Introduction: Diazoxide is an effective treatment for hyperinsulinemic hypoglycemia (HH), though its dosage for the transient form of HH is not well established. Recently, a Singapore cohort reported effective low-dose diazoxide in treating HH secondary to small for gestational age (SGA). We aim to study the effectiveness and safety of this low-dose regimen in transient HH. Methodology: This was a retrospective cohort study. All infants diagnosed with transient HH and treated with diazoxide between 1 January 2024 and 31 December 2025 were included. The primary objective was to determine the effective diazoxide dose in maintaining euglycemia (blood glucose ≥3.5 mmol/L). The secondary objective was to monitor complications following diazoxide usage. Results: A total of 21 infants were recruited with a median gestational age of 37 weeks (IQR: 35–37.5) and a median birth weight of 1,980 grams (IQR: 1,670–2,340). The risk factors were SGA (71.4%, n = 15), infants of diabetic mothers (19%, n = 4), and others (14%, n = 3). A median glucose infusion rate of 12.6 (IQR: 10.4–14.5) mg/kg/minute was required to treat the hypoglycemia. Eleven infants (52.3%) required adjunct glucagon therapy before transitioning to diazoxide therapy, with a median dose of 8 mcg/kg/hour (IQR: 7–12). Diazoxide was initiated at a median of 20 days of life (IQR: 14–30), with a median starting dose of 3.0 mg/kg/day (IQR: 3.0–3.55). Euglycemia was fully achieved in 95.2% (n = 20) of infants within a median of 5 days (IQR: 3–9) post diazoxide initiation. At discharge, the median diazoxide dose was 3.3 mg/kg/day (IQR: 3.0–4.8). Adverse events occurred in five cases (23.8%), primarily limited to transient fluid retention (n = 4) and gastrointestinal symptoms (n = 1). None developed echocardiography-proven pulmonary hypertension in this cohort. Conclusion Low-dose diazoxide (3–5 mg/kg/day) is effective and well-tolerated for managing the transient form of HH in our setting. This benefit appears not to be limited to babies born with SGA, but may extend to other risk factors as well.
Diazoxide ; Hypoglycemia

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

The study was aimed at identifying the diversity of tick species in selected areas of Qinghai,to analyze the genetic differentiation characteristics of tick-borne spotted fever group rickettsiae(SFGR),and to provide the theoretical basis for SFGR prevention and control in the region.The 16S rRNA gene was used for molecular biological identification of 446 collected tick samples,and the infection characteristics of SFGR in tick samples were determined according to the SFGR outer membrane protein A(ompA)gene.Haplotype analysis,phylogenetic tree construction,and estimation of differentiation times for SFGR were conducted in DNASP v6,IQ-tree v2.2.0,and BEAST v2.7.4 software.The obtained 446 tick samples belonged to three categories:(1)Haemaphy-salis spp.,including Haemaphysalis qinghaiensis(n=192)and H.danieli(n=37);(2)Dermacentor spp.,including Dermacentor ever-estianus(n=121),D.nuttalli(n=55),and D.silvarum(n=36);and(3)Hyalomma marginatum(n=5).Rickettsia raoultii was de-tected in D.everestianus,D.silvarum,D.nuttalli,H.qinghaiensis,and H.danieli,with infection rates of 95.9%,80.6%,69.1%,4.1%,and 2.7%,respectively.R.sibirica subsp.sibirica BJ-90 was found only in D.silvarum and D.nuttalli,with infection rates of 5.6%and 1.8%,respectively.The Candidatus R.gannanii F107 was found in H.danieli and H.qinghaiensis,with infection rates of 16.2%and 7.8%,respectively.Ca.R.hongyuanensis was detected only in H.qinghaiensis,with a prevalence of 16.3%.The prevalence of R.aeschlimannii was 20%and 2.7%in Hy.marginatum and H.danieli,respectively.Haplotype and nucleotide polymorphism analy-ses revealed 13 haplotypes in R.raoultii,with haplotype H13 as the dominant haplotype(42/192);seven haplotypes in Ca.R.ganna-nii F107,with haplotype H4 as the dominant haplotype(4/18);and three haplotypes in Ca.R.hongyuanensis,with haplotype H1 as the dominant haplotype(11/13).The phylogenetic tree indicated that the sequences of R.raoultii in selected areas of Qinghai and R.rhipicephali clustered into one branch;Ca.R.hongyuanensis and Ca.R.gannanii F107 clustered into one branch;and R.sibirica subsp.sibirica BJ-90 clustered into one branch with R.sibirica.Estimates of differentiation time revealed that the mean differentiation time for the six Rickettsia was approximately 2 000 Mya(95%CI:1 999.08-2 001.02 Mya).The tick species distributed in selected ar-eas of Qinghai are diverse,and this study provides the first report of Hy.marginatum in Qinghai Province.SFGR significantly varied in prevalence among tick species and showed high genetic diversity.

