Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the relationship between ST-segment elevation myocardial infarction(STEMI)treatment time nodes and coronary microcirculation dysfunction(CMD)after primary percutaneous coronary intervention(PCI)and its prognosis,providing evidence for early identification of high-risk patients,further optimization of treatment system,shortening treatment time and improving prognosis.Methods This study selected 150 STEMI patients who received primary PCI at the 920th Hospital of the Joint Logistic Support Force of the People's Liberation Army of China from March 2023 to September 2023 as the CMD group after PCI(89 cases),with a microcirculation resistance index(caIMR)of≥40 U based on coronary angiography.caIMR＜40 U was classified as the non-CMD group(61 cases).The clinical data,various examination indicators and imaging data of the two groups of patients were collected,and the occurrence of major adverse cardiovascular events(MACE)within half a year after direct PCI of the patients was followed up.The correlation between the two variables was analyzed using Spearman.Multivariate Logistic regression was used to analyze the relationship between each treatment time point and the occurrence of CMD after direct PCI.Using receiver operating characteristic(ROC)curve analysis to predict the occurrence of CMD after direct PCI.The survival curves between the two groups were plotted using the Kaplan-Meier method.Results The levels of symptom onset-to-balloon(S-to-B),symptom onset-to-first medical contact(S-to-FMC),first medical contact-to-balloon(FMC-to-B),symptom onset-to-door(S-to-D)and first medical contact-to-door(FMC-to-D)in the CMD group were significantly higher than those in the non-CMD group(all P＜0.05).Correlation analysis showed that S-to-D,S-to-FMC,the time from FMC-to-B,and the time from FMC-to-D were all positively correlated with the time from S-to-B(r=0.996,P＜0.001;r=0.937,P＜0.001;r=0.431,P＜0.001;r=0.441,P＜0.001).Multivariate Logistic regression analysis indicated that the duration of S-to-D(OR 2.165,95％CI 1.655-2.830,P＜0.001)was a significant influencing factor for CMD.Moreover,S-to-D has a relatively high predictive value for the occurrence of CMD after direct PCI.The area under the ROC curve is 0.898(95％CI 0.850-0.946,P＜0.001),the optimal cut-off value is 231 min,the sensitivity is 82.0％,and the specificity is 88.5％.Kaplan-Meier curve analysis showed that the cumulative survival rate of MACE outcomes in the CMD group was significantly lower than that in the non-CMD group(Log-rank P=0.009).Conclusions Shortening the S-to-D time can reduce the occurrence of CMD after PCI,thereby reducing the incidence of MACE and improving prognosis.

OBJECTIVE: To investigate the efficacy and safety of combination regimen containing daratumumab in multiple myeloma (MM) patients. METHODS: The clinical data of 14 newly diagnosed MM patients and 58 relapsed refractory MM patients treated with combination regimen containing daratumumab from November 2020 to March 2023 in the First Affiliated Hospital of Nanchang University were retrospectively analyzed. The efficacy and safety of combination regimen were analyzed. RESULTS: The median age of the 72 patients was 62 (38-78) years, including 35 males and 37 females. The overall response rate (ORR) of patients receiving first-line, second-line, and third-line or above treatment was 92.9% (13/14), 68.2% (30/44), and 42.9% (6/14), respectively. The median progression-free survival (PFS) was not reached, 15.4 months, and 9.7 months in three groups, respectively (all P <0.05), while the median overall survival (OS) was all not reached. Among relapsed refractory patients, the ORR of those treated with DVd, DPd and DRd regimen was 50.0% (12/24), 40.0% (4/10) and 100% (10/10), the median PFS was 2.8 months, 10.3 months and not reached, and the median OS was 15.4 months, not reached and not reached, respectively. Furthermore, the PFS and OS in the DRd group were superior to those in the other two groups (all P <0.05). Cox univariate and multivariate analysis showed that lactate dehydrogenase (LDH) ≥250 U/L and extramedullary disease were independent adverse prognostic factors for PFS, and LDH ≥250 U/L was also an independent adverse prognostic factor for OS. Hematologic adverse reactions were mainly lymphopenia (87.5%) and thrombocytopenia (52.8%), while non-hematologic adverse reactions were mainly infusion-related reactions (19.4%) and infections (11.1%). CONCLUSIONS The combination regimens containing daratumumab can be used as first-line treatment for patients with newly diagnosed MM. In patients with relapsed refractory MM, early use of regimens containing daratumumab may improve treatment response rate and prolong PFS. The DRd regimen has better therapeutic response and survival advantages. LDH is an independent prognostic factor affecting PFS and OS in MM patients.
