The human oral microbiome harbors one of the most diverse microbial communities in the human body, playing critical roles in oral and systemic health. Recent technological innovations are propelling the characterization and manipulation of oral microbiota. High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes. New long-read platforms improve genome assembly from complex samples. Single-cell genomics provides insights into uncultured taxa. Advanced imaging modalities including fluorescence, mass spectrometry, and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution. Fluorescence techniques link phylogenetic identity with localization. Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification. Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches. Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly, gene expression, metabolites, microenvironments, virulence mechanisms, and microbe-host interfaces in the context of health and disease. However, significant knowledge gaps persist regarding community origins, developmental trajectories, homeostasis versus dysbiosis triggers, functional biomarkers, and strategies to deliberately reshape the oral microbiome for therapeutic benefit. The convergence of sequencing, imaging, cultureomics, synthetic systems, and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict, prevent, diagnose, and treat associated oral diseases.
Humans ; Phylogeny ; Biomimetics ; Dysbiosis ; Homeostasis ; Mass Spectrometry

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

Objective:To explore the feasibility and application value of indocyanine green(ICG)lymph node tracer in clinical early stage cervical cancer staging surgery.Methods:A retrospective analysis was performed on 31 patients with early clinical stage(ⅠA1-ⅡA1)cervical cancer who underwent laparoscopic radical hysterectomy,pelvic lymph node resection and para-aortic lymph node sampling were selected as the study subjects in Sichuan Provincial Maternal and Child Health Care Hospital from April 1,2022 to July 31,2023.They were divided into the ICG fluorescence tracer group(ICG group,17 cases)and the conventional surgery group(control group,14 ca-ses)based on whether ICG was injected or not.The resected lymph nodes were classified and submitted for ex-amination according to location and whether they presented visualization.The method of contingency coefficient was used to analyze the correlations between lymph node visualization patterns and lymph node metastasis and clinicopathological characteristics,and the perioperative data of the two groups were compared.Results:①The postoperative stage of 8 patients(25.8％)(4 in each group)were improved compared with the preoperative clini-cal stage.The number of resected lymph nodes in the ICG group was less than that in the control group(18±9 nodes/person vs.26±11 nodes/person,P＜0.05).There were no statistically significant differences in operation time,intraoperative blood loss,postoperative FIGO(2018)staging,lymph node metastasis rate,and positive rate of resected lymph nodes between the two groups(P＞0.05).②The visualization rate in the ICG group was 64.71％(11/17).There was no statistically significant difference in the positive rate between the visualized and non-visualized lymph nodes(P＞0.05).There was a significant correlation between lymph node visualization and lymph node metastasis(C=0.707,P＜0.05),and a significant correlation was found between lymph node visual-ization and lymph node metastasis in the same patient(C=0.557,P＜0.05).Conclusions:The rate of lymph node metastasis in clinical early stage cervical cancer is low.ICG fluorescence visualization can trace lymph nodes and predict the risk of metastasis.By only resecting the visualized lymph nodes under the guidance of ICG tracer,the lymph node metastasis status of early-stage cervical cancer can be fully evaluated,which is worthy of further research.

