Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting both upper and lower motor neurons. ALS patients develop progressive muscle atrophy, muscle weak and paralysis, finally died of respiratory failure. ALS is characterized by fast aggression and high mortality. What' s more, the disease is highly heterogeneous with unclear pathogenesis and lacks effective drugs for therapy. In this review, we summarize the main pathological mechanisms and the current drugs under development for ALS, which may provide a reference for the drug discovery in the future.

Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

Objectives To analyze the spatial and temporal aggregation of multidrug resistant pulmonary tuberculosis (MDR-TB) incidence in Nanning at the township / street scale from 2017 to 2021, to explore the spatial and temporal characteristics of the spread of MDR-TB in Nanning, and to provide a scientific reference basis for the health administrative departments to achieve the precise implementation of MDR-TB prevention and control. Methods Based on the data of MDR-TB cases in Nanning from 2017 to 2021, the spatial-temporal scanning analysis software SaTScan v9.7 was used to retrospectively detect and analyze the areas where MDR-TB cases gathered. Results Through simple spatial scanning analysis, it was found that there were three first-class aggregation areas (the aggregation center was Fujiayuan Street, Jiangnan District, 2017, Xinyang Street, Xixiangtang District, 2019, and Zhonghe Town, Yongning District, 2020), and one second-class aggregation area (the aggregation center was Jinchai Town, Mashan County, 2020). Simple time scanning showed that the clustering occurred from May 2019 to December 2020. Temporal and spatial aggregation analysis showed that Xinyang Street in Xixiangtang District was the center of the first-class aggregation area, Zhonghe Town in Yongning District was the center of the second-class aggregation area, and Jinchai Town in Mashan County was the center of the third-class aggregation area. Conclusion The multidrug resistant pulmonary tuberculosis epidemic in Nanning is distributed in an aggregated manner, especially in Xinyang Street, Xixiangtang District, which has the highest spatial and temporal aggregation. It is necessary to focus on and take regional prevention and control measures to control the epidemic.

From the perspective of the physiological basis of liver and kidney sharing the common source in traditional Chinese medicine(TCM),and by integrating the theory of kidney dominating bone,liver dominating tendon,and meridian sinew of TCM as well as the bone resorption and collapse theory,and non-uniform settlement theory and lower-limb musculoskeletal bowstring structure theory of modern orthopedics,the pathogenesis of osteonecrosis of the femoral head(ONFH)under the system of non-uniform settlement during bone resorption and multidimensional composite bowstring working in coordination with the theory of liver-kidney and muscle-bone was explored.The key to the TCM pathogenesis of ONFH lies in the deficiency of the liver and kidney,and then the imbalance of kidney yin-yang leads to the disruption of the dynamic balance of bone formation and bone resorption mediated by osteoblasts-osteoclasts,which manifests as the elevated level of bone metabolism and the enhancement of focal bone resorption in the femoral head,and then leads to the necrosis and collapse of the femoral head.It is considered that the kidney dominates bone,liver dominates tendon,and the tendon and bone together constitute the muscle-bone-joint dynamic and static system of the hip joint.The appearance of collapse destroys the originally balanced muscle-bone-joint system.Moreover,the failure of liver blood in the nourishment of muscles and tendons further exacerbates the imbalance of the soft tissues around the hip joint,accelerates the collapse of the muscle-bone-joint dynamic and static system,speeds up the process of femoral head collapse,and ultimately results in irreversible outcomes.Based on the above pathogenesis,the systematic integrative treatment of ONFH should be based on the TCM holistic concept,focuses on the focal improvement of internal and external blood circulation of the femoral head by various approaches,so as to rebuild the coordination of joint function.Moreover,attention should be paid to the physical constitution of the patients,and therapy of tonifying the kidney and regulating the liver can be used to restore the balance between osteogenesis and osteoblastogenesis,and to reconstruct the muscle-bone-joint system,so as to effectively delay or even prevent the occurrence of ONFH.

