Primary pigment dispersion syndrome(PDS)is characterized by pigment granules released from the pigment epithelium of iris, and their deposition in anterior segment of eye, particularly in the trabecular meshwork(TM). This condition may lead to elevated intraocular pressure(IOP),which further causes optic nerve damage, and progresses to pigmentary glaucoma(PG). PDS predominantly affects young myopic individuals and shows heterogeneous clinical manifestations. It may occur sporadically or in familial inheritance. It has been reported that the pathogenic genes include those involved in melanogenesis and melanosome homeostasis(e.g., PMEL, MC1R, SLC45A2, and TYR), and genes related to ocular development and anterior segment formation(e.g., CPAMD8, GSAP, and GRM5).The pathogenesis of PDS is closely associated with posterior iris concavity and reverse pupillary block, which may change the dynamics of aqueous humor, along with persistent liberation of pigmented granules by friction of iris and zonules. Pigmented granules accumulating in the TM may cause mechanical obstruction of TM, and increase the phagocytic burden of the cells, and result in cellular dysfunction and structural damage of TM. All these changes contribute to sustained elevation of IOP and optic neuropathy. Primary management of PDS involves regular follow-up and assessment of the risk of IOP elevation. Laser peripheral iridotomy may be considered to reduce posterior iris concavity in PDS. Treatment of PG focuses on IOP control for long term, which include topical medications, laser trabeculoplasty, and filtering or drainage surgery. Development of experimental animal models harboring human pathogenic genes and exhibiting PDS phenotypes is needed to facilitate in-depth research into the pathogenesis of PDS.

Background: Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits. Methods: Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery. Results: At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001). Conclusions ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Collagen is a major structural protein in the matrix of animal cells and the most widely distributed and abundant functional protein in mammals. Collagen’s good biocompatibility, biodegradability and biological activity make it a very valuable biomaterial. According to the source of collagen, it can be broadly categorized into two types: one is animal collagen; the other is recombinant collagen. Animal collagen is mainly extracted and purified from animal connective tissues by chemical methods, such as acid, alkali and enzyme methods, etc. Recombinant collagen refers to collagen produced by gene splicing technology, where the amino acid sequence is first designed and improved according to one’s own needs, and the gene sequence of improved recombinant collagen is highly consistent with that of human beings, and then the designed gene sequence is cloned into the appropriate vector, and then transferred to the appropriate expression vector. The designed gene sequence is cloned into a suitable vector, and then transferred to a suitable expression system for full expression, and finally the target protein is obtained by extraction and purification technology. Recombinant collagen has excellent histocompatibility and water solubility, can be directly absorbed by the human body and participate in the construction of collagen, remodeling of the extracellular matrix, cell growth, wound healing and site filling, etc., which has demonstrated significant effects, and has become the focus of the development of modern biomedical materials. This paper firstly elaborates the structure, type, and tissue distribution of human collagen, as well as the associated genetic diseases of different types of collagen, then introduces the specific process of producing animal source collagen and recombinant collagen, explains the advantages of recombinant collagen production method, and then introduces the various systems of expressing recombinant collagen, as well as their advantages and disadvantages, and finally briefly introduces the application of animal collagen, focusing on the use of animal collagen in the development of biopharmaceutical materials. In terms of application, it focuses on the use of animal disease models exploring the application effects of recombinant collagen in wound hemostasis, wound repair, corneal therapy, female pelvic floor dysfunction (FPFD), vaginal atrophy (VA) and vaginal dryness, thin endometritis (TE), chronic endometritis (CE), bone tissue regeneration in vivo, cardiovascular diseases, breast cancer (BC) and anti-aging. The mechanism of action of recombinant collagen in the treatment of FPFD and CE was introduced, and the clinical application and curative effect of recombinant collagen in skin burn, skin wound, dermatitis, acne and menopausal urogenital syndrome (GSM) were summarized. From the exploratory studies and clinical applications, it is evident that recombinant collagen has demonstrated surprising effects in the treatment of all types of diseases, such as reducing inflammation, promoting cell proliferation, migration and adhesion, increasing collagen deposition, and remodeling the extracellular matrix. At the end of the review, the challenges faced by recombinant collagen are summarized: to develop new recombinant collagen types and dosage forms, to explore the mechanism of action of recombinant collagen, and to provide an outlook for the future development and application of recombinant collagen.

