Onco-critical care has emerged as an important subspecialty at the intersection of critical care medicine and oncology, attracting increasing attention in recent years. With continuous innovations in cancer therapies, patient survival has improved significantly; however, the incidence of associated critical complications has also increased. The reasons for cancer patients requiring intensive care unit admission are diverse and can be broadly categorized into three groups: progression of the underlying malignancy, treatment-related complications, and coexisting classical critical illnesses. Traditional critical care concepts and practices face limitations in addressing the multidimensional and heterogeneous challenges of onco-critical care. Based on the core mechanism of critical illness development—host/organ unregulated response (HOUR)—this article systematically elaborates on how this framework advances understanding and clinical practice into onco-critical care, with emphasis on its manifestations in neuroendocrine, immune-inflammatory, and coagulation-metabolic pathways. The review summarizes recent advances in clinical assessment and phenotyping systems for onco-critical illness and discusses a multidisciplinary, integrated management strategy centered on the "Disease Control, Host Response Modulation, Organ Support" triad. Finally, major challenges and future directions in this field are outlined. By integrating existing evidence and theoretical insights, this review aims to provide new perspectives and a theoretical foundation for the clinical management of onco-critical illness, thereby promoting its evolution toward precision and standardization.

Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Brain science research involves technological applications such as bioengineering， information technology， artificial intelligence （AI）， and brain-computer interfaces， making it a focal area where advanced technologies and ethical issues converge. Currently， brain projects in multiple countries have entered their second-phase project processes and begun to reflect on the ethical challenges that emerged during the initial research phase. By sorting out and analyzing the coping strategies for ethical issues adopted by major international organizations related to brain science and countries that have launched brain projects， this paper pointed out the problems existing in brain science research， such as information security and data rights， the boundaries of technical power， the balance of stakeholders， the reductionist paradigm and the trend of technological dehumanization， as well as the inadequacy and practicality of ethical principles. It also analyzed the enlightenment of the global brain project’s ethical governance practices for China’s brain science ethical research， namely， avoiding overly optimistic deconstruction of the human brain through biological reductionism and preventing technocratic impulses to replace or manipulate the rich psychological experiences of human beings with AI or brain-computer interfaces. This paper proposed recommendations for developing neuroethics， advocating for constructing a technology development path enriched with humanistic care under the framework of scientific and technological ethics while strengthening foundational research in neuroethics.

