Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

OBJECTIVE To investigate the potential mechanism of berberine improving diabetes mellitus type 2 （T2DM） combined with metabolic-associated fatty liver disease （MAFLD） by regulating ceramide. METHODS Thirty-two db/db mice with blood glucose levels＞11.1 mmol/L （T2DM model） were divided into four groups： model group， berberine low- and high-dose groups [100， 200 mg/（kg·d）] and metformin group [300 mg/（kg·d）]， with 8 mice in each group. Additionally， 8 wt/wt mice were selected as the normal control group. Mice in each group were administered the corresponding drug solution or water by gavage once daily for a continuous period of 6 weeks. During the experiment， the body weight of the mice was monitored， and the differences in final body weight were analyzed. After the last administration， the body shape of the mice in each group was observed， and their fasting blood glucose （FBG） and the lipid indicators [total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）] were measured. Fasting serum insulin （FINS） levels were also measured， and the insulin resistance index HOMA-IR） and insulin sensitivity index （ISI） were calculated. Liver weight， liver index and serum liver function indicators [alanine transaminase （ALT）， aspartate transaminase（AST）] were assessed， and hepatic histopathological changes were observed. Additionally， the expression of fatty acid synthesis-related proteins [sterol regulatory element-binding protein 1 （SREBP1）， fatty acid synthase （FASN）， acetyl-CoA carboxylase 1 （ACC1）] in liver tissue was examined. Serum samples from the normal control group， model group， and berberine high-dose group were collected for non-targeted lipidomics analysis and validation. RESULTS Compared with the model group， the pathological changes， including disordered liver tissue cell arrangement and lipid vacuoles， were significantly improved in the berberine low- and high-dose groups. The significant decreases or down-regulations were observed in body weight in the last week， as well as FBG， TC， TG， and LDL-C levels， HOMA-IR （except for the berberine low-dose group）， liver weight， liver index， AST and ALT levels， and protein expressions of SREBP1， FASN and ACC1. Additionally， HDL-C levels， FINS （except for the berberine high-dose group）， and ISI （except for the berberine low-dose group） were significantly increased （P＜0.05）. A total of 21 potential differential metabolites， including multiple types of ceramides， were identified； these metabolites were primarily enriched in sphingolipid metabolism and glycerophospholipid metabolism pathways. Verification experiments confirmed that high-dose berberine significantly reduced the serum content of ceramide in model mice （P＜0.05）. CONCLUSIONS Berberine reduces insulin resistance， improves liver damage and lipid accumulation in the T2DM combined with MAFLD mice， and these effects may be related to the reduction of ceramide content.

Chemotherapy is an important treatment for tumors， but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine （TCM） has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors， such as cold-natured （e.g. Scutellaria baicalensis， Rhus chinensis）， cool-natured （e.g. Ligustrum lucidum， Ophiopogon japonicus）， warm-natured （e.g. Panax ginseng， Epimedium brevicornu， Curcuma longa， Angelica sinensis）， hot-natured （e.g. Cinnamomum cassia， Aconitum carmichaeli）， and neutral-natured （e. g. donkey-hide gelatin， Lycium barbarum， Rhodiola rosea， fungi）， can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells， improving the bone marrow hematopoietic microenvironment， inhibiting the oxidative stress response， regulating signaling pathways， so as to ultimately repaire inflammatory damage and improve hematopoietic function， thereby playing an anti-myelosuppressive role.

An etiological analysis of a diarrhea outbreak attributed to C.perfringens was conducted.Anal swab and envi-ronmental smear samples were collected and subjected to fluorescence PCR detection of C.perfringens plc and cpe,as well as isolation and culture of C.perfringens before and after enrichment culture.The isolated colonies underwent fully automated bi-ochemical identification and time-of-flight mass spectrometry analysis.Whole genome sequencing of isolates identified as C.perfringens was performed to analyze the strain carrying virulence and resistance genes,and the genetic aggregation based on single nucleotide polymorphisms in the core genome for all isolates.The positivity rates for plc and cpe genes without bacterial enhancement were 46.15％(6/13)and 53.85％(7/13),respectively.The positivity rates for plc and cpe genes after 24 h anae-robic bacterial enhancement in BHI were 38.46％(5/13)and 53.85％(7/13).All ten isolated CP belonged to the F biotype,with virulence gene characteristics of plc+/cpb-/etx-/iA-/cpe+/cpb2+/netB-.The phylogenomic tree indicated that all ten case-patient isolates except P1 isolate(lineage 1)were closely related and clustered together in a single clade(lineage 2).Lineage 1 belonged to ST589 and carried the macrolide re-sistance gene erm(Q),whereas lineage 2 belonged to ST149 and carried the tetracycline resistance gene tetB(P).The outbreak was caused by type F C.perfringens,and most ca-ses were infected with a group of highly clonogenic cpe+col-onies.Whole genome sequencing technology can be applied to etiology analysis of C.perfringens outbreak events,and the enrichment culture and molecular screening methods for C.per-fringens based on anal swab samples should be further developed and applied.

