Fecal microbiota transplantation (FMT) technology originated in China during the Eastern Jin Dynasty and has rapidly developed over the past two decades, becoming a primary method for studying the causal relationship between gut microbiota and the occurrence and progression of diseases. At the same time, the therapeutic effects of FMT in the field of gastrointestinal diseases have gained widespread recognition and are gradually expanding into other disease areas. The FMT procedure is relatively complex, and there is currently no standardized method; its success is influenced by various factors, including the donor, recipient, processing of the fecal material, and the method of implantation. Given the increasingly recognized relationship between gut microbiota and various diseases, FMT has become a research hotspot in both scientific studies and clinical applications, achieving a series of significant advancements. To help researchers better understand this technology, this paper will outline the development history of FMT, summarize common operational methods in research and clinical settings, review its application progress, and look forward to future development directions.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective To explore the clinical significance and antimicrobial resistance of group B Streptococcus(GBS)isolated from midstream urine culture,aiming to provide a basis for the diagnosis and treatment of clinical urinary tract infection(UTI).Methods Information about GBS strains isolated from midstream urine culture of in-patients and outpatient in a hospital in Nanjing from February 2020 to December 2022 were retrieved through labora-tory information system,strains with complete data were screened out.Case data,urine routine,and antimicrobial susceptibility testing results were reviewed.Results A total of 9 081 non-repetitive bacterial strains were detected from midstream urine culture,including 425 GBS strains,accounting for 4.7％,ranking sixth.Strains with incom-plete data were excluded,a total of 365 patients were included in the study.169(46.3％)were males and 196(53.7％)were females,with an average age of(55.4±15.2)years.365 patients who were detected GBS were from 17 de-partments,with the highest proportion being department of urology(n=237,64.9％).The underlying diseases of patients mainly included hypertension(n=136),diabetes(n=95),urolithiasis(n=120)and urinary tumors(n=98).211 patients underwent urological surgery,all were treated with antimicrobial agents before surgery,and 205 patients underwent indwelling urinary catheters after surgery;9 patients were detected GBS from urine during the middle and advanced stage of pregnancy.36.4％(n=133),38.9％(n=142)and 24.7％(n=90)patients had GBS colony count ≤104 CFU/mL,104-105 CFU/mL,and ≥105 CFU/mL,respectively.Patients with symptoms of UTI accounted for 24.9％(n=91),and asymptomatic bacteriuria accounted for 75.1％(n=274).The incidence of UTI symptoms in males was lower than that in females(19.5％vs 29.6％,P＜0.05).As the GBS colony count in urine culture increased,the proportion of patients with symptoms of UTI showed an upward trend(P＜0.05).On the day of urine culture,the positive rates of urine routine white blood cells,leukocyte esterase,and nitrite were 53.2％,50.1％,and 3.8％,respectively.The positive rates of urine occult blood,leukocyte esterase,white blood cells,and urine protein in patients with symptomatic UTI were all higher than those with asymptomatic bacteriuria patients(all P＜0.05).No GBS were found to be resistant to penicillin,ampicillin,vancomycin,linezolid,and tigecycline.The resistance rate to levofloxacin and moxifloxacin was about 40％,and resistance rate to tetracycline and clindamycin was over 60％.Conclusion GBS isolated from urine is more common in non-pregnant adults,and only a small percentage have symptoms of UTI.The results of urine culture and urine routine should be comprehen-sively judged based on patient's clinical symptoms and signs.GBS in urine is susceptible to multiple antimicrobial agents,and clinical medication should be adopted rationally based on antimicrobial susceptibility testing result.

BACKGROUND:Establishing an objective and standard animal model of bone nonunion is essential for experimental studies and treatment of nonunion. OBJECTIVE:To establish an objective animal model for experimental studies of nonunion. METHODS:Specific pathogen-free male Wistar rats were selected and prepared by cutting off a 5 mm bone defect in the middle femur,peeling off a large periosteum and removing bone marrow.Animal models were fixed with a 1.2 mm Kirschner wire.At 1,4 and 8 weeks,bone nonunion was observed by gross specimen observation,X-ray examination and histopathological examination. RESULTS AND CONCLUSION:The gross specimen,X-ray film and histopathological examination showed that there was no callus formation in the bone defect area,the broken end was filled with fiber tissue,and the bone callus was rare or even invisible.To conclude,the rat model of nonunion can be successfully established by osteotomy of the middle femur,large periosteum peeling and bone marrow removal.This modeling method is simple,reliable and effective.

