Objective To evaluate the efficacy of various machine learning models combined with radiomics in the diagnosis and differential diagnosis of tuberculous spondylitis.Methods A literature search was conducted across six databases(PubMed,Web of Science,Embase,Wanfang,VIP,and CNKI)to collect all relevant articles on the diagnosis and differential diagnosis of tuberculous spondylitis published from their inception to September 1,2024.Results Eight studies were included(5 in English and 3 in Chinese),with 4 on the differential diagnosis between tuberculous spondylitis and brucellar spondylitis,2 on pyogenic spondylitis,and 2 on spinal metastases.The various models used in the included studies demonstrated good diagnostic performance.Conclusion Artificial intelligence shows potential in assisting with the diagnosis and differential diagnosis of tuberculous spondylitis.However,its clinical application faces numerous limitations and risks.This study provides new insights into the diagnosis and differential diagnosis of tuberculous spondylitis and offers valuable experience and feasibility for future multicenter and prospective studies involving machine learning combined with radiomics.

Objective:To retrieve and summarize the best evidence for cognitive function improvement in Alzheimer's disease patients, so as to provide reference for clinical practice.Methods:Following the "6S" evidence model, guidelines, expert consensus, clinical decision, and systematic reviews on cognitive function improvement in Alzheimer's disease patients were systematically retrieved from domestic and foreign databases and websites. The search keywords included "Alzheimer's disease, cognitive function, improvement". Evidence-based nursing methods were used to evaluate the quality of literature and extract evidence. The search period was from July 1, 2000 to July 31, 2024.Results:A total of 15 articles were included, including five guidelines, four expert consensus, two clinical decision, and four systematic reviews. Sixteen pieces of best evidence were summarized from four aspects of evaluation and identification, pharmacological intervention, non-pharmacological intervention, and caregiver support.Conclusions:Patients with Alzheimer's disease require timely identification of symptoms related to cognitive impairment and assessment using standardized scales. Multiple intervention methods, such as pharmacological intervention, non-pharmacological intervention, and caregiver support, should be used to enhance patients' quality of life. Evidence application should be tailored to each patient's specific circumstances through individualized selection and adjustment to ensure the effectiveness and scientific rigor of cognitive function improvement strategies, thereby facilitating the translation of optimal evidence into clinical practice.

The clinical data of an infant with chondrodysplasia accompanied by early-onset epilepsy and medial temporal lobe dysgenesis due to the FGFR3 gene mutation, who was treated in the Affiliated Hospital of Jining Medical University in March 2024 were retrospectively analyzed.The 9-day-old male infant presented with frequent apnea at 5 hours after birth and experienced first seizure at 24 hours after birth.Physical examination revealed short limbs.Magnetic resonance imaging (MRI) showed abnormal changes in bilateral temporal lobes, hippocampal structure and bilateral lateral ventricular temporal angles, so cerebral developmental abnormalities were considered in this child.Whole exome sequencing confirmed a heterozygous variation in the FGFR3 gene [c.1620C>A(p.Asn540Lys)].After receiving Phenobarbital monotherapy, the child still had frequent seizures, but the seizure was completely controlled after the additional use of Lvetiracetam.To August 2024, a total of 14 patients with achondroplasia, epilepsy, and medial temporal lobe dysplasia caused by FGFR3 gene mutations were identified.These patients typically experienced frequent seizures in early infancy, which could be accompanied by apnea and psychomotor retardation.MRI consistently showed abnormal development of bilateral temporal lobes and hippocampus.Seizures were hardly controlled by anti-seizure medications, and Phenobarbital was effective in some cases.Whole exome sequencing revealed gene variations of c.1620C>A or c. 1620C>G (p.Asn540Lys).Patients with achondroplasia caused by FGFR3 gene mutations may present with early-onset epilepsy and medial temporal lobe dysplasia.Early seizures are frequent and difficult to control, and Phenobarbital is effective in some cases.

