BACKGROUND:Studies have found that probiotics have a certain preventive and therapeutic effect on peri-implantitis,and there are further explorations in the mechanism against peri-implantitis.OBJECTIVE:To review the mechanism and clinical application of probiotics in the treatment of peri-implantitis.METHODS:Relevant literature was searched on PubMed,Web of Science,CNKI,and WanFang Data,using the search terms of"probiotics,peri-implantitis,flora imbalance,immunoregulation,inflammatory reaction,mechanism of action"in Chinese and English.A total of 90 articles were finally included.RESULTS AND CONCLUSION:Probiotics have the following mechanisms.They can activate the anti-inflammatory mechanism by inhibiting the secretion of inflammatory factors and promoting the production of anti-inflammatory factors.They can destroy the cell wall of pathogenic bacteria by secreting microbial complexes and bacteriocins,reduce the pH value of biofilms,improve the composition of microorganisms in microecology,induce the change of bacterial community structure,and restore the balance of microbial population around implants.They have immunomodulatory effects and can enhance the resistance of the host oral mucosa to pathogenic bacteria in the surrounding area of the implant.In addition,probiotics can produce antibacterial compounds,offset the adhesion of pathogenic microorganisms,and regulate immune function.Through the above mechanisms,probiotics have certain potential in the adjuvant treatment of peri-implantitis,which can improve the clinical parameters of peri-implantitis and affect the microbiota.Probiotic therapy provides a new treatment option,but more long-term prospective studies are needed to further verify its effect.

BACKGROUND:Studies have found that probiotics have a certain preventive and therapeutic effect on peri-implantitis,and there are further explorations in the mechanism against peri-implantitis.OBJECTIVE:To review the mechanism and clinical application of probiotics in the treatment of peri-implantitis.METHODS:Relevant literature was searched on PubMed,Web of Science,CNKI,and WanFang Data,using the search terms of"probiotics,peri-implantitis,flora imbalance,immunoregulation,inflammatory reaction,mechanism of action"in Chinese and English.A total of 90 articles were finally included.RESULTS AND CONCLUSION:Probiotics have the following mechanisms.They can activate the anti-inflammatory mechanism by inhibiting the secretion of inflammatory factors and promoting the production of anti-inflammatory factors.They can destroy the cell wall of pathogenic bacteria by secreting microbial complexes and bacteriocins,reduce the pH value of biofilms,improve the composition of microorganisms in microecology,induce the change of bacterial community structure,and restore the balance of microbial population around implants.They have immunomodulatory effects and can enhance the resistance of the host oral mucosa to pathogenic bacteria in the surrounding area of the implant.In addition,probiotics can produce antibacterial compounds,offset the adhesion of pathogenic microorganisms,and regulate immune function.Through the above mechanisms,probiotics have certain potential in the adjuvant treatment of peri-implantitis,which can improve the clinical parameters of peri-implantitis and affect the microbiota.Probiotic therapy provides a new treatment option,but more long-term prospective studies are needed to further verify its effect.

