were round membranous structures consisting of 8-18 nm microfilaments.Conclusions:NIID is a rare, multi-system and slowly progressive neurodegenerative disease. Its clinical manifestations are highly diverse and easily misdiagnosed or missed. Neuroimaging can make a preliminary diagnosis. In the past, NIID can only be diagnosed through autopsy, and this study demonstrates that NIID can be confirmed through skin or rectal mucosal biopsy.

Objective: To investigate the clinical, histologic and immunophenotypic features, genetic alterations and prognosis of the rare Xp11 neoplasm with melanocytic differentiation. Methods: Twenty-one cases were selected from the Department of Pathology, Jingling Hospital, Nanjing University School of Medicine from May 2008 to May 2018. The clinicopathologic, immunohistochemical, molecular analysis and follow-up details were collected. Results: There were 7 males and 14 females, with their ages ranging from 4 to 57 years (mean 32.8 years). The tumors were located in kidney (11 cases), pelvis (three cases), and in pancreas, retroperitoneum, adrenal gland, small intestine, prostate, cervix and appendix (one case each). Microscopically, most tumors shared similar morphology such as purely nested or sheet-like architectures separated by a delicate vascular network, purely epithelioid cells with clear to granular eosinophilic cytoplasm, lacks of papillary structures, spindle cell or fat components, uniform round to oval nuclei with small visible nucleoli, and in most of them (16/21) melanin pigment. Immunohistochemically, all cases showed moderately (2+) or strongly (3+) positive staining for TFE3 and Cathepsin K. HMB45 and Melan A were focally expressed in three of 21 cases, while the remaining cases showed typically moderate(2+) or strong (3+) expression. None of the cases were immunoreactive for SMA, desmin, CKpan, S-100 and PAX8. All cases showed TFE3 rearrangement using fluorescence in-situ hybridization (FISH). Fusion FISH assays detected SFPQ-TFE3 gene fusion in 16 cases, NONO-TFE3 gene fusion in two, ASPL-TFE3 and MED15-TFE3 gene fusions in one case each. Polymerase chain reaction and direct sequencing detected SFPQ-TFE3 gene fusion in nine cases, NONO-TFE3 and MED15-TFE3 gene fusions in one case each. Clinical follow-up was available for 15 patients for 12 to 74 months. Six patients died of the disease; and three had recurrences and/or metastases. Six patients were alive with no evidence of disease after initial resection. Conclusions Xp11 neoplasm with melanocytic differentiation has unique morphologic, immunophenotypic and genetic characteristics. The tumor is aggressive, and should be differentiated from Xp11 translocation RCC and perivascular epithelioid cell tumor.