ObjectiveTo investigate the therapeutic effect and mechanism of Huatan Qushi Huoxue prescription on rats with metabolic dysfunction-associated steatohepatitis （MASH）. MethodsA total of 60 specific pathogen-free Sprague-Dawley rats were randomly divided into blank control group， model A group， model B group， Western medicine group （polyene phosphatidylcholine， 143.64 mg/kg）， high-dose Chinese medicine group （Huatan Qushi Huoxue prescription， 20.16 g/kg）， and middle-dose Chinese medicine group （Huatan Qushi Huoxue prescription， 10.08 g/kg）. All rats except those in the blank control group were given high-fat diet. Samples were collected from the model A group at week 8， and since week 12， the other groups were given the corresponding drug once a day for 8 consecutive weeks， with samples collected at week 20. Body weight， liver wet weight， and liver index were measured for all rats； the microplate method was used to measure the serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， and free fatty acids （FFA）； ELISA was used to measure the serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and soluble triggering receptor expressed on myeloid cells 2 （sTREM2）； HE staining and oil red O staining were performed to observe liver histopathological changes； immunofluorescence assay was used to measure CD68⁺TREM2⁺ cells in liver tissue and calculate the phagocytosis rate of macrophages； quantitative real-time PCR was used to measure the mRNA expression levels of sphingosine 1-phosphate （S1P）， sphingosine 1-phosphate receptor 1 （S1PR1）， a disintegrin and metalloproteinase 17 （ADAM17）， and triggering receptor expressed on myeloid cells 2 （TREM2） in liver tissue， and immunohistochemistry was used to measure the protein expression levels of S1P， S1PR1， ADAM17， and TREM2 in liver tissue. A one-way analysis of variance was used for comparison of normally distributed continuous data with homogeneity of variance between groups， and the least significant difference t-test was used for further comparison between two groups； the Welch’s test was used for comparison of normally distributed continuous data with heterogeneity of variance between groups， and the Tamhane’s test was used for further comparison between two groups. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups， and the Dunn’s test was used for further comparison between two groups. ResultsCompared with the blank control group， the model A group and the model B group had significant increases in body weight and liver wet weight， and the model B group had a significant increase in liver index （all P<0.05）. HE staining showed diffuse macrovesicular steatosis of liver tissue in the model A group and a large number of hepatocytes with ballooning degeneration in liver tissue in the model group B， with the presence of mixed inflammatory cell infiltration and mild perisinusoidal fibrosis in the lobules and the portal area. Compared with the blank control group， the model A group and the model B group had significant increases in NAS score and oil red O-positive area （all P<0.05）， and the model B group had significant increases in these two indicators than the model A group （both P<0.05）. Compared with the blank control group， the model A group and the model B group had significant increases in the serum levels of TC， TG， LDL-C， FFA， IL-1β， IL-6， and sTREM2 and a significant reduction in the serum level of HDL-C， and the model B group had significant increases in the serum levels of ALT， AST， and TNF-α （all P<0.05）； compared with the model A group， the model B group had significant increases in the serum levels of ALT， AST， TC， TG， FFA， TNF-α， IL-1β， IL-6， and sTREM2 and a significant reduction in the serum level of HDL-C （all P<0.05）. Immunofluorescence assay showed that compared with the blank control group， the model A group had a significant increase in the phagocytosis rate of macrophages （P<0.05）， while the model B group had a significantly lower phagocytosis rate of macrophages than the model A group （P<0.05）. Quantitative real-time PCR showed that compared with the blank control group， the model A group and the model B group had a significant increase in the mRNA expression level of TREM2， and the model B group had significant increases in the mRNA expression levels of S1P and S1PR1 （both P<0.05）； moreover， compared with the model A group， the model B group had significant increases in the mRNA expression levels of S1PR1 and TREM2 （both P<0.05）. Immunohistochemistry showed that compared with the blank control group， the model A group and the model B group had significant increases in the protein expression levels of S1P， S1PR1， and ADAM17， and the model A group had a significant increase in the protein expression level of TREM2 （all P<0.05）； compared with the model A group， the model B group had significant increases in the protein expression levels of S1P， S1PR1， and ADAM17 and a significant reduction in the protein expression level of TREM2 （all P<0.05）. Compared with the model B group， each medication group had significant reductions in body weight， liver wet weight， and liver index （all P<0.05）； each medication group had significant improvements in hepatic steatosis and inflammatory damage， with significant reductions in NAS score and oil red O-positive area （all P<0.05）； each medication group had significant reductions in the serum levels of ALT， AST， TC， TG， FFA， IL-1β， and IL-6 （all P<0.05） and a significant increase in the serum level of HDL-C （P<0.05）， and the high-dose Chinese medicine group had a significant reduction in the serum level of TNF-α （P<0.05）； each medication group had a significant increase in the phagocytosis rate of macrophages （all P<0.05）； the high- and middle-dose Chinese medicine groups had a significant reduction in the protein expression level of ADAM17， and the high-dose Chinese medicine group had a significant increase in the protein expression level of TREM2 （all P<0.05）. ConclusionHuatan Qushi Huoxue prescription improves lipid metabolism and inflammation in the liver of MASH rats by regulating hepatic macrophage phagocytosis.

OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide. Despite therapeutic advancements over recent decades, the prognosis for patients with metastatic CRC (mCRC) remains poor. Approximately 2%-4% of mCRC cases exhibit human epidermal growth factor receptor 2 (HER2) amplification or overexpression, defining a distinct molecular subtype. This HER2-positive status is strongly associated with primary resistance to anti-epidermal growth factor receptor (EGFR) therapies, which are the standard of care for patients with RAS wild-type tumors. Beyond its well-established role in breast and gastric cancers, HER2 has emerged as a pivotal biomarker and actionable therapeutic target in mCRC. However, selecting appropriate treatment strategies remains challenging due to patient heterogeneity and diverse molecular subtypes. This review systematically summarizes the molecular biology, diagnostic strategies, and advances in targeted therapies for HER2-positive mCRC. On the diagnostic front, we discuss the applications of immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), next-generation sequencing (NGS), and circulating tumor DNA (ctDNA) detection technologies. We highlight discrepancies in diagnostic criteria across key clinical trials—such as HERACLES, DESTINY, and MOUNTAINEER—underscoring the urgent need for standardized, CRC-specific definitions to ensure consistent patient selection and comparability of efficacy data across studies. Although NGS enables comprehensive genomic profiling, its cost-effectiveness relative to traditional methods must be carefully considered. Therapeutically, we summarize clinical trial data for HER2-directed agents, including tyrosine kinase inhibitors (TKIs) such as tucatinib and lapatinib, monoclonal antibodies like trastuzumab, bispecific antibodies, and antibody-drug conjugates (ADCs) such as trastuzumab deruxtecan. We review dual-targeting strategies and note recent FDA approvals that represent significant milestones in second-line treatment. Additionally, we explore the potential of combining immune checkpoint inhibitors with HER2-targeted therapies to enhance antitumor immunity through mechanisms including antibody-dependent cellular cytotoxicity (ADCC) and modulation of the tumor microenvironment. ADCs enable precise delivery of cytotoxic payloads, reducing off-target toxicity while effectively inhibiting oncogenic pathways. A substantial portion of this review is dedicated to dissecting the molecular mechanisms underlying primary and acquired resistance to HER2-targeted therapies—persistent challenges that limit clinical benefit. These mechanisms include reactivation of downstream signaling pathways such as PI3K/AKT/mTOR and MAPK, concurrent mutations in genes like KRAS or BRAF, and alterations in HER2 expression that compromise treatment efficacy. For instance, specific HER2 mutations (e.g., L755S) can reduce drug binding affinity, while ctDNA monitoring facilitates early detection of emerging resistance clones during disease progression, thereby enabling timely therapeutic adjustments. Tumor heterogeneity and dynamic interactions with the microenvironment further complicate resistance patterns observed in clinical practice. HER2-targeted therapy represents a new frontier in precision oncology for mCRC, offering renewed hope for improving patient outcomes. Realizing this potential will require continued optimization of diagnostic algorithms and treatment workflows. Future efforts must focus on overcoming resistance, validating liquid biopsy approaches for dynamic monitoring, and establishing unified clinical guidelines. HER2 has become an essential biomarker for stratifying mCRC patients beyond traditional RAS and BRAF status, underscoring the shift from empiric treatment to biomarker-driven precision medicine. International, multidisciplinary collaboration will be critical to validate emerging biomarkers and refine treatment algorithms globally.

