Reproductive system diseases are among the primary contributors to the decline in social fertility rates and the intensification of aging, posing significant threats to both physical and mental health, as well as quality of life. Recent research has revealed the substantial potential of the gut microbiota in improving reproductive system diseases. Under healthy conditions, the gut microbiota maintains a dynamic balance, whereas dysfunction can trigger immune-inflammatory responses, metabolic disorders, and other issues, subsequently leading to reproductive system diseases through the gut-gonadal axis. Reproductive diseases, in turn, can exacerbate gut microbiota imbalance. This article reviews the impact of the gut microbiota and its metabolites on both male and female reproductive systems, analyzing changes in typical gut microorganisms and their metabolites related to reproductive function. The composition, diversity, and metabolites of gut bacteria, such as Bacteroides, Prevotella, and Firmicutes, including short-chain fatty acids, 5-hydroxytryptamine, γ-aminobutyric acid, and bile acids, are closely linked to reproductive function. As reproductive diseases develop, intestinal immune function typically undergoes changes, and the expression levels of immune-related factors, such as Toll-like receptors and inflammatory cytokines (including IL-6, TNF-α, and TGF-β), also vary. The gut microbiota and its metabolites influence reproductive hormones such as estrogen, luteinizing hormone, and testosterone, thereby affecting folliculogenesis and spermatogenesis. Additionally, the metabolism and absorption of vitamins can also impact spermatogenesis through the gut-testis axis. As the relationship between the gut microbiota and reproductive diseases becomes clearer, targeted regulation of the gut microbiota can be employed to address reproductive system issues in both humans and animals. This article discusses the regulation of the gut microbiota and intestinal immune function through microecological preparations, fecal microbiota transplantation, and drug therapy to treat reproductive diseases. Microbial preparations and drug therapy can help maintain the intestinal barrier and reduce chronic inflammation. Fecal microbiota transplantation involves transferring feces from healthy individuals into the recipient’s intestine, enhancing mucosal integrity and increasing microbial diversity. This article also delves into the underlying mechanisms by which the gut microbiota influences reproductive capacity through the gut-gonadal axis and explores the latest research in diagnosing and treating reproductive diseases using gut microbiota. The goal is to restore reproductive capacity by targeting the regulation of the gut microbiota. While the gut microbiota holds promise as a therapeutic target for reproductive diseases, several challenges remain. First, research on the association between gut microbiota and reproductive diseases is insufficient to establish a clear causal relationship, which is essential for proposing effective therapeutic methods targeting the gut microbiota. Second, although gut microbiota metabolites can influence lipid, glucose, and hormone synthesis and metabolism via various signaling pathways—thereby indirectly affecting ovarian and testicular function—more in-depth research is required to understand the direct effects of these metabolites on germ cells or granulosa cells. Lastly, the specific efficacy of gut microbiota in treating reproductive diseases is influenced by multiple factors, necessitating further mechanistic research and clinical studies to validate and optimize treatment regimens.

Objective: To investigate the characteristics of HIV-1 molecular transmission network among HIV/AIDS patients in Zhoushan City, Zhejing Province. Methods: The newly reported HIV/AIDS cases in Zhoushan City from 2020 to 2022 were selected. Basic information was collected and whole blood samples were obtained at the initial follow-up. The pol gene sequences of HIV-1 were amplified by RT-PCR and nested-PCR. HIV-1 subtypes were identified by Neighbor-Joining phylogenetic trees. The HIV-1 molecular transmission network was built and analyzed using Cytoscape 3.6.1 software. Results: A total of 222 HIV/AIDS cases were reported in Zhoushan City from 2020 to 2022, 200 whole blood samples were collected, and 152 sequences were obtained successfully, including 122 males (80.26%), 75 cases aged 50 years and above (49.34%), 109 cases with a junior high school education or below (71.71%), and 63 cases with commercial heterosexual contact (41.45%). The main subtypes were CRF07_BC and CRF01_AE, accounting for 45.39% and 21.05%, respectively. When the threshold of genetic distance was set to 1%, 20 molecular clusters were formed in 69 cases, with a clustering rate of 45.39%. Using the molecular network constituted by reported HIV/AIDS cases in 2020 as the baseline network, there were 2 active molecular clusters with ≥5 new cases in 2022, each with 9 cases, characterized mainly by individuals aged 50 or above, with a junior high school education or below, and transmission through commercial heterosexual sex. Conclusions The predominant HIV-1 subtypes among HIV/AIDS cases in Zhoushan City are CRF07_BC and CRF01_AE. Transmission through commercial heterosexual contact among middle-aged and elderly people is a main mode of HIV transmission.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