Objective: To investigate the objective characteristics of tongue manifestation in different stages of damp-heat syndrome in diabetic kidney disease (DKD). Methods: A cross-sectional study enrolled 134 patients with DKD G3-5 stages who met the diagnostic criteria for damp-heat syndrome in DKD. The patients were treated at Dongzhimen Hospital, Beijing University of Chinese Medicine, from May 2023 to January 2024. The patients were divided into three groups: DKD G3, DKD G4, and DKD G5 stage, with 53, 33, and 48 patients in each group, respectively. Clinical general data (gender, age, and body mass index) and damp-heat syndrome scores were collected from the patients. The YZAI-02 traditional Chinese medicine (TCM) AI Tongue Image Acquisition Device was used to capture tongue images from these patients. The accompanying AI Open Platform for TCM Tongue Diagnosis of the device was used to analyze and extract tongue manifestation features, including objective data on tongue color, tongue quality, coating color, and coating texture. Clinical data and objective tongue manifestation characteristics were compared among patients with DKD G3-5 based on their DKD damp-heat syndrome status. Results: No statistically significant difference in gender or body mass index was observed among the three patient groups. The DKD G3 stage group had the highest age (P<0.05). The DKD G3 stage group had a lower score for symptoms of poor appetite and anorexia(P<0.05) than the DKD G5 group. No statistically significant difference was observed in damp-heat syndrome scores among the three groups. Compared with the DKD G5 stage group, the DKD G3 stage group showed a decreased proportion of pale color at the tip and edges of the tongue (P<0.05). The DKD G4 stage group exhibited an increased proportion of crimson at the root of the tongue, a decreased proportion of thick white tongue coating at the root, a decreased proportion of pale color at the tip and edges of the tongue, an increased hue value (indicating color tone) of the tongue color in the middle, an increased brightness value (indicating color lightness) of the tongue coating color in the middle, and an increased thickness of the tongue coating (P<0.05). No statistically significant difference was observed in other tongue color proportions, color chroma values, body characteristics, coating color proportions, coating color chroma values, and coating texture characteristics among the three groups. Conclusion Tongue features differ in different stages of DKD damp-heat syndrome in multiple dimensions, enabling the inference that during the DKD G5 stage, the degree of qi and blood deficiency in the kidneys, heart, lungs, liver, gallbladder, spleen, and stomach is prominent. Dampness is more likely to accumulate in the lower jiao, particularly in the kidneys, whereas heat evil in the spleen and stomach is the most severe. These insights provide novel ideas for the clinical treatment of DKD.

Objective:Using resting-state functional magnetic resonance imaging (rs-fMRI), we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ) and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.Methods:Clinical data of 50 patients with schizophrenia (schizophrenia group), 29 males and 21 females, aged 18-47 (28.3±7.2) years, who attended the psychiatric department of the Second Affiliated Hospital of Xinxiang Medical College from January 2022 to August 2023, were retrospectively included. In the same period, 50 healthy controls matched for age and education (healthy control group) were recruited, of which 24 were male and 26 were female, aged 18-48 (28.0±6.9) years. The rs-fMRI imaging data were acquired for each subject. The dFNC cluster analysis was performed based on independent component analysis, and the differences between groups with different state FNC matrices were statistically analyzed. The dataset samples were divided into a training set (35 SZ patients and 35 healthy controls) and a validation set (15 SZ patients and 15 healthy controls) in a 7∶3 ratio. A machine learning classification model was constructed based on the dFNC matri. The performance of the model for distinguishing between schizophrenia and healthy controls was assessed by five-fold cross-validation using accuracy (ACC), recall (REC), F1 score, and area under curve (AUC) metrics of the working characteristics of the subjects.Results:Five network functional connectivity states were obtained by dFNC cluster analysis. Patients with first SZ showed a wide range of high connectivity and low connectivity changes on the neural dynamic functional networks, as shown by increased dynamic connectivity within the visual network (VIS) in state 1 (weak connectivity); The dynamic connectivity between executive control network (ECN) and VIS, frontal parietal network (FPN) and VIS decreases at state 3 (strong connectivity); The dynamic connectivity between default mode network (DMN) and FPN, DMN and ventral attention network (VAN) decreases at state 4 (weak connectivity). The machine learning results show that the classification model constructed by the dFNC matrix combined with SVM in state 3 (strongly connected) in the validation set obtains the best classification results (ACC=0.938; REC=0.938; F1=0.937; AUC=0.984), and the overall average classification ACC of the five states reaches 0.751, and AUC reaches 0.784.Conclusion:Patients with first-episode SZ have some brain functional network connectivity abnormalities, and a machine learning model based on dFNC features has high classification performance in distinguishing first-episode SZ from HC.

