Microorganisms are closely associated with human health, and their pathogenicity is a key factor in various infectious diseases, particularly in dentistry, where they contribute to common conditions such as dental caries, periodontitis, and oral mucosal diseases. Accurate and rapid microbial detection is crucial for early diagnosis, targeted therapy, and disease prevention. Conventional methods, including bacterial culture and molecular biological assays, offer specificity but are limited by long detection cycles, complex procedures, and dependence on laboratory conditions. Terahertz (THz) spectroscopy has emerged as a promising tool in microbial detection due to its non-ionizing nature, high sensitivity, and specific responses to water molecules and biomacromolecules. Integrating THz time-domain spectroscopy, near-field imaging, and metamaterial-enhanced techniques, studies have demonstrated the ability of this approach to effectively distinguish bacteria, fungi, and yeast, differentiate gram-positive and gram-negative bacteria, and even assess bacterial viability. Machine learning has further enhanced feature extraction and classification accuracy, and THz-based methods have shown notable advantages in multi-class microbial identification, detection of antibiotic-resistant strains, and quantitative analysis of microbial concentrations. However, current THz technologies are still constrained by strong water absorption, limited penetration depth, and the lack of standardized spectral databases. Future efforts should focus on mitigating water background interference, improving detection in complex samples, and establishing unified microbial spectral standards. This review systematically summarizes the latest advances of THz technologies in microbial detection, analyzes their mechanisms, advantages, and translational challenges, and proposes directions for future research.

Objective:To evaluate the nutritional status of patients with decompensated liver cirrhosis and explore the correlation with malnutrition and the risk factors of depressed mood.Methods:190 cirrhotic patients admitted to the Department of Gastroenterology of the First Hospital of Shanxi Medical University from June to September 2023 were selected according to the inclusion and exclusion criteria. Eligible patients were divided into subgroups based on the presence or absence of malnutrition as determined by subjective global assessment (SGA). The Center for Epidemiological Studies Depression (CES-D) scale was used to assess patients' propensity for depressed mood. Relevant clinical data were also collected and analyzed.Results:A total of 185 patients were included, of which 126 were in the non-malnutrition group and 59 malnutrition group. There were significant between-group differences in terms of CES-D results, age, body mass index, platelets, D-dimer, serum sodium, third lumbar skeletal muscle index, grip strength, triceps skinfold thickness, and upper arm muscle circumference (all P<0.05). Correlation analysis showed that grip strength, triceps skinfold thickness, upper arm muscle circumference, serum sodium, and depressed mood tendency status were correlated with the development of cirrhotic malnutrition ( P<0.05). The diagnostic model for malnutrition in cirrhosis using these five indicators showed the area under the curve of 81.9%. Conclusions:Depression is closely related to the development of malnutrition in patients with liver cirrhosis. Independent risk factors for malnutrition in cirrhosis include serum sodium≤135 mmol/L, grip strength, triceps skinfold thickness, lower-than-normal upper arm circumference , and the tendency of depression , which demonstrate the combined contribution to the diagnosis of malnutrition in cirrhosis.

Objective To explore the relations of clinical phenotypes of type Ⅰ-ⅣV spinal muscular atrophy (SMA) with neural electrophysiological features and survival motor neuron (SMN)gene.Methods A total of 85 patients with SMA,including 46 with infantile form in which 19 of type Ⅰ and 27 of type Ⅱ,24 with juvenile form (type Ⅲ),and 15 with adult form (type ⅣV),were involved in this clinical study.Their clinical data were analyzed.The neural conduction,needle electromyography (EMG)and SMN1 gene deletion were analyzed.Results There existed different clinical features among patients who suffered from type Ⅰ to type ⅣV SMA.However,the major clinical features of SMA were displayed by progressively aggravating of flaccid paralysis in muscles of the four limbs,and the younger of the patients,the more serious of the clinical manifestations.EMG exhibited neurogenic lesion in all 43 SMA patients,33 patients presented generalized neurogenic lesions,and the abnormal degree of muscles in lower limbs was more severe than that of upper limbs,and the proximal muscles was more severe than that of the distal ones.The abnormal rate of spontaneous potential,weak contraction with raise potential and amplitude of compound motor active potential in adult and juvenile SMA were significantly lower than those in infantile SMA.SMN1 gene exon 7 and 8 were detected in all 85 patients with SMA.A total of 61 patients were found with deletion of exon 7 and/or 8 in SMN1 gene.Infantile SMA patients enjoyed 95.7％ (44/46) detection rate,juvenile SMA patients enjoyed 70.8％ (17/24) detection rate;no adult SMA patients were found with deletion ofexon 7 and/or 8 in SMN1 gene.Conclusions The more serious of clinical manifestations in SMA patients,the higher abnormality rote in electrophysiological tests.The exons deletion in SMN1 gene could result in alterations of SMA phenotypes,but it has nothing to do with the severity of SMA.Gene deletion analysis of SMN1 gene can be considered as the preferred fimal diagnosis method for infantile SMA patients.But as for juvenile form,its diagnosis depending on gene deletion analysis of SMN1 gene will be analyzed with precaution.While as for adult form of SMA,the incidence of SMA may be independent with SMN1 gene deletion.Therefore,generally,SMN1 gene assay is not taken as the routine diagnose method for adult form SMA.