Intestinal organoids are constructed by crypts or stem cells from the intestine under the 3D support of the culture matrix. They contain all mature cells of the intestine, and have become a new and efficient platform for studying the mechanism of intestinal diseases. Compared with 2D cell culture, organoids can not only more effectively simulate the physiological structure and function of the intestine, but also better restore the true ecology of the intestine in different external environments. Therefore, it is more widely used in the study of pathogenesis of different intestinal diseases. This article reviewed the new progress of intestinal organoids culture, and the application and progress of intestinal organoids in the pathogenesis of inflammatory bowel diseases, colorectal cancer and celiac disease in recent years, and also discussed the application of intestinal organoids in drug research and development and screening.

Eag1(ether-à-go-go-1,also known as Kv10.1,KC-NH1)is a member of the KCNH gene family of voltage-gated potassiumion(K+)channels,which is mainly expressed in the central nervous system as well as in a variety of malignancies and plays an important role in tumor development.The study of the distribution and mechanism of action of Eag1 is of great impor-tance to reveal its physiological function and its association with pathological mechanisms.This paper reviews the current re-search progress on the physiological and pathological properties of Eag1,the relationship between Eag1 and tumor development and the anti-tumor application of Eag1 modulators.

Objective To analyze the medication laws of children with nephrotic syndrome during hormone withdrawal period treated by TCM master Zhang Qi using data mining methods,inheriting his academic ideas.Methods The medical records of children with nephrotic syndrome during the hormone withdrawal period treated by Professor Zhang Qi at the Outpatient Department of Traditional Chinese Medicine of Heilongjiang Provincial Hospital from January 2008 to December 2018 were collected.A database was established using Excel 2019.Frequency statistics,association rules,and clustering analysis were employed among other data mining techniques to elucidate Professor Zhang Qi's medication principles based on the Traditional Chinese Medicine Inheritance Computing Platform 3.5.Results A total of 271 prescriptions were selected,encompassing 194 types of Chinese herbs,with a total drug frequency of 4 610 instances.High-frequency herbs included Glycyrrhizae Radix et Rhizoma,Astragali Radix,Nelumbinis Semen,Ophiopogonis Radix,Lycii Cortex,Poria,Pseudostellariae Radix,Bupleuri Radix,Lonicerae Japonicae Flos,and others.The properties of the drugs were predominantly cold and neutral,with flavors mainly sweet,bitter and pungent,and they targeted the lung meridian,spleen meridian,and kidney meridian primarily.In terms of therapeutic efficacy,there was a higher frequency of usage for tonifying deficiencies,clearing heat,and resolving water and dampness.Through association rule analysis,a total of 184 groups of high-frequency herb combinations were identified.When the support rate was set at 60%,seven core herb combinations were included:Astragali Radix,Pseudostellariae Radix,Nelumbinis Semen,Ophiopogonis Radix,Lycii Cortex,Poria,Glycyrrhizae Radix et Rhizoma.Clustering analysis yielded 6 novel formula combinations.Conclusion The hormone withdrawal period for children with nephrotic syndrome is characterized by the weakness of the lung,spleen and kidney,commonly presenting as qi-yin deficiency syndrome.Professor Zhang Qi manages the condition by regulating the qi of the lung,spleen and kidney,and employs a treatment strategy that is both tonifying and supplementing.To balance yin and yang,medications are chosen to clear dampness and heat,regulate qi and the stomach,and promote the elimination of water and dampness.