Objective To report a case of synovial sarcoma of the liver and review the literature for improving the understanding of the disease.Methods The clinical data of a patient with liver synovial sarcoma admitted to the First Affiliated Hospital of Henan University were analyzed retrospectively.The imaging,pathological features,treatment and prognosis of this disease were summarized by searching the database(CNKI,Wanfang Data,PubMed,untill July 2022)and the literature results analyzed comprehensively.Results The patient was a 71-year-old female who was admitted to the hospital due to abdominal pain.Computed tomography(CT)scan showed a mass with mixed density in the right lobe and caudate lobe of the liver.The large cross section size was about 115 mm×87 mm and the mass showed continuous heterogeneous enhancement,being considered as malignant hepatic tumors with multiple metastasis of the liver and lung.Ultrasound-guided needle biopsy was performed,and microscopy showed the tumor cells were obvious atypical,and some were spindle-shaped.Immunohistochemistry showed that the patient was positive for vimentin(VIM),epithelial membrane antigen(EMA),methylation of histone at lysine 27(H3K27Me3),and negative for pan cytokeratin(CK-pan)and S-100,and pathological diagnosis of synovial sarcoma was made.The patient did not undergo subsequent treatment and was lost to follow-up after discharge.A total of 12 cases of hepatic synovial sarcoma were reported after searching the database.The clinical manifestations were abdominal pain or distention.The lesions were mostly located in the right lobe of the liver,usually large,heterogeneous density,and heterogeneous enhancement on enhanced CT or magnetic resonance imaging(MRI).Spindle-shaped cells were found at histopathologic examination.Immunohistochemistry showed the patient was positive for VIM,EMA,H3K27Me,B-cell leukemia/lymphoma-2(BCL-2)and transducer-like enhancer of split 1(TLE1).SS18-SSX fusion gene or SS18 gene isolation were detected.Eleven patients received surgical treatment,5 received adjuvant chemotherapy,and 4 had recurrence or metastasis during the follow-up period.Conclusions Synovial sarcoma of the liver is a rare malignant tumor of the liver.The clinical and imaging features are not specific.The diagnosis depends on pathology.At present,the main treatment is surgery,and comprehensive treatment such as adjuvant chemotherapy can be performed.The prognosis of the patient is poor.

The incidence of dementia increased significantly in the context of an aging population,imposing a significant burden on the economy and society.Therefore,finding the specific mechanism underlying cognitive decline in aging is of paramount significance.Recently,the role of microglia in the initiation and progression of cognitive decline in aging has become a research hotspot.Microglia,the resident immune cells of CNS,play important roles in immunosurveillance,synaptic pruning,damage repair and maintaining immune homeostasis.However,microglia undergo a variety of changes in cell morphology,gene expression and functional status with aging.This article review the impact of normal aging on microglia and the role of microglia in the pathogenesis of cognitive decline in aging,to provide a novel strategy for slowing or preventing the onset of dementia.