Objective To observe the difference of bone micro-structure in different regions of proximal femur,micro-CT scanning was performed on 30 proximal femur specimens to explain the mechanism of proximal femur fracture and to provide anatomical basis for prosthesis design.Methods Totally 30 intact proximal femur specimens were obtained from 60-80 year-old cadavers.Micro-CT scanning was used to measure the trabecular thickness(Tb.Th),trabecular number(Tb.N),trabecular space(Tb.Sp),connectivity(Conn)and bone mineral density(BMD)and other parameters in 7 regions of proximal femur,including proximal pressure trabecular(PPT),distal pressure trabecular(DPT),femoral head-neck junction(FHNJ),head and neck of femoral neck(HNFN),the base of femoral neck(BPFN),intertrochanteric line(IL)and greater trochanter(GT).Results The bone mineral density of IL and GT were higher than those of BPFN,FHNJ,DPT and PPT.The trabecular thickness of GT was the largest,followed by IL,BPFN and HNFN,and the smallest was FHNJ,DPT and PPT.The trabecular space of IL was larger than that of GT,and the data of both were larger than those of other parts,among which DPT and PPT were the smallest.The trabecular number of IL and GT were the smallest,BPFN,HNFN and FHNJ were larger,and DPT was the largest.The volume fraction of IL was the smallest,BPFN and HNFN were larger,DPT and PPT were the largest.Conclusion The bone density,trabecular thickness,bone volume,and total volume of GT and IL in the proximal femur of elderly patients are all relatively large,so the reason for the high incidence of fractures is not due to weak internal bone microstructure;The bone density,trabecular thickness,and trabecular gap at the proximal and distal ends of the vertical trabecular bone are relatively small.If it is necessary to perform core decompression for prosthesis filling at this location,the design should be conducive to the mechanical conduction of the prosthesis and the regeneration of surrounding bone tissue.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To analyze the relevant factors affecting treatment compliance in infertile patients with mycoplasma infection, construct a nomogram prediction model and validate it.Methods:In this case-control study, we retrospectively analyzed the clinical data of 400 infertile patients who attended the Department of Reproduction of Ganzhou Maternal and Child Health Hospital, Jiangxi Province from April 2022 to March 2024. They were divided into modeling group ( n=280) and validation group ( n=120) according to the 7∶3 principle with random number method, and further divided into complete compliance subgroup and unstable compliance subgroup based on different levels of compliance. Multiple logistic regression model was used to analyze the risk factors affecting treatment adherence in infertile patients with mycoplasma infection, variance inflation factor was used to assess the collinearity of the independent variables and to construct a columnar plot prediction model, and the validation and predictive efficacy of the columnar plot model were assessed by calibration curves and decision curves, respectively. The validation and predictive efficacy of the column chart model were evaluated by calibration curve and decision curve respectively. Results:In the modeling group, there was no significant statistical difference between the fully compliant group and the unstable compliant group in terms of body mass index, place of residence, occupation, settlement form, and attitude of medical staff (all P>0.05). Age in the unstable adherence subgroup [(33.22±3.20) years], proportion of junior high school and below in education [36.81% (67/182)], proportion of average monthly disposable amount ≤2 000 yuan [36.81% (67/182)], proportion of poor disease awareness [62.09% (113/182)], and infertility related stress scale (IRSS) scores (45.60±17.14) were higher than those in the full adherence subgroup [(31.36±3.24) years, P<0.001; 19.39% (19/98), P=0.003; 16.33% (16/98), P<0.001; 28.57% (28/98), P<0.001; 37.64±16.69, P<0.001]. The receiver operating characteristc curve analysis results showed that the optimal cutoff values for age and IRSS score were 32 years old and 42 points, respectively. The results of logistic