Objective To explore the correlation between traditional Chinese medicine(TCM)syndromes of chronic gastritis and the indicators of five circuits and six qi,revealing the influence of different congenital qi endowments on TCM syndrome differentiation and providing evidence for individualized treatment.Methods Medical records meeting inclusion/exclusion criteria were collected from the Hospital Information System(HIS)of Rui Bao Street Community Health Service Center in Haizhu District,Guangzhou between January 20,2017 and January 20,2023.Data included age,birth date,and syndrome differentiation.Yearly circuit(Suiyun),celestial control-terrestrial effect(Sitian-Zaiqian)qi,three patterns of five circuits(Wuyun-Sanji),and syndrome patterns were statistically analyzed using Excel for database construction,with SPSS 23.0 for x2 tests and Logistic regression.Results(1)Among 1 882 chronic gastritis patients,spleen-stomach weakness(25.3％,477/1 882)was the most prevalent syndrome,followed by liver-stomach disharmony type,damp-heat in the spleen-stomach type,stomach-yin deficiency type,and stasis obstruction of stomach collateral type(x2=69.950,P=0.000).(2)Significant differences existed in Suiyun(Taijiao,Taigong,Taiyu,Taizhi,Shaogong,Taishang),Sitian-Zaiqian(Shaoyin-Yangming,Taiyin-Taiyang,Yangming-Shaoyin,Taiyang-Taiyin),and Wuyun-Sanji(excessive/insufficient earth/metal/water circuit)distributions among syndromes(P＜0.05 or P＜0.01).(3)For Suiyun-syndrome relationships:Birth in Taijiao/Shaogong years was the high-risk factor for developing chronic gastritis of liver-stomach disharmony type(P＜0.01);Taishang years were associated with stomach yin deficiency type(P＜0.05);Taijiao/Shaogong/Taiyu years were protective against damp-heat in the spleen-stomach type(P＜0.05 or P＜0.01).(4)For Sitian-Zaiqian-syndrome relationships:Jueyin-Shaoyang/Yangming-Shaoyin years linked to spleen-stomach weakness type(P＜0.05);Shaoyang-Jueyin years were correlated with damp-heat in the spleen-stomach type(P＜0.05).(5)For Wuyun-Sanji-syndrome relationships:Insufficient earth/water circuit years were associated with liver-stomach disharmony type(P＜0.05 or P＜0.01);excessive/balanced metal circuit years linked to stomach yin deficiency type(P＜0.05 or P＜0.01);insufficient metal circuit years were correlated with damp-heat in the spleen-stomach type(P＜0.05).Conclusion TCM syndromes of chronic gastritis are influenced by environment-body interactions,disordered visceral function and yin-yang imbalance.Clinical treatment should integrate the varied indicators of five circuits and six qi variations for personalized regimens to improve symptoms and quality of life.

Objective:Using resting-state functional magnetic resonance imaging (rs-fMRI), we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ) and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.Methods:Clinical data of 50 patients with schizophrenia (schizophrenia group), 29 males and 21 females, aged 18-47 (28.3±7.2) years, who attended the psychiatric department of the Second Affiliated Hospital of Xinxiang Medical College from January 2022 to August 2023, were retrospectively included. In the same period, 50 healthy controls matched for age and education (healthy control group) were recruited, of which 24 were male and 26 were female, aged 18-48 (28.0±6.9) years. The rs-fMRI imaging data were acquired for each subject. The dFNC cluster analysis was performed based on independent component analysis, and the differences between groups with different state FNC matrices were statistically analyzed. The dataset samples were divided into a training set (35 SZ patients and 35 healthy controls) and a validation set (15 SZ patients and 15 healthy controls) in a 7∶3 ratio. A machine learning classification model was constructed based on the dFNC matri. The performance of the model for distinguishing between schizophrenia and healthy controls was assessed by five-fold cross-validation using accuracy (ACC), recall (REC), F1 score, and area under curve (AUC) metrics of the working characteristics of the subjects.Results:Five network functional connectivity states were obtained by dFNC cluster analysis. Patients with first SZ showed a wide range of high connectivity and low connectivity changes on the neural dynamic functional networks, as shown by increased dynamic connectivity within the visual network (VIS) in state 1 (weak connectivity); The dynamic connectivity between executive control network (ECN) and VIS, frontal parietal network (FPN) and VIS decreases at state 3 (strong connectivity); The dynamic connectivity between default mode network (DMN) and FPN, DMN and ventral attention network (VAN) decreases at state 4 (weak connectivity). The machine learning results show that the classification model constructed by the dFNC matrix combined with SVM in state 3 (strongly connected) in the validation set obtains the best classification results (ACC=0.938; REC=0.938; F1=0.937; AUC=0.984), and the overall average classification ACC of the five states reaches 0.751, and AUC reaches 0.784.Conclusion:Patients with first-episode SZ have some brain functional network connectivity abnormalities, and a machine learning model based on dFNC features has high classification performance in distinguishing first-episode SZ from HC.