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Objective To evaluate the clinical application effect of fracture liaison service(FLS)mode after percutaneous vertebroplasty(PVP)/percutaneous kyphoplasty(PKP)for thoracolumbar fragility fracture.Methods A prospective study was conducted,and 762 patients with thoracolumbar fragility fracture who underwent PVP/PKP in the department of orthopedics in our hospital from January 2018 to May 2021 were included and divided into the control group(374 cases)and the observation group(388 cases)according to the random number table method.Patients in the control group received routine osteoporosis intervention,while the patients in the observation group implemented FLS through Blue Bull Medical Care or Chronic Health APP on the basis of the control group to systematically manage the osteoporosis treatment after discharge.The follow-up lasted for 12 months,and the 8-item Morisky medication adherence scale(MMAS-8)score,pain visual analogue scale(VAS)score,Oswestry disability index(ODI)score and Hamilton depression rating scale(HAMD)score at discharge,and 6 months and 12 months after discharge of the two groups were compared.The incidences of re-fracture and constipation 6 months and 12 months after discharge of the two groups were compared.The Cobb angle and bone mineral density T-value of injured vertebrae 6 months and 12 months after discharge of the two groups were compared.Results There was no statistically significant difference in the MMAS-8 score,VAS score,ODI score or HAMD score at discharge of patients between the two groups(P>0.05).The VAS score,ODI score and HAMD score 6 months and 12 months after discharge in the observation group were lower than those in the control group(P<0.05),the MMAS-8 score in the observation group was higher than that in the control group(P<0.05),and the incidences of re-fracture and constipation in the observation group were lower than those in the control group(P<0.05).There was no statistically significant difference in the Cobb angle of injured vertebrae 12 months after discharge of patients between the two groups(P>0.05).The bone mineral density T-value 12 months after discharge in the observation group was higher than that in the control group(P<0.05).Conclusion The FLS mode can significantly improve the medication compliance of patients,relieve pain,depression and constipation,improve bone mineral density,and significantly reduce the incidence of vertebral re-fracture in patients after vertebral augmentation surgery;however,it has no significant effect on the Cobb angle of injured vertebrae.

This study was aimed at investigating the pathogenic and molecular characteristics of Klebsiella pneumoniae(KP)in fecal samples of diarrhea cases in a district of Beijing.Fecal samples from diarrhea cases in an outpatient department in a district of Beijing from 2018 to 2021 were collected,and used for isolation and culture of KP.The KP strains isolated strains were subjected to drug resistance phenotype testing and whole-genome sequencing.Multilocus sequence typing and whole-genome phyletic evolution analysis were performed on the sequencing results.The cases'epidemiological and clinical characteristics were analyzed.From 2018 to 2021,1 103 fecal samples were collected and detected.The total detection rate of KP was 10.43％(115/1 103),and the infection rate of KP mixed with other diarrhea-causing pathogens was 42.61％(49/115).The positivity rate was slightly high(12.47％,61/489)a-mong females and was highest in young adults 16-45 years of age.Small peaks were observed in January,April to May,and August to September.The gastrointestinal symptoms in cases were mainly nausea and watery stool,and the suspicious food was unknown.Ampicillin,tetracycline,and sulfafurazole were the top three antibiotics to which these 115 KP strains showed resistance,and 29 strains were resistant to multiple antibiotics.The strains were divided into 72 sequence types,among which ST23 was dominant.According to the phylogenetic tree,the strains were divided into four main branches,among which 14 ST23 strains had a very close genetic relationship with the highly virulent NTUH-K2044 reference strain.KP infection persisted in fecal samples from diarrhea cases in the district of Beijing.Women and young adults were particularly susceptible.The drug resistance of KP strains in this region was very serious,and the ST types were diverse.Moreover,the ST23 pathogenic strains were closely related to high virulence strains.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.