multiple regression model showed that: age ( OR=1.453, 95% CI: 1.260-1.794, P=0.002), education level ( OR=1.386, 95% CI: 1.185-1.564, P<0.001), average monthly disposable amount ( OR=1.081, 95% CI: 1.002-1.246, P=0.023), disease awareness level ( OR=1.827, 95% CI: 1.390-2.359, P<0.001), and average monthly disposable amount ( OR=1.081, 95% CI: 1.002-1.246, P=0.023), disease awareness ( OR=1.827, 95% CI:1.390-2.359, P<0.001), and IRSS score ( OR=1.590, 95% CI: 1.255-1.902, P=0.006) were independent risk factors affecting treatment adherence in infertile patients with mycoplasma infection. The modeling group C-index was 0.872 (0.816-0.927), the intercept (-0.004) and slope (0.995) of the calibration curve were close to the desirable values of 0 and 1, the Brier score was 0.017, and thresholds between 0.37 and 0.96 provided a net clinical benefit. The C-index of the test model set was 0.816 (0.736-0.896), the intercept (-0.007) and slope (1.015) of the calibration curve were close to the ideal values of 0 and 1, the Brier score was 0.013, and the threshold value provided a net clinical benefit when the threshold value ranged from 0.21 to 0.98, and the H-L goodness-of-fit test showed that χ 2=7.36, P=0.499, and the constructed predictive model for the column line graphs had good discrimination and consistency. Conclusion:Age, educational level, monthly average disposable income, disease awareness, and IRSS score are the relevant factors affecting treatment compliance in infertile patients with mycoplasma infection. The nomogram prediction model constructed in this study based on those relevant factors has a good predictive value for treatment compliance in infertile patients with mycoplasma infection, and can provide certain reference for clinical intervention measures.

The medical mask,which is used as an important tool of preventing the spread of respiratory diseases,can effectively block the transmission of biological aerosols.The detection for the filtration efficiency of bacteria in medical mask is particular importance.The Andersen sampler,is one kind of device that samples microbial aerosols,is widely used in the inspection for the filtration efficiency for bacteria in medical masks.It mainly consists of six impactors with different pore sizes.It simulates the deposition process of the most of particles at different positions in respiratory system through the bacterial particles in biological aerosols impact respectively the surface of petri dishes with agar under different pore sizes.This paper explored the development background,structure and sampling principle,operation and counting procedures of the Andersen sampler,as well as its application and importance in the inspection for the filtration efficiency for bacteria in medical mask.

Objective To observe CT manifestations of Fitz-Hugh-Curtis syndrome(FHCS).Methods Data of 23 patients with FHCS were retrospectively analyzed,and non-enhanced and enhanced abdominal and pelvic CT manifestations were observed.Results All 23 cases were found with pelvic inflammation,peritonitis,perihepatic inflammation,as well as abdominal and pelvic adhesion.The main manifestations of pelvic inflammation included pelvic effusion(23/23,100％),inflammatory changes of uterus and accessories(17/23,73.91％),and the latter presented as tubal thickening(8/17,47.06％)or tubal cystic dilatation and effusion(9/17,52.94％),with ovarian enlargement(8/9,88.89％)or nodules on uterine surface(1/9,11.11％).The main CT manifestations of peritonitis were peritoneal thickening(23/23,100％)and peritoneal nodules(15/23,65.22％),of perihepatic inflammation were mainly liver capsule enhancement(23/23,100％),subcapsular transient perfusion abnormality(16/23,69.57％),perihepatic effusion(20/23,86.96％)and perihepatic"violin-string sign"(16/23,69.57％).No inflammation in the bare area of liver was noticed.Among 23 cases,3 cases(3/23,13.04％)complicated with mechanical ileus,19 cases(19/23,82.61％)were accompanied by mesenteric or retroperitoneal lymph nodes enlargement with uniform or circular enhancement.Conclusion The main CT manifestations of FHCS included pelvic inflammation,peritonitis,perihepatic inflammation,as well as abdominal and pelvic adhesion,having certain characteristics.