Objective : To explore whether chrysophanol(CHR) affects macrophage polarization by promoting mitochondrial biosynthesis through AMPK/PGC-1α pathway. Methods : The molecular docking and binding ability of CHR with AMPK and PGC-1α were predicted by Autodock vina software. Human monocytes(THP-1) were induced to M0 macrophages by phorbol myristate acetate(PMA), and to M1 macrophages by lipopolysaccharide(LPS) combined with interferon-γ(IFN-γ), which were set as Control group. M1 macrophages treated with CHR were set as CHR group. M1 macrophages treated with CHR combined with AMPK inhibitor(Compound C) were set as CHR+Compound C group. The mRNA expression levels of M1 macrophage markers(iNOS, CD86) and mitochondrial biosynthesis related genes(PGC-1α, NFR-1, TFAM) were detected by Quantitative real time polymerase chain reaction(qRT-PCR). The expression level of M1 macrophage marker iNOS was detected by immunofluorescence. The protein expression levels of AMPK, p-AMPK and PGC-1α were detected by Western blot. Results : The docking results showed that the binding energies of CHR with AMPK and PGC-1α were-8.4 kcal/mol and-7.4 kcal/mol, respectively. qRT-PCR results showed that the in vitro model of M1 macrophages was successfully established. Compared with the Control group, CHR treatment significantly increased the mRNA expression of mitochondrial biosynthesis-related genes PGC-1α, NFR-1, and TFAM(P<0.001). Compared with CHR treatment group, CHR combined with Compound C treatment significantly decreased the mRNA expression levels of mitochondrial biosynthesis-related genes PGC-1α, NFR-1, and TFAM(P<0.05). Immunofluorescence results showed that CHR treatment inhibited the protein expression of iNOS compared with the Control group(P<0.001). Compared with CHR treatment group,CHR combined with Compound C treatment reversed the inhibitory effect of CHR on i NOS protein expression(P<0.05). Western blot results showed that compared with the Control group,the CHR treatment group had significant increase in the protein expression levels of p-AMPK and PGC-1α(P<0.001).Compared with CHR treatment group,CHR combined with Compound C treatment significantly decreased the protein expression levels of p-AMPK and PGC-1α(P<0.05). Conclusion Chrysophanol may inhibit macrophage polarization to M1 by activating AMPK/PGC-1α signaling pathway to promote mitochondrial biosynthesis.

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

In the century-long evolution of insulin pharmaceuticals, each transformative advancement in this drug class has been closely tied to the ability to obtain new insulin isoforms for research. Despite this, the recently discovered naturally occurring isoforms of glycosylated human insulin have remained largely unattainable for proper characterization. Herein, we demonstrate for the first time that total chemical synthesis can be used to generate all isoforms. This achievement required maintaining the correct positions of the interchain disulfide bonds while effectively removing protecting groups on complex glycans. Notably, the availability of seven glycoforms reveals the important effects of natural sialylated glycans in suppressing insulin self-association and enhancing its solubility, surpassing the performance of currently employed rapid-acting insulin drugs. This work not only offers a readily adaptable platform for exploring natural O-glycosylation in other therapeutic proteins and peptides but also lays the groundwork for further research into harnessing natural glycosylation for therapeutic applications.

Objective:To retrieve and summarize the best evidence for cognitive function improvement in Alzheimer's disease patients, so as to provide reference for clinical practice.Methods:Following the "6S" evidence model, guidelines, expert consensus, clinical decision, and systematic reviews on cognitive function improvement in Alzheimer's disease patients were systematically retrieved from domestic and foreign databases and websites. The search keywords included "Alzheimer's disease, cognitive function, improvement". Evidence-based nursing methods were used to evaluate the quality of literature and extract evidence. The search period was from July 1, 2000 to July 31, 2024.Results:A total of 15 articles were included, including five guidelines, four expert consensus, two clinical decision, and four systematic reviews. Sixteen pieces of best evidence were summarized from four aspects of evaluation and identification, pharmacological intervention, non-pharmacological intervention, and caregiver support.Conclusions:Patients with Alzheimer's disease require timely identification of symptoms related to cognitive impairment and assessment using standardized scales. Multiple intervention methods, such as pharmacological intervention, non-pharmacological intervention, and caregiver support, should be used to enhance patients' quality of life. Evidence application should be tailored to each patient's specific circumstances through individualized selection and adjustment to ensure the effectiveness and scientific rigor of cognitive function improvement strategies, thereby facilitating the translation of optimal evidence into clinical practice.

