ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Based on the concept of "regulating the five zang organs and harmonizing the spleen and stomach"， globus hystericus is believed to originate from dysfunction of the five zang organs and disharmony of the spleen and stomach. Treatment primarily focuses on regulating the spleen and stomach while also considering other affected organs， with a self-prescribed Anpiwei Jingyan Formula （安脾胃经验方） for harmonizing the spleen and stomach as the foundational treatment. Additionally， syndrome-based modifications are applied according to imbalances in the heart， lung， kidney， or liver. For heart-yang deficiency， modified Linggui Zhugan Decoction （苓桂术甘汤） could be combined； for heart-yin deficiency， modified Tianwang Buxin Pill （天王补心丹） could be combined. For lung failing to disperse and descend and fluid retention， modified Sanao Decoction （三拗汤） could be combined； for lung and stomach yin deficiency， modified Shashen Maidong Decoction （沙参麦冬汤） could be combined. For kidney-yang deficiency with ascending counterflow of cold water， modified Jingui Shensi Pill （金匮肾气丸） could be combined； for kidney-yin deficiency， modified Liuwei Dihuang Pill （六味地黄丸） could be combined. For liver constraint and spleen deficiency， modified Sini Powder （四逆散） could be combined； for liver-yin deficiency or liver stagnation transforming into fire and attacking the stomach， modified Yiguan Decoction （一贯煎） could be combined.

BACKGROUND:Osteoblasts are the main cell types responsible for bone formation and remodeling,and the normal performance of their function is precisely regulated by various signaling pathways.Among them,the bone morphogenetic protein and Wnt signaling pathways play a key role in osteogenesis. OBJECTIVE:To review the role of bone morphogenetic protein/Wnt signaling pathway in the regulation of osteoblast function and analyze its changes in different physiological and pathological conditions in order to further reveal the molecular mechanism of bone formation and remodeling. METHODS:The Chinese and English search terms"BMP signaling pathway,Wnt signaling pathway,and osteogenesis"were searched in CNKI,Wanfang,and PubMed databases for original researches published from the inception to June 2023.Totally 61 articles were finally selected for analysis and summary.Using the method of the literature review,the studies of the bone morphogenetic protein/Wnt signaling pathway in regulating osteogenesis were sorted out and analyzed. RESULTS AND CONCLUSION:(1)Bone morphogenetic protein and Wnt signaling pathways play important roles in the differentiation,proliferation,and maturation of osteoblasts.Bone morphogenetic protein signaling pathway mainly regulates the expression of osteogenesis-related genes through the activation of Smad protein.Smad protein enters the nucleus and regulates the expression of genes related to osteogenesis.Different Wnt signaling pathway from bone morphogenetic protein mainly depends on the activation of β-catenin to exert its biological effects.(2)The regulatory effect of bone morphogenetic protein/Wnt signaling pathway will be affected by many factors in different physiological and pathological states.Growth factors,hormones,and mechanical stress can affect the activity of bone morphogenetic protein/Wnt signaling pathway to some extent.(3)Bone morphogenetic protein/Wnt signaling pathway interacts with other signaling pathways in the regulation of osteogenesis,and they together constitute a complex regulatory network.(4)Chinese medicine and natural compounds can promote bone health by regulating signaling pathways,providing new possibilities for treating bone diseases.(5)Future studies can further explore the interaction of bone morphogenetic protein/Wnt signaling pathway and other signaling pathways and its changes in different physiological and pathological conditions,resolve the key nodes and regulation mechanism in the complex network,to provide more precise targets for the treatment of bone-related diseases,and also provide new ideas to reveal the molecular mechanism of bone formation and remodeling.

Patients with myeloproliferative neoplasms(MPNs)are at risk of developing solid tumors.Although the connection between MPN and solid tumors has been widely discussed,the cause remains to be explored.Some studies show that the MPN is considered to trigger a second cancer,but others suggest both diseases seem to share the same origin.In recent years,more and more studies have found that genetic susceptibility,drugs,chronic inflammation,immune function abnormalities and clonal hematopoiesis of indeterminate potential are related to the development of second cancers.In this review,we try to summarize the new advances of biological characteristics and pathogenesis of second cancers in MPNs.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Purpose To investigate the clinical pathological features and treatment strategies of adult pineoblasto-ma(PB).Methods The clinical data of 11 cases of adult PB were retrospectively analyzed.Their imaging,histologi-cal morphology,and immunohistochemical characteristics were evaluated,and the relevant literature was reviewed.Re-sults Among the 11 PB cases,5 cases were female and 6 were male,aged 18-63 years with a median age of 39 years.Microscopically,the tumors were composed of dense small to medium-sized cells,showing a diffuse and sheet-like distribution.Rosette-like structures could be seen in some cases.The tumor cell nuclei were round or irregular with a high nuclear-cytoplasmic ratio.The mitotic figures and apoptosis were extremely common to see,and necrosis was observed in some cases.The tumor cells were uniformly positive for CD56(11/11),Syn(11/11),and CgA(11/11),with retained expression of INI-1(11/11).Some cases were positive for CD99(3/11)and S-100(1/11),while negative for BCOR,CKpan,GFAP,PLAP,CD3,and CD20.The Ki67 proliferation index ranged from 20％to 80％.Five patients were followed up for 2 to 39 months:1 patient developed spinal metastasis 26 months after postop-erative chemotherapy;1 patient had spinal metastasis 4 months after postoperative radiotherapy and temozolomide treat-ment;and 3 patients died.Conclusion PB is a rare,highly malignant tumor in the pineal gland region,even rarer in adults.Its morphology is similar to that of childhood PB,and its prognosis is slightly better than that in children.

Objective:To study the correlation between iodine level in drinking water and conventional water quality indicators.Methods:From June 2017 to July 2018, a simple random sampling method was used to select administrative villages (communities) from 88 counties (cities, districts) in Guizhou Province with a sampling size greater than 5%. One drinking water sample was collected from each administrative village (community), and conventional water quality indicators (including fluorine, aluminum, mercury, selenium, sulfate, total dissolved solids and total hardness) were tested in accordance with the methods outlined in the "Standards for Drinking Water Quality" (GB 5749-2006). The cerium sulfate catalytic spectrophotometric method was employed to test drinking water iodine level. Spearman method was utilized to analyze the correlation between iodine level in drinking water and conventional water quality indicators.Results:A total of 904 drinking water samples were tested, with a median iodine level of 1.90 μg/L and a range of 0.10 - 36.70 μg/L. There were 899 administrative villages (communities) with a water iodine level of less than 10 μg/L, accounting for 99.45%. There were only 5 administrative villages (communities) with a water iodine level of greater than 10 μg/L, accounting for 0.55%. Correlation analysis revealed that in Guizhou Province, the iodine level in drinking water was positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness [correlation coefficients ( r) = 0.11, 0.07, 0.07, 0.08, 0.07, P < 0.05], and was a negatively correlated with mercury and selenium levels ( r = - 0.12, - 0.12, P < 0.001). Conclusions:External environment in Guizhou Province is generally deficient in iodine. The iodine level in drinking water is positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness, and negatively correlated with the levels of mercury and selenium.