Objective:To compare the dose and image quality of selected photon shield (SPS) technique, organ-based tube current modulation (OBTCM) technique and the combination of these two techniques for reducing the organ dose in head CT examination for infants.Methods:Two anthropomorphic head phantoms (CIRS 1-yr-old and 5-yr-old) were scanned by using Reference mode, Reference + OBTCM mode, SPS mode and SPS + OBTCM mode, respectively. Radiation doses to the lens of the eye, the anterior of the brain, the posterior of the brain, noise level and CNR of orbit and brain in different phantoms were measured and compared by using different scanning modes.Results:Compared with Reference mode, the doses to the lens of the eye in 1-yr-old and 5-yr-old phantom decreased by (21.89 ± 0.01)% and (28.33 ± 0.34)%, respectively. In SPS mode, the reduction in doses to the lens of the eye in 1-yr-old and 5-yr-old phantom were (71.38 ± 1.30)% and (53.72 ± 2.42)%, respectively. In SPS + OBTCM mode, the reduction was (71.12 ± 2.54)% and (55.73 ± 1.90)%, respectively. There was significant difference in the noise level of orbit and brain in different phantoms under various scanning modes ( F=5.67-85.47, P< 0.05). The noise level in OBTCM mode compared with reference mode increased slightly (<1.45 HU) in various phantoms. SPS and SPS + OBTCM mode resulted in a small noise increase (<2.58 HU). There was no significant difference in CNR of different phantoms under various scanning modes ( P>0.05). Conclusions:SPS and SPS + OBTCM mode can significantly reduce the radiation dose of lens and the whole image plane in the head CT scan for infants, with maintaining the image quality.

Objective: To investigate the diagnostic value of whole liver CT perfusion imaging in the quantitative evaluation of hemodynamic changes before and after transcatheter arterial chemoembolization (TACE). Methods: Twenty-six patients with hepatocellular carcinoma underwent TACE therapies were recruited. Whole -liver computed tomographic perfusion imaging (CTPI) was performed 2~3 days before TACE and 1 month after TACE. We measured the following perfusion parameters: hepatic arterial perfusion (HAP), portal venous perfusion (PVP), total liver perfusion (TLP), hepatic arterial perfusion index (HAPI), and time-to-peak (TTP).The F-test, t-test and Rank sum test were used for statistical analysis. Results: A total of 34 HCC lesions were detected. According to the deposition of lipiodol after TACE, they were divided into a lipiodol dense group (21) and a lipiodol light group (13). The length of hepatocellular carcinoma lesions after TACE showed a decreasing trend compared with preoperative TACE. The lesions in the lipiodol dense group had smaller lesions than those in the lipiodol light group. The preoperative and postoperative longitudinal diameters were (3.12 ± 0.58) cm vs. (1.93 ± 0.79) cm, (2.98 ± 2.01) cm vs. (2.58 ± 2.00) cm, the differences were statistically significant (t = 15.1, 8.65, P < 0.05). The preoperative HAP and HPI of the lipiodol dense group were the highest, and the peritumoral within 1cm was higher than that of the surrounding liver parenchyma. The PVP, TLP, and TTP were highest in the surrounding of liver parenchyma, and 1 cm higher than the tumor area in the background. The corresponding perfusion parameters were statistically significant (P < 0.05); HAP and HPI were 1 cm higher than the surrounding liver parenchyma. After the operation, PVP, TLP and TTP were lower than the background liver parenchyma, the difference was statistically significant (P < 0.05); HAP and HPI decreased by 1 cm after the operation, and the PVP, TLP, and TTP increased. There was no significant difference after operation in the blood perfusion of background liver parenchyma (P ˃ 0.05). The HAP and HPI decreased, and the PVP and TTP increased in the lipiodol light group after operation (P < 0.05). There was no significant difference between the other two regions (P ˃ 0.05). Conclusion There was no blood perfusion in the lipiodol deposition area after TACE. The perfusion volume of hepatic artery in the peritumoral 1 cm and lipiodol light group decreased and the portal venous perfusion increased. CTPI can quantitatively evaluate blood perfusion state, which is of great significance for the determination of treatment plans before TACE treatment to assume the postoperative therapeutic effect in liver cancer.