Objective To explore the influence of impulsivity on digital addiction tendencies in patients with Wilson disease(WD)and its related factors.Methods A total of 66 patients with WD were included in the study which were divided into neurological WD group(42 cases)and hepatic WD group(24 cases)according to clinical manifestations.Sixty-six WD patients were included as the study subjects,including 24 cases of hepatic WD and 42 cases of neurological WD.The Chinese version of the Barratt impulsiveness scale(BIS-11-C)was used to assess patients'impulsiveness.Mobile phone addiction index(MPAI)evaluates the degree of dependence on mobile phone use.Cranial MRI was used to examine the location and cumulative frequency of the diseased brain region.Results Among the 66 WD patients,45 cases(68.2% )had the tendency of digital addiction,including 35 cases(53.0% )in the neurological WD group and 10 cases(15.2% )in the hepatic WD group.There was a statistically significant difference in the proportion of the two types of WD patients(P=0.001).The scores of BIS-11-C and MPAI scales in neurological WD group were higher than those in hepatic WD group(P<0.05).The out-of-control score in the MPAI scale is positively correlated with the attention impulsivity score(r=0.499,P=0.001),motor impulsivity score(r=0.553,P=0.001),unplanned impulsivity score(r=0.535,P=0.001),and impulse control score(r=0.653,P=0.001)in the BIS-11-C scale.Linear regression analysis showed a correlation between attention impulsivity score and frontal lobe lesions(B=-1.634,P=0.018).There was a correlation between loss of control score and frontal lobe lesions(B=-3.609,P=0.023).The withdrawal score was associated with the thalamus lesions(B=-5.047,P=0.007)and frontal lobe lesions(B=-2.204,P=0.024).Avoidance score was associated with parietal lobe lesions(B=-1.867,P=0.032).The low efficacy score was associated with the putamen lesions(B=-1.789,P=0.016)and frontal lobe lesions(B=-1.592,P=0.044).Conclusion Neurological WD patients have higher tendency of digital addiction than hepatic WD patients and the tendency of digital addiction is related to impulsivity.The digital addiction tendency of WD patients may be related to impulse control disorders caused by lesions in multiple brain regions such as the putamen,thalamus,and frontal lobe.

Freezing of gait is a common gait disorder in Parkinson disease (PD), which is highly disabling, situational and therapeutically challenging. At present, there is no clear and effective intervention method. In recent ten years, exercise training based on cognitive-motor dual tasks has been more and more used in the intervention treatment of freezing of gait of PD patients, and achieved certain clinical results. The muscle-brain crosstalk effect of exercise training promoting muscle secretory factors is crucial for freezing of gait rehabilitation of PD. There are differences in the effects of cognitive-motor dual tasks of different types and loads on gait, but the specific training types and loads and mechanism of action still need to be further elucidated. This paper focuses on the research progress of muscle-brain crosstalk mechanism in cognitive-motor interference effect of freezing of gait in PD patients, aiming to providing a new theoretical perspective for clinical cognitive-motor training intervention of freezing of gait in PD patients.

Objective:To evaluate the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative fatigue syndrome in patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.Methods:Sixty patients with Parkinson′s disease, aged 60-80 yr, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, with body mass index of 18.5-29.9 kg/m 2, undergoing elective bilateral deep brain electrical stimulation, were divided into transcutaneous electrical acupoint stimulation group (TEAS group) and sham stimulation group (Sham group), with 30 patients in each group, using the random number table method. The TEAS of bilateral Zusanli and Sanyin points was performed on admission to the operating room with alternative stimulation at a frequency of 2/10 Hz and an intensity of 6-15 mA. The stimulation was stopped when the neurosurgeon performed the microelectrode recording, and TEAS was continued until the end of operation after the microelectrode recording was finished. In Sham group, electrode pads were only placed at the acupoint with no stimulation. The Christensen score was assessed at 1 day preoperatively (T 0) and 1, 3 and 7 days postoperatively (T 1-3) to evaluate the occurrence of postoperative fatigue syndrome. The 15-item Quality of Recovery scale score, emergence agitation and rescue analgesia within 48 h after surgery were recorded. Results:Compared with Sham group, Christensen scores were significantly decreased at T 1-3, 15-item Quality of Recovery scale scores were increased, and the incidence of postoperative fatigue syndrome and emergence agitation and rate of rescue analgesia were decreased in TEAS group than in Sham group ( P<0.05). Conclusions:TEAS can reduce the development of postoperative fatigue syndrome in the patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.

Spinocerebellar ataxia (SCA) is a group of progressively aggravated neurodegenerative disease with autosomal dominant inheritance. Cerebellar ataxia is the core symptom, which may be accompanied by pyramidal tract signs, extrapyramidal signs, cognitive dysfunction and peripheral neuropathy. Although SCA can be accurately diagnosed by genetic testing, treatment is still difficult. We review the pathogenesis and therapeutic targets of SCA in recent years, in terms of genetic or gene regulation abnormalities, disruption of protein quality control (PQC) network, disruption of energy homeostasis, stability maintenance of PQC system, maintenance of cerebellar Purkinje cell function, and regulation of neuroinflammation, so as to promote the transformation of preclinical research into human therapy.