Objective:To investigate the neuroprotective effect of non-invasive vagus nerve stimulation(nVNS)on traumatic brain injury(TBI).Methods:Male SD rats were used to prepare controlled cortical impact(CCI)rat mod-el.nVNS treatment was performed.The motor function of rats was detected by beam walking test.The water content of rats was evaluated by the dry-wet ratio of rat brain tissue.The content of lactate dehydrogenase(LDH)in cerebrospinal fluid was detected by commercial kit.The expression of bain-derived neurotrophic factor(BDNF)and nerve growth fac-tor(NGF)mRNA in rat cortex was detected by RT-qPCR.Results:After nVNS stimulation,CCI rats significantly im-proved the neurological function deficit,improved the motor ability,decreased the cerebral water content,decreased the level of LDH in cerebrospinal fluid,and upregulated the expression of BDNF and NGF mRNA in cortex.Conclusion:nVNS has a neuroprotective effect on TBI rats,and its mechanism may be related to the increased expression of BDNF and NGF.

Objective:To compare the safety and accuracy between robotic-assisted screw placement and free-hand screw placement in adolescent idiopathic scoliosis (AIS) surgery.Methods:The clinical data of 69 AIS patients underwent posterior spinal scoliosis orthomorphia from December 2021 to October 2023 in Beijing Chaoyang Hospital, Capital Medical University were retrospectively analyzed. Among them, 37 patients underwent robot-assisted screw placement (robot group), and 32 patients underwent fluoroscopy-assisted free-hand screw placement (free-hand group). The basic information of surgery (operation time, intraoperative blood loss, intraoperative radiation exposure time, postoperative hospital stay and postoperative complications), screw placement indexes (single screw placement time and accuracy of screw placement) and imaging indexes (main curve correction rate, kyphotic change and lumbar lordosis change) were compared between two groups. The ln curve regression analysis method was used to evaluate the learning curve of robot-assisted screw placement therapy for AIS.Results:A total of 716 screws were placed in 32 patients of free-hand group, and 766 screws in 37 patients of robot group. The operation time, intraoperative radiation exposure time, single screw placement time and accuracy of screw placement in robot group were significantly higher than those in free-hand group: (272.30 ± 67.98) min vs. (221.66 ± 67.32) min, (149.81 ± 57.21) s vs. (116.03 ± 63.10) s, (497.97 ± 51.74) s vs. (381.47 ± 46.58) s and 97.91% (750/766) vs. 91.48% (655/716), and there were statistical differences ( P<0.01 or <0.05); there were no statistical differences in intraoperative blood loss, postoperative hospital stay, incidence of neurological complications, incidence of incision infection and number of screw between two groups ( P>0.05). There were no statistical differences in the main curve correction rate, kyphotic change and lumbar lordosis change between two groups ( P>0.05). When the fitting degree was the highest ( R2 = 0.729, P<0.01), the fitting equation was y = - 50.93ln x + 634.7 ( x was the number of operation, and y was the single screw placement time), and the number of vertices was 12 cases. The robot group was divided into three subgroups according to the order of surgery, subgroup A consisted of 12 patients who underwent the surgery from first to twelfth, subgroup B consisted of 12 patients who underwent the surgery from thirteenth to twenty-fourth, and subgroup C consisted of 13 patients who underwent the surgery from twenty-fifth to thirty-seventh. Among them, the single screw placement time in subgroup A was significantly longer than that in subgroup B and subgroup C: (560.92 ± 35.03) s vs. (465.75 ± 21.20) and (469.62 ± 24.94) s, and there was statistical difference ( P<0.05); there was no statistical difference between subgroup B and subgroup C ( P>0.05). Conclusions:Robot-assisted screw placement for AIS can effectively improve the accuracy of screw placement without affecting deformity correction, but it can increase screw placement time, operation time and radiation exposure time. A smooth learning curve is obtained after performing 12 procedures.

Relevant China's literature on the application of brain-computer interface technology in the field of rehabilita-tion of stroke patients was retrieved in the China Knowledge Network database from its establishment to December 31,2024,and CiteSpace visual analysis software was used to analyze the selected literature in terms of trend of annual publica-tion number,author collaboration network,keyword co-occurrences and emergences and to generate a corresponding knowledge map.It's pointed out brain-computer interface technology showed significant application potential for motor function recovery and neurorehabilitation,which had the research hotspots of the cross technologies covering motor imagina-tion,rehabilitation training and virtual reality and the research frontiers of the fusion application of intelligent algorithms of deep learning and pattern recognition.The challenges and future development directions of the field were investigated,and references were provided for promoting the application of brain-computer interface technology to rehabilitation of sroke patients in China.[Chinese Medical Equipment Journal,2025,46(9):65-69]