Objective To evaluate the efficacy of various machine learning models combined with radiomics in the diagnosis and differential diagnosis of tuberculous spondylitis.Methods A literature search was conducted across six databases(PubMed,Web of Science,Embase,Wanfang,VIP,and CNKI)to collect all relevant articles on the diagnosis and differential diagnosis of tuberculous spondylitis published from their inception to September 1,2024.Results Eight studies were included(5 in English and 3 in Chinese),with 4 on the differential diagnosis between tuberculous spondylitis and brucellar spondylitis,2 on pyogenic spondylitis,and 2 on spinal metastases.The various models used in the included studies demonstrated good diagnostic performance.Conclusion Artificial intelligence shows potential in assisting with the diagnosis and differential diagnosis of tuberculous spondylitis.However,its clinical application faces numerous limitations and risks.This study provides new insights into the diagnosis and differential diagnosis of tuberculous spondylitis and offers valuable experience and feasibility for future multicenter and prospective studies involving machine learning combined with radiomics.

The clinical data of an infant with chondrodysplasia accompanied by early-onset epilepsy and medial temporal lobe dysgenesis due to the FGFR3 gene mutation, who was treated in the Affiliated Hospital of Jining Medical University in March 2024 were retrospectively analyzed.The 9-day-old male infant presented with frequent apnea at 5 hours after birth and experienced first seizure at 24 hours after birth.Physical examination revealed short limbs.Magnetic resonance imaging (MRI) showed abnormal changes in bilateral temporal lobes, hippocampal structure and bilateral lateral ventricular temporal angles, so cerebral developmental abnormalities were considered in this child.Whole exome sequencing confirmed a heterozygous variation in the FGFR3 gene [c.1620C>A(p.Asn540Lys)].After receiving Phenobarbital monotherapy, the child still had frequent seizures, but the seizure was completely controlled after the additional use of Lvetiracetam.To August 2024, a total of 14 patients with achondroplasia, epilepsy, and medial temporal lobe dysplasia caused by FGFR3 gene mutations were identified.These patients typically experienced frequent seizures in early infancy, which could be accompanied by apnea and psychomotor retardation.MRI consistently showed abnormal development of bilateral temporal lobes and hippocampus.Seizures were hardly controlled by anti-seizure medications, and Phenobarbital was effective in some cases.Whole exome sequencing revealed gene variations of c.1620C>A or c. 1620C>G (p.Asn540Lys).Patients with achondroplasia caused by FGFR3 gene mutations may present with early-onset epilepsy and medial temporal lobe dysplasia.Early seizures are frequent and difficult to control, and Phenobarbital is effective in some cases.

Hypoxia is the common characteristic of almost all solid tumors,which prevents therapeutic drugs from reaching the tumors.Therefore,the development of new targeted agents for the accurate diagnosis of hypoxia tumors is widely concerned.As carbonic anhydrase Ⅸ(CA Ⅸ)is abundantly distributed on the hypoxia tumor cells,it is considered as a potential tumor biomarker.4-(2-Aminoethyl)benzenesulfo-namide(ABS)as a CA Ⅸ inhibitor has inherent inhibitory activity and good targeting effect.In this study,Ag2S quantum dots(QDs)were used as the carrier to prepare a novel diagnostic and therapeutic bio-probe(Ag2S@polyethylene glycol(PEG)-ABS)through ligand exchange and amide condensation reaction.Ag2S@PEG-ABS can selectively target tumors by surface-modified ABS and achieve accurate tumor im-aging by the near infrared-Ⅱ(NIR-Ⅱ)fluorescence characteristics of Ag2S QDs.PEG modification of Ag2S QDs greatly improves its water solubility and stability,and therefore achieves high photothermal sta-bility and high photothermal conversion efficiency(PCE)of 45.17％.Under laser irradiation,Ag2S@PEG-ABS has powerful photothermal and inherent antitumor combinations on colon cancer cells(CT-26)in vitro.It also has been proved that Ag2S@PEG-ABS can realize the effective treatment of hypoxia tumors in vivo and show good biocompatibility.Therefore,it is a new efficient integrated platform for the diagnosis and treatment of hypoxia tumors.