ObjectivesMounting evidence suggests that bacterial dysbiosis and immunity disorder are associated with patients with chronic kidney disease (CKD), but the mycobiome is beginning to gain recognition as a fundamental part of our microbiome. We aim to characterize the profile of the mycobiome in the gut of CKD patients and its correlation to serum immunological profiles.Methods and materialsNinety-two CKD patients and sex–age–body mass index (BMI)–matched healthy controls (HCs) were recruited. Fresh samples were collected using sterile containers. ITS transcribed spacer ribosomal RNA gene sequencing was performed on the samples. An immunoturbidimetric test was used to assess the serum levels of immunological features.ResultsThe CKD cohort displayed a different microbial community from that in the HC cohort according to principal coordinate analysis (PCoA). (P=0.001). The comparison of the two cohorts showed that the CKD cohort had significantly higher gut microbial richness and diversity (P<0.05). The CKD cohort had lower abundances of Candida, Bjerkandera, Rhodotorula, and Ganoderma compared to the HC cohort, while it had higher Saccharomyces (P<0.05). However, the microbial community alteration was inconsistent with the severity of kidney damage in patients, as only patients in CKD stage 1~3 had differed microbial community concerning for HCs based on PCoA (P<0.05). The serum concentration of the kappa light chain in CKD patients was positively associated with Saccharomyces, whereas the it was negatively associated with Ganoderma (P<0.05).ConclusionsNot only was gut mycobiome dysbiosis observed in CKD patients, but the dysbiosis was also associated with the immunological disorder. These findings suggest that therapeutic strategies targeting gut mycobiome might be effective.
Dysbiotic gut microbiome in chronic kidney disease (CKD) patients has been extensively explored in recent years. Skin microbiome plays a crucial role in patients with skin diseases or even systemic disorders. Pruritus is caused by the retention of uremic solutes in the skin. Until now, no studies have investigated the role of skin microbiome in CKD and its association with pruritus. Here, we aim to examine the bacterial profile of skin microbiome in CKD and whether it is correlated to pruritus. A total of 105 CKD patients and 38 healthy controls (HC) were recruited. Skin swab was used to collect skin samples at the antecubital fossa of participants. Bacterial 16S rRNA genes V3–V4 region was sequenced on NovaSeq platform. On the day of skin sample collection, renal function was assessed, and numeric rating scale was used to measure pruritus severity. Principal coordinate analysis (PCoA) revealed a significant difference in bacterial composition between the groups of CKD and HC. A depletion of bacterial diversity was observed in CKD patients. Akkermansia, Albimonas, Escherichia–Shigella, etc. showed significant higher abundance in CKD patients, whereas Flavobacterium, Blastomonas, Lautropia, etc. significantly declined in patients. Escherichia–Shigella achieved an acceptable diagnostic biomarker with area under the curve (AUC) value of 0.784 in the receiver operating characteristics (ROC) curve. In addition, CKD patients with pruritus (P-CKD) had a different bacterial community comparing to those without pruritus (non-P-CKD) and HC group. Several bacterial genera showing significant difference between P-CKD and non-P-CKD/HC, such as Oribacterium, significantly declined in P-CKD patients than that in the HC group, and Methylophaga significantly increased in P-CKD patients compared to that in HC subjects. Escherichia–Shigella was positively associated with the levels of pruritus severity, blood urea nitrogen (BUN), uric acid, and urine protein; Oribacterium was negatively associated with pruritus severity, whereas it was positively associated with estimated glomerular filtration rate (eGFR) and 24-h urine volume. The dysbiotic of skin microbiome in CKD patients and its association with pruritus and renal function shed a light on skin probiotics.
Owing to the contribution of cranial neural crest cells (CNCCs) to the majority of craniofacial structures, they have been studied extensively for the pathogenesis of craniofacial diseases. To investigate and summarize how to isolate and culture the CNCCs from wild‐type mice, a literature search was performed in online databases (PubMed and Web of Science) using optimized keywords “mouse,” “cranial neural crest cell” and “culture.” The literature was checked by two investigators according to the screening and exclusion criteria. Initially, 197 studies were retrieved from PubMed and 169 from Web of Science, and after excluding replicate studies, 293 articles were considered. Finally, 17 studies met all the criteria and were included in this review. The results showed that obtaining purified stem cells and balancing the need to promote cell growth and prevent unwanted early cell differentiation were the two key points in the isolation and culture of CNCCs. However, no standard criteria are available for answering these questions. Thus, it is important to emphasize the necessity for standardization of CNCC isolation, culture, and identification in research on craniofacial diseases.
Background: This study aimed to evaluate the effect of applying digital technology in cephalometric measurement teaching and students’ acceptance towards it. Methods: In total, 94 undergraduates of stomatology were recruited and randomly allocated to two groups. According to the cross-over design, both groups completed cephalometric measurements through the traditional hand-drawn method and digital technology (the Dolphin software) in different orders. By traditional hand-drawn method, students need to depict the outlines of the craniofacial anatomical structures on the sulfuric transfer paper first, then marked the measurement points and completed the measurement of line spacings and angles. By digital technology, they should mark the points in the software and adjust the automatically generated outlines of the structures and obtained the results. Besides, an online questionnaire was designed to investigate students' attitudes toward the digital technology. Two professional orthodontists were invited as instructors. They measured a lateral cranial radiograph by two methods with one week’s interval, and their intra- and inter-class correlation coefficient were measured. The means of their measurements were set as standards. Results: The inter- and intra-ICC of two instructors surpassed 90%, and there were no significant differences between their measurements, and the measurements by two methods. There were significant differences of students’ measurements (P1-SNA<0.01, P1-SNB=0.01 and P1-L1-NB (mm)<0.01; SNA: sella-nasion-subspinale angle, SNB: sella-nasion-supramental angle, L1-NB (mm): the distance from the lower central incisor tip to the nasion-supramental plane) between the traditional method and digital technology. Besides, the most results of digital technology were closer to the standards than those of traditional method, including five items with statistical significance (P2-SNB<0.05, P2-L1-NB (mm)<0.01, P2-FMA<0.05, P2-FMIA<0.05, P2-IMPA<0.01), while three items were the opposite (P2-SNA<0.05, P2-ANB (mm)<0.01, P2-NA-PA<0.01). The questionnaire showed more students preferred digital technology (33%) compared with traditional method (2%) and 72% of participants mastered 50-80% of cephalometric knowledge after the course.
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