Objective: To investigate the inhibitory effect of neoeriocitrin (Neo) on ligature-induced experimental periodontitis in mice and evaluate its biosafety, providing experimental evidence for novel candidate drugs in periodontitis treatment. Methods: This study has been approved by the Animal Welfare and Ethical Safety Committee. A periodontitis model was established in C57BL/6J mice using silk ligation. The mice were divided into control, periodontitis model, and three Neo treatment groups (5, 10, 20 mg/kg Neo). After 2 weeks of intervention, alveolar bone resorption was analyzed by micro-computed tomography (micro-CT); periodontal tissue pathological changes were observed via hematoxylin-eosin (HE) and Masson staining; osteoclasts were counted using tartrate-resistant acid phosphatase staining; serum inflammatory factor levels [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-1β (IL-1β), interleukin-10 (IL-10)] were detected by enzyme-linked immunosorbent assay; gut microbiota changes were analyzed by 16S rRNA sequencing; and biosafety was assessed through HE staining of the heart, liver, spleen, lung, kidney, and colon, as well as zonula occludens-1 (ZO-1) immunohistochemical staining of the colon. Results: Compared with the periodontitis model group, the 10 mg/kg Neo treatment group showed significantly alleviated alveolar bone resorption, manifested as reduced cementoenamel junction to alveolar bone crest distance, increased bone mineral density, bone volume fraction, and trabecular thickness. Additionally, reduced inflammatory cell infiltration, improved collagen fiber arrangement, and a significantly decreased number of osteoclasts were observed in periodontal tissues. Serum levels of pro-inflammatory factors TNF-α and IL-6 were also reduced. Furthermore, 10 mg/kg Neo intervention modulated the gut microbiota structure without causing significant multi-organ toxicity or impairing intestinal barrier function. Conclusion Neo can effectively mitigate the progression of experimental periodontitis by inhibiting alveolar bone resorption, reducing periodontal tissue inflammation, modulating systemic immunity, and improving gut microbiota. With good biosafety, Neo is a promising candidate drug for the treatment of periodontitis.

ObjectiveTo analyze the distribution, drug resistance characteristics, and changing trends of Acinetobacter baumannii (AB) isolated from environmental surfaces and healthcare workers’ hands in a grade Ⅱ level A general hospital in Xuhui District of Shanghai from 2018 to 2023, and to provide reference for infection control in the hospital. MethodsEnvironmental samples were collected quarterly from critical surfaces and healthcare workers’ hands in the intensive care unit (ICU), geriatrics, and respiratory departments from 2018 to 2023. Clinical isolates were obtained from all patients with AB infections in ICU, geriatrics, respiratory department, rehabilitation department, infectious diseases department, emergency department, cardiology department, and orthopedics of the hospital from 2018 to 2023. Retrospective analyses were performed on AB detection rates, strain origins, resistance rates to commonly used antimicrobial agents, and resistance gene features, comparing the antimicrobial resistance between clinically isolated strains and environmentally isolated strains. ResultsFrom 2018 to 2023, a total of 1 416 samples were collected from the hospital and a total of 272 strains of AB were detected, with a positive detection rate of 19.21%. The detection rate gradually decreased year-on-year (χ²_trend=45.290, P<0.001). The majority of samples originated from patient-contacted items (34.56%, 94/272), followed by shared items (26.84%, 73/272) and healthcare worker-contacted items (15.07%, 41/272). From 2018 to 2023, the resistance rate of AB on environmental surfaces and healthcare workers’ hands to commonly tested antibiotics in the hospital ranged from 10% to 40%. The resistance rates to cefotaxime (42.52%) and piperacillin (38.58%) were relative high, while the resistance to polymyxin E (1.57%), polymyxin B (2.36%), and doxycycline (3.94%) maintained low. The annual fluctuations in resistance to cefotaxime, piperacillin, ceftriaxone, tobramycin, doxycycline, minocycline and cotrimoxazole were statistically significant (all P<0.05). There were statistically significant differences in the resistance of clinical and environmental isolates to ampicillin/sulbactam, cefepime, ceftazidime, subamphetamine, meropenem, piperacillin, aztreonam, gentamicin, tobramycin, minocycline, ciprofloxacin, levofloxacin, and cotrimoxazole in the hospital from 2018 to 2023 (all P<0.05). The resistance rate of clinical isolates was generally high, especially to β-lactam and quinolone drugs, which were mostly above 80% [such as cefepime (93.86%), cefotaxime (97.37%), imipenem (98.25%), and ciprofloxacin (99.12%)]. The resistance rate of environmental isolated strains to similar antibiotics was relatively lower, mostly concentrated at 10%‒30%. The whole-genome sequencing of 34 carbapenem-resistant Acinetobacter baumannii (CRAB) strains isolated from the hospital environment in 2023 revealed that the main resistance mechanism was overexpression of efflux pumps (51.97%), followed by changes in target sites (32.46%). Among the 34 CRAB strains, carbapenem resistance genes OXA-23 and OXA-51 were detected in 6 strains (17.65%), while genes such as KPC, IMP, VIM, and SIM were not detected. ConclusionFrom 2018 to 2023, AB in the hospital environment exhibited high resistance rates to certain antimicrobial agents and carried multiple resistance genes, indicating a potential transmission risk. It is necessary to further strengthen bacterial resistance monitoring and hospital infection control, and use antibiotics reasonably.