Humans ; Multiple Myeloma/drug therapy* ; Middle Aged ; Aged ; Male ; Female ; Antibodies, Monoclonal/administration & dosage* ; Adult ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Treatment Outcome

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people. METHODS: 19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log₁₀ (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023. RESULTS: Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses. CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To evaluate the role of hippocampal activating transcription factor 5 (ATF5) in cognitive impairment induced by neuropathic pain and the relationship with mitochondrial unfolded protein response(mtUPR) in mice.Methods:This study was conducted in 2 parts. Experiment Ⅰ Twenty-four SPF healthy male C57BL/6 mice, aged 6-8 weeks, weighing 20-25 g, were divided into 2 groups ( n=12 each) using a random number table method: sham operation group (S1 group) and neuropathic pain group (NP group). Neuropathic pain was induced by chronic constriction injury to the sciatic nerve. The mechanical paw withdrawal threshold (MWT) and thermal paw withdrawal latency (TWL) were measured before developing the model and at 7, 14, 21 and 28 days after developing the model. Mouse cognitive function was assessed using the novel object recognition test from 30-31 days after developing the model. After the end of the novel object recognition test, mice were sacrificed and the hippocampal CA1 region was harvested for determination of the expression of ATF5 (by Western blot) and the expression of ATF5 in neurons, microglia and astrocytes (by immunofluorescence double staining). Experiment Ⅱ Thirty-six SPF healthy male C57BL/6 mice, aged 6-8 weeks, weighing 20-25 g, were divided into 3 groups ( n=12 each) using a random number table method: sham operation group (S2 group), neuropathic pain + ATF5 up-regulation group (NA group), and neuropathic pain + empty virus group (NE group). On day 14 after developing the model, a virus that specifically up-regulated ATF5 expression in neurons and empty virus were injected into the hippocampal CA1 region. The MWT and TWL were measured at days 28 and 35 after developing the model. The novel object recognition test was performed on day 36 after developing the model to evaluate the cognitive function. After the end of the behavioral test, mice were sacrificed and the hippocampal CA1 region was harvested for detection of the expression of ATF5 and mtUPR marker proteins (Lon protease [LONP1] and heat shock protein 60 [HSP60]) by Western blot. Results:Experiment Ⅰ Compared with S1 group, no statistically significant change was found in the MWT and TWL before developing the model ( P>0.05), the MWT and TWL were significantly decreased on days 7, 14, 21 and 28 after developing the model, the discrimination index (DI) was decreased at day 31 after developing the model, the expression of ATF5 was down-regulated, the expression of ATF5 in neurons was down-regulated ( P<0.05), and no statistically significant change was found in the expression of ATF5 in mircrolia and astrocytes in NP group ( P>0.05). Experiment Ⅱ Compared with S2 group, the MWT and TWL were significantly decreased on days 28 and 35 after developing the model in NE group and NA group, DI was decreased, and the expression of ATF5, LONP1 and HSP60 was down-regulated in NE group ( P<0.05), and no significant change was found in NA group ( P>0.05). Compared with NE group, no significant change was found in the MWT and TWL in NA group ( P>0.05), DI was significantly increased, and the expression of ATF5, LONP1 and HSP60 was up-regulated in NA group ( P<0.05). Conclusions:Down-regulated ATF5 in the hippocampus is involved in the process of cognitive impairment caused by neuropathic pain, and the mechanism may be related to the inhibition of mtUPR.