Objective·To analyze the clinicopathologic characteristics,gene mutation profile,and prognostic factors of thyroid diffuse large B-cell lymphoma(DLBCL).Methods·From November 2003 to December 2021,a total of 66 patients with thyroid DLBCL[23 cases(34.8%)with primary thyroid DLBCL,and 43 cases(65.2%)with secondary thyroid DLBCL]admitted to Ruijin Hospital,Shanghai Jiao Tong University School of Medicine were retrospectively analyzed for their clinicopathological data,survival and prognostic factors.Gene mutation profiles were evaluated by targeted sequencing(55 lymphoma-related genes)in 40 patients.Results·Compared to primary thyroid DLBCL,secondary thyroid DLBCL had advanced ratio of Ann Arbor stage Ⅲ?Ⅳ(P=0.000),elevated serum lactate dehydrogenase(LDH)(P=0.043),number of affected extranodal involvement≥2(P=0.000),non-germinal center B cell(non-GCB)(P=0.030),BCL-2/MYC double expression(DE)(P=0.026),and international prognostic index(IPI)3?5-scores(P=0.000).The proportion of patients who underwent thyroid surgery(P=0.012)was lower than that of patients with primary thyroid DLBCL.The complete remission(CR)rate in primary thyroid DLBCL patients was higher than that in secondary thyroid DLBCL patients(P=0.039).Fifty-five patients(83%)received rituximab combined with cyclophosphamide,doxorubicin,vincristine,and prednisone(R-CHOP)-based first-line regimen.The estimated 5-year progression free survival(PFS)rate of primary thyroid DLBCL patients was 95.0%,higher than the 49.7%of the secondary patients(P=0.010).Univariate analysis showed that Ann Arbor Ⅲ?Ⅳ(HR=4.411,95%CI 1.373?14.170),elevated LDH(HR=5.500,95%CI 1.519?19.911),non-GCB(HR= 5.291,95%CI 1.667?16.788),and DE(HR=6.178,95%CI 1.813?21.058)were adverse prognostic factors of PFS in patients with thyroid DLBCL.Ann Arbor Ⅲ?Ⅳ(HR=7.088,95%CI 0.827?60.717),elevated LDH(HR=6.982,95%CI 0.809?60.266),and DE(HR=18.079,95%CI 1.837?177.923)were adverse prognostic factors of overall survival(OS).Multivariate analysis showed that Ann Arbor Ⅲ?Ⅳ(HR=4.693,95%CI 1.218?18.081)and elevated LDH(HR=5.058,95%CI 1.166?21.941)were independent adverse prognostic factors of PFS in patients with thyroid DLBCL.Targeted sequencing data showed mutation frequency>20%in TET2(n=14,35%),KMT2D(n=13,32%),TP53(n=11,28%),GNA13(n=10,25%),KMT2C(n=9,22%),and TP53 were adverse prognostic factors of PFS in patients with thyroid DLBCL(P=0.000).Conclusion·Patients with primary thyroid DLBCL have better PFS and OS than those with secondary thyroid DLBCL.Ann Arbor Ⅲ?Ⅳ,elevated LDH,non-GCB,and DE(MYC and BCL2)are adverse prognostic factors in thyroid DLBCL.TET2,KMT2D,TP53,GNA13,and KMT2C are commonly highly mutated genes in thyroid DLBCL,and the prognosis of patients with TP53 mutations is poor.

Objective To explore the value of endoscopic ultrasonography combined with linked color imaging/blue laser imaging technology combined with magnifying endoscopy(LCI/BLI-ME)in determining the depth of infiltration in early gastric cancer after eradication of Helicobacter pylori(H.pylori),as well as the influencing factors affecting the accuracy of the judg-ment,so as to explore its clinical application value.Methods Clinical data of 91 patients with early gastric cancer after H.pylori eradication were collected from October 2017 to June 2023 in Wuhan No.1 Hospital.Based on the pathological diag-nosis,the endoscopic manifestations of gastric mucosa and early gastric cancer after eradication of H.pylori were summa-rized.The accuracy of endoscopic ultrasonography combined with LCI/BLI-ME in determining the infiltrating depth of early gastric cancer and the related factors affecting the accuracy were evaluated.Sensitivity,specificity,and accuracy were used to in-dicate the effectiveness of endoscopic diagnosis.Chi-square test was used to compare the difference between endoscopic diagnosis and pathological diagnosis.Logistic regression analysis was used to determine the factors affecting the diagnostic accuracy of en-doscopy.Results The overall accuracy of endoscopic ultrasonography combined with LCI/BLI-ME in determining the infiltra-tion depth of early gastric cancer after H.pylorieradication was 77.08％,and the accuracies of uT1a and uT1b stages were 82.86％and 61.53％,respectively.There were 12 under-diagnosed cases(17.14％)and 10 over-diagnosed cases(38.46％).The sensitivity,specificity,positive predictive value and negative predictive value of endoscopic ultrasonography combined with LCI/BLI-ME in the diagnosis of mucosal lesions were 85.29％,57.14％,82.86％and 61.5％,respectively.The results of univariate and multivariate logistic regression analysis showed that the maximum diameter of the lesion and the degree of tissue differentia-tion were the factors affecting the diagnostic accuracy,but not the location and shape of the lesion.The accuracy of endoscopy in judging the infiltration depth of early gastric cancer was decreased with the increase of lesion or the reduction of tissue differen-tiation degree.Conclusion Endoscopic ultrasonography combined with LCI/BLI-ME has good clinical application value in deter-mining the infiltration depth of early gastric cancer T1a after H.pylori eradication.The lesion size and the degree of tissue dif-ferentiation affect the accuracy of the judgment.