To summarize Professor WANG Xixing's clinical experience in treating advanced breast cancer with anxiety and depression from the perspective of shaoyang pivot. It is believed that the core pathogenesis of advanced breast cancer with anxiety and depression lies in the dysfunction of shaoyang pivot （referring to the imbalanced regulatory function of the shaoyang meridian system that governs the transportation and transformation of qi， blood， and body fluids）. This dysfunction can lead to abnormal circulation of qi， blood， and body fluids， as well as the intermingling of phlegm and blood stasis， which further promotes the spread and diffusion of cancer toxin. Meanwhile， it disturbs mental activity， resulting in a condition characterized by stagnation of cancer toxin and concurrent disorders of both the physical body and the spirit. Based on this pathogenesis， the basic therapeutic principles of harmonizing shaoyang， regulating the pivot to calm the spirit， and dissipating masses and resolving toxins are proposed. Clinically， the disease is classified into three syndromes for differentiation and treatment. For shaoyang pivot dysfunction syndrome， treatment should use self-prescribed Chaiqin Hengshu Ningxin Decoction （柴芩衡枢宁神汤）； for sanjiao pivot dysfunction syndrome， treatment should prescribe Chaigui Tongshu Dashen Decoction （柴归通枢达神饮）； for gallbladder function disorder syndrome， treatment should apply Wendan Qishu Shoushen Decoction （温胆启枢守神汤）. Throughout the treatment process， the concept of "simultaneous treatment of cancer and depression" is implemented to smooth the shaoyang pivot， block the vicious cycle where cancer toxin and emotional abnormalities mutually reinforce each other.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.

Background: t(11;14) is considered a standard risk factor in multiple myeloma (MM). However, recent studies suggested that its impact in the context of novel agents remained controversial. Methods: This retrospective analysis examined the clinical profiles of 375 newly diagnosed patients with MM and compared the outcomes between those with t(11;14) and those with normal cytogenetics. Results: The median progression-free survival (PFS) of the 84 patients with t(11;14) was 36 months (95% confidence interval (CI), 23.5–48.5), which was significantly shorter than the median PFS of 65 months (95% CI, 23.0–107.0) for the 59 patients with normal cytogenetics (p = 0.011). Median overall survival (OS) was not reached in either group (p = 0.977). When combined with 1q21 + , t(11;14) showed a trend toward poorer PFS (median PFS: 36 vs. 65 months;p = 0.130). In the presence of high-risk cytogenetics (HRCAs), t(11;14) was associated with a worse PFS (median PFS: 9 vs. 38 months, p = 0.015) and a trend toward shorter OS (median OS: 33 vs. 49 months, p = 0.096). Multivariate analysis indicated that t(11;14) was a poor prognostic factor for PFS. 1q21 + was a detrimental prognostic factor, particularly in the t(11;14) group. Autologous stem cell transplantation (ASCT) may be a beneficial treatment option for patients with t(11;14). Conclusion In this study, patients with MM with t(11;14) demonstrated poorer PFS than those with normal cytogenetics. Further investigations are required to evaluate the impact of t(11;14) in patients newly diagnosed with MM in the era of novel agents.

Gastric cancer is one of the major diseases threatening human health, with a high incidence and a low early diagnostic rate. There are many bottlenecks encountered during its treatment. Consequently, improving the early diagnostic rate and exploring new therapeutic targets are currently urgent challenges that need to be addressed. Telomerase is undetectable in normal tissues, but it exhibits high specificity and sensitivity in most cancers and has a definite correlation with prognosis. It may serve as a serum tumor marker and prognostic indicator. Human telomerase reverse transcriptase (hTERT) gene polymorphism can regulate the susceptibility of people to gastric cancer, and affect the occurrence, development, proliferation and apoptosis of gastric cancer through its target gene. Substances such as resistin, visfatin, G-quadruplex and methylenedioxyaniline can affect the occurrence and development of gastric cancer by regulating telomerase expression. The mechanism by which hTERT regulates tumor invasion and metastasis is currently unclear, so elucidating its mechanism is of great significance.This paper will review the research progress of this mechanism in recent years.