Objective:To investigate the intention to stay on among primary health care workers (PHWs) during the COVID-19 epidemics and its influencing factors.Methods:An online questionnaire survey was conducted among PHWs from 62 primary health institutions in 31 provinces, autonomous regions and municipalities across China selected by multi-stage whole cluster random sampling method between May and October 2022. According to the job position, the PHWs were divided into 5 categories: general practitioners (GPs), nurses, public health doctors, managers and support staff. Intention to stay was measured using the Chinese version of the Intention to Stay Questionnaire. Multiple linear regression model was used to analyze the influencing factors of the intention to stay in PHWs of different occupational categories, including personal factors, work factors, factors related to the COVID-19 and psychological reactions.Results:A total of 3 769 PHWs from 44 community health service centers, 18 township hospitals of 27 provinces/autonomous regions and 4 municipalities participated in this survey. The mean age of participants was (37.4±9.2) years, including 2 971(78.8%) women. The mean score of intention to stay of participants was 21.7±4.1. Compared with GPs, managers had lower intention to stay ( P=0.004). Age, female, in marriage, monthly income, years of primary care service, self-evaluation of unit support function, MSQ-SF score, and PA score were positively correlated with the score of intention to stay (all P<0.05), while PHQ-9 score, EE score, and DP score were negatively correlated with the score of intention to stay (all P<0.05). The MSQ-SF scores of all occupational categories were positively correlated with the scores of intention to stay (all P<0.01). In addition, among GPs, monthly income, years of service in primary care, self-evaluation of unit support function, and PA scores were positively correlated with the score of intention to stay (all P<0.05), while PHQ-9 scores and EE scores were negatively correlated with the score of intention to stay (all P<0.05). Among nurses, age, female gender, monthly income, self-evaluation of unit support function, and PA score were positively correlated with the score of intention to stay (all P<0.05), while EE scores and retention will score were negatively associated with ( P<0.001). Among public health doctors, in marriage was positively correlated with the score of intention to stay ( P=0.018). Among managers, DP score was negatively correlated with the score of intention to stay ( P=0.001). Among support staff, female gender, monthly income, years of primary care service, self-evaluation of unit support function, and PA scores were positively correlated with the score of intention to stay (all P<0.05), while EE score and DP score were negatively correlated with intention to stay (all P<0.05). Conclusions:The intention to stay of PHWs in China during the COVID-19 was at an intermediate level, which was affected by many factors. Among them, job satisfaction was positively correlated with the intention to stay of all occupational categories, and the influencing factors of different occupational categories have some variations.

convalescents, and to screen for broad-spectrum neutralizing antibodies against the SARS-CoV-2 RBD. Methods Using biotinylated RBD as a molecular probe, flow cytometry was employed to perform single-cell sorting of B cells from peripheral blood mononuclear cells (PBMCs) of convalescents. The obtained B cells were lysed and subjected to reverse transcription, followed by nested PCR amplification of the heavy and light chains of antibodies was conducted using random primers. The amplified products were cloned into corresponding expression vectors, and the respective matched heavy-light chain plasmids were co-transfected into 293F cells for expression. Monoclonal antibodies were then purified using Protein A column chromatography. Neutralization experiments were conducted with the wild-type (WT) pseudovirus, and antibodies with IC50<0.1 μg/mL were selected for further testing of neutralizing breadth and potency against the wild-type (WT), Beta variant (B.1.351), Delta variant (B.1.617.2), and currently prevalent pseudovirus strains (XBB, BA.5, BF.7). Results A total of 21 RBD-specific monoclonal B cells were obtained from two recovered patients, resulting in the isolation of 13 pairs of antibody light/heavy chains. Nine antibodies were successfully expressed, with P1-A1, P1-B6, and P1-B9 exhibiting IC50 values below 0.1 μg/mL against the pseudovirus of the wild-type strain (WT). Specifically, P1-B6 effectively neutralized the wild-type strain (WT), Beta variant (B.1.351), and Delta variant (B.1.617.2), with IC50 values reaching 0.01 μg/mL. P1-B9 demonstrated effective neutralization against the wild-type strain (WT), Beta variant (B.1.351), Delta variant (B.1.617.2), and Gamma variant (P.1) pseudoviruses, with IC50 values of 0.42 μg/mL, 0.63 μg/mL, 0.28 μg/mL, and 2.50 μg/mL, respectively. Additionally, P1-B6 exhibited good neutralization against BA.5 and BF.7 pseudoviruses, with IC50 values of 0.06 μg/mL and 0.09 μg/mL, respectively. Conclusions Infection with the SARS-CoV-2 WT strain can induce the generation of neutralizing antibodies with broad-spectrum activity. Generating these broadly neutralizing antibodies does not require an excessively high somatic hypermutation. The obtained antibodies can be used as candidates for SARS-CoV-2 diagnosis and prevention.