BACKGROUND:Increasing studies have found that estrogen has a certain correlation with tendinopathy,but for a long time,there are few experiments and summaries of estrogen in tendinopathy,which makes it difficult for specialists and scholars in related fields to fully understand the research status. OBJECTIVE:To summarize the current clinical or preclinical original research,so as to summarize the role of estrogen in tendinosis,and make a certain prospect for the evaluation and management of estrogen in tendinosis in the future. METHODS:Relevant literature in PubMed,Web of Science,CNKI,WanFang,and VIP databases were searched by computer.Search time was from January 2008 to September 2023.The search terms were"oestrogen,estrogen,estrogen receptor,tendinopathy,tendonopathy,sinew,tendon,tendons,myotenositis"in English and"estrogen,estrogen receptor,tendinosis,tendon,tendinitis"in Chinese.According to the selection criteria,the search results were screened and excluded,and finally 60 documents were included for review and analysis. RESULTS AND CONCLUSION:In vivo studies have shown that estrogen can promote tendon anabolism.In vitro experiments have also proved that various estrogens can promote the proliferation of tendon cells and reduce inflammation and apoptosis,but most of the experiments are limited to animal models.Estrogen receptor β acts more in tendon injury and repair processes,but estrogen receptor α has not been found to have a major impact on tendon injury.The expression of estrogen receptor β can repair the tendon by affecting the formation of fat,the deposition of type I collagen and reducing the apoptosis of tendon cells,while its over-expression may promote inflammation and angiogenesis,thus promoting the inflammatory process and playing a role in tendon injury.Animal studies have shown that estrogen deficiency may reduce the synthesis efficiency of collagen in the tendon,decrease the elasticity of tendon,inhibit the synthesis and metabolism of the tendon,which is not conducive to the repair of tendon injury,while normal level of estrogen may stimulate the synthesis of type I collagen in tendon and promote the proliferation and metabolism of tendon cells.At present,the molecular mechanism of estrogen in tendon injury has not been fully explained.More experiments focus on tendon collagen synthesis,cell proliferation and apoptosis.Only a few documents have studied the molecular mechanisms of estrogen receptor β deficiency regulating interferon regulatory factor 5-chemokine ligand 3 axis,E2 regulating estrogen receptor α and PI-3K-Akt signaling pathways,and high levels of estradiol reducing the level of free-circulating insulin-like growth factor.Various estrogens,including endogenous estrogens and phytoestrogens,are beneficial to the repair of tendinopathy at normal levels,and estrogen receptor β mainly affects the formation of fat,the deposition of type I collagen and the reduction of apoptosis of tendon cells through,which lays a foundation for the future treatment of tendinopathy with different subtypes of estrogens in vivo and the influence of estrogen membrane receptors on tendinopathy.

Platinum-based nanoplatforms can enhance the absorption of X-ray due to the presence of high atomic number element of platinum and are applied to computed tomography imaging.Meanwhile,platinum-based nanomaterials have good near-infrared light absorption properties and photothermal conversion efficiency,which make them capable of photothermal imaging and photoacoustic imaging.In addition,by reducing transverse and longitudinal relaxation time,platinum-based nanoplatforms can mediate MRI imaging.In this paper,we report a multimodal imaging system based on platinum-based nanoplatforms for guiding the development of cancer treatment and diagnosis platform and medical application research,and also summarize the prospects of multimodal imaging technology in cancer diagnosis and treatment,report the research progress of platinum-based nanoplatforms in improving the contrast of medical images and enhancing cancer treatment.

This paper systematically analyzed the ancient monographs of acupuncture and moxibustion and comprehensive medical books from pre-Qin to 1911， and extracted the data according to the etiology and pathogenesis， treatment principles and methods， acupoint selection， needling and moxibustion， and taboos of needling and moxibustion. The pathogenesis of migraine in ancient books and documents is summarized as "the causes are diverse， and phlegm-dampness is the majority". For treatment， the features include "needling has a sequence， and the root and the branch should be treated separately" and "focusing on tonifying deficiency and drain excess". It is also obtained of the rich ideas of acupoints selection， extensive application records of moxibustion， unique application of bloodletting therapy and clear explanation of acupuncture and moxibustion taboos. All mentioned above is expected to enrich the ideas and methods of modern migraine treatment and improve the clinical effects.