Objective To evaluate the value of MRS in quantitative assessment of degeneration of lumbar discs.Methods Totally 82 patients with lumbago underwent lumbar MR scanning.All the discs were classified with Pfirrmann grades in the sequences of sagittal T2WI.The area under N-acetyl peak,under water peak and the ratio of N-acetyl/Water were measured by MRS.Correlation between MRS values and Pfirrmann grade,age were analyzed.Results In 82 patients,204 lumbar discs were measured by MRS.There were 89,73,39,3 discs in Pfirrmann Ⅱ,Ⅲ,Ⅳ,V respectively.The areas of N-acetyl,water peak and N-acetyl/Water ratio of nucleus region were positively correlated with Pfirrmann grading,respectively (rs =-0.460,-0.204,-0.526,all P＜0.05).There were 62,25,37,51,29 discs in patients aged ＜30,30-39,40-49,50-59,＞59 years respectively.The ares of N-acetyl peak,N-acetyl/Water ratio of nucleus region was negatively correlated with the age (rs=-0.247,-0.385,both P＜0.05).Conclusion MRS can be used for quantitative assessment of lumbar discs degeneration.

Objective To investigate concentration of plasma neutrophil gelatinase -associated lipocalin ( NGAL) and its clinical significance in ICU populations with sepsis.Methods Fourteen ICU patients diagnosed with sepsis and twenty-four patients with non-sepsis were enrolled in the study,and seventeen healthy adults were selected as healthy control.Blood samples were drawn from patients to measure NGAL, and Acute Physiology and Chronic Health Evaluation ( APACHE ) II and Sequential Organ Failure Assessment ( SOFA ) were performed, the outcome was recorded.Plasma NGAL concentration was measured by enzyme -linked immunosorbent assay ( ELISA) .Results On admission to ICU, the pNGAL concentrations of septic and non -septic patients were (131.4 ±116.4)ng/mL and (48.7 ±30.8)ng/mL respectively,which of healthy control was (39.07 ±12.74)ng/mL.The pNGAL was significantly higher in sepsis than non-sepsis and healthy control ( t=-3.280,3.313,P=0.003,0.021 respectively).Otherwise,no differences of white blood cell (WBC) count [(12.6 ±5.7) ×109/L vs (15.6 ±5.8) ×109/L] and SOFA scores [(7.7 ±3.3)points vs (8.6 ±3.4)points] were found in septic and non-septic patients (t=-1.554,-0.802,P=0.129,0.428).On the admission to ICU,areas under the receiver oper-ating characteristic curves ( ROC curves) of NGAL and WBC for predicting sepsis were 0.740 [95%confident inter-val(CI) 0.566,0.913,P =0.015] and 0.345 ( 95%CI 0.158,0.533,P =0.116) respectively.If pNGAL of 99.4ng/mL as the threshold for predicting sepsis, the sensitivity and the specificity was 50.0% and 85.2%. Conclusion The concentrations of NGAL in septic patients significantly increased compared with that in non-sepsis and in healthy adults.And the NGAL levels maybe another sensitive biochemical marker for predicting infection.