Objective To investigate the epidemiological characteristics of lymphoma mortality and potential years of life lost among Wuhan residents, and to provide a scientific basis for the prevention and control of lymphoma. Methods Data on lymphoma deaths among residents in Wuhan from 2010 to 2019 were collected from the population-based Wuhan Mortality Surveillance System. Joinpoint regression model was used to evaluate the trends in age-standardized mortality rates and potential years of life lost due to lymphoma among the residents of different ages and genders. Potential years of life lost rate was used to assess the disease burden. Results There were 4 055 deaths (2481in male and 1 574 in female) from major kidney diseases in Wuhan residents between 2010 to 2019, with an age-standardized mortality rate of 5.11/100 000. The mortality rate of major kidney diseases showed an upward trend with increasing age. Between 2010 and 2019, the age-standardized mortality rates of the multiple myeloma and non-Hodgkin lymphoma were significantly increased (APC=6.924%, APC=1.407%, P＜0.05), and the potential years of life lost rate of non-Hodgkin lymphoma in female were significantly increased (APC=7.935%，P＜0.05). Conclusion From 2010 to 2019, the mortality rate of lymphoma among residents of Wuhan City shows an upward trend, especially for multiple myeloma and non-Hodgkin lymphoma. The disease burden of multiple myeloma shows an increasing trend in the female population, suggesting the need to take corresponding preventive and control measures.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic metabolic liver disorder with complex etiologies. Different clinical phenotypes of MAFLD （such as obesity， hyperlipidemia， type 2 diabetes mellitus， the postmenopausal state， and chronic hepatitis B） have different mechanisms of action in the development and progression of MAFLD， leading to high heterogeneity in its clinical progression and prognosis. This article systematically reviews the pathogeneses and clinical features of the above five clinical phenotypes of MAFLD and elaborates on the corresponding individualized diagnosis and treatment regimens integrating traditional Chinese medicine and Western medicine， in order to provide a reference for clinical practice and improve clinical diagnosis and treatment.

OBJECTIVE To investigate the auditory characteristics of patients with congenital unilateral cochlear nerve deficiency(CND).METHODS This study enrolled 21 patients(21 ears)with unilateral auditory nerve dysplasia confirmed by inner ear MRI,including 9 males and 12 females,aged 10 months to 7 years,(1.91±1.38)years.A retrospective analysis was performed on the correlation between behavioral audiometry and auditory steady-state response(ASSR)thresholds,chirp-evoked auditory brainstem response(chirp-ABR),otoacoustic emission(OAE),and other results to analyze the audiological characteristics of unilateral auditory nerve dysplasia.RESULTS In all 21 patients(21 ears)with auditory nerve dysplasia,behavioral audiometry,chirp-ABR,and ASSR results all indicated severe to profound hearing loss in the affected ears.There was a high correlation between behavioral audiometry thresholds and ASSR thresholds,with small differences observed between ASSR and behavioral audiometry results.CONCLUSION The difference between ASSR and behavioral audiometry is small in patients with CND.A-ABR can't be elicited.OAE has a certain false negative rate.The ABR often predominantly shows wave III,with prolonged latency,and a threshold indicative of profound hearing loss.These audiological characteristics can improve the early detection and diagnosis of CND and enhance the effect of intervention.