Objective:To discuss the effect of microRNA(miR)-30c-5p on the proliferation,migration,and invasion of the human prostate cancer cells(LNCap),and to clarify its possible mechanism.Methods:The LNCap cells were divided into LNCap group(without plasmid transfection),miR-30c-5p mimic group(transfected with miR-30c-5p mimic),mimic NC group(transfected with miR-30c-5p mimic NC),sh-DNA damage inducible transcript 4(DDIT4)group(transfected with sh-DDIT4),sh-NC group(transfected with sh-DDIT4 NC),miR-30c-5p mimic+pc-DNA3.1-NC group(co-transfected with miR-30c-5p mimic and pc-DNA3.1 empty vector),and miR-30c-5p mimic+pc-DNA3.1-DDIT4 group(co-transfected with miR-30c-5p mimic and pc-DNA3.1-DDIT4 over-expression plasmid).The RWPE-1 cells were cultured normally.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of miR-30c-5p and DDIT4 mRNA in the cells in various groups;Western blotting method was used to detect the expression levels of DDIT4 protein in the cells in various groups;CCK-8 method was used to detect the proliferation rates of the LNCap cells in various groups;Transwell assay was used to detect the numbers of the invasion LNCap cells in various groups;Scratch assay was used to detect the scratch healing rates of LNCap cells in various groups;dual-luciferase reporter assay was used to detect the targeting relationship between miR-30c-5p and DDIT4.In the in vivo tumor formation experiment,18 male BALB/c nude mice were divided randomly into blank group,agomiR-NC group(transfected with agomiR-30c-5p NC),and agomiR-30c-5p group(transfected with agomiR-30c-5p);there were six mice in each group.The mice in agomiR-NC group and agomiR-30c-5p group were subcutaneously injected with LNCap cells,while the mice in blank group were given an equal volume of physiological saline.The volumes of tumor of the mice in various groups were detected.HE staining was used to observe the morphology of prostate cancer tissue the mice of in various groups;RT-qPCR method and immunofluorescence staining were used to detect the expression levels of miR-30c-5p and DDIT4 mRNA and the fluorescence intensities of DDIT4 protein in prostate cancer tissue of the mice in various groups.Results:The In vitro prostate cancer cell experiment results showed that compared with RWPE-1 cells,the expression level of miR-30c-5p in the prostate cancer LNCap cells was decreased(P<0.01),and the expression levels of DDIT4 mRNA and protein were increased(P<0.05 or P<0.01).After 48 of transfection,compared with LNCap group and mimic NC group,the expression level of miR-30c-5p in the LNCap cells in miR-30c-5p mimic group was increased(P<0.01).Compared with LNCap group and sh-NC group,the expression level of DDIT4 mRNA in the LNCap cells in sh-DDIT4 group was decreased(P<0.01).Compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the expression level of miR-30c-5p in The LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was decreased(P<0.01);compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the expression level of DDIT4 mRNA in the LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was increased(P<0.01);compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the expression level of DDIT4 protein in the LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was increased(P<0.05).The CCK-8 method results showed that compared with LNCap group and mimic NC group,the proliferation rate of the LNCap cells in miR-30c-5p mimic group was decreased(P<0.01);compared with LNCap group and sh-NC group,the proliferation rate of the LNCap cells in sh-DDIT4 group was decreased(P<0.01);compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the proliferation rate of the LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was increased(P<0.01).The Transwell assay results showed that compared with LNCap group and mimic NC group,the number of the invasion LNCap cells in miR-30c-5p mimic group was decreased(P<0.01);compared with LNCap group and sh-NC group,the number of invasion LNCap cells in sh-DDIT4 group was decreased(P<0.01);compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the number of the invasion LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was increased(P<0.01).The scratch assay results showed that compared with LNCap group and mimic NC group,the scratch healing rate of the LNCap cells in miR-30c-5p mimic group was decreased(P<0.01);compared with LNCap group and sh-NC group,the scratch healing rate of the LNCap cells in sh-DDIT4 group was decreased(P<0.01);compared with miR-30c-5p mimic group and miR-30c-5p mimic+pcDNA3.1 NC group,the scratch healing rate of the LNCap cells in miR-30c-5p mimic+pc-DNA3.1-DDIT4 group was increased(P<0.01).The dual-luciferase reporter assay results showed that compared with the LNCap cells co-transfected with WT-DDIT4 and mimic NC,the luciferase activity of the LNCap cells co-transfected with WT-DDIT4 and miR-30c-5p mimic was decreased(P<0.01).The in vivo nude mouse tumor formation experiment results showed that on the 3 rd,6 th,9 th,12 th,and 15th days after cell injection,compared with blank group and agomiR-NC group,the tumor volumes of the nude mice in agomiR-30c-5p group were decreased(P<0.05).The HE staining results showed that in prostate cancer tissue of the mice in blank group and agomiR-NC group,the cell nuclei were enlarged,and nucleoli were prominent and deformed.In the mice in agomiR-30c-5p group,some regions of prostate cancer tissues results showed neatly arranged cells with normally shaped nuclei.The RT-qPCR and immunofluorescence staining showed that compared with agomiR-NC group,the expression level of miR-30c-5p in prostate cancer tissue of the mice in agomiR-30c-5p group was increased(P<0.01).Compared with blank group and agomiR-NC group,the expression level of DDIT4 mRNA in prostate cancer tissue of the mice in agomiR-30c-5p group was decreased(P<0.01).DDIT4 protein was mainly expressed in the cytoplasm.Compared with blank group and agomiR-NC group,the fluorescence intensity of DDIT4 protein in prostate cancer tissue of the mice in agomiR-30c-5p group was decreased(P<0.01).Conclusion:The expression level of miR-30c-5p in the prostate cancer LNCap cells is decreased,and it inhibits the proliferation,migration,and invasion of the prostate cancer cells by targeting downregulation of DDIT4,thereby participating in the occurrence and development of prostate cancer.