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

Objective:To explore the feasibility and application value of indocyanine green(ICG)lymph node tracer in clinical early stage cervical cancer staging surgery.Methods:A retrospective analysis was performed on 31 patients with early clinical stage(ⅠA1-ⅡA1)cervical cancer who underwent laparoscopic radical hysterectomy,pelvic lymph node resection and para-aortic lymph node sampling were selected as the study subjects in Sichuan Provincial Maternal and Child Health Care Hospital from April 1,2022 to July 31,2023.They were divided into the ICG fluorescence tracer group(ICG group,17 cases)and the conventional surgery group(control group,14 ca-ses)based on whether ICG was injected or not.The resected lymph nodes were classified and submitted for ex-amination according to location and whether they presented visualization.The method of contingency coefficient was used to analyze the correlations between lymph node visualization patterns and lymph node metastasis and clinicopathological characteristics,and the perioperative data of the two groups were compared.Results:①The postoperative stage of 8 patients(25.8％)(4 in each group)were improved compared with the preoperative clini-cal stage.The number of resected lymph nodes in the ICG group was less than that in the control group(18±9 nodes/person vs.26±11 nodes/person,P＜0.05).There were no statistically significant differences in operation time,intraoperative blood loss,postoperative FIGO(2018)staging,lymph node metastasis rate,and positive rate of resected lymph nodes between the two groups(P＞0.05).②The visualization rate in the ICG group was 64.71％(11/17).There was no statistically significant difference in the positive rate between the visualized and non-visualized lymph nodes(P＞0.05).There was a significant correlation between lymph node visualization and lymph node metastasis(C=0.707,P＜0.05),and a significant correlation was found between lymph node visual-ization and lymph node metastasis in the same patient(C=0.557,P＜0.05).Conclusions:The rate of lymph node metastasis in clinical early stage cervical cancer is low.ICG fluorescence visualization can trace lymph nodes and predict the risk of metastasis.By only resecting the visualized lymph nodes under the guidance of ICG tracer,the lymph node metastasis status of early-stage cervical cancer can be fully evaluated,which is worthy of further research.

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

Objective:To explore the feasibility and application value of indocyanine green(ICG)lymph node tracer in clinical early stage cervical cancer staging surgery.Methods:A retrospective analysis was performed on 31 patients with early clinical stage(ⅠA1-ⅡA1)cervical cancer who underwent laparoscopic radical hysterectomy,pelvic lymph node resection and para-aortic lymph node sampling were selected as the study subjects in Sichuan Provincial Maternal and Child Health Care Hospital from April 1,2022 to July 31,2023.They were divided into the ICG fluorescence tracer group(ICG group,17 cases)and the conventional surgery group(control group,14 ca-ses)based on whether ICG was injected or not.The resected lymph nodes were classified and submitted for ex-amination according to location and whether they presented visualization.The method of contingency coefficient was used to analyze the correlations between lymph node visualization patterns and lymph node metastasis and clinicopathological characteristics,and the perioperative data of the two groups were compared.Results:①The postoperative stage of 8 patients(25.8％)(4 in each group)were improved compared with the preoperative clini-cal stage.The number of resected lymph nodes in the ICG group was less than that in the control group(18±9 nodes/person vs.26±11 nodes/person,P＜0.05).There were no statistically significant differences in operation time,intraoperative blood loss,postoperative FIGO(2018)staging,lymph node metastasis rate,and positive rate of resected lymph nodes between the two groups(P＞0.05).②The visualization rate in the ICG group was 64.71％(11/17).There was no statistically significant difference in the positive rate between the visualized and non-visualized lymph nodes(P＞0.05).There was a significant correlation between lymph node visualization and lymph node metastasis(C=0.707,P＜0.05),and a significant correlation was found between lymph node visual-ization and lymph node metastasis in the same patient(C=0.557,P＜0.05).Conclusions:The rate of lymph node metastasis in clinical early stage cervical cancer is low.ICG fluorescence visualization can trace lymph nodes and predict the risk of metastasis.By only resecting the visualized lymph nodes under the guidance of ICG tracer,the lymph node metastasis status of early-stage cervical cancer can be fully evaluated,which is worthy of further research.

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.