Autism spectrum disorder in children (hereinafter called "childhood autism") is a prevalent neurodevelopmental condition; however, ancient Chinese medical texts did not provide detailed accounts of it. The concept of "the sovereign fire illuminates, while the ministerial fire occupies its position" was first introduced in the Plain Questions: The Great Treatise on the Origin of Heavenly Influences chapter. Subsequent medical practitioners have elaborated on this idea, identifying the sovereign fire as the master of the spirit and governing life activities, while the ministerial fire is the assisting minister that supports the functions of the zang-fu organs. When these two are in harmony, they complement each other, collectively sustaining the body′s normal physiological functions. In the context of this theory, the pathogenesis of childhood autism is attributed to the imbalance between the sovereign and ministerial fires. The root cause lies in the mutual antagonism of these two fires, resulting in the dysfunction of the spirit. Central to childhood autism onset is the dimming of the sovereign fire and a deficiency in the spirit, while the displacement of the ministerial fire and the impaired function of the five viscera contribute significantly to the progression of the condition. Effective treatment for childhood autism involves restoring these imbalances: dispelling yin-related obstructions to illuminate the sovereign fire, nourishing the spleen and kidney to nourish the ministerial fire, and regulating the liver and lung to harmonize the sovereign and ministerial fires. The ultimate goal is to integrate body and spirit, harmonize the sovereign and ministerial fires, and restore the interconnectedness between spirit and the function of the five zang viscera. This article, based on the "the sovereign fire illuminates, while the ministerial fire occupies its position" theory, provides a novel perspective and insights for understanding and treating childhood autism through the holistic principles of traditional Chinese medicine. Emphasizing the integration of body and spirit offers new insights and approaches for the clinical management of childhood autism in traditional Chinese medicine.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

ObjectiveTranscription factor NFE2 was observed abnormal expression in myeloproliferative neoplasm (MPN) patients. However, how NFE2 is transcriptionally regulated remains ambiguous. This study aims to explore the elements and molecular mechanisms involved in the transcriptional regulation of NFE2. MethodsActive enhancers were predicted by public NGS data and conformed experimentally via dual luciferase reporter assay. After that, PRO-seq and GRO-seq data was used to detect enhancer RNAs transcribed from these enhancers. RACE was utilized to clone the full length enhancer RNA (eRNA) transcripts, and RT-qPCR was used to measure their expression in different leukemia cell lines as well as the transcript levels during induced differentiation. Finally, to investigate the molecular function of the eRNA, overexpression and knockdown of the eRNA via lentivirus system was performed in K562 cells. ResultsWe identified three enhancers regulating NFE2 transcription, which located at -3.6k, -6.2k and +6.3k from NFE2 transcription start site (TSS) respectively. At the -3.6k enhancer, we cloned an eRNA transcript and characterized that as a lncRNA which was expressed and located in the nucleus in three types of leukemia cell lines. When this lncRNA was overexpressed, expression of NFE2 was upregulated and decreases of K562 cell proliferation and migration ability were observed. While knocking down of this lncRNA, the level of NFE2 decreases correspondingly and the proliferation ability of K562 cells increases accordingly. ConclusionWe identified an enhancer lncRNA that regulates NFE2 transcription positively and suppresses K562 cell proliferation.

Objective This study aimed to analyze the impact of genetic factors on the clinical presentation of tic disorder and investigate the pathogenesis of tic disorder considering different sources of genetic influence and generations,along with the distribution characteristics of evidence from Chinese medicine.Methods Inclusion of 474 cases of tic disorder was assembled(from October,2020 to October,2023),and clinical data on the children,including gender,age of onset,disease duration,initial symptoms,severity,comorbidities,and family history,and TCM patterns were collected.Firstly,the children were divided into genetic and nongenetic groups based on family history,and their clinical manifestations were observed.Secondly,the age of peak incidence of tic disorder in China(6 or 9 years)was used as the age segmentation point to explore the influence of heredity on clinical manifestations at different ages and the distribution of TCM patterns.Finally,children with genetically-related tic disorder were selected as probands to carry out family studies.The morbidity of the first-degree,second-degree and third-degree relatives of the probands were investigated to analyze the morbidity characteristics and distribution of TCM patterns of children with tic disorder under different genetic types.Results Out of 474 children,226 cases(47.7％)belonged to the genetic group,and 248 cases(52.3％)to the nongenetic group.Compared with the non-genetic group,the genetic group had a younger age of onset(P=0.013),a longer duration of illness(P=0.011),a higher degree of severity(P＜0.01),and more comorbid conditions(P=0.016).Children in the genetic group with an age of onset under 6 years accounted for a larger proportion of the liver-hyperactive and wind-driven pattern(26.5％)and a smaller proportion of the qi depression transforming into fire pattern(17.1％),which were significantly different from those in the non-genetic group(P=0.016).In the genetic group,146 cases(64.6％)were inherited from the father,80 cases(35.4％)from the mother,and there was no significant difference in the developmental characteristics of children with tic disorder from different sources of genetic influence.Furthermore,183 cases(81.0％)were inherited from the parent-child generation,26 cases(11.5％)from the second generation,and 17 cases(7.5％)from the third generation;the difference in initial symptoms between different genetic generations was statistically significant(P=0.042).Conclusion Children with genetically related tic disorder have a younger age of onset,their condition is more severe,and they are more likely to be comorbid with other psychiatric disorders.The variation in the distribution of Chinese medicine patterns among children with tic disorder of different ages of onset.

Objective:To analyze the efficacy and safety of daratumumab plus dexamethasone in the treatment of renal injury patients with light chain amyloidosis, and to provide clinical reference.Methods:It was a single center retrospective observational study. The clinical data before and after daratumumab treatment of renal injury patients with light chain amyloidosis treated with daratumumab plus dexamethasone from December 2021 to August 2022 were retrospectively collected. The hematologic response, kidney response, prognosis, and adverse events were analyzed. The treatment regimen was 16 mg/kg intravenous infusion of daratumumab on day 1 + 20 mg intravenous push of dexamethasone on day 1-2, once every 2 weeks. The follow-up was up to February 28, 2023.Results:The study included 18 patients, with age of (58.4±7.7) years old, and a male to female ratio of 11∶7. Eleven patients were newly diagnosed and 7 patients were retreated. There were 7, 5, 5 and 1 patients, respectively at the stage Ⅰ, Ⅱ, Ⅲ and Ⅳ of light chain amyloidosis according to 2012 Mayo stage criteria. The median course of disease before onset was 2.5 (1.0, 8.0) months and the follow-up time was (8.7±2.8) months. The patients received (10±3) times of treatment. The overall hematologic response rates were 9/13, 11/13 and 13/13 at 1 month, 3 months, and 6 months respectively after treatment, meanwhile 8/13, 10/13 and 12/13 achieved at least very good partial response at 1 month, 3 months, and 6 months respectively (the other 5 patients did not undergo detailed evaluation due to baseline difference of serum free κ and λ light chain <20 mg/L). The median duration of hematologic response was 16 (13, 40) days. At 3 months, 6 months and the end of follow-up, 10, 13 and 13 of 18 patients respectively achieved renal response, and the median duration of response was 66 (26, 182) days. During follow-up, the median difference of serum free κ and λ light chain decreased by 93% (72%, 97%). Until the last follow-up, one patient died of organ hemorrhage. Other infusion reactions, leukopenia, neutropenia and infection all improved after symptomatic treatments.Conclusion:Daratumumab plus dexamethasone treatment is effective for light chain amyloidosis nephropathy in inducing hematologic remission and kidney remission, with good safety.