Objective:To explore the therapeutic effect of Bupiqiangli compound on experimental myasthenia gravis with sub-clinical hypothyroidism in rats and the influence of hypothalamus-pituitary-thyroid-thymus(HPTT)axis.Methods:SPF Lewis rats were randomly divided into normal group,model group,Bupiqiangli compound low-dose,medium-dose and high-dose groups.Model rats were immunized with AchR-α subunit 97-116 peptide sequence to construct an experimental myasthenia gravis model,and then methimazole was used to prepare an experimental myasthenia gravis with subclinical hypothyroidism model.Bupiqiangli compound low-dose,medium-dose and high-dose groups were given 4.57 g/kg,7.12 g/kg and 9.49 g/kg of Bupiqiangli compound by gavage,nor-mal group and model group were given an equal volume of normal saline by gavage,once a day,for 4 weeks.After the last gavage,Lennon scores of rats in each group were recorded;HE staining was used to detect pathological changes of thymus and thyroid;ELISA was used to detect expression levels of acetylcholine receptor antibody(AchRab),thyroid stimulating hormone(TSH),thyrotropin releasing hormone(TRH),free thyroxine(FT4)and thyroxine(T4)in serum;mRNA level of TRH in hypothalamus and TSH in pituitary tissue were detected by qPCR;Western blot detected changes of protein expressions of Cleaved Caspase3,Bcl2 associated X protein(Bax)and B-cell lymphoma-2(Bcl2)in thymus.Results:Compared with normal group,model group showed obvious symp-toms of muscle weakness,Lennon score increased significantly(P<0.05),obvious pathological changes in thymus and thyroid tissues,while no significant changes in expressions of FT4 and T4 in serum(P>0.05),expressions of AchRab,TSH and TRH in serum were significantly increased(P<0.05),expressions of TRH in hypothalamus and TSH in pituitary were significantly increased(P<0.05),protein expressions of Cleaved Caspase3 and Bax in thymus were significantly decreased(P<0.05),while expression of Bcl2 protein in thymus increased significantly(P<0.05).Compared with model group,myasthenia symptoms of compound high-dose group were im-proved,Lennon score was significantly decreased(P<0.05),pathological changes of thymus and thyroid tissues were improved,ex-pressions of FT4 and T4 in serum had no significant changes(P>0.05),expressions of AchRab,TSH and TRH in serum were signifi-cantly decreased(P<0.05),expressions of TRH in hypothalamus and TSH in pituitary were significantly decreased(P<0.05),expres-sions of Cleaved Caspase3 and Bax in thymus were significantly increased(P<0.05),while expression of Bcl2 in thymus was signifi-cantly decreased(P<0.05).Conclusion:Bupiqiang compound can improve clinical symptoms of experimental myasthenia gravis with subclinical hypothyroidism in rats,and its mechanism may be related to the regulation of HPTT axis.

Objective To explore the effect and mechanism of knockdown of mitochondrial transcription factor A(TFAM)on the growth of gastrointestinal stromal tumor(GIST)cells mediated by tumor-associated macrophages(TAMs)polarization.Methods Human acute leukemia mononuclear macrophage cell line THP-1 induced by phobate and interleukin(IL)-4 was used to establish TAMs,lentivirus shRNA TFAM and negative control shRNA NC were transfected into TAMs,which were recorded as TAMs+sh-TFAM group and TAMs+sh-NC group,respectively,the untransfected cells were recorded as the TAMs group.The mRNA expression of TFAM,IL-10 and arginase-1(Arg-1)was detected by qRT-PCR.The TFAM protein expression was detected by Western blot.The expression level of CD206 was detected by flow cytometry.The human GIST cell line GIST-T1 were divided into GIST-T1 group,TAMs+GIST-T1 group,TAMs+sh-NC+GIST-T1 group,TAMs+sh-TFAM+GIST-T1 group,and treated with fresh medium containing different TAMs culture supernatants.The cell proliferation and apoptosis levels were detected by CCK-8,EdU staining and Annexin V-FITC/PI double staining respectively.Results Compared with TAMs group and TAMs+sh-NC group,the TFAM mRNA and protein expression levels of THP-1 cells in TAMs+sh-TFAM group were significantly down-regulated(P<0.05).Compared with control group,the expression levels of CD206 and IL-10 and Arg-1 mRNA of THP-1 cells in TAMs group were significantly increased(P<0.05).Compared with TAMs+sh-NC group,the expression levels of CD206 and IL-10 and Arg-1 mRNA of THP-1 cells in TAMs+sh-TFAM group were significantly decreased(P<0.05).Compared with GIST-T1 group,the proliferative activity of GIST-T1 cells and EdU positive cells rate in TAMs+GIST-T1 group were significantly increased(P<0.05),while the apoptosis rate was significantly decreased(P<0.05).Compared with TAMs+sh-NC+GIST-T1 group,the proliferative activity of GIST-T1 cells and EdU positive cells rate in TAMs+sh-TFAM+GIST-T1 group were significantly decreased(P<0.05),while the apoptosis rate was significantly increased(P<0.05).Conclusion Knockdown of TFAM can inhibit the polarization of TAMs to M2 phenotype,thus inhibiting the proliferation of GIST cells,promoting cell apoptosis,and preventing the progression of GIST.